Housing Characteristics

Each parameter sampled by the national project is listed alphabetically as its own subsection below. For each parameter, the following (if applicable) are reported based on the contents of the source_report.csv:

  • Description

  • Created by

  • Source

  • Assumption

Additionally, for each parameter an Arguments table is populated (if applicable) based on the contents of ResStockArguments and BuildResidentialHPXML measure.xml files.

  • Name [1]

  • Required [2]

  • Units

  • Type [3]

  • Choices

  • Description

Furthermore, all optional Choice arguments include “auto” as one of the possible Choices. Most optional String/Double/Integer/Boolean arguments can also be assigned a value of “auto” (e.g., site_ground_conductivity). Assigning “auto” means that downstream default values (e.g., from OpenStudio-HPXML) will be used (if applicable). When an argument is defaulted using OpenStudio-HPXML, the Description field will include link(s) to OpenStudio-HPXML documentation describing these default values.

AHS Region

Description

The American Housing Survey region that the sample is located.

Created by

sources/spatial/tsv_maker.py

Source

  • Spatial definitions are from the U.S. Census Bureau as of July 1, 2015.

  • Unit counts are from the American Community Survey 5-yr 2016.

  • Core Based Statistical Area (CBSA) data based on the Feb 2013 CBSA delineation file.

Options

From project_national the list of options, option stock saturation, and option arguments for the AHS Region characteristic.

Option name

Stock saturation

CBSA Atlanta-Sandy Springs-Roswell, GA

1.7%

CBSA Boston-Cambridge-Newton, MA-NH

1.4%

CBSA Chicago-Naperville-Elgin, IL-IN-WI

2.8%

CBSA Dallas-Fort Worth-Arlington, TX

2%

CBSA Detroit-Warren-Dearborn, MI

1.4%

CBSA Houston-The Woodlands-Sugar Land, TX

1.8%

CBSA Los Angeles-Long Beach-Anaheim, CA

3.4%

CBSA Miami-Fort Lauderdale-West Palm Beach, FL

1.9%

CBSA New York-Newark-Jersey City, NY-NJ-PA

5.9%

CBSA Philadelphia-Camden-Wilmington, PA-NJ-DE-MD

1.8%

CBSA Phoenix-Mesa-Scottsdale, AZ

1.4%

CBSA Riverside-San Bernardino-Ontario, CA

1.1%

CBSA San Francisco-Oakland-Hayward, CA

1.3%

CBSA Seattle-Tacoma-Bellevue, WA

1.1%

CBSA Washington-Arlington-Alexandria, DC-VA-MD-WV

1.7%

Non-CBSA East North Central

11%

Non-CBSA East South Central

6.2%

Non-CBSA Middle Atlantic

5.5%

Non-CBSA Mountain

5.9%

Non-CBSA New England

3.4%

Non-CBSA Pacific

7.5%

Non-CBSA South Atlantic

15%

Non-CBSA West North Central

6.9%

Non-CBSA West South Central

7.8%

AIANNH Area

Description

American Indian/Alaska Native/Native Hawaiian Area that the sample is located.

Created by

sources/spatial/tsv_maker.py

Source

  • 2010 Census Tract to American Indian Area (AIA) Relationship File provides percent housing unit in tract that belongs to AIA.Spatial definitions are from the U.S. Census Bureau as of July 1, 2015.

  • Unit counts are from the American Community Survey 5-yr 2016.

Assumption

  • (2010) Tract is mapped to (2015) County and PUMA by adjusting for known geographic changes (e.g., renaming of Shannon County to Oglala Lakota County, SD) However, Tract=G3600530940103 (Oneida city, Madison County, NY) could not be mapped to County and PUMA and was removed. The tract contains only 11 units for AIA.

Options

From project_national the list of options, option stock saturation, and option arguments for the AIANNH Area characteristic.

Option name

Stock saturation

No

98%

Yes

1.6%

ASHRAE IECC Climate Zone 2004

Description

Climate zone according to ASHRAE 169 in 2004 and IECC in 2012 that the sample is located.

Created by

sources/spatial/tsv_maker.py

Source

  • Spatial definitions are from the U.S. Census Bureau as of July 1, 2015.

  • Unit counts are from the American Community Survey 5-yr 2016.

  • Climate zone data are from ASHRAE 169 2006, IECC 2012, and M.C. Baechler 2015.

Arguments

Name

Required

Units

Type

Choices

Description

site_type

false

Choice

auto, suburban, urban, rural

The type of site. If not provided, the OS-HPXML default (see HPXML Site) is used.

site_iecc_zone

false

Choice

auto, 1A, 1B, 1C, 2A, 2B, 2C, 3A, 3B, 3C, 4A, 4B, 4C, 5A, 5B, 5C, 6A, 6B, 6C, 7, 8

IECC zone of the home address.

Options

From project_national the list of options, option stock saturation, and option arguments for the ASHRAE IECC Climate Zone 2004 characteristic.

Option name

Stock saturation

site_type

site_iecc_zone

1A

1.8%

auto

1A

2A

12%

auto

2A

2B

2%

auto

2B

3A

13%

auto

3A

3B

9.3%

auto

3B

3C

2.3%

auto

3C

4A

22%

auto

4A

4B

0.77%

auto

4B

4C

2.9%

auto

4C

5A

23%

auto

5A

5B

3.8%

auto

5B

6A

6.1%

auto

6A

6B

0.92%

auto

6B

7A

0.79%

auto

7

7AK

0.18%

auto

7

7B

0.11%

auto

7

8AK

0.052%

auto

8

ASHRAE IECC Climate Zone 2004 - Sub-CZ Split

Description

Climate zone according to ASHRAE 169 in 2004 and IECC in 2012 that the sample is located. Climate zone where climate zone 2A is split between counties in TX, LA and FL, GA, AL, and MSClimate zone where climate zone 1A is split between counties in FL and HI

Created by

sources/spatial/tsv_maker.py

Source

  • Spatial definitions are from the U.S. Census Bureau as of July 1, 2015.

  • Unit counts are from the American Community Survey 5-yr 2016.

  • Climate zone data are from ASHRAE 169 2006, IECC 2012, and M.C. Baechler 2015.

Assumption

  • This characteristic is used to better represent HVAC types in the 2A climate zone.This characteristic is used to better represent partial conditioning in the 1A climate zone.

Options

From project_national the list of options, option stock saturation, and option arguments for the ASHRAE IECC Climate Zone 2004 - Sub-CZ Split characteristic.

Option name

Stock saturation

1A - FL

1.4%

1A - HI

0.4%

2A - FL, GA, AL, MS

6.2%

2A - TX, LA

5.4%

2B

2%

3A

13%

3B

9.3%

3C

2.3%

4A

22%

4B

0.77%

4C

2.9%

5A

23%

5B

3.8%

6A

6.1%

6B

0.92%

7A

0.79%

7AK

0.18%

7B

0.11%

8AK

0.052%

Area Median Income

Description

Area median income of the household occupying the dwelling unit.

Created by

sources/pums/pums2019_5yrs/tsv_maker.py

Source

  • % Area Median Income is calculated using annual household income in 2019USD (continuous, not binned) from 2019-5yrs PUMS data and 2019 Income Limits from HUD. These limits adjust for household size AND local housing costs (AKA Fair Market Rents). Income Limits reported at county subdivisions are consolidated to County using a crosswalk generated from Missouri Census Data Center’s geocorr (2014), which has 2010 ACS housing unit count. For the 478 counties available in PUMS (60%), the county-level Income Limits are used. For all others (40%), PUMA-level Income Limits are used, which are converted from county-level using the spatial_tract_lookup file containing 2010 ACS housing unit count.

Options

From project_national the list of options, option stock saturation, and option arguments for the Area Median Income characteristic.

Option name

Stock saturation

0-30%

13%

30-60%

14%

60-80%

9.7%

80-100%

9.4%

100-120%

7.9%

120-150%

9.5%

150%+

24%

Not Available

12%

Bathroom Spot Vent Hour

Description

Bathroom spot ventilation daily start hour

Created by

manually created

Source

  • Same as occupancy schedule from Wilson et al. ‘Building America House Simulation Protocols’ 2014

Arguments

Name

Required

Units

Type

Choices

Description

bathroom_fans_quantity

false

#

Integer

auto

The quantity of the bathroom fans. If not provided, the OS-HPXML default (see HPXML Local Ventilation Fans) is used.

bathroom_fans_flow_rate

false

CFM

Double

auto

The flow rate of the bathroom fans. If not provided, the OS-HPXML default (see HPXML Local Ventilation Fans) is used.

bathroom_fans_hours_in_operation

false

hrs/day

Double

auto

The hours in operation of the bathroom fans. If not provided, the OS-HPXML default (see HPXML Local Ventilation Fans) is used.

bathroom_fans_power

false

W

Double

auto

The fan power of the bathroom fans. If not provided, the OS-HPXML default (see HPXML Local Ventilation Fans) is used.

bathroom_fans_start_hour

false

hr

Integer

auto

The start hour of the bathroom fans. If not provided, the OS-HPXML default (see HPXML Local Ventilation Fans) is used.

Options

From project_national the list of options, option stock saturation, and option arguments for the Bathroom Spot Vent Hour characteristic.

Option name

Stock saturation

bathroom_fans_quantity

bathroom_fans_flow_rate

bathroom_fans_hours_in_operation

bathroom_fans_power

bathroom_fans_start_hour

Hour0

6.1%

auto

auto

auto

auto

0

Hour1

6.1%

auto

auto

auto

auto

1

Hour2

6.1%

auto

auto

auto

auto

2

Hour3

6.1%

auto

auto

auto

auto

3

Hour4

6.1%

auto

auto

auto

auto

4

Hour5

6.1%

auto

auto

auto

auto

5

Hour6

6.1%

auto

auto

auto

auto

6

Hour7

5.3%

auto

auto

auto

auto

7

Hour8

2.5%

auto

auto

auto

auto

8

Hour9

1.5%

auto

auto

auto

auto

9

Hour10

1.5%

auto

auto

auto

auto

10

Hour11

1.5%

auto

auto

auto

auto

11

Hour12

1.5%

auto

auto

auto

auto

12

Hour13

1.5%

auto

auto

auto

auto

13

Hour14

1.5%

auto

auto

auto

auto

14

Hour15

1.5%

auto

auto

auto

auto

15

Hour16

1.8%

auto

auto

auto

auto

16

Hour17

3.3%

auto

auto

auto

auto

17

Hour18

5.4%

auto

auto

auto

auto

18

Hour19

5.4%

auto

auto

auto

auto

19

Hour20

5.4%

auto

auto

auto

auto

20

Hour21

6.1%

auto

auto

auto

auto

21

Hour22

6.1%

auto

auto

auto

auto

22

Hour23

6.1%

auto

auto

auto

auto

23

Battery

Description

The presence, size, location, and efficiency of an onsite battery (not modeled in project_national).

Created by

manually created

Source

  • n/a

Arguments

Name

Required

Units

Type

Choices

Description

battery_present

true

Boolean

true, false

Whether there is a lithium ion battery present.

battery_location

false

Choice

auto, conditioned space, basement - conditioned, basement - unconditioned, crawlspace, crawlspace - vented, crawlspace - unvented, crawlspace - conditioned, attic, attic - vented, attic - unvented, garage, outside

The space type for the lithium ion battery location. If not provided, the OS-HPXML default (see HPXML Batteries) is used.

battery_power

false

W

Double

auto

The rated power output of the lithium ion battery. If not provided, the OS-HPXML default (see HPXML Batteries) is used.

battery_capacity

false

kWh

Double

auto

The nominal capacity of the lithium ion battery. If not provided, the OS-HPXML default (see HPXML Batteries) is used.

battery_usable_capacity

false

kWh

Double

auto

The usable capacity of the lithium ion battery. If not provided, the OS-HPXML default (see HPXML Batteries) is used.

battery_round_trip_efficiency

false

Frac

Double

auto

The round trip efficiency of the lithium ion battery. If not provided, the OS-HPXML default (see HPXML Batteries) is used.

Options

From project_national the list of options, option stock saturation, and option arguments for the Battery characteristic.

Option name

Stock saturation

battery_present

battery_location

battery_power

battery_capacity

battery_usable_capacity

battery_round_trip_efficiency

None

100%

false

auto

auto

auto

auto

auto

10 kWh

0%

true

auto

auto

10

auto

auto

20 kWh, Outside

0%

true

outside

auto

20

auto

auto

20 kWh, Garage

0%

true

garage

auto

20

auto

auto

20 kWh, 80% Round Trip Efficiency

0%

true

auto

auto

20

auto

0.8

Bedrooms

Description

The number of bedrooms in the dwelling unit.

Created by

sources/ahs/ahs2017_2019/tsv_maker.py

Source

  • 2017 and 2019 American Housing Survey (AHS) microdata.

  • Building type categorization based on U.S. EIA 2009 Residential Energy Consumption Survey (RECS).

Assumption

  • More than 5 bedrooms are labeled as 5 bedrooms and 0 bedrooms are labeled as 1 bedroom

  • Limit 0-499 sqft dwelling units to only 1 or 2 bedrooms. The geometry measure has a limit of (ffa-120)/70 >= bedrooms.

Arguments

Name

Required

Units

Type

Choices

Description

geometry_unit_num_bedrooms

true

#

Integer

The number of bedrooms in the unit.

geometry_unit_num_bathrooms

false

#

Integer

auto

The number of bathrooms in the unit. If not provided, the OS-HPXML default (see HPXML Building Construction) is used.

Options

From project_national the list of options, option stock saturation, and option arguments for the Bedrooms characteristic.

Option name

Stock saturation

geometry_unit_num_bedrooms

geometry_unit_num_bathrooms

1

13%

1

auto

2

27%

2

auto

3

39%

3

auto

4

17%

4

auto

5

4.7%

5

auto

Building America Climate Zone

Description

The Building America Climate Zone that the sample is located.

Created by

sources/spatial/tsv_maker.py

Source

  • Unit counts are from the American Community Survey 5-yr 2016.

  • Spatial definitions are from U.S. Census 2010.

  • Climate zone data are from ASHRAE 169 2006, IECC 2012, and M.C. Baechler 2015.

Options

From project_national the list of options, option stock saturation, and option arguments for the Building America Climate Zone characteristic.

Option name

Stock saturation

Cold

33%

Hot-Dry

11%

Hot-Humid

18%

Marine

5.2%

Mixed-Dry

0.76%

Mixed-Humid

30%

Subarctic

0.052%

Very Cold

1.1%

CEC Climate Zone

Description

The California Energy Commission Climate Zone that the sample is located.

Created by

sources/spatial/tsv_maker.py

Source

  • Spatial definitions are from the U.S. Census Bureau as of July 1, 2015.

  • Zip code definitions are from the end of Q2 2020

  • The climate zone to zip codes in California is from the California Energy Commission Website.

Assumption

  • CEC Climate zones are defined by Zip Codes.

  • The dependency selected is County and PUMA as zip codes are not modeled in ResStock.

  • The mapping between Census Tracts and Zip Codes are approximate and some discrepancies may exist.

  • If the sample is outside California, the option is set to None.

Options

From project_national the list of options, option stock saturation, and option arguments for the CEC Climate Zone characteristic.

Option name

Stock saturation

1

0.065%

2

0.3%

3

1.2%

4

0.54%

5

0.11%

6

0.87%

7

0.63%

8

1.1%

9

1.6%

10

0.99%

11

0.34%

12

1.3%

13

0.58%

14

0.26%

15

0.24%

16

0.24%

None

90%

Ceiling Fan

Description

Presence and energy usage of ceiling fans at medium speed

Created by

manually created

Source

  • Wilson et al. ‘Building America House Simulation Protocols’ 2014, national average used as saturation

Assumption

  • If the unit is vacant there is no ceiling fan energy

Arguments

Name

Required

Units

Type

Choices

Description

ceiling_fan_present

true

Boolean

true, false

Whether there are any ceiling fans.

ceiling_fan_label_energy_use

false

W

Double

auto

The label average energy use of the ceiling fan(s). If neither Efficiency nor Label Energy Use provided, the OS-HPXML default (see HPXML Ceiling Fans) is used.

ceiling_fan_efficiency

false

CFM/W

Double

auto

The efficiency rating of the ceiling fan(s) at medium speed. Only used if Label Energy Use not provided. If neither Efficiency nor Label Energy Use provided, the OS-HPXML default (see HPXML Ceiling Fans) is used.

ceiling_fan_quantity

false

#

Integer

auto

Total number of ceiling fans. If not provided, the OS-HPXML default (see HPXML Ceiling Fans) is used.

ceiling_fan_cooling_setpoint_temp_offset

false

F

Double

auto

The cooling setpoint temperature offset during months when the ceiling fans are operating. Only applies if ceiling fan quantity is greater than zero. If not provided, the OS-HPXML default (see HPXML Ceiling Fans) is used.

Options

From project_national the list of options, option stock saturation, and option arguments for the Ceiling Fan characteristic.

Option name

Stock saturation

ceiling_fan_present

ceiling_fan_label_energy_use

ceiling_fan_efficiency

ceiling_fan_quantity

ceiling_fan_cooling_setpoint_temp_offset

None

28%

false

0

0

0

0

Standard Efficiency

63%

true

auto

70.4

1

0

Standard Efficiency, No usage

8.7%

false

auto

0

0

0

Census Division

Description

The U.S. Census Division that the sample is located.

Created by

sources/spatial/tsv_maker.py

Source

  • Spatial definitions are from the U.S. Census Bureau as of July 1, 2015.

  • Unit counts are from the American Community Survey 5-yr 2016.

Options

From project_national the list of options, option stock saturation, and option arguments for the Census Division characteristic.

Option name

Stock saturation

East North Central

15%

East South Central

6.2%

Middle Atlantic

13%

Mountain

7.3%

New England

4.8%

Pacific

14%

South Atlantic

20%

West North Central

6.9%

West South Central

12%

Census Division RECS

Description

Census Division as used in RECS 2015 that the sample is located. RECS 2015 splits the Mountain Census Division into north (CO, ID, MT, UT, WY) and south (AZ, NM, NV).

Created by

sources/spatial/tsv_maker.py

Source

  • Spatial definitions are from the U.S. Census Bureau as of July 1, 2015.

  • Unit counts are from the American Community Survey 5-yr 2016.

  • U.S. EIA 2015 Residential Energy Consumption Survey (RECS) codebook.

Options

From project_national the list of options, option stock saturation, and option arguments for the Census Division RECS characteristic.

Option name

Stock saturation

East North Central

15%

East South Central

6.2%

Middle Atlantic

13%

Mountain North

3.5%

Mountain South

3.7%

New England

4.8%

Pacific

14%

South Atlantic

20%

West North Central

6.9%

West South Central

12%

Census Region

Description

The U.S. Census Region that the sample is located.

Created by

sources/spatial/tsv_maker.py

Source

  • Spatial definitions are from the U.S. Census Bureau as of July 1, 2015.

  • Unit counts are from the American Community Survey 5-yr 2016.

Options

From project_national the list of options, option stock saturation, and option arguments for the Census Region characteristic.

Option name

Stock saturation

Midwest

22%

Northeast

18%

South

38%

West

22%

City

Description

The City that the sample is located.

Created by

sources/spatial/tsv_maker.py

Source

  • Spatial definitions are from the U.S. Census Bureau as of July 1, 2015.

  • Cities are defined by Census blocks by their Census Place in the 2010 Census.

  • Unit counts are from the American Community Survey 5-yr 2016.

Assumption

  • 2020 Decennial Redistricting data was used to map tract level unit counts to census blocks.

  • 1,099 cities are tagged in ResStock, but there are over 29,000 Places in the Census data.

  • The threshold for including a Census Place in the City.tsv is 15,000 dwelling units.

  • The value ‘In another census Place’ designates the fraction of dwelling units in a Census Place with fewer total dwelling units than the threshold.

  • The value ‘Not in a census Place’ designates the fraction of dwelling units not in a Census Place according to the 2010 Census.

Arguments

Name

Required

Units

Type

Choices

Description

site_city

false

String

City/municipality of the home address.

Options

From project_national the list of options, option stock saturation, and option arguments for the City characteristic.

Option name

Stock saturation

site_city

AK, Anchorage

0.085%

auto

AL, Auburn

0.019%

auto

AL, Birmingham

0.085%

auto

AL, Decatur

0.018%

auto

AL, Dothan

0.023%

auto

AL, Florence

0.015%

auto

AL, Gadsden

0.013%

auto

AL, Hoover

0.027%

auto

AL, Huntsville

0.068%

auto

AL, Madison

0.014%

auto

AL, Mobile

0.068%

auto

AL, Montgomery

0.069%

auto

AL, Phenix City

0.013%

auto

AL, Tuscaloosa

0.034%

auto

AR, Bentonville

0.013%

auto

AR, Conway

0.02%

auto

AR, Fayetteville

0.028%

auto

AR, Fort Smith

0.03%

auto

AR, Hot Springs

0.014%

auto

AR, Jonesboro

0.023%

auto

AR, Little Rock

0.071%

auto

AR, North Little Rock

0.024%

auto

AR, Pine Bluff

0.016%

auto

AR, Rogers

0.017%

auto

AR, Springdale

0.02%

auto

AZ, Apache Junction

0.017%

auto

AZ, Avondale

0.02%

auto

AZ, Buckeye

0.015%

auto

AZ, Bullhead City

0.018%

auto

AZ, Casa Grande

0.016%

auto

AZ, Casas Adobes

0.023%

auto

AZ, Catalina Foothills

0.02%

auto

AZ, Chandler

0.069%

auto

AZ, Flagstaff

0.02%

auto

AZ, Fortuna Foothills

0.015%

auto

AZ, Gilbert

0.058%

auto

AZ, Glendale

0.068%

auto

AZ, Goodyear

0.021%

auto

AZ, Green Valley

0.013%

auto

AZ, Lake Havasu City

0.025%

auto

AZ, Marana

0.012%

auto

AZ, Maricopa

0.013%

auto

AZ, Mesa

0.15%

auto

AZ, Oro Valley

0.016%

auto

AZ, Peoria

0.048%

auto

AZ, Phoenix

0.45%

auto

AZ, Prescott

0.017%

auto

AZ, Prescott Valley

0.014%

auto

AZ, San Tan Valley

0.024%

auto

AZ, Scottsdale

0.098%

auto

AZ, Sierra Vista

0.015%

auto

AZ, Sun City

0.021%

auto

AZ, Sun City West

0.014%

auto

AZ, Surprise

0.042%

auto

AZ, Tempe

0.056%

auto

AZ, Tucson

0.17%

auto

AZ, Yuma

0.03%

auto

CA, Alameda

0.024%

auto

CA, Alhambra

0.023%

auto

CA, Aliso Viejo

0.015%

auto

CA, Altadena

0.012%

auto

CA, Anaheim

0.078%

auto

CA, Antioch

0.027%

auto

CA, Apple Valley

0.019%

auto

CA, Arcadia

0.015%

auto

CA, Arden-Arcade

0.033%

auto

CA, Bakersfield

0.091%

auto

CA, Baldwin Park

0.014%

auto

CA, Bellflower

0.019%

auto

CA, Berkeley

0.037%

auto

CA, Beverly Hills

0.012%

auto

CA, Brea

0.012%

auto

CA, Brentwood

0.014%

auto

CA, Buena Park

0.018%

auto

CA, Burbank

0.034%

auto

CA, Camarillo

0.019%

auto

CA, Campbell

0.013%

auto

CA, Carlsbad

0.035%

auto

CA, Carmichael

0.021%

auto

CA, Carson

0.019%

auto

CA, Castro Valley

0.017%

auto

CA, Cathedral City

0.017%

auto

CA, Cerritos

0.012%

auto

CA, Chico

0.03%

auto

CA, Chino

0.015%

auto

CA, Chino Hills

0.019%

auto

CA, Chula Vista

0.063%

auto

CA, Citrus Heights

0.026%

auto

CA, Clovis

0.027%

auto

CA, Colton

0.013%

auto

CA, Compton

0.019%

auto

CA, Concord

0.036%

auto

CA, Corona

0.039%

auto

CA, Costa Mesa

0.032%

auto

CA, Covina

0.012%

auto

CA, Culver City

0.013%

auto

CA, Cupertino

0.016%

auto

CA, Cypress

0.012%

auto

CA, Daly City

0.024%

auto

CA, Dana Point

0.013%

auto

CA, Danville

0.012%

auto

CA, Davis

0.019%

auto

CA, Diamond Bar

0.014%

auto

CA, Downey

0.026%

auto

CA, Dublin

0.014%

auto

CA, East Los Angeles

0.025%

auto

CA, El Cajon

0.026%

auto

CA, El Dorado Hills

0.011%

auto

CA, El Monte

0.024%

auto

CA, Elk Grove

0.039%

auto

CA, Encinitas

0.019%

auto

CA, Escondido

0.035%

auto

CA, Fairfield

0.028%

auto

CA, Florence-Graham

0.011%

auto

CA, Florin

0.012%

auto

CA, Folsom

0.02%

auto

CA, Fontana

0.04%

auto

CA, Fountain Valley

0.014%

auto

CA, Fremont

0.057%

auto

CA, Fresno

0.13%

auto

CA, Fullerton

0.036%

auto

CA, Garden Grove

0.036%

auto

CA, Gardena

0.016%

auto

CA, Gilroy

0.012%

auto

CA, Glendale

0.057%

auto

CA, Glendora

0.013%

auto

CA, Hacienda Heights

0.013%

auto

CA, Hanford

0.014%

auto

CA, Hawthorne

0.022%

auto

CA, Hayward

0.036%

auto

CA, Hemet

0.025%

auto

CA, Hesperia

0.021%

auto

CA, Highland

0.013%

auto

CA, Huntington Beach

0.059%

auto

CA, Huntington Park

0.011%

auto

CA, Indio

0.024%

auto

CA, Inglewood

0.029%

auto

CA, Irvine

0.073%

auto

CA, La Habra

0.015%

auto

CA, La Mesa

0.019%

auto

CA, La Quinta

0.018%

auto

CA, Laguna Niguel

0.02%

auto

CA, Lake Elsinore

0.012%

auto

CA, Lake Forest

0.02%

auto

CA, Lakewood

0.021%

auto

CA, Lancaster

0.039%

auto

CA, Lincoln

0.013%

auto

CA, Livermore

0.024%

auto

CA, Lodi

0.018%

auto

CA, Long Beach

0.13%

auto

CA, Los Angeles

1.1%

auto

CA, Lynwood

0.012%

auto

CA, Madera

0.014%

auto

CA, Manhattan Beach

0.012%

auto

CA, Manteca

0.018%

auto

CA, Martinez

0.011%

auto

CA, Menifee

0.023%

auto

CA, Merced

0.02%

auto

CA, Milpitas

0.017%

auto

CA, Mission Viejo

0.026%

auto

CA, Modesto

0.056%

auto

CA, Montebello

0.016%

auto

CA, Monterey Park

0.016%

auto

CA, Moreno Valley

0.041%

auto

CA, Mountain View

0.026%

auto

CA, Murrieta

0.025%

auto

CA, Napa

0.023%

auto

CA, National City

0.013%

auto

CA, Newport Beach

0.033%

auto

CA, North Highlands

0.012%

auto

CA, Norwalk

0.021%

auto

CA, Novato

0.017%

auto

CA, Oakland

0.13%

auto

CA, Oceanside

0.049%

auto

CA, Ontario

0.039%

auto

CA, Orange

0.033%

auto

CA, Oxnard

0.041%

auto

CA, Palm Desert

0.029%

auto

CA, Palm Springs

0.027%

auto

CA, Palmdale

0.035%

auto

CA, Palo Alto

0.021%

auto

CA, Pasadena

0.044%

auto

CA, Perris

0.013%

auto

CA, Petaluma

0.017%

auto

CA, Pico Rivera

0.013%

auto

CA, Pittsburg

0.016%

auto

CA, Placentia

0.013%

auto

CA, Pleasanton

0.021%

auto

CA, Pomona

0.03%

auto

CA, Porterville

0.013%

auto

CA, Poway

0.012%

auto

CA, Rancho Cordova

0.019%

auto

CA, Rancho Cucamonga

0.044%

auto

CA, Rancho Palos Verdes

0.012%

auto

CA, Rancho Santa Margarita

0.013%

auto

CA, Redding

0.029%

auto

CA, Redlands

0.019%

auto

CA, Redondo Beach

0.022%

auto

CA, Redwood City

0.023%

auto

CA, Rialto

0.02%

auto

CA, Richmond

0.029%

auto

CA, Riverside

0.073%

auto

CA, Rocklin

0.017%

auto

CA, Rohnert Park

0.013%

auto

CA, Rosemead

0.012%

auto

CA, Roseville

0.037%

auto

CA, Rowland Heights

0.012%

auto

CA, Sacramento

0.14%

auto

CA, Salinas

0.032%

auto

CA, San Bernardino

0.046%

auto

CA, San Bruno

0.011%

auto

CA, San Buenaventura Ventura

0.032%

auto

CA, San Clemente

0.02%

auto

CA, San Diego

0.39%

auto

CA, San Francisco

0.29%

auto

CA, San Jose

0.24%

auto

CA, San Leandro

0.025%

auto

CA, San Luis Obispo

0.015%

auto

CA, San Marcos

0.022%

auto

CA, San Mateo

0.03%

auto

CA, San Rafael

0.018%

auto

CA, San Ramon

0.019%

auto

CA, Santa Ana

0.058%

auto

CA, Santa Barbara

0.029%

auto

CA, Santa Clara

0.035%

auto

CA, Santa Clarita

0.046%

auto

CA, Santa Cruz

0.018%

auto

CA, Santa Maria

0.022%

auto

CA, Santa Monica

0.038%

auto

CA, Santa Rosa

0.051%

auto

CA, Santee

0.015%

auto

CA, Simi Valley

0.032%

auto

CA, South Gate

0.018%

auto

CA, South Lake Tahoe

0.013%

auto

CA, South San Francisco

0.016%

auto

CA, South Whittier

0.012%

auto

CA, Stockton

0.076%

auto

CA, Sunnyvale

0.043%

auto

CA, Temecula

0.026%

auto

CA, Thousand Oaks

0.035%

auto

CA, Torrance

0.044%

auto

CA, Tracy

0.019%

auto

CA, Tulare

0.015%

auto

CA, Turlock

0.019%

auto

CA, Tustin

0.019%

auto

CA, Union City

0.016%

auto

CA, Upland

0.021%

auto

CA, Vacaville

0.025%

auto

CA, Vallejo

0.034%

auto

CA, Victorville

0.027%

auto

CA, Visalia

0.034%

auto

CA, Vista

0.024%

auto

CA, Walnut Creek

0.024%

auto

CA, West Covina

0.024%

auto

CA, West Hollywood

0.018%

auto

CA, West Sacramento

0.014%

auto

CA, Westminster

0.021%

auto

CA, Whittier

0.022%

auto

CA, Woodland

0.016%

auto

CA, Yorba Linda

0.017%

auto

CA, Yuba City

0.017%

auto

CA, Yucaipa

0.015%

auto

CO, Arvada

0.034%

auto

CO, Aurora

0.099%

auto

CO, Boulder

0.034%

auto

CO, Broomfield

0.019%

auto

CO, Castle Rock

0.015%

auto

CO, Centennial

0.029%

auto

CO, Colorado Springs

0.14%

auto

CO, Commerce City

0.012%

auto

CO, Denver

0.22%

auto

CO, Englewood

0.012%

auto

CO, Fort Collins

0.046%

auto

CO, Grand Junction

0.02%

auto

CO, Greeley

0.027%

auto

CO, Highlands Ranch

0.029%

auto

CO, Lakewood

0.049%

auto

CO, Littleton

0.016%

auto

CO, Longmont

0.027%

auto

CO, Loveland

0.023%

auto

CO, Parker

0.013%

auto

CO, Pueblo

0.036%

auto

CO, Thornton

0.034%

auto

CO, Westminster

0.033%

auto

CT, Bridgeport

0.043%

auto

CT, Bristol

0.02%

auto

CT, Danbury

0.024%

auto

CT, East Hartford

0.016%

auto

CT, Hartford

0.04%

auto

CT, Meriden

0.022%

auto

CT, Middletown

0.016%

auto

CT, Milford City Balance

0.017%

auto

CT, New Britain

0.024%

auto

CT, New Haven

0.042%

auto

CT, Norwalk

0.026%

auto

CT, Norwich

0.014%

auto

CT, Shelton

0.013%

auto

CT, Stamford

0.039%

auto

CT, Stratford

0.016%

auto

CT, Torrington

0.013%

auto

CT, Waterbury

0.035%

auto

CT, West Hartford

0.019%

auto

CT, West Haven

0.017%

auto

DC, Washington

0.23%

auto

DE, Dover

0.011%

auto

DE, Wilmington

0.025%

auto

FL, Alafaya

0.024%

auto

FL, Altamonte Springs

0.017%

auto

FL, Apopka

0.014%

auto

FL, Aventura

0.024%

auto

FL, Boca Raton

0.036%

auto

FL, Bonita Springs

0.025%

auto

FL, Boynton Beach

0.027%

auto

FL, Bradenton

0.02%

auto

FL, Brandon

0.033%

auto

FL, Cape Coral

0.06%

auto

FL, Carrollwood

0.011%

auto

FL, Clearwater

0.044%

auto

FL, Coconut Creek

0.02%

auto

FL, Coral Gables

0.016%

auto

FL, Coral Springs

0.033%

auto

FL, Country Club

0.013%

auto

FL, Dania Beach

0.012%

auto

FL, Davie

0.028%

auto

FL, Daytona Beach

0.027%

auto

FL, Deerfield Beach

0.032%

auto

FL, Delray Beach

0.026%

auto

FL, Deltona

0.025%

auto

FL, Doral

0.015%

auto

FL, Dunedin

0.015%

auto

FL, East Lake

0.011%

auto

FL, Estero

0.015%

auto

FL, Fort Lauderdale

0.071%

auto

FL, Fort Myers

0.028%

auto

FL, Fort Pierce

0.016%

auto

FL, Fountainebleau

0.017%

auto

FL, Four Corners

0.021%

auto

FL, Gainesville

0.044%

auto

FL, Greenacres

0.012%

auto

FL, Hallandale Beach

0.022%

auto

FL, Hialeah

0.056%

auto

FL, Hollywood

0.053%

auto

FL, Homestead

0.017%

auto

FL, Jacksonville

0.28%

auto

FL, Jupiter

0.023%

auto

FL, Kendale Lakes

0.014%

auto

FL, Kendall

0.023%

auto

FL, Kissimmee

0.02%

auto

FL, Lake Worth

0.012%

auto

FL, Lakeland

0.036%

auto

FL, Largo

0.034%

auto

FL, Lauderhill

0.021%

auto

FL, Lehigh Acres

0.028%

auto

FL, Marco Island

0.014%

auto

FL, Margate

0.019%

auto

FL, Melbourne

0.03%

auto

FL, Merritt Island

0.013%

auto

FL, Miami

0.14%

auto

FL, Miami Beach

0.052%

auto

FL, Miami Gardens

0.026%

auto

FL, Miramar

0.032%

auto

FL, Naples

0.014%

auto

FL, New Smyrna Beach

0.013%

auto

FL, North Fort Myers

0.019%

auto

FL, North Miami

0.016%

auto

FL, North Miami Beach

0.012%

auto

FL, North Port

0.022%

auto

FL, Oakland Park

0.014%

auto

FL, Ocala

0.019%

auto

FL, Orlando

0.093%

auto

FL, Ormond Beach

0.014%

auto

FL, Palm Bay

0.033%

auto

FL, Palm Beach Gardens

0.021%

auto

FL, Palm Coast

0.026%

auto

FL, Palm Harbor

0.023%

auto

FL, Panama City

0.013%

auto

FL, Panama City Beach

0.013%

auto

FL, Pembroke Pines

0.048%

auto

FL, Pensacola

0.019%

auto

FL, Pine Hills

0.017%

auto

FL, Pinellas Park

0.018%

auto

FL, Plantation

0.03%

auto

FL, Poinciana

0.017%

auto

FL, Pompano Beach

0.041%

auto

FL, Port Charlotte

0.022%

auto

FL, Port Orange

0.021%

auto

FL, Port St Lucie

0.053%

auto

FL, Riverview

0.023%

auto

FL, Riviera Beach

0.012%

auto

FL, Sanford

0.019%

auto

FL, Sarasota

0.022%

auto

FL, Spring Hill

0.034%

auto

FL, St Cloud

0.012%

auto

FL, St Petersburg

0.096%

auto

FL, Sun City Center

0.011%

auto

FL, Sunny Isles Beach

0.016%

auto

FL, Sunrise

0.028%

auto

FL, Tallahassee

0.064%

auto

FL, Tamarac

0.024%

auto

FL, Tamiami

0.013%

auto

FL, Tampa

0.12%

auto

FL, The Hammocks

0.013%

auto

FL, The Villages

0.035%

auto

FL, Titusville

0.018%

auto

FL, Town N Country

0.025%

auto

FL, University

0.022%

auto

FL, Venice

0.014%

auto

FL, Wellington

0.018%

auto

FL, Wesley Chapel

0.014%

auto

FL, West Palm Beach

0.041%

auto

FL, Weston

0.019%

auto

FL, Winter Haven

0.014%

auto

GA, Albany

0.025%

auto

GA, Alpharetta

0.018%

auto

GA, Athens-Clarke County Unified Government Balance

0.038%

auto

GA, Atlanta

0.17%

auto

GA, Augusta-Richmond County Consolidated Government Balance

0.064%

auto

GA, Columbus

0.063%

auto

GA, Dunwoody

0.017%

auto

GA, East Point

0.014%

auto

GA, Hinesville

0.011%

auto

GA, Johns Creek

0.021%

auto

GA, Mableton

0.011%

auto

GA, Macon

0.032%

auto

GA, Marietta

0.02%

auto

GA, Newnan

0.011%

auto

GA, North Atlanta

0.014%

auto

GA, Rome

0.012%

auto

GA, Roswell

0.027%

auto

GA, Sandy Springs

0.036%

auto

GA, Savannah

0.047%

auto

GA, Smyrna

0.019%

auto

GA, Valdosta

0.018%

auto

GA, Warner Robins

0.023%

auto

HI, East Honolulu

0.014%

auto

HI, Hilo

0.014%

auto

HI, Kailua

0.014%

auto

HI, Urban Honolulu

0.11%

auto

IA, Ames

0.019%

auto

IA, Ankeny

0.016%

auto

IA, Cedar Falls

0.012%

auto

IA, Cedar Rapids

0.044%

auto

IA, Council Bluffs

0.02%

auto

IA, Davenport

0.033%

auto

IA, Des Moines

0.067%

auto

IA, Dubuque

0.019%

auto

IA, Iowa City

0.023%

auto

IA, Marion

0.012%

auto

IA, Sioux City

0.025%

auto

IA, Urbandale

0.012%

auto

IA, Waterloo

0.023%

auto

IA, West Des Moines

0.021%

auto

ID, Boise City

0.068%

auto

ID, Caldwell

0.013%

auto

ID, Coeur Dalene

0.016%

auto

ID, Idaho Falls

0.017%

auto

ID, Meridian

0.023%

auto

ID, Nampa

0.023%

auto

ID, Pocatello

0.017%

auto

ID, Twin Falls

0.014%

auto

IL, Arlington Heights

0.024%

auto

IL, Aurora

0.049%

auto

IL, Belleville

0.016%

auto

IL, Berwyn

0.015%

auto

IL, Bloomington

0.025%

auto

IL, Bolingbrook

0.018%

auto

IL, Buffalo Grove

0.012%

auto

IL, Calumet City

0.012%

auto

IL, Carol Stream

0.011%

auto

IL, Champaign

0.028%

auto

IL, Chicago

0.89%

auto

IL, Cicero

0.018%

auto

IL, Crystal Lake

0.011%

auto

IL, Decatur

0.027%

auto

IL, Dekalb

0.012%

auto

IL, Des Plaines

0.017%

auto

IL, Downers Grove

0.015%

auto

IL, Elgin

0.029%

auto

IL, Elmhurst

0.012%

auto

IL, Evanston

0.024%

auto

IL, Glenview

0.013%

auto

IL, Hoffman Estates

0.014%

auto

IL, Joliet

0.038%

auto

IL, Lombard

0.014%

auto

IL, Moline

0.015%

auto

IL, Mount Prospect

0.016%

auto

IL, Naperville

0.04%

auto

IL, Normal

0.016%

auto

IL, Oak Lawn

0.017%

auto

IL, Oak Park

0.017%

auto

IL, Orland Park

0.017%

auto

IL, Palatine

0.021%

auto

IL, Peoria

0.04%

auto

IL, Quincy

0.014%

auto

IL, Rock Island

0.013%

auto

IL, Rockford

0.05%

auto

IL, Schaumburg

0.024%

auto

IL, Skokie

0.018%

auto

IL, Springfield

0.042%

auto

IL, Tinley Park

0.017%

auto

IL, Urbana

0.013%

auto

IL, Waukegan

0.024%

auto

IL, Wheaton

0.015%

auto

IL, Wheeling

0.012%

auto

In another census Place

31%

auto

IN, Anderson

0.021%

auto

IN, Bloomington

0.025%

auto

IN, Carmel

0.026%

auto

IN, Columbus

0.015%

auto

IN, Elkhart

0.016%

auto

IN, Evansville

0.043%

auto

IN, Fishers

0.023%

auto

IN, Fort Wayne

0.085%

auto

IN, Gary

0.032%

auto

IN, Greenwood

0.017%

auto

IN, Hammond

0.024%

auto

IN, Indianapolis City Balance

0.28%

auto

IN, Jeffersonville

0.015%

auto

IN, Kokomo

0.017%

auto

IN, Lafayette

0.024%

auto

IN, Lawrence

0.015%

auto

IN, Mishawaka

0.018%

auto

IN, Muncie

0.024%

auto

IN, New Albany

0.013%

auto

IN, Noblesville

0.017%

auto

IN, Portage

0.011%

auto

IN, Richmond

0.013%

auto

IN, South Bend

0.035%

auto

IN, Terre Haute

0.019%

auto

KS, Hutchinson

0.014%

auto

KS, Kansas City

0.047%

auto

KS, Lawrence

0.029%

auto

KS, Lenexa

0.016%

auto

KS, Manhattan

0.017%

auto

KS, Olathe

0.036%

auto

KS, Overland Park

0.06%

auto

KS, Salina

0.016%

auto

KS, Shawnee

0.019%

auto

KS, Topeka

0.045%

auto

KS, Wichita

0.13%

auto

KY, Bowling Green

0.02%

auto

KY, Covington

0.015%

auto

KY, Lexington-Fayette

0.1%

auto

KY, Louisville Jefferson County Metro Government Balance

0.21%

auto

KY, Owensboro

0.02%

auto

LA, Alexandria

0.016%

auto

LA, Baton Rouge

0.075%

auto

LA, Bossier City

0.021%

auto

LA, Kenner

0.021%

auto

LA, Lafayette

0.041%

auto

LA, Lake Charles

0.026%

auto

LA, Metairie

0.048%

auto

LA, Monroe

0.015%

auto

LA, New Orleans

0.14%

auto

LA, Shreveport

0.067%

auto

MA, Arlington

0.015%

auto

MA, Attleboro

0.013%

auto

MA, Barnstable Town

0.02%

auto

MA, Beverly

0.013%

auto

MA, Boston

0.21%

auto

MA, Brockton

0.026%

auto

MA, Brookline

0.02%

auto

MA, Cambridge

0.036%

auto

MA, Chicopee

0.018%

auto

MA, Everett

0.012%

auto

MA, Fall River

0.032%

auto

MA, Fitchburg

0.013%

auto

MA, Framingham

0.021%

auto

MA, Haverhill

0.019%

auto

MA, Holyoke

0.012%

auto

MA, Lawrence

0.02%

auto

MA, Leominster

0.013%

auto

MA, Lowell

0.031%

auto

MA, Lynn

0.026%

auto

MA, Malden

0.018%

auto

MA, Marlborough

0.012%

auto

MA, Medford

0.017%

auto

MA, Methuen Town

0.014%

auto

MA, New Bedford

0.032%

auto

MA, Newton

0.024%

auto

MA, Peabody

0.017%

auto

MA, Pittsfield

0.016%

auto

MA, Quincy

0.032%

auto

MA, Revere

0.016%

auto

MA, Salem

0.014%

auto

MA, Somerville

0.025%

auto

MA, Springfield

0.046%

auto

MA, Taunton

0.018%

auto

MA, Waltham

0.019%

auto

MA, Watertown Town

0.012%

auto

MA, Westfield

0.012%

auto

MA, Weymouth Town

0.018%

auto

MA, Woburn

0.012%

auto

MA, Worcester

0.057%

auto

MD, Annapolis

0.013%

auto

MD, Aspen Hill

0.013%

auto

MD, Baltimore

0.22%

auto

MD, Bel Air South

0.014%

auto

MD, Bethesda

0.02%

auto

MD, Bowie

0.015%

auto

MD, Catonsville

0.012%

auto

MD, Columbia

0.031%

auto

MD, Dundalk

0.019%

auto

MD, Ellicott City

0.019%

auto

MD, Essex

0.012%

auto

MD, Frederick

0.022%

auto

MD, Gaithersburg

0.019%

auto

MD, Germantown

0.024%

auto

MD, Glen Burnie

0.022%

auto

MD, Hagerstown

0.014%

auto

MD, North Bethesda

0.016%

auto

MD, Ocean City

0.022%

auto

MD, Odenton

0.012%

auto

MD, Potomac

0.013%

auto

MD, Rockville

0.019%

auto

MD, Severn

0.014%

auto

MD, Silver Spring

0.024%

auto

MD, Towson

0.017%

auto

MD, Waldorf

0.021%

auto

MD, Wheaton

0.012%

auto

MD, Woodlawn

0.013%

auto

ME, Bangor

0.012%

auto

ME, Lewiston

0.013%

auto

ME, Portland

0.025%

auto

MI, Ann Arbor

0.037%

auto

MI, Battle Creek

0.018%

auto

MI, Bay City

0.012%

auto

MI, Dearborn

0.026%

auto

MI, Dearborn Heights

0.016%

auto

MI, Detroit

0.27%

auto

MI, Farmington Hills

0.028%

auto

MI, Flint

0.04%

auto

MI, Grand Rapids

0.06%

auto

MI, Jackson

0.011%

auto

MI, Kalamazoo

0.024%

auto

MI, Kentwood

0.016%

auto

MI, Lansing

0.041%

auto

MI, Lincoln Park

0.012%

auto

MI, Livonia

0.029%

auto

MI, Midland

0.014%

auto

MI, Muskegon

0.012%

auto

MI, Novi

0.018%

auto

MI, Pontiac

0.02%

auto

MI, Portage

0.015%

auto

MI, Rochester Hills

0.022%

auto

MI, Roseville

0.016%

auto

MI, Royal Oak

0.023%

auto

MI, Saginaw

0.018%

auto

MI, Southfield

0.027%

auto

MI, St Clair Shores

0.021%

auto

MI, Sterling Heights

0.039%

auto

MI, Taylor

0.019%

auto

MI, Troy

0.024%

auto

MI, Warren

0.044%

auto

MI, Westland

0.027%

auto

MI, Wyoming

0.022%

auto

MN, Apple Valley

0.015%

auto

MN, Blaine

0.017%

auto

MN, Bloomington

0.028%

auto

MN, Brooklyn Park

0.022%

auto

MN, Burnsville

0.019%

auto

MN, Coon Rapids

0.018%

auto

MN, Duluth

0.029%

auto

MN, Eagan

0.02%

auto

MN, Eden Prairie

0.019%

auto

MN, Edina

0.017%

auto

MN, Lakeville

0.016%

auto

MN, Mankato

0.013%

auto

MN, Maple Grove

0.019%

auto

MN, Maplewood

0.012%

auto

MN, Minneapolis

0.14%

auto

MN, Minnetonka

0.018%

auto

MN, Moorhead

0.012%

auto

MN, Plymouth

0.024%

auto

MN, Richfield

0.012%

auto

MN, Rochester

0.036%

auto

MN, Roseville

0.012%

auto

MN, St Cloud

0.02%

auto

MN, St Louis Park

0.018%

auto

MN, St Paul

0.089%

auto

MN, Woodbury

0.019%

auto

MO, Blue Springs

0.015%

auto

MO, Cape Girardeau

0.013%

auto

MO, Chesterfield

0.015%

auto

MO, Columbia

0.038%

auto

MO, Florissant

0.017%

auto

MO, Independence

0.04%

auto

MO, Jefferson City

0.014%

auto

MO, Joplin

0.018%

auto

MO, Kansas City

0.17%

auto

MO, Lees Summit

0.027%

auto

MO, Ofallon

0.024%

auto

MO, Springfield

0.06%

auto

MO, St Charles

0.022%

auto

MO, St Joseph

0.025%

auto

MO, St Louis

0.13%

auto

MO, St Peters

0.017%

auto

MO, University City

0.013%

auto

MS, Biloxi

0.016%

auto

MS, Gulfport

0.025%

auto

MS, Hattiesburg

0.016%

auto

MS, Jackson

0.056%

auto

MS, Meridian

0.014%

auto

MS, Southaven

0.015%

auto

MS, Tupelo

0.012%

auto

MT, Billings

0.036%

auto

MT, Bozeman

0.014%

auto

MT, Butte-Silver Bow Balance

0.012%

auto

MT, Great Falls

0.02%

auto

MT, Missoula

0.024%

auto

NC, Asheville

0.031%

auto

NC, Burlington

0.017%

auto

NC, Cary

0.045%

auto

NC, Chapel Hill

0.016%

auto

NC, Charlotte

0.25%

auto

NC, Concord

0.025%

auto

NC, Durham

0.082%

auto

NC, Fayetteville

0.069%

auto

NC, Gastonia

0.024%

auto

NC, Goldsboro

0.012%

auto

NC, Greensboro

0.096%

auto

NC, Greenville

0.031%

auto

NC, Hickory

0.014%

auto

NC, High Point

0.035%

auto

NC, Huntersville

0.015%

auto

NC, Jacksonville

0.018%

auto

NC, Kannapolis

0.015%

auto

NC, Raleigh

0.14%

auto

NC, Rocky Mount

0.02%

auto

NC, Wilmington

0.042%

auto

NC, Wilson

0.016%

auto

NC, Winston-Salem

0.079%

auto

ND, Bismarck

0.023%

auto

ND, Fargo

0.041%

auto

ND, Grand Forks

0.019%

auto

ND, Minot

0.016%

auto

NE, Bellevue

0.015%

auto

NE, Grand Island

0.015%

auto

NE, Lincoln

0.085%

auto

NE, Omaha

0.13%

auto

NH, Concord

0.014%

auto

NH, Manchester

0.037%

auto

NH, Nashua

0.027%

auto

NJ, Atlantic City

0.015%

auto

NJ, Bayonne

0.021%

auto

NJ, Camden

0.023%

auto

NJ, Clifton

0.024%

auto

NJ, East Orange

0.022%

auto

NJ, Elizabeth

0.033%

auto

NJ, Fort Lee

0.014%

auto

NJ, Hackensack

0.015%

auto

NJ, Hoboken

0.02%

auto

NJ, Jersey City

0.083%

auto

NJ, Linden

0.012%

auto

NJ, New Brunswick

0.012%

auto

NJ, Newark

0.083%

auto

NJ, Ocean City

0.015%

auto

NJ, Passaic

0.016%

auto

NJ, Paterson

0.037%

auto

NJ, Perth Amboy

0.012%

auto

NJ, Plainfield

0.012%

auto

NJ, Sayreville

0.013%

auto

NJ, Toms River

0.027%

auto

NJ, Trenton

0.026%

auto

NJ, Union City

0.02%

auto

NJ, Vineland

0.017%

auto

NJ, West New York

0.015%

auto

NM, Albuquerque

0.18%

auto

NM, Clovis

0.012%

auto

NM, Farmington

0.013%

auto

NM, Las Cruces

0.034%

auto

NM, Rio Rancho

0.026%

auto

NM, Roswell

0.015%

auto

NM, Santa Fe

0.028%

auto

NM, South Valley

0.011%

auto

Not in a census Place

27%

auto

NV, Carson City

0.017%

auto

NV, Enterprise

0.04%

auto

NV, Henderson

0.09%

auto

NV, Las Vegas

0.19%

auto

NV, North Las Vegas

0.058%

auto

NV, Pahrump

0.013%

auto

NV, Paradise

0.084%

auto

NV, Reno

0.077%

auto

NV, Sparks

0.029%

auto

NV, Spring Valley

0.063%

auto

NV, Sunrise Manor

0.053%

auto

NV, Whitney

0.012%

auto

NY, Albany

0.035%

auto

NY, Binghamton

0.018%

auto

NY, Brighton

0.012%

auto

NY, Buffalo

0.098%

auto

NY, Cheektowaga

0.027%

auto

NY, Coram

0.012%

auto

NY, Hempstead

0.013%

auto

NY, Irondequoit

0.018%

auto

NY, Levittown

0.012%

auto

NY, Long Beach

0.012%

auto

NY, Mount Vernon

0.02%

auto

NY, New Rochelle

0.022%

auto

NY, New York

2.6%

auto

NY, Niagara Falls

0.019%

auto

NY, Rochester

0.073%

auto

NY, Rome

0.011%

auto

NY, Schenectady

0.024%

auto

NY, Syracuse

0.049%

auto

NY, Tonawanda

0.026%

auto

NY, Troy

0.017%

auto

NY, Utica

0.02%

auto

NY, West Seneca

0.015%

auto

NY, White Plains

0.017%

auto

NY, Yonkers

0.061%

auto

OH, Akron

0.073%

auto

OH, Beavercreek

0.014%

auto

OH, Boardman

0.012%

auto

OH, Canton

0.027%

auto

OH, Cincinnati

0.12%

auto

OH, Cleveland

0.16%

auto

OH, Cleveland Heights

0.016%

auto

OH, Columbus

0.29%

auto

OH, Cuyahoga Falls

0.018%

auto

OH, Dayton

0.055%

auto

OH, Delaware

0.011%

auto

OH, Dublin

0.012%

auto

OH, Elyria

0.019%

auto

OH, Euclid

0.02%

auto

OH, Fairborn

0.012%

auto

OH, Fairfield

0.014%

auto

OH, Findlay

0.014%

auto

OH, Grove City

0.012%

auto

OH, Hamilton

0.021%

auto

OH, Huber Heights

0.012%

auto

OH, Kettering

0.02%

auto

OH, Lakewood

0.02%

auto

OH, Lancaster

0.013%

auto

OH, Lima

0.012%

auto

OH, Lorain

0.022%

auto

OH, Mansfield

0.016%

auto

OH, Marion

0.011%

auto

OH, Mentor

0.015%

auto

OH, Middletown

0.017%

auto

OH, Newark

0.016%

auto

OH, Parma

0.027%

auto

OH, Springfield

0.021%

auto

OH, Stow

0.011%

auto

OH, Strongsville

0.014%

auto

OH, Toledo

0.1%

auto

OH, Warren

0.015%

auto

OH, Youngstown

0.025%

auto

OK, Bartlesville

0.013%

auto

OK, Broken Arrow

0.03%

auto

OK, Edmond

0.026%

auto

OK, Enid

0.016%

auto

OK, Lawton

0.03%

auto

OK, Midwest City

0.019%

auto

OK, Moore

0.017%

auto

OK, Muskogee

0.013%

auto

OK, Norman

0.038%

auto

OK, Oklahoma City

0.2%

auto

OK, Stillwater

0.016%

auto

OK, Tulsa

0.14%

auto

OR, Albany

0.016%

auto

OR, Aloha

0.013%

auto

OR, Beaverton

0.03%

auto

OR, Bend

0.028%

auto

OR, Corvallis

0.018%

auto

OR, Eugene

0.053%

auto

OR, Grants Pass

0.011%

auto

OR, Gresham

0.031%

auto

OR, Hillsboro

0.029%

auto

OR, Lake Oswego

0.013%

auto

OR, Medford

0.025%

auto

OR, Portland

0.2%

auto

OR, Salem

0.047%

auto

OR, Springfield

0.019%

auto

OR, Tigard

0.015%

auto

PA, Allentown

0.034%

auto

PA, Altoona

0.015%

auto

PA, Bethlehem

0.023%

auto

PA, Erie

0.034%

auto

PA, Harrisburg

0.018%

auto

PA, Lancaster

0.017%

auto

PA, Levittown

0.014%

auto

PA, Philadelphia

0.5%

auto

PA, Pittsburgh

0.11%

auto

PA, Reading

0.025%

auto

PA, Scranton

0.025%

auto

PA, Wilkes-Barre

0.014%

auto

PA, York

0.014%

auto

RI, Cranston

0.024%

auto

RI, East Providence

0.016%

auto

RI, Pawtucket

0.023%

auto

RI, Providence

0.053%

auto

RI, Warwick

0.028%

auto

RI, Woonsocket

0.015%

auto

SC, Charleston

0.047%

auto

SC, Columbia

0.04%

auto

SC, Florence

0.013%

auto

SC, Goose Creek

0.011%

auto

SC, Greenville

0.023%

auto

SC, Hilton Head Island

0.025%

auto

SC, Mount Pleasant

0.024%

auto

SC, Myrtle Beach

0.019%

auto

SC, North Charleston

0.034%

auto

SC, North Myrtle Beach

0.021%

auto

SC, Rock Hill

0.022%

auto

SC, Spartanburg

0.013%

auto

SC, Summerville

0.015%

auto

SC, Sumter

0.014%

auto

SD, Rapid City

0.023%

auto

SD, Sioux Falls

0.053%

auto

TN, Bartlett

0.015%

auto

TN, Chattanooga

0.06%

auto

TN, Clarksville

0.044%

auto

TN, Cleveland

0.014%

auto

TN, Collierville

0.012%

auto

TN, Columbia

0.012%

auto

TN, Franklin

0.022%

auto

TN, Germantown

0.012%

auto

TN, Hendersonville

0.016%

auto

TN, Jackson

0.022%

auto

TN, Johnson City

0.024%

auto

TN, Kingsport

0.018%

auto

TN, Knoxville

0.067%

auto

TN, Memphis

0.22%

auto

TN, Murfreesboro

0.037%

auto

TN, Nashville-Davidson Metropolitan Government Balance

0.21%

auto

TN, Smyrna

0.013%

auto

TX, Abilene

0.036%

auto

TX, Allen

0.023%

auto

TX, Amarillo

0.062%

auto

TX, Arlington

0.11%

auto

TX, Atascocita

0.018%

auto

TX, Austin

0.28%

auto

TX, Baytown

0.022%

auto

TX, Beaumont

0.039%

auto

TX, Bedford

0.017%

auto

TX, Brownsville

0.042%

auto

TX, Bryan

0.024%

auto

TX, Burleson

0.012%

auto

TX, Carrollton

0.036%

auto

TX, Cedar Hill

0.012%

auto

TX, Cedar Park

0.015%

auto

TX, College Station

0.032%

auto

TX, Conroe

0.019%

auto

TX, Coppell

0.012%

auto

TX, Corpus Christi

0.096%

auto

TX, Dallas

0.41%

auto

TX, Denton

0.035%

auto

TX, Desoto

0.015%

auto

TX, Edinburg

0.02%

auto

TX, El Paso

0.18%

auto

TX, Euless

0.017%

auto

TX, Flower Mound

0.018%

auto

TX, Fort Worth

0.23%

auto

TX, Frisco

0.037%

auto

TX, Galveston

0.024%

auto

TX, Garland

0.06%

auto

TX, Georgetown

0.016%

auto

TX, Grand Prairie

0.048%

auto

TX, Grapevine

0.015%

auto

TX, Haltom City

0.012%

auto

TX, Harlingen

0.019%

auto

TX, Houston

0.69%

auto

TX, Hurst

0.012%

auto

TX, Irving

0.067%

auto

TX, Keller

0.011%

auto

TX, Killeen

0.044%

auto

TX, Laredo

0.055%

auto

TX, League City

0.027%

auto

TX, Lewisville

0.031%

auto

TX, Longview

0.025%

auto

TX, Lubbock

0.077%

auto

TX, Lufkin

0.011%

auto

TX, Mansfield

0.017%

auto

TX, Mcallen

0.036%

auto

TX, Mckinney

0.041%

auto

TX, Mesquite

0.038%

auto

TX, Midland

0.035%

auto

TX, Mission

0.022%

auto

TX, Missouri City

0.018%

auto

TX, New Braunfels

0.02%

auto

TX, North Richland Hills

0.02%

auto

TX, Odessa

0.032%

auto

TX, Pasadena

0.04%

auto

TX, Pearland

0.028%

auto

TX, Pflugerville

0.014%

auto

TX, Pharr

0.018%

auto

TX, Plano

0.081%

auto

TX, Port Arthur

0.018%

auto

TX, Richardson

0.032%

auto

TX, Round Rock

0.027%

auto

TX, Rowlett

0.015%

auto

TX, San Angelo

0.03%

auto

TX, San Antonio

0.4%

auto

TX, San Marcos

0.018%

auto

TX, Sherman

0.012%

auto

TX, Spring

0.015%

auto

TX, Sugar Land

0.021%

auto

TX, Temple

0.023%

auto

TX, Texarkana

0.012%

auto

TX, Texas City

0.015%

auto

TX, The Colony

0.012%

auto

TX, The Woodlands

0.031%

auto

TX, Tyler

0.032%

auto

TX, Victoria

0.02%

auto

TX, Waco

0.04%

auto

TX, Wichita Falls

0.032%

auto

TX, Wylie

0.011%

auto

UT, Layton

0.018%

auto

UT, Lehi

0.011%

auto

UT, Logan

0.013%

auto

UT, Millcreek

0.02%

auto

UT, Murray

0.014%

auto

UT, Ogden

0.024%

auto

UT, Orem

0.02%

auto

UT, Provo

0.026%

auto

UT, Salt Lake City

0.061%

auto

UT, Sandy

0.023%

auto

UT, South Jordan

0.015%

auto

UT, St George

0.025%

auto

UT, Taylorsville

0.015%

auto

UT, West Jordan

0.025%

auto

UT, West Valley City

0.029%

auto

VA, Alexandria

0.056%

auto

VA, Arlington

0.083%

auto

VA, Ashburn

0.013%

auto

VA, Blacksburg

0.011%

auto

VA, Centreville

0.019%

auto

VA, Charlottesville

0.015%

auto

VA, Chesapeake

0.066%

auto

VA, Dale City

0.016%

auto

VA, Danville

0.017%

auto

VA, Hampton

0.045%

auto

VA, Harrisonburg

0.013%

auto

VA, Lake Ridge

0.012%

auto

VA, Leesburg

0.013%

auto

VA, Lynchburg

0.024%

auto

VA, Mclean

0.013%

auto

VA, Mechanicsville

0.011%

auto

VA, Newport News

0.058%

auto

VA, Norfolk

0.072%

auto

VA, Petersburg

0.012%

auto

VA, Portsmouth

0.031%

auto

VA, Reston

0.02%

auto

VA, Richmond

0.075%

auto

VA, Roanoke

0.035%

auto

VA, Suffolk

0.026%

auto

VA, Tuckahoe

0.014%

auto

VA, Virginia Beach

0.14%

auto

VT, Burlington

0.012%

auto

WA, Auburn

0.022%

auto

WA, Bellevue

0.042%

auto

WA, Bellingham

0.028%

auto

WA, Bremerton

0.013%

auto

WA, Edmonds

0.014%

auto

WA, Everett

0.034%

auto

WA, Federal Way

0.027%

auto

WA, Kennewick

0.022%

auto

WA, Kent

0.027%

auto

WA, Kirkland

0.018%

auto

WA, Lacey

0.015%

auto

WA, Lakewood

0.02%

auto

WA, Longview

0.012%

auto

WA, Marysville

0.018%

auto

WA, Olympia

0.017%

auto

WA, Pasco

0.015%

auto

WA, Puyallup

0.012%

auto

WA, Redmond

0.019%

auto

WA, Renton

0.03%

auto

WA, Richland

0.016%

auto

WA, Sammamish

0.012%

auto

WA, Seattle

0.24%

auto

WA, Shoreline

0.017%

auto

WA, South Hill

0.015%

auto

WA, Spokane

0.072%

auto

WA, Spokane Valley

0.03%

auto

WA, Tacoma

0.065%

auto

WA, Vancouver

0.052%

auto

WA, Yakima

0.027%

auto

WI, Appleton

0.022%

auto

WI, Beloit

0.011%

auto

WI, Eau Claire

0.022%

auto

WI, Fond Du Lac

0.014%

auto

WI, Green Bay

0.034%

auto

WI, Greenfield

0.013%

auto

WI, Janesville

0.021%

auto

WI, Kenosha

0.03%

auto

WI, La Crosse

0.017%

auto

WI, Madison

0.083%

auto

WI, Manitowoc

0.012%

auto

WI, Menomonee Falls

0.011%

auto

WI, Milwaukee

0.19%

auto

WI, New Berlin

0.013%

auto

WI, Oshkosh

0.021%

auto

WI, Racine

0.025%

auto

WI, Sheboygan

0.017%

auto

WI, Waukesha

0.023%

auto

WI, Wausau

0.014%

auto

WI, Wauwatosa

0.016%

auto

WI, West Allis

0.022%

auto

WV, Charleston

0.019%

auto

WV, Huntington

0.019%

auto

WV, Parkersburg

0.012%

auto

WY, Casper

0.019%

auto

WY, Cheyenne

0.021%

auto

Clothes Dryer

Description

The presence, rated efficiency, and fuel type of the clothes dryer in a dwelling unit.

Created by

sources/recs/recs2020/tsv_maker.py

Source

  • U.S. EIA 2020 Residential Energy Consumption Survey (RECS) microdata.

Assumption

  • Clothes dryer option is None if clothes washer not presentDue to low sample count, the tsv is constructed by downscaling a dwelling unit sub-tsv with a household sub-tsv. The sub-tsvs have the following dependencies:

  • Dwelling unit sub-tsv :deps=[‘Geometry Building Type RECS’, ‘State’, ‘Heating Fuel’, ‘Clothes Washer Presence’] with the following fallback coarsening order

    • [1] State coarsened to Census Division RECS without AK, HI

    • [2] Heating Fuel coarsened to Other Fuel, Wood and Propane combined

    • [3] Heating Fuel coarsened to Fuel Oil, Other Fuel, Wood and Propane combined

    • [4] Geometry Building Type RECS coarsened to SF/MF/MH

    • [5] Geometry Building Type RECS coarsened to SF and MH/MF

    • [6] State coarsened to Census Division RECS

    • [7] State coarsened to Census Region

    • [8] State coarsened to National

  • Household sub-tsv : deps=[‘Geometry Building Type RECS’, ‘Tenure’, ‘Federal Poverty Level’] with the following fallback coarsening order

    • [1] State coarsened to Census Division RECS without AK, HI

    • [2] Geometry Building Type RECS coarsened to SF/MF/MH

    • [3] Geometry Building Type RECS coarsened to SF and MH/MF

    • [4] Federal Poverty Level coarsened every 100 percent

    • [5] Federal Poverty Level coarsened every 200 percent

    • [6] State coarsened to Census Division RECS

    • [7] State coarsened to Census Region

    • [8] State coarsened to National

  • In combining the dwelling unit sub-tsv and household sub-tsv, the conditional relationships are ignored across ([‘Heating Fuel’,’Clothes Washer Presence’], [‘Tenure’, ‘Federal Poverty Level’]).

Arguments

Name

Required

Units

Type

Choices

Description

clothes_dryer_present

true

Boolean

true, false

Whether there is a clothes dryer present.

clothes_dryer_location

false

Choice

auto, conditioned space, basement - conditioned, basement - unconditioned, garage, other housing unit, other heated space, other multifamily buffer space, other non-freezing space

The space type for the clothes dryer location. If not provided, the OS-HPXML default (see HPXML Clothes Dryer) is used.

clothes_dryer_fuel_type

true

Choice

electricity, natural gas, fuel oil, propane, wood, coal

Type of fuel used by the clothes dryer.

clothes_dryer_drying_method

false

Choice

auto, conventional, condensing, heat pump, other

The method of drying used by the clothes dryer. If not provided, the OS-HPXML default (see HPXML Clothes Dryer) is used.

clothes_dryer_efficiency_type

true

Choice

EnergyFactor, CombinedEnergyFactor

The efficiency type of the clothes dryer.

clothes_dryer_efficiency

false

lb/kWh

Double

auto

The efficiency of the clothes dryer. If not provided, the OS-HPXML default (see HPXML Clothes Dryer) is used.

Options

From project_national the list of options, option stock saturation, and option arguments for the Clothes Dryer characteristic.

Option name

Stock saturation

clothes_dryer_present

clothes_dryer_location

clothes_dryer_fuel_type

clothes_dryer_drying_method

clothes_dryer_efficiency_type

clothes_dryer_efficiency

Electric

67%

true

auto

electricity

auto

CombinedEnergyFactor

2.70

Gas

14%

true

auto

natural gas

auto

CombinedEnergyFactor

2.39

None

18%

false

auto

natural gas

auto

CombinedEnergyFactor

2.70

Propane

1.1%

true

auto

propane

auto

CombinedEnergyFactor

2.39

Void

0%

Clothes Dryer Usage Level

Description

Clothes dryer energy usage level multiplier.

Created by

sources/other/tsv_maker.py

Source

  • n/a

Assumption

  • Engineering judgement

Arguments

Name

Required

Units

Type

Choices

Description

clothes_dryer_usage_multiplier

false

Double

auto

Multiplier on the clothes dryer energy usage that can reflect, e.g., high/low usage occupants. If not provided, the OS-HPXML default (see HPXML Clothes Dryer) is used.

Options

From project_national the list of options, option stock saturation, and option arguments for the Clothes Dryer Usage Level characteristic.

Option name

Stock saturation

clothes_dryer_usage_multiplier

80% Usage

25%

0.8

100% Usage

50%

1.0

120% Usage

25%

1.2

Clothes Washer

Description

Presence and rated efficiency of the clothes washer.

Created by

sources/recs/recs2020/tsv_maker.py

Source

  • U.S. EIA 2020 Residential Energy Consumption Survey (RECS) microdata.

Assumption

  • The 2020 recs survey does not contain EnergyStar rating of clothes washers.Energystar efficiency distributions with [Geometry Building Type,Federal Poverty Level, Tenure] as dependencies are imported from RECS 2009Due to low sample count, the tsv is constructed by downscaling a dwelling unit sub-tsv with a household sub-tsv. The sub-tsvs have the following dependencies:

  • Dwelling unit sub-tsv : deps=[‘Geometry Building Type RECS’, ‘State’,’Clothes Washer Presence’, ‘Vintage’] with the following fallback coarsening order

    • [1] Geometry Building Type RECS coarsened to SF/MF/MH

    • [2] Geometry Building Type RECS coarsened to SF and MH/MF

    • [3] Vintage coarsened to every 20 years before 2000 and every 10 years subsequently

    • [4] Vintage homes built before 1960 coarsened to pre1960

    • [5] Vintage homes built after 2000 coarsened to 2000-20

  • Household sub-tsv : deps=[‘Geometry Building Type RECS’, ‘State’ ‘Tenure’, ‘Federal Poverty Level’] with the following fallback coarsening order

    • [1] Geometry Building Type RECS coarsened to SF/MF/MH

    • [2] Geometry Building Type RECS coarsened to SF and MH/MF

    • [3] Federal Poverty Level coarsened every 100 percent

    • [4] Federal Poverty Level coarsened every 200 percent

  • In combining the dwelling unit sub-tsv and household sub-tsv, the conditional relationships are ignored across ([‘Clothes Washer Presence’, ‘Vintage’], [‘Tenure’, ‘Federal Poverty Level’]).

Arguments

Name

Required

Units

Type

Choices

Description

clothes_washer_location

false

Choice

auto, conditioned space, basement - conditioned, basement - unconditioned, garage, other housing unit, other heated space, other multifamily buffer space, other non-freezing space

The space type for the clothes washer location. If not provided, the OS-HPXML default (see HPXML Clothes Washer) is used.

clothes_washer_efficiency_type

true

Choice

ModifiedEnergyFactor, IntegratedModifiedEnergyFactor

The efficiency type of the clothes washer.

clothes_washer_efficiency

false

ft^3/kWh-cyc

Double

auto

The efficiency of the clothes washer. If not provided, the OS-HPXML default (see HPXML Clothes Washer) is used.

clothes_washer_rated_annual_kwh

false

kWh/yr

Double

auto

The annual energy consumed by the clothes washer, as rated, obtained from the EnergyGuide label. This includes both the appliance electricity consumption and the energy required for water heating. If not provided, the OS-HPXML default (see HPXML Clothes Washer) is used.

clothes_washer_label_electric_rate

false

$/kWh

Double

auto

The annual energy consumed by the clothes washer, as rated, obtained from the EnergyGuide label. This includes both the appliance electricity consumption and the energy required for water heating. If not provided, the OS-HPXML default (see HPXML Clothes Washer) is used.

clothes_washer_label_gas_rate

false

$/therm

Double

auto

The annual energy consumed by the clothes washer, as rated, obtained from the EnergyGuide label. This includes both the appliance electricity consumption and the energy required for water heating. If not provided, the OS-HPXML default (see HPXML Clothes Washer) is used.

clothes_washer_label_annual_gas_cost

false

$

Double

auto

The annual cost of using the system under test conditions. Input is obtained from the EnergyGuide label. If not provided, the OS-HPXML default (see HPXML Clothes Washer) is used.

clothes_washer_label_usage

false

cyc/wk

Double

auto

The clothes washer loads per week. If not provided, the OS-HPXML default (see HPXML Clothes Washer) is used.

clothes_washer_capacity

false

ft^3

Double

auto

Volume of the washer drum. Obtained from the EnergyStar website or the manufacturer’s literature. If not provided, the OS-HPXML default (see HPXML Clothes Washer) is used.

Options

From project_national the list of options, option stock saturation, and option arguments for the Clothes Washer characteristic.

Option name

Stock saturation

clothes_washer_location

clothes_washer_efficiency_type

clothes_washer_efficiency

clothes_washer_rated_annual_kwh

clothes_washer_label_electric_rate

clothes_washer_label_gas_rate

clothes_washer_label_annual_gas_cost

clothes_washer_label_usage

clothes_washer_capacity

EnergyStar

34%

auto

IntegratedModifiedEnergyFactor

2.07

123

0.1065

1.218

9

7.538462

3.68

None

16%

auto

IntegratedModifiedEnergyFactor

0

0

0

0

0

0

0

Standard

50%

auto

IntegratedModifiedEnergyFactor

0.95

387

0.1065

1.218

24

7.538462

3.5

Void

0%

Clothes Washer Presence

Description

The presence of a clothes washer in the dwelling unit.

Created by

sources/recs/recs2020/tsv_maker.py

Source

  • U.S. EIA 2020 Residential Energy Consumption Survey (RECS) microdata.

Assumption

  • Due to low sample count, the tsv is constructed by downscaling a dwelling unit sub-tsv with a household sub-tsv. The sub-tsvs have the following dependencies:

  • Dwelling unit sub-tsv : deps=[‘Geometry Building Type RECS’, ‘State’, ‘Heating Fuel’, ‘Vintage’] with the following fallback coarsening order

    • [1] State coarsened to Census Division RECS with AK/HI separate

    • [2] Geometry Building Type RECS coarsened to SF/MF/MH

    • [3] Geometry Building Type RECS coarsened to SF and MH/MF

    • [4] Vintage coarsened to every 20 years before 2000 and every 10 years subsequently

    • [5] Vintage homes built before 1960 coarsened to pre1960

    • [6] Vintage homes built after 2000 coarsened to 2000-20

    • [7] Census Division RECS with AK/HI separate coarsened to Census Division RECS

    • [8] Census Division RECS to Census Region

    • [9] Census Region to National

  • Household sub-tsv : deps=[‘Geometry Building Type RECS’, ‘State’ ‘Tenure’, ‘Federal Poverty Level’] with the following fallback coarsening order

    • [1] State coarsened to Census Division RECS with AK/HI separate

    • [2] Geometry Building Type RECS coarsened to SF/MF/MH

    • [3] Geometry Building Type RECS coarsened to SF and MH/MF

    • [4] Federal Poverty Level coarsened every 100 percent

    • [5] Federal Poverty Level coarsened every 200 percent

    • [6] Census Division RECS with AK/HI separate coarsened to Census Division RECS

    • [7] Census Division RECS to Census Region

    • [8] Census Region to National

  • In combining the dwelling unit sub-tsv and household sub-tsv, the conditional relationships are ignored across ([‘Geometry Building Type RECS’, ‘Vintage’], [‘Tenure’, ‘Federal Poverty Level’]).

Arguments

Name

Required

Units

Type

Choices

Description

clothes_washer_present

true

Boolean

true, false

Whether there is a clothes washer present.

Options

From project_national the list of options, option stock saturation, and option arguments for the Clothes Washer Presence characteristic.

Option name

Stock saturation

clothes_washer_present

None

16%

false

Yes

84%

true

Void

0%

Clothes Washer Usage Level

Description

Clothes washer energy usage level multiplier.

Created by

sources/other/tsv_maker.py

Source

  • n/a

Assumption

  • Engineering judgement

Arguments

Name

Required

Units

Type

Choices

Description

clothes_washer_usage_multiplier

false

Double

auto

Multiplier on the clothes washer energy and hot water usage that can reflect, e.g., high/low usage occupants. If not provided, the OS-HPXML default (see HPXML Clothes Washer) is used.

Options

From project_national the list of options, option stock saturation, and option arguments for the Clothes Washer Usage Level characteristic.

Option name

Stock saturation

clothes_washer_usage_multiplier

80% Usage

25%

0.8

100% Usage

50%

1.0

120% Usage

25%

1.2

Cooking Range

Description

Presence and fuel type of the cooking range.

Created by

sources/recs/recs2020/tsv_maker.py

Source

  • U.S. EIA 2020 Residential Energy Consumption Survey (RECS) microdata.

Assumption

  • For Dual Fuel Range the distribution is split equally between Electric and Natural GasDue to low sample count, the tsv is constructed by downscaling a dwelling unit sub-tsv with a household sub-tsv. The sub-tsvs have the following dependencies:

  • Dwelling unit sub-tsv : deps=[‘Geometry Building Type RECS’, ‘State’, ‘Heating Fuel’, ‘Vintage’] with the following fallback coarsening order

    • [1] State coarsened to Census Division RECS with AK/HI separate

    • [2] Heating Fuel coarsened to Other Fuel, Wood and Propane combined

    • [3] Heating Fuel coarsened to Fuel Oil, Other Fuel, Wood and Propane combined

    • [4] Geometry Building Type RECS coarsened to SF/MF/MH

    • [5] Geometry Building Type RECS coarsened to SF and MH/MF

    • [6] Vintage coarsened to every 20 years before 2000 and every 10 years subsequently

    • [7] Vintage homes built before 1960 coarsened to pre1960

    • [8] Vintage homes built after 2000 coarsened to 2000-20

    • [9] Census Division RECS with AK/HI separate coarsened to Census Division RECS

    • [10] Census Division RECS to Census Region

    • [11] Census Region to National

  • Household sub-tsv : deps=[‘Geometry Building Type RECS’, ‘State’ ‘Tenure’, ‘Federal Poverty Level’] with the following fallback coarsening order

    • [1] State coarsened to Census Division RECS with AK/HI separate

    • [2] Geometry Building Type RECS coarsened to SF/MF/MH

    • [3] Geometry Building Type RECS coarsened to SF and MH/MF

    • [4] Federal Poverty Level coarsened every 100 percent

    • [5] Federal Poverty Level coarsened every 200 percent

    • [6] Census Division RECS with AK/HI separate coarsened to Census Division RECS

    • [7] Census Division RECS to Census Region

    • [8] Census Region to National

  • In combining the dwelling unit sub-tsv and household sub-tsv, the conditional relationships are ignored across ([‘Heating Fuel’, ‘Vintage’], [‘Tenure’, ‘Federal Poverty Level’]).

Arguments

Name

Required

Units

Type

Choices

Description

cooking_range_oven_present

true

Boolean

true, false

Whether there is a cooking range/oven present.

cooking_range_oven_location

false

Choice

auto, conditioned space, basement - conditioned, basement - unconditioned, garage, other housing unit, other heated space, other multifamily buffer space, other non-freezing space

The space type for the cooking range/oven location. If not provided, the OS-HPXML default (see HPXML Cooking Range/Oven) is used.

cooking_range_oven_fuel_type

true

Choice

electricity, natural gas, fuel oil, propane, wood, coal

Type of fuel used by the cooking range/oven.

cooking_range_oven_is_induction

false

Boolean

auto, true, false

Whether the cooking range is induction. If not provided, the OS-HPXML default (see HPXML Cooking Range/Oven) is used.

cooking_range_oven_is_convection

false

Boolean

auto, true, false

Whether the oven is convection. If not provided, the OS-HPXML default (see HPXML Cooking Range/Oven) is used.

Options

From project_national the list of options, option stock saturation, and option arguments for the Cooking Range characteristic.

Option name

Stock saturation

cooking_range_oven_present

cooking_range_oven_location

cooking_range_oven_fuel_type

cooking_range_oven_is_induction

cooking_range_oven_is_convection

Electric Induction

2.8%

true

auto

electricity

true

auto

Electric Resistance

60%

true

auto

electricity

false

auto

Gas

33%

true

auto

natural gas

false

auto

None

0.096%

false

auto

natural gas

false

auto

Propane

4.9%

true

auto

propane

false

auto

Void

0%

Cooking Range Usage Level

Description

Cooking range energy usage level multiplier.

Created by

sources/other/tsv_maker.py

Source

  • n/a

Assumption

  • Engineering judgement

Arguments

Name

Required

Units

Type

Choices

Description

cooking_range_oven_usage_multiplier

false

Double

auto

Multiplier on the cooking range/oven energy usage that can reflect, e.g., high/low usage occupants. If not provided, the OS-HPXML default (see HPXML Cooking Range/Oven) is used.

Options

From project_national the list of options, option stock saturation, and option arguments for the Cooking Range Usage Level characteristic.

Option name

Stock saturation

cooking_range_oven_usage_multiplier

80% Usage

25%

0.8

100% Usage

50%

1.0

120% Usage

25%

1.2

Cooling Setpoint

Description

Baseline cooling setpoint with no offset applied.

Created by

sources/recs/recs2020/tsv_maker.py

Source

  • U.S. EIA 2020 Residential Energy Consumption Survey (RECS) microdata.

Assumption

  • For dependency conditions with low samples, the following lumpings are used in progressive order until there are enough samples: 1) lumping buildings into Single-Family and Multi-Family only, 2) lumping buildings into Single-Family and Multi-Family only and lumping nearby climate zones within A/B regions and separately 7AK and 8AK 3) lumping all building types together and lumping climate zones within A/B regions and separately 7AK and 8AK, 4) Owner and Renter are is lumped together which at this point only modifies AK distributions.Vacant units (for which Tenure = ‘Not Available’) are assumed to follow the same distribution as occupied units

  • Cooling setpoint arguments need to be assigned. A cooling setpoint of None corresponds to 95 F, but is not used by OpenStudio-HPXML. No cooling energy is expected.

Arguments

Name

Required

Units

Type

Choices

Description

hvac_control_cooling_season_period

false

String

auto

Enter a date range like ‘Jun 1 - Oct 31’. If not provided, the OS-HPXML default (see HPXML HVAC Control) is used. Can also provide ‘BuildingAmerica’ to use automatic seasons from the Building America House Simulation Protocols.

hvac_control_cooling_weekday_setpoint_temp

true

deg-F

Double

Specify the weekday cooling setpoint temperature.

hvac_control_cooling_weekend_setpoint_temp

true

deg-F

Double

Specify the weekend cooling setpoint temperature.

use_auto_cooling_season

true

Boolean

true, false

Specifies whether to automatically define the cooling season based on the weather file.

Options

From project_national the list of options, option stock saturation, and option arguments for the Cooling Setpoint characteristic.

Option name

Stock saturation

hvac_control_cooling_season_period

hvac_control_cooling_weekday_setpoint_temp

hvac_control_cooling_weekend_setpoint_temp

use_auto_cooling_season

60F

3.2%

auto

60

60

false

62F

0.98%

auto

62

62

false

65F

4.1%

auto

65

65

false

67F

2%

auto

67

67

false

68F

12%

auto

68

68

false

70F

19%

auto

70

70

false

72F

20%

auto

72

72

false

75F

19%

auto

75

75

false

76F

8%

auto

76

76

false

78F

7.9%

auto

78

78

false

80F

4.8%

auto

80

80

false

Void

0%

Cooling Setpoint Has Offset

Description

Presence of a cooling setpoint offset.

Created by

sources/recs/recs2020/tsv_maker.py

Source

  • U.S. EIA 2020 Residential Energy Consumption Survey (RECS) microdata.

Assumption

  • For dependency conditions with low samples, the following lumpings are used in progressive order until there are enough samples: 1) lumping buildings into Single-Family and Multi-Family only, 2) lumping all building types together and lumping climate zones within A/B regions and separately 7AK and 8AK

Options

From project_national the list of options, option stock saturation, and option arguments for the Cooling Setpoint Has Offset characteristic.

Option name

Stock saturation

No

64%

Yes

36%

Cooling Setpoint Offset Magnitude

Description

The magnitude of cooling setpoint offset.

Created by

sources/recs/recs2020/tsv_maker.py

Source

  • U.S. EIA 2020 Residential Energy Consumption Survey (RECS) microdata.

Assumption

  • For dependency conditions with low samples, the following lumpings are used in progressive order until there are enough samples: 1) lumping buildings into Single-Family and Multi-Family only, 2) lumping buildings into Single-Family and Multi-Family only and lumping nearby climate zones within A/B regions and separately 7AK and 8AK 3) lumping all building types together and lumping climate zones within A/B and separately 7AK and 8AK regions

Arguments

Name

Required

Units

Type

Choices

Description

hvac_control_cooling_weekday_setpoint_offset_magnitude

true

deg-F

Double

Specify the weekday cooling offset magnitude.

hvac_control_cooling_weekend_setpoint_offset_magnitude

true

deg-F

Double

Specify the weekend cooling offset magnitude.

Options

From project_national the list of options, option stock saturation, and option arguments for the Cooling Setpoint Offset Magnitude characteristic.

Option name

Stock saturation

hvac_control_cooling_weekday_setpoint_offset_magnitude

hvac_control_cooling_weekend_setpoint_offset_magnitude

0F

64%

0

0

2F

21%

2

2

5F

10%

5

5

9F

5%

9

9

Cooling Setpoint Offset Period

Description

The period and offset for the dwelling unit’s cooling setpoint. Default for the day is from 9am to 5pm and for the night is 10pm to 7am.

Created by

sources/recs/recs2020/tsv_maker.py

Source

  • U.S. EIA 2020 Residential Energy Consumption Survey (RECS) microdata.

Assumption

  • For dependency conditions with low samples, the following lumpings are used in progressive order until there are enough samples: 1) lumping buildings into Single-Family and Multi-Family only, 2) lumping buildings into Single-Family and Multi-Family only and lumping nearby climate zones within A/B regions and separately 7AK and 8AK 3) lumping all building types together and lumping climate zones within A/B regions and separately 7AK and 8AK

Arguments

Name

Required

Units

Type

Choices

Description

hvac_control_cooling_weekday_setpoint_schedule

true

String

Specify the 24-hour comma-separated weekday cooling schedule of 0s and 1s.

hvac_control_cooling_weekend_setpoint_schedule

true

String

Specify the 24-hour comma-separated weekend cooling schedule of 0s and 1s.

Options

From project_national the list of options, option stock saturation, and option arguments for the Cooling Setpoint Offset Period characteristic.

Option name

Stock saturation

hvac_control_cooling_weekday_setpoint_schedule

hvac_control_cooling_weekend_setpoint_schedule

Day and Night Setup

0.091%

1,1,1,1,1,1,1,0,0,1,1,1,1,1,1,1,1,0,0,0,0,0,1,1

1,1,1,1,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1

Day and Night Setup -1h

0.091%

1,1,1,1,1,1,0,0,1,1,1,1,1,1,1,1,0,0,0,0,0,1,1,1

1,1,1,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1

Day and Night Setup -2h

0.091%

1,1,1,1,1,0,0,1,1,1,1,1,1,1,1,0,0,0,0,0,1,1,1,1

1,1,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1

Day and Night Setup -3h

0.091%

1,1,1,1,0,0,1,1,1,1,1,1,1,1,0,0,0,0,0,1,1,1,1,1

1,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1

Day and Night Setup -4h

0.091%

1,1,1,0,0,1,1,1,1,1,1,1,1,0,0,0,0,0,1,1,1,1,1,1

1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,1

Day and Night Setup -5h

0.091%

1,1,0,0,1,1,1,1,1,1,1,1,0,0,0,0,0,1,1,1,1,1,1,1

1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,1,1

Day and Night Setup +1h

0.091%

1,1,1,1,1,1,1,1,0,0,1,1,1,1,1,1,1,1,0,0,0,0,0,1

1,1,1,1,1,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1

Day and Night Setup +2h

0.091%

1,1,1,1,1,1,1,1,1,0,0,1,1,1,1,1,1,1,1,0,0,0,0,0

1,1,1,1,1,1,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0

Day and Night Setup +3h

0.091%

0,1,1,1,1,1,1,1,1,1,0,0,1,1,1,1,1,1,1,1,0,0,0,0

0,1,1,1,1,1,1,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0

Day and Night Setup +4h

0.091%

0,0,1,1,1,1,1,1,1,1,1,0,0,1,1,1,1,1,1,1,1,0,0,0

0,0,1,1,1,1,1,1,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0

Day and Night Setup +5h

0.091%

0,0,0,1,1,1,1,1,1,1,1,1,0,0,1,1,1,1,1,1,1,1,0,0

0,0,0,1,1,1,1,1,1,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0

Day Setup

0.28%

0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0

0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0

Day Setup -1h

0.28%

0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0

0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0

Day Setup -2h

0.28%

0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0

0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0

Day Setup -3h

0.28%

0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0

0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0

Day Setup -4h

0.28%

0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0

0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0

Day Setup -5h

0.28%

0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0

0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0

Day Setup +1h

0.28%

0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0

0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0

Day Setup +2h

0.28%

0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0

0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0

Day Setup +3h

0.28%

0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0

0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0

Day Setup +4h

0.28%

0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0

0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0

Day Setup +5h

0.28%

0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0

0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0

Day Setup and Night Setback

0.21%

-1,-1,-1,-1,-1,-1,-1,0,0,1,1,1,1,1,1,1,1,0,0,0,0,0,-1,-1

-1,-1,-1,-1,-1,-1,-1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,-1,-1

Day Setup and Night Setback -1h

0.21%

-1,-1,-1,-1,-1,-1,0,0,1,1,1,1,1,1,1,1,0,0,0,0,0,-1,-1,-1

-1,-1,-1,-1,-1,-1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,-1,-1,-1

Day Setup and Night Setback -2h

0.21%

-1,-1,-1,-1,-1,0,0,1,1,1,1,1,1,1,1,0,0,0,0,0,-1,-1,-1,-1

-1,-1,-1,-1,-1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,-1,-1,-1,-1

Day Setup and Night Setback -3h

0.21%

-1,-1,-1,-1,0,0,1,1,1,1,1,1,1,1,0,0,0,0,0,-1,-1,-1,-1,-1

-1,-1,-1,-1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,-1,-1,-1,-1,-1

Day Setup and Night Setback -4h

0.21%

-1,-1,-1,0,0,1,1,1,1,1,1,1,1,0,0,0,0,0,-1,-1,-1,-1,-1,-1

-1,-1,-1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,-1,-1,-1,-1,-1,-1

Day Setup and Night Setback -5h

0.21%

-1,-1,0,0,1,1,1,1,1,1,1,1,0,0,0,0,0,-1,-1,-1,-1,-1,-1,-1

-1,-1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,-1,-1,-1,-1,-1,-1,-1

Day Setup and Night Setback +1h

0.21%

-1,-1,-1,-1,-1,-1,-1,-1,0,0,1,1,1,1,1,1,1,1,0,0,0,0,0,-1

-1,-1,-1,-1,-1,-1,-1,-1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,-1

Day Setup and Night Setback +2h

0.21%

-1,-1,-1,-1,-1,-1,-1,-1,-1,0,0,1,1,1,1,1,1,1,1,0,0,0,0,0

-1,-1,-1,-1,-1,-1,-1,-1,-1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0

Day Setup and Night Setback +3h

0.21%

0,-1,-1,-1,-1,-1,-1,-1,-1,-1,0,0,1,1,1,1,1,1,1,1,0,0,0,0

0,-1,-1,-1,-1,-1,-1,-1,-1,-1,0,0,0,0,0,0,0,0,0,0,0,0,0,0

Day Setup and Night Setback +4h

0.21%

0,0,-1,-1,-1,-1,-1,-1,-1,-1,-1,0,0,1,1,1,1,1,1,1,1,0,0,0

0,0,-1,-1,-1,-1,-1,-1,-1,-1,-1,0,0,0,0,0,0,0,0,0,0,0,0,0

Day Setup and Night Setback +5h

0.21%

0,0,0,-1,-1,-1,-1,-1,-1,-1,-1,-1,0,0,1,1,1,1,1,1,1,1,0,0

0,0,0,-1,-1,-1,-1,-1,-1,-1,-1,-1,0,0,0,0,0,0,0,0,0,0,0,0

Night Setback

2%

-1, -1, -1, -1, -1, -1, -1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1, -1

-1, -1, -1, -1, -1, -1, -1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1, -1

Night Setback -1h

2%

-1, -1, -1, -1, -1, -1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1, -1, -1

-1, -1, -1, -1, -1, -1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1, -1, -1

Night Setback -2h

2%

-1, -1, -1, -1, -1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1, -1, -1, -1

-1, -1, -1, -1, -1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1, -1, -1, -1

Night Setback -3h

2%

-1, -1, -1, -1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1, -1, -1, -1, -1

-1, -1, -1, -1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1, -1, -1, -1, -1

Night Setback -4h

2%

-1, -1, -1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1, -1, -1, -1, -1, -1

-1, -1, -1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1, -1, -1, -1, -1, -1

Night Setback -5h

2%

-1, -1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1, -1, -1, -1, -1, -1, -1

-1, -1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1, -1, -1, -1, -1, -1, -1

Night Setback +1h

2%

-1, -1, -1, -1, -1, -1, -1, -1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1

-1, -1, -1, -1, -1, -1, -1, -1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1

Night Setback +2h

2%

-1, -1, -1, -1, -1, -1, -1, -1, -1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0

-1, -1, -1, -1, -1, -1, -1, -1, -1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0

Night Setback +3h

2%

0, -1, -1, -1, -1, -1, -1, -1, -1, -1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0

0, -1, -1, -1, -1, -1, -1, -1, -1, -1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0

Night Setback +4h

2%

0, 0, -1, -1, -1, -1, -1, -1, -1, -1, -1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0

0, 0, -1, -1, -1, -1, -1, -1, -1, -1, -1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0

Night Setback +5h

2%

0, 0, 0, -1, -1, -1, -1, -1, -1, -1, -1, -1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0

0, 0, 0, -1, -1, -1, -1, -1, -1, -1, -1, -1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0

Night Setup

0.65%

1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1

1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1

Night Setup -1h

0.65%

1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1

1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1

Night Setup -2h

0.65%

1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1

1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1

Night Setup -3h

0.65%

1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1

1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1

Night Setup -4h

0.65%

1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1

1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1

Night Setup -5h

0.65%

1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1

1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1

Night Setup +1h

0.65%

1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1

1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1

Night Setup +2h

0.65%

1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0

1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0

Night Setup +3h

0.65%

0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0

0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0

Night Setup +4h

0.65%

0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0

0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0

Night Setup +5h

0.65%

0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0

0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0

None

64%

0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0

0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0

Cooling Unavailable Days

Description

Number of days in a year the cooling system is unavailable.

Created by

sources/recs/recs2020/tsv_maker.py

Source

  • U.S. EIA 2020 Residential Energy Consumption Survey (RECS) microdata.

Arguments

Name

Required

Units

Type

Choices

Description

schedules_space_cooling_unavailable_days

false

Integer

Number of days space cooling equipment is unavailable.

Options

From project_national the list of options, option stock saturation, and option arguments for the Cooling Unavailable Days characteristic.

Option name

Stock saturation

schedules_space_cooling_unavailable_days

1 day

0.64%

1

1 month

0.95%

30

1 week

0.87%

7

2 weeks

0.74%

14

3 days

1.1%

3

3 months

0.61%

90

Never

95%

0

Year round

0.23%

365

Void

0%

Corridor

Description

Type of corridor attached to multi-family units.

Created by

manually created

Source

  • Engineering Judgment

Arguments

Name

Required

Units

Type

Choices

Description

geometry_corridor_position

true

Choice

Double-Loaded Interior, Double Exterior, Single Exterior (Front), None

The position of the corridor. Only applies to single-family attached and apartment units. Exterior corridors are shaded, but not enclosed. Interior corridors are enclosed and conditioned.

geometry_corridor_width

true

ft

Double

The width of the corridor. Only applies to apartment units.

Options

From project_national the list of options, option stock saturation, and option arguments for the Corridor characteristic.

Option name

Stock saturation

geometry_corridor_position

geometry_corridor_width

Not Applicable

74%

None

0

Double-Loaded Interior

26%

Double-Loaded Interior

10

None

0%

None

0

Single Exterior Front

0%

Single Exterior (Front)

10

Double Exterior

0%

Double Exterior

10

County

Description

The U.S. County that the sample is located.

Created by

sources/spatial/tsv_maker.py

Source

  • Spatial definitions are from the U.S. Census Bureau as of July 1, 2015.

  • Unit counts are from the American Community Survey 5-yr 2016.

Arguments

Name

Required

Units

Type

Choices

Description

simulation_control_daylight_saving_enabled

false

Boolean

auto, true, false

Whether to use daylight saving. If not provided, the OS-HPXML default (see HPXML Building Site) is used.

site_zip_code

false

String

Zip code of the home address. Either this or the Weather Station: EnergyPlus Weather (EPW) Filepath input below must be provided.

site_time_zone_utc_offset

false

hr

Double

auto

Time zone UTC offset of the home address. Must be between -12 and 14. If not provided, the OS-HPXML default (see HPXML Site) is used.

weather_station_epw_filepath

false

String

Path of the EPW file. Either this or the Site: Zip Code input above must be provided.

Options

From project_national the list of options, option stock saturation, and option arguments for the County characteristic.

Option name

Stock saturation

simulation_control_daylight_saving_enabled

site_zip_code

site_time_zone_utc_offset

weather_station_epw_filepath

AK, Aleutians East Borough

0.00075%

true

99661

-9

../../../weather/G0200130.epw

AK, Aleutians West Census Area

0.0015%

true

99685

-9

../../../weather/G0200160.epw

AK, Anchorage Municipality

0.085%

true

99501

-9

../../../weather/G0200200.epw

AK, Bethel Census Area

0.0045%

true

99545

-9

../../../weather/G0200500.epw

AK, Bristol Bay Borough

0.00068%

true

99633

-9

../../../weather/G0200600.epw

AK, Denali Borough

0.0013%

true

99743

-9

../../../weather/G0200680.epw

AK, Dillingham Census Area

0.0018%

true

99576

-9

../../../weather/G0200700.epw

AK, Fairbanks North Star Borough

0.031%

true

99709

-9

../../../weather/G0200900.epw

AK, Haines Borough

0.0012%

true

99827

-9

../../../weather/G0201000.epw

AK, Hoonah-Angoon Census Area

0.0012%

true

99829

-9

../../../weather/G0201050.epw

AK, Juneau City and Borough

0.0099%

true

99802

-9

../../../weather/G0201100.epw

AK, Kenai Peninsula Borough

0.023%

true

99611

-9

../../../weather/G0201220.epw

AK, Ketchikan Gateway Borough

0.0047%

true

99901

-9

../../../weather/G0201300.epw

AK, Kodiak Island Borough

0.004%

true

99615

-9

../../../weather/G0201500.epw

AK, Kusilvak Census Area

0.0017%

true

99604

-9

../../../weather/G0202700.epw

AK, Lake and Peninsula Borough

0.0011%

true

99653

-9

../../../weather/G0201640.epw

AK, Matanuska-Susitna Borough

0.031%

true

99645

-9

../../../weather/G0201700.epw

AK, Nome Census Area

0.003%

true

99762

-9

../../../weather/G0201800.epw

AK, North Slope Borough

0.0019%

true

99723

-9

../../../weather/G0201850.epw

AK, Northwest Arctic Borough

0.002%

true

99752

-9

../../../weather/G0201880.epw

AK, Petersburg Borough

0.0013%

true

99833

-9

../../../weather/G0201950.epw

AK, Prince of Wales-Hyder Census Area

0.0025%

true

99926

-9

../../../weather/G0201980.epw

AK, Sitka City and Borough

0.0031%

true

99835

-9

../../../weather/G0202200.epw

AK, Skagway Municipality

0.00048%

true

99840

-9

../../../weather/G0202300.epw

AK, Southeast Fairbanks Census Area

0.0029%

true

99731

-9

../../../weather/G0202400.epw

AK, Valdez-Cordova Census Area

0.0046%

true

99686

-9

../../../weather/G0202610.epw

AK, Wrangell City and Borough

0.0011%

true

99903

-9

../../../weather/G0202750.epw

AK, Yakutat City and Borough

0.00029%

true

99689

-9

../../../weather/G0202820.epw

AK, Yukon-Koyukuk Census Area

0.003%

true

99740

-9

../../../weather/G0202900.epw

AL, Autauga County

0.017%

true

36067

-6

../../../weather/G0100010.epw

AL, Baldwin County

0.08%

true

36535

-6

../../../weather/G0100030.epw

AL, Barbour County

0.0088%

true

36027

-6

../../../weather/G0100050.epw

AL, Bibb County

0.0067%

true

35042

-6

../../../weather/G0100070.epw

AL, Blount County

0.018%

true

35121

-6

../../../weather/G0100090.epw

AL, Bullock County

0.0033%

true

36089

-6

../../../weather/G0100110.epw

AL, Butler County

0.0074%

true

36037

-6

../../../weather/G0100130.epw

AL, Calhoun County

0.04%

true

36201

-6

../../../weather/G0100150.epw

AL, Chambers County

0.013%

true

36863

-6

../../../weather/G0100170.epw

AL, Cherokee County

0.012%

true

35960

-6

../../../weather/G0100190.epw

AL, Chilton County

0.014%

true

35045

-6

../../../weather/G0100210.epw

AL, Choctaw County

0.0054%

true

36904

-6

../../../weather/G0100230.epw

AL, Clarke County

0.0094%

true

36545

-6

../../../weather/G0100250.epw

AL, Clay County

0.005%

true

36251

-6

../../../weather/G0100270.epw

AL, Cleburne County

0.005%

true

36264

-6

../../../weather/G0100290.epw

AL, Coffee County

0.017%

true

36330

-6

../../../weather/G0100310.epw

AL, Colbert County

0.02%

true

35674

-6

../../../weather/G0100330.epw

AL, Conecuh County

0.0053%

true

36401

-6

../../../weather/G0100350.epw

AL, Coosa County

0.0048%

true

35151

-6

../../../weather/G0100370.epw

AL, Covington County

0.014%

true

36420

-6

../../../weather/G0100390.epw

AL, Crenshaw County

0.005%

true

36049

-6

../../../weather/G0100410.epw

AL, Cullman County

0.028%

true

35055

-6

../../../weather/G0100430.epw

AL, Dale County

0.017%

true

36360

-6

../../../weather/G0100450.epw

AL, Dallas County

0.015%

true

36701

-6

../../../weather/G0100470.epw

AL, DeKalb County

0.023%

true

35967

-6

../../../weather/G0100490.epw

AL, Elmore County

0.025%

true

36092

-6

../../../weather/G0100510.epw

AL, Escambia County

0.012%

true

36426

-6

../../../weather/G0100530.epw

AL, Etowah County

0.035%

true

35901

-6

../../../weather/G0100550.epw

AL, Fayette County

0.0063%

true

35555

-6

../../../weather/G0100570.epw

AL, Franklin County

0.01%

true

35653

-6

../../../weather/G0100590.epw

AL, Geneva County

0.0094%

true

36375

-6

../../../weather/G0100610.epw

AL, Greene County

0.0037%

true

35462

-6

../../../weather/G0100630.epw

AL, Hale County

0.0057%

true

36744

-6

../../../weather/G0100650.epw

AL, Henry County

0.0067%

true

36310

-6

../../../weather/G0100670.epw

AL, Houston County

0.035%

true

36301

-6

../../../weather/G0100690.epw

AL, Jackson County

0.018%

true

35768

-6

../../../weather/G0100710.epw

AL, Jefferson County

0.23%

true

35215

-6

../../../weather/G0100730.epw

AL, Lamar County

0.0055%

true

35586

-6

../../../weather/G0100750.epw

AL, Lauderdale County

0.033%

true

35630

-6

../../../weather/G0100770.epw

AL, Lawrence County

0.011%

true

35650

-6

../../../weather/G0100790.epw

AL, Lee County

0.049%

true

36830

-6

../../../weather/G0100810.epw

AL, Limestone County

0.026%

true

35611

-6

../../../weather/G0100830.epw

AL, Lowndes County

0.0038%

true

36040

-6

../../../weather/G0100850.epw

AL, Macon County

0.0076%

true

36083

-6

../../../weather/G0100870.epw

AL, Madison County

0.12%

true

35758

-6

../../../weather/G0100890.epw

AL, Marengo County

0.0076%

true

36732

-6

../../../weather/G0100910.epw

AL, Marion County

0.011%

true

35570

-6

../../../weather/G0100930.epw

AL, Marshall County

0.03%

true

35976

-6

../../../weather/G0100950.epw

AL, Mobile County

0.14%

true

36695

-6

../../../weather/G0100970.epw

AL, Monroe County

0.0084%

true

36460

-6

../../../weather/G0100990.epw

AL, Montgomery County

0.077%

true

36117

-6

../../../weather/G0101010.epw

AL, Morgan County

0.038%

true

35601

-6

../../../weather/G0101030.epw

AL, Perry County

0.0035%

true

36756

-6

../../../weather/G0101050.epw

AL, Pickens County

0.007%

true

35466

-6

../../../weather/G0101070.epw

AL, Pike County

0.012%

true

36081

-6

../../../weather/G0101090.epw

AL, Randolph County

0.0089%

true

36274

-6

../../../weather/G0101110.epw

AL, Russell County

0.02%

true

36869

-6

../../../weather/G0101130.epw

AL, Shelby County

0.062%

true

35242

-6

../../../weather/G0101170.epw

AL, St. Clair County

0.027%

true

35120

-6

../../../weather/G0101150.epw

AL, Sumter County

0.005%

true

36925

-6

../../../weather/G0101190.epw

AL, Talladega County

0.028%

true

35160

-6

../../../weather/G0101210.epw

AL, Tallapoosa County

0.016%

true

35010

-6

../../../weather/G0101230.epw

AL, Tuscaloosa County

0.066%

true

35401

-6

../../../weather/G0101250.epw

AL, Walker County

0.023%

true

35504

-6

../../../weather/G0101270.epw

AL, Washington County

0.0062%

true

36558

-6

../../../weather/G0101290.epw

AL, Wilcox County

0.0042%

true

36726

-6

../../../weather/G0101310.epw

AL, Winston County

0.01%

true

35565

-6

../../../weather/G0101330.epw

AR, Arkansas County

0.007%

true

72160

-6

../../../weather/G0500010.epw

AR, Ashley County

0.0075%

true

71635

-6

../../../weather/G0500030.epw

AR, Baxter County

0.017%

true

72653

-6

../../../weather/G0500050.epw

AR, Benton County

0.073%

true

72712

-6

../../../weather/G0500070.epw

AR, Boone County

0.013%

true

72601

-6

../../../weather/G0500090.epw

AR, Bradley County

0.0043%

true

71671

-6

../../../weather/G0500110.epw

AR, Calhoun County

0.0022%

true

71744

-6

../../../weather/G0500130.epw

AR, Carroll County

0.01%

true

72616

-6

../../../weather/G0500150.epw

AR, Chicot County

0.004%

true

71653

-6

../../../weather/G0500170.epw

AR, Clark County

0.0078%

true

71923

-6

../../../weather/G0500190.epw

AR, Clay County

0.006%

true

72454

-6

../../../weather/G0500210.epw

AR, Cleburne County

0.012%

true

72543

-6

../../../weather/G0500230.epw

AR, Cleveland County

0.003%

true

71665

-6

../../../weather/G0500250.epw

AR, Columbia County

0.0086%

true

71753

-6

../../../weather/G0500270.epw

AR, Conway County

0.0073%

true

72110

-6

../../../weather/G0500290.epw

AR, Craighead County

0.032%

true

72401

-6

../../../weather/G0500310.epw

AR, Crawford County

0.02%

true

72956

-6

../../../weather/G0500330.epw

AR, Crittenden County

0.016%

true

72301

-6

../../../weather/G0500350.epw

AR, Cross County

0.0059%

true

72396

-6

../../../weather/G0500370.epw

AR, Dallas County

0.0032%

true

71742

-6

../../../weather/G0500390.epw

AR, Desha County

0.0047%

true

71639

-6

../../../weather/G0500410.epw

AR, Drew County

0.0063%

true

71655

-6

../../../weather/G0500430.epw

AR, Faulkner County

0.036%

true

72034

-6

../../../weather/G0500450.epw

AR, Franklin County

0.006%

true

72949

-6

../../../weather/G0500470.epw

AR, Fulton County

0.005%

true

72554

-6

../../../weather/G0500490.epw

AR, Garland County

0.038%

true

71913

-6

../../../weather/G0500510.epw

AR, Grant County

0.0058%

true

72150

-6

../../../weather/G0500530.epw

AR, Greene County

0.014%

true

72450

-6

../../../weather/G0500550.epw

AR, Hempstead County

0.0078%

true

71801

-6

../../../weather/G0500570.epw

AR, Hot Spring County

0.011%

true

72104

-6

../../../weather/G0500590.epw

AR, Howard County

0.0046%

true

71852

-6

../../../weather/G0500610.epw

AR, Independence County

0.012%

true

72501

-6

../../../weather/G0500630.epw

AR, Izard County

0.0054%

true

72556

-6

../../../weather/G0500650.epw

AR, Jackson County

0.0057%

true

72112

-6

../../../weather/G0500670.epw

AR, Jefferson County

0.025%

true

71603

-6

../../../weather/G0500690.epw

AR, Johnson County

0.0085%

true

72830

-6

../../../weather/G0500710.epw

AR, Lafayette County

0.0032%

true

71860

-6

../../../weather/G0500730.epw

AR, Lawrence County

0.0059%

true

72476

-6

../../../weather/G0500750.epw

AR, Lee County

0.0033%

true

72360

-6

../../../weather/G0500770.epw

AR, Lincoln County

0.0036%

true

71667

-6

../../../weather/G0500790.epw

AR, Little River County

0.0048%

true

71822

-6

../../../weather/G0500810.epw

AR, Logan County

0.0076%

true

72927

-6

../../../weather/G0500830.epw

AR, Lonoke County

0.021%

true

72023

-6

../../../weather/G0500850.epw

AR, Madison County

0.0056%

true

72740

-6

../../../weather/G0500870.epw

AR, Marion County

0.007%

true

72687

-6

../../../weather/G0500890.epw

AR, Miller County

0.014%

true

71854

-6

../../../weather/G0500910.epw

AR, Mississippi County

0.015%

true

72315

-6

../../../weather/G0500930.epw

AR, Monroe County

0.0033%

true

72021

-6

../../../weather/G0500950.epw

AR, Montgomery County

0.0043%

true

71957

-6

../../../weather/G0500970.epw

AR, Nevada County

0.0034%

true

71857

-6

../../../weather/G0500990.epw

AR, Newton County

0.0035%

true

72641

-6

../../../weather/G0501010.epw

AR, Ouachita County

0.0097%

true

71701

-6

../../../weather/G0501030.epw

AR, Perry County

0.0037%

true

72126

-6

../../../weather/G0501050.epw

AR, Phillips County

0.0076%

true

72390

-6

../../../weather/G0501070.epw

AR, Pike County

0.0042%

true

71943

-6

../../../weather/G0501090.epw

AR, Poinsett County

0.0082%

true

72472

-6

../../../weather/G0501110.epw

AR, Polk County

0.0075%

true

71953

-6

../../../weather/G0501130.epw

AR, Pope County

0.019%

true

72802

-6

../../../weather/G0501150.epw

AR, Prairie County

0.0034%

true

72040

-6

../../../weather/G0501170.epw

AR, Pulaski County

0.14%

true

72076

-6

../../../weather/G0501190.epw

AR, Randolph County

0.0064%

true

72455

-6

../../../weather/G0501210.epw

AR, Saline County

0.035%

true

72019

-6

../../../weather/G0501250.epw

AR, Scott County

0.0039%

true

72958

-6

../../../weather/G0501270.epw

AR, Searcy County

0.0037%

true

72650

-6

../../../weather/G0501290.epw

AR, Sebastian County

0.042%

true

72903

-6

../../../weather/G0501310.epw

AR, Sevier County

0.0051%

true

71832

-6

../../../weather/G0501330.epw

AR, Sharp County

0.0073%

true

72529

-6

../../../weather/G0501350.epw

AR, St. Francis County

0.0081%

true

72335

-6

../../../weather/G0501230.epw

AR, Stone County

0.005%

true

72560

-6

../../../weather/G0501370.epw

AR, Union County

0.015%

true

71730

-6

../../../weather/G0501390.epw

AR, Van Buren County

0.0077%

true

72031

-6

../../../weather/G0501410.epw

AR, Washington County

0.067%

true

72701

-6

../../../weather/G0501430.epw

AR, White County

0.025%

true

72143

-6

../../../weather/G0501450.epw

AR, Woodruff County

0.0029%

true

72006

-6

../../../weather/G0501470.epw

AR, Yell County

0.0073%

true

72834

-6

../../../weather/G0501490.epw

AZ, Apache County

0.024%

false

85936

-7

../../../weather/G0400010.epw

AZ, Cochise County

0.045%

false

85635

-7

../../../weather/G0400030.epw

AZ, Coconino County

0.048%

false

86001

-7

../../../weather/G0400050.epw

AZ, Gila County

0.025%

false

85541

-7

../../../weather/G0400070.epw

AZ, Graham County

0.0099%

false

85546

-7

../../../weather/G0400090.epw

AZ, Greenlee County

0.0033%

false

85534

-7

../../../weather/G0400110.epw

AZ, La Paz County

0.012%

false

85344

-7

../../../weather/G0400120.epw

AZ, Maricopa County

1.3%

false

85281

-7

../../../weather/G0400130.epw

AZ, Mohave County

0.084%

false

86442

-7

../../../weather/G0400150.epw

AZ, Navajo County

0.043%

false

85901

-7

../../../weather/G0400170.epw

AZ, Pima County

0.34%

false

85705

-7

../../../weather/G0400190.epw

AZ, Pinal County

0.12%

false

85122

-7

../../../weather/G0400210.epw

AZ, Santa Cruz County

0.014%

false

85621

-7

../../../weather/G0400230.epw

AZ, Yavapai County

0.084%

false

86314

-7

../../../weather/G0400250.epw

AZ, Yuma County

0.067%

false

85364

-7

../../../weather/G0400270.epw

CA, Alameda County

0.44%

true

94501

-8

../../../weather/G0600010.epw

CA, Alpine County

0.0013%

true

96120

-8

../../../weather/G0600030.epw

CA, Amador County

0.014%

true

95642

-8

../../../weather/G0600050.epw

CA, Butte County

0.073%

true

95928

-8

../../../weather/G0600070.epw

CA, Calaveras County

0.021%

true

95252

-8

../../../weather/G0600090.epw

CA, Colusa County

0.0059%

true

95932

-8

../../../weather/G0600110.epw

CA, Contra Costa County

0.3%

true

94565

-8

../../../weather/G0600130.epw

CA, Del Norte County

0.0084%

true

95531

-8

../../../weather/G0600150.epw

CA, El Dorado County

0.066%

true

95762

-8

../../../weather/G0600170.epw

CA, Fresno County

0.24%

true

93722

-8

../../../weather/G0600190.epw

CA, Glenn County

0.0081%

true

95963

-8

../../../weather/G0600210.epw

CA, Humboldt County

0.047%

true

95501

-8

../../../weather/G0600230.epw

CA, Imperial County

0.042%

true

92243

-8

../../../weather/G0600250.epw

CA, Inyo County

0.0071%

true

93514

-8

../../../weather/G0600270.epw

CA, Kern County

0.22%

true

93306

-8

../../../weather/G0600290.epw

CA, Kings County

0.034%

true

93230

-8

../../../weather/G0600310.epw

CA, Lake County

0.027%

true

95422

-8

../../../weather/G0600330.epw

CA, Lassen County

0.0095%

true

96130

-8

../../../weather/G0600350.epw

CA, Los Angeles County

2.6%

true

90250

-8

../../../weather/G0600370.epw

CA, Madera County

0.037%

true

93637

-8

../../../weather/G0600390.epw

CA, Marin County

0.084%

true

94901

-8

../../../weather/G0600410.epw

CA, Mariposa County

0.0077%

true

95338

-8

../../../weather/G0600430.epw

CA, Mendocino County

0.03%

true

95482

-8

../../../weather/G0600450.epw

CA, Merced County

0.063%

true

93635

-8

../../../weather/G0600470.epw

CA, Modoc County

0.0039%

true

96101

-8

../../../weather/G0600490.epw

CA, Mono County

0.01%

true

93546

-8

../../../weather/G0600510.epw

CA, Monterey County

0.1%

true

93906

-8

../../../weather/G0600530.epw

CA, Napa County

0.041%

true

94558

-8

../../../weather/G0600550.epw

CA, Nevada County

0.04%

true

95945

-8

../../../weather/G0600570.epw

CA, Orange County

0.8%

true

92683

-8

../../../weather/G0600590.epw

CA, Placer County

0.12%

true

95747

-8

../../../weather/G0600610.epw

CA, Plumas County

0.012%

true

96122

-8

../../../weather/G0600630.epw

CA, Riverside County

0.61%

true

92503

-8

../../../weather/G0600650.epw

CA, Sacramento County

0.42%

true

95630

-8

../../../weather/G0600670.epw

CA, San Benito County

0.014%

true

95023

-8

../../../weather/G0600690.epw

CA, San Bernardino County

0.53%

true

92336

-8

../../../weather/G0600710.epw

CA, San Diego County

0.89%

true

92101

-8

../../../weather/G0600730.epw

CA, San Francisco County

0.29%

true

94109

-8

../../../weather/G0600750.epw

CA, San Joaquin County

0.18%

true

95206

-8

../../../weather/G0600770.epw

CA, San Luis Obispo County

0.089%

true

93446

-8

../../../weather/G0600790.epw

CA, San Mateo County

0.2%

true

94080

-8

../../../weather/G0600810.epw

CA, Santa Barbara County

0.12%

true

93436

-8

../../../weather/G0600830.epw

CA, Santa Clara County

0.49%

true

95035

-8

../../../weather/G0600850.epw

CA, Santa Cruz County

0.079%

true

95076

-8

../../../weather/G0600870.epw

CA, Shasta County

0.058%

true

96003

-8

../../../weather/G0600890.epw

CA, Sierra County

0.0018%

true

95960

-8

../../../weather/G0600910.epw

CA, Siskiyou County

0.018%

true

96097

-8

../../../weather/G0600930.epw

CA, Solano County

0.12%

true

94533

-8

../../../weather/G0600950.epw

CA, Sonoma County

0.15%

true

95403

-8

../../../weather/G0600970.epw

CA, Stanislaus County

0.13%

true

95355

-8

../../../weather/G0600990.epw

CA, Sutter County

0.025%

true

95991

-8

../../../weather/G0601010.epw

CA, Tehama County

0.02%

true

96080

-8

../../../weather/G0601030.epw

CA, Trinity County

0.0066%

true

96091

-8

../../../weather/G0601050.epw

CA, Tulare County

0.11%

true

93274

-8

../../../weather/G0601070.epw

CA, Tuolumne County

0.023%

true

95370

-8

../../../weather/G0601090.epw

CA, Ventura County

0.21%

true

93065

-8

../../../weather/G0601110.epw

CA, Yolo County

0.057%

true

95616

-8

../../../weather/G0601130.epw

CA, Yuba County

0.021%

true

95901

-8

../../../weather/G0601150.epw

CO, Adams County

0.12%

true

80229

-7

../../../weather/G0800010.epw

CO, Alamosa County

0.005%

true

81101

-7

../../../weather/G0800030.epw

CO, Arapahoe County

0.18%

true

80013

-7

../../../weather/G0800050.epw

CO, Archuleta County

0.0067%

true

81147

-7

../../../weather/G0800070.epw

CO, Baca County

0.0017%

true

81073

-7

../../../weather/G0800090.epw

CO, Bent County

0.0016%

true

81054

-7

../../../weather/G0800110.epw

CO, Boulder County

0.098%

true

80501

-7

../../../weather/G0800130.epw

CO, Broomfield County

0.019%

true

80020

-7

../../../weather/G0800140.epw

CO, Chaffee County

0.0077%

true

81201

-7

../../../weather/G0800150.epw

CO, Cheyenne County

0.00069%

true

80810

-7

../../../weather/G0800170.epw

CO, Clear Creek County

0.0042%

true

80439

-7

../../../weather/G0800190.epw

CO, Conejos County

0.0032%

true

81120

-7

../../../weather/G0800210.epw

CO, Costilla County

0.002%

true

81133

-7

../../../weather/G0800230.epw

CO, Crowley County

0.0012%

true

81063

-7

../../../weather/G0800250.epw

CO, Custer County

0.0032%

true

81252

-7

../../../weather/G0800270.epw

CO, Delta County

0.011%

true

81416

-7

../../../weather/G0800290.epw

CO, Denver County

0.22%

true

80211

-7

../../../weather/G0800310.epw

CO, Dolores County

0.001%

true

81324

-7

../../../weather/G0800330.epw

CO, Douglas County

0.088%

true

80134

-7

../../../weather/G0800350.epw

CO, Eagle County

0.024%

true

81620

-7

../../../weather/G0800370.epw

CO, El Paso County

0.2%

true

80918

-7

../../../weather/G0800410.epw

CO, Elbert County

0.0068%

true

80107

-7

../../../weather/G0800390.epw

CO, Fremont County

0.014%

true

81212

-7

../../../weather/G0800430.epw

CO, Garfield County

0.017%

true

81601

-7

../../../weather/G0800450.epw

CO, Gilpin County

0.0026%

true

80422

-7

../../../weather/G0800470.epw

CO, Grand County

0.012%

true

80459

-7

../../../weather/G0800490.epw

CO, Gunnison County

0.0086%

true

81230

-7

../../../weather/G0800510.epw

CO, Hinsdale County

0.0011%

true

81235

-7

../../../weather/G0800530.epw

CO, Huerfano County

0.0038%

true

81089

-7

../../../weather/G0800550.epw

CO, Jackson County

0.00096%

true

80480

-7

../../../weather/G0800570.epw

CO, Jefferson County

0.17%

true

80127

-7

../../../weather/G0800590.epw

CO, Kiowa County

0.00061%

true

81036

-7

../../../weather/G0800610.epw

CO, Kit Carson County

0.0026%

true

80807

-7

../../../weather/G0800630.epw

CO, La Plata County

0.02%

true

81301

-7

../../../weather/G0800670.epw

CO, Lake County

0.0034%

true

80461

-7

../../../weather/G0800650.epw

CO, Larimer County

0.1%

true

80525

-7

../../../weather/G0800690.epw

CO, Las Animas County

0.0062%

true

81082

-7

../../../weather/G0800710.epw

CO, Lincoln County

0.0015%

true

80828

-7

../../../weather/G0800730.epw

CO, Logan County

0.0067%

true

80751

-7

../../../weather/G0800750.epw

CO, Mesa County

0.048%

true

81504

-7

../../../weather/G0800770.epw

CO, Mineral County

0.00096%

true

81130

-7

../../../weather/G0800790.epw

CO, Moffat County

0.0046%

true

81625

-7

../../../weather/G0800810.epw

CO, Montezuma County

0.009%

true

81321

-7

../../../weather/G0800830.epw

CO, Montrose County

0.014%

true

81401

-7

../../../weather/G0800850.epw

CO, Morgan County

0.0086%

true

80701

-7

../../../weather/G0800870.epw

CO, Otero County

0.0066%

true

81050

-7

../../../weather/G0800890.epw

CO, Ouray County

0.0024%

true

81432

-7

../../../weather/G0800910.epw

CO, Park County

0.011%

true

80421

-7

../../../weather/G0800930.epw

CO, Phillips County

0.0015%

true

80734

-7

../../../weather/G0800950.epw

CO, Pitkin County

0.0097%

true

81612

-7

../../../weather/G0800970.epw

CO, Prowers County

0.0044%

true

81052

-7

../../../weather/G0800990.epw

CO, Pueblo County

0.052%

true

81001

-7

../../../weather/G0801010.epw

CO, Rio Blanco County

0.0025%

true

81648

-7

../../../weather/G0801030.epw

CO, Rio Grande County

0.0049%

true

81144

-7

../../../weather/G0801050.epw

CO, Routt County

0.012%

true

80487

-7

../../../weather/G0801070.epw

CO, Saguache County

0.0029%

true

81125

-7

../../../weather/G0801090.epw

CO, San Juan County

0.00055%

true

81433

-7

../../../weather/G0801110.epw

CO, San Miguel County

0.005%

true

81435

-7

../../../weather/G0801130.epw

CO, Sedgwick County

0.00097%

true

80737

-7

../../../weather/G0801150.epw

CO, Summit County

0.023%

true

80424

-7

../../../weather/G0801170.epw

CO, Teller County

0.0096%

true

80863

-7

../../../weather/G0801190.epw

CO, Washington County

0.0018%

true

80720

-7

../../../weather/G0801210.epw

CO, Weld County

0.075%

true

80634

-7

../../../weather/G0801230.epw

CO, Yuma County

0.0033%

true

80759

-7

../../../weather/G0801250.epw

CT, Fairfield County

0.27%

true

06902

-5

../../../weather/G0900010.epw

CT, Hartford County

0.28%

true

06010

-5

../../../weather/G0900030.epw

CT, Litchfield County

0.065%

true

06790

-5

../../../weather/G0900050.epw

CT, Middlesex County

0.056%

true

06457

-5

../../../weather/G0900070.epw

CT, New Haven County

0.27%

true

06516

-5

../../../weather/G0900090.epw

CT, New London County

0.091%

true

06360

-5

../../../weather/G0900110.epw

CT, Tolland County

0.044%

true

06066

-5

../../../weather/G0900130.epw

CT, Windham County

0.037%

true

06226

-5

../../../weather/G0900150.epw

DC, District of Columbia

0.23%

true

20002

-5

../../../weather/G1100010.epw

DE, Kent County

0.051%

true

19904

-5

../../../weather/G1000010.epw

DE, New Castle County

0.16%

true

19720

-5

../../../weather/G1000030.epw

DE, Sussex County

0.096%

true

19966

-5

../../../weather/G1000050.epw

FL, Alachua County

0.085%

true

32608

-5

../../../weather/G1200010.epw

FL, Baker County

0.0072%

true

32063

-5

../../../weather/G1200030.epw

FL, Bay County

0.075%

true

32404

-6

../../../weather/G1200050.epw

FL, Bradford County

0.0081%

true

32091

-5

../../../weather/G1200070.epw

FL, Brevard County

0.2%

true

32940

-5

../../../weather/G1200090.epw

FL, Broward County

0.61%

true

33027

-5

../../../weather/G1200110.epw

FL, Calhoun County

0.0044%

true

32424

-6

../../../weather/G1200130.epw

FL, Charlotte County

0.076%

true

33950

-5

../../../weather/G1200150.epw

FL, Citrus County

0.058%

true

34446

-5

../../../weather/G1200170.epw

FL, Clay County

0.058%

true

32068

-5

../../../weather/G1200190.epw

FL, Collier County

0.15%

true

34112

-5

../../../weather/G1200210.epw

FL, Columbia County

0.021%

true

32025

-5

../../../weather/G1200230.epw

FL, DeSoto County

0.011%

true

34266

-5

../../../weather/G1200270.epw

FL, Dixie County

0.0068%

true

32680

-5

../../../weather/G1200290.epw

FL, Duval County

0.3%

true

32256

-5

../../../weather/G1200310.epw

FL, Escambia County

0.1%

true

32507

-6

../../../weather/G1200330.epw

FL, Flagler County

0.037%

true

32137

-5

../../../weather/G1200350.epw

FL, Franklin County

0.0064%

true

32328

-5

../../../weather/G1200370.epw

FL, Gadsden County

0.014%

true

32351

-5

../../../weather/G1200390.epw

FL, Gilchrist County

0.0054%

true

32693

-5

../../../weather/G1200410.epw

FL, Glades County

0.0051%

true

33471

-5

../../../weather/G1200430.epw

FL, Gulf County

0.0069%

true

32456

-6

../../../weather/G1200450.epw

FL, Hamilton County

0.0043%

true

32052

-5

../../../weather/G1200470.epw

FL, Hardee County

0.0072%

true

33873

-5

../../../weather/G1200490.epw

FL, Hendry County

0.011%

true

33440

-5

../../../weather/G1200510.epw

FL, Hernando County

0.063%

true

34609

-5

../../../weather/G1200530.epw

FL, Highlands County

0.041%

true

33870

-5

../../../weather/G1200550.epw

FL, Hillsborough County

0.41%

true

33647

-5

../../../weather/G1200570.epw

FL, Holmes County

0.0064%

true

32425

-6

../../../weather/G1200590.epw

FL, Indian River County

0.058%

true

32958

-5

../../../weather/G1200610.epw

FL, Jackson County

0.016%

true

32446

-6

../../../weather/G1200630.epw

FL, Jefferson County

0.0049%

true

32344

-5

../../../weather/G1200650.epw

FL, Lafayette County

0.0024%

true

32066

-5

../../../weather/G1200670.epw

FL, Lake County

0.11%

true

34711

-5

../../../weather/G1200690.epw

FL, Lee County

0.28%

true

34135

-5

../../../weather/G1200710.epw

FL, Leon County

0.094%

true

32303

-5

../../../weather/G1200730.epw

FL, Levy County

0.015%

true

32696

-5

../../../weather/G1200750.epw

FL, Liberty County

0.0026%

true

32321

-5

../../../weather/G1200770.epw

FL, Madison County

0.0063%

true

32340

-5

../../../weather/G1200790.epw

FL, Manatee County

0.13%

true

34221

-5

../../../weather/G1200810.epw

FL, Marion County

0.12%

true

34491

-5

../../../weather/G1200830.epw

FL, Martin County

0.059%

true

34997

-5

../../../weather/G1200850.epw

FL, Miami-Dade County

0.75%

true

33160

-5

../../../weather/G1200860.epw

FL, Monroe County

0.04%

true

33040

-5

../../../weather/G1200870.epw

FL, Nassau County

0.027%

true

32034

-5

../../../weather/G1200890.epw

FL, Okaloosa County

0.071%

true

32541

-6

../../../weather/G1200910.epw

FL, Okeechobee County

0.014%

true

34974

-5

../../../weather/G1200930.epw

FL, Orange County

0.38%

true

34787

-5

../../../weather/G1200950.epw

FL, Osceola County

0.1%

true

34746

-5

../../../weather/G1200970.epw

FL, Palm Beach County

0.5%

true

33411

-5

../../../weather/G1200990.epw

FL, Pasco County

0.17%

true

34668

-5

../../../weather/G1201010.epw

FL, Pinellas County

0.38%

true

34698

-5

../../../weather/G1201030.epw

FL, Polk County

0.21%

true

33810

-5

../../../weather/G1201050.epw

FL, Putnam County

0.027%

true

32177

-5

../../../weather/G1201070.epw

FL, Santa Rosa County

0.05%

true

32566

-6

../../../weather/G1201130.epw

FL, Sarasota County

0.17%

true

34293

-5

../../../weather/G1201150.epw

FL, Seminole County

0.14%

true

32771

-5

../../../weather/G1201170.epw

FL, St. Johns County

0.072%

true

32259

-5

../../../weather/G1201090.epw

FL, St. Lucie County

0.1%

true

34953

-5

../../../weather/G1201110.epw

FL, Sumter County

0.048%

true

32162

-5

../../../weather/G1201190.epw

FL, Suwannee County

0.014%

true

32060

-5

../../../weather/G1201210.epw

FL, Taylor County

0.0081%

true

32348

-5

../../../weather/G1201230.epw

FL, Union County

0.0033%

true

32054

-5

../../../weather/G1201250.epw

FL, Volusia County

0.19%

true

32174

-5

../../../weather/G1201270.epw

FL, Wakulla County

0.0096%

true

32327

-5

../../../weather/G1201290.epw

FL, Walton County

0.036%

true

32459

-6

../../../weather/G1201310.epw

FL, Washington County

0.008%

true

32428

-6

../../../weather/G1201330.epw

GA, Appling County

0.0063%

true

31513

-5

../../../weather/G1300010.epw

GA, Atkinson County

0.0026%

true

31642

-5

../../../weather/G1300030.epw

GA, Bacon County

0.0035%

true

31510

-5

../../../weather/G1300050.epw

GA, Baker County

0.0013%

true

39870

-5

../../../weather/G1300070.epw

GA, Baldwin County

0.015%

true

31061

-5

../../../weather/G1300090.epw

GA, Banks County

0.0056%

true

30547

-5

../../../weather/G1300110.epw

GA, Barrow County

0.02%

true

30680

-5

../../../weather/G1300130.epw

GA, Bartow County

0.03%

true

30120

-5

../../../weather/G1300150.epw

GA, Ben Hill County

0.0059%

true

31750

-5

../../../weather/G1300170.epw

GA, Berrien County

0.0064%

true

31639

-5

../../../weather/G1300190.epw

GA, Bibb County

0.052%

true

31204

-5

../../../weather/G1300210.epw

GA, Bleckley County

0.0039%

true

31014

-5

../../../weather/G1300230.epw

GA, Brantley County

0.0059%

true

31553

-5

../../../weather/G1300250.epw

GA, Brooks County

0.0057%

true

31643

-5

../../../weather/G1300270.epw

GA, Bryan County

0.0097%

true

31324

-5

../../../weather/G1300290.epw

GA, Bulloch County

0.022%

true

30458

-5

../../../weather/G1300310.epw

GA, Burke County

0.0073%

true

30830

-5

../../../weather/G1300330.epw

GA, Butts County

0.0069%

true

30233

-5

../../../weather/G1300350.epw

GA, Calhoun County

0.0018%

true

39846

-5

../../../weather/G1300370.epw

GA, Camden County

0.016%

true

31558

-5

../../../weather/G1300390.epw

GA, Candler County

0.0035%

true

30439

-5

../../../weather/G1300430.epw

GA, Carroll County

0.033%

true

30117

-5

../../../weather/G1300450.epw

GA, Catoosa County

0.02%

true

30736

-5

../../../weather/G1300470.epw

GA, Charlton County

0.0033%

true

31537

-5

../../../weather/G1300490.epw

GA, Chatham County

0.092%

true

31419

-5

../../../weather/G1300510.epw

GA, Chattahoochee County

0.0025%

true

31905

-5

../../../weather/G1300530.epw

GA, Chattooga County

0.0081%

true

30747

-5

../../../weather/G1300550.epw

GA, Cherokee County

0.064%

true

30188

-5

../../../weather/G1300570.epw

GA, Clarke County

0.039%

true

30606

-5

../../../weather/G1300590.epw

GA, Clay County

0.0014%

true

39851

-5

../../../weather/G1300610.epw

GA, Clayton County

0.078%

true

30236

-5

../../../weather/G1300630.epw

GA, Clinch County

0.0022%

true

31634

-5

../../../weather/G1300650.epw

GA, Cobb County

0.22%

true

30080

-5

../../../weather/G1300670.epw

GA, Coffee County

0.013%

true

31533

-5

../../../weather/G1300690.epw

GA, Colquitt County

0.014%

true

31768

-5

../../../weather/G1300710.epw

GA, Columbia County

0.04%

true

30809

-5

../../../weather/G1300730.epw

GA, Cook County

0.0054%

true

31620

-5

../../../weather/G1300750.epw

GA, Coweta County

0.039%

true

30263

-5

../../../weather/G1300770.epw

GA, Crawford County

0.0039%

true

31078

-5

../../../weather/G1300790.epw

GA, Crisp County

0.008%

true

31015

-5

../../../weather/G1300810.epw

GA, Dade County

0.0054%

true

30752

-5

../../../weather/G1300830.epw

GA, Dawson County

0.0079%

true

30534

-5

../../../weather/G1300850.epw

GA, Decatur County

0.009%

true

39819

-5

../../../weather/G1300870.epw

GA, DeKalb County

0.23%

true

30058

-5

../../../weather/G1300890.epw

GA, Dodge County

0.0073%

true

31023

-5

../../../weather/G1300910.epw

GA, Dooly County

0.0046%

true

31092

-5

../../../weather/G1300930.epw

GA, Dougherty County

0.03%

true

31705

-5

../../../weather/G1300950.epw

GA, Douglas County

0.039%

true

30135

-5

../../../weather/G1300970.epw

GA, Early County

0.0037%

true

39823

-5

../../../weather/G1300990.epw

GA, Echols County

0.0012%

true

31636

-5

../../../weather/G1301010.epw

GA, Effingham County

0.015%

true

31326

-5

../../../weather/G1301030.epw

GA, Elbert County

0.0071%

true

30635

-5

../../../weather/G1301050.epw

GA, Emanuel County

0.0074%

true

30401

-5

../../../weather/G1301070.epw

GA, Evans County

0.0035%

true

30417

-5

../../../weather/G1301090.epw

GA, Fannin County

0.012%

true

30513

-5

../../../weather/G1301110.epw

GA, Fayette County

0.031%

true

30269

-5

../../../weather/G1301130.epw

GA, Floyd County

0.03%

true

30165

-5

../../../weather/G1301150.epw

GA, Forsyth County

0.053%

true

30040

-5

../../../weather/G1301170.epw

GA, Franklin County

0.0078%

true

30553

-5

../../../weather/G1301190.epw

GA, Fulton County

0.34%

true

30318

-5

../../../weather/G1301210.epw

GA, Gilmer County

0.012%

true

30540

-5

../../../weather/G1301230.epw

GA, Glascock County

0.0011%

true

30810

-5

../../../weather/G1301250.epw

GA, Glynn County

0.031%

true

31525

-5

../../../weather/G1301270.epw

GA, Gordon County

0.017%

true

30701

-5

../../../weather/G1301290.epw

GA, Grady County

0.008%

true

39828

-5

../../../weather/G1301310.epw

GA, Greene County

0.0068%

true

30642

-5

../../../weather/G1301330.epw

GA, Gwinnett County

0.22%

true

30044

-5

../../../weather/G1301350.epw

GA, Habersham County

0.014%

true

30531

-5

../../../weather/G1301370.epw

GA, Hall County

0.052%

true

30542

-5

../../../weather/G1301390.epw

GA, Hancock County

0.0039%

true

31087

-5

../../../weather/G1301410.epw

GA, Haralson County

0.0091%

true

30110

-5

../../../weather/G1301430.epw

GA, Harris County

0.01%

true

31804

-5

../../../weather/G1301450.epw

GA, Hart County

0.0097%

true

30643

-5

../../../weather/G1301470.epw

GA, Heard County

0.0038%

true

30217

-5

../../../weather/G1301490.epw

GA, Henry County

0.058%

true

30253

-5

../../../weather/G1301510.epw

GA, Houston County

0.045%

true

31088

-5

../../../weather/G1301530.epw

GA, Irwin County

0.003%

true

31774

-5

../../../weather/G1301550.epw

GA, Jackson County

0.018%

true

30549

-5

../../../weather/G1301570.epw

GA, Jasper County

0.0047%

true

31064

-5

../../../weather/G1301590.epw

GA, Jeff Davis County

0.0048%

true

31539

-5

../../../weather/G1301610.epw

GA, Jefferson County

0.0054%

true

30434

-5

../../../weather/G1301630.epw

GA, Jenkins County

0.0036%

true

30442

-5

../../../weather/G1301650.epw

GA, Johnson County

0.003%

true

31096

-5

../../../weather/G1301670.epw

GA, Jones County

0.0086%

true

31032

-5

../../../weather/G1301690.epw

GA, Lamar County

0.0056%

true

30204

-5

../../../weather/G1301710.epw

GA, Lanier County

0.0032%

true

31635

-5

../../../weather/G1301730.epw

GA, Laurens County

0.016%

true

31021

-5

../../../weather/G1301750.epw

GA, Lee County

0.008%

true

31763

-5

../../../weather/G1301770.epw

GA, Liberty County

0.02%

true

31313

-5

../../../weather/G1301790.epw

GA, Lincoln County

0.0036%

true

30817

-5

../../../weather/G1301810.epw

GA, Long County

0.0047%

true

31316

-5

../../../weather/G1301830.epw

GA, Lowndes County

0.034%

true

31601

-5

../../../weather/G1301850.epw

GA, Lumpkin County

0.0098%

true

30533

-5

../../../weather/G1301870.epw

GA, Macon County

0.0045%

true

31063

-5

../../../weather/G1301930.epw

GA, Madison County

0.0088%

true

30633

-5

../../../weather/G1301950.epw

GA, Marion County

0.0031%

true

31803

-5

../../../weather/G1301970.epw

GA, McDuffie County

0.0069%

true

30824

-5

../../../weather/G1301890.epw

GA, McIntosh County

0.0069%

true

31331

-5

../../../weather/G1301910.epw

GA, Meriwether County

0.0074%

true

31816

-5

../../../weather/G1301990.epw

GA, Miller County

0.0021%

true

39837

-5

../../../weather/G1302010.epw

GA, Mitchell County

0.0067%

true

31730

-5

../../../weather/G1302050.epw

GA, Monroe County

0.0082%

true

31029

-5

../../../weather/G1302070.epw

GA, Montgomery County

0.0029%

true

30445

-5

../../../weather/G1302090.epw

GA, Morgan County

0.0056%

true

30650

-5

../../../weather/G1302110.epw

GA, Murray County

0.012%

true

30705

-5

../../../weather/G1302130.epw

GA, Muscogee County

0.063%

true

31907

-5

../../../weather/G1302150.epw

GA, Newton County

0.029%

true

30016

-5

../../../weather/G1302170.epw

GA, Oconee County

0.0098%

true

30677

-5

../../../weather/G1302190.epw

GA, Oglethorpe County

0.0048%

true

30683

-5

../../../weather/G1302210.epw

GA, Paulding County

0.04%

true

30132

-5

../../../weather/G1302230.epw

GA, Peach County

0.0084%

true

31030

-5

../../../weather/G1302250.epw

GA, Pickens County

0.01%

true

30143

-5

../../../weather/G1302270.epw

GA, Pierce County

0.0059%

true

31516

-5

../../../weather/G1302290.epw

GA, Pike County

0.0051%

true

30292

-5

../../../weather/G1302310.epw

GA, Polk County

0.013%

true

30125

-5

../../../weather/G1302330.epw

GA, Pulaski County

0.0035%

true

31036

-5

../../../weather/G1302350.epw

GA, Putnam County

0.0095%

true

31024

-5

../../../weather/G1302370.epw

GA, Quitman County

0.0015%

true

39854

-5

../../../weather/G1302390.epw

GA, Rabun County

0.0093%

true

30525

-5

../../../weather/G1302410.epw

GA, Randolph County

0.0027%

true

39840

-5

../../../weather/G1302430.epw

GA, Richmond County

0.065%

true

30909

-5

../../../weather/G1302450.epw

GA, Rockdale County

0.025%

true

30094

-5

../../../weather/G1302470.epw

GA, Schley County

0.0016%

true

31806

-5

../../../weather/G1302490.epw

GA, Screven County

0.005%

true

30467

-5

../../../weather/G1302510.epw

GA, Seminole County

0.0036%

true

39845

-5

../../../weather/G1302530.epw

GA, Spalding County

0.02%

true

30223

-5

../../../weather/G1302550.epw

GA, Stephens County

0.0093%

true

30577

-5

../../../weather/G1302570.epw

GA, Stewart County

0.0017%

true

31825

-5

../../../weather/G1302590.epw

GA, Sumter County

0.01%

true

31709

-5

../../../weather/G1302610.epw

GA, Talbot County

0.0025%

true

31827

-5

../../../weather/G1302630.epw

GA, Taliaferro County

0.00081%

true

30631

-5

../../../weather/G1302650.epw

GA, Tattnall County

0.0074%

true

30427

-5

../../../weather/G1302670.epw

GA, Taylor County

0.0034%

true

31006

-5

../../../weather/G1302690.epw

GA, Telfair County

0.0054%

true

31055

-5

../../../weather/G1302710.epw

GA, Terrell County

0.0031%

true

39842

-5

../../../weather/G1302730.epw

GA, Thomas County

0.015%

true

31792

-5

../../../weather/G1302750.epw

GA, Tift County

0.012%

true

31794

-5

../../../weather/G1302770.epw

GA, Toombs County

0.009%

true

30474

-5

../../../weather/G1302790.epw

GA, Towns County

0.0059%

true

30546

-5

../../../weather/G1302810.epw

GA, Treutlen County

0.0024%

true

30457

-5

../../../weather/G1302830.epw

GA, Troup County

0.021%

true

30241

-5

../../../weather/G1302850.epw

GA, Turner County

0.0029%

true

31714

-5

../../../weather/G1302870.epw

GA, Twiggs County

0.0031%

true

31044

-5

../../../weather/G1302890.epw

GA, Union County

0.011%

true

30512

-5

../../../weather/G1302910.epw

GA, Upson County

0.009%

true

30286

-5

../../../weather/G1302930.epw

GA, Walker County

0.022%

true

30741

-5

../../../weather/G1302950.epw

GA, Walton County

0.024%

true

30052

-5

../../../weather/G1302970.epw

GA, Ware County

0.012%

true

31503

-5

../../../weather/G1302990.epw

GA, Warren County

0.0022%

true

30828

-5

../../../weather/G1303010.epw

GA, Washington County

0.0068%

true

31082

-5

../../../weather/G1303030.epw

GA, Wayne County

0.009%

true

31545

-5

../../../weather/G1303050.epw

GA, Webster County

0.001%

true

31824

-5

../../../weather/G1303070.epw

GA, Wheeler County

0.0019%

true

30428

-5

../../../weather/G1303090.epw

GA, White County

0.012%

true

30528

-5

../../../weather/G1303110.epw

GA, Whitfield County

0.03%

true

30721

-5

../../../weather/G1303130.epw

GA, Wilcox County

0.0026%

true

31001

-5

../../../weather/G1303150.epw

GA, Wilkes County

0.0038%

true

30673

-5

../../../weather/G1303170.epw

GA, Wilkinson County

0.0033%

true

31031

-5

../../../weather/G1303190.epw

GA, Worth County

0.0069%

true

31791

-5

../../../weather/G1303210.epw

HI, Hawaii County

0.064%

true

96721

-10

../../../weather/G1500010.epw

HI, Honolulu County

0.26%

true

96813

-10

../../../weather/G1500030.epw

HI, Kalawao County

7.3e-05%

true

96742

-10

../../../weather/G1500050.epw

HI, Kauai County

0.023%

true

96746

-10

../../../weather/G1500070.epw

HI, Maui County

0.053%

true

96793

-10

../../../weather/G1500090.epw

IA, Adair County

0.0027%

true

50849

-6

../../../weather/G1900010.epw

IA, Adams County

0.0015%

true

50841

-6

../../../weather/G1900030.epw

IA, Allamakee County

0.0057%

true

52172

-6

../../../weather/G1900050.epw

IA, Appanoose County

0.0049%

true

52544

-6

../../../weather/G1900070.epw

IA, Audubon County

0.0022%

true

50025

-6

../../../weather/G1900090.epw

IA, Benton County

0.0083%

true

52349

-6

../../../weather/G1900110.epw

IA, Black Hawk County

0.042%

true

50613

-6

../../../weather/G1900130.epw

IA, Boone County

0.0088%

true

50036

-6

../../../weather/G1900150.epw

IA, Bremer County

0.0076%

true

50677

-6

../../../weather/G1900170.epw

IA, Buchanan County

0.0067%

true

50644

-6

../../../weather/G1900190.epw

IA, Buena Vista County

0.0062%

true

50588

-6

../../../weather/G1900210.epw

IA, Butler County

0.005%

true

50665

-6

../../../weather/G1900230.epw

IA, Calhoun County

0.0038%

true

50563

-6

../../../weather/G1900250.epw

IA, Carroll County

0.007%

true

51401

-6

../../../weather/G1900270.epw

IA, Cass County

0.0049%

true

50022

-6

../../../weather/G1900290.epw

IA, Cedar County

0.006%

true

52772

-6

../../../weather/G1900310.epw

IA, Cerro Gordo County

0.017%

true

50401

-6

../../../weather/G1900330.epw

IA, Cherokee County

0.0043%

true

51012

-6

../../../weather/G1900350.epw

IA, Chickasaw County

0.0042%

true

50659

-6

../../../weather/G1900370.epw

IA, Clarke County

0.0031%

true

50213

-6

../../../weather/G1900390.epw

IA, Clay County

0.006%

true

51301

-6

../../../weather/G1900410.epw

IA, Clayton County

0.0067%

true

52052

-6

../../../weather/G1900430.epw

IA, Clinton County

0.016%

true

52732

-6

../../../weather/G1900450.epw

IA, Crawford County

0.0052%

true

51442

-6

../../../weather/G1900470.epw

IA, Dallas County

0.024%

true

50263

-6

../../../weather/G1900490.epw

IA, Davis County

0.0027%

true

52537

-6

../../../weather/G1900510.epw

IA, Decatur County

0.0029%

true

50144

-6

../../../weather/G1900530.epw

IA, Delaware County

0.006%

true

52057

-6

../../../weather/G1900550.epw

IA, Des Moines County

0.014%

true

52601

-6

../../../weather/G1900570.epw

IA, Dickinson County

0.0099%

true

51360

-6

../../../weather/G1900590.epw

IA, Dubuque County

0.03%

true

52001

-6

../../../weather/G1900610.epw

IA, Emmet County

0.0036%

true

51334

-6

../../../weather/G1900630.epw

IA, Fayette County

0.0071%

true

50662

-6

../../../weather/G1900650.epw

IA, Floyd County

0.0056%

true

50616

-6

../../../weather/G1900670.epw

IA, Franklin County

0.0036%

true

50441

-6

../../../weather/G1900690.epw

IA, Fremont County

0.0026%

true

51652

-6

../../../weather/G1900710.epw

IA, Greene County

0.0034%

true

50129

-6

../../../weather/G1900730.epw

IA, Grundy County

0.0041%

true

50638

-6

../../../weather/G1900750.epw

IA, Guthrie County

0.0043%

true

50216

-6

../../../weather/G1900770.epw

IA, Hamilton County

0.0053%

true

50595

-6

../../../weather/G1900790.epw

IA, Hancock County

0.004%

true

50438

-6

../../../weather/G1900810.epw

IA, Hardin County

0.0061%

true

50126

-6

../../../weather/G1900830.epw

IA, Harrison County

0.005%

true

51555

-6

../../../weather/G1900850.epw

IA, Henry County

0.0062%

true

52641

-6

../../../weather/G1900870.epw

IA, Howard County

0.0032%

true

52136

-6

../../../weather/G1900890.epw

IA, Humboldt County

0.0035%

true

50548

-6

../../../weather/G1900910.epw

IA, Ida County

0.0026%

true

51445

-6

../../../weather/G1900930.epw

IA, Iowa County

0.0054%

true

52361

-6

../../../weather/G1900950.epw

IA, Jackson County

0.007%

true

52060

-6

../../../weather/G1900970.epw

IA, Jasper County

0.012%

true

50208

-6

../../../weather/G1900990.epw

IA, Jefferson County

0.0056%

true

52556

-6

../../../weather/G1901010.epw

IA, Johnson County

0.044%

true

52240

-6

../../../weather/G1901030.epw

IA, Jones County

0.0066%

true

52205

-6

../../../weather/G1901050.epw

IA, Keokuk County

0.0036%

true

52591

-6

../../../weather/G1901070.epw

IA, Kossuth County

0.0056%

true

50511

-6

../../../weather/G1901090.epw

IA, Lee County

0.012%

true

52627

-6

../../../weather/G1901110.epw

IA, Linn County

0.071%

true

52404

-6

../../../weather/G1901130.epw

IA, Louisa County

0.0037%

true

52653

-6

../../../weather/G1901150.epw

IA, Lucas County

0.0031%

true

50049

-6

../../../weather/G1901170.epw

IA, Lyon County

0.0037%

true

51246

-6

../../../weather/G1901190.epw

IA, Madison County

0.005%

true

50273

-6

../../../weather/G1901210.epw

IA, Mahaska County

0.0073%

true

52577

-6

../../../weather/G1901230.epw

IA, Marion County

0.01%

true

50219

-6

../../../weather/G1901250.epw

IA, Marshall County

0.012%

true

50158

-6

../../../weather/G1901270.epw

IA, Mills County

0.0045%

true

51534

-6

../../../weather/G1901290.epw

IA, Mitchell County

0.0037%

true

50461

-6

../../../weather/G1901310.epw

IA, Monona County

0.0035%

true

51040

-6

../../../weather/G1901330.epw

IA, Monroe County

0.0029%

true

52531

-6

../../../weather/G1901350.epw

IA, Montgomery County

0.0039%

true

51566

-6

../../../weather/G1901370.epw

IA, Muscatine County

0.013%

true

52761

-6

../../../weather/G1901390.epw

IA, O’Brien County

0.005%

true

51201

-6

../../../weather/G1901410.epw

IA, Osceola County

0.0022%

true

51249

-6

../../../weather/G1901430.epw

IA, Page County

0.0054%

true

51632

-6

../../../weather/G1901450.epw

IA, Palo Alto County

0.0034%

true

50536

-6

../../../weather/G1901470.epw

IA, Plymouth County

0.0079%

true

51031

-6

../../../weather/G1901490.epw

IA, Pocahontas County

0.0028%

true

50574

-6

../../../weather/G1901510.epw

IA, Polk County

0.14%

true

50023

-6

../../../weather/G1901530.epw

IA, Pottawattamie County

0.029%

true

51503

-6

../../../weather/G1901550.epw

IA, Poweshiek County

0.0067%

true

50112

-6

../../../weather/G1901570.epw

IA, Ringgold County

0.0019%

true

50854

-6

../../../weather/G1901590.epw

IA, Sac County

0.004%

true

50583

-6

../../../weather/G1901610.epw

IA, Scott County

0.055%

true

52722

-6

../../../weather/G1901630.epw

IA, Shelby County

0.0041%

true

51537

-6

../../../weather/G1901650.epw

IA, Sioux County

0.0094%

true

51250

-6

../../../weather/G1901670.epw

IA, Story County

0.028%

true

50010

-6

../../../weather/G1901690.epw

IA, Tama County

0.0058%

true

52339

-6

../../../weather/G1901710.epw

IA, Taylor County

0.0023%

true

50833

-6

../../../weather/G1901730.epw

IA, Union County

0.0044%

true

50801

-6

../../../weather/G1901750.epw

IA, Van Buren County

0.0027%

true

52565

-6

../../../weather/G1901770.epw

IA, Wapello County

0.012%

true

52501

-6

../../../weather/G1901790.epw

IA, Warren County

0.014%

true

50125

-6

../../../weather/G1901810.epw

IA, Washington County

0.0071%

true

52353

-6

../../../weather/G1901830.epw

IA, Wayne County

0.0024%

true

50060

-6

../../../weather/G1901850.epw

IA, Webster County

0.013%

true

50501

-6

../../../weather/G1901870.epw

IA, Winnebago County

0.0039%

true

50436

-6

../../../weather/G1901890.epw

IA, Winneshiek County

0.0066%

true

52101

-6

../../../weather/G1901910.epw

IA, Woodbury County

0.031%

true

51106

-6

../../../weather/G1901930.epw

IA, Worth County

0.0026%

true

50459

-6

../../../weather/G1901950.epw

IA, Wright County

0.0049%

true

50533

-6

../../../weather/G1901970.epw

ID, Ada County

0.13%

true

83646

-7

../../../weather/G1600010.epw

ID, Adams County

0.002%

true

83612

-7

../../../weather/G1600030.epw

ID, Bannock County

0.025%

true

83201

-7

../../../weather/G1600050.epw

ID, Bear Lake County

0.003%

true

83254

-7

../../../weather/G1600070.epw

ID, Benewah County

0.0034%

true

83861

-8

../../../weather/G1600090.epw

ID, Bingham County

0.012%

true

83221

-7

../../../weather/G1600110.epw

ID, Blaine County

0.011%

true

83333

-7

../../../weather/G1600130.epw

ID, Boise County

0.004%

true

83716

-7

../../../weather/G1600150.epw

ID, Bonner County

0.018%

true

83864

-8

../../../weather/G1600170.epw

ID, Bonneville County

0.03%

true

83401

-7

../../../weather/G1600190.epw

ID, Boundary County

0.0039%

true

83805

-8

../../../weather/G1600210.epw

ID, Butte County

0.00096%

true

83213

-7

../../../weather/G1600230.epw

ID, Camas County

0.00061%

true

83327

-7

../../../weather/G1600250.epw

ID, Canyon County

0.053%

true

83686

-7

../../../weather/G1600270.epw

ID, Caribou County

0.0024%

true

83276

-7

../../../weather/G1600290.epw

ID, Cassia County

0.0063%

true

83318

-7

../../../weather/G1600310.epw

ID, Clark County

0.00041%

true

83423

-7

../../../weather/G1600330.epw

ID, Clearwater County

0.0033%

true

83544

-8

../../../weather/G1600350.epw

ID, Custer County

0.0024%

true

83226

-7

../../../weather/G1600370.epw

ID, Elmore County

0.0091%

true

83647

-7

../../../weather/G1600390.epw

ID, Franklin County

0.0035%

true

83263

-7

../../../weather/G1600410.epw

ID, Fremont County

0.0065%

true

83445

-7

../../../weather/G1600430.epw

ID, Gem County

0.0053%

true

83617

-7

../../../weather/G1600450.epw

ID, Gooding County

0.0045%

true

83330

-7

../../../weather/G1600470.epw

ID, Idaho County

0.0065%

true

83530

-8

../../../weather/G1600490.epw

ID, Jefferson County

0.0066%

true

83442

-7

../../../weather/G1600510.epw

ID, Jerome County

0.0061%

true

83338

-7

../../../weather/G1600530.epw

ID, Kootenai County

0.049%

true

83854

-8

../../../weather/G1600550.epw

ID, Latah County

0.012%

true

83843

-8

../../../weather/G1600570.epw

ID, Lemhi County

0.0035%

true

83467

-7

../../../weather/G1600590.epw

ID, Lewis County

0.0014%

true

83536

-8

../../../weather/G1600610.epw

ID, Lincoln County

0.0015%

true

83352

-7

../../../weather/G1600630.epw

ID, Madison County

0.0095%

true

83440

-7

../../../weather/G1600650.epw

ID, Minidoka County

0.0058%

true

83350

-7

../../../weather/G1600670.epw

ID, Nez Perce County

0.013%

true

83501

-8

../../../weather/G1600690.epw

ID, Oneida County

0.0015%

true

83252

-7

../../../weather/G1600710.epw

ID, Owyhee County

0.0036%

true

83628

-7

../../../weather/G1600730.epw

ID, Payette County

0.0068%

true

83661

-7

../../../weather/G1600750.epw

ID, Power County

0.0022%

true

83211

-7

../../../weather/G1600770.epw

ID, Shoshone County

0.0052%

true

83837

-8

../../../weather/G1600790.epw

ID, Teton County

0.0041%

true

83455

-7

../../../weather/G1600810.epw

ID, Twin Falls County

0.024%

true

83301

-7

../../../weather/G1600830.epw

ID, Valley County

0.0089%

true

83638

-7

../../../weather/G1600850.epw

ID, Washington County

0.0034%

true

83672

-7

../../../weather/G1600870.epw

IL, Adams County

0.022%

true

62301

-6

../../../weather/G1700010.epw

IL, Alexander County

0.003%

true

62914

-6

../../../weather/G1700030.epw

IL, Bond County

0.0053%

true

62246

-6

../../../weather/G1700050.epw

IL, Boone County

0.015%

true

61008

-6

../../../weather/G1700070.epw

IL, Brown County

0.0018%

true

62353

-6

../../../weather/G1700090.epw

IL, Bureau County

0.012%

true

61356

-6

../../../weather/G1700110.epw

IL, Calhoun County

0.0021%

true

62047

-6

../../../weather/G1700130.epw

IL, Carroll County

0.0063%

true

61074

-6

../../../weather/G1700150.epw

IL, Cass County

0.0043%

true

62618

-6

../../../weather/G1700170.epw

IL, Champaign County

0.067%

true

61820

-6

../../../weather/G1700190.epw

IL, Christian County

0.012%

true

62568

-6

../../../weather/G1700210.epw

IL, Clark County

0.0058%

true

62441

-6

../../../weather/G1700230.epw

IL, Clay County

0.0047%

true

62839

-6

../../../weather/G1700250.epw

IL, Clinton County

0.012%

true

62231

-6

../../../weather/G1700270.epw

IL, Coles County

0.017%

true

61938

-6

../../../weather/G1700290.epw

IL, Cook County

1.6%

true

60657

-6

../../../weather/G1700310.epw

IL, Crawford County

0.0065%

true

62454

-6

../../../weather/G1700330.epw

IL, Cumberland County

0.0036%

true

62428

-6

../../../weather/G1700350.epw

IL, De Witt County

0.0056%

true

61727

-6

../../../weather/G1700390.epw

IL, DeKalb County

0.031%

true

60115

-6

../../../weather/G1700370.epw

IL, Douglas County

0.0063%

true

61953

-6

../../../weather/G1700410.epw

IL, DuPage County

0.27%

true

60148

-6

../../../weather/G1700430.epw

IL, Edgar County

0.0065%

true

61944

-6

../../../weather/G1700450.epw

IL, Edwards County

0.0024%

true

62806

-6

../../../weather/G1700470.epw

IL, Effingham County

0.011%

true

62401

-6

../../../weather/G1700490.epw

IL, Fayette County

0.0069%

true

62471

-6

../../../weather/G1700510.epw

IL, Ford County

0.0047%

true

60957

-6

../../../weather/G1700530.epw

IL, Franklin County

0.014%

true

62896

-6

../../../weather/G1700550.epw

IL, Fulton County

0.012%

true

61520

-6

../../../weather/G1700570.epw

IL, Gallatin County

0.002%

true

62984

-6

../../../weather/G1700590.epw

IL, Greene County

0.0048%

true

62016

-6

../../../weather/G1700610.epw

IL, Grundy County

0.015%

true

60450

-6

../../../weather/G1700630.epw

IL, Hamilton County

0.003%

true

62859

-6

../../../weather/G1700650.epw

IL, Hancock County

0.0069%

true

62321

-6

../../../weather/G1700670.epw

IL, Hardin County

0.0017%

true

62931

-6

../../../weather/G1700690.epw

IL, Henderson County

0.0029%

true

61469

-6

../../../weather/G1700710.epw

IL, Henry County

0.016%

true

61443

-6

../../../weather/G1700730.epw

IL, Iroquois County

0.01%

true

60970

-6

../../../weather/G1700750.epw

IL, Jackson County

0.021%

true

62901

-6

../../../weather/G1700770.epw

IL, Jasper County

0.0032%

true

62448

-6

../../../weather/G1700790.epw

IL, Jefferson County

0.013%

true

62864

-6

../../../weather/G1700810.epw

IL, Jersey County

0.0075%

true

62052

-6

../../../weather/G1700830.epw

IL, Jo Daviess County

0.01%

true

61036

-6

../../../weather/G1700850.epw

IL, Johnson County

0.0041%

true

62995

-6

../../../weather/G1700870.epw

IL, Kane County

0.14%

true

60506

-6

../../../weather/G1700890.epw

IL, Kankakee County

0.034%

true

60901

-6

../../../weather/G1700910.epw

IL, Kendall County

0.031%

true

60543

-6

../../../weather/G1700930.epw

IL, Knox County

0.018%

true

61401

-6

../../../weather/G1700950.epw

IL, Lake County

0.2%

true

60085

-6

../../../weather/G1700970.epw

IL, LaSalle County

0.037%

true

61350

-6

../../../weather/G1700990.epw

IL, Lawrence County

0.0048%

true

62439

-6

../../../weather/G1701010.epw

IL, Lee County

0.011%

true

61021

-6

../../../weather/G1701030.epw

IL, Livingston County

0.012%

true

61764

-6

../../../weather/G1701050.epw

IL, Logan County

0.0089%

true

62656

-6

../../../weather/G1701070.epw

IL, Macon County

0.038%

true

62521

-6

../../../weather/G1701150.epw

IL, Macoupin County

0.016%

true

62626

-6

../../../weather/G1701170.epw

IL, Madison County

0.088%

true

62040

-6

../../../weather/G1701190.epw

IL, Marion County

0.014%

true

62801

-6

../../../weather/G1701210.epw

IL, Marshall County

0.0044%

true

61540

-6

../../../weather/G1701230.epw

IL, Mason County

0.0052%

true

62644

-6

../../../weather/G1701250.epw

IL, Massac County

0.0053%

true

62960

-6

../../../weather/G1701270.epw

IL, McDonough County

0.011%

true

61455

-6

../../../weather/G1701090.epw

IL, McHenry County

0.087%

true

60014

-6

../../../weather/G1701110.epw

IL, McLean County

0.053%

true

61761

-6

../../../weather/G1701130.epw

IL, Menard County

0.0042%

true

62675

-6

../../../weather/G1701290.epw

IL, Mercer County

0.0055%

true

61231

-6

../../../weather/G1701310.epw

IL, Monroe County

0.01%

true

62298

-6

../../../weather/G1701330.epw

IL, Montgomery County

0.0097%

true

62056

-6

../../../weather/G1701350.epw

IL, Morgan County

0.011%

true

62650

-6

../../../weather/G1701370.epw

IL, Moultrie County

0.0047%

true

61951

-6

../../../weather/G1701390.epw

IL, Ogle County

0.017%

true

61068

-6

../../../weather/G1701410.epw

IL, Peoria County

0.062%

true

61604

-6

../../../weather/G1701430.epw

IL, Perry County

0.0071%

true

62832

-6

../../../weather/G1701450.epw

IL, Piatt County

0.0055%

true

61856

-6

../../../weather/G1701470.epw

IL, Pike County

0.0059%

true

62363

-6

../../../weather/G1701490.epw

IL, Pope County

0.002%

true

62938

-6

../../../weather/G1701510.epw

IL, Pulaski County

0.0023%

true

62964

-6

../../../weather/G1701530.epw

IL, Putnam County

0.0023%

true

61326

-6

../../../weather/G1701550.epw

IL, Randolph County

0.01%

true

62286

-6

../../../weather/G1701570.epw

IL, Richland County

0.0056%

true

62450

-6

../../../weather/G1701590.epw

IL, Rock Island County

0.049%

true

61265

-6

../../../weather/G1701610.epw

IL, Saline County

0.0087%

true

62946

-6

../../../weather/G1701650.epw

IL, Sangamon County

0.068%

true

62704

-6

../../../weather/G1701670.epw

IL, Schuyler County

0.0026%

true

62681

-6

../../../weather/G1701690.epw

IL, Scott County

0.0018%

true

62694

-6

../../../weather/G1701710.epw

IL, Shelby County

0.0078%

true

62565

-6

../../../weather/G1701730.epw

IL, St. Clair County

0.088%

true

62269

-6

../../../weather/G1701630.epw

IL, Stark County

0.002%

true

61491

-6

../../../weather/G1701750.epw

IL, Stephenson County

0.016%

true

61032

-6

../../../weather/G1701770.epw

IL, Tazewell County

0.043%

true

61554

-6

../../../weather/G1701790.epw

IL, Union County

0.0059%

true

62906

-6

../../../weather/G1701810.epw

IL, Vermilion County

0.027%

true

61832

-6

../../../weather/G1701830.epw

IL, Wabash County

0.0041%

true

62863

-6

../../../weather/G1701850.epw

IL, Warren County

0.0057%

true

61462

-6

../../../weather/G1701870.epw

IL, Washington County

0.0049%

true

62263

-6

../../../weather/G1701890.epw

IL, Wayne County

0.0059%

true

62837

-6

../../../weather/G1701910.epw

IL, White County

0.0053%

true

62821

-6

../../../weather/G1701930.epw

IL, Whiteside County

0.019%

true

61081

-6

../../../weather/G1701950.epw

IL, Will County

0.18%

true

60435

-6

../../../weather/G1701970.epw

IL, Williamson County

0.023%

true

62959

-6

../../../weather/G1701990.epw

IL, Winnebago County

0.094%

true

61107

-6

../../../weather/G1702010.epw

IL, Woodford County

0.011%

true

61548

-6

../../../weather/G1702030.epw

IN, Adams County

0.0098%

true

46733

-5

../../../weather/G1800010.epw

IN, Allen County

0.12%

true

46835

-5

../../../weather/G1800030.epw

IN, Bartholomew County

0.025%

true

47201

-5

../../../weather/G1800050.epw

IN, Benton County

0.0029%

true

47944

-5

../../../weather/G1800070.epw

IN, Blackford County

0.0045%

true

47348

-5

../../../weather/G1800090.epw

IN, Boone County

0.019%

true

46077

-5

../../../weather/G1800110.epw

IN, Brown County

0.0063%

true

47448

-5

../../../weather/G1800130.epw

IN, Carroll County

0.0071%

true

46923

-5

../../../weather/G1800150.epw

IN, Cass County

0.012%

true

46947

-5

../../../weather/G1800170.epw

IN, Clark County

0.037%

true

47130

-5

../../../weather/G1800190.epw

IN, Clay County

0.0087%

true

47834

-5

../../../weather/G1800210.epw

IN, Clinton County

0.0099%

true

46041

-5

../../../weather/G1800230.epw

IN, Crawford County

0.0041%

true

47118

-5

../../../weather/G1800250.epw

IN, Daviess County

0.0093%

true

47501

-5

../../../weather/G1800270.epw

IN, Dearborn County

0.015%

true

47025

-5

../../../weather/G1800290.epw

IN, Decatur County

0.0084%

true

47240

-5

../../../weather/G1800310.epw

IN, DeKalb County

0.013%

true

46706

-5

../../../weather/G1800330.epw

IN, Delaware County

0.039%

true

47304

-5

../../../weather/G1800350.epw

IN, Dubois County

0.013%

true

47546

-5

../../../weather/G1800370.epw

IN, Elkhart County

0.058%

true

46514

-5

../../../weather/G1800390.epw

IN, Fayette County

0.0081%

true

47331

-5

../../../weather/G1800410.epw

IN, Floyd County

0.024%

true

47150

-5

../../../weather/G1800430.epw

IN, Fountain County

0.0058%

true

47918

-5

../../../weather/G1800450.epw

IN, Franklin County

0.0071%

true

47012

-5

../../../weather/G1800470.epw

IN, Fulton County

0.0072%

true

46975

-5

../../../weather/G1800490.epw

IN, Gibson County

0.011%

true

47670

-6

../../../weather/G1800510.epw

IN, Grant County

0.023%

true

46953

-5

../../../weather/G1800530.epw

IN, Greene County

0.011%

true

47441

-5

../../../weather/G1800550.epw

IN, Hamilton County

0.087%

true

46032

-5

../../../weather/G1800570.epw

IN, Hancock County

0.022%

true

46140

-5

../../../weather/G1800590.epw

IN, Harrison County

0.012%

true

47112

-5

../../../weather/G1800610.epw

IN, Hendricks County

0.044%

true

46112

-5

../../../weather/G1800630.epw

IN, Henry County

0.016%

true

47362

-5

../../../weather/G1800650.epw

IN, Howard County

0.029%

true

46901

-5

../../../weather/G1800670.epw

IN, Huntington County

0.012%

true

46750

-5

../../../weather/G1800690.epw

IN, Jackson County

0.014%

true

47274

-5

../../../weather/G1800710.epw

IN, Jasper County

0.01%

true

47978

-6

../../../weather/G1800730.epw

IN, Jay County

0.0069%

true

47371

-5

../../../weather/G1800750.epw

IN, Jefferson County

0.011%

true

47250

-5

../../../weather/G1800770.epw

IN, Jennings County

0.009%

true

47265

-5

../../../weather/G1800790.epw

IN, Johnson County

0.044%

true

46143

-5

../../../weather/G1800810.epw

IN, Knox County

0.013%

true

47591

-5

../../../weather/G1800830.epw

IN, Kosciusko County

0.028%

true

46580

-5

../../../weather/G1800850.epw

IN, LaGrange County

0.011%

true

46761

-5

../../../weather/G1800870.epw

IN, Lake County

0.16%

true

46307

-6

../../../weather/G1800890.epw

IN, LaPorte County

0.036%

true

46360

-6

../../../weather/G1800910.epw

IN, Lawrence County

0.016%

true

47421

-5

../../../weather/G1800930.epw

IN, Madison County

0.044%

true

46016

-5

../../../weather/G1800950.epw

IN, Marion County

0.31%

true

46227

-5

../../../weather/G1800970.epw

IN, Marshall County

0.015%

true

46563

-5

../../../weather/G1800990.epw

IN, Martin County

0.0035%

true

47581

-5

../../../weather/G1801010.epw

IN, Miami County

0.011%

true

46970

-5

../../../weather/G1801030.epw

IN, Monroe County

0.045%

true

47401

-5

../../../weather/G1801050.epw

IN, Montgomery County

0.012%

true

47933

-5

../../../weather/G1801070.epw

IN, Morgan County

0.021%

true

46151

-5

../../../weather/G1801090.epw

IN, Newton County

0.0045%

true

46349

-6

../../../weather/G1801110.epw

IN, Noble County

0.015%

true

46755

-5

../../../weather/G1801130.epw

IN, Ohio County

0.0021%

true

47040

-5

../../../weather/G1801150.epw

IN, Orange County

0.0068%

true

47454

-5

../../../weather/G1801170.epw

IN, Owen County

0.0075%

true

47460

-5

../../../weather/G1801190.epw

IN, Parke County

0.006%

true

47872

-5

../../../weather/G1801210.epw

IN, Perry County

0.0064%

true

47586

-6

../../../weather/G1801230.epw

IN, Pike County

0.0043%

true

47567

-5

../../../weather/G1801250.epw

IN, Porter County

0.05%

true

46383

-6

../../../weather/G1801270.epw

IN, Posey County

0.0085%

true

47620

-6

../../../weather/G1801290.epw

IN, Pulaski County

0.0045%

true

46996

-5

../../../weather/G1801310.epw

IN, Putnam County

0.011%

true

46135

-5

../../../weather/G1801330.epw

IN, Randolph County

0.0087%

true

47394

-5

../../../weather/G1801350.epw

IN, Ripley County

0.009%

true

47006

-5

../../../weather/G1801370.epw

IN, Rush County

0.0056%

true

46173

-5

../../../weather/G1801390.epw

IN, Scott County

0.0078%

true

47170

-5

../../../weather/G1801430.epw

IN, Shelby County

0.014%

true

46176

-5

../../../weather/G1801450.epw

IN, Spencer County

0.0067%

true

47635

-6

../../../weather/G1801470.epw

IN, St. Joseph County

0.086%

true

46544

-5

../../../weather/G1801410.epw

IN, Starke County

0.0082%

true

46534

-6

../../../weather/G1801490.epw

IN, Steuben County

0.015%

true

46703

-5

../../../weather/G1801510.epw

IN, Sullivan County

0.0066%

true

47882

-5

../../../weather/G1801530.epw

IN, Switzerland County

0.0038%

true

47043

-5

../../../weather/G1801550.epw

IN, Tippecanoe County

0.055%

true

47906

-5

../../../weather/G1801570.epw

IN, Tipton County

0.0052%

true

46072

-5

../../../weather/G1801590.epw

IN, Union County

0.0024%

true

47353

-5

../../../weather/G1801610.epw

IN, Vanderburgh County

0.062%

true

47714

-6

../../../weather/G1801630.epw

IN, Vermillion County

0.0056%

true

47842

-5

../../../weather/G1801650.epw

IN, Vigo County

0.035%

true

47802

-5

../../../weather/G1801670.epw

IN, Wabash County

0.011%

true

46992

-5

../../../weather/G1801690.epw

IN, Warren County

0.0027%

true

47993

-5

../../../weather/G1801710.epw

IN, Warrick County

0.019%

true

47630

-6

../../../weather/G1801730.epw

IN, Washington County

0.0091%

true

47167

-5

../../../weather/G1801750.epw

IN, Wayne County

0.023%

true

47374

-5

../../../weather/G1801770.epw

IN, Wells County

0.0087%

true

46714

-5

../../../weather/G1801790.epw

IN, White County

0.0097%

true

47960

-5

../../../weather/G1801810.epw

IN, Whitley County

0.011%

true

46725

-5

../../../weather/G1801830.epw

KS, Allen County

0.0047%

true

66749

-6

../../../weather/G2000010.epw

KS, Anderson County

0.0028%

true

66032

-6

../../../weather/G2000030.epw

KS, Atchison County

0.0052%

true

66002

-6

../../../weather/G2000050.epw

KS, Barber County

0.0021%

true

67104

-6

../../../weather/G2000070.epw

KS, Barton County

0.0094%

true

67530

-6

../../../weather/G2000090.epw

KS, Bourbon County

0.0053%

true

66701

-6

../../../weather/G2000110.epw

KS, Brown County

0.0035%

true

66434

-6

../../../weather/G2000130.epw

KS, Butler County

0.02%

true

67042

-6

../../../weather/G2000150.epw

KS, Chase County

0.0011%

true

66845

-6

../../../weather/G2000170.epw

KS, Chautauqua County

0.0016%

true

67361

-6

../../../weather/G2000190.epw

KS, Cherokee County

0.0073%

true

66713

-6

../../../weather/G2000210.epw

KS, Cheyenne County

0.0011%

true

67756

-6

../../../weather/G2000230.epw

KS, Clark County

0.00086%

true

67865

-6

../../../weather/G2000250.epw

KS, Clay County

0.003%

true

67432

-6

../../../weather/G2000270.epw

KS, Cloud County

0.0035%

true

66901

-6

../../../weather/G2000290.epw

KS, Coffey County

0.003%

true

66839

-6

../../../weather/G2000310.epw

KS, Comanche County

0.00075%

true

67029

-6

../../../weather/G2000330.epw

KS, Cowley County

0.012%

true

67005

-6

../../../weather/G2000350.epw

KS, Crawford County

0.013%

true

66762

-6

../../../weather/G2000370.epw

KS, Decatur County

0.0013%

true

67749

-6

../../../weather/G2000390.epw

KS, Dickinson County

0.0068%

true

67410

-6

../../../weather/G2000410.epw

KS, Doniphan County

0.0026%

true

66090

-6

../../../weather/G2000430.epw

KS, Douglas County

0.036%

true

66049

-6

../../../weather/G2000450.epw

KS, Edwards County

0.0012%

true

67547

-6

../../../weather/G2000470.epw

KS, Elk County

0.0013%

true

67349

-6

../../../weather/G2000490.epw

KS, Ellis County

0.0097%

true

67601

-6

../../../weather/G2000510.epw

KS, Ellsworth County

0.0024%

true

67439

-6

../../../weather/G2000530.epw

KS, Finney County

0.0099%

true

67846

-6

../../../weather/G2000550.epw

KS, Ford County

0.009%

true

67801

-6

../../../weather/G2000570.epw

KS, Franklin County

0.0083%

true

66067

-6

../../../weather/G2000590.epw

KS, Geary County

0.011%

true

66441

-6

../../../weather/G2000610.epw

KS, Gove County

0.001%

true

67752

-6

../../../weather/G2000630.epw

KS, Graham County

0.0011%

true

67642

-6

../../../weather/G2000650.epw

KS, Grant County

0.0022%

true

67880

-6

../../../weather/G2000670.epw

KS, Gray County

0.0018%

true

67867

-6

../../../weather/G2000690.epw

KS, Greeley County

0.00046%

true

67879

-7

../../../weather/G2000710.epw

KS, Greenwood County

0.003%

true

67045

-6

../../../weather/G2000730.epw

KS, Hamilton County

0.00082%

true

67878

-7

../../../weather/G2000750.epw

KS, Harper County

0.0024%

true

67003

-6

../../../weather/G2000770.epw

KS, Harvey County

0.011%

true

67114

-6

../../../weather/G2000790.epw

KS, Haskell County

0.0012%

true

67877

-6

../../../weather/G2000810.epw

KS, Hodgeman County

0.00078%

true

67854

-6

../../../weather/G2000830.epw

KS, Jackson County

0.0043%

true

66436

-6

../../../weather/G2000850.epw

KS, Jefferson County

0.0061%

true

66512

-6

../../../weather/G2000870.epw

KS, Jewell County

0.0015%

true

66956

-6

../../../weather/G2000890.epw

KS, Johnson County

0.17%

true

66062

-6

../../../weather/G2000910.epw

KS, Kearny County

0.0012%

true

67860

-6

../../../weather/G2000930.epw

KS, Kingman County

0.0028%

true

67068

-6

../../../weather/G2000950.epw

KS, Kiowa County

0.00091%

true

67054

-6

../../../weather/G2000970.epw

KS, Labette County

0.0075%

true

67357

-6

../../../weather/G2000990.epw

KS, Lane County

0.00073%

true

67839

-6

../../../weather/G2001010.epw

KS, Leavenworth County

0.022%

true

66048

-6

../../../weather/G2001030.epw

KS, Lincoln County

0.0014%

true

67455

-6

../../../weather/G2001050.epw

KS, Linn County

0.0041%

true

66040

-6

../../../weather/G2001070.epw

KS, Logan County

0.0011%

true

67748

-6

../../../weather/G2001090.epw

KS, Lyon County

0.011%

true

66801

-6

../../../weather/G2001110.epw

KS, Marion County

0.0044%

true

67063

-6

../../../weather/G2001150.epw

KS, Marshall County

0.0037%

true

66508

-6

../../../weather/G2001170.epw

KS, McPherson County

0.0096%

true

67460

-6

../../../weather/G2001130.epw

KS, Meade County

0.0015%

true

67864

-6

../../../weather/G2001190.epw

KS, Miami County

0.0099%

true

66071

-6

../../../weather/G2001210.epw

KS, Mitchell County

0.0025%

true

67420

-6

../../../weather/G2001230.epw

KS, Montgomery County

0.012%

true

67301

-6

../../../weather/G2001250.epw

KS, Morris County

0.0024%

true

66846

-6

../../../weather/G2001270.epw

KS, Morton County

0.0011%

true

67950

-6

../../../weather/G2001290.epw

KS, Nemaha County

0.0034%

true

66538

-6

../../../weather/G2001310.epw

KS, Neosho County

0.0057%

true

66720

-6

../../../weather/G2001330.epw

KS, Ness County

0.0013%

true

67560

-6

../../../weather/G2001350.epw

KS, Norton County

0.0019%

true

67654

-6

../../../weather/G2001370.epw

KS, Osage County

0.0056%

true

66523

-6

../../../weather/G2001390.epw

KS, Osborne County

0.0016%

true

67473

-6

../../../weather/G2001410.epw

KS, Ottawa County

0.0021%

true

67467

-6

../../../weather/G2001430.epw

KS, Pawnee County

0.0023%

true

67550

-6

../../../weather/G2001450.epw

KS, Phillips County

0.0023%

true

67661

-6

../../../weather/G2001470.epw

KS, Pottawatomie County

0.0068%

true

66547

-6

../../../weather/G2001490.epw

KS, Pratt County

0.0033%

true

67124

-6

../../../weather/G2001510.epw

KS, Rawlins County

0.0011%

true

67730

-6

../../../weather/G2001530.epw

KS, Reno County

0.021%

true

67501

-6

../../../weather/G2001550.epw

KS, Republic County

0.0022%

true

66935

-6

../../../weather/G2001570.epw

KS, Rice County

0.0034%

true

67554

-6

../../../weather/G2001590.epw

KS, Riley County

0.022%

true

66502

-6

../../../weather/G2001610.epw

KS, Rooks County

0.0021%

true

67663

-6

../../../weather/G2001630.epw

KS, Rush County

0.0013%

true

67548

-6

../../../weather/G2001650.epw

KS, Russell County

0.0029%

true

67665

-6

../../../weather/G2001670.epw

KS, Saline County

0.018%

true

67401

-6

../../../weather/G2001690.epw

KS, Scott County

0.0017%

true

67871

-6

../../../weather/G2001710.epw

KS, Sedgwick County

0.16%

true

67212

-6

../../../weather/G2001730.epw

KS, Seward County

0.0061%

true

67901

-6

../../../weather/G2001750.epw

KS, Shawnee County

0.059%

true

66614

-6

../../../weather/G2001770.epw

KS, Sheridan County

0.00094%

true

67740

-6

../../../weather/G2001790.epw

KS, Sherman County

0.0023%

true

67735

-7

../../../weather/G2001810.epw

KS, Smith County

0.0017%

true

66967

-6

../../../weather/G2001830.epw

KS, Stafford County

0.0017%

true

67576

-6

../../../weather/G2001850.epw

KS, Stanton County

0.00082%

true

67855

-6

../../../weather/G2001870.epw

KS, Stevens County

0.0017%

true

67951

-6

../../../weather/G2001890.epw

KS, Sumner County

0.0081%

true

67152

-6

../../../weather/G2001910.epw

KS, Thomas County

0.0026%

true

67701

-6

../../../weather/G2001930.epw

KS, Trego County

0.0013%

true

67672

-6

../../../weather/G2001950.epw

KS, Wabaunsee County

0.0024%

true

66401

-6

../../../weather/G2001970.epw

KS, Wallace County

0.00059%

true

67758

-7

../../../weather/G2001990.epw

KS, Washington County

0.0022%

true

66968

-6

../../../weather/G2002010.epw

KS, Wichita County

0.00072%

true

67861

-6

../../../weather/G2002030.epw

KS, Wilson County

0.0035%

true

66736

-6

../../../weather/G2002050.epw

KS, Woodson County

0.0015%

true

66783

-6

../../../weather/G2002070.epw

KS, Wyandotte County

0.05%

true

66102

-6

../../../weather/G2002090.epw

KY, Adair County

0.0063%

true

42728

-6

../../../weather/G2100010.epw

KY, Allen County

0.007%

true

42164

-6

../../../weather/G2100030.epw

KY, Anderson County

0.0069%

true

40342

-5

../../../weather/G2100050.epw

KY, Ballard County

0.0029%

true

42053

-6

../../../weather/G2100070.epw

KY, Barren County

0.014%

true

42141

-6

../../../weather/G2100090.epw

KY, Bath County

0.004%

true

40360

-5

../../../weather/G2100110.epw

KY, Bell County

0.0098%

true

40965

-5

../../../weather/G2100130.epw

KY, Boone County

0.036%

true

41042

-5

../../../weather/G2100150.epw

KY, Bourbon County

0.0067%

true

40361

-5

../../../weather/G2100170.epw

KY, Boyd County

0.016%

true

41102

-5

../../../weather/G2100190.epw

KY, Boyle County

0.0092%

true

40422

-5

../../../weather/G2100210.epw

KY, Bracken County

0.0029%

true

41004

-5

../../../weather/G2100230.epw

KY, Breathitt County

0.0046%

true

41339

-5

../../../weather/G2100250.epw

KY, Breckinridge County

0.0079%

true

40143

-6

../../../weather/G2100270.epw

KY, Bullitt County

0.023%

true

40165

-5

../../../weather/G2100290.epw

KY, Butler County

0.0044%

true

42261

-6

../../../weather/G2100310.epw

KY, Caldwell County

0.0047%

true

42445

-6

../../../weather/G2100330.epw

KY, Calloway County

0.014%

true

42071

-6

../../../weather/G2100350.epw

KY, Campbell County

0.03%

true

41071

-5

../../../weather/G2100370.epw

KY, Carlisle County

0.0018%

true

42023

-6

../../../weather/G2100390.epw

KY, Carroll County

0.0035%

true

41008

-5

../../../weather/G2100410.epw

KY, Carter County

0.0092%

true

41143

-5

../../../weather/G2100430.epw

KY, Casey County

0.0055%

true

42539

-5

../../../weather/G2100450.epw

KY, Christian County

0.022%

true

42240

-6

../../../weather/G2100470.epw

KY, Clark County

0.012%

true

40391

-5

../../../weather/G2100490.epw

KY, Clay County

0.0066%

true

40962

-5

../../../weather/G2100510.epw

KY, Clinton County

0.0039%

true

42602

-6

../../../weather/G2100530.epw

KY, Crittenden County

0.0034%

true

42064

-6

../../../weather/G2100550.epw

KY, Cumberland County

0.0027%

true

42717

-6

../../../weather/G2100570.epw

KY, Daviess County

0.032%

true

42301

-6

../../../weather/G2100590.epw

KY, Edmonson County

0.0048%

true

42210

-6

../../../weather/G2100610.epw

KY, Elliott County

0.0025%

true

41171

-5

../../../weather/G2100630.epw

KY, Estill County

0.0051%

true

40336

-5

../../../weather/G2100650.epw

KY, Fayette County

0.1%

true

40509

-5

../../../weather/G2100670.epw

KY, Fleming County

0.0049%

true

41041

-5

../../../weather/G2100690.epw

KY, Floyd County

0.014%

true

41653

-5

../../../weather/G2100710.epw

KY, Franklin County

0.017%

true

40601

-5

../../../weather/G2100730.epw

KY, Fulton County

0.0025%

true

42041

-6

../../../weather/G2100750.epw

KY, Gallatin County

0.0029%

true

41095

-5

../../../weather/G2100770.epw

KY, Garrard County

0.0056%

true

40444

-5

../../../weather/G2100790.epw

KY, Grant County

0.0074%

true

41035

-5

../../../weather/G2100810.epw

KY, Graves County

0.012%

true

42066

-6

../../../weather/G2100830.epw

KY, Grayson County

0.01%

true

42754

-6

../../../weather/G2100850.epw

KY, Green County

0.0039%

true

42743

-6

../../../weather/G2100870.epw

KY, Greenup County

0.012%

true

41144

-5

../../../weather/G2100890.epw

KY, Hancock County

0.0028%

true

42348

-6

../../../weather/G2100910.epw

KY, Hardin County

0.034%

true

42701

-5

../../../weather/G2100930.epw

KY, Harlan County

0.01%

true

40831

-5

../../../weather/G2100950.epw

KY, Harrison County

0.0061%

true

41031

-5

../../../weather/G2100970.epw

KY, Hart County

0.0065%

true

42765

-6

../../../weather/G2100990.epw

KY, Henderson County

0.015%

true

42420

-6

../../../weather/G2101010.epw

KY, Henry County

0.005%

true

40019

-5

../../../weather/G2101030.epw

KY, Hickman County

0.0017%

true

42031

-6

../../../weather/G2101050.epw

KY, Hopkins County

0.016%

true

42431

-6

../../../weather/G2101070.epw

KY, Jackson County

0.0049%

true

40447

-5

../../../weather/G2101090.epw

KY, Jefferson County

0.25%

true

40214

-5

../../../weather/G2101110.epw

KY, Jessamine County

0.015%

true

40356

-5

../../../weather/G2101130.epw

KY, Johnson County

0.0079%

true

41240

-5

../../../weather/G2101150.epw

KY, Kenton County

0.052%

true

41017

-5

../../../weather/G2101170.epw

KY, Knott County

0.0056%

true

41822

-5

../../../weather/G2101190.epw

KY, Knox County

0.011%

true

40906

-5

../../../weather/G2101210.epw

KY, Larue County

0.0047%

true

42748

-5

../../../weather/G2101230.epw

KY, Laurel County

0.019%

true

40741

-5

../../../weather/G2101250.epw

KY, Lawrence County

0.0054%

true

41230

-5

../../../weather/G2101270.epw

KY, Lee County

0.0026%

true

41311

-5

../../../weather/G2101290.epw

KY, Leslie County

0.0039%

true

41749

-5

../../../weather/G2101310.epw

KY, Letcher County

0.0086%

true

41858

-5

../../../weather/G2101330.epw

KY, Lewis County

0.0048%

true

41179

-5

../../../weather/G2101350.epw

KY, Lincoln County

0.0081%

true

40484

-5

../../../weather/G2101370.epw

KY, Livingston County

0.0036%

true

42045

-6

../../../weather/G2101390.epw

KY, Logan County

0.0092%

true

42276

-6

../../../weather/G2101410.epw

KY, Lyon County

0.0036%

true

42038

-6

../../../weather/G2101430.epw

KY, Madison County

0.027%

true

40475

-5

../../../weather/G2101510.epw

KY, Magoffin County

0.0044%

true

41465

-5

../../../weather/G2101530.epw

KY, Marion County

0.0061%

true

40033

-5

../../../weather/G2101550.epw

KY, Marshall County

0.012%

true

42025

-6

../../../weather/G2101570.epw

KY, Martin County

0.0038%

true

41224

-5

../../../weather/G2101590.epw

KY, Mason County

0.0061%

true

41056

-5

../../../weather/G2101610.epw

KY, McCracken County

0.024%

true

42001

-6

../../../weather/G2101450.epw

KY, McCreary County

0.0055%

true

42653

-5

../../../weather/G2101470.epw

KY, McLean County

0.0032%

true

42327

-6

../../../weather/G2101490.epw

KY, Meade County

0.0091%

true

40108

-5

../../../weather/G2101630.epw

KY, Menifee County

0.0029%

true

40322

-5

../../../weather/G2101650.epw

KY, Mercer County

0.0075%

true

40330

-5

../../../weather/G2101670.epw

KY, Metcalfe County

0.0035%

true

42129

-6

../../../weather/G2101690.epw

KY, Monroe County

0.0039%

true

42167

-6

../../../weather/G2101710.epw

KY, Montgomery County

0.0088%

true

40353

-5

../../../weather/G2101730.epw

KY, Morgan County

0.0044%

true

41472

-5

../../../weather/G2101750.epw

KY, Muhlenberg County

0.01%

true

42345

-6

../../../weather/G2101770.epw

KY, Nelson County

0.014%

true

40004

-5

../../../weather/G2101790.epw

KY, Nicholas County

0.0024%

true

40311

-5

../../../weather/G2101810.epw

KY, Ohio County

0.0076%

true

42320

-6

../../../weather/G2101830.epw

KY, Oldham County

0.016%

true

40014

-5

../../../weather/G2101850.epw

KY, Owen County

0.0042%

true

40359

-5

../../../weather/G2101870.epw

KY, Owsley County

0.0016%

true

41314

-5

../../../weather/G2101890.epw

KY, Pendleton County

0.0047%

true

41040

-5

../../../weather/G2101910.epw

KY, Perry County

0.0095%

true

41701

-5

../../../weather/G2101930.epw

KY, Pike County

0.023%

true

41501

-5

../../../weather/G2101950.epw

KY, Powell County

0.0042%

true

40380

-5

../../../weather/G2101970.epw

KY, Pulaski County

0.023%

true

42503

-5

../../../weather/G2101990.epw

KY, Robertson County

0.00086%

true

41064

-5

../../../weather/G2102010.epw

KY, Rockcastle County

0.0057%

true

40456

-5

../../../weather/G2102030.epw

KY, Rowan County

0.0076%

true

40351

-5

../../../weather/G2102050.epw

KY, Russell County

0.0074%

true

42642

-6

../../../weather/G2102070.epw

KY, Scott County

0.015%

true

40324

-5

../../../weather/G2102090.epw

KY, Shelby County

0.013%

true

40065

-5

../../../weather/G2102110.epw

KY, Simpson County

0.0056%

true

42134

-6

../../../weather/G2102130.epw

KY, Spencer County

0.0052%

true

40071

-5

../../../weather/G2102150.epw

KY, Taylor County

0.0082%

true

42718

-5

../../../weather/G2102170.epw

KY, Todd County

0.0039%

true

42220

-6

../../../weather/G2102190.epw

KY, Trigg County

0.0058%

true

42211

-6

../../../weather/G2102210.epw

KY, Trimble County

0.0029%

true

40006

-5

../../../weather/G2102230.epw

KY, Union County

0.0046%

true

42437

-6

../../../weather/G2102250.epw

KY, Warren County

0.037%

true

42101

-6

../../../weather/G2102270.epw

KY, Washington County

0.0038%

true

40069

-5

../../../weather/G2102290.epw

KY, Wayne County

0.0081%

true

42633

-5

../../../weather/G2102310.epw

KY, Webster County

0.0044%

true

42450

-6

../../../weather/G2102330.epw

KY, Whitley County

0.011%

true

40769

-5

../../../weather/G2102350.epw

KY, Wolfe County

0.0027%

true

41301

-5

../../../weather/G2102370.epw

KY, Woodford County

0.0082%

true

40383

-5

../../../weather/G2102390.epw

LA, Acadia Parish

0.019%

true

70526

-6

../../../weather/G2200010.epw

LA, Allen Parish

0.0073%

true

71463

-6

../../../weather/G2200030.epw

LA, Ascension Parish

0.033%

true

70737

-6

../../../weather/G2200050.epw

LA, Assumption Parish

0.0078%

true

70339

-6

../../../weather/G2200070.epw

LA, Avoyelles Parish

0.014%

true

71351

-6

../../../weather/G2200090.epw

LA, Beauregard Parish

0.011%

true

70634

-6

../../../weather/G2200110.epw

LA, Bienville Parish

0.0058%

true

71001

-6

../../../weather/G2200130.epw

LA, Bossier Parish

0.04%

true

71111

-6

../../../weather/G2200150.epw

LA, Caddo Parish

0.084%

true

71106

-6

../../../weather/G2200170.epw

LA, Calcasieu Parish

0.064%

true

70605

-6

../../../weather/G2200190.epw

LA, Caldwell Parish

0.0038%

true

71418

-6

../../../weather/G2200210.epw

LA, Cameron Parish

0.0027%

true

70607

-6

../../../weather/G2200230.epw

LA, Catahoula Parish

0.0037%

true

71343

-6

../../../weather/G2200250.epw

LA, Claiborne Parish

0.0058%

true

71040

-6

../../../weather/G2200270.epw

LA, Concordia Parish

0.007%

true

71334

-6

../../../weather/G2200290.epw

LA, De Soto Parish

0.0093%

true

71052

-6

../../../weather/G2200310.epw

LA, East Baton Rouge Parish

0.14%

true

70816

-6

../../../weather/G2200330.epw

LA, East Carroll Parish

0.0023%

true

71254

-6

../../../weather/G2200350.epw

LA, East Feliciana Parish

0.0061%

true

70722

-6

../../../weather/G2200370.epw

LA, Evangeline Parish

0.011%

true

70586

-6

../../../weather/G2200390.epw

LA, Franklin Parish

0.0068%

true

71295

-6

../../../weather/G2200410.epw

LA, Grant Parish

0.0067%

true

71467

-6

../../../weather/G2200430.epw

LA, Iberia Parish

0.022%

true

70560

-6

../../../weather/G2200450.epw

LA, Iberville Parish

0.0097%

true

70764

-6

../../../weather/G2200470.epw

LA, Jackson Parish

0.0058%

true

71251

-6

../../../weather/G2200490.epw

LA, Jefferson Davis Parish

0.01%

true

70546

-6

../../../weather/G2200530.epw

LA, Jefferson Parish

0.14%

true

70072

-6

../../../weather/G2200510.epw

LA, La Salle Parish

0.0049%

true

71342

-6

../../../weather/G2200590.epw

LA, Lafayette Parish

0.073%

true

70506

-6

../../../weather/G2200550.epw

LA, Lafourche Parish

0.03%

true

70301

-6

../../../weather/G2200570.epw

LA, Lincoln Parish

0.015%

true

71270

-6

../../../weather/G2200610.epw

LA, Livingston Parish

0.04%

true

70726

-6

../../../weather/G2200630.epw

LA, Madison Parish

0.0037%

true

71282

-6

../../../weather/G2200650.epw

LA, Morehouse Parish

0.0093%

true

71220

-6

../../../weather/G2200670.epw

LA, Natchitoches Parish

0.014%

true

71457

-6

../../../weather/G2200690.epw

LA, Orleans Parish

0.14%

true

70119

-6

../../../weather/G2200710.epw

LA, Ouachita Parish

0.049%

true

71203

-6

../../../weather/G2200730.epw

LA, Plaquemines Parish

0.0074%

true

70037

-6

../../../weather/G2200750.epw

LA, Pointe Coupee Parish

0.0084%

true

70760

-6

../../../weather/G2200770.epw

LA, Rapides Parish

0.043%

true

71360

-6

../../../weather/G2200790.epw

LA, Red River Parish

0.0031%

true

71019

-6

../../../weather/G2200810.epw

LA, Richland Parish

0.0066%

true

71269

-6

../../../weather/G2200830.epw

LA, Sabine Parish

0.011%

true

71449

-6

../../../weather/G2200850.epw

LA, St. Bernard Parish

0.013%

true

70043

-6

../../../weather/G2200870.epw

LA, St. Charles Parish

0.015%

true

70070

-6

../../../weather/G2200890.epw

LA, St. Helena Parish

0.0038%

true

70441

-6

../../../weather/G2200910.epw

LA, St. James Parish

0.0065%

true

70090

-6

../../../weather/G2200930.epw

LA, St. John the Baptist Parish

0.013%

true

70068

-6

../../../weather/G2200950.epw

LA, St. Landry Parish

0.027%

true

70570

-6

../../../weather/G2200970.epw

LA, St. Martin Parish

0.017%

true

70517

-6

../../../weather/G2200990.epw

LA, St. Mary Parish

0.017%

true

70380

-6

../../../weather/G2201010.epw

LA, St. Tammany Parish

0.074%

true

70433

-6

../../../weather/G2201030.epw

LA, Tangipahoa Parish

0.039%

true

70454

-6

../../../weather/G2201050.epw

LA, Tensas Parish

0.0025%

true

71366

-6

../../../weather/G2201070.epw

LA, Terrebonne Parish

0.033%

true

70360

-6

../../../weather/G2201090.epw

LA, Union Parish

0.0085%

true

71241

-6

../../../weather/G2201110.epw

LA, Vermilion Parish

0.019%

true

70510

-6

../../../weather/G2201130.epw

LA, Vernon Parish

0.016%

true

71446

-6

../../../weather/G2201150.epw

LA, Washington Parish

0.016%

true

70427

-6

../../../weather/G2201170.epw

LA, Webster Parish

0.014%

true

71055

-6

../../../weather/G2201190.epw

LA, West Baton Rouge Parish

0.0075%

true

70767

-6

../../../weather/G2201210.epw

LA, West Carroll Parish

0.0038%

true

71263

-6

../../../weather/G2201230.epw

LA, West Feliciana Parish

0.0039%

true

70775

-6

../../../weather/G2201250.epw

LA, Winn Parish

0.0054%

true

71483

-6

../../../weather/G2201270.epw

MA, Barnstable County

0.12%

true

02536

-5

../../../weather/G2500010.epw

MA, Berkshire County

0.051%

true

01201

-5

../../../weather/G2500030.epw

MA, Bristol County

0.17%

true

02780

-5

../../../weather/G2500050.epw

MA, Dukes County

0.013%

true

02568

-5

../../../weather/G2500070.epw

MA, Essex County

0.23%

true

01960

-5

../../../weather/G2500090.epw

MA, Franklin County

0.025%

true

01301

-5

../../../weather/G2500110.epw

MA, Hampden County

0.14%

true

01085

-5

../../../weather/G2500130.epw

MA, Hampshire County

0.047%

true

01002

-5

../../../weather/G2500150.epw

MA, Middlesex County

0.46%

true

02148

-5

../../../weather/G2500170.epw

MA, Nantucket County

0.0088%

true

02554

-5

../../../weather/G2500190.epw

MA, Norfolk County

0.2%

true

02169

-5

../../../weather/G2500210.epw

MA, Plymouth County

0.15%

true

02360

-5

../../../weather/G2500230.epw

MA, Suffolk County

0.24%

true

02151

-5

../../../weather/G2500250.epw

MA, Worcester County

0.25%

true

01453

-5

../../../weather/G2500270.epw

MD, Allegany County

0.025%

true

21502

-5

../../../weather/G2400010.epw

MD, Anne Arundel County

0.16%

true

21122

-5

../../../weather/G2400030.epw

MD, Baltimore city

0.22%

true

21215

-5

../../../weather/G2405100.epw

MD, Baltimore County

0.25%

true

21117

-5

../../../weather/G2400050.epw

MD, Calvert County

0.026%

true

20657

-5

../../../weather/G2400090.epw

MD, Caroline County

0.01%

true

21629

-5

../../../weather/G2400110.epw

MD, Carroll County

0.047%

true

21157

-5

../../../weather/G2400130.epw

MD, Cecil County

0.032%

true

21921

-5

../../../weather/G2400150.epw

MD, Charles County

0.043%

true

20603

-5

../../../weather/G2400170.epw

MD, Dorchester County

0.012%

true

21613

-5

../../../weather/G2400190.epw

MD, Frederick County

0.07%

true

21702

-5

../../../weather/G2400210.epw

MD, Garrett County

0.014%

true

21550

-5

../../../weather/G2400230.epw

MD, Harford County

0.073%

true

21014

-5

../../../weather/G2400250.epw

MD, Howard County

0.086%

true

21044

-5

../../../weather/G2400270.epw

MD, Kent County

0.008%

true

21620

-5

../../../weather/G2400290.epw

MD, Montgomery County

0.29%

true

20906

-5

../../../weather/G2400310.epw

MD, Prince George’s County

0.25%

true

20774

-5

../../../weather/G2400330.epw

MD, Queen Anne’s County

0.015%

true

21666

-5

../../../weather/G2400350.epw

MD, Somerset County

0.0084%

true

21853

-5

../../../weather/G2400390.epw

MD, St. Mary’s County

0.032%

true

20653

-5

../../../weather/G2400370.epw

MD, Talbot County

0.015%

true

21601

-5

../../../weather/G2400410.epw

MD, Washington County

0.046%

true

21740

-5

../../../weather/G2400430.epw

MD, Wicomico County

0.031%

true

21804

-5

../../../weather/G2400450.epw

MD, Worcester County

0.042%

true

21842

-5

../../../weather/G2400470.epw

ME, Androscoggin County

0.037%

true

04240

-5

../../../weather/G2300010.epw

ME, Aroostook County

0.029%

true

04769

-5

../../../weather/G2300030.epw

ME, Cumberland County

0.1%

true

04103

-5

../../../weather/G2300050.epw

ME, Franklin County

0.016%

true

04938

-5

../../../weather/G2300070.epw

ME, Hancock County

0.03%

true

04605

-5

../../../weather/G2300090.epw

ME, Kennebec County

0.046%

true

04901

-5

../../../weather/G2300110.epw

ME, Knox County

0.018%

true

04841

-5

../../../weather/G2300130.epw

ME, Lincoln County

0.018%

true

04572

-5

../../../weather/G2300150.epw

ME, Oxford County

0.027%

true

04276

-5

../../../weather/G2300170.epw

ME, Penobscot County

0.055%

true

04401

-5

../../../weather/G2300190.epw

ME, Piscataquis County

0.011%

true

04426

-5

../../../weather/G2300210.epw

ME, Sagadahoc County

0.014%

true

04530

-5

../../../weather/G2300230.epw

ME, Somerset County

0.023%

true

04976

-5

../../../weather/G2300250.epw

ME, Waldo County

0.016%

true

04915

-5

../../../weather/G2300270.epw

ME, Washington County

0.017%

true

04654

-5

../../../weather/G2300290.epw

ME, York County

0.08%

true

04005

-5

../../../weather/G2300310.epw

MI, Alcona County

0.0082%

true

48740

-5

../../../weather/G2600010.epw

MI, Alger County

0.0049%

true

49862

-5

../../../weather/G2600030.epw

MI, Allegan County

0.037%

true

49010

-5

../../../weather/G2600050.epw

MI, Alpena County

0.012%

true

49707

-5

../../../weather/G2600070.epw

MI, Antrim County

0.013%

true

49615

-5

../../../weather/G2600090.epw

MI, Arenac County

0.0073%

true

48658

-5

../../../weather/G2600110.epw

MI, Baraga County

0.0039%

true

49946

-5

../../../weather/G2600130.epw

MI, Barry County

0.02%

true

49058

-5

../../../weather/G2600150.epw

MI, Bay County

0.036%

true

48706

-5

../../../weather/G2600170.epw

MI, Benzie County

0.0092%

true

49635

-5

../../../weather/G2600190.epw

MI, Berrien County

0.057%

true

49022

-5

../../../weather/G2600210.epw

MI, Branch County

0.015%

true

49036

-5

../../../weather/G2600230.epw

MI, Calhoun County

0.045%

true

49015

-5

../../../weather/G2600250.epw

MI, Cass County

0.019%

true

49047

-5

../../../weather/G2600270.epw

MI, Charlevoix County

0.013%

true

49720

-5

../../../weather/G2600290.epw

MI, Cheboygan County

0.014%

true

49721

-5

../../../weather/G2600310.epw

MI, Chippewa County

0.016%

true

49783

-5

../../../weather/G2600330.epw

MI, Clare County

0.017%

true

48625

-5

../../../weather/G2600350.epw

MI, Clinton County

0.023%

true

48820

-5

../../../weather/G2600370.epw

MI, Crawford County

0.0083%

true

49738

-5

../../../weather/G2600390.epw

MI, Delta County

0.015%

true

49829

-5

../../../weather/G2600410.epw

MI, Dickinson County

0.01%

true

49801

-6

../../../weather/G2600430.epw

MI, Eaton County

0.035%

true

48917

-5

../../../weather/G2600450.epw

MI, Emmet County

0.016%

true

49770

-5

../../../weather/G2600470.epw

MI, Genesee County

0.14%

true

48439

-5

../../../weather/G2600490.epw

MI, Gladwin County

0.013%

true

48624

-5

../../../weather/G2600510.epw

MI, Gogebic County

0.008%

true

49938

-6

../../../weather/G2600530.epw

MI, Grand Traverse County

0.032%

true

49686

-5

../../../weather/G2600550.epw

MI, Gratiot County

0.012%

true

48801

-5

../../../weather/G2600570.epw

MI, Hillsdale County

0.016%

true

49242

-5

../../../weather/G2600590.epw

MI, Houghton County

0.014%

true

49931

-5

../../../weather/G2600610.epw

MI, Huron County

0.016%

true

48413

-5

../../../weather/G2600630.epw

MI, Ingham County

0.091%

true

48823

-5

../../../weather/G2600650.epw

MI, Ionia County

0.018%

true

48846

-5

../../../weather/G2600670.epw

MI, Iosco County

0.015%

true

48750

-5

../../../weather/G2600690.epw

MI, Iron County

0.0069%

true

49935

-6

../../../weather/G2600710.epw

MI, Isabella County

0.021%

true

48858

-5

../../../weather/G2600730.epw

MI, Jackson County

0.052%

true

49201

-5

../../../weather/G2600750.epw

MI, Kalamazoo County

0.083%

true

49009

-5

../../../weather/G2600770.epw

MI, Kalkaska County

0.009%

true

49646

-5

../../../weather/G2600790.epw

MI, Kent County

0.19%

true

49503

-5

../../../weather/G2600810.epw

MI, Keweenaw County

0.0018%

true

49950

-5

../../../weather/G2600830.epw

MI, Lake County

0.011%

true

49304

-5

../../../weather/G2600850.epw

MI, Lapeer County

0.027%

true

48446

-5

../../../weather/G2600870.epw

MI, Leelanau County

0.011%

true

49684

-5

../../../weather/G2600890.epw

MI, Lenawee County

0.032%

true

49221

-5

../../../weather/G2600910.epw

MI, Livingston County

0.056%

true

48843

-5

../../../weather/G2600930.epw

MI, Luce County

0.0032%

true

49868

-5

../../../weather/G2600950.epw

MI, Mackinac County

0.0082%

true

49781

-5

../../../weather/G2600970.epw

MI, Macomb County

0.27%

true

48038

-5

../../../weather/G2600990.epw

MI, Manistee County

0.012%

true

49660

-5

../../../weather/G2601010.epw

MI, Marquette County

0.026%

true

49855

-5

../../../weather/G2601030.epw

MI, Mason County

0.013%

true

49431

-5

../../../weather/G2601050.epw

MI, Mecosta County

0.016%

true

49307

-5

../../../weather/G2601070.epw

MI, Menominee County

0.011%

true

49858

-6

../../../weather/G2601090.epw

MI, Midland County

0.027%

true

48642

-5

../../../weather/G2601110.epw

MI, Missaukee County

0.0068%

true

49651

-5

../../../weather/G2601130.epw

MI, Monroe County

0.047%

true

48162

-5

../../../weather/G2601150.epw

MI, Montcalm County

0.021%

true

48838

-5

../../../weather/G2601170.epw

MI, Montmorency County

0.0071%

true

49709

-5

../../../weather/G2601190.epw

MI, Muskegon County

0.055%

true

49442

-5

../../../weather/G2601210.epw

MI, Newaygo County

0.019%

true

49337

-5

../../../weather/G2601230.epw

MI, Oakland County

0.4%

true

48307

-5

../../../weather/G2601250.epw

MI, Oceana County

0.012%

true

49420

-5

../../../weather/G2601270.epw

MI, Ogemaw County

0.012%

true

48661

-5

../../../weather/G2601290.epw

MI, Ontonagon County

0.0042%

true

49953

-5

../../../weather/G2601310.epw

MI, Osceola County

0.01%

true

49631

-5

../../../weather/G2601330.epw

MI, Oscoda County

0.0068%

true

48647

-5

../../../weather/G2601350.epw

MI, Otsego County

0.011%

true

49735

-5

../../../weather/G2601370.epw

MI, Ottawa County

0.078%

true

49424

-5

../../../weather/G2601390.epw

MI, Presque Isle County

0.0078%

true

49779

-5

../../../weather/G2601410.epw

MI, Roscommon County

0.018%

true

48629

-5

../../../weather/G2601430.epw

MI, Saginaw County

0.065%

true

48601

-5

../../../weather/G2601450.epw

MI, Sanilac County

0.017%

true

48450

-5

../../../weather/G2601510.epw

MI, Schoolcraft County

0.0047%

true

49854

-5

../../../weather/G2601530.epw

MI, Shiawassee County

0.022%

true

48867

-5

../../../weather/G2601550.epw

MI, St. Clair County

0.054%

true

48060

-5

../../../weather/G2601470.epw

MI, St. Joseph County

0.021%

true

49091

-5

../../../weather/G2601490.epw

MI, Tuscola County

0.018%

true

48723

-5

../../../weather/G2601570.epw

MI, Van Buren County

0.027%

true

49090

-5

../../../weather/G2601590.epw

MI, Washtenaw County

0.11%

true

48197

-5

../../../weather/G2601610.epw

MI, Wayne County

0.61%

true

48180

-5

../../../weather/G2601630.epw

MI, Wexford County

0.012%

true

49601

-5

../../../weather/G2601650.epw

MN, Aitkin County

0.012%

true

56431

-6

../../../weather/G2700010.epw

MN, Anoka County

0.096%

true

55303

-6

../../../weather/G2700030.epw

MN, Becker County

0.014%

true

56501

-6

../../../weather/G2700050.epw

MN, Beltrami County

0.016%

true

56601

-6

../../../weather/G2700070.epw

MN, Benton County

0.012%

true

56379

-6

../../../weather/G2700090.epw

MN, Big Stone County

0.0023%

true

56278

-6

../../../weather/G2700110.epw

MN, Blue Earth County

0.02%

true

56001

-6

../../../weather/G2700130.epw

MN, Brown County

0.0086%

true

56073

-6

../../../weather/G2700150.epw

MN, Carlton County

0.012%

true

55720

-6

../../../weather/G2700170.epw

MN, Carver County

0.027%

true

55318

-6

../../../weather/G2700190.epw

MN, Cass County

0.019%

true

56474

-6

../../../weather/G2700210.epw

MN, Chippewa County

0.0043%

true

56265

-6

../../../weather/G2700230.epw

MN, Chisago County

0.016%

true

55056

-6

../../../weather/G2700250.epw

MN, Clay County

0.019%

true

56560

-6

../../../weather/G2700270.epw

MN, Clearwater County

0.0036%

true

56621

-6

../../../weather/G2700290.epw

MN, Cook County

0.0043%

true

55604

-6

../../../weather/G2700310.epw

MN, Cottonwood County

0.004%

true

56101

-6

../../../weather/G2700330.epw

MN, Crow Wing County

0.031%

true

56401

-6

../../../weather/G2700350.epw

MN, Dakota County

0.12%

true

55124

-6

../../../weather/G2700370.epw

MN, Dodge County

0.006%

true

55944

-6

../../../weather/G2700390.epw

MN, Douglas County

0.015%

true

56308

-6

../../../weather/G2700410.epw

MN, Faribault County

0.0052%

true

56013

-6

../../../weather/G2700430.epw

MN, Fillmore County

0.0073%

true

55975

-6

../../../weather/G2700450.epw

MN, Freeborn County

0.011%

true

56007

-6

../../../weather/G2700470.epw

MN, Goodhue County

0.015%

true

55066

-6

../../../weather/G2700490.epw

MN, Grant County

0.0025%

true

56531

-6

../../../weather/G2700510.epw

MN, Hennepin County

0.39%

true

55408

-6

../../../weather/G2700530.epw

MN, Houston County

0.0064%

true

55947

-6

../../../weather/G2700550.epw

MN, Hubbard County

0.011%

true

56470

-6

../../../weather/G2700570.epw

MN, Isanti County

0.012%

true

55008

-6

../../../weather/G2700590.epw

MN, Itasca County

0.02%

true

55744

-6

../../../weather/G2700610.epw

MN, Jackson County

0.0037%

true

56143

-6

../../../weather/G2700630.epw

MN, Kanabec County

0.0058%

true

55051

-6

../../../weather/G2700650.epw

MN, Kandiyohi County

0.015%

true

56201

-6

../../../weather/G2700670.epw

MN, Kittson County

0.0019%

true

56728

-6

../../../weather/G2700690.epw

MN, Koochiching County

0.0059%

true

56649

-6

../../../weather/G2700710.epw

MN, Lac qui Parle County

0.0027%

true

56256

-6

../../../weather/G2700730.epw

MN, Lake County

0.0058%

true

55616

-6

../../../weather/G2700750.epw

MN, Lake of the Woods County

0.0027%

true

56623

-6

../../../weather/G2700770.epw

MN, Le Sueur County

0.0093%

true

56058

-6

../../../weather/G2700790.epw

MN, Lincoln County

0.0023%

true

56178

-6

../../../weather/G2700810.epw

MN, Lyon County

0.0083%

true

56258

-6

../../../weather/G2700830.epw

MN, Mahnomen County

0.0021%

true

56557

-6

../../../weather/G2700870.epw

MN, Marshall County

0.0036%

true

56762

-6

../../../weather/G2700890.epw

MN, Martin County

0.0074%

true

56031

-6

../../../weather/G2700910.epw

MN, McLeod County

0.012%

true

55350

-6

../../../weather/G2700850.epw

MN, Meeker County

0.008%

true

55355

-6

../../../weather/G2700930.epw

MN, Mille Lacs County

0.0095%

true

56353

-6

../../../weather/G2700950.epw

MN, Morrison County

0.012%

true

56345

-6

../../../weather/G2700970.epw

MN, Mower County

0.013%

true

55912

-6

../../../weather/G2700990.epw

MN, Murray County

0.0034%

true

56172

-6

../../../weather/G2701010.epw

MN, Nicollet County

0.0098%

true

56003

-6

../../../weather/G2701030.epw

MN, Nobles County

0.0064%

true

56187

-6

../../../weather/G2701050.epw

MN, Norman County

0.0025%

true

56510

-6

../../../weather/G2701070.epw

MN, Olmsted County

0.046%

true

55901

-6

../../../weather/G2701090.epw

MN, Otter Tail County

0.027%

true

56537

-6

../../../weather/G2701110.epw

MN, Pennington County

0.0047%

true

56701

-6

../../../weather/G2701130.epw

MN, Pine County

0.013%

true

55063

-6

../../../weather/G2701150.epw

MN, Pipestone County

0.0033%

true

56164

-6

../../../weather/G2701170.epw

MN, Polk County

0.011%

true

56721

-6

../../../weather/G2701190.epw

MN, Pope County

0.0049%

true

56334

-6

../../../weather/G2701210.epw

MN, Ramsey County

0.16%

true

55106

-6

../../../weather/G2701230.epw

MN, Red Lake County

0.0014%

true

56750

-6

../../../weather/G2701250.epw

MN, Redwood County

0.0054%

true

56283

-6

../../../weather/G2701270.epw

MN, Renville County

0.0054%

true

56277

-6

../../../weather/G2701290.epw

MN, Rice County

0.018%

true

55021

-6

../../../weather/G2701310.epw

MN, Rock County

0.0032%

true

56156

-6

../../../weather/G2701330.epw

MN, Roseau County

0.0056%

true

56751

-6

../../../weather/G2701350.epw

MN, Scott County

0.037%

true

55379

-6

../../../weather/G2701390.epw

MN, Sherburne County

0.025%

true

55330

-6

../../../weather/G2701410.epw

MN, Sibley County

0.0049%

true

55334

-6

../../../weather/G2701430.epw

MN, St. Louis County

0.077%

true

55811

-6

../../../weather/G2701370.epw

MN, Stearns County

0.047%

true

56301

-6

../../../weather/G2701450.epw

MN, Steele County

0.011%

true

55060

-6

../../../weather/G2701470.epw

MN, Stevens County

0.0031%

true

56267

-6

../../../weather/G2701490.epw

MN, Swift County

0.0036%

true

56215

-6

../../../weather/G2701510.epw

MN, Todd County

0.0097%

true

56347

-6

../../../weather/G2701530.epw

MN, Traverse County

0.0015%

true

56296

-6

../../../weather/G2701550.epw

MN, Wabasha County

0.0075%

true

55041

-6

../../../weather/G2701570.epw

MN, Wadena County

0.0052%

true

56482

-6

../../../weather/G2701590.epw

MN, Waseca County

0.0059%

true

56093

-6

../../../weather/G2701610.epw

MN, Washington County

0.071%

true

55125

-6

../../../weather/G2701630.epw

MN, Watonwan County

0.0038%

true

56081

-6

../../../weather/G2701650.epw

MN, Wilkin County

0.0023%

true

56520

-6

../../../weather/G2701670.epw

MN, Winona County

0.016%

true

55987

-6

../../../weather/G2701690.epw

MN, Wright County

0.037%

true

55313

-6

../../../weather/G2701710.epw

MN, Yellow Medicine County

0.0035%

true

56220

-6

../../../weather/G2701730.epw

MO, Adair County

0.0085%

true

63501

-6

../../../weather/G2900010.epw

MO, Andrew County

0.0054%

true

64485

-6

../../../weather/G2900030.epw

MO, Atchison County

0.0022%

true

64491

-6

../../../weather/G2900050.epw

MO, Audrain County

0.0081%

true

65265

-6

../../../weather/G2900070.epw

MO, Barry County

0.013%

true

65625

-6

../../../weather/G2900090.epw

MO, Barton County

0.0042%

true

64759

-6

../../../weather/G2900110.epw

MO, Bates County

0.0058%

true

64730

-6

../../../weather/G2900130.epw

MO, Benton County

0.01%

true

65355

-6

../../../weather/G2900150.epw

MO, Bollinger County

0.0044%

true

63764

-6

../../../weather/G2900170.epw

MO, Boone County

0.055%

true

65203

-6

../../../weather/G2900190.epw

MO, Buchanan County

0.029%

true

64506

-6

../../../weather/G2900210.epw

MO, Butler County

0.015%

true

63901

-6

../../../weather/G2900230.epw

MO, Caldwell County

0.0034%

true

64644

-6

../../../weather/G2900250.epw

MO, Callaway County

0.014%

true

65251

-6

../../../weather/G2900270.epw

MO, Camden County

0.031%

true

65020

-6

../../../weather/G2900290.epw

MO, Cape Girardeau County

0.025%

true

63701

-6

../../../weather/G2900310.epw

MO, Carroll County

0.0034%

true

64633

-6

../../../weather/G2900330.epw

MO, Carter County

0.0024%

true

63965

-6

../../../weather/G2900350.epw

MO, Cass County

0.03%

true

64012

-6

../../../weather/G2900370.epw

MO, Cedar County

0.0054%

true

64744

-6

../../../weather/G2900390.epw

MO, Chariton County

0.0031%

true

65281

-6

../../../weather/G2900410.epw

MO, Christian County

0.024%

true

65714

-6

../../../weather/G2900430.epw

MO, Clark County

0.0026%

true

63445

-6

../../../weather/G2900450.epw

MO, Clay County

0.071%

true

64118

-6

../../../weather/G2900470.epw

MO, Clinton County

0.0066%

true

64429

-6

../../../weather/G2900490.epw

MO, Cole County

0.024%

true

65109

-6

../../../weather/G2900510.epw

MO, Cooper County

0.0056%

true

65233

-6

../../../weather/G2900530.epw

MO, Crawford County

0.0089%

true

65453

-6

../../../weather/G2900550.epw

MO, Dade County

0.0029%

true

65661

-6

../../../weather/G2900570.epw

MO, Dallas County

0.0057%

true

65622

-6

../../../weather/G2900590.epw

MO, Daviess County

0.0031%

true

64640

-6

../../../weather/G2900610.epw

MO, DeKalb County

0.0032%

true

64429

-6

../../../weather/G2900630.epw

MO, Dent County

0.0054%

true

65560

-6

../../../weather/G2900650.epw

MO, Douglas County

0.0048%

true

65608

-6

../../../weather/G2900670.epw

MO, Dunklin County

0.011%

true

63857

-6

../../../weather/G2900690.epw

MO, Franklin County

0.033%

true

63090

-6

../../../weather/G2900710.epw

MO, Gasconade County

0.0061%

true

65066

-6

../../../weather/G2900730.epw

MO, Gentry County

0.0024%

true

64402

-6

../../../weather/G2900750.epw

MO, Greene County

0.096%

true

65807

-6

../../../weather/G2900770.epw

MO, Grundy County

0.0037%

true

64683

-6

../../../weather/G2900790.epw

MO, Harrison County

0.0033%

true

64424

-6

../../../weather/G2900810.epw

MO, Henry County

0.0081%

true

64735

-6

../../../weather/G2900830.epw

MO, Hickory County

0.005%

true

65779

-6

../../../weather/G2900850.epw

MO, Holt County

0.0021%

true

64470

-6

../../../weather/G2900870.epw

MO, Howard County

0.0034%

true

65248

-6

../../../weather/G2900890.epw

MO, Howell County

0.013%

true

65775

-6

../../../weather/G2900910.epw

MO, Iron County

0.0039%

true

63650

-6

../../../weather/G2900930.epw

MO, Jackson County

0.24%

true

64055

-6

../../../weather/G2900950.epw

MO, Jasper County

0.038%

true

64801

-6

../../../weather/G2900970.epw

MO, Jefferson County

0.066%

true

63010

-6

../../../weather/G2900990.epw

MO, Johnson County

0.016%

true

64093

-6

../../../weather/G2901010.epw

MO, Knox County

0.0017%

true

63537

-6

../../../weather/G2901030.epw

MO, Laclede County

0.012%

true

65536

-6

../../../weather/G2901050.epw

MO, Lafayette County

0.011%

true

64076

-6

../../../weather/G2901070.epw

MO, Lawrence County

0.012%

true

65605

-6

../../../weather/G2901090.epw

MO, Lewis County

0.0034%

true

63435

-6

../../../weather/G2901110.epw

MO, Lincoln County

0.016%

true

63379

-6

../../../weather/G2901130.epw

MO, Linn County

0.0048%

true

64628

-6

../../../weather/G2901150.epw

MO, Livingston County

0.005%

true

64601

-6

../../../weather/G2901170.epw

MO, Macon County

0.0057%

true

63552

-6

../../../weather/G2901210.epw

MO, Madison County

0.0044%

true

63645

-6

../../../weather/G2901230.epw

MO, Maries County

0.0034%

true

65582

-6

../../../weather/G2901250.epw

MO, Marion County

0.0096%

true

63401

-6

../../../weather/G2901270.epw

MO, McDonald County

0.0073%

true

64831

-6

../../../weather/G2901190.epw

MO, Mercer County

0.0016%

true

64673

-6

../../../weather/G2901290.epw

MO, Miller County

0.0095%

true

65026

-6

../../../weather/G2901310.epw

MO, Mississippi County

0.0043%

true

63845

-6

../../../weather/G2901330.epw

MO, Moniteau County

0.0046%

true

65018

-6

../../../weather/G2901350.epw

MO, Monroe County

0.0036%

true

65275

-6

../../../weather/G2901370.epw

MO, Montgomery County

0.0046%

true

63361

-6

../../../weather/G2901390.epw

MO, Morgan County

0.011%

true

65037

-6

../../../weather/G2901410.epw

MO, New Madrid County

0.0064%

true

63873

-6

../../../weather/G2901430.epw

MO, Newton County

0.018%

true

64850

-6

../../../weather/G2901450.epw

MO, Nodaway County

0.0072%

true

64468

-6

../../../weather/G2901470.epw

MO, Oregon County

0.0041%

true

65606

-6

../../../weather/G2901490.epw

MO, Osage County

0.0049%

true

65051

-6

../../../weather/G2901510.epw

MO, Ozark County

0.0042%

true

65655

-6

../../../weather/G2901530.epw

MO, Pemiscot County

0.0061%

true

63830

-6

../../../weather/G2901550.epw

MO, Perry County

0.0064%

true

63775

-6

../../../weather/G2901570.epw

MO, Pettis County

0.014%

true

65301

-6

../../../weather/G2901590.epw

MO, Phelps County

0.015%

true

65401

-6

../../../weather/G2901610.epw

MO, Pike County

0.0058%

true

63334

-6

../../../weather/G2901630.epw

MO, Platte County

0.03%

true

64151

-6

../../../weather/G2901650.epw

MO, Polk County

0.01%

true

65613

-6

../../../weather/G2901670.epw

MO, Pulaski County

0.014%

true

65473

-6

../../../weather/G2901690.epw

MO, Putnam County

0.0022%

true

63565

-6

../../../weather/G2901710.epw

MO, Ralls County

0.0038%

true

63459

-6

../../../weather/G2901730.epw

MO, Randolph County

0.008%

true

65270

-6

../../../weather/G2901750.epw

MO, Ray County

0.0074%

true

64085

-6

../../../weather/G2901770.epw

MO, Reynolds County

0.003%

true

63638

-6

../../../weather/G2901790.epw

MO, Ripley County

0.0049%

true

63935

-6

../../../weather/G2901810.epw

MO, Saline County

0.0075%

true

65340

-6

../../../weather/G2901950.epw

MO, Schuyler County

0.0016%

true

63548

-6

../../../weather/G2901970.epw

MO, Scotland County

0.0018%

true

63555

-6

../../../weather/G2901990.epw

MO, Scott County

0.013%

true

63801

-6

../../../weather/G2902010.epw

MO, Shannon County

0.0031%

true

65588

-6

../../../weather/G2902030.epw

MO, Shelby County

0.0024%

true

63468

-6

../../../weather/G2902050.epw

MO, St. Charles County

0.11%

true

63376

-6

../../../weather/G2901830.epw

MO, St. Clair County

0.0042%

true

64776

-6

../../../weather/G2901850.epw

MO, St. Francois County

0.022%

true

63640

-6

../../../weather/G2901870.epw

MO, St. Louis city

0.13%

true

63116

-6

../../../weather/G2905100.epw

MO, St. Louis County

0.33%

true

63021

-6

../../../weather/G2901890.epw

MO, Ste. Genevieve County

0.0064%

true

63670

-6

../../../weather/G2901860.epw

MO, Stoddard County

0.01%

true

63841

-6

../../../weather/G2902070.epw

MO, Stone County

0.015%

true

65737

-6

../../../weather/G2902090.epw

MO, Sullivan County

0.0025%

true

63556

-6

../../../weather/G2902110.epw

MO, Taney County

0.022%

true

65616

-6

../../../weather/G2902130.epw

MO, Texas County

0.0087%

true

65483

-6

../../../weather/G2902150.epw

MO, Vernon County

0.0071%

true

64772

-6

../../../weather/G2902170.epw

MO, Warren County

0.011%

true

63383

-6

../../../weather/G2902190.epw

MO, Washington County

0.0081%

true

63664

-6

../../../weather/G2902210.epw

MO, Wayne County

0.006%

true

63957

-6

../../../weather/G2902230.epw

MO, Webster County

0.011%

true

65706

-6

../../../weather/G2902250.epw

MO, Worth County

0.00095%

true

64456

-6

../../../weather/G2902270.epw

MO, Wright County

0.0065%

true

65711

-6

../../../weather/G2902290.epw

MS, Adams County

0.011%

true

39120

-6

../../../weather/G2800010.epw

MS, Alcorn County

0.013%

true

38834

-6

../../../weather/G2800030.epw

MS, Amite County

0.0049%

true

39645

-6

../../../weather/G2800050.epw

MS, Attala County

0.0068%

true

39090

-6

../../../weather/G2800070.epw

MS, Benton County

0.0031%

true

38603

-6

../../../weather/G2800090.epw

MS, Bolivar County

0.011%

true

38732

-6

../../../weather/G2800110.epw

MS, Calhoun County

0.0052%

true

38916

-6

../../../weather/G2800130.epw

MS, Carroll County

0.0038%

true

38917

-6

../../../weather/G2800150.epw

MS, Chickasaw County

0.0056%

true

38851

-6

../../../weather/G2800170.epw

MS, Choctaw County

0.0031%

true

39735

-6

../../../weather/G2800190.epw

MS, Claiborne County

0.0031%

true

39150

-6

../../../weather/G2800210.epw

MS, Clarke County

0.0059%

true

39355

-6

../../../weather/G2800230.epw

MS, Clay County

0.0069%

true

39773

-6

../../../weather/G2800250.epw

MS, Coahoma County

0.008%

true

38614

-6

../../../weather/G2800270.epw

MS, Copiah County

0.0091%

true

39059

-6

../../../weather/G2800290.epw

MS, Covington County

0.0063%

true

39428

-6

../../../weather/G2800310.epw

MS, DeSoto County

0.048%

true

38654

-6

../../../weather/G2800330.epw

MS, Forrest County

0.024%

true

39401

-6

../../../weather/G2800350.epw

MS, Franklin County

0.0031%

true

39653

-6

../../../weather/G2800370.epw

MS, George County

0.007%

true

39452

-6

../../../weather/G2800390.epw

MS, Greene County

0.0038%

true

39451

-6

../../../weather/G2800410.epw

MS, Grenada County

0.0076%

true

38901

-6

../../../weather/G2800430.epw

MS, Hancock County

0.018%

true

39520

-6

../../../weather/G2800450.epw

MS, Harrison County

0.067%

true

39503

-6

../../../weather/G2800470.epw

MS, Hinds County

0.078%

true

39209

-6

../../../weather/G2800490.epw

MS, Holmes County

0.0063%

true

39095

-6

../../../weather/G2800510.epw

MS, Humphreys County

0.0029%

true

39038

-6

../../../weather/G2800530.epw

MS, Issaquena County

0.00041%

true

39159

-6

../../../weather/G2800550.epw

MS, Itawamba County

0.0076%

true

38843

-6

../../../weather/G2800570.epw

MS, Jackson County

0.046%

true

39564

-6

../../../weather/G2800590.epw

MS, Jasper County

0.0061%

true

39422

-6

../../../weather/G2800610.epw

MS, Jefferson County

0.0027%

true

39069

-6

../../../weather/G2800630.epw

MS, Jefferson Davis County

0.0044%

true

39474

-6

../../../weather/G2800650.epw

MS, Jones County

0.021%

true

39443

-6

../../../weather/G2800670.epw

MS, Kemper County

0.0035%

true

39328

-6

../../../weather/G2800690.epw

MS, Lafayette County

0.018%

true

38655

-6

../../../weather/G2800710.epw

MS, Lamar County

0.018%

true

39402

-6

../../../weather/G2800730.epw

MS, Lauderdale County

0.026%

true

39301

-6

../../../weather/G2800750.epw

MS, Lawrence County

0.0045%

true

39654

-6

../../../weather/G2800770.epw

MS, Leake County

0.007%

true

39051

-6

../../../weather/G2800790.epw

MS, Lee County

0.027%

true

38801

-6

../../../weather/G2800810.epw

MS, Leflore County

0.0098%

true

38930

-6

../../../weather/G2800830.epw

MS, Lincoln County

0.011%

true

39601

-6

../../../weather/G2800850.epw

MS, Lowndes County

0.02%

true

39702

-6

../../../weather/G2800870.epw

MS, Madison County

0.031%

true

39110

-6

../../../weather/G2800890.epw

MS, Marion County

0.0088%

true

39429

-6

../../../weather/G2800910.epw

MS, Marshall County

0.011%

true

38611

-6

../../../weather/G2800930.epw

MS, Monroe County

0.012%

true

38821

-6

../../../weather/G2800950.epw

MS, Montgomery County

0.004%

true

38967

-6

../../../weather/G2800970.epw

MS, Neshoba County

0.0092%

true

39350

-6

../../../weather/G2800990.epw

MS, Newton County

0.007%

true

39345

-6

../../../weather/G2801010.epw

MS, Noxubee County

0.0039%

true

39341

-6

../../../weather/G2801030.epw

MS, Oktibbeha County

0.016%

true

39759

-6

../../../weather/G2801050.epw

MS, Panola County

0.011%

true

38606

-6

../../../weather/G2801070.epw

MS, Pearl River County

0.018%

true

39466

-6

../../../weather/G2801090.epw

MS, Perry County

0.0041%

true

39476

-6

../../../weather/G2801110.epw

MS, Pike County

0.013%

true

39648

-6

../../../weather/G2801130.epw

MS, Pontotoc County

0.0094%

true

38863

-6

../../../weather/G2801150.epw

MS, Prentiss County

0.0083%

true

38829

-6

../../../weather/G2801170.epw

MS, Quitman County

0.0027%

true

38646

-6

../../../weather/G2801190.epw

MS, Rankin County

0.043%

true

39047

-6

../../../weather/G2801210.epw

MS, Scott County

0.0086%

true

39074

-6

../../../weather/G2801230.epw

MS, Sharkey County

0.0016%

true

39159

-6

../../../weather/G2801250.epw

MS, Simpson County

0.0089%

true

39111

-6

../../../weather/G2801270.epw

MS, Smith County

0.0054%

true

39168

-6

../../../weather/G2801290.epw

MS, Stone County

0.0054%

true

39577

-6

../../../weather/G2801310.epw

MS, Sunflower County

0.0072%

true

38751

-6

../../../weather/G2801330.epw

MS, Tallahatchie County

0.0041%

true

38921

-6

../../../weather/G2801350.epw

MS, Tate County

0.0083%

true

38668

-6

../../../weather/G2801370.epw

MS, Tippah County

0.0073%

true

38663

-6

../../../weather/G2801390.epw

MS, Tishomingo County

0.0077%

true

38852

-6

../../../weather/G2801410.epw

MS, Tunica County

0.0036%

true

38676

-6

../../../weather/G2801430.epw

MS, Union County

0.0088%

true

38652

-6

../../../weather/G2801450.epw

MS, Walthall County

0.0053%

true

39667

-6

../../../weather/G2801470.epw

MS, Warren County

0.016%

true

39180

-6

../../../weather/G2801490.epw

MS, Washington County

0.016%

true

38701

-6

../../../weather/G2801510.epw

MS, Wayne County

0.0069%

true

39367

-6

../../../weather/G2801530.epw

MS, Webster County

0.0036%

true

39744

-6

../../../weather/G2801550.epw

MS, Wilkinson County

0.0038%

true

39669

-6

../../../weather/G2801570.epw

MS, Winston County

0.0065%

true

39339

-6

../../../weather/G2801590.epw

MS, Yalobusha County

0.0048%

true

38965

-6

../../../weather/G2801610.epw

MS, Yazoo County

0.0075%

true

39194

-6

../../../weather/G2801630.epw

MT, Beaverhead County

0.0039%

true

59725

-7

../../../weather/G3000010.epw

MT, Big Horn County

0.0035%

true

59034

-7

../../../weather/G3000030.epw

MT, Blaine County

0.0021%

true

59526

-7

../../../weather/G3000050.epw

MT, Broadwater County

0.002%

true

59644

-7

../../../weather/G3000070.epw

MT, Carbon County

0.0048%

true

59068

-7

../../../weather/G3000090.epw

MT, Carter County

0.00059%

true

59324

-7

../../../weather/G3000110.epw

MT, Cascade County

0.028%

true

59405

-7

../../../weather/G3000130.epw

MT, Chouteau County

0.0021%

true

59442

-7

../../../weather/G3000150.epw

MT, Custer County

0.0042%

true

59301

-7

../../../weather/G3000170.epw

MT, Daniels County

0.00085%

true

59263

-7

../../../weather/G3000190.epw

MT, Dawson County

0.0032%

true

59330

-7

../../../weather/G3000210.epw

MT, Deer Lodge County

0.0038%

true

59711

-7

../../../weather/G3000230.epw

MT, Fallon County

0.0011%

true

59313

-7

../../../weather/G3000250.epw

MT, Fergus County

0.0043%

true

59457

-7

../../../weather/G3000270.epw

MT, Flathead County

0.035%

true

59901

-7

../../../weather/G3000290.epw

MT, Gallatin County

0.034%

true

59718

-7

../../../weather/G3000310.epw

MT, Garfield County

0.00063%

true

59337

-7

../../../weather/G3000330.epw

MT, Glacier County

0.004%

true

59427

-7

../../../weather/G3000350.epw

MT, Golden Valley County

0.00034%

true

59074

-7

../../../weather/G3000370.epw

MT, Granite County

0.0021%

true

59858

-7

../../../weather/G3000390.epw

MT, Hill County

0.0054%

true

59501

-7

../../../weather/G3000410.epw

MT, Jefferson County

0.0038%

true

59634

-7

../../../weather/G3000430.epw

MT, Judith Basin County

0.001%

true

59479

-7

../../../weather/G3000450.epw

MT, Lake County

0.012%

true

59860

-7

../../../weather/G3000470.epw

MT, Lewis and Clark County

0.023%

true

59601

-7

../../../weather/G3000490.epw

MT, Liberty County

0.00081%

true

59522

-7

../../../weather/G3000510.epw

MT, Lincoln County

0.0086%

true

59923

-7

../../../weather/G3000530.epw

MT, Madison County

0.0052%

true

59729

-7

../../../weather/G3000570.epw

MT, McCone County

0.00076%

true

59215

-7

../../../weather/G3000550.epw

MT, Meagher County

0.001%

true

59645

-7

../../../weather/G3000590.epw

MT, Mineral County

0.0018%

true

59872

-7

../../../weather/G3000610.epw

MT, Missoula County

0.038%

true

59801

-7

../../../weather/G3000630.epw

MT, Musselshell County

0.002%

true

59072

-7

../../../weather/G3000650.epw

MT, Park County

0.007%

true

59047

-7

../../../weather/G3000670.epw

MT, Petroleum County

0.00024%

true

59087

-7

../../../weather/G3000690.epw

MT, Phillips County

0.0017%

true

59538

-7

../../../weather/G3000710.epw

MT, Pondera County

0.002%

true

59425

-7

../../../weather/G3000730.epw

MT, Powder River County

0.00077%

true

59317

-7

../../../weather/G3000750.epw

MT, Powell County

0.0023%

true

59722

-7

../../../weather/G3000770.epw

MT, Prairie County

0.0005%

true

59349

-7

../../../weather/G3000790.epw

MT, Ravalli County

0.015%

true

59840

-7

../../../weather/G3000810.epw

MT, Richland County

0.0038%

true

59270

-7

../../../weather/G3000830.epw

MT, Roosevelt County

0.003%

true

59201

-7

../../../weather/G3000850.epw

MT, Rosebud County

0.0031%

true

59327

-7

../../../weather/G3000870.epw

MT, Sanders County

0.005%

true

59859

-7

../../../weather/G3000890.epw

MT, Sheridan County

0.0016%

true

59254

-7

../../../weather/G3000910.epw

MT, Silver Bow County

0.013%

true

59701

-7

../../../weather/G3000930.epw

MT, Stillwater County

0.0036%

true

59019

-7

../../../weather/G3000950.epw

MT, Sweet Grass County

0.0015%

true

59011

-7

../../../weather/G3000970.epw

MT, Teton County

0.0021%

true

59422

-7

../../../weather/G3000990.epw

MT, Toole County

0.0018%

true

59474

-7

../../../weather/G3001010.epw

MT, Treasure County

0.00034%

true

59038

-7

../../../weather/G3001030.epw

MT, Valley County

0.0036%

true

59230

-7

../../../weather/G3001050.epw

MT, Wheatland County

0.00097%

true

59036

-7

../../../weather/G3001070.epw

MT, Wibaux County

0.00042%

true

59353

-7

../../../weather/G3001090.epw

MT, Yellowstone County

0.05%

true

59102

-7

../../../weather/G3001110.epw

NC, Alamance County

0.051%

true

27215

-5

../../../weather/G3700010.epw

NC, Alexander County

0.012%

true

28681

-5

../../../weather/G3700030.epw

NC, Alleghany County

0.006%

true

28675

-5

../../../weather/G3700050.epw

NC, Anson County

0.0086%

true

28170

-5

../../../weather/G3700070.epw

NC, Ashe County

0.013%

true

28694

-5

../../../weather/G3700090.epw

NC, Avery County

0.01%

true

28657

-5

../../../weather/G3700110.epw

NC, Beaufort County

0.019%

true

27889

-5

../../../weather/G3700130.epw

NC, Bertie County

0.0073%

true

27983

-5

../../../weather/G3700150.epw

NC, Bladen County

0.013%

true

28337

-5

../../../weather/G3700170.epw

NC, Brunswick County

0.061%

true

28451

-5

../../../weather/G3700190.epw

NC, Buncombe County

0.087%

true

28806

-5

../../../weather/G3700210.epw

NC, Burke County

0.03%

true

28655

-5

../../../weather/G3700230.epw

NC, Cabarrus County

0.056%

true

28027

-5

../../../weather/G3700250.epw

NC, Caldwell County

0.028%

true

28645

-5

../../../weather/G3700270.epw

NC, Camden County

0.0031%

true

27921

-5

../../../weather/G3700290.epw

NC, Carteret County

0.037%

true

28570

-5

../../../weather/G3700310.epw

NC, Caswell County

0.0079%

true

27379

-5

../../../weather/G3700330.epw

NC, Catawba County

0.051%

true

28601

-5

../../../weather/G3700350.epw

NC, Chatham County

0.022%

true

27312

-5

../../../weather/G3700370.epw

NC, Cherokee County

0.013%

true

28906

-5

../../../weather/G3700390.epw

NC, Chowan County

0.0054%

true

27932

-5

../../../weather/G3700410.epw

NC, Clay County

0.0054%

true

28904

-5

../../../weather/G3700430.epw

NC, Cleveland County

0.032%

true

28150

-5

../../../weather/G3700450.epw

NC, Columbus County

0.019%

true

28472

-5

../../../weather/G3700470.epw

NC, Craven County

0.034%

true

28562

-5

../../../weather/G3700490.epw

NC, Cumberland County

0.11%

true

28314

-5

../../../weather/G3700510.epw

NC, Currituck County

0.011%

true

27958

-5

../../../weather/G3700530.epw

NC, Dare County

0.025%

true

27949

-5

../../../weather/G3700550.epw

NC, Davidson County

0.054%

true

27360

-5

../../../weather/G3700570.epw

NC, Davie County

0.014%

true

27028

-5

../../../weather/G3700590.epw

NC, Duplin County

0.019%

true

28466

-5

../../../weather/G3700610.epw

NC, Durham County

0.096%

true

27703

-5

../../../weather/G3700630.epw

NC, Edgecombe County

0.018%

true

27801

-5

../../../weather/G3700650.epw

NC, Forsyth County

0.12%

true

27284

-5

../../../weather/G3700670.epw

NC, Franklin County

0.02%

true

27549

-5

../../../weather/G3700690.epw

NC, Gaston County

0.067%

true

28054

-5

../../../weather/G3700710.epw

NC, Gates County

0.0039%

true

27937

-5

../../../weather/G3700730.epw

NC, Graham County

0.0044%

true

28771

-5

../../../weather/G3700750.epw

NC, Granville County

0.017%

true

27565

-5

../../../weather/G3700770.epw

NC, Greene County

0.0061%

true

28580

-5

../../../weather/G3700790.epw

NC, Guilford County

0.17%

true

27406

-5

../../../weather/G3700810.epw

NC, Halifax County

0.019%

true

27870

-5

../../../weather/G3700830.epw

NC, Harnett County

0.037%

true

27546

-5

../../../weather/G3700850.epw

NC, Haywood County

0.026%

true

28786

-5

../../../weather/G3700870.epw

NC, Henderson County

0.041%

true

28792

-5

../../../weather/G3700890.epw

NC, Hertford County

0.0079%

true

27910

-5

../../../weather/G3700910.epw

NC, Hoke County

0.015%

true

28376

-5

../../../weather/G3700930.epw

NC, Hyde County

0.0025%

true

27824

-5

../../../weather/G3700950.epw

NC, Iredell County

0.053%

true

28117

-5

../../../weather/G3700970.epw

NC, Jackson County

0.02%

true

28779

-5

../../../weather/G3700990.epw

NC, Johnston County

0.052%

true

27520

-5

../../../weather/G3701010.epw

NC, Jones County

0.0036%

true

28585

-5

../../../weather/G3701030.epw

NC, Lee County

0.018%

true

27330

-5

../../../weather/G3701050.epw

NC, Lenoir County

0.02%

true

28501

-5

../../../weather/G3701070.epw

NC, Lincoln County

0.025%

true

28092

-5

../../../weather/G3701090.epw

NC, Macon County

0.019%

true

28734

-5

../../../weather/G3701130.epw

NC, Madison County

0.008%

true

28753

-5

../../../weather/G3701150.epw

NC, Martin County

0.0086%

true

27892

-5

../../../weather/G3701170.epw

NC, McDowell County

0.016%

true

28752

-5

../../../weather/G3701110.epw

NC, Mecklenburg County

0.31%

true

28269

-5

../../../weather/G3701190.epw

NC, Mitchell County

0.0065%

true

28777

-5

../../../weather/G3701210.epw

NC, Montgomery County

0.012%

true

27371

-5

../../../weather/G3701230.epw

NC, Moore County

0.034%

true

28374

-5

../../../weather/G3701250.epw

NC, Nash County

0.032%

true

27804

-5

../../../weather/G3701270.epw

NC, New Hanover County

0.079%

true

28412

-5

../../../weather/G3701290.epw

NC, Northampton County

0.0086%

true

27831

-5

../../../weather/G3701310.epw

NC, Onslow County

0.056%

true

28540

-5

../../../weather/G3701330.epw

NC, Orange County

0.042%

true

27514

-5

../../../weather/G3701350.epw

NC, Pamlico County

0.0057%

true

28571

-5

../../../weather/G3701370.epw

NC, Pasquotank County

0.013%

true

27909

-5

../../../weather/G3701390.epw

NC, Pender County

0.02%

true

28443

-5

../../../weather/G3701410.epw

NC, Perquimans County

0.0052%

true

27944

-5

../../../weather/G3701430.epw

NC, Person County

0.014%

true

27574

-5

../../../weather/G3701450.epw

NC, Pitt County

0.057%

true

27858

-5

../../../weather/G3701470.epw

NC, Polk County

0.0086%

true

28782

-5

../../../weather/G3701490.epw

NC, Randolph County

0.046%

true

27205

-5

../../../weather/G3701510.epw

NC, Richmond County

0.016%

true

28379

-5

../../../weather/G3701530.epw

NC, Robeson County

0.039%

true

28358

-5

../../../weather/G3701550.epw

NC, Rockingham County

0.033%

true

27320

-5

../../../weather/G3701570.epw

NC, Rowan County

0.045%

true

28146

-5

../../../weather/G3701590.epw

NC, Rutherford County

0.025%

true

28043

-5

../../../weather/G3701610.epw

NC, Sampson County

0.02%

true

28328

-5

../../../weather/G3701630.epw

NC, Scotland County

0.011%

true

28352

-5

../../../weather/G3701650.epw

NC, Stanly County

0.02%

true

28001

-5

../../../weather/G3701670.epw

NC, Stokes County

0.016%

true

27021

-5

../../../weather/G3701690.epw

NC, Surry County

0.025%

true

27030

-5

../../../weather/G3701710.epw

NC, Swain County

0.0066%

true

28713

-5

../../../weather/G3701730.epw

NC, Transylvania County

0.014%

true

28712

-5

../../../weather/G3701750.epw

NC, Tyrrell County

0.0015%

true

27925

-5

../../../weather/G3701770.epw

NC, Union County

0.057%

true

28173

-5

../../../weather/G3701790.epw

NC, Vance County

0.015%

true

27537

-5

../../../weather/G3701810.epw

NC, Wake County

0.3%

true

27610

-5

../../../weather/G3701830.epw

NC, Warren County

0.0088%

true

27589

-5

../../../weather/G3701850.epw

NC, Washington County

0.0048%

true

27962

-5

../../../weather/G3701870.epw

NC, Watauga County

0.025%

true

28607

-5

../../../weather/G3701890.epw

NC, Wayne County

0.04%

true

27530

-5

../../../weather/G3701910.epw

NC, Wilkes County

0.025%

true

28659

-5

../../../weather/G3701930.epw

NC, Wilson County

0.027%

true

27893

-5

../../../weather/G3701950.epw

NC, Yadkin County

0.013%

true

27055

-5

../../../weather/G3701970.epw

NC, Yancey County

0.0083%

true

28714

-5

../../../weather/G3701990.epw

ND, Adams County

0.001%

true

58639

-7

../../../weather/G3800010.epw

ND, Barnes County

0.0043%

true

58072

-6

../../../weather/G3800030.epw

ND, Benson County

0.0022%

true

58348

-6

../../../weather/G3800050.epw

ND, Billings County

0.00039%

true

58622

-7

../../../weather/G3800070.epw

ND, Bottineau County

0.0033%

true

58318

-6

../../../weather/G3800090.epw

ND, Bowman County

0.0013%

true

58623

-7

../../../weather/G3800110.epw

ND, Burke County

0.001%

true

58773

-6

../../../weather/G3800130.epw

ND, Burleigh County

0.03%

true

58503

-6

../../../weather/G3800150.epw

ND, Cass County

0.056%

true

58103

-6

../../../weather/G3800170.epw

ND, Cavalier County

0.0017%

true

58249

-6

../../../weather/G3800190.epw

ND, Dickey County

0.002%

true

58474

-6

../../../weather/G3800210.epw

ND, Divide County

0.0011%

true

58730

-6

../../../weather/G3800230.epw

ND, Dunn County

0.0018%

true

58640

-7

../../../weather/G3800250.epw

ND, Eddy County

0.00098%

true

58356

-6

../../../weather/G3800270.epw

ND, Emmons County

0.0016%

true

58552

-6

../../../weather/G3800290.epw

ND, Foster County

0.0013%

true

58421

-6

../../../weather/G3800310.epw

ND, Golden Valley County

0.00075%

true

58621

-7

../../../weather/G3800330.epw

ND, Grand Forks County

0.023%

true

58201

-6

../../../weather/G3800350.epw

ND, Grant County

0.0013%

true

58533

-7

../../../weather/G3800370.epw

ND, Griggs County

0.0011%

true

58425

-6

../../../weather/G3800390.epw

ND, Hettinger County

0.0011%

true

58646

-7

../../../weather/G3800410.epw

ND, Kidder County

0.0013%

true

58482

-6

../../../weather/G3800430.epw

ND, LaMoure County

0.0017%

true

58458

-6

../../../weather/G3800450.epw

ND, Logan County

0.00088%

true

58561

-6

../../../weather/G3800470.epw

ND, McHenry County

0.0023%

true

58790

-6

../../../weather/G3800490.epw

ND, McIntosh County

0.0014%

true

58495

-6

../../../weather/G3800510.epw

ND, McKenzie County

0.0034%

true

58854

-7

../../../weather/G3800530.epw

ND, McLean County

0.0044%

true

58540

-6

../../../weather/G3800550.epw

ND, Mercer County

0.0035%

true

58545

-6

../../../weather/G3800570.epw

ND, Morton County

0.01%

true

58554

-6

../../../weather/G3800590.epw

ND, Mountrail County

0.0035%

true

58763

-6

../../../weather/G3800610.epw

ND, Nelson County

0.0014%

true

58344

-6

../../../weather/G3800630.epw

ND, Oliver County

0.00071%

true

58530

-6

../../../weather/G3800650.epw

ND, Pembina County

0.0029%

true

58220

-6

../../../weather/G3800670.epw

ND, Pierce County

0.0017%

true

58368

-6

../../../weather/G3800690.epw

ND, Ramsey County

0.0043%

true

58301

-6

../../../weather/G3800710.epw

ND, Ransom County

0.002%

true

58054

-6

../../../weather/G3800730.epw

ND, Renville County

0.00095%

true

58761

-6

../../../weather/G3800750.epw

ND, Richland County

0.0057%

true

58075

-6

../../../weather/G3800770.epw

ND, Rolette County

0.0041%

true

58367

-6

../../../weather/G3800790.epw

ND, Sargent County

0.0015%

true

58060

-6

../../../weather/G3800810.epw

ND, Sheridan County

0.00065%

true

58463

-6

../../../weather/G3800830.epw

ND, Sioux County

0.00099%

true

58538

-6

../../../weather/G3800850.epw

ND, Slope County

0.00033%

true

58620

-7

../../../weather/G3800870.epw

ND, Stark County

0.01%

true

58601

-7

../../../weather/G3800890.epw

ND, Steele County

0.00093%

true

58230

-6

../../../weather/G3800910.epw

ND, Stutsman County

0.0075%

true

58401

-6

../../../weather/G3800930.epw

ND, Towner County

0.00099%

true

58324

-6

../../../weather/G3800950.epw

ND, Traill County

0.0028%

true

58257

-6

../../../weather/G3800970.epw

ND, Walsh County

0.0042%

true

58237

-6

../../../weather/G3800990.epw

ND, Ward County

0.023%

true

58701

-6

../../../weather/G3801010.epw

ND, Wells County

0.0019%

true

58341

-6

../../../weather/G3801030.epw

ND, Williams County

0.012%

true

58801

-6

../../../weather/G3801050.epw

NE, Adams County

0.01%

true

68901

-6

../../../weather/G3100010.epw

NE, Antelope County

0.0024%

true

68756

-6

../../../weather/G3100030.epw

NE, Arthur County

0.00019%

true

69121

-7

../../../weather/G3100050.epw

NE, Banner County

0.00029%

true

69345

-7

../../../weather/G3100070.epw

NE, Blaine County

0.00026%

true

68833

-6

../../../weather/G3100090.epw

NE, Boone County

0.002%

true

68620

-6

../../../weather/G3100110.epw

NE, Box Butte County

0.0041%

true

69301

-7

../../../weather/G3100130.epw

NE, Boyd County

0.001%

true

68777

-6

../../../weather/G3100150.epw

NE, Brown County

0.0014%

true

69210

-6

../../../weather/G3100170.epw

NE, Buffalo County

0.015%

true

68845

-6

../../../weather/G3100190.epw

NE, Burt County

0.0026%

true

68061

-6

../../../weather/G3100210.epw

NE, Butler County

0.003%

true

68632

-6

../../../weather/G3100230.epw

NE, Cass County

0.0084%

true

68048

-6

../../../weather/G3100250.epw

NE, Cedar County

0.0031%

true

68739

-6

../../../weather/G3100270.epw

NE, Chase County

0.0014%

true

69033

-7

../../../weather/G3100290.epw

NE, Cherry County

0.0023%

true

69201

-6

../../../weather/G3100310.epw

NE, Cheyenne County

0.0037%

true

69162

-7

../../../weather/G3100330.epw

NE, Clay County

0.0022%

true

68979

-6

../../../weather/G3100350.epw

NE, Colfax County

0.0031%

true

68661

-6

../../../weather/G3100370.epw

NE, Cuming County

0.0031%

true

68788

-6

../../../weather/G3100390.epw

NE, Custer County

0.0042%

true

68822

-6

../../../weather/G3100410.epw

NE, Dakota County

0.0058%

true

68776

-6

../../../weather/G3100430.epw

NE, Dawes County

0.0032%

true

69337

-7

../../../weather/G3100450.epw

NE, Dawson County

0.0076%

true

68850

-6

../../../weather/G3100470.epw

NE, Deuel County

0.00074%

true

69129

-7

../../../weather/G3100490.epw

NE, Dixon County

0.002%

true

68770

-6

../../../weather/G3100510.epw

NE, Dodge County

0.012%

true

68025

-6

../../../weather/G3100530.epw

NE, Douglas County

0.17%

true

68022

-6

../../../weather/G3100550.epw

NE, Dundy County

0.00082%

true

69021

-7

../../../weather/G3100570.epw

NE, Fillmore County

0.0022%

true

68361

-6

../../../weather/G3100590.epw

NE, Franklin County

0.0013%

true

68939

-6

../../../weather/G3100610.epw

NE, Frontier County

0.0011%

true

69025

-6

../../../weather/G3100630.epw

NE, Furnas County

0.002%

true

69022

-6

../../../weather/G3100650.epw

NE, Gage County

0.0078%

true

68310

-6

../../../weather/G3100670.epw

NE, Garden County

0.001%

true

69154

-7

../../../weather/G3100690.epw

NE, Garfield County

0.0009%

true

68823

-6

../../../weather/G3100710.epw

NE, Gosper County

0.00093%

true

68937

-6

../../../weather/G3100730.epw

NE, Grant County

0.00029%

true

69350

-7

../../../weather/G3100750.epw

NE, Greeley County

0.00097%

true

68665

-6

../../../weather/G3100770.epw

NE, Hall County

0.018%

true

68801

-6

../../../weather/G3100790.epw

NE, Hamilton County

0.003%

true

68818

-6

../../../weather/G3100810.epw

NE, Harlan County

0.0018%

true

68920

-6

../../../weather/G3100830.epw

NE, Hayes County

0.00039%

true

69032

-6

../../../weather/G3100850.epw

NE, Hitchcock County

0.0013%

true

69024

-6

../../../weather/G3100870.epw

NE, Holt County

0.0039%

true

68763

-6

../../../weather/G3100890.epw

NE, Hooker County

0.00032%

true

69152

-7

../../../weather/G3100910.epw

NE, Howard County

0.0022%

true

68873

-6

../../../weather/G3100930.epw

NE, Jefferson County

0.0029%

true

68352

-6

../../../weather/G3100950.epw

NE, Johnson County

0.0016%

true

68450

-6

../../../weather/G3100970.epw

NE, Kearney County

0.0022%

true

68959

-6

../../../weather/G3100990.epw

NE, Keith County

0.004%

true

69153

-7

../../../weather/G3101010.epw

NE, Keya Paha County

0.00038%

true

68778

-6

../../../weather/G3101030.epw

NE, Kimball County

0.0015%

true

69145

-7

../../../weather/G3101050.epw

NE, Knox County

0.0036%

true

68718

-6

../../../weather/G3101070.epw

NE, Lancaster County

0.093%

true

68516

-6

../../../weather/G3101090.epw

NE, Lincoln County

0.012%

true

69101

-6

../../../weather/G3101110.epw

NE, Logan County

0.00031%

true

69163

-6

../../../weather/G3101130.epw

NE, Loup County

0.00031%

true

68823

-6

../../../weather/G3101150.epw

NE, Madison County

0.011%

true

68701

-6

../../../weather/G3101190.epw

NE, McPherson County

0.00018%

true

69167

-6

../../../weather/G3101170.epw

NE, Merrick County

0.0028%

true

68826

-6

../../../weather/G3101210.epw

NE, Morrill County

0.0018%

true

69336

-7

../../../weather/G3101230.epw

NE, Nance County

0.0014%

true

68638

-6

../../../weather/G3101250.epw

NE, Nemaha County

0.0026%

true

68305

-6

../../../weather/G3101270.epw

NE, Nuckolls County

0.0018%

true

68978

-6

../../../weather/G3101290.epw

NE, Otoe County

0.0053%

true

68410

-6

../../../weather/G3101310.epw

NE, Pawnee County

0.0012%

true

68420

-6

../../../weather/G3101330.epw

NE, Perkins County

0.0011%

true

69140

-7

../../../weather/G3101350.epw

NE, Phelps County

0.0031%

true

68949

-6

../../../weather/G3101370.epw

NE, Pierce County

0.0024%

true

68767

-6

../../../weather/G3101390.epw

NE, Platte County

0.01%

true

68601

-6

../../../weather/G3101410.epw

NE, Polk County

0.002%

true

68666

-6

../../../weather/G3101430.epw

NE, Red Willow County

0.0039%

true

69001

-6

../../../weather/G3101450.epw

NE, Richardson County

0.0033%

true

68355

-6

../../../weather/G3101470.epw

NE, Rock County

0.00065%

true

68714

-6

../../../weather/G3101490.epw

NE, Saline County

0.0043%

true

68333

-6

../../../weather/G3101510.epw

NE, Sarpy County

0.049%

true

68046

-6

../../../weather/G3101530.epw

NE, Saunders County

0.007%

true

68066

-6

../../../weather/G3101550.epw

NE, Scotts Bluff County

0.012%

true

69361

-7

../../../weather/G3101570.epw

NE, Seward County

0.0052%

true

68434

-6

../../../weather/G3101590.epw

NE, Sheridan County

0.0022%

true

69343

-7

../../../weather/G3101610.epw

NE, Sherman County

0.0014%

true

68853

-6

../../../weather/G3101630.epw

NE, Sioux County

0.00058%

true

69346

-7

../../../weather/G3101650.epw

NE, Stanton County

0.002%

true

68779

-6

../../../weather/G3101670.epw

NE, Thayer County

0.002%

true

68370

-6

../../../weather/G3101690.epw

NE, Thomas County

0.00029%

true

69166

-6

../../../weather/G3101710.epw

NE, Thurston County

0.0018%

true

68071

-6

../../../weather/G3101730.epw

NE, Valley County

0.0017%

true

68862

-6

../../../weather/G3101750.epw

NE, Washington County

0.0063%

true

68008

-6

../../../weather/G3101770.epw

NE, Wayne County

0.0029%

true

68787

-6

../../../weather/G3101790.epw

NE, Webster County

0.0014%

true

68970

-6

../../../weather/G3101810.epw

NE, Wheeler County

0.00041%

true

68637

-6

../../../weather/G3101830.epw

NE, York County

0.0047%

true

68467

-6

../../../weather/G3101850.epw

NH, Belknap County

0.028%

true

03246

-5

../../../weather/G3300010.epw

NH, Carroll County

0.03%

true

03894

-5

../../../weather/G3300030.epw

NH, Cheshire County

0.026%

true

03431

-5

../../../weather/G3300050.epw

NH, Coos County

0.016%

true

03570

-5

../../../weather/G3300070.epw

NH, Grafton County

0.039%

true

03766

-5

../../../weather/G3300090.epw

NH, Hillsborough County

0.13%

true

03103

-5

../../../weather/G3300110.epw

NH, Merrimack County

0.048%

true

03301

-5

../../../weather/G3300130.epw

NH, Rockingham County

0.096%

true

03038

-5

../../../weather/G3300150.epw

NH, Strafford County

0.039%

true

03820

-5

../../../weather/G3300170.epw

NH, Sullivan County

0.017%

true

03743

-5

../../../weather/G3300190.epw

NJ, Atlantic County

0.095%

true

08401

-5

../../../weather/G3400010.epw

NJ, Bergen County

0.26%

true

07410

-5

../../../weather/G3400030.epw

NJ, Burlington County

0.13%

true

08054

-5

../../../weather/G3400050.epw

NJ, Camden County

0.15%

true

08021

-5

../../../weather/G3400070.epw

NJ, Cape May County

0.074%

true

08260

-5

../../../weather/G3400090.epw

NJ, Cumberland County

0.042%

true

08332

-5

../../../weather/G3400110.epw

NJ, Essex County

0.23%

true

07111

-5

../../../weather/G3400130.epw

NJ, Gloucester County

0.084%

true

08096

-5

../../../weather/G3400150.epw

NJ, Hudson County

0.21%

true

07302

-5

../../../weather/G3400170.epw

NJ, Hunterdon County

0.037%

true

08822

-5

../../../weather/G3400190.epw

NJ, Mercer County

0.11%

true

08618

-5

../../../weather/G3400210.epw

NJ, Middlesex County

0.22%

true

08831

-5

../../../weather/G3400230.epw

NJ, Monmouth County

0.19%

true

07728

-5

../../../weather/G3400250.epw

NJ, Morris County

0.14%

true

07960

-5

../../../weather/G3400270.epw

NJ, Ocean County

0.21%

true

08701

-5

../../../weather/G3400290.epw

NJ, Passaic County

0.13%

true

07055

-5

../../../weather/G3400310.epw

NJ, Salem County

0.021%

true

08069

-5

../../../weather/G3400330.epw

NJ, Somerset County

0.093%

true

08873

-5

../../../weather/G3400350.epw

NJ, Sussex County

0.046%

true

07860

-5

../../../weather/G3400370.epw

NJ, Union County

0.15%

true

07083

-5

../../../weather/G3400390.epw

NJ, Warren County

0.034%

true

08865

-5

../../../weather/G3400410.epw

NM, Bernalillo County

0.21%

true

87111

-7

../../../weather/G3500010.epw

NM, Catron County

0.0029%

true

87829

-7

../../../weather/G3500030.epw

NM, Chaves County

0.02%

true

88203

-7

../../../weather/G3500050.epw

NM, Cibola County

0.0083%

true

87020

-7

../../../weather/G3500060.epw

NM, Colfax County

0.0075%

true

87740

-7

../../../weather/G3500070.epw

NM, Curry County

0.015%

true

88101

-7

../../../weather/G3500090.epw

NM, De Baca County

0.00076%

true

88119

-7

../../../weather/G3500110.epw

NM, Dona Ana County

0.063%

true

88001

-7

../../../weather/G3500130.epw

NM, Eddy County

0.017%

true

88220

-7

../../../weather/G3500150.epw

NM, Grant County

0.011%

true

88061

-7

../../../weather/G3500170.epw

NM, Guadalupe County

0.0017%

true

88435

-7

../../../weather/G3500190.epw

NM, Harding County

0.00038%

true

87743

-7

../../../weather/G3500210.epw

NM, Hidalgo County

0.0018%

true

88045

-7

../../../weather/G3500230.epw

NM, Lea County

0.019%

true

88240

-7

../../../weather/G3500250.epw

NM, Lincoln County

0.013%

true

88355

-7

../../../weather/G3500270.epw

NM, Los Alamos County

0.0062%

true

87544

-7

../../../weather/G3500280.epw

NM, Luna County

0.0082%

true

88030

-7

../../../weather/G3500290.epw

NM, McKinley County

0.019%

true

87301

-7

../../../weather/G3500310.epw

NM, Mora County

0.0022%

true

87722

-7

../../../weather/G3500330.epw

NM, Otero County

0.023%

true

88310

-7

../../../weather/G3500350.epw

NM, Quay County

0.0041%

true

88401

-7

../../../weather/G3500370.epw

NM, Rio Arriba County

0.015%

true

87532

-7

../../../weather/G3500390.epw

NM, Roosevelt County

0.0062%

true

88130

-7

../../../weather/G3500410.epw

NM, San Juan County

0.037%

true

87401

-7

../../../weather/G3500450.epw

NM, San Miguel County

0.012%

true

87701

-7

../../../weather/G3500470.epw

NM, Sandoval County

0.04%

true

87124

-7

../../../weather/G3500430.epw

NM, Santa Fe County

0.054%

true

87507

-7

../../../weather/G3500490.epw

NM, Sierra County

0.0062%

true

87901

-7

../../../weather/G3500510.epw

NM, Socorro County

0.006%

true

87801

-7

../../../weather/G3500530.epw

NM, Taos County

0.015%

true

87571

-7

../../../weather/G3500550.epw

NM, Torrance County

0.0058%

true

87035

-7

../../../weather/G3500570.epw

NM, Union County

0.0017%

true

88415

-7

../../../weather/G3500590.epw

NM, Valencia County

0.023%

true

87031

-7

../../../weather/G3500610.epw

NV, Carson City

0.017%

true

89701

-8

../../../weather/G3205100.epw

NV, Churchill County

0.008%

true

89406

-8

../../../weather/G3200010.epw

NV, Clark County

0.64%

true

89052

-8

../../../weather/G3200030.epw

NV, Douglas County

0.018%

true

89460

-8

../../../weather/G3200050.epw

NV, Elko County

0.015%

true

89801

-8

../../../weather/G3200070.epw

NV, Esmeralda County

0.00072%

true

89010

-8

../../../weather/G3200090.epw

NV, Eureka County

0.00085%

true

89316

-8

../../../weather/G3200110.epw

NV, Humboldt County

0.0054%

true

89445

-8

../../../weather/G3200130.epw

NV, Lander County

0.0019%

true

89820

-8

../../../weather/G3200150.epw

NV, Lincoln County

0.0019%

true

89017

-8

../../../weather/G3200170.epw

NV, Lyon County

0.017%

true

89408

-8

../../../weather/G3200190.epw

NV, Mineral County

0.0021%

true

89415

-8

../../../weather/G3200210.epw

NV, Nye County

0.016%

true

89048

-8

../../../weather/G3200230.epw

NV, Pershing County

0.0018%

true

89419

-8

../../../weather/G3200270.epw

NV, Storey County

0.0015%

true

89521

-8

../../../weather/G3200290.epw

NV, Washoe County

0.14%

true

89502

-8

../../../weather/G3200310.epw

NV, White Pine County

0.0033%

true

89301

-8

../../../weather/G3200330.epw

NY, Albany County

0.1%

true

12203

-5

../../../weather/G3600010.epw

NY, Allegany County

0.019%

true

14895

-5

../../../weather/G3600030.epw

NY, Bronx County

0.39%

true

10467

-5

../../../weather/G3600050.epw

NY, Broome County

0.067%

true

13760

-5

../../../weather/G3600070.epw

NY, Cattaraugus County

0.031%

true

14760

-5

../../../weather/G3600090.epw

NY, Cayuga County

0.027%

true

13021

-5

../../../weather/G3600110.epw

NY, Chautauqua County

0.05%

true

14701

-5

../../../weather/G3600130.epw

NY, Chemung County

0.029%

true

14845

-5

../../../weather/G3600150.epw

NY, Chenango County

0.019%

true

13815

-5

../../../weather/G3600170.epw

NY, Clinton County

0.027%

true

12901

-5

../../../weather/G3600190.epw

NY, Columbia County

0.025%

true

12534

-5

../../../weather/G3600210.epw

NY, Cortland County

0.015%

true

13045

-5

../../../weather/G3600230.epw

NY, Delaware County

0.023%

true

13856

-5

../../../weather/G3600250.epw

NY, Dutchess County

0.089%

true

12601

-5

../../../weather/G3600270.epw

NY, Erie County

0.31%

true

14221

-5

../../../weather/G3600290.epw

NY, Essex County

0.019%

true

12946

-5

../../../weather/G3600310.epw

NY, Franklin County

0.019%

true

12953

-5

../../../weather/G3600330.epw

NY, Fulton County

0.021%

true

12078

-5

../../../weather/G3600350.epw

NY, Genesee County

0.019%

true

14020

-5

../../../weather/G3600370.epw

NY, Greene County

0.022%

true

12414

-5

../../../weather/G3600390.epw

NY, Hamilton County

0.0065%

true

12842

-5

../../../weather/G3600410.epw

NY, Herkimer County

0.025%

true

13357

-5

../../../weather/G3600430.epw

NY, Jefferson County

0.044%

true

13601

-5

../../../weather/G3600450.epw

NY, Kings County

0.76%

true

11226

-5

../../../weather/G3600470.epw

NY, Lewis County

0.011%

true

13367

-5

../../../weather/G3600490.epw

NY, Livingston County

0.02%

true

14454

-5

../../../weather/G3600510.epw

NY, Madison County

0.024%

true

13032

-5

../../../weather/G3600530.epw

NY, Monroe County

0.24%

true

14580

-5

../../../weather/G3600550.epw

NY, Montgomery County

0.017%

true

12010

-5

../../../weather/G3600570.epw

NY, Nassau County

0.35%

true

11758

-5

../../../weather/G3600590.epw

NY, New York County

0.65%

true

10025

-5

../../../weather/G3600610.epw

NY, Niagara County

0.074%

true

14094

-5

../../../weather/G3600630.epw

NY, Oneida County

0.078%

true

13440

-5

../../../weather/G3600650.epw

NY, Onondaga County

0.15%

true

13027

-5

../../../weather/G3600670.epw

NY, Ontario County

0.037%

true

14424

-5

../../../weather/G3600690.epw

NY, Orange County

0.1%

true

12550

-5

../../../weather/G3600710.epw

NY, Orleans County

0.014%

true

14411

-5

../../../weather/G3600730.epw

NY, Oswego County

0.04%

true

13126

-5

../../../weather/G3600750.epw

NY, Otsego County

0.023%

true

13820

-5

../../../weather/G3600770.epw

NY, Putnam County

0.029%

true

10512

-5

../../../weather/G3600790.epw

NY, Queens County

0.63%

true

11375

-5

../../../weather/G3600810.epw

NY, Rensselaer County

0.054%

true

12180

-5

../../../weather/G3600830.epw

NY, Richmond County

0.13%

true

10314

-5

../../../weather/G3600850.epw

NY, Rockland County

0.078%

true

10977

-5

../../../weather/G3600870.epw

NY, Saratoga County

0.076%

true

12866

-5

../../../weather/G3600910.epw

NY, Schenectady County

0.051%

true

12306

-5

../../../weather/G3600930.epw

NY, Schoharie County

0.013%

true

12043

-5

../../../weather/G3600950.epw

NY, Schuyler County

0.0071%

true

14891

-5

../../../weather/G3600970.epw

NY, Seneca County

0.012%

true

13148

-5

../../../weather/G3600990.epw

NY, St. Lawrence County

0.039%

true

13676

-5

../../../weather/G3600890.epw

NY, Steuben County

0.036%

true

14830

-5

../../../weather/G3601010.epw

NY, Suffolk County

0.43%

true

11746

-5

../../../weather/G3601030.epw

NY, Sullivan County

0.037%

true

12701

-5

../../../weather/G3601050.epw

NY, Tioga County

0.017%

true

13827

-5

../../../weather/G3601070.epw

NY, Tompkins County

0.031%

true

14850

-5

../../../weather/G3601090.epw

NY, Ulster County

0.062%

true

12401

-5

../../../weather/G3601110.epw

NY, Warren County

0.029%

true

12804

-5

../../../weather/G3601130.epw

NY, Washington County

0.022%

true

12839

-5

../../../weather/G3601150.epw

NY, Wayne County

0.031%

true

14513

-5

../../../weather/G3601170.epw

NY, Westchester County

0.28%

true

10701

-5

../../../weather/G3601190.epw

NY, Wyoming County

0.013%

true

14569

-5

../../../weather/G3601210.epw

NY, Yates County

0.01%

true

14527

-5

../../../weather/G3601230.epw

OH, Adams County

0.0095%

true

45693

-5

../../../weather/G3900010.epw

OH, Allen County

0.033%

true

45805

-5

../../../weather/G3900030.epw

OH, Ashland County

0.016%

true

44805

-5

../../../weather/G3900050.epw

OH, Ashtabula County

0.034%

true

44004

-5

../../../weather/G3900070.epw

OH, Athens County

0.02%

true

45701

-5

../../../weather/G3900090.epw

OH, Auglaize County

0.015%

true

45895

-5

../../../weather/G3900110.epw

OH, Belmont County

0.024%

true

43950

-5

../../../weather/G3900130.epw

OH, Brown County

0.015%

true

45121

-5

../../../weather/G3900150.epw

OH, Butler County

0.11%

true

45011

-5

../../../weather/G3900170.epw

OH, Carroll County

0.01%

true

44615

-5

../../../weather/G3900190.epw

OH, Champaign County

0.012%

true

43078

-5

../../../weather/G3900210.epw

OH, Clark County

0.046%

true

45503

-5

../../../weather/G3900230.epw

OH, Clermont County

0.061%

true

45103

-5

../../../weather/G3900250.epw

OH, Clinton County

0.013%

true

45177

-5

../../../weather/G3900270.epw

OH, Columbiana County

0.035%

true

43920

-5

../../../weather/G3900290.epw

OH, Coshocton County

0.012%

true

43812

-5

../../../weather/G3900310.epw

OH, Crawford County

0.015%

true

44820

-5

../../../weather/G3900330.epw

OH, Cuyahoga County

0.46%

true

44107

-5

../../../weather/G3900350.epw

OH, Darke County

0.017%

true

45331

-5

../../../weather/G3900370.epw

OH, Defiance County

0.012%

true

43512

-5

../../../weather/G3900390.epw

OH, Delaware County

0.052%

true

43015

-5

../../../weather/G3900410.epw

OH, Erie County

0.028%

true

44870

-5

../../../weather/G3900430.epw

OH, Fairfield County

0.044%

true

43130

-5

../../../weather/G3900450.epw

OH, Fayette County

0.0095%

true

43160

-5

../../../weather/G3900470.epw

OH, Franklin County

0.4%

true

43081

-5

../../../weather/G3900490.epw

OH, Fulton County

0.013%

true

43567

-5

../../../weather/G3900510.epw

OH, Gallia County

0.01%

true

45631

-5

../../../weather/G3900530.epw

OH, Geauga County

0.027%

true

44024

-5

../../../weather/G3900550.epw

OH, Greene County

0.052%

true

45324

-5

../../../weather/G3900570.epw

OH, Guernsey County

0.014%

true

43725

-5

../../../weather/G3900590.epw

OH, Hamilton County

0.28%

true

45238

-5

../../../weather/G3900610.epw

OH, Hancock County

0.025%

true

45840

-5

../../../weather/G3900630.epw

OH, Hardin County

0.0098%

true

43326

-5

../../../weather/G3900650.epw

OH, Harrison County

0.006%

true

43907

-5

../../../weather/G3900670.epw

OH, Henry County

0.0089%

true

43545

-5

../../../weather/G3900690.epw

OH, Highland County

0.014%

true

45133

-5

../../../weather/G3900710.epw

OH, Hocking County

0.0099%

true

43138

-5

../../../weather/G3900730.epw

OH, Holmes County

0.01%

true

44654

-5

../../../weather/G3900750.epw

OH, Huron County

0.019%

true

44857

-5

../../../weather/G3900770.epw

OH, Jackson County

0.011%

true

45640

-5

../../../weather/G3900790.epw

OH, Jefferson County

0.024%

true

43952

-5

../../../weather/G3900810.epw

OH, Knox County

0.019%

true

43050

-5

../../../weather/G3900830.epw

OH, Lake County

0.076%

true

44060

-5

../../../weather/G3900850.epw

OH, Lawrence County

0.02%

true

45638

-5

../../../weather/G3900870.epw

OH, Licking County

0.052%

true

43055

-5

../../../weather/G3900890.epw

OH, Logan County

0.017%

true

43311

-5

../../../weather/G3900910.epw

OH, Lorain County

0.096%

true

44035

-5

../../../weather/G3900930.epw

OH, Lucas County

0.15%

true

43615

-5

../../../weather/G3900950.epw

OH, Madison County

0.012%

true

43140

-5

../../../weather/G3900970.epw

OH, Mahoning County

0.083%

true

44512

-5

../../../weather/G3900990.epw

OH, Marion County

0.021%

true

43302

-5

../../../weather/G3901010.epw

OH, Medina County

0.053%

true

44256

-5

../../../weather/G3901030.epw

OH, Meigs County

0.0082%

true

45769

-5

../../../weather/G3901050.epw

OH, Mercer County

0.013%

true

45822

-5

../../../weather/G3901070.epw

OH, Miami County

0.033%

true

45373

-5

../../../weather/G3901090.epw

OH, Monroe County

0.0056%

true

43793

-5

../../../weather/G3901110.epw

OH, Montgomery County

0.19%

true

45424

-5

../../../weather/G3901130.epw

OH, Morgan County

0.0058%

true

43756

-5

../../../weather/G3901150.epw

OH, Morrow County

0.011%

true

43338

-5

../../../weather/G3901170.epw

OH, Muskingum County

0.028%

true

43701

-5

../../../weather/G3901190.epw

OH, Noble County

0.0045%

true

43724

-5

../../../weather/G3901210.epw

OH, Ottawa County

0.021%

true

43452

-5

../../../weather/G3901230.epw

OH, Paulding County

0.0065%

true

45879

-5

../../../weather/G3901250.epw

OH, Perry County

0.011%

true

43764

-5

../../../weather/G3901270.epw

OH, Pickaway County

0.016%

true

43113

-5

../../../weather/G3901290.epw

OH, Pike County

0.0093%

true

45690

-5

../../../weather/G3901310.epw

OH, Portage County

0.051%

true

44240

-5

../../../weather/G3901330.epw

OH, Preble County

0.013%

true

45320

-5

../../../weather/G3901350.epw

OH, Putnam County

0.01%

true

45875

-5

../../../weather/G3901370.epw

OH, Richland County

0.04%

true

44903

-5

../../../weather/G3901390.epw

OH, Ross County

0.024%

true

45601

-5

../../../weather/G3901410.epw

OH, Sandusky County

0.02%

true

43420

-5

../../../weather/G3901430.epw

OH, Scioto County

0.025%

true

45662

-5

../../../weather/G3901450.epw

OH, Seneca County

0.018%

true

44883

-5

../../../weather/G3901470.epw

OH, Shelby County

0.015%

true

45365

-5

../../../weather/G3901490.epw

OH, Stark County

0.12%

true

44646

-5

../../../weather/G3901510.epw

OH, Summit County

0.18%

true

44224

-5

../../../weather/G3901530.epw

OH, Trumbull County

0.071%

true

44483

-5

../../../weather/G3901550.epw

OH, Tuscarawas County

0.03%

true

44663

-5

../../../weather/G3901570.epw

OH, Union County

0.015%

true

43040

-5

../../../weather/G3901590.epw

OH, Van Wert County

0.0094%

true

45891

-5

../../../weather/G3901610.epw

OH, Vinton County

0.0046%

true

45651

-5

../../../weather/G3901630.epw

OH, Warren County

0.062%

true

45040

-5

../../../weather/G3901650.epw

OH, Washington County

0.021%

true

45750

-5

../../../weather/G3901670.epw

OH, Wayne County

0.034%

true

44691

-5

../../../weather/G3901690.epw

OH, Williams County

0.012%

true

43506

-5

../../../weather/G3901710.epw

OH, Wood County

0.04%

true

43551

-5

../../../weather/G3901730.epw

OH, Wyandot County

0.0074%

true

43351

-5

../../../weather/G3901750.epw

OK, Adair County

0.0069%

true

74960

-6

../../../weather/G4000010.epw

OK, Alfalfa County

0.002%

true

73728

-6

../../../weather/G4000030.epw

OK, Atoka County

0.0047%

true

74525

-6

../../../weather/G4000050.epw

OK, Beaver County

0.002%

true

73932

-6

../../../weather/G4000070.epw

OK, Beckham County

0.0074%

true

73644

-6

../../../weather/G4000090.epw

OK, Blaine County

0.0036%

true

73772

-6

../../../weather/G4000110.epw

OK, Bryan County

0.015%

true

74701

-6

../../../weather/G4000130.epw

OK, Caddo County

0.0099%

true

73005

-6

../../../weather/G4000150.epw

OK, Canadian County

0.035%

true

73099

-6

../../../weather/G4000170.epw

OK, Carter County

0.016%

true

73401

-6

../../../weather/G4000190.epw

OK, Cherokee County

0.016%

true

74464

-6

../../../weather/G4000210.epw

OK, Choctaw County

0.0056%

true

74743

-6

../../../weather/G4000230.epw

OK, Cimarron County

0.0012%

true

73933

-6

../../../weather/G4000250.epw

OK, Cleveland County

0.082%

true

73160

-6

../../../weather/G4000270.epw

OK, Coal County

0.0021%

true

74538

-6

../../../weather/G4000290.epw

OK, Comanche County

0.038%

true

73505

-6

../../../weather/G4000310.epw

OK, Cotton County

0.0022%

true

73572

-6

../../../weather/G4000330.epw

OK, Craig County

0.005%

true

74301

-6

../../../weather/G4000350.epw

OK, Creek County

0.022%

true

74066

-6

../../../weather/G4000370.epw

OK, Custer County

0.0093%

true

73096

-6

../../../weather/G4000390.epw

OK, Delaware County

0.019%

true

74344

-6

../../../weather/G4000410.epw

OK, Dewey County

0.0018%

true

73859

-6

../../../weather/G4000430.epw

OK, Ellis County

0.0017%

true

73858

-6

../../../weather/G4000450.epw

OK, Garfield County

0.02%

true

73703

-6

../../../weather/G4000470.epw

OK, Garvin County

0.0096%

true

73075

-6

../../../weather/G4000490.epw

OK, Grady County

0.017%

true

73018

-6

../../../weather/G4000510.epw

OK, Grant County

0.0018%

true

73759

-6

../../../weather/G4000530.epw

OK, Greer County

0.002%

true

73554

-6

../../../weather/G4000550.epw

OK, Harmon County

0.0011%

true

73550

-6

../../../weather/G4000570.epw

OK, Harper County

0.0014%

true

73848

-6

../../../weather/G4000590.epw

OK, Haskell County

0.0045%

true

74462

-6

../../../weather/G4000610.epw

OK, Hughes County

0.0047%

true

74848

-6

../../../weather/G4000630.epw

OK, Jackson County

0.0091%

true

73521

-6

../../../weather/G4000650.epw

OK, Jefferson County

0.0025%

true

73573

-6

../../../weather/G4000670.epw

OK, Johnston County

0.0038%

true

73460

-6

../../../weather/G4000690.epw

OK, Kay County

0.016%

true

74601

-6

../../../weather/G4000710.epw

OK, Kingfisher County

0.0048%

true

73750

-6

../../../weather/G4000730.epw

OK, Kiowa County

0.0039%

true

73651

-6

../../../weather/G4000750.epw

OK, Latimer County

0.0037%

true

74578

-6

../../../weather/G4000770.epw

OK, Le Flore County

0.016%

true

74953

-6

../../../weather/G4000790.epw

OK, Lincoln County

0.011%

true

74834

-6

../../../weather/G4000810.epw

OK, Logan County

0.013%

true

73044

-6

../../../weather/G4000830.epw

OK, Love County

0.0034%

true

73448

-6

../../../weather/G4000850.epw

OK, Major County

0.0027%

true

73737

-6

../../../weather/G4000930.epw

OK, Marshall County

0.0075%

true

73439

-6

../../../weather/G4000950.epw

OK, Mayes County

0.014%

true

74361

-6

../../../weather/G4000970.epw

OK, McClain County

0.011%

true

73080

-6

../../../weather/G4000870.epw

OK, McCurtain County

0.012%

true

74728

-6

../../../weather/G4000890.epw

OK, McIntosh County

0.01%

true

74432

-6

../../../weather/G4000910.epw

OK, Murray County

0.0051%

true

73086

-6

../../../weather/G4000990.epw

OK, Muskogee County

0.023%

true

74403

-6

../../../weather/G4001010.epw

OK, Noble County

0.004%

true

73077

-6

../../../weather/G4001030.epw

OK, Nowata County

0.0036%

true

74048

-6

../../../weather/G4001050.epw

OK, Okfuskee County

0.004%

true

74859

-6

../../../weather/G4001070.epw

OK, Oklahoma County

0.25%

true

73013

-6

../../../weather/G4001090.epw

OK, Okmulgee County

0.013%

true

74447

-6

../../../weather/G4001110.epw

OK, Osage County

0.016%

true

74070

-6

../../../weather/G4001130.epw

OK, Ottawa County

0.01%

true

74354

-6

../../../weather/G4001150.epw

OK, Pawnee County

0.0058%

true

74020

-6

../../../weather/G4001170.epw

OK, Payne County

0.026%

true

74074

-6

../../../weather/G4001190.epw

OK, Pittsburg County

0.017%

true

74501

-6

../../../weather/G4001210.epw

OK, Pontotoc County

0.012%

true

74820

-6

../../../weather/G4001230.epw

OK, Pottawatomie County

0.022%

true

74801

-6

../../../weather/G4001250.epw

OK, Pushmataha County

0.0046%

true

74523

-6

../../../weather/G4001270.epw

OK, Roger Mills County

0.0014%

true

73628

-6

../../../weather/G4001290.epw

OK, Rogers County

0.027%

true

74017

-6

../../../weather/G4001310.epw

OK, Seminole County

0.0087%

true

74868

-6

../../../weather/G4001330.epw

OK, Sequoyah County

0.014%

true

74955

-6

../../../weather/G4001350.epw

OK, Stephens County

0.015%

true

73533

-6

../../../weather/G4001370.epw

OK, Texas County

0.0061%

true

73942

-6

../../../weather/G4001390.epw

OK, Tillman County

0.003%

true

73542

-6

../../../weather/G4001410.epw

OK, Tulsa County

0.21%

true

74012

-6

../../../weather/G4001430.epw

OK, Wagoner County

0.023%

true

74014

-6

../../../weather/G4001450.epw

OK, Washington County

0.018%

true

74006

-6

../../../weather/G4001470.epw

OK, Washita County

0.0041%

true

73632

-6

../../../weather/G4001490.epw

OK, Woods County

0.0033%

true

73717

-6

../../../weather/G4001510.epw

OK, Woodward County

0.0067%

true

73801

-6

../../../weather/G4001530.epw

OR, Baker County

0.0066%

true

97814

-8

../../../weather/G4100010.epw

OR, Benton County

0.028%

true

97330

-8

../../../weather/G4100030.epw

OR, Clackamas County

0.12%

true

97045

-8

../../../weather/G4100050.epw

OR, Clatsop County

0.016%

true

97103

-8

../../../weather/G4100070.epw

OR, Columbia County

0.015%

true

97051

-8

../../../weather/G4100090.epw

OR, Coos County

0.023%

true

97420

-8

../../../weather/G4100110.epw

OR, Crook County

0.0077%

true

97754

-8

../../../weather/G4100130.epw

OR, Curry County

0.0094%

true

97415

-8

../../../weather/G4100150.epw

OR, Deschutes County

0.062%

true

97702

-8

../../../weather/G4100170.epw

OR, Douglas County

0.037%

true

97471

-8

../../../weather/G4100190.epw

OR, Gilliam County

0.00078%

true

97823

-8

../../../weather/G4100210.epw

OR, Grant County

0.0032%

true

97845

-8

../../../weather/G4100230.epw

OR, Harney County

0.0028%

true

97720

-8

../../../weather/G4100250.epw

OR, Hood River County

0.0071%

true

97031

-8

../../../weather/G4100270.epw

OR, Jackson County

0.069%

true

97504

-8

../../../weather/G4100290.epw

OR, Jefferson County

0.0073%

true

97741

-8

../../../weather/G4100310.epw

OR, Josephine County

0.028%

true

97526

-8

../../../weather/G4100330.epw

OR, Klamath County

0.024%

true

97603

-8

../../../weather/G4100350.epw

OR, Lake County

0.0033%

true

97630

-8

../../../weather/G4100370.epw

OR, Lane County

0.12%

true

97402

-8

../../../weather/G4100390.epw

OR, Lincoln County

0.023%

true

97367

-8

../../../weather/G4100410.epw

OR, Linn County

0.037%

true

97322

-8

../../../weather/G4100430.epw

OR, Malheur County

0.0087%

true

97914

-7

../../../weather/G4100450.epw

OR, Marion County

0.092%

true

97301

-8

../../../weather/G4100470.epw

OR, Morrow County

0.0033%

true

97818

-8

../../../weather/G4100490.epw

OR, Multnomah County

0.25%

true

97206

-8

../../../weather/G4100510.epw

OR, Polk County

0.023%

true

97304

-8

../../../weather/G4100530.epw

OR, Sherman County

0.0007%

true

97065

-8

../../../weather/G4100550.epw

OR, Tillamook County

0.014%

true

97141

-8

../../../weather/G4100570.epw

OR, Umatilla County

0.022%

true

97838

-8

../../../weather/G4100590.epw

OR, Union County

0.0086%

true

97850

-8

../../../weather/G4100610.epw

OR, Wallowa County

0.0031%

true

97828

-8

../../../weather/G4100630.epw

OR, Wasco County

0.0085%

true

97058

-8

../../../weather/G4100650.epw

OR, Washington County

0.16%

true

97229

-8

../../../weather/G4100670.epw

OR, Wheeler County

0.00073%

true

97830

-8

../../../weather/G4100690.epw

OR, Yamhill County

0.028%

true

97128

-8

../../../weather/G4100710.epw

PA, Adams County

0.031%

true

17325

-5

../../../weather/G4200010.epw

PA, Allegheny County

0.44%

true

15237

-5

../../../weather/G4200030.epw

PA, Armstrong County

0.024%

true

16201

-5

../../../weather/G4200050.epw

PA, Beaver County

0.058%

true

15001

-5

../../../weather/G4200070.epw

PA, Bedford County

0.018%

true

15522

-5

../../../weather/G4200090.epw

PA, Berks County

0.12%

true

19606

-5

../../../weather/G4200110.epw

PA, Blair County

0.042%

true

16601

-5

../../../weather/G4200130.epw

PA, Bradford County

0.022%

true

18840

-5

../../../weather/G4200150.epw

PA, Bucks County

0.18%

true

19020

-5

../../../weather/G4200170.epw

PA, Butler County

0.06%

true

16001

-5

../../../weather/G4200190.epw

PA, Cambria County

0.049%

true

15905

-5

../../../weather/G4200210.epw

PA, Cameron County

0.0033%

true

15834

-5

../../../weather/G4200230.epw

PA, Carbon County

0.026%

true

18235

-5

../../../weather/G4200250.epw

PA, Centre County

0.048%

true

16801

-5

../../../weather/G4200270.epw

PA, Chester County

0.15%

true

19380

-5

../../../weather/G4200290.epw

PA, Clarion County

0.015%

true

16214

-5

../../../weather/G4200310.epw

PA, Clearfield County

0.029%

true

15801

-5

../../../weather/G4200330.epw

PA, Clinton County

0.014%

true

17745

-5

../../../weather/G4200350.epw

PA, Columbia County

0.022%

true

17815

-5

../../../weather/G4200370.epw

PA, Crawford County

0.033%

true

16335

-5

../../../weather/G4200390.epw

PA, Cumberland County

0.077%

true

17055

-5

../../../weather/G4200410.epw

PA, Dauphin County

0.091%

true

17112

-5

../../../weather/G4200430.epw

PA, Delaware County

0.17%

true

19063

-5

../../../weather/G4200450.epw

PA, Elk County

0.013%

true

15857

-5

../../../weather/G4200470.epw

PA, Erie County

0.089%

true

16509

-5

../../../weather/G4200490.epw

PA, Fayette County

0.047%

true

15401

-5

../../../weather/G4200510.epw

PA, Forest County

0.0063%

true

16353

-5

../../../weather/G4200530.epw

PA, Franklin County

0.048%

true

17268

-5

../../../weather/G4200550.epw

PA, Fulton County

0.0053%

true

17233

-5

../../../weather/G4200570.epw

PA, Greene County

0.012%

true

15370

-5

../../../weather/G4200590.epw

PA, Huntingdon County

0.017%

true

16652

-5

../../../weather/G4200610.epw

PA, Indiana County

0.029%

true

15701

-5

../../../weather/G4200630.epw

PA, Jefferson County

0.017%

true

15767

-5

../../../weather/G4200650.epw

PA, Juniata County

0.0082%

true

17059

-5

../../../weather/G4200670.epw

PA, Lackawanna County

0.073%

true

18505

-5

../../../weather/G4200690.epw

PA, Lancaster County

0.15%

true

17603

-5

../../../weather/G4200710.epw

PA, Lawrence County

0.03%

true

16101

-5

../../../weather/G4200730.epw

PA, Lebanon County

0.042%

true

17042

-5

../../../weather/G4200750.epw

PA, Lehigh County

0.11%

true

18103

-5

../../../weather/G4200770.epw

PA, Luzerne County

0.11%

true

18702

-5

../../../weather/G4200790.epw

PA, Lycoming County

0.039%

true

17701

-5

../../../weather/G4200810.epw

PA, McKean County

0.016%

true

16701

-5

../../../weather/G4200830.epw

PA, Mercer County

0.038%

true

16148

-5

../../../weather/G4200850.epw

PA, Mifflin County

0.016%

true

17044

-5

../../../weather/G4200870.epw

PA, Monroe County

0.06%

true

18301

-5

../../../weather/G4200890.epw

PA, Montgomery County

0.24%

true

19446

-5

../../../weather/G4200910.epw

PA, Montour County

0.006%

true

17821

-5

../../../weather/G4200930.epw

PA, Northampton County

0.09%

true

18042

-5

../../../weather/G4200950.epw

PA, Northumberland County

0.034%

true

17801

-5

../../../weather/G4200970.epw

PA, Perry County

0.015%

true

17020

-5

../../../weather/G4200990.epw

PA, Philadelphia County

0.5%

true

19143

-5

../../../weather/G4201010.epw

PA, Pike County

0.029%

true

18337

-5

../../../weather/G4201030.epw

PA, Potter County

0.0096%

true

16915

-5

../../../weather/G4201050.epw

PA, Schuylkill County

0.051%

true

17901

-5

../../../weather/G4201070.epw

PA, Snyder County

0.012%

true

17870

-5

../../../weather/G4201090.epw

PA, Somerset County

0.028%

true

15501

-5

../../../weather/G4201110.epw

PA, Sullivan County

0.0047%

true

18614

-5

../../../weather/G4201130.epw

PA, Susquehanna County

0.017%

true

18801

-5

../../../weather/G4201150.epw

PA, Tioga County

0.016%

true

16901

-5

../../../weather/G4201170.epw

PA, Union County

0.013%

true

17837

-5

../../../weather/G4201190.epw

PA, Venango County

0.02%

true

16301

-5

../../../weather/G4201210.epw

PA, Warren County

0.017%

true

16365

-5

../../../weather/G4201230.epw

PA, Washington County

0.07%

true

15301

-5

../../../weather/G4201250.epw

PA, Wayne County

0.024%

true

18431

-5

../../../weather/G4201270.epw

PA, Westmoreland County

0.13%

true

15601

-5

../../../weather/G4201290.epw

PA, Wyoming County

0.0099%

true

18657

-5

../../../weather/G4201310.epw

PA, York County

0.13%

true

17331

-5

../../../weather/G4201330.epw

RI, Bristol County

0.016%

true

02809

-5

../../../weather/G4400010.epw

RI, Kent County

0.055%

true

02893

-5

../../../weather/G4400030.epw

RI, Newport County

0.031%

true

02840

-5

../../../weather/G4400050.epw

RI, Providence County

0.2%

true

02860

-5

../../../weather/G4400070.epw

RI, Washington County

0.047%

true

02891

-5

../../../weather/G4400090.epw

SC, Abbeville County

0.009%

true

29620

-5

../../../weather/G4500010.epw

SC, Aiken County

0.055%

true

29803

-5

../../../weather/G4500030.epw

SC, Allendale County

0.0033%

true

29810

-5

../../../weather/G4500050.epw

SC, Anderson County

0.064%

true

29621

-5

../../../weather/G4500070.epw

SC, Bamberg County

0.0057%

true

29003

-5

../../../weather/G4500090.epw

SC, Barnwell County

0.0077%

true

29812

-5

../../../weather/G4500110.epw

SC, Beaufort County

0.071%

true

29910

-5

../../../weather/G4500130.epw

SC, Berkeley County

0.058%

true

29445

-5

../../../weather/G4500150.epw

SC, Calhoun County

0.0054%

true

29135

-5

../../../weather/G4500170.epw

SC, Charleston County

0.13%

true

29464

-5

../../../weather/G4500190.epw

SC, Cherokee County

0.018%

true

29340

-5

../../../weather/G4500210.epw

SC, Chester County

0.011%

true

29706

-5

../../../weather/G4500230.epw

SC, Chesterfield County

0.016%

true

29520

-5

../../../weather/G4500250.epw

SC, Clarendon County

0.013%

true

29102

-5

../../../weather/G4500270.epw

SC, Colleton County

0.015%

true

29488

-5

../../../weather/G4500290.epw

SC, Darlington County

0.023%

true

29550

-5

../../../weather/G4500310.epw

SC, Dillon County

0.01%

true

29536

-5

../../../weather/G4500330.epw

SC, Dorchester County

0.043%

true

29485

-5

../../../weather/G4500350.epw

SC, Edgefield County

0.0079%

true

29860

-5

../../../weather/G4500370.epw

SC, Fairfield County

0.0087%

true

29180

-5

../../../weather/G4500390.epw

SC, Florence County

0.044%

true

29501

-5

../../../weather/G4500410.epw

SC, Georgetown County

0.025%

true

29440

-5

../../../weather/G4500430.epw

SC, Greenville County

0.15%

true

29681

-5

../../../weather/G4500450.epw

SC, Greenwood County

0.023%

true

29649

-5

../../../weather/G4500470.epw

SC, Hampton County

0.0067%

true

29918

-5

../../../weather/G4500490.epw

SC, Horry County

0.14%

true

29579

-5

../../../weather/G4500510.epw

SC, Jasper County

0.0081%

true

29936

-5

../../../weather/G4500530.epw

SC, Kershaw County

0.021%

true

29020

-5

../../../weather/G4500550.epw

SC, Lancaster County

0.025%

true

29720

-5

../../../weather/G4500570.epw

SC, Laurens County

0.023%

true

29360

-5

../../../weather/G4500590.epw

SC, Lee County

0.0057%

true

29010

-5

../../../weather/G4500610.epw

SC, Lexington County

0.089%

true

29072

-5

../../../weather/G4500630.epw

SC, Marion County

0.011%

true

29571

-5

../../../weather/G4500670.epw

SC, Marlboro County

0.0089%

true

29512

-5

../../../weather/G4500690.epw

SC, McCormick County

0.0041%

true

29835

-5

../../../weather/G4500650.epw

SC, Newberry County

0.013%

true

29108

-5

../../../weather/G4500710.epw

SC, Oconee County

0.029%

true

29678

-5

../../../weather/G4500730.epw

SC, Orangeburg County

0.031%

true

29115

-5

../../../weather/G4500750.epw

SC, Pickens County

0.039%

true

29640

-5

../../../weather/G4500770.epw

SC, Richland County

0.12%

true

29223

-5

../../../weather/G4500790.epw

SC, Saluda County

0.0069%

true

29138

-5

../../../weather/G4500810.epw

SC, Spartanburg County

0.093%

true

29301

-5

../../../weather/G4500830.epw

SC, Sumter County

0.035%

true

29150

-5

../../../weather/G4500850.epw

SC, Union County

0.01%

true

29379

-5

../../../weather/G4500870.epw

SC, Williamsburg County

0.011%

true

29556

-5

../../../weather/G4500890.epw

SC, York County

0.074%

true

29732

-5

../../../weather/G4500910.epw

SD, Aurora County

0.00099%

true

57368

-6

../../../weather/G4600030.epw

SD, Beadle County

0.0062%

true

57350

-6

../../../weather/G4600050.epw

SD, Bennett County

0.00086%

true

57551

-7

../../../weather/G4600070.epw

SD, Bon Homme County

0.0022%

true

57066

-6

../../../weather/G4600090.epw

SD, Brookings County

0.01%

true

57006

-6

../../../weather/G4600110.epw

SD, Brown County

0.013%

true

57401

-6

../../../weather/G4600130.epw

SD, Brule County

0.0018%

true

57325

-6

../../../weather/G4600150.epw

SD, Buffalo County

0.00043%

true

57341

-6

../../../weather/G4600170.epw

SD, Butte County

0.0035%

true

57717

-7

../../../weather/G4600190.epw

SD, Campbell County

0.00074%

true

57632

-6

../../../weather/G4600210.epw

SD, Charles Mix County

0.0029%

true

57380

-6

../../../weather/G4600230.epw

SD, Clark County

0.0013%

true

57225

-6

../../../weather/G4600250.epw

SD, Clay County

0.0043%

true

57069

-6

../../../weather/G4600270.epw

SD, Codington County

0.0095%

true

57201

-6

../../../weather/G4600290.epw

SD, Corson County

0.0011%

true

57642

-7

../../../weather/G4600310.epw

SD, Custer County

0.0036%

true

57730

-7

../../../weather/G4600330.epw

SD, Davison County

0.0068%

true

57301

-6

../../../weather/G4600350.epw

SD, Day County

0.0027%

true

57274

-6

../../../weather/G4600370.epw

SD, Deuel County

0.0016%

true

57226

-6

../../../weather/G4600390.epw

SD, Dewey County

0.0015%

true

57625

-7

../../../weather/G4600410.epw

SD, Douglas County

0.0011%

true

57328

-6

../../../weather/G4600430.epw

SD, Edmunds County

0.0015%

true

57451

-6

../../../weather/G4600450.epw

SD, Fall River County

0.0031%

true

57747

-7

../../../weather/G4600470.epw

SD, Faulk County

0.00089%

true

57438

-6

../../../weather/G4600490.epw

SD, Grant County

0.0026%

true

57252

-6

../../../weather/G4600510.epw

SD, Gregory County

0.0019%

true

57533

-6

../../../weather/G4600530.epw

SD, Haakon County

0.00078%

true

57552

-7

../../../weather/G4600550.epw

SD, Hamlin County

0.0021%

true

57223

-6

../../../weather/G4600570.epw

SD, Hand County

0.0014%

true

57362

-6

../../../weather/G4600590.epw

SD, Hanson County

0.00088%

true

57311

-6

../../../weather/G4600610.epw

SD, Harding County

0.0005%

true

57720

-7

../../../weather/G4600630.epw

SD, Hughes County

0.0058%

true

57501

-6

../../../weather/G4600650.epw

SD, Hutchinson County

0.0025%

true

57366

-6

../../../weather/G4600670.epw

SD, Hyde County

0.00052%

true

57345

-6

../../../weather/G4600690.epw

SD, Jackson County

0.00096%

true

57543

-7

../../../weather/G4600710.epw

SD, Jerauld County

0.00079%

true

57382

-6

../../../weather/G4600730.epw

SD, Jones County

0.00039%

true

57559

-6

../../../weather/G4600750.epw

SD, Kingsbury County

0.002%

true

57231

-6

../../../weather/G4600770.epw

SD, Lake County

0.0042%

true

57042

-6

../../../weather/G4600790.epw

SD, Lawrence County

0.01%

true

57783

-7

../../../weather/G4600810.epw

SD, Lincoln County

0.014%

true

57108

-6

../../../weather/G4600830.epw

SD, Lyman County

0.0013%

true

57569

-6

../../../weather/G4600850.epw

SD, Marshall County

0.0019%

true

57430

-6

../../../weather/G4600910.epw

SD, McCook County

0.0019%

true

57058

-6

../../../weather/G4600870.epw

SD, McPherson County

0.001%

true

57437

-6

../../../weather/G4600890.epw

SD, Meade County

0.0086%

true

57785

-7

../../../weather/G4600930.epw

SD, Mellette County

0.00064%

true

57579

-6

../../../weather/G4600950.epw

SD, Miner County

0.00094%

true

57349

-6

../../../weather/G4600970.epw

SD, Minnehaha County

0.057%

true

57106

-6

../../../weather/G4600990.epw

SD, Moody County

0.0021%

true

57028

-6

../../../weather/G4601010.epw

SD, Oglala Lakota County

0.0027%

true

57770

-7

../../../weather/G4601020.epw

SD, Pennington County

0.035%

true

57701

-7

../../../weather/G4601030.epw

SD, Perkins County

0.0013%

true

57638

-7

../../../weather/G4601050.epw

SD, Potter County

0.0012%

true

57442

-6

../../../weather/G4601070.epw

SD, Roberts County

0.0037%

true

57262

-6

../../../weather/G4601090.epw

SD, Sanborn County

0.00093%

true

57385

-6

../../../weather/G4601110.epw

SD, Spink County

0.0024%

true

57469

-6

../../../weather/G4601150.epw

SD, Stanley County

0.0011%

true

57532

-7

../../../weather/G4601170.epw

SD, Sully County

0.0006%

true

57564

-6

../../../weather/G4601190.epw

SD, Todd County

0.0023%

true

57555

-6

../../../weather/G4601210.epw

SD, Tripp County

0.0023%

true

57580

-6

../../../weather/G4601230.epw

SD, Turner County

0.003%

true

57053

-6

../../../weather/G4601250.epw

SD, Union County

0.005%

true

57049

-6

../../../weather/G4601270.epw

SD, Walworth County

0.0022%

true

57601

-6

../../../weather/G4601290.epw

SD, Yankton County

0.0073%

true

57078

-6

../../../weather/G4601350.epw

SD, Ziebach County

0.00074%

true

57623

-7

../../../weather/G4601370.epw

TN, Anderson County

0.026%

true

37830

-5

../../../weather/G4700010.epw

TN, Bedford County

0.014%

true

37160

-6

../../../weather/G4700030.epw

TN, Benton County

0.0067%

true

38320

-6

../../../weather/G4700050.epw

TN, Bledsoe County

0.0042%

true

37367

-6

../../../weather/G4700070.epw

TN, Blount County

0.042%

true

37803

-5

../../../weather/G4700090.epw

TN, Bradley County

0.032%

true

37312

-5

../../../weather/G4700110.epw

TN, Campbell County

0.015%

true

37766

-5

../../../weather/G4700130.epw

TN, Cannon County

0.0045%

true

37190

-6

../../../weather/G4700150.epw

TN, Carroll County

0.0098%

true

38344

-6

../../../weather/G4700170.epw

TN, Carter County

0.021%

true

37643

-5

../../../weather/G4700190.epw

TN, Cheatham County

0.012%

true

37015

-6

../../../weather/G4700210.epw

TN, Chester County

0.0052%

true

38340

-6

../../../weather/G4700230.epw

TN, Claiborne County

0.011%

true

37879

-5

../../../weather/G4700250.epw

TN, Clay County

0.0032%

true

38551

-6

../../../weather/G4700270.epw

TN, Cocke County

0.013%

true

37821

-5

../../../weather/G4700290.epw

TN, Coffee County

0.018%

true

37355

-6

../../../weather/G4700310.epw

TN, Crockett County

0.0048%

true

38006

-6

../../../weather/G4700330.epw

TN, Cumberland County

0.021%

true

38555

-6

../../../weather/G4700350.epw

TN, Davidson County

0.22%

true

37013

-6

../../../weather/G4700370.epw

TN, Decatur County

0.0051%

true

38363

-6

../../../weather/G4700390.epw

TN, DeKalb County

0.007%

true

37166

-6

../../../weather/G4700410.epw

TN, Dickson County

0.016%

true

37055

-6

../../../weather/G4700430.epw

TN, Dyer County

0.013%

true

38024

-6

../../../weather/G4700450.epw

TN, Fayette County

0.012%

true

38060

-6

../../../weather/G4700470.epw

TN, Fentress County

0.0067%

true

38556

-6

../../../weather/G4700490.epw

TN, Franklin County

0.014%

true

37398

-6

../../../weather/G4700510.epw

TN, Gibson County

0.017%

true

38343

-6

../../../weather/G4700530.epw

TN, Giles County

0.01%

true

38478

-6

../../../weather/G4700550.epw

TN, Grainger County

0.0081%

true

37861

-5

../../../weather/G4700570.epw

TN, Greene County

0.024%

true

37743

-5

../../../weather/G4700590.epw

TN, Grundy County

0.0048%

true

37387

-6

../../../weather/G4700610.epw

TN, Hamblen County

0.02%

true

37814

-5

../../../weather/G4700630.epw

TN, Hamilton County

0.12%

true

37421

-5

../../../weather/G4700650.epw

TN, Hancock County

0.0027%

true

37869

-5

../../../weather/G4700670.epw

TN, Hardeman County

0.0081%

true

38008

-6

../../../weather/G4700690.epw

TN, Hardin County

0.01%

true

38372

-6

../../../weather/G4700710.epw

TN, Hawkins County

0.02%

true

37857

-5

../../../weather/G4700730.epw

TN, Haywood County

0.0063%

true

38012

-6

../../../weather/G4700750.epw

TN, Henderson County

0.0096%

true

38351

-6

../../../weather/G4700770.epw

TN, Henry County

0.013%

true

38242

-6

../../../weather/G4700790.epw

TN, Hickman County

0.0077%

true

37033

-6

../../../weather/G4700810.epw

TN, Houston County

0.0031%

true

37061

-6

../../../weather/G4700830.epw

TN, Humphreys County

0.0066%

true

37185

-6

../../../weather/G4700850.epw

TN, Jackson County

0.0043%

true

38562

-6

../../../weather/G4700870.epw

TN, Jefferson County

0.018%

true

37725

-5

../../../weather/G4700890.epw

TN, Johnson County

0.0067%

true

37683

-5

../../../weather/G4700910.epw

TN, Knox County

0.15%

true

37920

-5

../../../weather/G4700930.epw

TN, Lake County

0.0019%

true

38079

-6

../../../weather/G4700950.epw

TN, Lauderdale County

0.0084%

true

38063

-6

../../../weather/G4700970.epw

TN, Lawrence County

0.014%

true

38464

-6

../../../weather/G4700990.epw

TN, Lewis County

0.0041%

true

38462

-6

../../../weather/G4701010.epw

TN, Lincoln County

0.011%

true

37334

-6

../../../weather/G4701030.epw

TN, Loudon County

0.017%

true

37774

-5

../../../weather/G4701050.epw

TN, Macon County

0.0074%

true

37083

-6

../../../weather/G4701110.epw

TN, Madison County

0.032%

true

38305

-6

../../../weather/G4701130.epw

TN, Marion County

0.0097%

true

37397

-6

../../../weather/G4701150.epw

TN, Marshall County

0.0099%

true

37091

-6

../../../weather/G4701170.epw

TN, Maury County

0.027%

true

38401

-6

../../../weather/G4701190.epw

TN, McMinn County

0.017%

true

37303

-5

../../../weather/G4701070.epw

TN, McNairy County

0.0089%

true

38375

-6

../../../weather/G4701090.epw

TN, Meigs County

0.0042%

true

37322

-5

../../../weather/G4701210.epw

TN, Monroe County

0.016%

true

37354

-5

../../../weather/G4701230.epw

TN, Montgomery County

0.057%

true

37042

-6

../../../weather/G4701250.epw

TN, Moore County

0.0022%

true

37352

-6

../../../weather/G4701270.epw

TN, Morgan County

0.0066%

true

37887

-5

../../../weather/G4701290.epw

TN, Obion County

0.011%

true

38261

-6

../../../weather/G4701310.epw

TN, Overton County

0.0077%

true

38570

-6

../../../weather/G4701330.epw

TN, Perry County

0.0034%

true

37096

-6

../../../weather/G4701350.epw

TN, Pickett County

0.0026%

true

38549

-6

../../../weather/G4701370.epw

TN, Polk County

0.0062%

true

37307

-5

../../../weather/G4701390.epw

TN, Putnam County

0.025%

true

38501

-6

../../../weather/G4701410.epw

TN, Rhea County

0.011%

true

37321

-5

../../../weather/G4701430.epw

TN, Roane County

0.019%

true

37748

-5

../../../weather/G4701450.epw

TN, Robertson County

0.02%

true

37172

-6

../../../weather/G4701470.epw

TN, Rutherford County

0.082%

true

37128

-6

../../../weather/G4701490.epw

TN, Scott County

0.0074%

true

37841

-5

../../../weather/G4701510.epw

TN, Sequatchie County

0.0048%

true

37327

-6

../../../weather/G4701530.epw

TN, Sevier County

0.042%

true

37876

-5

../../../weather/G4701550.epw

TN, Shelby County

0.3%

true

38111

-6

../../../weather/G4701570.epw

TN, Smith County

0.0064%

true

37030

-6

../../../weather/G4701590.epw

TN, Stewart County

0.005%

true

37058

-6

../../../weather/G4701610.epw

TN, Sullivan County

0.055%

true

37660

-5

../../../weather/G4701630.epw

TN, Sumner County

0.051%

true

37075

-6

../../../weather/G4701650.epw

TN, Tipton County

0.017%

true

38019

-6

../../../weather/G4701670.epw

TN, Trousdale County

0.0026%

true

37074

-6

../../../weather/G4701690.epw

TN, Unicoi County

0.0066%

true

37650

-5

../../../weather/G4701710.epw

TN, Union County

0.0068%

true

37807

-5

../../../weather/G4701730.epw

TN, Van Buren County

0.002%

true

38585

-6

../../../weather/G4701750.epw

TN, Warren County

0.013%

true

37110

-6

../../../weather/G4701770.epw

TN, Washington County

0.044%

true

37604

-5

../../../weather/G4701790.epw

TN, Wayne County

0.0054%

true

38485

-6

../../../weather/G4701810.epw

TN, Weakley County

0.012%

true

38237

-6

../../../weather/G4701830.epw

TN, White County

0.0087%

true

38583

-6

../../../weather/G4701850.epw

TN, Williamson County

0.055%

true

37064

-6

../../../weather/G4701870.epw

TN, Wilson County

0.037%

true

37122

-6

../../../weather/G4701890.epw

TX, Anderson County

0.015%

true

75803

-6

../../../weather/G4800010.epw

TX, Andrews County

0.0045%

true

79714

-6

../../../weather/G4800030.epw

TX, Angelina County

0.027%

true

75904

-6

../../../weather/G4800050.epw

TX, Aransas County

0.012%

true

78382

-6

../../../weather/G4800070.epw

TX, Archer County

0.0031%

true

76310

-6

../../../weather/G4800090.epw

TX, Armstrong County

0.00069%

true

79019

-6

../../../weather/G4800110.epw

TX, Atascosa County

0.013%

true

78064

-6

../../../weather/G4800130.epw

TX, Austin County

0.0097%

true

77474

-6

../../../weather/G4800150.epw

TX, Bailey County

0.002%

true

79347

-6

../../../weather/G4800170.epw

TX, Bandera County

0.0087%

true

78003

-6

../../../weather/G4800190.epw

TX, Bastrop County

0.022%

true

78602

-6

../../../weather/G4800210.epw

TX, Baylor County

0.002%

true

76380

-6

../../../weather/G4800230.epw

TX, Bee County

0.0079%

true

78102

-6

../../../weather/G4800250.epw

TX, Bell County

0.1%

true

76502

-6

../../../weather/G4800270.epw

TX, Bexar County

0.51%

true

78245

-6

../../../weather/G4800290.epw

TX, Blanco County

0.0042%

true

78606

-6

../../../weather/G4800310.epw

TX, Borden County

0.0003%

true

79351

-6

../../../weather/G4800330.epw

TX, Bosque County

0.0072%

true

76634

-6

../../../weather/G4800350.epw

TX, Bowie County

0.029%

true

75501

-6

../../../weather/G4800370.epw

TX, Brazoria County

0.095%

true

77584

-6

../../../weather/G4800390.epw

TX, Brazos County

0.062%

true

77845

-6

../../../weather/G4800410.epw

TX, Brewster County

0.0041%

true

79830

-6

../../../weather/G4800430.epw

TX, Briscoe County

0.00075%

true

79257

-6

../../../weather/G4800450.epw

TX, Brooks County

0.0023%

true

78355

-6

../../../weather/G4800470.epw

TX, Brown County

0.014%

true

76801

-6

../../../weather/G4800490.epw

TX, Burleson County

0.0066%

true

77836

-6

../../../weather/G4800510.epw

TX, Burnet County

0.016%

true

78654

-6

../../../weather/G4800530.epw

TX, Caldwell County

0.01%

true

78644

-6

../../../weather/G4800550.epw

TX, Calhoun County

0.0087%

true

77979

-6

../../../weather/G4800570.epw

TX, Callahan County

0.0049%

true

79510

-6

../../../weather/G4800590.epw

TX, Cameron County

0.11%

true

78521

-6

../../../weather/G4800610.epw

TX, Camp County

0.0042%

true

75686

-6

../../../weather/G4800630.epw

TX, Carson County

0.0021%

true

79068

-6

../../../weather/G4800650.epw

TX, Cass County

0.011%

true

75551

-6

../../../weather/G4800670.epw

TX, Castro County

0.0024%

true

79027

-6

../../../weather/G4800690.epw

TX, Chambers County

0.011%

true

77523

-6

../../../weather/G4800710.epw

TX, Cherokee County

0.016%

true

75766

-6

../../../weather/G4800730.epw

TX, Childress County

0.0022%

true

79201

-6

../../../weather/G4800750.epw

TX, Clay County

0.0038%

true

76365

-6

../../../weather/G4800770.epw

TX, Cochran County

0.001%

true

79346

-6

../../../weather/G4800790.epw

TX, Coke County

0.002%

true

76945

-6

../../../weather/G4800810.epw

TX, Coleman County

0.0041%

true

76834

-6

../../../weather/G4800830.epw

TX, Collin County

0.25%

true

75035

-6

../../../weather/G4800850.epw

TX, Collingsworth County

0.0011%

true

79095

-6

../../../weather/G4800870.epw

TX, Colorado County

0.0079%

true

78934

-6

../../../weather/G4800890.epw

TX, Comal County

0.039%

true

78130

-6

../../../weather/G4800910.epw

TX, Comanche County

0.0054%

true

76442

-6

../../../weather/G4800930.epw

TX, Concho County

0.0012%

true

76837

-6

../../../weather/G4800950.epw

TX, Cooke County

0.012%

true

76240

-6

../../../weather/G4800970.epw

TX, Coryell County

0.019%

true

76522

-6

../../../weather/G4800990.epw

TX, Cottle County

0.00078%

true

79248

-6

../../../weather/G4801010.epw

TX, Crane County

0.0012%

true

79731

-6

../../../weather/G4801030.epw

TX, Crockett County

0.0014%

true

76943

-6

../../../weather/G4801050.epw

TX, Crosby County

0.0022%

true

79322

-6

../../../weather/G4801070.epw

TX, Culberson County

0.00075%

true

79847

-6

../../../weather/G4801090.epw

TX, Dallam County

0.0022%

true

79022

-6

../../../weather/G4801110.epw

TX, Dallas County

0.73%

true

75243

-6

../../../weather/G4801130.epw

TX, Dawson County

0.0039%

true

79331

-6

../../../weather/G4801150.epw

TX, Deaf Smith County

0.0053%

true

79045

-6

../../../weather/G4801170.epw

TX, Delta County

0.0018%

true

75432

-6

../../../weather/G4801190.epw

TX, Denton County

0.21%

true

75056

-6

../../../weather/G4801210.epw

TX, DeWitt County

0.0068%

true

77954

-6

../../../weather/G4801230.epw

TX, Dickens County

0.001%

true

79370

-6

../../../weather/G4801250.epw

TX, Dimmit County

0.0032%

true

78834

-6

../../../weather/G4801270.epw

TX, Donley County

0.0016%

true

79226

-6

../../../weather/G4801290.epw

TX, Duval County

0.0041%

true

78384

-6

../../../weather/G4801310.epw

TX, Eastland County

0.0076%

true

76437

-6

../../../weather/G4801330.epw

TX, Ector County

0.042%

true

79762

-6

../../../weather/G4801350.epw

TX, Edwards County

0.0013%

true

78880

-6

../../../weather/G4801370.epw

TX, El Paso County

0.21%

true

79936

-7

../../../weather/G4801410.epw

TX, Ellis County

0.043%

true

75165

-6

../../../weather/G4801390.epw

TX, Erath County

0.013%

true

76401

-6

../../../weather/G4801430.epw

TX, Falls County

0.0058%

true

76661

-6

../../../weather/G4801450.epw

TX, Fannin County

0.011%

true

75418

-6

../../../weather/G4801470.epw

TX, Fayette County

0.01%

true

78945

-6

../../../weather/G4801490.epw

TX, Fisher County

0.0016%

true

79546

-6

../../../weather/G4801510.epw

TX, Floyd County

0.0022%

true

79235

-6

../../../weather/G4801530.epw

TX, Foard County

0.00064%

true

79227

-6

../../../weather/G4801550.epw

TX, Fort Bend County

0.17%

true

77494

-6

../../../weather/G4801570.epw

TX, Franklin County

0.0043%

true

75457

-6

../../../weather/G4801590.epw

TX, Freestone County

0.0069%

true

75860

-6

../../../weather/G4801610.epw

TX, Frio County

0.0044%

true

78061

-6

../../../weather/G4801630.epw

TX, Gaines County

0.0047%

true

79360

-6

../../../weather/G4801650.epw

TX, Galveston County

0.1%

true

77573

-6

../../../weather/G4801670.epw

TX, Garza County

0.0016%

true

79356

-6

../../../weather/G4801690.epw

TX, Gillespie County

0.0096%

true

78624

-6

../../../weather/G4801710.epw

TX, Glasscock County

0.00041%

true

79739

-6

../../../weather/G4801730.epw

TX, Goliad County

0.0028%

true

77963

-6

../../../weather/G4801750.epw

TX, Gonzales County

0.0066%

true

78629

-6

../../../weather/G4801770.epw

TX, Gray County

0.0075%

true

79065

-6

../../../weather/G4801790.epw

TX, Grayson County

0.041%

true

75092

-6

../../../weather/G4801810.epw

TX, Gregg County

0.038%

true

75605

-6

../../../weather/G4801830.epw

TX, Grimes County

0.0082%

true

77868

-6

../../../weather/G4801850.epw

TX, Guadalupe County

0.04%

true

78155

-6

../../../weather/G4801870.epw

TX, Hale County

0.01%

true

79072

-6

../../../weather/G4801890.epw

TX, Hall County

0.0014%

true

79245

-6

../../../weather/G4801910.epw

TX, Hamilton County

0.0034%

true

76531

-6

../../../weather/G4801930.epw

TX, Hansford County

0.0017%

true

79081

-6

../../../weather/G4801950.epw

TX, Hardeman County

0.0018%

true

79252

-6

../../../weather/G4801970.epw

TX, Hardin County

0.018%

true

77657

-6

../../../weather/G4801990.epw

TX, Harris County

1.3%

true

77449

-6

../../../weather/G4802010.epw

TX, Harrison County

0.021%

true

75672

-6

../../../weather/G4802030.epw

TX, Hartley County

0.0015%

true

79022

-6

../../../weather/G4802050.epw

TX, Haskell County

0.0026%

true

79521

-6

../../../weather/G4802070.epw

TX, Hays County

0.052%

true

78666

-6

../../../weather/G4802090.epw

TX, Hemphill County

0.0013%

true

79014

-6

../../../weather/G4802110.epw

TX, Henderson County

0.03%

true

75156

-6

../../../weather/G4802130.epw

TX, Hidalgo County

0.2%

true

78572

-6

../../../weather/G4802150.epw

TX, Hill County

0.012%

true

76692

-6

../../../weather/G4802170.epw

TX, Hockley County

0.0069%

true

79336

-6

../../../weather/G4802190.epw

TX, Hood County

0.019%

true

76048

-6

../../../weather/G4802210.epw

TX, Hopkins County

0.011%

true

75482

-6

../../../weather/G4802230.epw

TX, Houston County

0.0086%

true

75835

-6

../../../weather/G4802250.epw

TX, Howard County

0.0098%

true

79720

-6

../../../weather/G4802270.epw

TX, Hudspeth County

0.0011%

true

79839

-7

../../../weather/G4802290.epw

TX, Hunt County

0.028%

true

75401

-6

../../../weather/G4802310.epw

TX, Hutchinson County

0.0079%

true

79007

-6

../../../weather/G4802330.epw

TX, Irion County

0.00065%

true

76941

-6

../../../weather/G4802350.epw

TX, Jack County

0.0031%

true

76458

-6

../../../weather/G4802370.epw

TX, Jackson County

0.0049%

true

77957

-6

../../../weather/G4802390.epw

TX, Jasper County

0.013%

true

75951

-6

../../../weather/G4802410.epw

TX, Jeff Davis County

0.0012%

true

79734

-6

../../../weather/G4802430.epw

TX, Jefferson County

0.08%

true

77642

-6

../../../weather/G4802450.epw

TX, Jim Hogg County

0.0018%

true

78361

-6

../../../weather/G4802470.epw

TX, Jim Wells County

0.012%

true

78332

-6

../../../weather/G4802490.epw

TX, Johnson County

0.044%

true

76028

-6

../../../weather/G4802510.epw

TX, Jones County

0.0055%

true

79501

-6

../../../weather/G4802530.epw

TX, Karnes County

0.0043%

true

78119

-6

../../../weather/G4802550.epw

TX, Kaufman County

0.029%

true

75126

-6

../../../weather/G4802570.epw

TX, Kendall County

0.011%

true

78006

-6

../../../weather/G4802590.epw

TX, Kenedy County

0.00021%

true

78385

-6

../../../weather/G4802610.epw

TX, Kent County

0.00035%

true

79549

-6

../../../weather/G4802630.epw

TX, Kerr County

0.018%

true

78028

-6

../../../weather/G4802650.epw

TX, Kimble County

0.0026%

true

76849

-6

../../../weather/G4802670.epw

TX, King County

0.00012%

true

79248

-6

../../../weather/G4802690.epw

TX, Kinney County

0.0013%

true

78832

-6

../../../weather/G4802710.epw

TX, Kleberg County

0.0098%

true

78363

-6

../../../weather/G4802730.epw

TX, Knox County

0.0015%

true

76371

-6

../../../weather/G4802750.epw

TX, La Salle County

0.0023%

true

78014

-6

../../../weather/G4802830.epw

TX, Lamar County

0.017%

true

75460

-6

../../../weather/G4802770.epw

TX, Lamb County

0.0046%

true

79339

-6

../../../weather/G4802790.epw

TX, Lampasas County

0.0067%

true

76550

-6

../../../weather/G4802810.epw

TX, Lavaca County

0.0077%

true

77964

-6

../../../weather/G4802850.epw

TX, Lee County

0.0057%

true

78942

-6

../../../weather/G4802870.epw

TX, Leon County

0.0071%

true

75831

-6

../../../weather/G4802890.epw

TX, Liberty County

0.022%

true

77327

-6

../../../weather/G4802910.epw

TX, Limestone County

0.0079%

true

76667

-6

../../../weather/G4802930.epw

TX, Lipscomb County

0.0011%

true

79005

-6

../../../weather/G4802950.epw

TX, Live Oak County

0.0045%

true

78022

-6

../../../weather/G4802970.epw

TX, Llano County

0.011%

true

78657

-6

../../../weather/G4802990.epw

TX, Loving County

4.8e-05%

true

79754

-6

../../../weather/G4803010.epw

TX, Lubbock County

0.09%

true

79424

-6

../../../weather/G4803030.epw

TX, Lynn County

0.002%

true

79373

-6

../../../weather/G4803050.epw

TX, Madison County

0.0039%

true

77864

-6

../../../weather/G4803130.epw

TX, Marion County

0.0047%

true

75657

-6

../../../weather/G4803150.epw

TX, Martin County

0.0014%

true

79782

-6

../../../weather/G4803170.epw

TX, Mason County

0.002%

true

76856

-6

../../../weather/G4803190.epw

TX, Matagorda County

0.014%

true

77414

-6

../../../weather/G4803210.epw

TX, Maverick County

0.013%

true

78852

-6

../../../weather/G4803230.epw

TX, McCulloch County

0.0032%

true

76825

-6

../../../weather/G4803070.epw

TX, McLennan County

0.073%

true

76706

-6

../../../weather/G4803090.epw

TX, McMullen County

0.00031%

true

78072

-6

../../../weather/G4803110.epw

TX, Medina County

0.013%

true

78861

-6

../../../weather/G4803250.epw

TX, Menard County

0.0012%

true

76859

-6

../../../weather/G4803270.epw

TX, Midland County

0.043%

true

79705

-6

../../../weather/G4803290.epw

TX, Milam County

0.0085%

true

76567

-6

../../../weather/G4803310.epw

TX, Mills County

0.0021%

true

76844

-6

../../../weather/G4803330.epw

TX, Mitchell County

0.003%

true

79512

-6

../../../weather/G4803350.epw

TX, Montague County

0.0076%

true

76230

-6

../../../weather/G4803370.epw

TX, Montgomery County

0.15%

true

77386

-6

../../../weather/G4803390.epw

TX, Moore County

0.0059%

true

79029

-6

../../../weather/G4803410.epw

TX, Morris County

0.0045%

true

75638

-6

../../../weather/G4803430.epw

TX, Motley County

0.00059%

true

79234

-6

../../../weather/G4803450.epw

TX, Nacogdoches County

0.021%

true

75964

-6

../../../weather/G4803470.epw

TX, Navarro County

0.015%

true

75110

-6

../../../weather/G4803490.epw

TX, Newton County

0.0053%

true

75966

-6

../../../weather/G4803510.epw

TX, Nolan County

0.0053%

true

79556

-6

../../../weather/G4803530.epw

TX, Nueces County

0.11%

true

78414

-6

../../../weather/G4803550.epw

TX, Ochiltree County

0.003%

true

79070

-6

../../../weather/G4803570.epw

TX, Oldham County

0.0006%

true

79092

-6

../../../weather/G4803590.epw

TX, Orange County

0.027%

true

77630

-6

../../../weather/G4803610.epw

TX, Palo Pinto County

0.011%

true

76067

-6

../../../weather/G4803630.epw

TX, Panola County

0.0082%

true

75633

-6

../../../weather/G4803650.epw

TX, Parker County

0.036%

true

76087

-6

../../../weather/G4803670.epw

TX, Parmer County

0.0028%

true

79035

-6

../../../weather/G4803690.epw

TX, Pecos County

0.0042%

true

79735

-6

../../../weather/G4803710.epw

TX, Polk County

0.018%

true

77351

-6

../../../weather/G4803730.epw

TX, Potter County

0.037%

true

79107

-6

../../../weather/G4803750.epw

TX, Presidio County

0.003%

true

79845

-6

../../../weather/G4803770.epw

TX, Rains County

0.0039%

true

75440

-6

../../../weather/G4803790.epw

TX, Randall County

0.04%

true

79109

-6

../../../weather/G4803810.epw

TX, Reagan County

0.001%

true

76932

-6

../../../weather/G4803830.epw

TX, Real County

0.002%

true

78873

-6

../../../weather/G4803850.epw

TX, Red River County

0.0051%

true

75426

-6

../../../weather/G4803870.epw

TX, Reeves County

0.0035%

true

79772

-6

../../../weather/G4803890.epw

TX, Refugio County

0.0028%

true

78377

-6

../../../weather/G4803910.epw

TX, Roberts County

0.00031%

true

79059

-6

../../../weather/G4803930.epw

TX, Robertson County

0.0064%

true

77859

-6

../../../weather/G4803950.epw

TX, Rockwall County

0.023%

true

75087

-6

../../../weather/G4803970.epw

TX, Runnels County

0.0039%

true

76821

-6

../../../weather/G4803990.epw

TX, Rusk County

0.016%

true

75652

-6

../../../weather/G4804010.epw

TX, Sabine County

0.006%

true

75948

-6

../../../weather/G4804030.epw

TX, San Augustine County

0.004%

true

75972

-6

../../../weather/G4804050.epw

TX, San Jacinto County

0.0098%

true

77331

-6

../../../weather/G4804070.epw

TX, San Patricio County

0.02%

true

78374

-6

../../../weather/G4804090.epw

TX, San Saba County

0.0024%

true

76877

-6

../../../weather/G4804110.epw

TX, Schleicher County

0.0011%

true

76936

-6

../../../weather/G4804130.epw

TX, Scurry County

0.0054%

true

79549

-6

../../../weather/G4804150.epw

TX, Shackelford County

0.0013%

true

76430

-6

../../../weather/G4804170.epw

TX, Shelby County

0.0089%

true

75935

-6

../../../weather/G4804190.epw

TX, Sherman County

0.001%

true

79084

-6

../../../weather/G4804210.epw

TX, Smith County

0.066%

true

75703

-6

../../../weather/G4804230.epw

TX, Somervell County

0.0028%

true

76043

-6

../../../weather/G4804250.epw

TX, Starr County

0.015%

true

78582

-6

../../../weather/G4804270.epw

TX, Stephens County

0.0037%

true

76424

-6

../../../weather/G4804290.epw

TX, Sterling County

0.00044%

true

76951

-6

../../../weather/G4804310.epw

TX, Stonewall County

0.00063%

true

79502

-6

../../../weather/G4804330.epw

TX, Sutton County

0.0015%

true

76950

-6

../../../weather/G4804350.epw

TX, Swisher County

0.0024%

true

79088

-6

../../../weather/G4804370.epw

TX, Tarrant County

0.55%

true

76244

-6

../../../weather/G4804390.epw

TX, Taylor County

0.042%

true

79605

-6

../../../weather/G4804410.epw

TX, Terrell County

0.00057%

true

78851

-6

../../../weather/G4804430.epw

TX, Terry County

0.0036%

true

79316

-6

../../../weather/G4804450.epw

TX, Throckmorton County

0.0008%

true

76483

-6

../../../weather/G4804470.epw

TX, Titus County

0.009%

true

75455

-6

../../../weather/G4804490.epw

TX, Tom Green County

0.036%

true

76904

-6

../../../weather/G4804510.epw

TX, Travis County

0.35%

true

78660

-6

../../../weather/G4804530.epw

TX, Trinity County

0.0065%

true

75862

-6

../../../weather/G4804550.epw

TX, Tyler County

0.0079%

true

75979

-6

../../../weather/G4804570.epw

TX, Upshur County

0.012%

true

75644

-6

../../../weather/G4804590.epw

TX, Upton County

0.0012%

true

79778

-6

../../../weather/G4804610.epw

TX, Uvalde County

0.0082%

true

78801

-6

../../../weather/G4804630.epw

TX, Val Verde County

0.014%

true

78840

-6

../../../weather/G4804650.epw

TX, Van Zandt County

0.017%

true

75103

-6

../../../weather/G4804670.epw

TX, Victoria County

0.027%

true

77901

-6

../../../weather/G4804690.epw

TX, Walker County

0.019%

true

77340

-6

../../../weather/G4804710.epw

TX, Waller County

0.012%

true

77423

-6

../../../weather/G4804730.epw

TX, Ward County

0.0035%

true

79756

-6

../../../weather/G4804750.epw

TX, Washington County

0.012%

true

77833

-6

../../../weather/G4804770.epw

TX, Webb County

0.058%

true

78045

-6

../../../weather/G4804790.epw

TX, Wharton County

0.013%

true

77437

-6

../../../weather/G4804810.epw

TX, Wheeler County

0.002%

true

79079

-6

../../../weather/G4804830.epw

TX, Wichita County

0.042%

true

76311

-6

../../../weather/G4804850.epw

TX, Wilbarger County

0.0047%

true

76384

-6

../../../weather/G4804870.epw

TX, Willacy County

0.0053%

true

78580

-6

../../../weather/G4804890.epw

TX, Williamson County

0.13%

true

78641

-6

../../../weather/G4804910.epw

TX, Wilson County

0.013%

true

78114

-6

../../../weather/G4804930.epw

TX, Winkler County

0.0022%

true

79745

-6

../../../weather/G4804950.epw

TX, Wise County

0.018%

true

76234

-6

../../../weather/G4804970.epw

TX, Wood County

0.016%

true

75773

-6

../../../weather/G4804990.epw

TX, Yoakum County

0.0022%

true

79323

-6

../../../weather/G4805010.epw

TX, Young County

0.0065%

true

76450

-6

../../../weather/G4805030.epw

TX, Zapata County

0.0046%

true

78076

-6

../../../weather/G4805050.epw

TX, Zavala County

0.0032%

true

78839

-6

../../../weather/G4805070.epw

UT, Beaver County

0.0022%

true

84713

-7

../../../weather/G4900010.epw

UT, Box Elder County

0.013%

true

84302

-7

../../../weather/G4900030.epw

UT, Cache County

0.029%

true

84321

-7

../../../weather/G4900050.epw

UT, Carbon County

0.0072%

true

84501

-7

../../../weather/G4900070.epw

UT, Daggett County

0.00087%

true

84046

-7

../../../weather/G4900090.epw

UT, Davis County

0.077%

true

84015

-7

../../../weather/G4900110.epw

UT, Duchesne County

0.0073%

true

84066

-7

../../../weather/G4900130.epw

UT, Emery County

0.0034%

true

84528

-7

../../../weather/G4900150.epw

UT, Garfield County

0.0028%

true

84726

-7

../../../weather/G4900170.epw

UT, Grand County

0.0038%

true

84532

-7

../../../weather/G4900190.epw

UT, Iron County

0.015%

true

84721

-7

../../../weather/G4900210.epw

UT, Juab County

0.0027%

true

84648

-7

../../../weather/G4900230.epw

UT, Kane County

0.0044%

true

84741

-7

../../../weather/G4900250.epw

UT, Millard County

0.0037%

true

84624

-7

../../../weather/G4900270.epw

UT, Morgan County

0.0025%

true

84050

-7

../../../weather/G4900290.epw

UT, Piute County

0.0007%

true

84750

-7

../../../weather/G4900310.epw

UT, Rich County

0.0022%

true

84028

-7

../../../weather/G4900330.epw

UT, Salt Lake County

0.28%

true

84096

-7

../../../weather/G4900350.epw

UT, San Juan County

0.0043%

true

84511

-7

../../../weather/G4900370.epw

UT, Sanpete County

0.0078%

true

84627

-7

../../../weather/G4900390.epw

UT, Sevier County

0.0064%

true

84701

-7

../../../weather/G4900410.epw

UT, Summit County

0.02%

true

84098

-7

../../../weather/G4900430.epw

UT, Tooele County

0.015%

true

84074

-7

../../../weather/G4900450.epw

UT, Uintah County

0.0097%

true

84078

-7

../../../weather/G4900470.epw

UT, Utah County

0.12%

true

84043

-7

../../../weather/G4900490.epw

UT, Wasatch County

0.0087%

true

84032

-7

../../../weather/G4900510.epw

UT, Washington County

0.047%

true

84770

-7

../../../weather/G4900530.epw

UT, Wayne County

0.0012%

true

84775

-7

../../../weather/G4900550.epw

UT, Weber County

0.066%

true

84404

-7

../../../weather/G4900570.epw

VA, Accomack County

0.016%

true

23336

-5

../../../weather/G5100010.epw

VA, Albemarle County

0.033%

true

22901

-5

../../../weather/G5100030.epw

VA, Alexandria city

0.056%

true

22304

-5

../../../weather/G5105100.epw

VA, Alleghany County

0.006%

true

24426

-5

../../../weather/G5100050.epw

VA, Amelia County

0.0041%

true

23002

-5

../../../weather/G5100070.epw

VA, Amherst County

0.01%

true

24572

-5

../../../weather/G5100090.epw

VA, Appomattox County

0.0053%

true

24522

-5

../../../weather/G5100110.epw

VA, Arlington County

0.083%

true

22204

-5

../../../weather/G5100130.epw

VA, Augusta County

0.024%

true

24401

-5

../../../weather/G5100150.epw

VA, Bath County

0.0026%

true

24460

-5

../../../weather/G5100170.epw

VA, Bedford County

0.027%

true

24551

-5

../../../weather/G5100190.epw

VA, Bland County

0.0024%

true

24315

-5

../../../weather/G5100210.epw

VA, Botetourt County

0.011%

true

24175

-5

../../../weather/G5100230.epw

VA, Bristol city

0.0066%

true

24201

-5

../../../weather/G5105200.epw

VA, Brunswick County

0.0061%

true

23868

-5

../../../weather/G5100250.epw

VA, Buchanan County

0.0085%

true

24614

-5

../../../weather/G5100270.epw

VA, Buckingham County

0.0054%

true

23936

-5

../../../weather/G5100290.epw

VA, Buena Vista city

0.0022%

true

24416

-5

../../../weather/G5105300.epw

VA, Campbell County

0.019%

true

24502

-5

../../../weather/G5100310.epw

VA, Caroline County

0.0089%

true

22546

-5

../../../weather/G5100330.epw

VA, Carroll County

0.012%

true

24343

-5

../../../weather/G5100350.epw

VA, Charles City County

0.0025%

true

23030

-5

../../../weather/G5100360.epw

VA, Charlotte County

0.0047%

true

23923

-5

../../../weather/G5100370.epw

VA, Charlottesville city

0.015%

true

22903

-5

../../../weather/G5105400.epw

VA, Chesapeake city

0.066%

true

23320

-5

../../../weather/G5105500.epw

VA, Chesterfield County

0.094%

true

23112

-5

../../../weather/G5100410.epw

VA, Clarke County

0.0047%

true

22611

-5

../../../weather/G5100430.epw

VA, Colonial Heights city

0.0058%

true

23834

-5

../../../weather/G5105700.epw

VA, Covington city

0.0023%

true

24426

-5

../../../weather/G5105800.epw

VA, Craig County

0.0022%

true

24127

-5

../../../weather/G5100450.epw

VA, Culpeper County

0.014%

true

22701

-5

../../../weather/G5100470.epw

VA, Cumberland County

0.0035%

true

23040

-5

../../../weather/G5100490.epw

VA, Danville city

0.017%

true

24541

-5

../../../weather/G5105900.epw

VA, Dickenson County

0.0056%

true

24228

-5

../../../weather/G5100510.epw

VA, Dinwiddie County

0.0086%

true

23803

-5

../../../weather/G5100530.epw

VA, Emporia city

0.0018%

true

23847

-5

../../../weather/G5105950.epw

VA, Essex County

0.0043%

true

22560

-5

../../../weather/G5100570.epw

VA, Fairfax city

0.0066%

true

22030

-5

../../../weather/G5106000.epw

VA, Fairfax County

0.31%

true

20171

-5

../../../weather/G5100590.epw

VA, Falls Church city

0.0043%

true

22046

-5

../../../weather/G5106100.epw

VA, Fauquier County

0.02%

true

20187

-5

../../../weather/G5100610.epw

VA, Floyd County

0.0059%

true

24091

-5

../../../weather/G5100630.epw

VA, Fluvanna County

0.008%

true

22963

-5

../../../weather/G5100650.epw

VA, Franklin city

0.0029%

true

23851

-5

../../../weather/G5106200.epw

VA, Franklin County

0.022%

true

24151

-5

../../../weather/G5100670.epw

VA, Frederick County

0.024%

true

22602

-5

../../../weather/G5100690.epw

VA, Fredericksburg city

0.0085%

true

22401

-5

../../../weather/G5106300.epw

VA, Galax city

0.0025%

true

24333

-5

../../../weather/G5106400.epw

VA, Giles County

0.0062%

true

24134

-5

../../../weather/G5100710.epw

VA, Gloucester County

0.012%

true

23061

-5

../../../weather/G5100730.epw

VA, Goochland County

0.0066%

true

23103

-5

../../../weather/G5100750.epw

VA, Grayson County

0.0068%

true

24333

-5

../../../weather/G5100770.epw

VA, Greene County

0.006%

true

22968

-5

../../../weather/G5100790.epw

VA, Greensville County

0.0031%

true

23847

-5

../../../weather/G5100810.epw

VA, Halifax County

0.013%

true

24592

-5

../../../weather/G5100830.epw

VA, Hampton city

0.045%

true

23666

-5

../../../weather/G5106500.epw

VA, Hanover County

0.03%

true

23111

-5

../../../weather/G5100850.epw

VA, Harrisonburg city

0.013%

true

22801

-5

../../../weather/G5106600.epw

VA, Henrico County

0.1%

true

23228

-5

../../../weather/G5100870.epw

VA, Henry County

0.019%

true

24112

-5

../../../weather/G5100890.epw

VA, Highland County

0.0015%

true

24465

-5

../../../weather/G5100910.epw

VA, Hopewell city

0.0077%

true

23860

-5

../../../weather/G5106700.epw

VA, Isle of Wight County

0.011%

true

23430

-5

../../../weather/G5100930.epw

VA, James City County

0.024%

true

23188

-5

../../../weather/G5100950.epw

VA, King and Queen County

0.0026%

true

23156

-5

../../../weather/G5100970.epw

VA, King George County

0.0073%

true

22485

-5

../../../weather/G5100990.epw

VA, King William County

0.005%

true

23009

-5

../../../weather/G5101010.epw

VA, Lancaster County

0.0057%

true

22503

-5

../../../weather/G5101030.epw

VA, Lee County

0.0087%

true

24263

-5

../../../weather/G5101050.epw

VA, Lexington city

0.0016%

true

24450

-5

../../../weather/G5106780.epw

VA, Loudoun County

0.091%

true

20189

-5

../../../weather/G5101070.epw

VA, Louisa County

0.013%

true

23093

-5

../../../weather/G5101090.epw

VA, Lunenburg County

0.0044%

true

23974

-5

../../../weather/G5101110.epw

VA, Lynchburg city

0.024%

true

24502

-5

../../../weather/G5106800.epw

VA, Madison County

0.0045%

true

22727

-5

../../../weather/G5101130.epw

VA, Manassas city

0.01%

true

20110

-5

../../../weather/G5106830.epw

VA, Manassas Park city

0.0036%

true

20111

-5

../../../weather/G5106850.epw

VA, Martinsville city

0.0053%

true

24112

-5

../../../weather/G5106900.epw

VA, Mathews County

0.0043%

true

23109

-5

../../../weather/G5101150.epw

VA, Mecklenburg County

0.014%

true

23970

-5

../../../weather/G5101170.epw

VA, Middlesex County

0.0054%

true

23043

-5

../../../weather/G5101190.epw

VA, Montgomery County

0.029%

true

24060

-5

../../../weather/G5101210.epw

VA, Nelson County

0.0075%

true

22967

-5

../../../weather/G5101250.epw

VA, New Kent County

0.0059%

true

23141

-5

../../../weather/G5101270.epw

VA, Newport News city

0.058%

true

23608

-5

../../../weather/G5107000.epw

VA, Norfolk city

0.072%

true

23503

-5

../../../weather/G5107100.epw

VA, Northampton County

0.0055%

true

23310

-5

../../../weather/G5101310.epw

VA, Northumberland County

0.0068%

true

22473

-5

../../../weather/G5101330.epw

VA, Norton city

0.0015%

true

24273

-5

../../../weather/G5107200.epw

VA, Nottoway County

0.005%

true

23824

-5

../../../weather/G5101350.epw

VA, Orange County

0.011%

true

22508

-5

../../../weather/G5101370.epw

VA, Page County

0.0087%

true

22835

-5

../../../weather/G5101390.epw

VA, Patrick County

0.0075%

true

24171

-5

../../../weather/G5101410.epw

VA, Petersburg city

0.012%

true

23803

-5

../../../weather/G5107300.epw

VA, Pittsylvania County

0.023%

true

24540

-5

../../../weather/G5101430.epw

VA, Poquoson city

0.0035%

true

23662

-5

../../../weather/G5107350.epw

VA, Portsmouth city

0.031%

true

23703

-5

../../../weather/G5107400.epw

VA, Powhatan County

0.0078%

true

23139

-5

../../../weather/G5101450.epw

VA, Prince Edward County

0.0069%

true

23901

-5

../../../weather/G5101470.epw

VA, Prince George County

0.0091%

true

23875

-5

../../../weather/G5101490.epw

VA, Prince William County

0.11%

true

22191

-5

../../../weather/G5101530.epw

VA, Pulaski County

0.013%

true

24301

-5

../../../weather/G5101550.epw

VA, Radford city

0.0049%

true

24141

-5

../../../weather/G5107500.epw

VA, Rappahannock County

0.0029%

true

20106

-5

../../../weather/G5101570.epw

VA, Richmond city

0.075%

true

23220

-5

../../../weather/G5107600.epw

VA, Richmond County

0.0029%

true

22572

-5

../../../weather/G5101590.epw

VA, Roanoke city

0.035%

true

24017

-5

../../../weather/G5107700.epw

VA, Roanoke County

0.03%

true

24018

-5

../../../weather/G5101610.epw

VA, Rockbridge County

0.0084%

true

24450

-5

../../../weather/G5101630.epw

VA, Rockingham County

0.026%

true

22801

-5

../../../weather/G5101650.epw

VA, Russell County

0.01%

true

24266

-5

../../../weather/G5101670.epw

VA, Salem city

0.0081%

true

24153

-5

../../../weather/G5107750.epw

VA, Scott County

0.0089%

true

24251

-5

../../../weather/G5101690.epw

VA, Shenandoah County

0.016%

true

22657

-5

../../../weather/G5101710.epw

VA, Smyth County

0.011%

true

24354

-5

../../../weather/G5101730.epw

VA, Southampton County

0.0056%

true

23851

-5

../../../weather/G5101750.epw

VA, Spotsylvania County

0.035%

true

22407

-5

../../../weather/G5101770.epw

VA, Stafford County

0.035%

true

22554

-5

../../../weather/G5101790.epw

VA, Staunton city

0.0088%

true

24401

-5

../../../weather/G5107900.epw

VA, Suffolk city

0.026%

true

23434

-5

../../../weather/G5108000.epw

VA, Surry County

0.0026%

true

23883

-5

../../../weather/G5101810.epw

VA, Sussex County

0.0034%

true

23890

-5

../../../weather/G5101830.epw

VA, Tazewell County

0.015%

true

24605

-5

../../../weather/G5101850.epw

VA, Virginia Beach city

0.14%

true

23462

-5

../../../weather/G5108100.epw

VA, Warren County

0.012%

true

22630

-5

../../../weather/G5101870.epw

VA, Washington County

0.019%

true

24210

-5

../../../weather/G5101910.epw

VA, Waynesboro city

0.0074%

true

22980

-5

../../../weather/G5108200.epw

VA, Westmoreland County

0.0081%

true

22443

-5

../../../weather/G5101930.epw

VA, Williamsburg city

0.0038%

true

23185

-5

../../../weather/G5108300.epw

VA, Winchester city

0.0089%

true

22601

-5

../../../weather/G5108400.epw

VA, Wise County

0.013%

true

24219

-5

../../../weather/G5101950.epw

VA, Wythe County

0.011%

true

24382

-5

../../../weather/G5101970.epw

VA, York County

0.02%

true

23692

-5

../../../weather/G5101990.epw

VT, Addison County

0.013%

true

05753

-5

../../../weather/G5000010.epw

VT, Bennington County

0.016%

true

05201

-5

../../../weather/G5000030.epw

VT, Caledonia County

0.012%

true

05819

-5

../../../weather/G5000050.epw

VT, Chittenden County

0.05%

true

05401

-5

../../../weather/G5000070.epw

VT, Essex County

0.0038%

true

05906

-5

../../../weather/G5000090.epw

VT, Franklin County

0.016%

true

05478

-5

../../../weather/G5000110.epw

VT, Grand Isle County

0.0038%

true

05440

-5

../../../weather/G5000130.epw

VT, Lamoille County

0.0099%

true

05672

-5

../../../weather/G5000150.epw

VT, Orange County

0.011%

true

05060

-5

../../../weather/G5000170.epw

VT, Orleans County

0.012%

true

05855

-5

../../../weather/G5000190.epw

VT, Rutland County

0.025%

true

05701

-5

../../../weather/G5000210.epw

VT, Washington County

0.022%

true

05641

-5

../../../weather/G5000230.epw

VT, Windham County

0.022%

true

05301

-5

../../../weather/G5000250.epw

VT, Windsor County

0.026%

true

05156

-5

../../../weather/G5000270.epw

WA, Adams County

0.0047%

true

99344

-8

../../../weather/G5300010.epw

WA, Asotin County

0.0073%

true

99403

-8

../../../weather/G5300030.epw

WA, Benton County

0.054%

true

99336

-8

../../../weather/G5300050.epw

WA, Chelan County

0.027%

true

98801

-8

../../../weather/G5300070.epw

WA, Clallam County

0.027%

true

98382

-8

../../../weather/G5300090.epw

WA, Clark County

0.13%

true

98682

-8

../../../weather/G5300110.epw

WA, Columbia County

0.0016%

true

99328

-8

../../../weather/G5300130.epw

WA, Cowlitz County

0.032%

true

98632

-8

../../../weather/G5300150.epw

WA, Douglas County

0.012%

true

98802

-8

../../../weather/G5300170.epw

WA, Ferry County

0.0033%

true

99166

-8

../../../weather/G5300190.epw

WA, Franklin County

0.02%

true

99301

-8

../../../weather/G5300210.epw

WA, Garfield County

0.0009%

true

99347

-8

../../../weather/G5300230.epw

WA, Grant County

0.027%

true

98837

-8

../../../weather/G5300250.epw

WA, Grays Harbor County

0.026%

true

98520

-8

../../../weather/G5300270.epw

WA, Island County

0.03%

true

98277

-8

../../../weather/G5300290.epw

WA, Jefferson County

0.013%

true

98368

-8

../../../weather/G5300310.epw

WA, King County

0.66%

true

98052

-8

../../../weather/G5300330.epw

WA, Kitsap County

0.081%

true

98312

-8

../../../weather/G5300350.epw

WA, Kittitas County

0.017%

true

98926

-8

../../../weather/G5300370.epw

WA, Klickitat County

0.0074%

true

98672

-8

../../../weather/G5300390.epw

WA, Lewis County

0.025%

true

98531

-8

../../../weather/G5300410.epw

WA, Lincoln County

0.0044%

true

99122

-8

../../../weather/G5300430.epw

WA, Mason County

0.024%

true

98584

-8

../../../weather/G5300450.epw

WA, Okanogan County

0.017%

true

98841

-8

../../../weather/G5300470.epw

WA, Pacific County

0.012%

true

98640

-8

../../../weather/G5300490.epw

WA, Pend Oreille County

0.006%

true

99156

-8

../../../weather/G5300510.epw

WA, Pierce County

0.25%

true

98391

-8

../../../weather/G5300530.epw

WA, San Juan County

0.01%

true

98250

-8

../../../weather/G5300550.epw

WA, Skagit County

0.039%

true

98273

-8

../../../weather/G5300570.epw

WA, Skamania County

0.0042%

true

98648

-8

../../../weather/G5300590.epw

WA, Snohomish County

0.22%

true

98012

-8

../../../weather/G5300610.epw

WA, Spokane County

0.15%

true

99208

-8

../../../weather/G5300630.epw

WA, Stevens County

0.016%

true

99114

-8

../../../weather/G5300650.epw

WA, Thurston County

0.083%

true

98501

-8

../../../weather/G5300670.epw

WA, Wahkiakum County

0.0016%

true

98612

-8

../../../weather/G5300690.epw

WA, Walla Walla County

0.018%

true

99362

-8

../../../weather/G5300710.epw

WA, Whatcom County

0.069%

true

98225

-8

../../../weather/G5300730.epw

WA, Whitman County

0.015%

true

99163

-8

../../../weather/G5300750.epw

WA, Yakima County

0.064%

true

98902

-8

../../../weather/G5300770.epw

WI, Adams County

0.013%

true

53934

-6

../../../weather/G5500010.epw

WI, Ashland County

0.0072%

true

54806

-6

../../../weather/G5500030.epw

WI, Barron County

0.018%

true

54868

-6

../../../weather/G5500050.epw

WI, Bayfield County

0.0098%

true

54891

-6

../../../weather/G5500070.epw

WI, Brown County

0.08%

true

54115

-6

../../../weather/G5500090.epw

WI, Buffalo County

0.005%

true

54755

-6

../../../weather/G5500110.epw

WI, Burnett County

0.011%

true

54830

-6

../../../weather/G5500130.epw

WI, Calumet County

0.015%

true

54915

-6

../../../weather/G5500150.epw

WI, Chippewa County

0.021%

true

54729

-6

../../../weather/G5500170.epw

WI, Clark County

0.011%

true

54456

-6

../../../weather/G5500190.epw

WI, Columbia County

0.02%

true

53901

-6

../../../weather/G5500210.epw

WI, Crawford County

0.0066%

true

53821

-6

../../../weather/G5500230.epw

WI, Dane County

0.17%

true

53711

-6

../../../weather/G5500250.epw

WI, Dodge County

0.028%

true

53916

-6

../../../weather/G5500270.epw

WI, Door County

0.018%

true

54235

-6

../../../weather/G5500290.epw

WI, Douglas County

0.017%

true

54880

-6

../../../weather/G5500310.epw

WI, Dunn County

0.013%

true

54751

-6

../../../weather/G5500330.epw

WI, Eau Claire County

0.032%

true

54703

-6

../../../weather/G5500350.epw

WI, Florence County

0.0036%

true

54121

-6

../../../weather/G5500370.epw

WI, Fond du Lac County

0.033%

true

54935

-6

../../../weather/G5500390.epw

WI, Forest County

0.0068%

true

54520

-6

../../../weather/G5500410.epw

WI, Grant County

0.016%

true

53818

-6

../../../weather/G5500430.epw

WI, Green County

0.012%

true

53566

-6

../../../weather/G5500450.epw

WI, Green Lake County

0.0079%

true

54923

-6

../../../weather/G5500470.epw

WI, Iowa County

0.008%

true

53533

-6

../../../weather/G5500490.epw

WI, Iron County

0.0045%

true

54547

-6

../../../weather/G5500510.epw

WI, Jackson County

0.0073%

true

54615

-6

../../../weather/G5500530.epw

WI, Jefferson County

0.026%

true

53538

-6

../../../weather/G5500550.epw

WI, Juneau County

0.011%

true

53948

-6

../../../weather/G5500570.epw

WI, Kenosha County

0.052%

true

53142

-6

../../../weather/G5500590.epw

WI, Kewaunee County

0.007%

true

54216

-6

../../../weather/G5500610.epw

WI, La Crosse County

0.037%

true

54601

-6

../../../weather/G5500630.epw

WI, Lafayette County

0.0054%

true

53530

-6

../../../weather/G5500650.epw

WI, Langlade County

0.0092%

true

54409

-6

../../../weather/G5500670.epw

WI, Lincoln County

0.013%

true

54452

-6

../../../weather/G5500690.epw

WI, Manitowoc County

0.028%

true

54220

-6

../../../weather/G5500710.epw

WI, Marathon County

0.044%

true

54401

-6

../../../weather/G5500730.epw

WI, Marinette County

0.023%

true

54143

-6

../../../weather/G5500750.epw

WI, Marquette County

0.0074%

true

53949

-6

../../../weather/G5500770.epw

WI, Menominee County

0.0017%

true

54135

-6

../../../weather/G5500780.epw

WI, Milwaukee County

0.31%

true

53209

-6

../../../weather/G5500790.epw

WI, Monroe County

0.015%

true

54656

-6

../../../weather/G5500810.epw

WI, Oconto County

0.018%

true

54153

-6

../../../weather/G5500830.epw

WI, Oneida County

0.023%

true

54501

-6

../../../weather/G5500850.epw

WI, Outagamie County

0.056%

true

54911

-6

../../../weather/G5500870.epw

WI, Ozaukee County

0.027%

true

53092

-6

../../../weather/G5500890.epw

WI, Pepin County

0.0027%

true

54736

-6

../../../weather/G5500910.epw

WI, Pierce County

0.012%

true

54022

-6

../../../weather/G5500930.epw

WI, Polk County

0.018%

true

54001

-6

../../../weather/G5500950.epw

WI, Portage County

0.023%

true

54481

-6

../../../weather/G5500970.epw

WI, Price County

0.0082%

true

54555

-6

../../../weather/G5500990.epw

WI, Racine County

0.061%

true

53402

-6

../../../weather/G5501010.epw

WI, Richland County

0.0066%

true

53581

-6

../../../weather/G5501030.epw

WI, Rock County

0.051%

true

53511

-6

../../../weather/G5501050.epw

WI, Rusk County

0.0067%

true

54848

-6

../../../weather/G5501070.epw

WI, Sauk County

0.022%

true

53913

-6

../../../weather/G5501110.epw

WI, Sawyer County

0.012%

true

54843

-6

../../../weather/G5501130.epw

WI, Shawano County

0.015%

true

54166

-6

../../../weather/G5501150.epw

WI, Sheboygan County

0.038%

true

53081

-6

../../../weather/G5501170.epw

WI, St. Croix County

0.026%

true

54016

-6

../../../weather/G5501090.epw

WI, Taylor County

0.0079%

true

54451

-6

../../../weather/G5501190.epw

WI, Trempealeau County

0.0096%

true

54612

-6

../../../weather/G5501210.epw

WI, Vernon County

0.01%

true

54665

-6

../../../weather/G5501230.epw

WI, Vilas County

0.019%

true

54521

-6

../../../weather/G5501250.epw

WI, Walworth County

0.039%

true

53147

-6

../../../weather/G5501270.epw

WI, Washburn County

0.0097%

true

54801

-6

../../../weather/G5501290.epw

WI, Washington County

0.041%

true

53022

-6

../../../weather/G5501310.epw

WI, Waukesha County

0.12%

true

53051

-6

../../../weather/G5501330.epw

WI, Waupaca County

0.019%

true

54981

-6

../../../weather/G5501350.epw

WI, Waushara County

0.011%

true

54982

-6

../../../weather/G5501370.epw

WI, Winnebago County

0.055%

true

54956

-6

../../../weather/G5501390.epw

WI, Wood County

0.026%

true

54449

-6

../../../weather/G5501410.epw

WV, Barbour County

0.0059%

true

26416

-5

../../../weather/G5400010.epw

WV, Berkeley County

0.035%

true

25404

-5

../../../weather/G5400030.epw

WV, Boone County

0.0082%

true

25130

-5

../../../weather/G5400050.epw

WV, Braxton County

0.0055%

true

26601

-5

../../../weather/G5400070.epw

WV, Brooke County

0.0081%

true

26070

-5

../../../weather/G5400090.epw

WV, Cabell County

0.035%

true

25701

-5

../../../weather/G5400110.epw

WV, Calhoun County

0.0029%

true

26147

-5

../../../weather/G5400130.epw

WV, Clay County

0.0034%

true

25043

-5

../../../weather/G5400150.epw

WV, Doddridge County

0.0029%

true

26456

-5

../../../weather/G5400170.epw

WV, Fayette County

0.016%

true

25901

-5

../../../weather/G5400190.epw

WV, Gilmer County

0.0026%

true

26351

-5

../../../weather/G5400210.epw

WV, Grant County

0.0048%

true

26847

-5

../../../weather/G5400230.epw

WV, Greenbrier County

0.014%

true

24901

-5

../../../weather/G5400250.epw

WV, Hampshire County

0.01%

true

26757

-5

../../../weather/G5400270.epw

WV, Hancock County

0.011%

true

26062

-5

../../../weather/G5400290.epw

WV, Hardy County

0.0061%

true

26836

-5

../../../weather/G5400310.epw

WV, Harrison County

0.024%

true

26301

-5

../../../weather/G5400330.epw

WV, Jackson County

0.0099%

true

25271

-5

../../../weather/G5400350.epw

WV, Jefferson County

0.017%

true

25414

-5

../../../weather/G5400370.epw

WV, Kanawha County

0.069%

true

25177

-5

../../../weather/G5400390.epw

WV, Lewis County

0.0059%

true

26452

-5

../../../weather/G5400410.epw

WV, Lincoln County

0.0073%

true

25506

-5

../../../weather/G5400430.epw

WV, Logan County

0.012%

true

25601

-5

../../../weather/G5400450.epw

WV, Marion County

0.02%

true

26554

-5

../../../weather/G5400490.epw

WV, Marshall County

0.012%

true

26041

-5

../../../weather/G5400510.epw

WV, Mason County

0.0097%

true

25550

-5

../../../weather/G5400530.epw

WV, McDowell County

0.0083%

true

24801

-5

../../../weather/G5400470.epw

WV, Mercer County

0.022%

true

24701

-5

../../../weather/G5400550.epw

WV, Mineral County

0.0098%

true

26726

-5

../../../weather/G5400570.epw

WV, Mingo County

0.0094%

true

25661

-5

../../../weather/G5400590.epw

WV, Monongalia County

0.033%

true

26505

-5

../../../weather/G5400610.epw

WV, Monroe County

0.0057%

true

24963

-5

../../../weather/G5400630.epw

WV, Morgan County

0.0073%

true

25411

-5

../../../weather/G5400650.epw

WV, Nicholas County

0.0097%

true

26651

-5

../../../weather/G5400670.epw

WV, Ohio County

0.016%

true

26003

-5

../../../weather/G5400690.epw

WV, Pendleton County

0.0039%

true

26807

-5

../../../weather/G5400710.epw

WV, Pleasants County

0.0025%

true

26170

-5

../../../weather/G5400730.epw

WV, Pocahontas County

0.0066%

true

24954

-5

../../../weather/G5400750.epw

WV, Preston County

0.011%

true

26537

-5

../../../weather/G5400770.epw

WV, Putnam County

0.018%

true

25526

-5

../../../weather/G5400790.epw

WV, Raleigh County

0.027%

true

25801

-5

../../../weather/G5400810.epw

WV, Randolph County

0.011%

true

26241

-5

../../../weather/G5400830.epw

WV, Ritchie County

0.0043%

true

26362

-5

../../../weather/G5400850.epw

WV, Roane County

0.0055%

true

25276

-5

../../../weather/G5400870.epw

WV, Summers County

0.0057%

true

25951

-5

../../../weather/G5400890.epw

WV, Taylor County

0.0056%

true

26354

-5

../../../weather/G5400910.epw

WV, Tucker County

0.004%

true

26287

-5

../../../weather/G5400930.epw

WV, Tyler County

0.0037%

true

26175

-5

../../../weather/G5400950.epw

WV, Upshur County

0.0084%

true

26201

-5

../../../weather/G5400970.epw

WV, Wayne County

0.014%

true

25704

-5

../../../weather/G5400990.epw

WV, Webster County

0.004%

true

26288

-5

../../../weather/G5401010.epw

WV, Wetzel County

0.0061%

true

26155

-5

../../../weather/G5401030.epw

WV, Wirt County

0.0024%

true

26143

-5

../../../weather/G5401050.epw

WV, Wood County

0.03%

true

26101

-5

../../../weather/G5401070.epw

WV, Wyoming County

0.0081%

true

25882

-5

../../../weather/G5401090.epw

WY, Albany County

0.014%

true

82070

-7

../../../weather/G5600010.epw

WY, Big Horn County

0.004%

true

82431

-7

../../../weather/G5600030.epw

WY, Campbell County

0.015%

true

82718

-7

../../../weather/G5600050.epw

WY, Carbon County

0.0064%

true

82301

-7

../../../weather/G5600070.epw

WY, Converse County

0.0049%

true

82633

-7

../../../weather/G5600090.epw

WY, Crook County

0.0027%

true

82729

-7

../../../weather/G5600110.epw

WY, Fremont County

0.013%

true

82501

-7

../../../weather/G5600130.epw

WY, Goshen County

0.0044%

true

82240

-7

../../../weather/G5600150.epw

WY, Hot Springs County

0.0019%

true

82443

-7

../../../weather/G5600170.epw

WY, Johnson County

0.0034%

true

82834

-7

../../../weather/G5600190.epw

WY, Laramie County

0.031%

true

82001

-7

../../../weather/G5600210.epw

WY, Lincoln County

0.0067%

true

83127

-7

../../../weather/G5600230.epw

WY, Natrona County

0.027%

true

82601

-7

../../../weather/G5600250.epw

WY, Niobrara County

0.00096%

true

82225

-7

../../../weather/G5600270.epw

WY, Park County

0.01%

true

82414

-7

../../../weather/G5600290.epw

WY, Platte County

0.0035%

true

82201

-7

../../../weather/G5600310.epw

WY, Sheridan County

0.011%

true

82801

-7

../../../weather/G5600330.epw

WY, Sublette County

0.0044%

true

82941

-7

../../../weather/G5600350.epw

WY, Sweetwater County

0.014%

true

82901

-7

../../../weather/G5600370.epw

WY, Teton County

0.0099%

true

83001

-7

../../../weather/G5600390.epw

WY, Uinta County

0.0065%

true

82930

-7

../../../weather/G5600410.epw

WY, Washakie County

0.0028%

true

82401

-7

../../../weather/G5600430.epw

WY, Weston County

0.0026%

true

82701

-7

../../../weather/G5600450.epw

County Metro Status

Description

The Metro Status of the county that the sample is located, based on MSA and MicroSA.

Created by

sources/spatial/tsv_maker.py

Source

Options

From project_national the list of options, option stock saturation, and option arguments for the County Metro Status characteristic.

Option name

Stock saturation

Metropolitan

83%

Non-Metropolitan

17%

County and PUMA

Description

The GISJOIN identifier for the County and the Public Use Microdata Area that the sample is located.

Created by

sources/spatial/tsv_maker.py

Source

  • Spatial definitions are from the U.S. Census Bureau as of July 1, 2015.

  • Unit counts are from the American Community Survey 5-yr 2016.

Options

From project_national the list of options, option stock saturation, and option arguments for the County and PUMA characteristic.

Option name

Stock saturation

G0100010, G01002100

0.017%

G0100030, G01002600

0.08%

G0100050, G01002400

0.0088%

G0100070, G01001700

0.0067%

G0100090, G01000800

0.018%

G0100110, G01002400

0.0033%

G0100130, G01002300

0.0074%

G0100150, G01001100

0.04%

G0100170, G01001800

0.013%

G0100190, G01001000

0.012%

G0100210, G01001800

0.014%

G0100230, G01002200

0.0054%

G0100250, G01002200

0.0094%

G0100270, G01001000

0.005%

G0100290, G01001000

0.005%

G0100310, G01002300

0.017%

G0100330, G01000100

0.02%

G0100350, G01002200

0.0053%

G0100370, G01001800

0.0048%

G0100390, G01002300

0.014%

G0100410, G01002300

0.005%

G0100430, G01000700

0.028%

G0100450, G01002500

0.017%

G0100470, G01001700

0.015%

G0100490, G01000400

0.023%

G0100510, G01002100

0.025%

G0100530, G01002200

0.012%

G0100550, G01000900

0.035%

G0100570, G01001400

0.0063%

G0100590, G01000100

0.01%

G0100610, G01002500

0.0094%

G0100630, G01001700

0.0037%

G0100650, G01001700

0.0057%

G0100670, G01002500

0.0067%

G0100690, G01002500

0.035%

G0100710, G01000400

0.018%

G0100730, G01001301

0.038%

G0100730, G01001302

0.041%

G0100730, G01001303

0.057%

G0100730, G01001304

0.056%

G0100730, G01001305

0.036%

G0100750, G01001400

0.0055%

G0100770, G01000100

0.033%

G0100790, G01000600

0.011%

G0100810, G01001900

0.049%

G0100830, G01000200

0.026%

G0100850, G01002100

0.0038%

G0100870, G01002400

0.0076%

G0100890, G01000200

0.029%

G0100890, G01000301

0.041%

G0100890, G01000302

0.037%

G0100890, G01000500

0.0085%

G0100910, G01001700

0.0076%

G0100930, G01000100

0.0025%

G0100930, G01001400

0.0084%

G0100950, G01000500

0.03%

G0100970, G01002701

0.038%

G0100970, G01002702

0.038%

G0100970, G01002703

0.059%

G0100990, G01002200

0.0084%

G0101010, G01002000

0.067%

G0101010, G01002100

0.011%

G0101030, G01000600

0.038%

G0101050, G01001700

0.0035%

G0101070, G01001500

0.007%

G0101090, G01002400

0.012%

G0101110, G01001000

0.0089%

G0101130, G01002400

0.02%

G0101150, G01000800

0.027%

G0101170, G01001200

0.062%

G0101190, G01001700

0.005%

G0101210, G01001000

0.028%

G0101230, G01001800

0.016%

G0101250, G01001500

0.025%

G0101250, G01001600

0.041%

G0101270, G01001400

0.023%

G0101290, G01002200

0.0062%

G0101310, G01002200

0.0042%

G0101330, G01000700

0.01%

G0200130, G02000400

0.00075%

G0200160, G02000400

0.0015%

G0200200, G02000101

0.038%

G0200200, G02000102

0.048%

G0200500, G02000400

0.0045%

G0200600, G02000400

0.00068%

G0200680, G02000300

0.0013%

G0200700, G02000400

0.0018%

G0200900, G02000300

0.031%

G0201000, G02000300

0.0012%

G0201050, G02000400

0.0012%

G0201100, G02000300

0.0099%

G0201220, G02000200

0.023%

G0201300, G02000300

0.0047%

G0201500, G02000400

0.004%

G0201580, G02000400

0.0017%

G0201640, G02000400

0.0011%

G0201700, G02000200

0.031%

G0201800, G02000400

0.003%

G0201850, G02000400

0.0019%

G0201880, G02000400

0.002%

G0201950, G02000400

0.0013%

G0201980, G02000400

0.0025%

G0202200, G02000400

0.0031%

G0202300, G02000300

0.00048%

G0202400, G02000300

0.0029%

G0202610, G02000300

0.0046%

G0202750, G02000400

0.0011%

G0202820, G02000400

0.00029%

G0202900, G02000400

0.003%

G0400010, G04000300

0.024%

G0400030, G04000900

0.045%

G0400050, G04000400

0.048%

G0400070, G04000800

0.025%

G0400090, G04000800

0.0099%

G0400110, G04000800

0.0033%

G0400120, G04000600

0.012%

G0400130, G04000100

0.033%

G0400130, G04000101

0.055%

G0400130, G04000102

0.043%

G0400130, G04000103

0.034%

G0400130, G04000104

0.04%

G0400130, G04000105

0.036%

G0400130, G04000106

0.033%

G0400130, G04000107

0.033%

G0400130, G04000108

0.032%

G0400130, G04000109

0.036%

G0400130, G04000110

0.053%

G0400130, G04000111

0.045%

G0400130, G04000112

0.043%

G0400130, G04000113

0.035%

G0400130, G04000114

0.037%

G0400130, G04000115

0.034%

G0400130, G04000116

0.039%

G0400130, G04000117

0.038%

G0400130, G04000118

0.037%

G0400130, G04000119

0.026%

G0400130, G04000120

0.033%

G0400130, G04000121

0.031%

G0400130, G04000122

0.025%

G0400130, G04000123

0.026%

G0400130, G04000124

0.029%

G0400130, G04000125

0.03%

G0400130, G04000126

0.038%

G0400130, G04000127

0.034%

G0400130, G04000128

0.031%

G0400130, G04000129

0.034%

G0400130, G04000130

0.053%

G0400130, G04000131

0.036%

G0400130, G04000132

0.03%

G0400130, G04000133

0.028%

G0400130, G04000134

0.034%

G0400150, G04000600

0.084%

G0400170, G04000300

0.043%

G0400190, G04000201

0.032%

G0400190, G04000202

0.039%

G0400190, G04000203

0.038%

G0400190, G04000204

0.041%

G0400190, G04000205

0.04%

G0400190, G04000206

0.042%

G0400190, G04000207

0.037%

G0400190, G04000208

0.029%

G0400190, G04000209

0.039%

G0400210, G04000800

0.004%

G0400210, G04000803

0.047%

G0400210, G04000805

0.034%

G0400210, G04000807

0.04%

G0400230, G04000900

0.014%

G0400250, G04000500

0.084%

G0400270, G04000700

0.067%

G0500010, G05001700

0.004%

G0500010, G05001800

0.003%

G0500030, G05001800

0.0075%

G0500050, G05000300

0.017%

G0500070, G05000100

0.073%

G0500090, G05000300

0.013%

G0500110, G05001800

0.0043%

G0500130, G05001900

0.0022%

G0500150, G05000300

0.01%

G0500170, G05001800

0.004%

G0500190, G05001600

0.0078%

G0500210, G05000500

0.006%

G0500230, G05000400

0.012%

G0500250, G05001800

0.003%

G0500270, G05001900

0.0086%

G0500290, G05001300

0.0073%

G0500310, G05000500

0.029%

G0500310, G05000600

0.0032%

G0500330, G05001400

0.02%

G0500350, G05000600

0.016%

G0500370, G05000700

0.0059%

G0500390, G05001900

0.0032%

G0500410, G05001800

0.0047%

G0500430, G05001800

0.0063%

G0500450, G05001100

0.036%

G0500470, G05001500

0.006%

G0500490, G05000400

0.005%

G0500510, G05001600

0.038%

G0500530, G05001700

0.0058%

G0500550, G05000500

0.014%

G0500570, G05002000

0.0078%

G0500590, G05001600

0.011%

G0500610, G05001500

0.0046%

G0500630, G05000400

0.012%

G0500650, G05000400

0.0054%

G0500670, G05000800

0.0057%

G0500690, G05001700

0.025%

G0500710, G05001300

0.0085%

G0500730, G05002000

0.0032%

G0500750, G05000500

0.0059%

G0500770, G05000700

0.0033%

G0500790, G05001800

0.0036%

G0500810, G05002000

0.0048%

G0500830, G05001500

0.0076%

G0500850, G05001100

0.021%

G0500870, G05000300

0.0056%

G0500890, G05000300

0.007%

G0500910, G05002000

0.014%

G0500930, G05000600

0.015%

G0500950, G05000700

0.0033%

G0500970, G05001600

0.0043%

G0500990, G05002000

0.0034%

G0501010, G05000300

0.0035%

G0501030, G05001900

0.0097%

G0501050, G05001300

0.0037%

G0501070, G05000700

0.0076%

G0501090, G05002000

0.0042%

G0501110, G05000700

0.0082%

G0501130, G05001500

0.0075%

G0501150, G05001300

0.019%

G0501170, G05000800

0.0034%

G0501190, G05000900

0.068%

G0501190, G05001000

0.067%

G0501210, G05000500

0.0064%

G0501230, G05000700

0.0081%

G0501250, G05001200

0.035%

G0501270, G05001500

0.0039%

G0501290, G05000300

0.0037%

G0501310, G05001400

0.042%

G0501330, G05001500

0.0051%

G0501350, G05000400

0.0073%

G0501370, G05000400

0.005%

G0501390, G05001900

0.015%

G0501410, G05000400

0.0077%

G0501430, G05000200

0.067%

G0501450, G05000800

0.025%

G0501470, G05000800

0.0029%

G0501490, G05001300

0.0073%

G0600010, G06000101

0.043%

G0600010, G06000102

0.058%

G0600010, G06000103

0.043%

G0600010, G06000104

0.033%

G0600010, G06000105

0.05%

G0600010, G06000106

0.037%

G0600010, G06000107

0.036%

G0600010, G06000108

0.032%

G0600010, G06000109

0.05%

G0600010, G06000110

0.06%

G0600030, G06000300

0.0013%

G0600050, G06000300

0.014%

G0600070, G06000701

0.038%

G0600070, G06000702

0.035%

G0600090, G06000300

0.021%

G0600110, G06001100

0.0059%

G0600130, G06001301

0.031%

G0600130, G06001302

0.035%

G0600130, G06001303

0.039%

G0600130, G06001304

0.039%

G0600130, G06001305

0.034%

G0600130, G06001306

0.036%

G0600130, G06001307

0.032%

G0600130, G06001308

0.028%

G0600130, G06001309

0.029%

G0600150, G06001500

0.0084%

G0600170, G06001700

0.066%

G0600190, G06001901

0.031%

G0600190, G06001902

0.053%

G0600190, G06001903

0.026%

G0600190, G06001904

0.043%

G0600190, G06001905

0.024%

G0600190, G06001906

0.03%

G0600190, G06001907

0.034%

G0600210, G06001100

0.0081%

G0600230, G06002300

0.047%

G0600250, G06002500

0.042%

G0600270, G06000300

0.0071%

G0600290, G06002901

0.041%

G0600290, G06002902

0.054%

G0600290, G06002903

0.04%

G0600290, G06002904

0.024%

G0600290, G06002905

0.059%

G0600310, G06003100

0.034%

G0600330, G06003300

0.027%

G0600350, G06001500

0.0095%

G0600370, G06003701

0.033%

G0600370, G06003702

0.05%

G0600370, G06003703

0.042%

G0600370, G06003704

0.038%

G0600370, G06003705

0.046%

G0600370, G06003706

0.032%

G0600370, G06003707

0.027%

G0600370, G06003708

0.032%

G0600370, G06003709

0.031%

G0600370, G06003710

0.036%

G0600370, G06003711

0.044%

G0600370, G06003712

0.03%

G0600370, G06003713

0.026%

G0600370, G06003714

0.027%

G0600370, G06003715

0.025%

G0600370, G06003716

0.02%

G0600370, G06003717

0.051%

G0600370, G06003718

0.044%

G0600370, G06003719

0.057%

G0600370, G06003720

0.038%

G0600370, G06003721

0.042%

G0600370, G06003722

0.046%

G0600370, G06003723

0.03%

G0600370, G06003724

0.047%

G0600370, G06003725

0.05%

G0600370, G06003726

0.031%

G0600370, G06003727

0.057%

G0600370, G06003728

0.044%

G0600370, G06003729

0.07%

G0600370, G06003730

0.059%

G0600370, G06003731

0.049%

G0600370, G06003732

0.064%

G0600370, G06003733

0.036%

G0600370, G06003734

0.059%

G0600370, G06003735

0.048%

G0600370, G06003736

0.033%

G0600370, G06003737

0.03%

G0600370, G06003738

0.028%

G0600370, G06003739

0.04%

G0600370, G06003740

0.03%

G0600370, G06003741

0.027%

G0600370, G06003742

0.024%

G0600370, G06003743

0.024%

G0600370, G06003744

0.048%

G0600370, G06003745

0.022%

G0600370, G06003746

0.025%

G0600370, G06003747

0.048%

G0600370, G06003748

0.065%

G0600370, G06003749

0.029%

G0600370, G06003750

0.041%

G0600370, G06003751

0.03%

G0600370, G06003752

0.031%

G0600370, G06003753

0.025%

G0600370, G06003754

0.03%

G0600370, G06003755

0.025%

G0600370, G06003756

0.026%

G0600370, G06003757

0.031%

G0600370, G06003758

0.04%

G0600370, G06003759

0.028%

G0600370, G06003760

0.047%

G0600370, G06003761

0.037%

G0600370, G06003762

0.025%

G0600370, G06003763

0.034%

G0600370, G06003764

0.039%

G0600370, G06003765

0.042%

G0600370, G06003766

0.027%

G0600370, G06003767

0.047%

G0600370, G06003768

0.035%

G0600370, G06003769

0.03%

G0600390, G06003900

0.037%

G0600410, G06004101

0.036%

G0600410, G06004102

0.048%

G0600430, G06000300

0.0077%

G0600450, G06003300

0.03%

G0600470, G06004701

0.025%

G0600470, G06004702

0.038%

G0600490, G06001500

0.0039%

G0600510, G06000300

0.01%

G0600530, G06005301

0.056%

G0600530, G06005302

0.035%

G0600530, G06005303

0.014%

G0600550, G06005500

0.041%

G0600570, G06005700

0.04%

G0600590, G06005901

0.059%

G0600590, G06005902

0.029%

G0600590, G06005903

0.073%

G0600590, G06005904

0.065%

G0600590, G06005905

0.054%

G0600590, G06005906

0.047%

G0600590, G06005907

0.049%

G0600590, G06005908

0.048%

G0600590, G06005909

0.033%

G0600590, G06005910

0.044%

G0600590, G06005911

0.034%

G0600590, G06005912

0.04%

G0600590, G06005913

0.033%

G0600590, G06005914

0.059%

G0600590, G06005915

0.027%

G0600590, G06005916

0.026%

G0600590, G06005917

0.03%

G0600590, G06005918

0.052%

G0600610, G06006101

0.039%

G0600610, G06006102

0.034%

G0600610, G06006103

0.045%

G0600630, G06001500

0.012%

G0600650, G06006501

0.052%

G0600650, G06006502

0.065%

G0600650, G06006503

0.033%

G0600650, G06006504

0.031%

G0600650, G06006505

0.047%

G0600650, G06006506

0.043%

G0600650, G06006507

0.041%

G0600650, G06006508

0.039%

G0600650, G06006509

0.025%

G0600650, G06006510

0.036%

G0600650, G06006511

0.039%

G0600650, G06006512

0.024%

G0600650, G06006513

0.035%

G0600650, G06006514

0.031%

G0600650, G06006515

0.07%

G0600670, G06006701

0.033%

G0600670, G06006702

0.033%

G0600670, G06006703

0.037%

G0600670, G06006704

0.039%

G0600670, G06006705

0.031%

G0600670, G06006706

0.029%

G0600670, G06006707

0.046%

G0600670, G06006708

0.037%

G0600670, G06006709

0.038%

G0600670, G06006710

0.038%

G0600670, G06006711

0.027%

G0600670, G06006712

0.032%

G0600690, G06005303

0.014%

G0600710, G06007101

0.05%

G0600710, G06007102

0.037%

G0600710, G06007103

0.043%

G0600710, G06007104

0.056%

G0600710, G06007105

0.039%

G0600710, G06007106

0.026%

G0600710, G06007107

0.025%

G0600710, G06007108

0.036%

G0600710, G06007109

0.022%

G0600710, G06007110

0.021%

G0600710, G06007111

0.044%

G0600710, G06007112

0.032%

G0600710, G06007113

0.039%

G0600710, G06007114

0.035%

G0600710, G06007115

0.023%

G0600730, G06007301

0.05%

G0600730, G06007302

0.036%

G0600730, G06007303

0.027%

G0600730, G06007304

0.038%

G0600730, G06007305

0.033%

G0600730, G06007306

0.033%

G0600730, G06007307

0.029%

G0600730, G06007308

0.036%

G0600730, G06007309

0.05%

G0600730, G06007310

0.062%

G0600730, G06007311

0.03%

G0600730, G06007312

0.032%

G0600730, G06007313

0.047%

G0600730, G06007314

0.047%

G0600730, G06007315

0.049%

G0600730, G06007316

0.064%

G0600730, G06007317

0.046%

G0600730, G06007318

0.034%

G0600730, G06007319

0.034%

G0600730, G06007320

0.034%

G0600730, G06007321

0.043%

G0600730, G06007322

0.03%

G0600750, G06007501

0.052%

G0600750, G06007502

0.05%

G0600750, G06007503

0.054%

G0600750, G06007504

0.042%

G0600750, G06007505

0.034%

G0600750, G06007506

0.031%

G0600750, G06007507

0.025%

G0600770, G06007701

0.047%

G0600770, G06007702

0.038%

G0600770, G06007703

0.048%

G0600770, G06007704

0.044%

G0600790, G06007901

0.057%

G0600790, G06007902

0.032%

G0600810, G06008101

0.035%

G0600810, G06008102

0.031%

G0600810, G06008103

0.032%

G0600810, G06008104

0.037%

G0600810, G06008105

0.039%

G0600810, G06008106

0.029%

G0600830, G06008301

0.028%

G0600830, G06008302

0.027%

G0600830, G06008303

0.06%

G0600850, G06008501

0.062%

G0600850, G06008502

0.045%

G0600850, G06008503

0.041%

G0600850, G06008504

0.031%

G0600850, G06008505

0.022%

G0600850, G06008506

0.028%

G0600850, G06008507

0.039%

G0600850, G06008508

0.04%

G0600850, G06008509

0.036%

G0600850, G06008510

0.041%

G0600850, G06008511

0.029%

G0600850, G06008512

0.027%

G0600850, G06008513

0.024%

G0600850, G06008514

0.02%

G0600870, G06008701

0.038%

G0600870, G06008702

0.04%

G0600890, G06008900

0.058%

G0600910, G06005700

0.0018%

G0600930, G06001500

0.018%

G0600950, G06009501

0.043%

G0600950, G06009502

0.036%

G0600950, G06009503

0.036%

G0600970, G06009701

0.065%

G0600970, G06009702

0.035%

G0600970, G06009703

0.054%

G0600990, G06009901

0.026%

G0600990, G06009902

0.03%

G0600990, G06009903

0.047%

G0600990, G06009904

0.031%

G0601010, G06010100

0.025%

G0601030, G06001100

0.02%

G0601050, G06001100

0.0066%

G0601070, G06010701

0.036%

G0601070, G06010702

0.035%

G0601070, G06010703

0.037%

G0601090, G06000300

0.023%

G0601110, G06011101

0.03%

G0601110, G06011102

0.042%

G0601110, G06011103

0.042%

G0601110, G06011104

0.035%

G0601110, G06011105

0.03%

G0601110, G06011106

0.033%

G0601130, G06011300

0.057%

G0601150, G06010100

0.021%

G0800010, G08000804

0.0017%

G0800010, G08000805

0.03%

G0800010, G08000806

0.038%

G0800010, G08000807

0.04%

G0800010, G08000809

0.0014%

G0800010, G08000810

0.0065%

G0800010, G08000817

0.00096%

G0800010, G08000824

0.0051%

G0800030, G08000800

0.005%

G0800050, G08000808

0.029%

G0800050, G08000809

0.033%

G0800050, G08000810

0.027%

G0800050, G08000811

0.036%

G0800050, G08000815

0.011%

G0800050, G08000820

0.029%

G0800050, G08000824

0.016%

G0800070, G08000900

0.0067%

G0800090, G08000800

0.0017%

G0800110, G08000100

0.0016%

G0800130, G08000801

0.0088%

G0800130, G08000802

0.033%

G0800130, G08000803

0.039%

G0800130, G08000804

0.017%

G0800140, G08000804

0.018%

G0800140, G08000805

0.0015%

G0800150, G08000600

0.0077%

G0800170, G08000100

0.00069%

G0800190, G08000801

0.0042%

G0800210, G08000800

0.0032%

G0800230, G08000800

0.002%

G0800250, G08000100

0.0012%

G0800270, G08000600

0.0032%

G0800290, G08001002

0.011%

G0800310, G08000812

0.048%

G0800310, G08000813

0.041%

G0800310, G08000814

0.046%

G0800310, G08000815

0.054%

G0800310, G08000816

0.034%

G0800330, G08000900

0.001%

G0800350, G08000821

0.03%

G0800350, G08000822

0.03%

G0800350, G08000823

0.028%

G0800370, G08000400

0.024%

G0800390, G08000100

0.0013%

G0800390, G08000823

0.0055%

G0800410, G08004101

0.024%

G0800410, G08004102

0.04%

G0800410, G08004103

0.037%

G0800410, G08004104

0.033%

G0800410, G08004105

0.034%

G0800410, G08004106

0.031%

G0800430, G08000600

0.014%

G0800450, G08000200

0.017%

G0800470, G08000801

0.0026%

G0800490, G08000400

0.012%

G0800510, G08000900

0.0086%

G0800530, G08000900

0.0011%

G0800550, G08000600

0.0038%

G0800570, G08000400

0.00096%

G0800590, G08000801

0.021%

G0800590, G08000804

0.01%

G0800590, G08000805

0.005%

G0800590, G08000817

0.036%

G0800590, G08000818

0.04%

G0800590, G08000819

0.045%

G0800590, G08000820

0.008%

G0800590, G08000821

0.0091%

G0800610, G08000100

0.00061%

G0800630, G08000100

0.0026%

G0800650, G08000600

0.0034%

G0800670, G08000900

0.02%

G0800690, G08000102

0.042%

G0800690, G08000103

0.061%

G0800710, G08000800

0.0062%

G0800730, G08000100

0.0015%

G0800750, G08000100

0.0067%

G0800770, G08001001

0.042%

G0800770, G08001002

0.0062%

G0800790, G08000800

0.00096%

G0800810, G08000200

0.0046%

G0800830, G08000900

0.009%

G0800850, G08001002

0.014%

G0800870, G08000100

0.0086%

G0800890, G08000800

0.0066%

G0800910, G08001002

0.0024%

G0800930, G08000600

0.011%

G0800950, G08000100

0.0015%

G0800970, G08000400

0.0097%

G0800990, G08000800

0.0044%

G0801010, G08000600

0.0018%

G0801010, G08000700

0.049%

G0801010, G08000800

0.0011%

G0801030, G08000200

0.0025%

G0801050, G08000800

0.0049%

G0801070, G08000200

0.012%

G0801090, G08000800

0.0029%

G0801110, G08000900

0.00055%

G0801130, G08001002

0.005%

G0801150, G08000100

0.00097%

G0801170, G08000400

0.023%

G0801190, G08004101

0.0096%

G0801210, G08000100

0.0018%

G0801230, G08000100

0.0015%

G0801230, G08000300

0.051%

G0801230, G08000802

0.014%

G0801230, G08000824

0.0079%

G0801250, G08000100

0.0033%

G0900010, G09000100

0.05%

G0900010, G09000101

0.031%

G0900010, G09000102

0.057%

G0900010, G09000103

0.039%

G0900010, G09000104

0.043%

G0900010, G09000105

0.052%

G0900030, G09000300

0.047%

G0900030, G09000301

0.035%

G0900030, G09000302

0.04%

G0900030, G09000303

0.05%

G0900030, G09000304

0.036%

G0900030, G09000305

0.036%

G0900030, G09000306

0.037%

G0900050, G09000500

0.065%

G0900070, G09000700

0.056%

G0900090, G09000900

0.039%

G0900090, G09000901

0.035%

G0900090, G09000902

0.043%

G0900090, G09000903

0.037%

G0900090, G09000904

0.038%

G0900090, G09000905

0.042%

G0900090, G09000906

0.037%

G0900110, G09001100

0.044%

G0900110, G09001101

0.047%

G0900130, G09001300

0.044%

G0900150, G09001500

0.037%

G1000010, G10000200

0.051%

G1000030, G10000101

0.037%

G1000030, G10000102

0.046%

G1000030, G10000103

0.043%

G1000030, G10000104

0.04%

G1000050, G10000300

0.096%

G1100010, G11000101

0.039%

G1100010, G11000102

0.038%

G1100010, G11000103

0.038%

G1100010, G11000104

0.051%

G1100010, G11000105

0.064%

G1200010, G12000101

0.049%

G1200010, G12000102

0.036%

G1200030, G12008900

0.0072%

G1200050, G12000500

0.075%

G1200070, G12002300

0.0081%

G1200090, G12000901

0.066%

G1200090, G12000902

0.051%

G1200090, G12000903

0.042%

G1200090, G12000904

0.044%

G1200110, G12001101

0.04%

G1200110, G12001102

0.039%

G1200110, G12001103

0.042%

G1200110, G12001104

0.056%

G1200110, G12001105

0.058%

G1200110, G12001106

0.055%

G1200110, G12001107

0.032%

G1200110, G12001108

0.055%

G1200110, G12001109

0.037%

G1200110, G12001110

0.035%

G1200110, G12001111

0.036%

G1200110, G12001112

0.04%

G1200110, G12001113

0.042%

G1200110, G12001114

0.042%

G1200130, G12006300

0.0044%

G1200150, G12001500

0.076%

G1200170, G12001701

0.058%

G1200190, G12001900

0.058%

G1200210, G12002101

0.053%

G1200210, G12002102

0.053%

G1200210, G12002103

0.046%

G1200230, G12002300

0.021%

G1200270, G12002700

0.011%

G1200290, G12002300

0.0068%

G1200310, G12003101

0.036%

G1200310, G12003102

0.041%

G1200310, G12003103

0.036%

G1200310, G12003104

0.044%

G1200310, G12003105

0.046%

G1200310, G12003106

0.04%

G1200310, G12003107

0.053%

G1200330, G12003301

0.037%

G1200330, G12003302

0.067%

G1200350, G12003500

0.037%

G1200370, G12006300

0.0064%

G1200390, G12006300

0.014%

G1200410, G12002300

0.0054%

G1200430, G12009300

0.0051%

G1200450, G12006300

0.0069%

G1200470, G12012100

0.0043%

G1200490, G12002700

0.0072%

G1200510, G12009300

0.011%

G1200530, G12005301

0.063%

G1200550, G12002700

0.036%

G1200550, G12009300

0.0049%

G1200570, G12005701

0.048%

G1200570, G12005702

0.062%

G1200570, G12005703

0.047%

G1200570, G12005704

0.051%

G1200570, G12005705

0.05%

G1200570, G12005706

0.037%

G1200570, G12005707

0.058%

G1200570, G12005708

0.062%

G1200590, G12000500

0.0064%

G1200610, G12006100

0.058%

G1200630, G12006300

0.016%

G1200650, G12006300

0.0049%

G1200670, G12012100

0.0024%

G1200690, G12006901

0.038%

G1200690, G12006902

0.024%

G1200690, G12006903

0.047%

G1200710, G12007101

0.075%

G1200710, G12007102

0.063%

G1200710, G12007103

0.049%

G1200710, G12007104

0.043%

G1200710, G12007105

0.051%

G1200730, G12007300

0.045%

G1200730, G12007301

0.049%

G1200750, G12002300

0.015%

G1200770, G12006300

0.0026%

G1200790, G12012100

0.0063%

G1200810, G12008101

0.04%

G1200810, G12008102

0.05%

G1200810, G12008103

0.044%

G1200830, G12008301

0.039%

G1200830, G12008302

0.035%

G1200830, G12008303

0.048%

G1200850, G12008500

0.059%

G1200860, G12008601

0.029%

G1200860, G12008602

0.023%

G1200860, G12008603

0.034%

G1200860, G12008604

0.057%

G1200860, G12008605

0.026%

G1200860, G12008606

0.026%

G1200860, G12008607

0.024%

G1200860, G12008608

0.032%

G1200860, G12008609

0.024%

G1200860, G12008610

0.027%

G1200860, G12008611

0.037%

G1200860, G12008612

0.055%

G1200860, G12008613

0.036%

G1200860, G12008614

0.045%

G1200860, G12008615

0.031%

G1200860, G12008616

0.03%

G1200860, G12008617

0.028%

G1200860, G12008618

0.024%

G1200860, G12008619

0.025%

G1200860, G12008620

0.029%

G1200860, G12008621

0.024%

G1200860, G12008622

0.025%

G1200860, G12008623

0.027%

G1200860, G12008624

0.025%

G1200860, G12008700

0.0077%

G1200870, G12008700

0.04%

G1200890, G12008900

0.027%

G1200910, G12009100

0.071%

G1200930, G12009300

0.014%

G1200950, G12009501

0.038%

G1200950, G12009502

0.036%

G1200950, G12009503

0.04%

G1200950, G12009504

0.041%

G1200950, G12009505

0.044%

G1200950, G12009506

0.035%

G1200950, G12009507

0.04%

G1200950, G12009508

0.031%

G1200950, G12009509

0.038%

G1200950, G12009510

0.035%

G1200970, G12009701

0.064%

G1200970, G12009702

0.037%

G1200990, G12009901

0.042%

G1200990, G12009902

0.046%

G1200990, G12009903

0.06%

G1200990, G12009904

0.041%

G1200990, G12009905

0.04%

G1200990, G12009906

0.06%

G1200990, G12009907

0.057%

G1200990, G12009908

0.048%

G1200990, G12009909

0.037%

G1200990, G12009910

0.034%

G1200990, G12009911

0.039%

G1201010, G12010101

0.042%

G1201010, G12010102

0.038%

G1201010, G12010103

0.054%

G1201010, G12010104

0.039%

G1201030, G12010301

0.046%

G1201030, G12010302

0.044%

G1201030, G12010303

0.042%

G1201030, G12010304

0.044%

G1201030, G12010305

0.049%

G1201030, G12010306

0.042%

G1201030, G12010307

0.061%

G1201030, G12010308

0.048%

G1201050, G12010501

0.059%

G1201050, G12010502

0.062%

G1201050, G12010503

0.042%

G1201050, G12010504

0.049%

G1201070, G12010700

0.027%

G1201090, G12010700

0.011%

G1201090, G12010900

0.061%

G1201110, G12011101

0.046%

G1201110, G12011102

0.057%

G1201130, G12011300

0.05%

G1201150, G12011501

0.057%

G1201150, G12011502

0.062%

G1201150, G12011503

0.054%

G1201170, G12011701

0.037%

G1201170, G12011702

0.035%

G1201170, G12011703

0.035%

G1201170, G12011704

0.031%

G1201190, G12006902

0.04%

G1201190, G12006903

0.0072%

G1201210, G12012100

0.014%

G1201230, G12012100

0.0081%

G1201250, G12002300

0.0033%

G1201270, G12003500

0.0021%

G1201270, G12012701

0.038%

G1201270, G12012702

0.053%

G1201270, G12012703

0.06%

G1201270, G12012704

0.037%

G1201290, G12006300

0.0096%

G1201310, G12000500

0.036%

G1201330, G12000500

0.008%

G1300010, G13001200

0.0063%

G1300030, G13000500

0.0026%

G1300050, G13000500

0.0035%

G1300070, G13001100

0.0013%

G1300090, G13001600

0.015%

G1300110, G13003500

0.0056%

G1300130, G13003800

0.02%

G1300150, G13002900

0.03%

G1300170, G13000700

0.0059%

G1300190, G13000700

0.0064%

G1300210, G13001400

0.052%

G1300230, G13001300

0.0039%

G1300250, G13000500

0.0059%

G1300270, G13000700

0.0057%

G1300290, G13000200

0.0097%

G1300310, G13000300

0.022%

G1300330, G13004200

0.0073%

G1300350, G13001900

0.0069%

G1300370, G13001100

0.0018%

G1300390, G13000100

0.016%

G1300430, G13001300

0.0035%

G1300450, G13002300

0.033%

G1300470, G13002600

0.02%

G1300490, G13000500

0.0033%

G1300510, G13000401

0.055%

G1300510, G13000402

0.037%

G1300530, G13001700

0.0025%

G1300550, G13002600

0.0081%

G1300570, G13003101

0.031%

G1300570, G13003102

0.033%

G1300590, G13003600

0.039%

G1300610, G13001800

0.0014%

G1300630, G13005001

0.031%

G1300630, G13005002

0.047%

G1300650, G13000500

0.0022%

G1300670, G13003001

0.049%

G1300670, G13003002

0.037%

G1300670, G13003003

0.035%

G1300670, G13003004

0.056%

G1300670, G13003005

0.041%

G1300690, G13000500

0.013%

G1300710, G13000800

0.014%

G1300730, G13004100

0.04%

G1300750, G13000700

0.0054%

G1300770, G13002100

0.039%

G1300790, G13001600

0.0039%

G1300810, G13001800

0.008%

G1300830, G13002600

0.0054%

G1300850, G13003200

0.0079%

G1300870, G13001100

0.009%

G1300890, G13001007

0.011%

G1300890, G13001008

0.037%

G1300890, G13002001

0.039%

G1300890, G13002002

0.044%

G1300890, G13002003

0.052%

G1300890, G13002004

0.046%

G1300910, G13001300

0.0073%

G1300930, G13001800

0.0046%

G1300950, G13000900

0.03%

G1300970, G13004400

0.039%

G1300990, G13001100

0.0037%

G1301010, G13000500

0.0012%

G1301030, G13000300

0.015%

G1301050, G13003700

0.0071%

G1301070, G13001300

0.0074%

G1301090, G13001200

0.0035%

G1301110, G13002800

0.012%

G1301130, G13002400

0.031%

G1301150, G13002500

0.03%

G1301170, G13003300

0.053%

G1301190, G13003500

0.0078%

G1301210, G13001001

0.043%

G1301210, G13001002

0.03%

G1301210, G13001003

0.042%

G1301210, G13001004

0.036%

G1301210, G13001005

0.046%

G1301210, G13001006

0.049%

G1301210, G13001007

0.043%

G1301210, G13004600

0.046%

G1301230, G13002800

0.012%

G1301250, G13004200

0.0011%

G1301270, G13000100

0.031%

G1301290, G13002800

0.017%

G1301310, G13001100

0.008%

G1301330, G13003700

0.0068%

G1301350, G13004001

0.042%

G1301350, G13004002

0.029%

G1301350, G13004003

0.038%

G1301350, G13004004

0.028%

G1301350, G13004005

0.032%

G1301350, G13004006

0.054%

G1301370, G13003500

0.014%

G1301390, G13003400

0.052%

G1301410, G13004200

0.0039%

G1301430, G13002500

0.0091%

G1301450, G13001800

0.01%

G1301470, G13003500

0.0097%

G1301490, G13002200

0.0038%

G1301510, G13006001

0.028%

G1301510, G13006002

0.03%

G1301530, G13001500

0.045%

G1301550, G13000700

0.003%

G1301570, G13003800

0.018%

G1301590, G13003900

0.0047%

G1301610, G13001200

0.0048%

G1301630, G13004200

0.0054%

G1301650, G13004200

0.0036%

G1301670, G13001300

0.003%

G1301690, G13001600

0.0086%

G1301710, G13001900

0.0056%

G1301730, G13000500

0.0032%

G1301750, G13001300

0.016%

G1301770, G13000900

0.008%

G1301790, G13000200

0.02%

G1301810, G13004200

0.0036%

G1301830, G13000200

0.0047%

G1301850, G13000600

0.034%

G1301870, G13003200

0.0098%

G1301890, G13004200

0.0069%

G1301910, G13000100

0.0069%

G1301930, G13001800

0.0045%

G1301950, G13003700

0.0088%

G1301970, G13001800

0.0031%

G1301990, G13002200

0.0074%

G1302010, G13001100

0.0021%

G1302050, G13001100

0.0067%

G1302070, G13001600

0.0082%

G1302090, G13001200

0.0029%

G1302110, G13003900

0.0056%

G1302130, G13002800

0.012%

G1302150, G13001700

0.063%

G1302170, G13004300

0.029%

G1302190, G13003700

0.0098%

G1302210, G13003700

0.0048%

G1302230, G13004500

0.04%

G1302250, G13001600

0.0084%

G1302270, G13002800

0.01%

G1302290, G13000500

0.0059%

G1302310, G13001900

0.0051%

G1302330, G13002500

0.013%

G1302350, G13001500

0.0035%

G1302370, G13001600

0.0095%

G1302390, G13001800

0.0015%

G1302410, G13003200

0.0093%

G1302430, G13001800

0.0027%

G1302450, G13004000

0.065%

G1302470, G13004300

0.025%

G1302490, G13001800

0.0016%

G1302510, G13000300

0.005%

G1302530, G13001100

0.0036%

G1302550, G13001900

0.02%

G1302570, G13003500

0.0093%

G1302590, G13001800

0.0017%

G1302610, G13001800

0.01%

G1302630, G13001800

0.0025%

G1302650, G13004200

0.00081%

G1302670, G13001200

0.0074%

G1302690, G13001800

0.0034%

G1302710, G13001200

0.0054%

G1302730, G13001100

0.0031%

G1302750, G13000800

0.015%

G1302770, G13000700

0.012%

G1302790, G13001200

0.009%

G1302810, G13003200

0.0059%

G1302830, G13001300

0.0024%

G1302850, G13002200

0.021%

G1302870, G13000700

0.0029%

G1302890, G13001600

0.0031%

G1302910, G13003200

0.011%

G1302930, G13001900

0.009%

G1302950, G13002600

0.022%

G1302970, G13003900

0.024%

G1302990, G13000500

0.012%

G1303010, G13004200

0.0022%

G1303030, G13004200

0.0068%

G1303050, G13001200

0.009%

G1303070, G13001800

0.001%

G1303090, G13001200

0.0019%

G1303110, G13003200

0.012%

G1303130, G13002700

0.03%

G1303150, G13001300

0.0026%

G1303170, G13004200

0.0038%

G1303190, G13001600

0.0033%

G1303210, G13000800

0.0069%

G1500010, G15000200

0.064%

G1500030, G15000301

0.023%

G1500030, G15000302

0.027%

G1500030, G15000303

0.031%

G1500030, G15000304

0.052%

G1500030, G15000305

0.029%

G1500030, G15000306

0.036%

G1500030, G15000307

0.033%

G1500030, G15000308

0.026%

G1500050, G15000100

7.3e-05%

G1500070, G15000100

0.023%

G1500090, G15000100

0.053%

G1600010, G16000400

0.011%

G1600010, G16000600

0.014%

G1600010, G16000701

0.032%

G1600010, G16000702

0.034%

G1600010, G16000800

0.035%

G1600030, G16000300

0.002%

G1600050, G16001300

0.025%

G1600070, G16001300

0.003%

G1600090, G16000100

0.0034%

G1600110, G16001100

0.011%

G1600110, G16001300

0.00074%

G1600130, G16001000

0.011%

G1600150, G16000300

0.004%

G1600170, G16000100

0.018%

G1600190, G16001200

0.03%

G1600210, G16000100

0.0039%

G1600230, G16000300

0.00096%

G1600250, G16001000

0.00061%

G1600270, G16000400

0.0065%

G1600270, G16000500

0.027%

G1600270, G16000600

0.019%

G1600290, G16001300

0.0024%

G1600310, G16000900

0.0063%

G1600330, G16000300

0.00041%

G1600350, G16000300

0.0033%

G1600370, G16000300

0.0024%

G1600390, G16001000

0.0091%

G1600410, G16001300

0.0035%

G1600430, G16001100

0.0065%

G1600450, G16000400

0.0053%

G1600470, G16001000

0.0045%

G1600490, G16000300

0.0065%

G1600510, G16001100

0.0066%

G1600530, G16001000

0.0061%

G1600550, G16000100

0.0033%

G1600550, G16000200

0.046%

G1600570, G16000100

0.012%

G1600590, G16000300

0.0035%

G1600610, G16000300

0.0014%

G1600630, G16001000

0.0015%

G1600650, G16001100

0.0095%

G1600670, G16001000

0.0058%

G1600690, G16000300

0.013%

G1600710, G16001300

0.0015%

G1600730, G16000500

0.0036%

G1600750, G16000400

0.0068%

G1600770, G16001300

0.0022%

G1600790, G16000100

0.0052%

G1600810, G16001100

0.0041%

G1600830, G16000900

0.024%

G1600850, G16000300

0.0089%

G1600870, G16000400

0.0034%

G1700010, G17000300

0.022%

G1700030, G17000800

0.003%

G1700050, G17000501

0.0053%

G1700070, G17002901

0.015%

G1700090, G17000300

0.0018%

G1700110, G17002501

0.012%

G1700130, G17000401

0.0021%

G1700150, G17000104

0.0063%

G1700170, G17000401

0.0043%

G1700190, G17002100

0.067%

G1700210, G17001602

0.012%

G1700230, G17000700

0.0058%

G1700250, G17000700

0.0047%

G1700270, G17000501

0.012%

G1700290, G17000600

0.017%

G1700310, G17003401

0.038%

G1700310, G17003407

0.052%

G1700310, G17003408

0.05%

G1700310, G17003409

0.042%

G1700310, G17003410

0.05%

G1700310, G17003411

0.053%

G1700310, G17003412

0.033%

G1700310, G17003413

0.054%

G1700310, G17003414

0.052%

G1700310, G17003415

0.038%

G1700310, G17003416

0.041%

G1700310, G17003417

0.032%

G1700310, G17003418

0.032%

G1700310, G17003419

0.038%

G1700310, G17003420

0.056%

G1700310, G17003421

0.054%

G1700310, G17003422

0.039%

G1700310, G17003501

0.069%

G1700310, G17003502

0.069%

G1700310, G17003503

0.048%

G1700310, G17003504

0.041%

G1700310, G17003520

0.039%

G1700310, G17003521

0.05%

G1700310, G17003522

0.041%

G1700310, G17003523

0.053%

G1700310, G17003524

0.063%

G1700310, G17003525

0.075%

G1700310, G17003526

0.044%

G1700310, G17003527

0.035%

G1700310, G17003528

0.046%

G1700310, G17003529

0.074%

G1700310, G17003530

0.036%

G1700310, G17003531

0.045%

G1700310, G17003532

0.041%

G1700330, G17000700

0.0065%

G1700350, G17000600

0.0036%

G1700370, G17002601

0.031%

G1700390, G17001602

0.0056%

G1700410, G17000600

0.0063%

G1700430, G17003202

0.034%

G1700430, G17003203

0.036%

G1700430, G17003204

0.045%

G1700430, G17003205

0.038%

G1700430, G17003207

0.032%

G1700430, G17003208

0.046%

G1700430, G17003209

0.035%

G1700450, G17000600

0.0065%

G1700470, G17000800

0.0024%

G1700490, G17000501

0.011%

G1700510, G17000501

0.0069%

G1700530, G17002200

0.0047%

G1700550, G17000900

0.014%

G1700570, G17000202

0.012%

G1700590, G17000800

0.002%

G1700610, G17000401

0.0048%

G1700630, G17003700

0.015%

G1700650, G17000800

0.003%

G1700670, G17000202

0.0069%

G1700690, G17000800

0.0017%

G1700710, G17000202

0.0029%

G1700730, G17000202

0.016%

G1700750, G17002200

0.01%

G1700770, G17000900

0.021%

G1700790, G17000700

0.0032%

G1700810, G17001001

0.013%

G1700830, G17000401

0.0075%

G1700850, G17000104

0.01%

G1700870, G17000800

0.0041%

G1700890, G17003005

0.036%

G1700890, G17003007

0.033%

G1700890, G17003008

0.036%

G1700890, G17003009

0.032%

G1700910, G17002300

0.034%

G1700930, G17003700

0.031%

G1700950, G17002501

0.018%

G1700970, G17003306

0.045%

G1700970, G17003307

0.038%

G1700970, G17003308

0.032%

G1700970, G17003309

0.041%

G1700970, G17003310

0.039%

G1700990, G17002400

0.037%

G1701010, G17000700

0.0048%

G1701030, G17000104

0.011%

G1701050, G17002200

0.012%

G1701070, G17001602

0.0089%

G1701090, G17000202

0.011%

G1701110, G17003601

0.037%

G1701110, G17003602

0.05%

G1701130, G17002000

0.053%

G1701150, G17001500

0.038%

G1701170, G17000401

0.016%

G1701190, G17001204

0.037%

G1701190, G17001205

0.051%

G1701210, G17001001

0.014%

G1701230, G17002501

0.0044%

G1701250, G17000300

0.0052%

G1701270, G17000800

0.0053%

G1701290, G17001602

0.0042%

G1701310, G17000202

0.0055%

G1701330, G17001001

0.01%

G1701350, G17000501

0.0097%

G1701370, G17000401

0.011%

G1701390, G17001602

0.0047%

G1701410, G17002700

0.017%

G1701430, G17001701

0.062%

G1701450, G17000900

0.0071%

G1701470, G17001602

0.0055%

G1701490, G17000300

0.0059%

G1701510, G17000800

0.002%

G1701530, G17000800

0.0023%

G1701550, G17002501

0.0023%

G1701570, G17001001

0.01%

G1701590, G17000700

0.0056%

G1701610, G17000105

0.049%

G1701630, G17001104

0.049%

G1701630, G17001105

0.04%

G1701650, G17000800

0.0087%

G1701670, G17001300

0.068%

G1701690, G17000300

0.0026%

G1701710, G17000401

0.0018%

G1701730, G17001602

0.0078%

G1701750, G17002501

0.002%

G1701770, G17002700

0.016%

G1701790, G17001900

0.043%

G1701810, G17000800

0.0059%

G1701830, G17002200

0.027%

G1701850, G17000800

0.0041%

G1701870, G17000202

0.0057%

G1701890, G17001001

0.0049%

G1701910, G17000700

0.0059%

G1701930, G17000800

0.0053%

G1701950, G17000104

0.019%

G1701970, G17003102

0.037%

G1701970, G17003105

0.035%

G1701970, G17003106

0.041%

G1701970, G17003107

0.032%

G1701970, G17003108

0.033%

G1701990, G17000900

0.023%

G1702010, G17002801

0.066%

G1702010, G17002901

0.027%

G1702030, G17002501

0.011%

G1800010, G18000900

0.0098%

G1800030, G18001001

0.045%

G1800030, G18001002

0.04%

G1800030, G18001003

0.03%

G1800050, G18002900

0.025%

G1800070, G18001100

0.0029%

G1800090, G18001500

0.0045%

G1800110, G18001801

0.019%

G1800130, G18002100

0.0063%

G1800150, G18001100

0.0071%

G1800170, G18001300

0.012%

G1800190, G18003600

0.037%

G1800210, G18001600

0.0087%

G1800230, G18001100

0.0099%

G1800250, G18003400

0.0041%

G1800270, G18002700

0.0093%

G1800290, G18003100

0.015%

G1800310, G18003000

0.0084%

G1800330, G18000600

0.013%

G1800350, G18002000

0.039%

G1800370, G18003400

0.013%

G1800390, G18000500

0.058%

G1800410, G18002600

0.0081%

G1800430, G18003500

0.024%

G1800450, G18001600

0.0058%

G1800470, G18003100

0.0071%

G1800490, G18000700

0.0072%

G1800510, G18003200

0.011%

G1800530, G18001400

0.023%

G1800550, G18002700

0.011%

G1800570, G18001801

0.017%

G1800570, G18001802

0.038%

G1800570, G18001803

0.032%

G1800590, G18002500

0.022%

G1800610, G18003500

0.012%

G1800630, G18002200

0.044%

G1800650, G18001500

0.016%

G1800670, G18001300

0.029%

G1800690, G18000900

0.012%

G1800710, G18002900

0.014%

G1800730, G18000700

0.01%

G1800750, G18001500

0.0069%

G1800770, G18003000

0.011%

G1800790, G18003000

0.009%

G1800810, G18002400

0.044%

G1800830, G18003400

0.013%

G1800850, G18000800

0.028%

G1800870, G18000600

0.011%

G1800890, G18000101

0.036%

G1800890, G18000102

0.047%

G1800890, G18000103

0.036%

G1800890, G18000104

0.038%

G1800910, G18000300

0.036%

G1800930, G18002700

0.016%

G1800950, G18001900

0.044%

G1800970, G18002301

0.034%

G1800970, G18002302

0.04%

G1800970, G18002303

0.041%

G1800970, G18002304

0.046%

G1800970, G18002305

0.059%

G1800970, G18002306

0.049%

G1800970, G18002307

0.044%

G1800990, G18000800

0.015%

G1801010, G18002700

0.0035%

G1801030, G18001400

0.011%

G1801050, G18002800

0.045%

G1801070, G18001100

0.012%

G1801090, G18002100

0.021%

G1801110, G18000700

0.0045%

G1801130, G18000600

0.015%

G1801150, G18003100

0.0021%

G1801170, G18002700

0.0068%

G1801190, G18002700

0.0075%

G1801210, G18001600

0.006%

G1801230, G18003400

0.0064%

G1801250, G18003400

0.0043%

G1801270, G18000200

0.05%

G1801290, G18003200

0.0085%

G1801310, G18000700

0.0045%

G1801330, G18002100

0.011%

G1801350, G18001500

0.0087%

G1801370, G18003100

0.009%

G1801390, G18002600

0.0056%

G1801410, G18000401

0.036%

G1801410, G18000402

0.05%

G1801430, G18003000

0.0078%

G1801450, G18002500

0.014%

G1801470, G18003400

0.0067%

G1801490, G18000700

0.0082%

G1801510, G18000600

0.015%

G1801530, G18001600

0.0066%

G1801550, G18003100

0.0038%

G1801570, G18001200

0.055%

G1801590, G18001300

0.0052%

G1801610, G18002600

0.0024%

G1801630, G18003300

0.062%

G1801650, G18001600

0.0056%

G1801670, G18001700

0.035%

G1801690, G18001400

0.011%

G1801710, G18001600

0.0027%

G1801730, G18003200

0.019%

G1801750, G18003500

0.0091%

G1801770, G18002600

0.023%

G1801790, G18000900

0.0087%

G1801810, G18001100

0.0097%

G1801830, G18000900

0.011%

G1900010, G19001800

0.0027%

G1900030, G19001800

0.0015%

G1900050, G19000400

0.0057%

G1900070, G19001800

0.0049%

G1900090, G19001800

0.0022%

G1900110, G19001200

0.0083%

G1900130, G19000500

0.042%

G1900150, G19001300

0.0088%

G1900170, G19000400

0.0076%

G1900190, G19000700

0.0067%

G1900210, G19001900

0.0062%

G1900230, G19000600

0.005%

G1900250, G19001900

0.0038%

G1900270, G19001900

0.007%

G1900290, G19002100

0.0049%

G1900310, G19000800

0.006%

G1900330, G19000200

0.017%

G1900350, G19001900

0.0043%

G1900370, G19000400

0.0042%

G1900390, G19001800

0.0031%

G1900410, G19000100

0.006%

G1900430, G19000400

0.0067%

G1900450, G19000800

0.016%

G1900470, G19001900

0.0052%

G1900490, G19001400

0.0066%

G1900490, G19001500

0.017%

G1900510, G19002200

0.0027%

G1900530, G19001800

0.0029%

G1900550, G19000700

0.006%

G1900570, G19002300

0.014%

G1900590, G19000100

0.0099%

G1900610, G19000700

0.03%

G1900630, G19000100

0.0036%

G1900650, G19000400

0.0071%

G1900670, G19000200

0.0056%

G1900690, G19000600

0.0036%

G1900710, G19002100

0.0026%

G1900730, G19001900

0.0034%

G1900750, G19000600

0.0041%

G1900770, G19001800

0.0043%

G1900790, G19000600

0.0053%

G1900810, G19000200

0.004%

G1900830, G19000600

0.0061%

G1900850, G19002100

0.005%

G1900870, G19002300

0.0062%

G1900890, G19000400

0.0032%

G1900910, G19000600

0.0035%

G1900930, G19001900

0.0026%

G1900950, G19001200

0.0054%

G1900970, G19000700

0.007%

G1900990, G19001400

0.012%

G1901010, G19002200

0.0056%

G1901030, G19001100

0.044%

G1901050, G19000800

0.0066%

G1901070, G19002200

0.0036%

G1901090, G19000200

0.0056%

G1901110, G19002300

0.012%

G1901130, G19001000

0.071%

G1901150, G19002300

0.0037%

G1901170, G19001800

0.0031%

G1901190, G19000100

0.0037%

G1901210, G19001400

0.005%

G1901230, G19002200

0.0073%

G1901250, G19001400

0.01%

G1901270, G19001200

0.012%

G1901290, G19002100

0.0045%

G1901310, G19000200

0.0037%

G1901330, G19001900

0.0035%

G1901350, G19001800

0.0029%

G1901370, G19002100

0.0039%

G1901390, G19000800

0.013%

G1901410, G19000100

0.005%

G1901430, G19000100

0.0022%

G1901450, G19002100

0.0054%

G1901470, G19000100

0.0034%

G1901490, G19002000

0.0079%

G1901510, G19001900

0.0028%

G1901530, G19001500

0.04%

G1901530, G19001600

0.038%

G1901530, G19001700

0.064%

G1901550, G19002100

0.029%

G1901570, G19001200

0.0067%

G1901590, G19001800

0.0019%

G1901610, G19001900

0.004%

G1901630, G19000900

0.055%

G1901650, G19002100

0.0041%

G1901670, G19000100

0.0094%

G1901690, G19001300

0.028%

G1901710, G19001200

0.0058%

G1901730, G19001800

0.0023%

G1901750, G19001800

0.0044%

G1901770, G19002200

0.0027%

G1901790, G19002200

0.012%

G1901810, G19001400

0.014%

G1901830, G19002200

0.0071%

G1901850, G19001800

0.0024%

G1901870, G19000600

0.013%

G1901890, G19000200

0.0039%

G1901910, G19000400

0.0066%

G1901930, G19002000

0.031%

G1901950, G19000200

0.0026%

G1901970, G19000600

0.0049%

G2000010, G20001400

0.0047%

G2000030, G20001400

0.0028%

G2000050, G20000400

0.0052%

G2000070, G20001100

0.0021%

G2000090, G20001100

0.0094%

G2000110, G20001400

0.0053%

G2000130, G20000802

0.0035%

G2000150, G20001302

0.016%

G2000150, G20001304

0.0035%

G2000170, G20000900

0.0011%

G2000190, G20000900

0.0016%

G2000210, G20001500

0.0073%

G2000230, G20000100

0.0011%

G2000250, G20001200

0.00086%

G2000270, G20000200

0.003%

G2000290, G20000200

0.0035%

G2000310, G20000900

0.003%

G2000330, G20001100

0.00075%

G2000350, G20000900

0.0068%

G2000350, G20001100

0.0051%

G2000370, G20001500

0.013%

G2000390, G20000100

0.0013%

G2000410, G20000200

0.0068%

G2000430, G20000400

0.0026%

G2000450, G20000700

0.036%

G2000470, G20001100

0.0012%

G2000490, G20000900

0.0013%

G2000510, G20000100

0.0097%

G2000530, G20000200

0.0024%

G2000550, G20001200

0.0099%

G2000570, G20001200

0.009%

G2000590, G20001400

0.0083%

G2000610, G20000300

0.011%

G2000630, G20000100

0.001%

G2000650, G20000100

0.0011%

G2000670, G20001200

0.0022%

G2000690, G20001200

0.0018%

G2000710, G20000100

0.00046%

G2000730, G20000900

0.003%

G2000750, G20001200

0.00082%

G2000770, G20001100

0.0024%

G2000790, G20001301

0.011%

G2000810, G20001200

0.0012%

G2000830, G20001200

0.00078%

G2000850, G20000802

0.0043%

G2000870, G20000400

0.0061%

G2000890, G20000200

0.0015%

G2000910, G20000601

0.035%

G2000910, G20000602

0.053%

G2000910, G20000603

0.043%

G2000910, G20000604

0.043%

G2000930, G20001200

0.0012%

G2000950, G20001100

0.0028%

G2000970, G20001100

0.00091%

G2000990, G20001500

0.0075%

G2001010, G20000100

0.00073%

G2001030, G20000400

0.022%

G2001050, G20000200

0.0014%

G2001070, G20001400

0.0041%

G2001090, G20000100

0.0011%

G2001110, G20000900

0.011%

G2001130, G20001000

0.0096%

G2001150, G20000900

0.0044%

G2001170, G20000200

0.0037%

G2001190, G20001200

0.0015%

G2001210, G20001400

0.0099%

G2001230, G20000200

0.0025%

G2001250, G20001500

0.012%

G2001270, G20000900

0.0024%

G2001290, G20001200

0.0011%

G2001310, G20000200

0.0034%

G2001330, G20001500

0.0057%

G2001350, G20000100

0.0013%

G2001370, G20000100

0.0019%

G2001390, G20000802

0.0056%

G2001410, G20000100

0.0016%

G2001430, G20000200

0.0021%

G2001450, G20001100

0.0023%

G2001470, G20000100

0.0023%

G2001490, G20000300

0.0068%

G2001510, G20001100

0.0033%

G2001530, G20000100

0.0011%

G2001550, G20001000

0.021%

G2001570, G20000200

0.0022%

G2001590, G20001000

0.0034%

G2001610, G20000300

0.022%

G2001630, G20000100

0.0021%

G2001650, G20001100

0.0013%

G2001670, G20000100

0.0029%

G2001690, G20000200

0.018%

G2001710, G20000100

0.0017%

G2001730, G20001301

0.036%

G2001730, G20001302

0.034%

G2001730, G20001303

0.043%

G2001730, G20001304

0.048%

G2001750, G20001200

0.0061%

G2001770, G20000801

0.037%

G2001770, G20000802

0.022%

G2001790, G20000100

0.00094%

G2001810, G20000100

0.0023%

G2001830, G20000100

0.0017%

G2001850, G20001100

0.0017%

G2001870, G20001200

0.00082%

G2001890, G20001200

0.0017%

G2001910, G20001100

0.0081%

G2001930, G20000100

0.0026%

G2001950, G20000100

0.0013%

G2001970, G20000802

0.0024%

G2001990, G20000100

0.00059%

G2002010, G20000200

0.0022%

G2002030, G20000100

0.00072%

G2002050, G20000900

0.0035%

G2002070, G20000900

0.0015%

G2002090, G20000500

0.05%

G2100010, G21000600

0.0063%

G2100030, G21000400

0.007%

G2100050, G21002000

0.0069%

G2100070, G21000100

0.0029%

G2100090, G21000400

0.014%

G2100110, G21002700

0.004%

G2100130, G21000900

0.0098%

G2100150, G21002500

0.036%

G2100170, G21002300

0.0067%

G2100190, G21002800

0.016%

G2100210, G21002100

0.0092%

G2100230, G21002700

0.0029%

G2100250, G21001000

0.0046%

G2100270, G21001300

0.0079%

G2100290, G21001600

0.023%

G2100310, G21000400

0.0044%

G2100330, G21000200

0.0047%

G2100350, G21000100

0.014%

G2100370, G21002600

0.03%

G2100390, G21000100

0.0018%

G2100410, G21002600

0.0035%

G2100430, G21002800

0.0092%

G2100450, G21000600

0.0055%

G2100470, G21000300

0.022%

G2100490, G21002300

0.012%

G2100510, G21000800

0.0066%

G2100530, G21000600

0.0039%

G2100550, G21000200

0.0034%

G2100570, G21000600

0.0027%

G2100590, G21001500

0.032%

G2100610, G21000400

0.0048%

G2100630, G21002800

0.0025%

G2100650, G21002200

0.0051%

G2100670, G21001901

0.04%

G2100670, G21001902

0.063%

G2100690, G21002700

0.0049%

G2100710, G21001100

0.014%

G2100730, G21002000

0.017%

G2100750, G21000100

0.0025%

G2100770, G21002600

0.0029%

G2100790, G21002100

0.0056%

G2100810, G21002600

0.0074%

G2100830, G21000100

0.012%

G2100850, G21001300

0.01%

G2100870, G21000600

0.0039%

G2100890, G21002800

0.012%

G2100910, G21001500

0.0028%

G2100930, G21001200

0.0053%

G2100930, G21001300

0.029%

G2100950, G21000900

0.01%

G2100970, G21002300

0.0061%

G2100990, G21000400

0.0065%

G2101010, G21001400

0.015%

G2101030, G21001800

0.005%

G2101050, G21000100

0.0017%

G2101070, G21000200

0.016%

G2101090, G21000800

0.0049%

G2101110, G21001701

0.046%

G2101110, G21001702

0.044%

G2101110, G21001703

0.036%

G2101110, G21001704

0.043%

G2101110, G21001705

0.04%

G2101110, G21001706

0.046%

G2101130, G21002100

0.015%

G2101150, G21001100

0.0079%

G2101170, G21002400

0.052%

G2101190, G21001000

0.0056%

G2101210, G21000900

0.011%

G2101230, G21001200

0.0047%

G2101250, G21000800

0.019%

G2101270, G21002800

0.0054%

G2101290, G21001000

0.0026%

G2101310, G21001000

0.0039%

G2101330, G21001000

0.0086%

G2101350, G21002700

0.0048%

G2101370, G21002100

0.0081%

G2101390, G21000200

0.0036%

G2101410, G21000400

0.0092%

G2101430, G21000300

0.0036%

G2101450, G21000100

0.024%

G2101470, G21000700

0.0055%

G2101490, G21001400

0.0032%

G2101510, G21002200

0.027%

G2101530, G21001100

0.0044%

G2101550, G21001200

0.0061%

G2101570, G21000100

0.012%

G2101590, G21001100

0.0038%

G2101610, G21002700

0.0061%

G2101630, G21001300

0.0091%

G2101650, G21002700

0.0029%

G2101670, G21002000

0.0075%

G2101690, G21000400

0.0035%

G2101710, G21000400

0.0039%

G2101730, G21002700

0.0088%

G2101750, G21002700

0.0044%

G2101770, G21000200

0.01%

G2101790, G21001200

0.014%

G2101810, G21002300

0.0024%

G2101830, G21001400

0.0076%

G2101850, G21001800

0.016%

G2101870, G21002600

0.0042%

G2101890, G21001000

0.0016%

G2101910, G21002600

0.0047%

G2101930, G21001000

0.0095%

G2101950, G21001100

0.023%

G2101970, G21002200

0.0042%

G2101990, G21000700

0.023%

G2102010, G21002700

0.00086%

G2102030, G21000800

0.0057%

G2102050, G21002700

0.0076%

G2102070, G21000600

0.0074%

G2102090, G21002300

0.015%

G2102110, G21001600

0.0045%

G2102110, G21001800

0.0082%

G2102130, G21000400

0.0056%

G2102150, G21001600

0.0052%

G2102170, G21000600

0.0082%

G2102190, G21000300

0.0039%

G2102210, G21000300

0.0058%

G2102230, G21001800

0.0029%

G2102250, G21001400

0.0046%

G2102270, G21000500

0.037%

G2102290, G21001200

0.0038%

G2102310, G21000700

0.0081%

G2102330, G21001400

0.0044%

G2102350, G21000900

0.011%

G2102370, G21001000

0.0027%

G2102390, G21002000

0.0082%

G2200010, G22001100

0.019%

G2200030, G22000800

0.0073%

G2200050, G22001600

0.033%

G2200070, G22002000

0.0078%

G2200090, G22000600

0.014%

G2200110, G22000800

0.011%

G2200130, G22000300

0.0058%

G2200150, G22000200

0.04%

G2200170, G22000100

0.043%

G2200170, G22000101

0.041%

G2200190, G22000800

0.027%

G2200190, G22000900

0.037%

G2200210, G22000500

0.0038%

G2200230, G22000900

0.0027%

G2200250, G22000600

0.0037%

G2200270, G22000300

0.0058%

G2200290, G22000600

0.007%

G2200310, G22000300

0.0093%

G2200330, G22001500

0.043%

G2200330, G22001501

0.062%

G2200330, G22001502

0.038%

G2200350, G22000500

0.0023%

G2200370, G22001400

0.0061%

G2200390, G22001000

0.011%

G2200410, G22000500

0.0068%

G2200430, G22000600

0.0067%

G2200450, G22001300

0.022%

G2200470, G22001400

0.0097%

G2200490, G22000500

0.0058%

G2200510, G22002300

0.037%

G2200510, G22002301

0.048%

G2200510, G22002302

0.041%

G2200510, G22002500

0.016%

G2200530, G22000900

0.01%

G2200550, G22001200

0.037%

G2200550, G22001201

0.036%

G2200570, G22002000

0.03%

G2200590, G22000600

0.0049%

G2200610, G22000300

0.015%

G2200630, G22001700

0.04%

G2200650, G22000500

0.0037%

G2200670, G22000500

0.0093%

G2200690, G22000300

0.014%

G2200710, G22002400

0.047%

G2200710, G22002401

0.048%

G2200710, G22002402

0.049%

G2200730, G22000400

0.049%

G2200750, G22002500

0.0074%

G2200770, G22001400

0.0084%

G2200790, G22000700

0.043%

G2200810, G22000300

0.0031%

G2200830, G22000500

0.0066%

G2200850, G22000300

0.011%

G2200870, G22002500

0.013%

G2200890, G22001900

0.015%

G2200910, G22001700

0.0038%

G2200930, G22001900

0.0065%

G2200950, G22001900

0.013%

G2200970, G22001000

0.027%

G2200990, G22001300

0.017%

G2201010, G22001300

0.017%

G2201030, G22002200

0.039%

G2201030, G22002201

0.035%

G2201050, G22001800

0.039%

G2201070, G22000500

0.0025%

G2201090, G22002100

0.033%

G2201110, G22000500

0.0085%

G2201130, G22001100

0.019%

G2201150, G22000700

0.016%

G2201170, G22001800

0.016%

G2201190, G22000200

0.014%

G2201210, G22001400

0.0075%

G2201230, G22000500

0.0038%

G2201250, G22001400

0.0039%

G2201270, G22000600

0.0054%

G2300010, G23000600

0.037%

G2300030, G23000100

0.029%

G2300050, G23000700

0.026%

G2300050, G23000800

0.013%

G2300050, G23000900

0.026%

G2300050, G23001000

0.04%

G2300070, G23000200

0.016%

G2300090, G23000500

0.03%

G2300110, G23000400

0.046%

G2300130, G23000500

0.018%

G2300150, G23000500

0.018%

G2300170, G23000200

0.027%

G2300190, G23000300

0.055%

G2300210, G23000200

0.011%

G2300230, G23000700

0.014%

G2300250, G23000200

0.023%

G2300270, G23000500

0.016%

G2300290, G23000100

0.017%

G2300310, G23000800

0.061%

G2300310, G23000900

0.019%

G2400010, G24000100

0.025%

G2400030, G24001201

0.047%

G2400030, G24001202

0.034%

G2400030, G24001203

0.039%

G2400030, G24001204

0.044%

G2400050, G24000501

0.036%

G2400050, G24000502

0.039%

G2400050, G24000503

0.037%

G2400050, G24000504

0.037%

G2400050, G24000505

0.034%

G2400050, G24000506

0.035%

G2400050, G24000507

0.033%

G2400090, G24001500

0.026%

G2400110, G24001300

0.01%

G2400130, G24000400

0.047%

G2400150, G24000700

0.032%

G2400170, G24001600

0.043%

G2400190, G24001300

0.012%

G2400210, G24000301

0.034%

G2400210, G24000302

0.036%

G2400230, G24000100

0.014%

G2400250, G24000601

0.038%

G2400250, G24000602

0.035%

G2400270, G24000901

0.037%

G2400270, G24000902

0.049%

G2400290, G24001300

0.008%

G2400310, G24001001

0.035%

G2400310, G24001002

0.036%

G2400310, G24001003

0.052%

G2400310, G24001004

0.059%

G2400310, G24001005

0.038%

G2400310, G24001006

0.033%

G2400310, G24001007

0.035%

G2400330, G24001101

0.027%

G2400330, G24001102

0.038%

G2400330, G24001103

0.029%

G2400330, G24001104

0.035%

G2400330, G24001105

0.048%

G2400330, G24001106

0.033%

G2400330, G24001107

0.037%

G2400350, G24001300

0.015%

G2400370, G24001500

0.032%

G2400390, G24001400

0.0084%

G2400410, G24001300

0.015%

G2400430, G24000200

0.046%

G2400450, G24001400

0.031%

G2400470, G24001400

0.042%

G2405100, G24000801

0.05%

G2405100, G24000802

0.041%

G2405100, G24000803

0.039%

G2405100, G24000804

0.049%

G2405100, G24000805

0.043%

G2500010, G25004700

0.059%

G2500010, G25004800

0.061%

G2500030, G25000100

0.051%

G2500050, G25004200

0.034%

G2500050, G25004301

0.02%

G2500050, G25004302

0.038%

G2500050, G25004303

0.037%

G2500050, G25004500

0.038%

G2500050, G25004901

0.006%

G2500070, G25004800

0.013%

G2500090, G25000701

0.053%

G2500090, G25000702

0.031%

G2500090, G25000703

0.069%

G2500090, G25000704

0.031%

G2500090, G25001000

0.029%

G2500090, G25001300

0.0095%

G2500090, G25002800

0.0079%

G2500110, G25000200

0.025%

G2500130, G25001600

0.012%

G2500130, G25001900

0.046%

G2500130, G25001901

0.045%

G2500130, G25001902

0.039%

G2500150, G25000200

0.012%

G2500150, G25001600

0.035%

G2500170, G25000400

0.011%

G2500170, G25000501

0.033%

G2500170, G25000502

0.031%

G2500170, G25000503

0.041%

G2500170, G25000504

0.045%

G2500170, G25000505

0.04%

G2500170, G25000506

0.036%

G2500170, G25000507

0.037%

G2500170, G25000508

0.036%

G2500170, G25001000

0.012%

G2500170, G25001300

0.026%

G2500170, G25001400

0.034%

G2500170, G25002400

0.013%

G2500170, G25002800

0.035%

G2500170, G25003400

0.024%

G2500170, G25003500

0.0081%

G2500190, G25004800

0.0088%

G2500210, G25002400

0.0092%

G2500210, G25003400

0.02%

G2500210, G25003500

0.021%

G2500210, G25003601

0.036%

G2500210, G25003602

0.036%

G2500210, G25003603

0.039%

G2500210, G25003900

0.031%

G2500210, G25004000

0.0098%

G2500210, G25004200

0.0028%

G2500230, G25003900

0.011%

G2500230, G25004000

0.026%

G2500230, G25004301

0.015%

G2500230, G25004901

0.026%

G2500230, G25004902

0.031%

G2500230, G25004903

0.041%

G2500250, G25003301

0.033%

G2500250, G25003302

0.059%

G2500250, G25003303

0.038%

G2500250, G25003304

0.039%

G2500250, G25003305

0.041%

G2500250, G25003306

0.032%

G2500270, G25000300

0.057%

G2500270, G25000301

0.038%

G2500270, G25000302

0.037%

G2500270, G25000303

0.034%

G2500270, G25000304

0.046%

G2500270, G25000400

0.021%

G2500270, G25001400

0.0013%

G2500270, G25002400

0.011%

G2600010, G26000300

0.0082%

G2600030, G26000200

0.0049%

G2600050, G26000900

0.037%

G2600070, G26000300

0.012%

G2600090, G26000400

0.013%

G2600110, G26001300

0.0073%

G2600130, G26000100

0.0039%

G2600150, G26002000

0.02%

G2600170, G26001400

0.036%

G2600190, G26000500

0.0092%

G2600210, G26002400

0.057%

G2600230, G26002200

0.015%

G2600250, G26002000

0.045%

G2600270, G26002300

0.019%

G2600290, G26000400

0.013%

G2600310, G26000300

0.014%

G2600330, G26000200

0.016%

G2600350, G26001200

0.017%

G2600370, G26001900

0.023%

G2600390, G26000300

0.0083%

G2600410, G26000200

0.015%

G2600430, G26000100

0.01%

G2600450, G26001900

0.035%

G2600470, G26000400

0.016%

G2600490, G26001701

0.031%

G2600490, G26001702

0.036%

G2600490, G26001703

0.04%

G2600490, G26001704

0.036%

G2600510, G26001300

0.013%

G2600530, G26000100

0.008%

G2600550, G26000500

0.032%

G2600570, G26001200

0.012%

G2600590, G26002500

0.016%

G2600610, G26000100

0.014%

G2600630, G26001600

0.016%

G2600650, G26001801

0.05%

G2600650, G26001802

0.041%

G2600670, G26001100

0.018%

G2600690, G26001300

0.015%

G2600710, G26000100

0.0069%

G2600730, G26001200

0.021%

G2600750, G26002600

0.052%

G2600770, G26002101

0.043%

G2600770, G26002102

0.04%

G2600790, G26000400

0.009%

G2600810, G26001001

0.043%

G2600810, G26001002

0.06%

G2600810, G26001003

0.048%

G2600810, G26001004

0.035%

G2600830, G26000100

0.0018%

G2600850, G26000600

0.011%

G2600870, G26001701

0.027%

G2600890, G26000500

0.011%

G2600910, G26002500

0.032%

G2600930, G26002800

0.056%

G2600950, G26000200

0.0032%

G2600970, G26000200

0.0082%

G2600990, G26003001

0.036%

G2600990, G26003002

0.047%

G2600990, G26003003

0.039%

G2600990, G26003004

0.054%

G2600990, G26003005

0.047%

G2600990, G26003006

0.047%

G2601010, G26000500

0.012%

G2601030, G26000100

0.026%

G2601050, G26000600

0.013%

G2601070, G26001100

0.016%

G2601090, G26000200

0.011%

G2601110, G26001400

0.027%

G2601130, G26000400

0.0068%

G2601150, G26003300

0.047%

G2601170, G26001100

0.021%

G2601190, G26000300

0.0071%

G2601210, G26000700

0.055%

G2601230, G26000600

0.019%

G2601250, G26002901

0.04%

G2601250, G26002902

0.039%

G2601250, G26002903

0.051%

G2601250, G26002904

0.052%

G2601250, G26002905

0.039%

G2601250, G26002906

0.048%

G2601250, G26002907

0.059%

G2601250, G26002908

0.07%

G2601270, G26000600

0.012%

G2601290, G26001300

0.012%

G2601310, G26000100

0.0042%

G2601330, G26001100

0.01%

G2601350, G26000300

0.0068%

G2601370, G26000300

0.011%

G2601390, G26000801

0.044%

G2601390, G26000802

0.034%

G2601410, G26000300

0.0078%

G2601430, G26001300

0.018%

G2601450, G26001500

0.065%

G2601470, G26003100

0.054%

G2601490, G26002200

0.021%

G2601510, G26001600

0.017%

G2601530, G26000200

0.0047%

G2601550, G26001704

0.022%

G2601570, G26001600

0.018%

G2601590, G26002300

0.027%

G2601610, G26002701

0.032%

G2601610, G26002702

0.038%

G2601610, G26002703

0.041%

G2601630, G26003201

0.057%

G2601630, G26003202

0.044%

G2601630, G26003203

0.042%

G2601630, G26003204

0.05%

G2601630, G26003205

0.034%

G2601630, G26003206

0.042%

G2601630, G26003207

0.039%

G2601630, G26003208

0.059%

G2601630, G26003209

0.048%

G2601630, G26003210

0.047%

G2601630, G26003211

0.059%

G2601630, G26003212

0.051%

G2601630, G26003213

0.038%

G2601650, G26000400

0.012%

G2700010, G27000300

0.012%

G2700030, G27001101

0.029%

G2700030, G27001102

0.035%

G2700030, G27001103

0.032%

G2700050, G27000200

0.014%

G2700070, G27000200

0.016%

G2700090, G27001000

0.012%

G2700110, G27000800

0.0023%

G2700130, G27002200

0.02%

G2700150, G27002000

0.0086%

G2700170, G27000300

0.011%

G2700170, G27000400

0.001%

G2700190, G27001700

0.027%

G2700210, G27000300

0.019%

G2700230, G27002000

0.0043%

G2700250, G27000600

0.016%

G2700270, G27000100

0.019%

G2700290, G27000200

0.0036%

G2700310, G27000400

0.0043%

G2700330, G27002100

0.004%

G2700350, G27000700

0.031%

G2700370, G27001501

0.047%

G2700370, G27001502

0.04%

G2700370, G27001503

0.034%

G2700390, G27002400

0.006%

G2700410, G27000800

0.015%

G2700430, G27002100

0.0052%

G2700450, G27002600

0.0073%

G2700470, G27002400

0.011%

G2700490, G27002300

0.015%

G2700510, G27000800

0.0025%

G2700530, G27001401

0.034%

G2700530, G27001402

0.034%

G2700530, G27001403

0.032%

G2700530, G27001404

0.034%

G2700530, G27001405

0.042%

G2700530, G27001406

0.04%

G2700530, G27001407

0.054%

G2700530, G27001408

0.041%

G2700530, G27001409

0.037%

G2700530, G27001410

0.04%

G2700550, G27002600

0.0064%

G2700570, G27000200

0.011%

G2700590, G27000600

0.012%

G2700610, G27000300

0.02%

G2700630, G27002100

0.0037%

G2700650, G27000600

0.0058%

G2700670, G27001900

0.015%

G2700690, G27000100

0.0019%

G2700710, G27000400

0.0059%

G2700730, G27002000

0.0027%

G2700750, G27000400

0.0058%

G2700770, G27000200

0.0027%

G2700790, G27002300

0.0093%

G2700810, G27002000

0.0023%

G2700830, G27002000

0.0083%

G2700850, G27001900

0.012%

G2700870, G27000200

0.0021%

G2700890, G27000100

0.0036%

G2700910, G27002100

0.0074%

G2700930, G27001900

0.008%

G2700950, G27000600

0.0095%

G2700970, G27000700

0.012%

G2700990, G27002400

0.013%

G2701010, G27002100

0.0034%

G2701030, G27002200

0.0098%

G2701050, G27002100

0.0064%

G2701070, G27000100

0.0025%

G2701090, G27002500

0.046%

G2701110, G27000800

0.027%

G2701130, G27000100

0.0047%

G2701150, G27000600

0.013%

G2701170, G27002100

0.0033%

G2701190, G27000100

0.011%

G2701210, G27000800

0.0049%

G2701230, G27001301

0.04%

G2701230, G27001302

0.033%

G2701230, G27001303

0.039%

G2701230, G27001304

0.05%

G2701250, G27000100

0.0014%

G2701270, G27002000

0.0054%

G2701290, G27001900

0.0054%

G2701310, G27002300

0.018%

G2701330, G27002100

0.0032%

G2701350, G27000100

0.0056%

G2701370, G27000400

0.044%

G2701370, G27000500

0.033%

G2701390, G27001600

0.033%

G2701390, G27001700

0.0042%

G2701410, G27001000

0.025%

G2701430, G27001900

0.0049%

G2701450, G27000900

0.047%

G2701470, G27002400

0.011%

G2701490, G27000800

0.0031%

G2701510, G27000800

0.0036%

G2701530, G27000700

0.0097%

G2701550, G27000800

0.0015%

G2701570, G27002600

0.0075%

G2701590, G27000700

0.0052%

G2701610, G27002200

0.0059%

G2701630, G27001201

0.038%

G2701630, G27001202

0.033%

G2701650, G27002100

0.0038%

G2701670, G27000800

0.0023%

G2701690, G27002600

0.016%

G2701710, G27001800

0.037%

G2701730, G27002000

0.0035%

G2800010, G28001600

0.011%

G2800030, G28000200

0.013%

G2800050, G28001600

0.0049%

G2800070, G28000700

0.0068%

G2800090, G28000200

0.0031%

G2800110, G28000800

0.011%

G2800130, G28000400

0.0052%

G2800150, G28000700

0.0038%

G2800170, G28000400

0.0056%

G2800190, G28000600

0.0031%

G2800210, G28001600

0.0031%

G2800230, G28001500

0.0059%

G2800250, G28000600

0.0069%

G2800270, G28000300

0.008%

G2800290, G28001200

0.0091%

G2800310, G28001700

0.0063%

G2800330, G28000100

0.048%

G2800350, G28001800

0.024%

G2800370, G28001600

0.0031%

G2800390, G28001900

0.007%

G2800410, G28001700

0.0038%

G2800430, G28000700

0.0076%

G2800450, G28001900

0.018%

G2800470, G28002000

0.067%

G2800490, G28001000

0.027%

G2800490, G28001100

0.044%

G2800490, G28001200

0.0077%

G2800510, G28000700

0.0063%

G2800530, G28000800

0.0029%

G2800550, G28000800

0.00041%

G2800570, G28000400

0.0076%

G2800590, G28002100

0.046%

G2800610, G28001400

0.0061%

G2800630, G28001600

0.0027%

G2800650, G28001700

0.0044%

G2800670, G28001700

0.021%

G2800690, G28001400

0.0035%

G2800710, G28000400

0.018%

G2800730, G28001800

0.018%

G2800750, G28001500

0.026%

G2800770, G28001600

0.0045%

G2800790, G28001400

0.007%

G2800810, G28000500

0.027%

G2800830, G28000700

0.0098%

G2800850, G28001600

0.011%

G2800870, G28000600

0.02%

G2800890, G28000900

0.023%

G2800890, G28001000

0.0073%

G2800910, G28001800

0.0088%

G2800930, G28000200

0.011%

G2800950, G28000400

0.012%

G2800970, G28000700

0.004%

G2800990, G28001400

0.0092%

G2801010, G28001500

0.007%

G2801030, G28000600

0.0039%

G2801050, G28000600

0.016%

G2801070, G28000300

0.011%

G2801090, G28001900

0.018%

G2801110, G28001800

0.0041%

G2801130, G28001600

0.013%

G2801150, G28000500

0.0094%

G2801170, G28000200

0.0083%

G2801190, G28000300

0.0027%

G2801210, G28001300

0.043%

G2801230, G28001400

0.0086%

G2801250, G28000800

0.0016%

G2801270, G28001300

0.0089%

G2801290, G28001400

0.0054%

G2801310, G28001900

0.0054%

G2801330, G28000800

0.0072%

G2801350, G28000300

0.0041%

G2801370, G28000300

0.0083%

G2801390, G28000200

0.0073%

G2801410, G28000200

0.0077%

G2801430, G28000300

0.0036%

G2801450, G28000500

0.0088%

G2801470, G28001600

0.0053%

G2801490, G28001200

0.016%

G2801510, G28000800

0.016%

G2801530, G28001700

0.0069%

G2801550, G28000600

0.0036%

G2801570, G28001600

0.0038%

G2801590, G28000600

0.0065%

G2801610, G28000700

0.0048%

G2801630, G28000900

0.0075%

G2900010, G29000300

0.0085%

G2900030, G29000200

0.0054%

G2900050, G29000100

0.0022%

G2900070, G29000400

0.0081%

G2900090, G29002700

0.013%

G2900110, G29001200

0.0042%

G2900130, G29001100

0.0058%

G2900150, G29001300

0.01%

G2900170, G29002200

0.0044%

G2900190, G29000600

0.055%

G2900210, G29000200

0.029%

G2900230, G29002400

0.015%

G2900250, G29000800

0.0034%

G2900270, G29000500

0.014%

G2900290, G29001400

0.031%

G2900310, G29002200

0.025%

G2900330, G29000700

0.0034%

G2900350, G29002400

0.0024%

G2900370, G29001100

0.03%

G2900390, G29001200

0.0054%

G2900410, G29000700

0.0031%

G2900430, G29002601

0.024%

G2900450, G29000300

0.0026%

G2900470, G29000901

0.031%

G2900470, G29000902

0.036%

G2900470, G29000903

0.0037%

G2900490, G29000800

0.0066%

G2900510, G29000500

0.024%

G2900530, G29000700

0.0056%

G2900550, G29001500

0.0089%

G2900570, G29001200

0.0029%

G2900590, G29001300

0.0057%

G2900610, G29000100

0.0031%

G2900630, G29000200

0.0032%

G2900650, G29001500

0.0054%

G2900670, G29002500

0.0048%

G2900690, G29002300

0.011%

G2900710, G29001600

0.033%

G2900730, G29001500

0.0061%

G2900750, G29000100

0.0024%

G2900770, G29002601

0.012%

G2900770, G29002602

0.042%

G2900770, G29002603

0.042%

G2900790, G29000100

0.0037%

G2900810, G29000100

0.0033%

G2900830, G29001200

0.0081%

G2900850, G29001300

0.005%

G2900870, G29000100

0.0021%

G2900890, G29000700

0.0034%

G2900910, G29002500

0.013%

G2900930, G29002400

0.0039%

G2900950, G29001001

0.07%

G2900950, G29001002

0.044%

G2900950, G29001003

0.038%

G2900950, G29001004

0.03%

G2900950, G29001005

0.052%

G2900970, G29002800

0.038%

G2900990, G29002001

0.033%

G2900990, G29002002

0.033%

G2901010, G29000800

0.016%

G2901030, G29000300

0.0017%

G2901050, G29001300

0.012%

G2901070, G29000800

0.011%

G2901090, G29001200

0.012%

G2901110, G29000300

0.0034%

G2901130, G29000400

0.016%

G2901150, G29000100

0.0048%

G2901170, G29000100

0.005%

G2901190, G29002700

0.0073%

G2901210, G29000300

0.0057%

G2901230, G29002400

0.0044%

G2901250, G29001500

0.0034%

G2901270, G29000300

0.0096%

G2901290, G29000100

0.0016%

G2901310, G29001400

0.0095%

G2901330, G29002300

0.0043%

G2901350, G29000500

0.0046%

G2901370, G29000300

0.0036%

G2901390, G29000400

0.0046%

G2901410, G29001400

0.011%

G2901430, G29002300

0.0064%

G2901450, G29002800

0.018%

G2901470, G29000100

0.0072%

G2901490, G29002500

0.0041%

G2901510, G29000500

0.0049%

G2901530, G29002500

0.0042%

G2901550, G29002300

0.0061%

G2901570, G29002100

0.0064%

G2901590, G29000700

0.014%

G2901610, G29001500

0.015%

G2901630, G29000400

0.0058%

G2901650, G29000903

0.03%

G2901670, G29001300

0.01%

G2901690, G29001400

0.014%

G2901710, G29000100

0.0022%

G2901730, G29000300

0.0038%

G2901750, G29000700

0.008%

G2901770, G29000800

0.0074%

G2901790, G29002400

0.003%

G2901810, G29002400

0.0049%

G2901830, G29001701

0.032%

G2901830, G29001702

0.038%

G2901830, G29001703

0.041%

G2901850, G29001200

0.0042%

G2901860, G29002100

0.0064%

G2901870, G29002100

0.022%

G2901890, G29001801

0.04%

G2901890, G29001802

0.041%

G2901890, G29001803

0.04%

G2901890, G29001804

0.037%

G2901890, G29001805

0.04%

G2901890, G29001806

0.035%

G2901890, G29001807

0.054%

G2901890, G29001808

0.041%

G2901950, G29000700

0.0075%

G2901970, G29000300

0.0016%

G2901990, G29000300

0.0018%

G2902010, G29002200

0.013%

G2902030, G29002500

0.0031%

G2902050, G29000300

0.0024%

G2902070, G29002300

0.01%

G2902090, G29002700

0.015%

G2902110, G29000100

0.0025%

G2902130, G29002700

0.022%

G2902150, G29002500

0.0087%

G2902170, G29001200

0.0071%

G2902190, G29000400

0.011%

G2902210, G29002100

0.0081%

G2902230, G29002400

0.006%

G2902250, G29002601

0.011%

G2902270, G29000100

0.00095%

G2902290, G29002500

0.0065%

G2905100, G29001901

0.057%

G2905100, G29001902

0.074%

G3000010, G30000300

0.0039%

G3000030, G30000600

0.0035%

G3000050, G30000400

0.0021%

G3000070, G30000300

0.002%

G3000090, G30000500

0.0048%

G3000110, G30000600

0.00059%

G3000130, G30000400

0.028%

G3000150, G30000400

0.0021%

G3000170, G30000600

0.0042%

G3000190, G30000600

0.00085%

G3000210, G30000600

0.0032%

G3000230, G30000300

0.0038%

G3000250, G30000600

0.0011%

G3000270, G30000400

0.0043%

G3000290, G30000100

0.035%

G3000310, G30000500

0.034%

G3000330, G30000600

0.00063%

G3000350, G30000100

0.004%

G3000370, G30000600

0.00034%

G3000390, G30000300

0.0021%

G3000410, G30000400

0.0054%

G3000430, G30000300

0.0038%

G3000450, G30000400

0.001%

G3000470, G30000200

0.012%

G3000490, G30000300

0.023%

G3000510, G30000400

0.00081%

G3000530, G30000100

0.0086%

G3000550, G30000600

0.00076%

G3000570, G30000300

0.0052%

G3000590, G30000400

0.001%

G3000610, G30000200

0.0018%

G3000630, G30000200

0.038%

G3000650, G30000600

0.002%

G3000670, G30000500

0.007%

G3000690, G30000400

0.00024%

G3000710, G30000600

0.0017%

G3000730, G30000400

0.002%

G3000750, G30000600

0.00077%

G3000770, G30000300

0.0023%

G3000790, G30000600

0.0005%

G3000810, G30000200

0.015%

G3000830, G30000600

0.0038%

G3000850, G30000600

0.003%

G3000870, G30000600

0.0031%

G3000890, G30000200

0.005%

G3000910, G30000600

0.0016%

G3000930, G30000300

0.013%

G3000950, G30000500

0.0036%

G3000970, G30000500

0.0015%

G3000990, G30000400

0.0021%

G3001010, G30000400

0.0018%

G3001030, G30000600

0.00034%

G3001050, G30000600

0.0036%

G3001070, G30000400

0.00097%

G3001090, G30000600

0.00042%

G3001110, G30000600

0.015%

G3001110, G30000700

0.035%

G3100010, G31000500

0.01%

G3100030, G31000200

0.0024%

G3100050, G31000400

0.00019%

G3100070, G31000100

0.00029%

G3100090, G31000300

0.00026%

G3100110, G31000200

0.002%

G3100130, G31000100

0.0041%

G3100150, G31000100

0.001%

G3100170, G31000100

0.0014%

G3100190, G31000500

0.015%

G3100210, G31000200

0.0026%

G3100230, G31000600

0.003%

G3100250, G31000701

0.0084%

G3100270, G31000200

0.0031%

G3100290, G31000400

0.0014%

G3100310, G31000100

0.0023%

G3100330, G31000100

0.0037%

G3100350, G31000500

0.0022%

G3100370, G31000200

0.0031%

G3100390, G31000200

0.0031%

G3100410, G31000300

0.0042%

G3100430, G31000200

0.0058%

G3100450, G31000100

0.0032%

G3100470, G31000400

0.0076%

G3100490, G31000100

0.00074%

G3100510, G31000200

0.002%

G3100530, G31000701

0.012%

G3100550, G31000901

0.054%

G3100550, G31000902

0.046%

G3100550, G31000903

0.034%

G3100550, G31000904

0.035%

G3100570, G31000400

0.00082%

G3100590, G31000600

0.0022%

G3100610, G31000500

0.0013%

G3100630, G31000400

0.0011%

G3100650, G31000400

0.002%

G3100670, G31000600

0.0078%

G3100690, G31000100

0.001%

G3100710, G31000300

0.0009%

G3100730, G31000400

0.00093%

G3100750, G31000400

0.00029%

G3100770, G31000300

0.00097%

G3100790, G31000300

0.018%

G3100810, G31000300

0.003%

G3100830, G31000500

0.0018%

G3100850, G31000400

0.00039%

G3100870, G31000400

0.0013%

G3100890, G31000100

0.0039%

G3100910, G31000400

0.00032%

G3100930, G31000300

0.0022%

G3100950, G31000600

0.0029%

G3100970, G31000600

0.0016%

G3100990, G31000500

0.0022%

G3101010, G31000400

0.004%

G3101030, G31000100

0.00038%

G3101050, G31000100

0.0015%

G3101070, G31000200

0.0036%

G3101090, G31000801

0.051%

G3101090, G31000802

0.042%

G3101110, G31000400

0.012%

G3101130, G31000400

0.00031%

G3101150, G31000300

0.00031%

G3101170, G31000400

0.00018%

G3101190, G31000200

0.011%

G3101210, G31000300

0.0028%

G3101230, G31000100

0.0018%

G3101250, G31000200

0.0014%

G3101270, G31000600

0.0026%

G3101290, G31000500

0.0018%

G3101310, G31000600

0.0053%

G3101330, G31000600

0.0012%

G3101350, G31000400

0.0011%

G3101370, G31000500

0.0031%

G3101390, G31000200

0.0024%

G3101410, G31000200

0.01%

G3101430, G31000600

0.002%

G3101450, G31000400

0.0039%

G3101470, G31000600

0.0033%

G3101490, G31000100

0.00065%

G3101510, G31000600

0.0043%

G3101530, G31000702

0.049%

G3101550, G31000701

0.007%

G3101570, G31000100

0.012%

G3101590, G31000600

0.0052%

G3101610, G31000100

0.0022%

G3101630, G31000300

0.0014%

G3101650, G31000100

0.00058%

G3101670, G31000200

0.002%

G3101690, G31000600

0.002%

G3101710, G31000400

0.00029%

G3101730, G31000200

0.0018%

G3101750, G31000300

0.0017%

G3101770, G31000701

0.0063%

G3101790, G31000200

0.0029%

G3101810, G31000500

0.0014%

G3101830, G31000300

0.00041%

G3101850, G31000600

0.0047%

G3200010, G32000300

0.008%

G3200030, G32000401

0.042%

G3200030, G32000402

0.037%

G3200030, G32000403

0.047%

G3200030, G32000404

0.042%

G3200030, G32000405

0.038%

G3200030, G32000406

0.042%

G3200030, G32000407

0.052%

G3200030, G32000408

0.068%

G3200030, G32000409

0.066%

G3200030, G32000410

0.044%

G3200030, G32000411

0.07%

G3200030, G32000412

0.05%

G3200030, G32000413

0.049%

G3200050, G32000200

0.018%

G3200070, G32000300

0.015%

G3200090, G32000300

0.00072%

G3200110, G32000300

0.00085%

G3200130, G32000300

0.0054%

G3200150, G32000300

0.0019%

G3200170, G32000300

0.0019%

G3200190, G32000200

0.017%

G3200210, G32000300

0.0021%

G3200230, G32000300

0.016%

G3200270, G32000300

0.0018%

G3200290, G32000200

0.0015%

G3200310, G32000101

0.062%

G3200310, G32000102

0.037%

G3200310, G32000103

0.042%

G3200330, G32000300

0.0033%

G3205100, G32000200

0.017%

G3300010, G33000200

0.028%

G3300030, G33000200

0.027%

G3300030, G33000300

0.0031%

G3300050, G33000500

0.026%

G3300070, G33000100

0.016%

G3300090, G33000100

0.039%

G3300110, G33000600

0.034%

G3300110, G33000700

0.015%

G3300110, G33000800

0.037%

G3300110, G33000900

0.04%

G3300130, G33000200

0.0073%

G3300130, G33000400

0.036%

G3300130, G33000700

0.0039%

G3300150, G33000300

0.0066%

G3300150, G33000700

0.025%

G3300150, G33001000

0.064%

G3300170, G33000300

0.039%

G3300190, G33000500

0.017%

G3400010, G34000101

0.046%

G3400010, G34000102

0.045%

G3400010, G34002600

0.004%

G3400030, G34000301

0.034%

G3400030, G34000302

0.036%

G3400030, G34000303

0.046%

G3400030, G34000304

0.035%

G3400030, G34000305

0.028%

G3400030, G34000306

0.029%

G3400030, G34000307

0.03%

G3400030, G34000308

0.027%

G3400050, G34002001

0.039%

G3400050, G34002002

0.048%

G3400050, G34002003

0.046%

G3400070, G34002101

0.037%

G3400070, G34002102

0.04%

G3400070, G34002103

0.042%

G3400070, G34002104

0.035%

G3400090, G34002600

0.074%

G3400110, G34002400

0.032%

G3400110, G34002500

0.01%

G3400130, G34001301

0.044%

G3400130, G34001302

0.039%

G3400130, G34001401

0.033%

G3400130, G34001402

0.061%

G3400130, G34001403

0.031%

G3400130, G34001404

0.028%

G3400150, G34002201

0.038%

G3400150, G34002202

0.045%

G3400170, G34000601

0.048%

G3400170, G34000602

0.034%

G3400170, G34000701

0.042%

G3400170, G34000702

0.045%

G3400170, G34000703

0.038%

G3400190, G34000800

0.037%

G3400210, G34002301

0.036%

G3400210, G34002302

0.041%

G3400210, G34002303

0.03%

G3400230, G34000901

0.036%

G3400230, G34000902

0.033%

G3400230, G34000903

0.029%

G3400230, G34000904

0.03%

G3400230, G34000905

0.029%

G3400230, G34000906

0.036%

G3400230, G34000907

0.03%

G3400250, G34001101

0.039%

G3400250, G34001102

0.03%

G3400250, G34001103

0.037%

G3400250, G34001104

0.031%

G3400250, G34001105

0.031%

G3400250, G34001106

0.027%

G3400270, G34001501

0.038%

G3400270, G34001502

0.037%

G3400270, G34001503

0.032%

G3400270, G34001504

0.035%

G3400290, G34001201

0.054%

G3400290, G34001202

0.042%

G3400290, G34001203

0.035%

G3400290, G34001204

0.038%

G3400290, G34001205

0.041%

G3400310, G34000400

0.037%

G3400310, G34000501

0.035%

G3400310, G34000502

0.03%

G3400310, G34000503

0.03%

G3400330, G34002500

0.021%

G3400350, G34001001

0.03%

G3400350, G34001002

0.03%

G3400350, G34001003

0.033%

G3400370, G34001600

0.046%

G3400390, G34001800

0.033%

G3400390, G34001901

0.03%

G3400390, G34001902

0.029%

G3400390, G34001903

0.027%

G3400390, G34001904

0.031%

G3400410, G34001700

0.034%

G3500010, G35000700

0.0087%

G3500010, G35000801

0.035%

G3500010, G35000802

0.036%

G3500010, G35000803

0.035%

G3500010, G35000804

0.036%

G3500010, G35000805

0.036%

G3500010, G35000806

0.029%

G3500030, G35000900

0.0029%

G3500050, G35001100

0.02%

G3500060, G35000100

0.0083%

G3500070, G35000400

0.0075%

G3500090, G35000400

0.015%

G3500110, G35000400

0.00076%

G3500130, G35001001

0.028%

G3500130, G35001002

0.035%

G3500150, G35001200

0.017%

G3500170, G35000900

0.011%

G3500190, G35000400

0.0017%

G3500210, G35000400

0.00038%

G3500230, G35000900

0.0018%

G3500250, G35001200

0.019%

G3500270, G35001100

0.013%

G3500280, G35000300

0.0062%

G3500290, G35000900

0.0082%

G3500310, G35000100

0.019%

G3500330, G35000300

0.0022%

G3500350, G35001100

0.023%

G3500370, G35000400

0.0041%

G3500390, G35000300

0.015%

G3500410, G35000400

0.0062%

G3500430, G35000600

0.04%

G3500450, G35000100

0.0081%

G3500450, G35000200

0.029%

G3500470, G35000300

0.012%

G3500490, G35000500

0.054%

G3500510, G35000900

0.0062%

G3500530, G35000900

0.006%

G3500550, G35000300

0.015%

G3500570, G35000900

0.0058%

G3500590, G35000400

0.0017%

G3500610, G35000700

0.023%

G3600010, G36002001

0.039%

G3600010, G36002002

0.065%

G3600030, G36002500

0.019%

G3600050, G36003701

0.034%

G3600050, G36003702

0.038%

G3600050, G36003703

0.037%

G3600050, G36003704

0.035%

G3600050, G36003705

0.045%

G3600050, G36003706

0.035%

G3600050, G36003707

0.036%

G3600050, G36003708

0.038%

G3600050, G36003709

0.051%

G3600050, G36003710

0.04%

G3600070, G36002201

0.043%

G3600070, G36002202

0.018%

G3600070, G36002203

0.0055%

G3600090, G36002500

0.031%

G3600110, G36000704

0.027%

G3600130, G36002600

0.05%

G3600150, G36002401

0.026%

G3600150, G36002402

0.003%

G3600170, G36002203

0.019%

G3600190, G36000200

0.027%

G3600210, G36002100

0.025%

G3600230, G36001500

0.015%

G3600250, G36002203

0.023%

G3600270, G36002801

0.039%

G3600270, G36002802

0.05%

G3600290, G36001201

0.038%

G3600290, G36001202

0.039%

G3600290, G36001203

0.033%

G3600290, G36001204

0.053%

G3600290, G36001205

0.054%

G3600290, G36001206

0.043%

G3600290, G36001207

0.054%

G3600310, G36000200

0.019%

G3600330, G36000200

0.019%

G3600350, G36001600

0.021%

G3600370, G36001000

0.019%

G3600390, G36002100

0.022%

G3600410, G36000200

0.0065%

G3600430, G36000401

0.023%

G3600430, G36000403

0.0021%

G3600450, G36000500

0.044%

G3600470, G36004001

0.05%

G3600470, G36004002

0.037%

G3600470, G36004003

0.043%

G3600470, G36004004

0.047%

G3600470, G36004005

0.04%

G3600470, G36004006

0.043%

G3600470, G36004007

0.036%

G3600470, G36004008

0.045%

G3600470, G36004009

0.055%

G3600470, G36004010

0.041%

G3600470, G36004011

0.034%

G3600470, G36004012

0.037%

G3600470, G36004013

0.04%

G3600470, G36004014

0.037%

G3600470, G36004015

0.045%

G3600470, G36004016

0.046%

G3600470, G36004017

0.05%

G3600470, G36004018

0.036%

G3600490, G36000500

0.011%

G3600510, G36001300

0.02%

G3600530, G36001500

0.024%

G3600550, G36000901

0.043%

G3600550, G36000902

0.039%

G3600550, G36000903

0.034%

G3600550, G36000904

0.041%

G3600550, G36000905

0.031%

G3600550, G36000906

0.054%

G3600570, G36001600

0.017%

G3600590, G36003201

0.032%

G3600590, G36003202

0.03%

G3600590, G36003203

0.026%

G3600590, G36003204

0.029%

G3600590, G36003205

0.028%

G3600590, G36003206

0.033%

G3600590, G36003207

0.028%

G3600590, G36003208

0.029%

G3600590, G36003209

0.026%

G3600590, G36003210

0.028%

G3600590, G36003211

0.027%

G3600590, G36003212

0.031%

G3600610, G36003801

0.059%

G3600610, G36003802

0.038%

G3600610, G36003803

0.045%

G3600610, G36003804

0.038%

G3600610, G36003805

0.1%

G3600610, G36003806

0.088%

G3600610, G36003807

0.078%

G3600610, G36003808

0.072%

G3600610, G36003809

0.058%

G3600610, G36003810

0.069%

G3600630, G36001101

0.039%

G3600630, G36001102

0.035%

G3600650, G36000401

0.02%

G3600650, G36000402

0.053%

G3600650, G36000403

0.004%

G3600670, G36000701

0.049%

G3600670, G36000702

0.04%

G3600670, G36000703

0.052%

G3600670, G36000704

0.012%

G3600690, G36001400

0.037%

G3600710, G36002901

0.035%

G3600710, G36002902

0.036%

G3600710, G36002903

0.033%

G3600730, G36001000

0.014%

G3600750, G36000600

0.04%

G3600770, G36000403

0.023%

G3600790, G36003101

0.029%

G3600810, G36004101

0.06%

G3600810, G36004102

0.045%

G3600810, G36004103

0.071%

G3600810, G36004104

0.034%

G3600810, G36004105

0.048%

G3600810, G36004106

0.044%

G3600810, G36004107

0.035%

G3600810, G36004108

0.041%

G3600810, G36004109

0.043%

G3600810, G36004110

0.05%

G3600810, G36004111

0.036%

G3600810, G36004112

0.057%

G3600810, G36004113

0.032%

G3600810, G36004114

0.034%

G3600830, G36001900

0.054%

G3600850, G36003901

0.045%

G3600850, G36003902

0.038%

G3600850, G36003903

0.05%

G3600870, G36003001

0.027%

G3600870, G36003002

0.029%

G3600870, G36003003

0.022%

G3600890, G36000100

0.039%

G3600910, G36001801

0.037%

G3600910, G36001802

0.039%

G3600930, G36001700

0.051%

G3600950, G36000403

0.013%

G3600970, G36002402

0.0071%

G3600990, G36000800

0.012%

G3601010, G36002401

0.0089%

G3601010, G36002402

0.027%

G3601030, G36003301

0.029%

G3601030, G36003302

0.027%

G3601030, G36003303

0.031%

G3601030, G36003304

0.031%

G3601030, G36003305

0.074%

G3601030, G36003306

0.037%

G3601030, G36003307

0.035%

G3601030, G36003308

0.027%

G3601030, G36003309

0.027%

G3601030, G36003310

0.026%

G3601030, G36003311

0.028%

G3601030, G36003312

0.026%

G3601030, G36003313

0.028%

G3601050, G36002701

0.037%

G3601070, G36002202

0.017%

G3601090, G36002300

0.031%

G3601110, G36002701

0.016%

G3601110, G36002702

0.047%

G3601130, G36000300

0.029%

G3601150, G36000300

0.022%

G3601170, G36000800

0.031%

G3601190, G36003101

0.001%

G3601190, G36003102

0.041%

G3601190, G36003103

0.038%

G3601190, G36003104

0.032%

G3601190, G36003105

0.048%

G3601190, G36003106

0.061%

G3601190, G36003107

0.056%

G3601210, G36001300

0.013%

G3601230, G36001400

0.01%

G3700010, G37001600

0.051%

G3700030, G37002000

0.012%

G3700050, G37000200

0.006%

G3700070, G37005300

0.0086%

G3700090, G37000100

0.013%

G3700110, G37000100

0.01%

G3700130, G37004400

0.019%

G3700150, G37000800

0.0073%

G3700170, G37004900

0.013%

G3700190, G37004800

0.061%

G3700210, G37002201

0.044%

G3700210, G37002202

0.042%

G3700230, G37002100

0.03%

G3700250, G37003200

0.042%

G3700250, G37003300

0.014%

G3700270, G37002000

0.028%

G3700290, G37000700

0.0031%

G3700310, G37004400

0.037%

G3700330, G37000400

0.0079%

G3700350, G37002800

0.051%

G3700370, G37001500

0.022%

G3700390, G37002400

0.013%

G3700410, G37000700

0.0054%

G3700430, G37002400

0.0054%

G3700450, G37002600

0.017%

G3700450, G37002700

0.016%

G3700470, G37004900

0.019%

G3700490, G37004300

0.034%

G3700510, G37005001

0.041%

G3700510, G37005002

0.032%

G3700510, G37005003

0.034%

G3700530, G37000700

0.011%

G3700550, G37000800

0.025%

G3700570, G37003500

0.054%

G3700590, G37001900

0.014%

G3700610, G37003900

0.019%

G3700630, G37001301

0.054%

G3700630, G37001302

0.042%

G3700650, G37000900

0.018%

G3700670, G37001801

0.036%

G3700670, G37001802

0.042%

G3700670, G37001803

0.043%

G3700690, G37000500

0.02%

G3700710, G37003001

0.033%

G3700710, G37003002

0.034%

G3700730, G37000700

0.0039%

G3700750, G37002300

0.0044%

G3700770, G37000400

0.017%

G3700790, G37001000

0.0061%

G3700810, G37001701

0.047%

G3700810, G37001702

0.039%

G3700810, G37001703

0.036%

G3700810, G37001704

0.044%

G3700830, G37000600

0.019%

G3700850, G37003800

0.037%

G3700870, G37002300

0.026%

G3700890, G37002500

0.041%

G3700910, G37000600

0.0079%

G3700930, G37005200

0.015%

G3700950, G37000800

0.0025%

G3700970, G37001900

0.0083%

G3700970, G37002900

0.044%

G3700990, G37002300

0.0025%

G3700990, G37002400

0.017%

G3701010, G37001100

0.052%

G3701030, G37004100

0.0036%

G3701050, G37001500

0.018%

G3701070, G37004100

0.02%

G3701090, G37002700

0.025%

G3701110, G37002100

0.016%

G3701130, G37002400

0.019%

G3701150, G37002300

0.008%

G3701170, G37000800

0.0086%

G3701190, G37003101

0.04%

G3701190, G37003102

0.037%

G3701190, G37003103

0.035%

G3701190, G37003104

0.049%

G3701190, G37003105

0.037%

G3701190, G37003106

0.045%

G3701190, G37003107

0.036%

G3701190, G37003108

0.035%

G3701210, G37000100

0.0065%

G3701230, G37003700

0.012%

G3701250, G37003700

0.034%

G3701270, G37000900

0.032%

G3701290, G37004600

0.017%

G3701290, G37004700

0.062%

G3701310, G37000600

0.0086%

G3701330, G37004100

0.013%

G3701330, G37004500

0.044%

G3701350, G37001400

0.042%

G3701370, G37004400

0.0057%

G3701390, G37000700

0.013%

G3701410, G37004600

0.02%

G3701430, G37000700

0.0052%

G3701450, G37000400

0.014%

G3701470, G37004200

0.057%

G3701490, G37002600

0.0086%

G3701510, G37003600

0.046%

G3701530, G37005200

0.016%

G3701550, G37004900

0.0041%

G3701550, G37005100

0.035%

G3701570, G37000300

0.033%

G3701590, G37003400

0.045%

G3701610, G37002600

0.025%

G3701630, G37003900

0.02%

G3701650, G37005200

0.011%

G3701670, G37003300

0.02%

G3701690, G37000300

0.016%

G3701710, G37000200

0.025%

G3701730, G37002300

0.0066%

G3701750, G37002500

0.014%

G3701770, G37000800

0.0015%

G3701790, G37005300

0.026%

G3701790, G37005400

0.031%

G3701810, G37000500

0.015%

G3701830, G37001201

0.043%

G3701830, G37001202

0.048%

G3701830, G37001203

0.033%

G3701830, G37001204

0.034%

G3701830, G37001205

0.033%

G3701830, G37001206

0.037%

G3701830, G37001207

0.041%

G3701830, G37001208

0.031%

G3701850, G37000500

0.005%

G3701850, G37000600

0.0038%

G3701870, G37000800

0.0048%

G3701890, G37000100

0.025%

G3701910, G37004000

0.04%

G3701930, G37000200

0.025%

G3701950, G37001000

0.027%

G3701970, G37001900

0.013%

G3701990, G37000100

0.0083%

G3800010, G38000100

0.001%

G3800030, G38000200

0.0043%

G3800050, G38000200

0.0022%

G3800070, G38000100

0.00039%

G3800090, G38000200

0.0033%

G3800110, G38000100

0.0013%

G3800130, G38000100

0.001%

G3800150, G38000300

0.03%

G3800170, G38000500

0.056%

G3800190, G38000400

0.0017%

G3800210, G38000200

0.002%

G3800230, G38000100

0.0011%

G3800250, G38000100

0.0018%

G3800270, G38000200

0.00098%

G3800290, G38000300

0.0016%

G3800310, G38000200

0.0013%

G3800330, G38000100

0.00075%

G3800350, G38000400

0.023%

G3800370, G38000100

0.0013%

G3800390, G38000400

0.0011%

G3800410, G38000100

0.0011%

G3800430, G38000300

0.0013%

G3800450, G38000200

0.0017%

G3800470, G38000300

0.00088%

G3800490, G38000100

0.0023%

G3800510, G38000300

0.0014%

G3800530, G38000100

0.0034%

G3800550, G38000100

0.0044%

G3800570, G38000100

0.0035%

G3800590, G38000300

0.01%

G3800610, G38000100

0.0035%

G3800630, G38000200

0.0014%

G3800650, G38000100

0.00071%

G3800670, G38000400

0.0029%

G3800690, G38000200

0.0017%

G3800710, G38000200

0.0043%

G3800730, G38000200

0.002%

G3800750, G38000100

0.00095%

G3800770, G38000200

0.0057%

G3800790, G38000200

0.0041%

G3800810, G38000200

0.0015%

G3800830, G38000200

0.00065%

G3800850, G38000100

0.00099%

G3800870, G38000100

0.00033%

G3800890, G38000100

0.01%

G3800910, G38000400

0.00093%

G3800930, G38000200

0.0075%

G3800950, G38000400

0.00099%

G3800970, G38000400

0.0028%

G3800990, G38000400

0.0042%

G3801010, G38000100

0.023%

G3801030, G38000200

0.0019%

G3801050, G38000100

0.012%

G3900010, G39005200

0.0095%

G3900030, G39002500

0.033%

G3900050, G39002100

0.016%

G3900070, G39001300

0.034%

G3900090, G39005000

0.02%

G3900110, G39002600

0.015%

G3900130, G39003500

0.024%

G3900150, G39005700

0.015%

G3900170, G39005401

0.031%

G3900170, G39005402

0.043%

G3900170, G39005403

0.038%

G3900190, G39003300

0.01%

G3900210, G39002700

0.012%

G3900230, G39004300

0.046%

G3900250, G39005600

0.04%

G3900250, G39005700

0.021%

G3900270, G39005200

0.013%

G3900290, G39003400

0.035%

G3900310, G39002900

0.012%

G3900330, G39002300

0.015%

G3900350, G39000901

0.033%

G3900350, G39000902

0.05%

G3900350, G39000903

0.036%

G3900350, G39000904

0.042%

G3900350, G39000905

0.039%

G3900350, G39000906

0.048%

G3900350, G39000907

0.038%

G3900350, G39000908

0.072%

G3900350, G39000909

0.057%

G3900350, G39000910

0.047%

G3900370, G39004500

0.017%

G3900390, G39000100

0.012%

G3900410, G39004000

0.052%

G3900430, G39000700

0.028%

G3900450, G39003900

0.044%

G3900470, G39004800

0.0095%

G3900490, G39004101

0.035%

G3900490, G39004102

0.034%

G3900490, G39004103

0.035%

G3900490, G39004104

0.037%

G3900490, G39004105

0.04%

G3900490, G39004106

0.044%

G3900490, G39004107

0.039%

G3900490, G39004108

0.04%

G3900490, G39004109

0.032%

G3900490, G39004110

0.035%

G3900490, G39004111

0.032%

G3900510, G39000200

0.013%

G3900530, G39005000

0.01%

G3900550, G39001200

0.027%

G3900570, G39004700

0.052%

G3900590, G39002900

0.014%

G3900610, G39005501

0.033%

G3900610, G39005502

0.048%

G3900610, G39005503

0.042%

G3900610, G39005504

0.049%

G3900610, G39005505

0.042%

G3900610, G39005506

0.035%

G3900610, G39005507

0.032%

G3900630, G39002400

0.025%

G3900650, G39002700

0.0098%

G3900670, G39003000

0.006%

G3900690, G39000100

0.0089%

G3900710, G39005200

0.014%

G3900730, G39004900

0.0099%

G3900750, G39002900

0.01%

G3900770, G39002100

0.019%

G3900790, G39004900

0.011%

G3900810, G39003500

0.024%

G3900830, G39002800

0.019%

G3900850, G39001000

0.035%

G3900850, G39001100

0.034%

G3900850, G39001200

0.0065%

G3900870, G39005100

0.02%

G3900890, G39003800

0.052%

G3900910, G39002700

0.017%

G3900930, G39000801

0.046%

G3900930, G39000802

0.05%

G3900950, G39000200

0.001%

G3900950, G39000300

0.04%

G3900950, G39000400

0.049%

G3900950, G39000500

0.051%

G3900950, G39000600

0.0098%

G3900970, G39004200

0.012%

G3900990, G39001400

0.013%

G3900990, G39001500

0.07%

G3901010, G39002800

0.021%

G3901030, G39001900

0.053%

G3901050, G39005000

0.0082%

G3901070, G39002600

0.013%

G3901090, G39004400

0.033%

G3901110, G39003600

0.0056%

G3901130, G39004601

0.037%

G3901130, G39004602

0.044%

G3901130, G39004603

0.066%

G3901130, G39004604

0.043%

G3901150, G39003600

0.0058%

G3901170, G39002800

0.011%

G3901190, G39003700

0.028%

G3901210, G39003600

0.0045%

G3901230, G39000600

0.021%

G3901250, G39000100

0.0065%

G3901270, G39003700

0.011%

G3901290, G39004200

0.016%

G3901310, G39004900

0.0093%

G3901330, G39001700

0.051%

G3901350, G39004500

0.013%

G3901370, G39002400

0.01%

G3901390, G39002200

0.04%

G3901410, G39004800

0.024%

G3901430, G39000700

0.02%

G3901450, G39005100

0.025%

G3901470, G39002300

0.018%

G3901490, G39004500

0.015%

G3901510, G39003100

0.045%

G3901510, G39003200

0.049%

G3901510, G39003300

0.03%

G3901530, G39001801

0.035%

G3901530, G39001802

0.036%

G3901530, G39001803

0.037%

G3901530, G39001804

0.041%

G3901530, G39001805

0.034%

G3901550, G39001400

0.03%

G3901550, G39001600

0.041%

G3901570, G39003000

0.03%

G3901590, G39004200

0.015%

G3901610, G39002600

0.0094%

G3901630, G39004900

0.0046%

G3901650, G39005301

0.03%

G3901650, G39005302

0.032%

G3901670, G39003600

0.021%

G3901690, G39002000

0.034%

G3901710, G39000100

0.012%

G3901730, G39000200

0.021%

G3901730, G39000300

0.0077%

G3901730, G39000600

0.012%

G3901750, G39002300

0.0074%

G4000010, G40000200

0.0069%

G4000030, G40000500

0.002%

G4000050, G40000702

0.0047%

G4000070, G40000500

0.002%

G4000090, G40000400

0.0074%

G4000110, G40000500

0.0036%

G4000130, G40000702

0.015%

G4000150, G40000602

0.0099%

G4000170, G40000800

0.035%

G4000190, G40000701

0.016%

G4000210, G40000200

0.016%

G4000230, G40000300

0.0056%

G4000250, G40000500

0.0012%

G4000270, G40000900

0.082%

G4000290, G40000702

0.0021%

G4000310, G40000601

0.033%

G4000310, G40000602

0.0057%

G4000330, G40000602

0.0022%

G4000350, G40000100

0.005%

G4000370, G40001204

0.013%

G4000370, G40001501

0.0067%

G4000370, G40001601

0.0032%

G4000390, G40000400

0.0093%

G4000410, G40000100

0.019%

G4000430, G40000500

0.0018%

G4000450, G40000500

0.0017%

G4000470, G40001400

0.02%

G4000490, G40000701

0.0096%

G4000510, G40001101

0.017%

G4000530, G40000500

0.0018%

G4000550, G40000400

0.002%

G4000570, G40000400

0.0011%

G4000590, G40000500

0.0014%

G4000610, G40000300

0.0045%

G4000630, G40001501

0.0047%

G4000650, G40000400

0.0091%

G4000670, G40000602

0.0025%

G4000690, G40000702

0.0038%

G4000710, G40001400

0.016%

G4000730, G40000500

0.0048%

G4000750, G40000400

0.0039%

G4000770, G40000300

0.0037%

G4000790, G40000300

0.016%

G4000810, G40001102

0.011%

G4000830, G40001102

0.013%

G4000850, G40000701

0.0034%

G4000870, G40001101

0.011%

G4000890, G40000300

0.012%

G4000910, G40001302

0.01%

G4000930, G40000500

0.0027%

G4000950, G40000702

0.0075%

G4000970, G40000100

0.014%

G4000990, G40000701

0.0051%

G4001010, G40001302

0.023%

G4001030, G40001400

0.004%

G4001050, G40000100

0.0036%

G4001070, G40001501

0.004%

G4001090, G40001001

0.034%

G4001090, G40001002

0.053%

G4001090, G40001003

0.044%

G4001090, G40001004

0.038%

G4001090, G40001005

0.035%

G4001090, G40001006

0.042%

G4001110, G40001302

0.013%

G4001130, G40001204

0.0079%

G4001130, G40001601

0.0081%

G4001150, G40000100

0.01%

G4001170, G40001601

0.0058%

G4001190, G40001501

0.026%

G4001210, G40000300

0.017%

G4001230, G40000701

0.0021%

G4001230, G40000702

0.01%

G4001250, G40001101

0.006%

G4001250, G40001102

0.016%

G4001270, G40000300

0.0046%

G4001290, G40000400

0.0014%

G4001310, G40000100

0.0084%

G4001310, G40001301

0.019%

G4001330, G40001501

0.0087%

G4001350, G40000200

0.014%

G4001370, G40000602

0.015%

G4001390, G40000500

0.0061%

G4001410, G40000602

0.003%

G4001430, G40001201

0.076%

G4001430, G40001202

0.06%

G4001430, G40001203

0.038%

G4001430, G40001204

0.033%

G4001450, G40001301

0.016%

G4001450, G40001302

0.0073%

G4001470, G40001601

0.018%

G4001490, G40000400

0.0041%

G4001510, G40000500

0.0033%

G4001530, G40000500

0.0067%

G4100010, G41000100

0.0066%

G4100030, G41000600

0.028%

G4100050, G41001317

0.032%

G4100050, G41001318

0.052%

G4100050, G41001319

0.036%

G4100070, G41000500

0.016%

G4100090, G41000500

0.015%

G4100110, G41000800

0.023%

G4100130, G41000200

0.0077%

G4100150, G41000800

0.0094%

G4100170, G41000400

0.062%

G4100190, G41001000

0.037%

G4100210, G41000200

0.00078%

G4100230, G41000200

0.0032%

G4100250, G41000300

0.0028%

G4100270, G41000200

0.0071%

G4100290, G41000901

0.034%

G4100290, G41000902

0.035%

G4100310, G41000200

0.0073%

G4100330, G41000800

0.028%

G4100350, G41000300

0.024%

G4100370, G41000300

0.0033%

G4100390, G41000703

0.047%

G4100390, G41000704

0.035%

G4100390, G41000705

0.037%

G4100410, G41000500

0.023%

G4100430, G41000600

0.037%

G4100450, G41000300

0.0087%

G4100470, G41001103

0.029%

G4100470, G41001104

0.031%

G4100470, G41001105

0.032%

G4100490, G41000200

0.0033%

G4100510, G41001301

0.036%

G4100510, G41001302

0.036%

G4100510, G41001303

0.036%

G4100510, G41001305

0.041%

G4100510, G41001314

0.054%

G4100510, G41001316

0.045%

G4100530, G41001200

0.023%

G4100550, G41000200

0.0007%

G4100570, G41000500

0.014%

G4100590, G41000100

0.022%

G4100610, G41000100

0.0086%

G4100630, G41000100

0.0031%

G4100650, G41000200

0.0085%

G4100670, G41001320

0.035%

G4100670, G41001321

0.029%

G4100670, G41001322

0.033%

G4100670, G41001323

0.032%

G4100670, G41001324

0.036%

G4100690, G41000200

0.00073%

G4100710, G41001200

0.028%

G4200010, G42003701

0.031%

G4200030, G42001701

0.072%

G4200030, G42001702

0.044%

G4200030, G42001801

0.037%

G4200030, G42001802

0.05%

G4200030, G42001803

0.045%

G4200030, G42001804

0.067%

G4200030, G42001805

0.044%

G4200030, G42001806

0.044%

G4200030, G42001807

0.037%

G4200050, G42001900

0.024%

G4200070, G42001501

0.0053%

G4200070, G42001502

0.053%

G4200090, G42003800

0.018%

G4200110, G42002701

0.037%

G4200110, G42002702

0.042%

G4200110, G42002703

0.044%

G4200130, G42002200

0.042%

G4200150, G42000400

0.022%

G4200170, G42003001

0.04%

G4200170, G42003002

0.041%

G4200170, G42003003

0.05%

G4200170, G42003004

0.052%

G4200190, G42001600

0.06%

G4200210, G42002100

0.049%

G4200230, G42000300

0.0033%

G4200250, G42002801

0.026%

G4200270, G42001200

0.048%

G4200290, G42003401

0.034%

G4200290, G42003402

0.039%

G4200290, G42003403

0.042%

G4200290, G42003404

0.031%

G4200310, G42001300

0.015%

G4200330, G42000300

0.029%

G4200350, G42000900

0.014%

G4200370, G42000803

0.022%

G4200390, G42000200

0.033%

G4200410, G42002301

0.029%

G4200410, G42002302

0.048%

G4200430, G42002401

0.055%

G4200430, G42002402

0.036%

G4200450, G42003301

0.037%

G4200450, G42003302

0.049%

G4200450, G42003303

0.045%

G4200450, G42003304

0.035%

G4200470, G42000300

0.013%

G4200490, G42000101

0.036%

G4200490, G42000102

0.053%

G4200510, G42003900

0.047%

G4200530, G42001300

0.0063%

G4200550, G42003701

0.0084%

G4200550, G42003702

0.039%

G4200570, G42003800

0.0053%

G4200590, G42004002

0.012%

G4200610, G42002200

0.017%

G4200630, G42001900

0.029%

G4200650, G42001300

0.017%

G4200670, G42001100

0.0082%

G4200690, G42000701

0.037%

G4200690, G42000702

0.036%

G4200710, G42003501

0.036%

G4200710, G42003502

0.033%

G4200710, G42003503

0.046%

G4200710, G42003504

0.04%

G4200730, G42001501

0.03%

G4200750, G42002500

0.042%

G4200770, G42002801

0.019%

G4200770, G42002802

0.047%

G4200770, G42002803

0.034%

G4200770, G42002901

0.0068%

G4200790, G42000801

0.045%

G4200790, G42000802

0.043%

G4200790, G42000803

0.022%

G4200810, G42000900

0.039%

G4200830, G42000300

0.016%

G4200850, G42001400

0.038%

G4200870, G42001100

0.016%

G4200890, G42000600

0.06%

G4200910, G42003101

0.041%

G4200910, G42003102

0.036%

G4200910, G42003103

0.041%

G4200910, G42003104

0.038%

G4200910, G42003105

0.038%

G4200910, G42003106

0.051%

G4200930, G42001000

0.006%

G4200950, G42002901

0.046%

G4200950, G42002902

0.045%

G4200970, G42001000

0.034%

G4200990, G42002301

0.015%

G4201010, G42003201

0.047%

G4201010, G42003202

0.039%

G4201010, G42003203

0.039%

G4201010, G42003204

0.049%

G4201010, G42003205

0.048%

G4201010, G42003206

0.049%

G4201010, G42003207

0.039%

G4201010, G42003208

0.043%

G4201010, G42003209

0.058%

G4201010, G42003210

0.047%

G4201010, G42003211

0.042%

G4201030, G42000500

0.029%

G4201050, G42000300

0.0096%

G4201070, G42002600

0.051%

G4201090, G42001100

0.012%

G4201110, G42003800

0.028%

G4201130, G42000400

0.0047%

G4201150, G42000500

0.017%

G4201170, G42000400

0.016%

G4201190, G42001100

0.013%

G4201210, G42001300

0.02%

G4201230, G42000200

0.017%

G4201250, G42004001

0.047%

G4201250, G42004002

0.023%

G4201270, G42000500

0.024%

G4201290, G42002001

0.035%

G4201290, G42002002

0.053%

G4201290, G42002003

0.038%

G4201310, G42000702

0.0099%

G4201330, G42003601

0.051%

G4201330, G42003602

0.039%

G4201330, G42003603

0.045%

G4400010, G44000300

0.016%

G4400030, G44000201

0.055%

G4400050, G44000300

0.031%

G4400070, G44000101

0.046%

G4400070, G44000102

0.057%

G4400070, G44000103

0.053%

G4400070, G44000104

0.04%

G4400090, G44000400

0.047%

G4500010, G45001600

0.009%

G4500030, G45001500

0.055%

G4500050, G45001300

0.0033%

G4500070, G45000200

0.064%

G4500090, G45001300

0.0057%

G4500110, G45001300

0.0077%

G4500130, G45001400

0.071%

G4500150, G45001201

0.012%

G4500150, G45001202

0.0048%

G4500150, G45001203

0.019%

G4500150, G45001204

0.023%

G4500170, G45000605

0.0054%

G4500190, G45001201

0.0021%

G4500190, G45001202

0.071%

G4500190, G45001203

0.032%

G4500190, G45001204

0.028%

G4500210, G45000400

0.018%

G4500230, G45000400

0.011%

G4500250, G45000700

0.016%

G4500270, G45000800

0.013%

G4500290, G45001300

0.015%

G4500310, G45000900

0.023%

G4500330, G45001000

0.01%

G4500350, G45001201

0.031%

G4500350, G45001204

0.012%

G4500370, G45001500

0.0079%

G4500390, G45000603

0.0087%

G4500410, G45000900

0.044%

G4500430, G45001000

0.025%

G4500450, G45000102

0.033%

G4500450, G45000103

0.051%

G4500450, G45000104

0.039%

G4500450, G45000105

0.027%

G4500470, G45001600

0.023%

G4500490, G45001300

0.0067%

G4500510, G45001101

0.047%

G4500510, G45001102

0.097%

G4500530, G45001400

0.0081%

G4500550, G45000605

0.021%

G4500570, G45000700

0.025%

G4500590, G45000105

0.023%

G4500610, G45000800

0.0057%

G4500630, G45000601

0.047%

G4500630, G45000602

0.042%

G4500650, G45001600

0.0041%

G4500670, G45001000

0.011%

G4500690, G45000700

0.0089%

G4500710, G45000400

0.013%

G4500730, G45000101

0.029%

G4500750, G45001300

0.031%

G4500770, G45000101

0.039%

G4500790, G45000603

0.05%

G4500790, G45000604

0.066%

G4500790, G45000605

0.0095%

G4500810, G45000601

0.0069%

G4500830, G45000301

0.039%

G4500830, G45000302

0.054%

G4500850, G45000800

0.035%

G4500870, G45000400

0.01%

G4500890, G45000800

0.011%

G4500910, G45000501

0.035%

G4500910, G45000502

0.039%

G4600030, G46000400

0.00099%

G4600050, G46000400

0.0062%

G4600070, G46000200

0.00086%

G4600090, G46000400

0.0022%

G4600110, G46000400

0.01%

G4600130, G46000300

0.013%

G4600150, G46000400

0.0018%

G4600170, G46000200

0.00043%

G4600190, G46000100

0.0035%

G4600210, G46000300

0.00074%

G4600230, G46000200

0.0029%

G4600250, G46000300

0.0013%

G4600270, G46000500

0.0043%

G4600290, G46000300

0.0095%

G4600310, G46000200

0.0011%

G4600330, G46000100

0.0036%

G4600350, G46000400

0.0068%

G4600370, G46000300

0.0027%

G4600390, G46000300

0.0016%

G4600410, G46000200

0.0015%

G4600430, G46000400

0.0011%

G4600450, G46000300

0.0015%

G4600470, G46000200

0.0031%

G4600490, G46000300

0.00089%

G4600510, G46000300

0.0026%

G4600530, G46000200

0.0019%

G4600550, G46000200

0.00078%

G4600570, G46000300

0.0021%

G4600590, G46000400

0.0014%

G4600610, G46000400

0.00088%

G4600630, G46000100

0.0005%

G4600650, G46000200

0.0058%

G4600670, G46000400

0.0025%

G4600690, G46000200

0.00052%

G4600710, G46000200

0.00096%

G4600730, G46000400

0.00079%

G4600750, G46000200

0.00039%

G4600770, G46000400

0.002%

G4600790, G46000400

0.0042%

G4600810, G46000100

0.01%

G4600830, G46000500

0.0069%

G4600830, G46000600

0.0073%

G4600850, G46000200

0.0013%

G4600870, G46000500

0.0019%

G4600890, G46000300

0.001%

G4600910, G46000300

0.0019%

G4600930, G46000100

0.0086%

G4600950, G46000200

0.00064%

G4600970, G46000400

0.00094%

G4600990, G46000500

0.011%

G4600990, G46000600

0.046%

G4601010, G46000400

0.0021%

G4601020, G46000200

0.0027%

G4601030, G46000100

0.035%

G4601050, G46000100

0.0013%

G4601070, G46000300

0.0012%

G4601090, G46000300

0.0037%

G4601110, G46000400

0.00093%

G4601150, G46000300

0.0024%

G4601170, G46000200

0.0011%

G4601190, G46000200

0.0006%

G4601210, G46000200

0.0023%

G4601230, G46000200

0.0023%

G4601250, G46000500

0.003%

G4601270, G46000500

0.005%

G4601290, G46000300

0.0022%

G4601350, G46000500

0.0073%

G4601370, G46000200

0.00074%

G4700010, G47001601

0.026%

G4700030, G47002700

0.014%

G4700050, G47000200

0.0067%

G4700070, G47002100

0.0042%

G4700090, G47001700

0.042%

G4700110, G47001900

0.032%

G4700130, G47000900

0.015%

G4700150, G47000600

0.0045%

G4700170, G47000200

0.0098%

G4700190, G47001200

0.021%

G4700210, G47000400

0.012%

G4700230, G47003000

0.0052%

G4700250, G47000900

0.011%

G4700270, G47000700

0.0032%

G4700290, G47001400

0.013%

G4700310, G47002200

0.018%

G4700330, G47000100

0.0048%

G4700350, G47000800

0.021%

G4700370, G47002501

0.051%

G4700370, G47002502

0.036%

G4700370, G47002503

0.041%

G4700370, G47002504

0.041%

G4700370, G47002505

0.051%

G4700390, G47002900

0.0051%

G4700410, G47000600

0.007%

G4700430, G47000400

0.016%

G4700450, G47000100

0.013%

G4700470, G47003100

0.012%

G4700490, G47000800

0.0067%

G4700510, G47002200

0.014%

G4700530, G47000100

0.017%

G4700550, G47002800

0.01%

G4700570, G47001400

0.0081%

G4700590, G47001200

0.024%

G4700610, G47002100

0.0048%

G4700630, G47001400

0.02%

G4700650, G47002001

0.041%

G4700650, G47002002

0.038%

G4700650, G47002003

0.037%

G4700670, G47000900

0.0027%

G4700690, G47002900

0.0081%

G4700710, G47002900

0.01%

G4700730, G47001000

0.02%

G4700750, G47002900

0.0063%

G4700770, G47002900

0.0096%

G4700790, G47000200

0.013%

G4700810, G47000400

0.0077%

G4700830, G47000200

0.0031%

G4700850, G47000200

0.0066%

G4700870, G47000700

0.0043%

G4700890, G47001500

0.018%

G4700910, G47001200

0.0067%

G4700930, G47001601

0.0035%

G4700930, G47001602

0.034%

G4700930, G47001603

0.064%

G4700930, G47001604

0.046%

G4700950, G47000100

0.0019%

G4700970, G47003100

0.0084%

G4700990, G47002800

0.014%

G4701010, G47002800

0.0041%

G4701030, G47002200

0.011%

G4701050, G47001800

0.017%

G4701070, G47001900

0.017%

G4701090, G47002900

0.0089%

G4701110, G47000600

0.0074%

G4701130, G47003000

0.032%

G4701150, G47002100

0.0097%

G4701170, G47002700

0.0099%

G4701190, G47002700

0.027%

G4701210, G47002100

0.0042%

G4701230, G47001800

0.016%

G4701250, G47000300

0.057%

G4701270, G47002200

0.0022%

G4701290, G47000900

0.0066%

G4701310, G47000100

0.011%

G4701330, G47000700

0.0077%

G4701350, G47002800

0.0034%

G4701370, G47000700

0.0026%

G4701390, G47001900

0.0062%

G4701410, G47000700

0.025%

G4701430, G47002100

0.011%

G4701450, G47001800

0.019%

G4701470, G47000400

0.02%

G4701490, G47002401

0.036%

G4701490, G47002402

0.046%

G4701510, G47000900

0.0074%

G4701530, G47002100

0.0048%

G4701550, G47001500

0.042%

G4701570, G47003201

0.055%

G4701570, G47003202

0.044%

G4701570, G47003203

0.036%

G4701570, G47003204

0.028%

G4701570, G47003205

0.033%

G4701570, G47003206

0.036%

G4701570, G47003207

0.035%

G4701570, G47003208

0.034%

G4701590, G47000600

0.0064%

G4701610, G47000300

0.005%

G4701630, G47001000

0.019%

G4701630, G47001100

0.037%

G4701650, G47000500

0.051%

G4701670, G47003100

0.017%

G4701690, G47000600

0.0026%

G4701710, G47001200

0.0066%

G4701730, G47001601

0.0068%

G4701750, G47000800

0.002%

G4701770, G47000600

0.013%

G4701790, G47001300

0.044%

G4701810, G47002800

0.0054%

G4701830, G47000200

0.012%

G4701850, G47000800

0.0087%

G4701870, G47002600

0.055%

G4701890, G47002300

0.037%

G4800010, G48001800

0.015%

G4800030, G48003200

0.0045%

G4800050, G48004000

0.027%

G4800070, G48006500

0.012%

G4800090, G48000600

0.0031%

G4800110, G48000100

0.00069%

G4800130, G48006100

0.013%

G4800150, G48005000

0.0097%

G4800170, G48000400

0.002%

G4800190, G48006100

0.0087%

G4800210, G48005100

0.022%

G4800230, G48000600

0.002%

G4800250, G48006500

0.0079%

G4800270, G48003501

0.051%

G4800270, G48003502

0.049%

G4800290, G48005901

0.03%

G4800290, G48005902

0.039%

G4800290, G48005903

0.032%

G4800290, G48005904

0.031%

G4800290, G48005905

0.027%

G4800290, G48005906

0.028%

G4800290, G48005907

0.025%

G4800290, G48005908

0.029%

G4800290, G48005909

0.031%

G4800290, G48005910

0.038%

G4800290, G48005911

0.042%

G4800290, G48005912

0.032%

G4800290, G48005913

0.03%

G4800290, G48005914

0.03%

G4800290, G48005915

0.031%

G4800290, G48005916

0.03%

G4800310, G48006000

0.0042%

G4800330, G48002800

0.0003%

G4800350, G48003700

0.0072%

G4800370, G48001100

0.029%

G4800390, G48004801

0.031%

G4800390, G48004802

0.031%

G4800390, G48004803

0.033%

G4800410, G48003602

0.062%

G4800430, G48003200

0.0041%

G4800450, G48000100

0.00075%

G4800470, G48006900

0.0023%

G4800490, G48002600

0.014%

G4800510, G48003601

0.0066%

G4800530, G48003400

0.016%

G4800550, G48005100

0.01%

G4800570, G48005600

0.0087%

G4800590, G48002600

0.0049%

G4800610, G48006701

0.035%

G4800610, G48006702

0.039%

G4800610, G48006703

0.035%

G4800630, G48001300

0.0042%

G4800650, G48000100

0.0021%

G4800670, G48001100

0.011%

G4800690, G48000100

0.0024%

G4800710, G48004400

0.011%

G4800730, G48001700

0.016%

G4800750, G48000100

0.0022%

G4800770, G48000600

0.0038%

G4800790, G48000400

0.001%

G4800810, G48002800

0.002%

G4800830, G48002600

0.0041%

G4800850, G48001901

0.041%

G4800850, G48001902

0.035%

G4800850, G48001903

0.031%

G4800850, G48001904

0.032%

G4800850, G48001905

0.037%

G4800850, G48001906

0.036%

G4800850, G48001907

0.035%

G4800870, G48000100

0.0011%

G4800890, G48005000

0.0079%

G4800910, G48005800

0.039%

G4800930, G48002600

0.0054%

G4800950, G48002800

0.0012%

G4800970, G48000800

0.012%

G4800990, G48003400

0.019%

G4801010, G48000600

0.00078%

G4801030, G48003200

0.0012%

G4801050, G48002800

0.0014%

G4801070, G48000400

0.0022%

G4801090, G48003200

0.00075%

G4801110, G48000100

0.0022%

G4801130, G48002301

0.026%

G4801130, G48002302

0.027%

G4801130, G48002303

0.031%

G4801130, G48002304

0.026%

G4801130, G48002305

0.031%

G4801130, G48002306

0.04%

G4801130, G48002307

0.043%

G4801130, G48002308

0.029%

G4801130, G48002309

0.036%

G4801130, G48002310

0.041%

G4801130, G48002311

0.034%

G4801130, G48002312

0.037%

G4801130, G48002313

0.052%

G4801130, G48002314

0.034%

G4801130, G48002315

0.029%

G4801130, G48002316

0.028%

G4801130, G48002317

0.029%

G4801130, G48002318

0.03%

G4801130, G48002319

0.028%

G4801130, G48002320

0.026%

G4801130, G48002321

0.035%

G4801130, G48002322

0.034%

G4801150, G48002800

0.0039%

G4801170, G48000100

0.0053%

G4801190, G48001000

0.0018%

G4801210, G48002001

0.038%

G4801210, G48002002

0.033%

G4801210, G48002003

0.034%

G4801210, G48002004

0.035%

G4801210, G48002005

0.034%

G4801210, G48002006

0.036%

G4801230, G48005500

0.0068%

G4801250, G48000400

0.001%

G4801270, G48006200

0.0032%

G4801290, G48000100

0.0016%

G4801310, G48006400

0.0041%

G4801330, G48002600

0.0076%

G4801350, G48003100

0.042%

G4801370, G48006200

0.0013%

G4801390, G48002101

0.043%

G4801410, G48003301

0.033%

G4801410, G48003302

0.041%

G4801410, G48003303

0.031%

G4801410, G48003304

0.032%

G4801410, G48003305

0.037%

G4801410, G48003306

0.038%

G4801430, G48002200

0.013%

G4801450, G48003700

0.0058%

G4801470, G48000800

0.011%

G4801490, G48005100

0.01%

G4801510, G48002600

0.0016%

G4801530, G48000400

0.0022%

G4801550, G48000600

0.00064%

G4801570, G48004901

0.028%

G4801570, G48004902

0.034%

G4801570, G48004903

0.027%

G4801570, G48004904

0.033%

G4801570, G48004905

0.045%

G4801590, G48001000

0.0043%

G4801610, G48003700

0.0069%

G4801630, G48006100

0.0044%

G4801650, G48003200

0.0047%

G4801670, G48004701

0.062%

G4801670, G48004702

0.043%

G4801690, G48000400

0.0016%

G4801710, G48006000

0.0096%

G4801730, G48002800

0.00041%

G4801750, G48005500

0.0028%

G4801770, G48005500

0.0066%

G4801790, G48000100

0.0075%

G4801810, G48000800

0.041%

G4801830, G48001600

0.038%

G4801850, G48003601

0.0082%

G4801870, G48005700

0.04%

G4801890, G48000400

0.01%

G4801910, G48000100

0.0014%

G4801930, G48003400

0.0034%

G4801950, G48000100

0.0017%

G4801970, G48000600

0.0018%

G4801990, G48004200

0.018%

G4802010, G48004601

0.04%

G4802010, G48004602

0.031%

G4802010, G48004603

0.046%

G4802010, G48004604

0.057%

G4802010, G48004605

0.031%

G4802010, G48004606

0.028%

G4802010, G48004607

0.031%

G4802010, G48004608

0.024%

G4802010, G48004609

0.036%

G4802010, G48004610

0.027%

G4802010, G48004611

0.031%

G4802010, G48004612

0.031%

G4802010, G48004613

0.046%

G4802010, G48004614

0.037%

G4802010, G48004615

0.031%

G4802010, G48004616

0.035%

G4802010, G48004617

0.032%

G4802010, G48004618

0.027%

G4802010, G48004619

0.028%

G4802010, G48004620

0.031%

G4802010, G48004621

0.033%

G4802010, G48004622

0.028%

G4802010, G48004623

0.031%

G4802010, G48004624

0.033%

G4802010, G48004625

0.03%

G4802010, G48004626

0.036%

G4802010, G48004627

0.032%

G4802010, G48004628

0.031%

G4802010, G48004629

0.037%

G4802010, G48004630

0.032%

G4802010, G48004631

0.034%

G4802010, G48004632

0.033%

G4802010, G48004633

0.027%

G4802010, G48004634

0.027%

G4802010, G48004635

0.03%

G4802010, G48004636

0.036%

G4802010, G48004637

0.042%

G4802010, G48004638

0.028%

G4802030, G48001200

0.021%

G4802050, G48000100

0.0015%

G4802070, G48002600

0.0026%

G4802090, G48005400

0.052%

G4802110, G48000100

0.0013%

G4802130, G48001800

0.03%

G4802150, G48006801

0.027%

G4802150, G48006802

0.025%

G4802150, G48006803

0.029%

G4802150, G48006804

0.026%

G4802150, G48006805

0.037%

G4802150, G48006806

0.028%

G4802150, G48006807

0.023%

G4802170, G48003700

0.012%

G4802190, G48000400

0.0069%

G4802210, G48002200

0.019%

G4802230, G48001000

0.011%

G4802250, G48003900

0.0086%

G4802270, G48002800

0.0098%

G4802290, G48003200

0.0011%

G4802310, G48000900

0.028%

G4802330, G48000100

0.0079%

G4802350, G48002800

0.00065%

G4802370, G48000600

0.0031%

G4802390, G48005500

0.0049%

G4802410, G48004100

0.013%

G4802430, G48003200

0.0012%

G4802450, G48004301

0.039%

G4802450, G48004302

0.041%

G4802470, G48006400

0.0018%

G4802490, G48006900

0.012%

G4802510, G48002102

0.044%

G4802530, G48002600

0.0055%

G4802550, G48005500

0.0043%

G4802570, G48001400

0.029%

G4802590, G48006000

0.011%

G4802610, G48006900

0.00021%

G4802630, G48002600

0.00035%

G4802650, G48006000

0.018%

G4802670, G48002800

0.0026%

G4802690, G48000400

0.00012%

G4802710, G48006200

0.0013%

G4802730, G48006900

0.0098%

G4802750, G48002600

0.0015%

G4802770, G48001000

0.017%

G4802790, G48000400

0.0046%

G4802810, G48003400

0.0067%

G4802830, G48006200

0.0023%

G4802850, G48005500

0.0077%

G4802870, G48005100

0.0057%

G4802890, G48003601

0.0071%

G4802910, G48004400

0.022%

G4802930, G48003700

0.0079%

G4802950, G48000100

0.0011%

G4802970, G48006400

0.0045%

G4802990, G48003400

0.011%

G4803010, G48003200

4.8e-05%

G4803030, G48000501

0.036%

G4803030, G48000502

0.054%

G4803050, G48000400

0.002%

G4803070, G48002800

0.0032%

G4803090, G48003801

0.033%

G4803090, G48003802

0.04%

G4803110, G48006400

0.00031%

G4803130, G48003601

0.0039%

G4803150, G48001200

0.0047%

G4803170, G48002800

0.0014%

G4803190, G48002800

0.002%

G4803210, G48005000

0.014%

G4803230, G48006200

0.013%

G4803250, G48006100

0.013%

G4803270, G48002800

0.0012%

G4803290, G48003000

0.043%

G4803310, G48003601

0.0085%

G4803330, G48003400

0.0021%

G4803350, G48002600

0.003%

G4803370, G48000600

0.0076%

G4803390, G48004501

0.041%

G4803390, G48004502

0.038%

G4803390, G48004503

0.035%

G4803390, G48004504

0.032%

G4803410, G48000100

0.0059%

G4803430, G48001000

0.0045%

G4803450, G48000400

0.00059%

G4803470, G48004000

0.021%

G4803490, G48003700

0.015%

G4803510, G48004100

0.0053%

G4803530, G48002600

0.0053%

G4803550, G48006601

0.039%

G4803550, G48006602

0.035%

G4803550, G48006603

0.035%

G4803570, G48000100

0.003%

G4803590, G48000100

0.0006%

G4803610, G48004200

0.027%

G4803630, G48002200

0.011%

G4803650, G48001700

0.0082%

G4803670, G48002400

0.036%

G4803690, G48000100

0.0028%

G4803710, G48003200

0.0042%

G4803730, G48003900

0.018%

G4803750, G48000200

0.037%

G4803770, G48003200

0.003%

G4803790, G48001300

0.0039%

G4803810, G48000300

0.04%

G4803830, G48002800

0.001%

G4803850, G48006200

0.002%

G4803870, G48001000

0.0051%

G4803890, G48003200

0.0035%

G4803910, G48006500

0.0028%

G4803930, G48000100

0.00031%

G4803950, G48003601

0.0064%

G4803970, G48000900

0.023%

G4803990, G48002600

0.0039%

G4804010, G48001700

0.016%

G4804030, G48004100

0.006%

G4804050, G48004100

0.004%

G4804070, G48003900

0.0098%

G4804090, G48006500

0.02%

G4804110, G48003400

0.0024%

G4804130, G48002800

0.0011%

G4804150, G48002600

0.0054%

G4804170, G48002600

0.0013%

G4804190, G48004100

0.0089%

G4804210, G48000100

0.001%

G4804230, G48001501

0.031%

G4804230, G48001502

0.035%

G4804250, G48002200

0.0028%

G4804270, G48006400

0.015%

G4804290, G48002600

0.0037%

G4804310, G48002800

0.00044%

G4804330, G48002600

0.00063%

G4804350, G48002800

0.0015%

G4804370, G48000100

0.0024%

G4804390, G48002501

0.032%

G4804390, G48002502

0.044%

G4804390, G48002503

0.035%

G4804390, G48002504

0.027%

G4804390, G48002505

0.03%

G4804390, G48002506

0.031%

G4804390, G48002507

0.037%

G4804390, G48002508

0.029%

G4804390, G48002509

0.043%

G4804390, G48002510

0.033%

G4804390, G48002511

0.03%

G4804390, G48002512

0.028%

G4804390, G48002513

0.036%

G4804390, G48002514

0.046%

G4804390, G48002515

0.035%

G4804390, G48002516

0.036%

G4804410, G48002700

0.042%

G4804430, G48003200

0.00057%

G4804450, G48000400

0.0036%

G4804470, G48002600

0.0008%

G4804490, G48001000

0.009%

G4804510, G48002900

0.036%

G4804530, G48005301

0.034%

G4804530, G48005302

0.037%

G4804530, G48005303

0.04%

G4804530, G48005304

0.039%

G4804530, G48005305

0.036%

G4804530, G48005306

0.052%

G4804530, G48005307

0.043%

G4804530, G48005308

0.037%

G4804530, G48005309

0.036%

G4804550, G48003900

0.0065%

G4804570, G48004100

0.0079%

G4804590, G48001200

0.012%

G4804610, G48002800

0.0012%

G4804630, G48006200

0.0082%

G4804650, G48006200

0.014%

G4804670, G48001300

0.017%

G4804690, G48005600

0.027%

G4804710, G48003900

0.019%

G4804730, G48005000

0.012%

G4804750, G48003200

0.0035%

G4804770, G48003601

0.012%

G4804790, G48006301

0.032%

G4804790, G48006302

0.027%

G4804810, G48005000

0.013%

G4804830, G48000100

0.002%

G4804850, G48000700

0.042%

G4804870, G48000600

0.0047%

G4804890, G48006900

0.0053%

G4804910, G48005201

0.036%

G4804910, G48005202

0.03%

G4804910, G48005203

0.034%

G4804910, G48005204

0.032%

G4804930, G48005500

0.013%

G4804950, G48003200

0.0022%

G4804970, G48000600

0.018%

G4804990, G48001300

0.016%

G4805010, G48000400

0.0022%

G4805030, G48000600

0.0065%

G4805050, G48006400

0.0046%

G4805070, G48006200

0.0032%

G4900010, G49021001

0.0022%

G4900030, G49003001

0.013%

G4900050, G49005001

0.029%

G4900070, G49013001

0.0072%

G4900090, G49013001

0.00087%

G4900110, G49011001

0.048%

G4900110, G49011002

0.029%

G4900130, G49013001

0.0073%

G4900150, G49013001

0.0034%

G4900170, G49021001

0.0028%

G4900190, G49013001

0.0038%

G4900210, G49021001

0.015%

G4900230, G49021001

0.0027%

G4900250, G49021001

0.0044%

G4900270, G49021001

0.0037%

G4900290, G49005001

0.0025%

G4900310, G49021001

0.0007%

G4900330, G49005001

0.0022%

G4900350, G49035001

0.024%

G4900350, G49035002

0.043%

G4900350, G49035003

0.023%

G4900350, G49035004

0.031%

G4900350, G49035005

0.046%

G4900350, G49035006

0.024%

G4900350, G49035007

0.036%

G4900350, G49035008

0.03%

G4900350, G49035009

0.025%

G4900370, G49013001

0.0043%

G4900390, G49021001

0.0078%

G4900410, G49021001

0.0064%

G4900430, G49005001

0.02%

G4900450, G49003001

0.015%

G4900470, G49013001

0.0097%

G4900490, G49049001

0.024%

G4900490, G49049002

0.037%

G4900490, G49049003

0.026%

G4900490, G49049004

0.032%

G4900510, G49013001

0.0087%

G4900530, G49053001

0.047%

G4900550, G49021001

0.0012%

G4900570, G49057001

0.033%

G4900570, G49057002

0.032%

G5000010, G50000400

0.013%

G5000030, G50000400

0.016%

G5000050, G50000200

0.012%

G5000070, G50000100

0.05%

G5000090, G50000200

0.0038%

G5000110, G50000100

0.016%

G5000130, G50000100

0.0038%

G5000150, G50000200

0.0099%

G5000170, G50000300

0.011%

G5000190, G50000200

0.012%

G5000210, G50000400

0.025%

G5000230, G50000200

0.022%

G5000250, G50000300

0.022%

G5000270, G50000300

0.026%

G5100010, G51051125

0.016%

G5100030, G51051089

0.013%

G5100030, G51051090

0.02%

G5100050, G51051045

0.006%

G5100070, G51051105

0.0041%

G5100090, G51051095

0.01%

G5100110, G51051095

0.0053%

G5100130, G51001301

0.04%

G5100130, G51001302

0.042%

G5100150, G51051080

0.024%

G5100170, G51051080

0.0026%

G5100190, G51051095

0.027%

G5100210, G51051020

0.0024%

G5100230, G51051045

0.011%

G5100250, G51051105

0.0061%

G5100270, G51051010

0.0085%

G5100290, G51051105

0.0054%

G5100310, G51051096

0.019%

G5100330, G51051120

0.0089%

G5100350, G51051020

0.012%

G5100360, G51051215

0.0025%

G5100370, G51051105

0.0047%

G5100410, G51004101

0.033%

G5100410, G51004102

0.033%

G5100410, G51004103

0.028%

G5100430, G51051084

0.0047%

G5100450, G51051045

0.0022%

G5100470, G51051087

0.014%

G5100490, G51051105

0.0035%

G5100510, G51051010

0.0056%

G5100530, G51051135

0.0086%

G5100570, G51051125

0.0043%

G5100590, G51059301

0.04%

G5100590, G51059302

0.037%

G5100590, G51059303

0.033%

G5100590, G51059304

0.027%

G5100590, G51059305

0.034%

G5100590, G51059306

0.029%

G5100590, G51059307

0.047%

G5100590, G51059308

0.029%

G5100590, G51059309

0.031%

G5100610, G51051087

0.02%

G5100630, G51051040

0.0059%

G5100650, G51051089

0.008%

G5100670, G51051045

0.022%

G5100690, G51051084

0.024%

G5100710, G51051040

0.0062%

G5100730, G51051125

0.012%

G5100750, G51051215

0.0066%

G5100770, G51051020

0.0068%

G5100790, G51051090

0.006%

G5100810, G51051135

0.0031%

G5100830, G51051105

0.013%

G5100850, G51051215

0.03%

G5100870, G51051224

0.047%

G5100870, G51051225

0.054%

G5100890, G51051097

0.019%

G5100910, G51051080

0.0015%

G5100930, G51051145

0.011%

G5100950, G51051206

0.024%

G5100970, G51051125

0.0026%

G5100990, G51051120

0.0073%

G5101010, G51051215

0.005%

G5101030, G51051125

0.0057%

G5101050, G51051010

0.0087%

G5101070, G51010701

0.029%

G5101070, G51010702

0.032%

G5101070, G51010703

0.031%

G5101090, G51051089

0.013%

G5101110, G51051105

0.0044%

G5101130, G51051087

0.0045%

G5101150, G51051125

0.0043%

G5101170, G51051105

0.014%

G5101190, G51051125

0.0054%

G5101210, G51051040

0.029%

G5101250, G51051089

0.0075%

G5101270, G51051215

0.0059%

G5101310, G51051125

0.0055%

G5101330, G51051125

0.0068%

G5101350, G51051105

0.005%

G5101370, G51051087

0.011%

G5101390, G51051085

0.0087%

G5101410, G51051097

0.0075%

G5101430, G51051097

0.023%

G5101450, G51051215

0.0078%

G5101470, G51051105

0.0069%

G5101490, G51051135

0.0091%

G5101530, G51051244

0.029%

G5101530, G51051245

0.016%

G5101530, G51051246

0.062%

G5101550, G51051040

0.013%

G5101570, G51051087

0.0029%

G5101590, G51051125

0.0029%

G5101610, G51051044

0.0028%

G5101610, G51051045

0.027%

G5101630, G51051080

0.0084%

G5101650, G51051110

0.026%

G5101670, G51051010

0.01%

G5101690, G51051010

0.0089%

G5101710, G51051085

0.016%

G5101730, G51051020

0.011%

G5101750, G51051145

0.0056%

G5101770, G51051120

0.035%

G5101790, G51051115

0.035%

G5101810, G51051135

0.0026%

G5101830, G51051135

0.0034%

G5101850, G51051010

0.015%

G5101870, G51051085

0.012%

G5101910, G51051020

0.019%

G5101930, G51051125

0.0081%

G5101950, G51051010

0.013%

G5101970, G51051020

0.011%

G5101990, G51051206

0.02%

G5105100, G51051255

0.056%

G5105200, G51051020

0.0066%

G5105300, G51051080

0.0022%

G5105400, G51051090

0.015%

G5105500, G51055001

0.036%

G5105500, G51055002

0.029%

G5105700, G51051135

0.0058%

G5105800, G51051045

0.0023%

G5105900, G51051097

0.017%

G5105950, G51051135

0.0018%

G5106000, G51059303

0.0066%

G5106100, G51059308

0.0043%

G5106200, G51051145

0.0029%

G5106300, G51051115

0.0085%

G5106400, G51051020

0.0025%

G5106500, G51051186

0.045%

G5106600, G51051110

0.013%

G5106700, G51051135

0.0077%

G5106780, G51051080

0.0016%

G5106800, G51051096

0.024%

G5106830, G51051245

0.01%

G5106850, G51051245

0.0036%

G5106900, G51051097

0.0053%

G5107000, G51051175

0.058%

G5107100, G51051154

0.066%

G5107100, G51051155

0.0059%

G5107200, G51051010

0.0015%

G5107300, G51051135

0.012%

G5107350, G51051206

0.0035%

G5107400, G51051155

0.031%

G5107500, G51051040

0.0049%

G5107600, G51051235

0.075%

G5107700, G51051044

0.035%

G5107750, G51051044

0.0081%

G5107900, G51051080

0.0088%

G5108000, G51051145

0.026%

G5108100, G51051164

0.047%

G5108100, G51051165

0.051%

G5108100, G51051167

0.038%

G5108200, G51051080

0.0074%

G5108300, G51051206

0.0038%

G5108400, G51051084

0.0089%

G5300010, G53010600

0.0047%

G5300030, G53010600

0.0073%

G5300050, G53010701

0.014%

G5300050, G53010702

0.032%

G5300050, G53010703

0.0077%

G5300070, G53010300

0.027%

G5300090, G53011900

0.027%

G5300110, G53011101

0.035%

G5300110, G53011102

0.033%

G5300110, G53011103

0.03%

G5300110, G53011104

0.031%

G5300130, G53010600

0.0016%

G5300150, G53011200

0.032%

G5300170, G53010300

0.012%

G5300190, G53010400

0.0033%

G5300210, G53010701

0.015%

G5300210, G53010703

0.0044%

G5300230, G53010600

0.0009%

G5300250, G53010800

0.027%

G5300270, G53011300

0.026%

G5300290, G53010200

0.03%

G5300310, G53011900

0.013%

G5300330, G53011601

0.055%

G5300330, G53011602

0.04%

G5300330, G53011603

0.061%

G5300330, G53011604

0.04%

G5300330, G53011605

0.045%

G5300330, G53011606

0.036%

G5300330, G53011607

0.045%

G5300330, G53011608

0.045%

G5300330, G53011609

0.041%

G5300330, G53011610

0.041%

G5300330, G53011611

0.038%

G5300330, G53011612

0.039%

G5300330, G53011613

0.034%

G5300330, G53011614

0.032%

G5300330, G53011615

0.034%

G5300330, G53011616

0.033%

G5300350, G53011801

0.04%

G5300350, G53011802

0.042%

G5300370, G53010800

0.017%

G5300390, G53011000

0.0074%

G5300410, G53011000

0.025%

G5300430, G53010600

0.0044%

G5300450, G53011300

0.024%

G5300470, G53010400

0.017%

G5300490, G53011200

0.012%

G5300510, G53010400

0.006%

G5300530, G53011501

0.041%

G5300530, G53011502

0.038%

G5300530, G53011503

0.034%

G5300530, G53011504

0.037%

G5300530, G53011505

0.033%

G5300530, G53011506

0.036%

G5300530, G53011507

0.03%

G5300550, G53010200

0.01%

G5300570, G53010200

0.039%

G5300590, G53011000

0.0042%

G5300610, G53011701

0.036%

G5300610, G53011702

0.037%

G5300610, G53011703

0.037%

G5300610, G53011704

0.034%

G5300610, G53011705

0.037%

G5300610, G53011706

0.041%

G5300630, G53010501

0.041%

G5300630, G53010502

0.042%

G5300630, G53010503

0.041%

G5300630, G53010504

0.031%

G5300650, G53010400

0.016%

G5300670, G53011401

0.052%

G5300670, G53011402

0.031%

G5300690, G53011200

0.0016%

G5300710, G53010703

0.018%

G5300730, G53010100

0.069%

G5300750, G53010600

0.015%

G5300770, G53010901

0.035%

G5300770, G53010902

0.029%

G5400010, G54000500

0.0059%

G5400030, G54000400

0.035%

G5400050, G54000900

0.0082%

G5400070, G54000600

0.0055%

G5400090, G54000100

0.0081%

G5400110, G54000800

0.035%

G5400130, G54000600

0.0029%

G5400150, G54001000

0.0034%

G5400170, G54000200

0.0029%

G5400190, G54001200

0.016%

G5400210, G54000600

0.0026%

G5400230, G54000500

0.0048%

G5400250, G54001100

0.014%

G5400270, G54000400

0.01%

G5400290, G54000100

0.011%

G5400310, G54000500

0.0061%

G5400330, G54000200

0.024%

G5400350, G54000600

0.0099%

G5400370, G54000400

0.017%

G5400390, G54001000

0.069%

G5400410, G54000500

0.0059%

G5400430, G54000900

0.0073%

G5400450, G54001300

0.012%

G5400470, G54001300

0.0083%

G5400490, G54000200

0.02%

G5400510, G54000100

0.012%

G5400530, G54000800

0.0097%

G5400550, G54001200

0.022%

G5400570, G54000400

0.0098%

G5400590, G54001300

0.0094%

G5400610, G54000300

0.033%

G5400630, G54001100

0.0057%

G5400650, G54000400

0.0073%

G5400670, G54001100

0.0097%

G5400690, G54000100

0.016%

G5400710, G54000500

0.0039%

G5400730, G54000700

0.0025%

G5400750, G54001100

0.0066%

G5400770, G54000300

0.011%

G5400790, G54000900

0.018%

G5400810, G54001200

0.027%

G5400830, G54000500

0.011%

G5400850, G54000600

0.0043%

G5400870, G54000600

0.0055%

G5400890, G54001100

0.0057%

G5400910, G54000200

0.0056%

G5400930, G54000500

0.004%

G5400950, G54000600

0.0037%

G5400970, G54000500

0.0084%

G5400990, G54000800

0.014%

G5401010, G54001100

0.004%

G5401030, G54000600

0.0061%

G5401050, G54000700

0.0024%

G5401070, G54000700

0.03%

G5401090, G54001300

0.0081%

G5500010, G55001601

0.013%

G5500030, G55000100

0.0072%

G5500050, G55055101

0.018%

G5500070, G55000100

0.0098%

G5500090, G55000200

0.034%

G5500090, G55000300

0.046%

G5500110, G55000700

0.005%

G5500130, G55000100

0.011%

G5500150, G55001401

0.015%

G5500170, G55055101

0.0036%

G5500170, G55055103

0.017%

G5500190, G55055101

0.011%

G5500210, G55001000

0.02%

G5500230, G55000700

0.0066%

G5500250, G55000101

0.04%

G5500250, G55000102

0.059%

G5500250, G55000103

0.067%

G5500270, G55001001

0.028%

G5500290, G55001300

0.018%

G5500310, G55000100

0.017%

G5500330, G55055102

0.013%

G5500350, G55055103

0.032%

G5500370, G55001300

0.0036%

G5500390, G55001401

0.033%

G5500410, G55000600

0.0068%

G5500430, G55000800

0.016%

G5500450, G55000800

0.012%

G5500470, G55001400

0.0079%

G5500490, G55000800

0.008%

G5500510, G55000100

0.0045%

G5500530, G55000700

0.0073%

G5500550, G55001001

0.026%

G5500570, G55001601

0.011%

G5500590, G55010000

0.052%

G5500610, G55001301

0.007%

G5500630, G55000900

0.037%

G5500650, G55000800

0.0054%

G5500670, G55000600

0.0092%

G5500690, G55000600

0.013%

G5500710, G55001301

0.028%

G5500730, G55001600

0.044%

G5500750, G55001300

0.023%

G5500770, G55001400

0.0074%

G5500780, G55001400

0.0017%

G5500790, G55040101

0.041%

G5500790, G55040301

0.038%

G5500790, G55040701

0.06%

G5500790, G55041001

0.033%

G5500790, G55041002

0.038%

G5500790, G55041003

0.035%

G5500790, G55041004

0.028%

G5500790, G55041005

0.038%

G5500810, G55000700

0.015%

G5500830, G55001300

0.018%

G5500850, G55000600

0.023%

G5500870, G55001500

0.056%

G5500890, G55020000

0.027%

G5500910, G55000700

0.0027%

G5500930, G55000700

0.012%

G5500950, G55055101

0.018%

G5500970, G55001601

0.023%

G5500990, G55000100

0.0082%

G5501010, G55030000

0.061%

G5501030, G55000800

0.0066%

G5501050, G55002400

0.051%

G5501070, G55000100

0.0067%

G5501090, G55055102

0.026%

G5501110, G55001000

0.022%

G5501130, G55000100

0.012%

G5501150, G55001400

0.015%

G5501170, G55002500

0.038%

G5501190, G55000100

0.0079%

G5501210, G55000700

0.0096%

G5501230, G55000700

0.01%

G5501250, G55000600

0.019%

G5501270, G55050000

0.039%

G5501290, G55000100

0.0097%

G5501310, G55020000

0.041%

G5501330, G55070101

0.035%

G5501330, G55070201

0.048%

G5501330, G55070301

0.039%

G5501350, G55001400

0.019%

G5501370, G55001400

0.011%

G5501390, G55001501

0.055%

G5501410, G55001601

0.026%

G5600010, G56000300

0.014%

G5600030, G56000100

0.004%

G5600050, G56000200

0.015%

G5600070, G56000400

0.0064%

G5600090, G56000400

0.0049%

G5600110, G56000200

0.0027%

G5600130, G56000500

0.013%

G5600150, G56000200

0.0044%

G5600170, G56000500

0.0019%

G5600190, G56000200

0.0034%

G5600210, G56000300

0.031%

G5600230, G56000100

0.0067%

G5600250, G56000400

0.027%

G5600270, G56000200

0.00096%

G5600290, G56000100

0.01%

G5600310, G56000200

0.0035%

G5600330, G56000100

0.011%

G5600350, G56000500

0.0044%

G5600370, G56000500

0.014%

G5600390, G56000100

0.0099%

G5600410, G56000500

0.0065%

G5600430, G56000200

0.0028%

G5600450, G56000200

0.0026%

Custom State

Description

A custom selection of states to be able to have more fine tuned probability distributionin states where we have more data

Created by

sources/aris/tsv_maker.py

Options

From project_national the list of options, option stock saturation, and option arguments for the Custom State characteristic.

Option name

Stock saturation

AK

0.23%

Others

1e+02%

Dehumidifier

Description

Presence, water removal rate, and humidity setpoint of the dehumidifier.

Created by

manually created

Source

  • Not applicable (dehumidifiers are not explicitly modeled separate from plug loads)

Arguments

Name

Required

Units

Type

Choices

Description

dehumidifier_type

true

Choice

none, portable, whole-home

The type of dehumidifier.

dehumidifier_efficiency_type

true

Choice

EnergyFactor, IntegratedEnergyFactor

The efficiency type of dehumidifier.

dehumidifier_efficiency

true

liters/kWh

Double

The efficiency of the dehumidifier.

dehumidifier_capacity

true

pint/day

Double

The capacity (water removal rate) of the dehumidifier.

dehumidifier_rh_setpoint

true

Frac

Double

The relative humidity setpoint of the dehumidifier.

dehumidifier_fraction_dehumidification_load_served

true

Frac

Double

The dehumidification load served fraction of the dehumidifier.

Options

From project_national the list of options, option stock saturation, and option arguments for the Dehumidifier characteristic.

Option name

Stock saturation

dehumidifier_type

dehumidifier_efficiency_type

dehumidifier_efficiency

dehumidifier_capacity

dehumidifier_rh_setpoint

dehumidifier_fraction_dehumidification_load_served

None

100%

none

EnergyFactor

0

40

0.5

1

Dishwasher

Description

The presence and rated efficiency of the dishwasher.

Created by

sources/recs/recs2020/tsv_maker.py

Source

  • U.S. EIA 2020 Residential Energy Consumption Survey (RECS) microdata.

Assumption

  • The 2020 recs survey does not contain EnergyStar rating of dishwashers.Energystar efficiency distributions with [Geometry Building Type,Census Division RECS,Federal Poverty Level, Tenure] as dependencies are imported from RECS 2009Due to low sample count, the tsv is constructed with the followingfallback coarsening order

    • [1] State coarsened to Census Division RECS with AK/HI separate

    • [2] Geometry Building Type RECS coarsened to SF/MF/MH

    • [3] Geometry Building Type RECS coarsened to SF and MH/MF

    • [4] Federal Poverty Level coarsened every 100 percent

    • [5] Federal Poverty Level coarsened every 200 percent

    • [6] Vintage coarsened to every 20 years before 2000 and every 10 years subsequently

    • [7] Vintage homes built before 1960 coarsened to pre1960

    • [8] Vintage homes built after 2000 coarsened to 2000-20

    • [9] Census Division RECS with AK/HI separate coarsened to Census Division RECS

    • [10] Census Division RECS to Census Region

Arguments

Name

Required

Units

Type

Choices

Description

dishwasher_present

true

Boolean

true, false

Whether there is a dishwasher present.

dishwasher_location

false

Choice

auto, conditioned space, basement - conditioned, basement - unconditioned, garage, other housing unit, other heated space, other multifamily buffer space, other non-freezing space

The space type for the dishwasher location. If not provided, the OS-HPXML default (see HPXML Dishwasher) is used.

dishwasher_efficiency_type

true

Choice

RatedAnnualkWh, EnergyFactor

The efficiency type of dishwasher.

dishwasher_efficiency

false

RatedAnnualkWh or EnergyFactor

Double

auto

The efficiency of the dishwasher. If not provided, the OS-HPXML default (see HPXML Dishwasher) is used.

dishwasher_label_electric_rate

false

$/kWh

Double

auto

The label electric rate of the dishwasher. If not provided, the OS-HPXML default (see HPXML Dishwasher) is used.

dishwasher_label_gas_rate

false

$/therm

Double

auto

The label gas rate of the dishwasher. If not provided, the OS-HPXML default (see HPXML Dishwasher) is used.

dishwasher_label_annual_gas_cost

false

$

Double

auto

The label annual gas cost of the dishwasher. If not provided, the OS-HPXML default (see HPXML Dishwasher) is used.

dishwasher_label_usage

false

cyc/wk

Double

auto

The dishwasher loads per week. If not provided, the OS-HPXML default (see HPXML Dishwasher) is used.

dishwasher_place_setting_capacity

false

#

Integer

auto

The number of place settings for the unit. Data obtained from manufacturer’s literature. If not provided, the OS-HPXML default (see HPXML Dishwasher) is used.

Options

From project_national the list of options, option stock saturation, and option arguments for the Dishwasher characteristic.

Option name

Stock saturation

dishwasher_present

dishwasher_location

dishwasher_efficiency_type

dishwasher_efficiency

dishwasher_label_electric_rate

dishwasher_label_gas_rate

dishwasher_label_annual_gas_cost

dishwasher_label_usage

dishwasher_place_setting_capacity

290 Rated kWh

30%

true

auto

RatedAnnualkWh

290

0.12

1.09

23

4

12

318 Rated kWh

42%

true

auto

RatedAnnualkWh

318

0.12

1.09

25

4

12

None

28%

false

auto

RatedAnnualkWh

0

0

0

0

0

0

Void

0%

Dishwasher Usage Level

Description

Dishwasher energy usage level multiplier.

Created by

sources/other/tsv_maker.py

Source

  • n/a

Assumption

  • Engineering judgement

Arguments

Name

Required

Units

Type

Choices

Description

dishwasher_usage_multiplier

false

Double

auto

Multiplier on the dishwasher energy usage that can reflect, e.g., high/low usage occupants. If not provided, the OS-HPXML default (see HPXML Dishwasher) is used.

Options

From project_national the list of options, option stock saturation, and option arguments for the Dishwasher Usage Level characteristic.

Option name

Stock saturation

dishwasher_usage_multiplier

80% Usage

25%

0.8

100% Usage

50%

1.0

120% Usage

25%

1.2

Door Area

Description

Area of exterior doors

Created by

manually created

Source

  • Engineering Judgement

Arguments

Name

Required

Units

Type

Choices

Description

door_area

true

ft^2

Double

The area of the opaque door(s).

Options

From project_national the list of options, option stock saturation, and option arguments for the Door Area characteristic.

Option name

Stock saturation

door_area

20 ft^2

100%

20

Doors

Description

Exterior door material and properties.

Created by

manually created

Source

  • Engineering Judgement

Arguments

Name

Required

Units

Type

Choices

Description

door_rvalue

true

h-ft^2-R/Btu

Double

R-value of the opaque door(s).

Options

From project_national the list of options, option stock saturation, and option arguments for the Doors characteristic.

Option name

Stock saturation

door_rvalue

Fiberglass

100%

5

Duct Leakage and Insulation

Description

Duct insulation and leakage to outside from the portion of ducts in unconditioned spaces

Created by

sources/other/tsv_maker.py

Source

  • Duct insulation as a function of location: IECC 2009

  • Leakage distribution: Lucas and Cole, ‘Impacts of the 2009 IECC for Residential Buildings at State Level’, 2009

Assumption

  • Ducts entirely in conditioned spaces will not have any leakage to outside. Ducts with R-4/R-8 insulation were previously assigned to Geometry Foundation Type = Ambient or Slab. They now correspond to those with Duct Location = Garage, Unvented Attic, or Vented Attic.

Arguments

Name

Required

Units

Type

Choices

Description

ducts_leakage_units

true

Choice

CFM25, CFM50, Percent

The leakage units of the ducts.

ducts_supply_leakage_to_outside_value

true

Double

The leakage value to outside for the supply ducts.

ducts_supply_insulation_r

true

h-ft^2-R/Btu

Double

The nominal insulation r-value of the supply ducts excluding air films. Use 0 for uninsulated ducts.

ducts_supply_buried_insulation_level

false

Choice

auto, not buried, partially buried, fully buried, deeply buried

Whether the supply ducts are buried in, e.g., attic loose-fill insulation. Partially buried ducts have insulation that does not cover the top of the ducts. Fully buried ducts have insulation that just covers the top of the ducts. Deeply buried ducts have insulation that continues above the top of the ducts.

ducts_supply_fraction_rectangular

false

frac

Double

auto

The fraction of supply ducts that are rectangular (as opposed to round); this affects the duct effective R-value used for modeling. If not provided, the OS-HPXML default (see Air Distribution) is used.

ducts_return_leakage_to_outside_value

true

Double

The leakage value to outside for the return ducts.

ducts_return_insulation_r

true

h-ft^2-R/Btu

Double

The nominal insulation r-value of the return ducts excluding air films. Use 0 for uninsulated ducts.

ducts_return_buried_insulation_level

false

Choice

auto, not buried, partially buried, fully buried, deeply buried

Whether the return ducts are buried in, e.g., attic loose-fill insulation. Partially buried ducts have insulation that does not cover the top of the ducts. Fully buried ducts have insulation that just covers the top of the ducts. Deeply buried ducts have insulation that continues above the top of the ducts.

ducts_return_fraction_rectangular

false

frac

Double

auto

The fraction of return ducts that are rectangular (as opposed to round); this affects the duct effective R-value used for modeling. If not provided, the OS-HPXML default (see Air Distribution) is used.

Options

From project_national the list of options, option stock saturation, and option arguments for the Duct Leakage and Insulation characteristic.

Option name

Stock saturation

ducts_leakage_units

ducts_supply_leakage_to_outside_value

ducts_supply_insulation_r

ducts_supply_buried_insulation_level

ducts_supply_fraction_rectangular

ducts_return_leakage_to_outside_value

ducts_return_insulation_r

ducts_return_buried_insulation_level

ducts_return_fraction_rectangular

0% Leakage to Outside, Uninsulated

30%

Percent

0

0

auto

auto

0

0

auto

auto

10% Leakage to Outside, R-4

3.9%

Percent

0.067

4

auto

auto

0.033

4

auto

auto

10% Leakage to Outside, R-6

0.89%

Percent

0.067

6

auto

auto

0.033

6

auto

auto

10% Leakage to Outside, R-8

1.8%

Percent

0.067

8

auto

auto

0.033

8

auto

auto

10% Leakage to Outside, Uninsulated

5.5%

Percent

0.067

0

auto

auto

0.033

0

auto

auto

20% Leakage to Outside, R-4

7%

Percent

0.133

4

auto

auto

0.067

4

auto

auto

20% Leakage to Outside, R-6

1.6%

Percent

0.133

6

auto

auto

0.067

6

auto

auto

20% Leakage to Outside, R-8

3.2%

Percent

0.133

8

auto

auto

0.067

8

auto

auto

20% Leakage to Outside, Uninsulated

9.9%

Percent

0.133

0

auto

auto

0.067

0

auto

auto

30% Leakage to Outside, R-4

4%

Percent

0.200

4

auto

auto

0.100

4

auto

auto

30% Leakage to Outside, R-6

0.93%

Percent

0.200

6

auto

auto

0.100

6

auto

auto

30% Leakage to Outside, R-8

1.8%

Percent

0.200

8

auto

auto

0.100

8

auto

auto

30% Leakage to Outside, Uninsulated

5.7%

Percent

0.200

0

auto

auto

0.100

0

auto

auto

None

24%

Percent

0

0

auto

auto

0

0

auto

auto

Duct Location

Description

Location of Duct System

Created by

sources/other/tsv_maker.py

Source

  • OpenStudio-HPXML v1.6.0 and Wilson et al., ‘Building America House Simulation Protocols’, 2014

Assumption

  • Based on default duct location assignment in OpenStudio-HPXML: the first present space type in the order of: basement - conditioned, basement - unconditioned, crawlspace - conditioned, crawlspace - vented, crawlspace - unvented, attic - vented, attic - unvented, garage, or living space

Arguments

Name

Required

Units

Type

Choices

Description

ducts_supply_location

false

Choice

auto, conditioned space, basement - conditioned, basement - unconditioned, crawlspace, crawlspace - vented, crawlspace - unvented, crawlspace - conditioned, attic, attic - vented, attic - unvented, garage, exterior wall, under slab, roof deck, outside, other housing unit, other heated space, other multifamily buffer space, other non-freezing space, manufactured home belly

The location of the supply ducts. If not provided, the OS-HPXML default (see Air Distribution) is used.

ducts_supply_surface_area

false

ft^2

Double

auto

The supply ducts surface area in the given location. If neither Surface Area nor Area Fraction provided, the OS-HPXML default (see Air Distribution) is used.

ducts_supply_surface_area_fraction

false

frac

Double

auto

The fraction of supply ducts surface area in the given location. Only used if Surface Area is not provided. If the fraction is less than 1, the remaining duct area is assumed to be in conditioned space. If neither Surface Area nor Area Fraction provided, the OS-HPXML default (see Air Distribution) is used.

ducts_return_location

false

Choice

auto, conditioned space, basement - conditioned, basement - unconditioned, crawlspace, crawlspace - vented, crawlspace - unvented, crawlspace - conditioned, attic, attic - vented, attic - unvented, garage, exterior wall, under slab, roof deck, outside, other housing unit, other heated space, other multifamily buffer space, other non-freezing space, manufactured home belly

The location of the return ducts. If not provided, the OS-HPXML default (see Air Distribution) is used.

ducts_return_surface_area

false

ft^2

Double

auto

The return ducts surface area in the given location. If neither Surface Area nor Area Fraction provided, the OS-HPXML default (see Air Distribution) is used.

ducts_return_surface_area_fraction

false

frac

Double

auto

The fraction of return ducts surface area in the given location. Only used if Surface Area is not provided. If the fraction is less than 1, the remaining duct area is assumed to be in conditioned space. If neither Surface Area nor Area Fraction provided, the OS-HPXML default (see Air Distribution) is used.

ducts_number_of_return_registers

false

#

Integer

auto

The number of return registers of the ducts. Only used to calculate default return duct surface area. If not provided, the OS-HPXML default (see Air Distribution) is used.

Options

From project_national the list of options, option stock saturation, and option arguments for the Duct Location characteristic.

Option name

Stock saturation

ducts_supply_location

ducts_supply_surface_area

ducts_supply_surface_area_fraction

ducts_return_location

ducts_return_surface_area

ducts_return_surface_area_fraction

ducts_number_of_return_registers

Attic

17%

attic

auto

auto

attic

auto

auto

auto

Crawlspace

15%

crawlspace

auto

auto

crawlspace

auto

auto

auto

Garage

4.8%

garage

auto

auto

garage

auto

auto

auto

Heated Basement

11%

basement - conditioned

auto

auto

basement - conditioned

auto

auto

auto

Living Space

20%

conditioned space

auto

auto

conditioned space

auto

auto

auto

None

24%

conditioned space

auto

auto

conditioned space

auto

auto

0

Unheated Basement

9%

basement - unconditioned

auto

auto

basement - unconditioned

auto

auto

auto

Eaves

Description

Depth of roof eaves.

Created by

manually created

Source

  • Wilson et al. ‘Building America House Simulation Protocols’ 2014

Arguments

Name

Required

Units

Type

Choices

Description

geometry_eaves_depth

true

ft

Double

The eaves depth of the roof.

Options

From project_national the list of options, option stock saturation, and option arguments for the Eaves characteristic.

Option name

Stock saturation

geometry_eaves_depth

2 ft

100%

2

Electric Vehicle Battery

Description

The type of electric vehicle and battery range in miles.

Created by

sources/tempo/tsv_maker.py

Source

  • the 2023 Vehicle Stock Projection Data from NREL’s TEMPO model.

  • EV Registration Data from Experian 2023.

Assumption

  • Vehicle stock data starts with the Experian registration data and then is projected by TEMPO to 2023.

  • If the household does not have an Electric Vehicle, the options represent the household preference.

Arguments

Name

Required

Units

Type

Choices

Description

vehicle_battery_usable_capacity

false

kWh

Double

auto

The usable capacity of the vehicle battery, only applies to electric vehicles. If not provided, the OS-HPXML default (see HPXML Vehicles) is used.

vehicle_fuel_economy_units

false

Choice

auto, kWh/mile, mile/kWh, mpge, mpg

The combined fuel economy units of the vehicle. Only ‘kWh/mile’, ‘mile/kWh’, or ‘mpge’ are allow for electric vehicles. If not provided, the OS-HPXML default (see HPXML Vehicles) is used.

vehicle_fuel_economy_combined

false

Double

auto

The combined fuel economy of the vehicle. If not provided, the OS-HPXML default (see HPXML Vehicles) is used.

ev_average_mph

false

miles/hour

Double

The average miles/hour driven by the vehicle.

ev_efficiency_percent_increase

false

Frac

Double

The increase (fraction) in efficiency of the electric vehicle.

Options

From project_national the list of options, option stock saturation, and option arguments for the Electric Vehicle Battery characteristic.

Option name

Stock saturation

vehicle_battery_usable_capacity

vehicle_fuel_economy_units

vehicle_fuel_economy_combined

ev_average_mph

ev_efficiency_percent_increase

Compact, Battery Electric Vehicle, 200 mile range

12%

40.168

kWh/mile

0.209901

22

0.0

Compact, Battery Electric Vehicle, 300 mile range

34%

63.433

kWh/mile

0.220020

22

0.0

Midsize, Battery Electric Vehicle, 200 mile range

3%

41.978

kWh/mile

0.219174

22

0.0

Midsize, Battery Electric Vehicle, 300 mile range

7.6%

65.441

kWh/mile

0.229449

22

0.0

Pickup, Battery Electric Vehicle, 200 mile range

0.0055%

67.738

kWh/mile

0.357648

22

0.0

Pickup, Battery Electric Vehicle, 300 mile range

0.77%

105.946

kWh/mile

0.373794

22

0.0

SUV, Battery Electric Vehicle, 200 mile range

12%

53.503

kWh/mile

0.267513

22

0.0

SUV, Battery Electric Vehicle, 300 mile range

31%

83.680

kWh/mile

0.278934

22

0.0

Electric Vehicle Charge At Home

Description

The percentage a household would or do charge their electric vehicle at home.

Created by

sources/recs/recs2020/tsv_maker.py

Source

  • U.S. EIA 2020 Residential Energy Consumption Survey (RECS) microdata.

Assumption

  • Due to low sample count, the tsv is constructed by downscaling a dwelling unit sub-tsv with a household sub-tsv. The two sub-tsvs have the following dependencies: tsv1 dependency=[‘Geometry Building Type RECS’], tsv2 dependency=[‘Federal Poverty Level’], In combining tsv1 and tsv2, the conditional relationships are ignored across (‘Geometry Building Type RECS’ and ‘Federal Poverty Level’).

Arguments

Name

Required

Units

Type

Choices

Description

vehicle_fraction_charged_home

false

Double

auto

The fraction of charging energy provided by the at-home charger to the vehicle, only applies to electric vehicles. If not provided, the OS-HPXML default (see HPXML Vehicles) is used.

Options

From project_national the list of options, option stock saturation, and option arguments for the Electric Vehicle Charge At Home characteristic.

Option name

Stock saturation

vehicle_fraction_charged_home

0-19%

13%

0.10

20-39%

1.4%

0.30

40-59%

1.9%

0.50

60-79%

7.3%

0.70

80-99%

34%

0.90

100%

42%

1.00

Electric Vehicle Charger

Description

Type of electric vehicle charger used at the dwelling unit

Created by

sources/recs/recs2020/tsv_maker.py

Source

  • U.S. EIA 2020 Residential Energy Consumption Survey (RECS) microdata.

Assumption

  • Dwelling units with an electric vehicle need to have at least a Level 1 charger.Due to low sample sizes, fallback rules applied with lumping of:

    • [1] Federal Poverty Level lumped every 100%

    • [2] Federal Poverty Level lumped every 200%

    • [3] Building type is consolidated into three bins 1) single-family detached and 2) multi-family with 5+ units, and 3) mobile homes, multi-family 2-4 units, and single-family attached

    • [4] Building type is consolidated into two bins 1) single-family detached and all other building types

    • [5] Federal Poverty Level is combined into 400%+ and <400% bins

Arguments

Name

Required

Units

Type

Choices

Description

ev_charger_present

false

Boolean

auto, true, false

Whether there is an electric vehicle charger present.

ev_charger_level

false

Choice

auto, 1, 2, 3

The charging level of the EV charger. If not provided, the OS-HPXML default (see HPXML Electric Vehicle Chargers) is used.

ev_charger_power

false

W

Double

auto

The rated power output of the EV charger. If not provided, the OS-HPXML default (see HPXML Electric Vehicle Chargers) is used.

Options

From project_national the list of options, option stock saturation, and option arguments for the Electric Vehicle Charger characteristic.

Option name

Stock saturation

ev_charger_present

ev_charger_level

ev_charger_power

Level 1 charger

0.86%

true

1

1600

Level 2 charger

0.59%

true

2

5690

None

99%

false

Void

0%

false

Electric Vehicle Miles Traveled

Description

The number of miles an electric vehicle is driven in a year if the unit owns an electric vehicle.; Because EVs drive less miles/year than ICE (https://www.sciencedirect.com/science/article/pii/S254243512300404X?via%3Dihub#abs0015), the max value is capped at 22,500 miles/yr and the distribution is shifted to reduce the mean.

Created by

manually created

Source

  • the 2022 U.S. Federal Highway Administration National Household Travel Survey (NHTS) microdata.

Arguments

Name

Required

Units

Type

Choices

Description

vehicle_miles_driven_per_year

false

miles

Double

auto

The annual miles the vehicle is driven. If not provided, the OS-HPXML default (see HPXML Vehicles) is used.

Options

From project_national the list of options, option stock saturation, and option arguments for the Electric Vehicle Miles Traveled characteristic.

Option name

Stock saturation

vehicle_miles_driven_per_year

1000

11%

1000

3000

11%

3000

5000

13%

5000

7000

13%

7000

9000

12%

9000

11000

11%

11000

13000

9.3%

13000

15000

7.5%

15000

17000

5.9%

17000

19000

4.6%

19000

22500

1.6%

22500

Electric Vehicle Outlet Access

Description

The unit has an outlet within 20 feet of vehicle parking.

Created by

sources/recs/recs2020/tsv_maker.py

Source

  • U.S. EIA 2020 Residential Energy Consumption Survey (RECS) microdata.

Assumption

  • RECS 2020 has Multi-Family 5+ units marked as Not Applicable. These units are replaced by data from the No Place Like Home Study (https://www.nrel.gov/docs/fy22osti/81065.pdf) Table 1 Scenario 2. Multi-Family 5+ units owners is assumed for 12% units having electrical access. This fraction is based on the average of mid-capacity apt and high-capacity apt. Multi-Family 5+ units owners is assumed for 28% units having electrical access.

  • Units reported to have an L1 or L2 charger in the field EVCHRGTYPE are assumed to have outlet access.

  • L1 chargers without outlet access are units with EVs, but report no outlet access within 20 ft of vehicle parking.

  • Due to low sample count, the tsv is constructed by downscaling a dwelling unit sub-tsv with a household sub-tsv. The sub-tsvs have the following dependencies:

  • Dwelling unit sub-tsv : deps=[‘Geometry Building Type RECS’, ‘Vintage ACS’, ‘Electric Vehicle Charger’] with the following fallback coarsening order

    • [1] Vintage ACS to the National distribution

    • [2] Combining Geometry Building Type RECS together into SFD+MF+SFA and MF 2-4+MF 5+ bins

  • Household sub-tsv : deps=[‘Geometry Building Type RECS’, ‘State’ ‘Tenure’, ‘Federal Poverty Level’] In combining the dwelling unit sub-tsv and household sub-tsv, the conditional relationships are ignored across ([‘Vintage ACS’, ‘Electric Vehicle Charger’], [‘Tenure’, ‘Federal Poverty Level’]).

Options

From project_national the list of options, option stock saturation, and option arguments for the Electric Vehicle Outlet Access characteristic.

Option name

Stock saturation

No

44%

Yes

56%

Void

0%

Electric Vehicle Ownership

Description

The dwelling unit owns an electric vehicle.

Created by

sources/experian/tsv_maker.py

Source

  • EV Registration Data from Experian 2023.

  • 2019-5yrs Public Use Microdata Samples (PUMS). IPUMS USA, University of Minnesota, www.ipums.org.

  • U.S. EIA 2020 Residential Energy Consumption Survey (RECS) microdata.

Assumption

  • Due to low sample sizes, fallback rules applied with lumping of:

    • [1] Federal Poverty Level lumped every 100%

    • [2] Federal Poverty Level lumped every 200%

    • [3] Building type is consolidated into three bins 1) single-family, 2) multi-family, and 3) mobile home bins

    • [4] Building type is consolidated into two bins 1) single-family and 2) multi-family and mobile home bins

  • PUMA level battery electric vehicle saturation is calculated using a weighted average of the County level Experian data and ResStock unit counts for each County and PUMA.

  • The RECS 2020 saturations for each segment in a given PUMA are scaled to match the Experian PUMA weighted averaged battery electric vehicle saturation using the segment unit counts from PUMS 2019-5yrs survey.

Arguments

Name

Required

Units

Type

Choices

Description

vehicle_type

false

String

The type of vehicle present at the home.

Options

From project_national the list of options, option stock saturation, and option arguments for the Electric Vehicle Ownership characteristic.

Option name

Stock saturation

vehicle_type

No

99%

Yes

1.4%

BatteryElectricVehicle

Void

0%

Energystar Climate Zone 2023

Description

Climate zones for windows, doors, and skylights per EnergyStar guidelines as of 2023.

Created by

sources/spatial/tsv_maker.py

Source

Assumption

  • EnergyStar Climate Zones assigned based on CEC Climate Zone for CA and based on County everywhere else.

Options

From project_national the list of options, option stock saturation, and option arguments for the Energystar Climate Zone 2023 characteristic.

Option name

Stock saturation

North-Central

25%

Northern

37%

South-Central

23%

Southern

15%

Void

0%

Federal Poverty Level

Description

Federal poverty level of the household occupying the dwelling unit.

Created by

sources/pums/pums2019_5yrs/tsv_maker.py

Source

  • 2019-5yrs Public Use Microdata Samples (PUMS). IPUMS USA, University of Minnesota, www.ipums.org.

Assumption

  • % Federal Poverty Level is calculated using annual household income in 2019USD (continuous, not binned) from 2019-5yrs PUMS data and 2019 Federal Poverty Lines for contiguous US, where the FPL threshold for 1-occupant household is $12490 and $4420 for every additional person in the household.

Options

From project_national the list of options, option stock saturation, and option arguments for the Federal Poverty Level characteristic.

Option name

Stock saturation

0-100%

10%

100-150%

7.5%

150-200%

7.2%

200-300%

14%

300-400%

12%

400%+

37%

Not Available

12%

Generation And Emissions Assessment Region

Description

The generation and carbon emissions assessment region that the sample is located in.

Created by

sources/spatial/tsv_maker.py

Source

  • Gagnon, Pieter, Sanchez Perez, Pedro Andres, Obika, Kodi, et al., Cambium 2023 Scenario Descriptions and Documentation, (2024), https://doi.org/10.2172/2316014f

Options

From project_national the list of options, option stock saturation, and option arguments for the Generation And Emissions Assessment Region characteristic.

Option name

Stock saturation

CAISO

10%

ERCOT

6.8%

FRCC

6.5%

ISONE

4.8%

MISO Central

7.6%

MISO North

5%

MISO South

3.3%

None

0.63%

Northern Grid East

0.95%

Northern Grid South

1.7%

Northern Grid West

3.5%

NYISO

6.1%

PJM East

17%

PJM West

3%

SERTP

13%

SPP North

0.94%

SPP South

3.8%

West Connect North

1.9%

West Connect South

3%

Geometry Attic Type

Description

The dwelling unit attic type.

Created by

sources/recs/recs2020/tsv_maker.py

Source

  • U.S. EIA 2020 Residential Energy Consumption Survey (RECS) microdata.

Assumption

  • Multi-Family building types and Mobile Homes have Flat Roof (None) only.

  • 1-story Single-Family building types cannot have Finished Attic/Cathedral Ceiling because that attic type is modeled as a new story and 1-story does not a second story. 4+story Single-Family and mobile homes are an impossible combination.

Arguments

Name

Required

Units

Type

Choices

Description

geometry_attic_type

true

Choice

FlatRoof, VentedAttic, UnventedAttic, ConditionedAttic, BelowApartment

The attic type of the building. Attic type ConditionedAttic is not allowed for apartment units.

geometry_roof_type

true

Choice

gable, hip

The roof type of the building. Ignored if the building has a flat roof.

geometry_roof_pitch

true

Choice

1:12, 2:12, 3:12, 4:12, 5:12, 6:12, 7:12, 8:12, 9:12, 10:12, 11:12, 12:12

The roof pitch of the attic. Ignored if the building has a flat roof.

Options

From project_national the list of options, option stock saturation, and option arguments for the Geometry Attic Type characteristic.

Option name

Stock saturation

geometry_attic_type

geometry_roof_type

geometry_roof_pitch

Finished Attic or Cathedral Ceilings

1.4%

ConditionedAttic

gable

6:12

None

56%

FlatRoof

gable

6:12

Unvented Attic

3.3%

UnventedAttic

gable

6:12

Vented Attic

40%

VentedAttic

gable

6:12

Geometry Building Horizontal Location MF

Description

Location of the single-family attached unit horizontally within the building (left, middle, right).

Created by

sources/recs/recs2009/tsv_maker.py

Source

  • Calculated directly from other distributions

Assumption

  • All values are calculated assuming the building has double-loaded corridors (with some exceptions like 3 units in single-story building).

Arguments

Name

Required

Units

Type

Choices

Description

geometry_unit_horizontal_location

false

Choice

None, Left, Middle, Right

The horizontal location of the unit when viewing the front of the building. This is required for single-family attached and apartment units.

Options

From project_national the list of options, option stock saturation, and option arguments for the Geometry Building Horizontal Location MF characteristic.

Option name

Stock saturation

geometry_unit_horizontal_location

Left

7.1%

Left

Middle

8%

Middle

None

74%

Not Applicable

4.2%

None

Right

7.1%

Right

Geometry Building Horizontal Location SFA

Description

Location of the single-family attached unit horizontally within the building (left, middle, right).

Created by

manually created

Source

  • Calculated directly from other distributions

Arguments

Name

Required

Units

Type

Choices

Description

geometry_unit_horizontal_location

false

Choice

None, Left, Middle, Right

The horizontal location of the unit when viewing the front of the building. This is required for single-family attached and apartment units.

Options

From project_national the list of options, option stock saturation, and option arguments for the Geometry Building Horizontal Location SFA characteristic.

Option name

Stock saturation

geometry_unit_horizontal_location

Left

0.63%

Left

Middle

4.6%

Middle

Right

0.63%

Right

None

94%

Geometry Building Level MF

Description

Location of the multi-family unit vertically within the building (bottom, middle, top).

Created by

sources/recs/recs2009/tsv_maker.py

Source

  • Calculated directly from other distributions

Assumption

  • Calculated using the number of stories, where buildings >=2 stories have Top and Bottom probabilities = 1/Geometry Stories, and Middle probabilities = 1 - 2/Geometry stories

Arguments

Name

Required

Units

Type

Choices

Description

geometry_unit_level

false

Choice

Bottom, Middle, Top

The level of the unit. This is required for apartment units.

Options

From project_national the list of options, option stock saturation, and option arguments for the Geometry Building Level MF characteristic.

Option name

Stock saturation

geometry_unit_level

Bottom

11%

Bottom

Middle

6.1%

Middle

None

74%

Top

8.9%

Top

Geometry Building Number Units MF

Description

The number of dwelling units in the multi-family building.

Created by

sources/recs/recs2009/tsv_maker.py

Source

  • U.S. EIA 2009 Residential Energy Consumption Survey (RECS) microdata.

Assumption

  • Uses NUMAPTS field in RECS

  • RECS does not report NUMAPTS for Multifamily 2-4 units, so assumptions are made based on the number of stories

  • Data was sampled from the following bins of Geometry Stories: 1, 2, 3, 4-7, 8+

Arguments

Name

Required

Units

Type

Choices

Description

geometry_building_num_units

false

#

Integer

The number of units in the building. Required for single-family attached and apartment units.

Options

From project_national the list of options, option stock saturation, and option arguments for the Geometry Building Number Units MF characteristic.

Option name

Stock saturation

geometry_building_num_units

2

3.6%

2

3

1.4%

3

4

3%

4

5

0.54%

5

6

1.5%

6

7

0.26%

7

8

2.3%

8

9

0.15%

9

10

0.95%

10

11

0.098%

11

12

1.9%

12

13

0.15%

13

14

0.18%

14

15

0.27%

15

16

0.61%

16

17

0.023%

17

18

0.22%

18

19

0.016%

19

20

0.75%

20

24

0.96%

24

30

0.81%

30

36

0.48%

36

43

0.67%

43

67

2.7%

67

116

1.2%

116

183

0.62%

183

326

1%

326

None

74%

Geometry Building Number Units SFA

Description

Number of units in the single-family attached building.

Created by

manually created

Source

  • U.S. EIA 2009 Residential Energy Consumption Survey (RECS) microdata.

Arguments

Name

Required

Units

Type

Choices

Description

geometry_building_num_units

false

#

Integer

The number of units in the building. Required for single-family attached and apartment units.

Options

From project_national the list of options, option stock saturation, and option arguments for the Geometry Building Number Units SFA characteristic.

Option name

Stock saturation

geometry_building_num_units

None

94%

2

0%

2

3

0%

3

4

0%

4

5

0.72%

5

6

0.78%

6

7

0.36%

7

8

1.1%

8

9

0%

9

10

0.38%

10

12

0.57%

12

15

0.14%

15

16

0.33%

16

20

0.27%

20

24

0.27%

24

30

0.27%

30

36

0.27%

36

50

0.13%

50

60

0.1%

60

90

0.086%

90

144

0.11%

144

Geometry Building Type ACS

Description

The building type classification according to the U.S. Census American Community Survey.

Created by

sources/pums/pums2019_5yrs/tsv_maker.py

Source

  • 2019-5yrs Public Use Microdata Samples (PUMS). IPUMS USA, University of Minnesota, www.ipums.org.

Options

From project_national the list of options, option stock saturation, and option arguments for the Geometry Building Type ACS characteristic.

Option name

Stock saturation

2 Unit

3.6%

3 or 4 Unit

4.4%

5 to 9 Unit

4.7%

10 to 19 Unit

4.5%

20 to 49 Unit

3.7%

50 or more Unit

5.6%

Mobile Home

6.2%

Single-Family Attached

5.9%

Single-Family Detached

61%

Geometry Building Type Height

Description

The 2009 U.S. Energy Information Administration Residential Energy Consumption Survey building type with multi-family buildings split out by low-rise, mid-rise, and high-rise.

Created by

sources/recs/recs2009/tsv_maker.py

Source

  • Calculated directly from other distributions

Options

From project_national the list of options, option stock saturation, and option arguments for the Geometry Building Type Height characteristic.

Option name

Stock saturation

Mobile Home

6.2%

Multi-Family with 2 - 4 Units

8%

Multi-Family with 5+ Units, 1-3 Stories

13%

Multi-Family with 5+ Units, 4-7 Stories

3.4%

Multi-Family with 5+ Units, 8+ Stories

2.1%

Single-Family Attached

5.9%

Single-Family Detached

61%

Geometry Building Type RECS

Description

The building type classification according to the U.S. Energy Information Administration Residential Energy Consumption Survey.

Created by

sources/pums/pums2019_5yrs/tsv_maker.py

Source

  • 2019-5yrs Public Use Microdata Samples (PUMS). IPUMS USA, University of Minnesota, www.ipums.org.

Arguments

Name

Required

Units

Type

Choices

Description

geometry_unit_type

true

Choice

single-family detached, single-family attached, apartment unit, manufactured home

The type of dwelling unit. Use single-family attached for a dwelling unit with 1 or more stories, attached units to one or both sides, and no units above/below. Use apartment unit for a dwelling unit with 1 story, attached units to one, two, or three sides, and units above and/or below.

geometry_unit_aspect_ratio

true

Frac

Double

The ratio of front/back wall length to left/right wall length for the unit, excluding any protruding garage wall area.

geometry_average_ceiling_height

true

ft

Double

Average distance from the floor to the ceiling.

Options

From project_national the list of options, option stock saturation, and option arguments for the Geometry Building Type RECS characteristic.

Option name

Stock saturation

geometry_unit_type

geometry_unit_aspect_ratio

geometry_average_ceiling_height

Mobile Home

6.2%

manufactured home

1.8

8

Multi-Family with 2 - 4 Units

8%

apartment unit

0.5556

8

Multi-Family with 5+ Units

18%

apartment unit

0.5556

8

Single-Family Attached

5.9%

single-family attached

0.5556

8

Single-Family Detached

61%

single-family detached

1.8

8

Geometry Floor Area

Description

The finished floor area of the dwelling unit using bins from 2017-2019 AHS.

Created by

sources/ahs/ahs2017_2019/tsv_maker.py

Source

  • 2017 and 2019 American Housing Survey (AHS) microdata.

Assumption

  • Due to low sample count, the tsv is constructed by downscaling a core sub-tsv with 3 sub-tsvs of different dependencies. The sub-tsvs have the following dependencies: tsv1 : ‘Census Division’, ‘PUMA Metro Status’, ‘Geometry Building Type RECS’, ‘Income RECS2020’

  • tsv2 : ‘Census Division’, ‘PUMA Metro Status’, ‘Geometry Building Type RECS’, ‘Tenure’

  • tsv3 : ‘Census Division’, ‘PUMA Metro Status’, ‘Geometry Building Type RECS’, ‘Vintage ACS’

  • tsv4 : ‘Census Division’, ‘PUMA Metro Status’, ‘Income RECS2020’, ‘Tenure’. For each sub-tsv, rows with <10 samples are replaced with coarsening dependency Census Region, followed by National.

Arguments

Name

Required

Units

Type

Choices

Description

geometry_unit_cfa

true

ft^2

Double

auto

The total floor area of the unit’s conditioned space (including any conditioned basement floor area). E.g., ‘2000’ or ‘auto’.

geometry_garage_protrusion

true

Frac

Double

The fraction of the garage that is protruding from the conditioned space. Only applies to single-family detached units.

geometry_unit_cfa_bin

true

String

E.g., ‘2000-2499’.

Options

From project_national the list of options, option stock saturation, and option arguments for the Geometry Floor Area characteristic.

Option name

Stock saturation

geometry_unit_cfa

geometry_garage_protrusion

geometry_unit_cfa_bin

0-499

3.2%

auto

0.72

0-499

500-749

8.5%

auto

0.75

500-749

750-999

15%

auto

0.5

750-999

1000-1499

26%

auto

0.5

1000-1499

1500-1999

19%

auto

0.5

1500-1999

2000-2499

12%

auto

0.5

2000-2499

2500-2999

6.5%

auto

0.5

2500-2999

3000-3999

6.1%

auto

0.5

3000-3999

4000+

3%

auto

0.5

4000+

Geometry Floor Area Bin

Description

The finished floor area of the dwelling unit using bins from the U.S. Energy Information Administration Residential Energy Consumption Survey.

Created by

sources/recs/recs2020/tsv_maker.py

Source

  • U.S. EIA 2020 Residential Energy Consumption Survey (RECS) microdata.

  • Geometry Floor Area bins are from the UNITSIZE field of the 2017 American Housing Survey (AHS).

Options

From project_national the list of options, option stock saturation, and option arguments for the Geometry Floor Area Bin characteristic.

Option name

Stock saturation

0-1499

53%

1500-2499

32%

2500-3999

13%

4000+

3%

Geometry Foundation Type

Description

The type of foundation.

Created by

sources/recs/recs2009/tsv_maker.py

Source

  • The sample counts and sample weights are constructed using U.S. EIA 2009 Residential Energy Consumption Survey (RECS) microdata.

Assumption

  • All mobile homes have Ambient foundations.

  • Multi-family buildings cannot have Ambient and Heated Basements

  • Single-family attached buildings cannot have Ambient foundations

  • Foundation types are the same for each building type except mobile homes and the applicable options.

  • Because we need to assume a foundation type for ground-floor MF units, we use the lumped SFD+SFA distributions for MF2-4 and MF5+ building foundations. (RECS data for households in MF2-4 unit buildings are not useful since we do not know which floor the unitis on. RECS does not include foundation responses for households in MF5+ unit buildings.)

  • For Single-Family Detached, if no foundation type specified, then sample has Ambient foundation.

Arguments

Name

Required

Units

Type

Choices

Description

geometry_foundation_type

true

Choice

SlabOnGrade, VentedCrawlspace, UnventedCrawlspace, ConditionedCrawlspace, UnconditionedBasement, ConditionedBasement, Ambient, AboveApartment, BellyAndWingWithSkirt, BellyAndWingNoSkirt

The foundation type of the building. Foundation types ConditionedBasement and ConditionedCrawlspace are not allowed for apartment units.

geometry_foundation_height

true

ft

Double

The height of the foundation (e.g., 3ft for crawlspace, 8ft for basement). Only applies to basements/crawlspaces.

geometry_foundation_height_above_grade

true

ft

Double

The depth above grade of the foundation wall. Only applies to basements/crawlspaces.

geometry_rim_joist_height

false

in

Double

The height of the rim joists. Only applies to basements/crawlspaces.

Options

From project_national the list of options, option stock saturation, and option arguments for the Geometry Foundation Type characteristic.

Option name

Stock saturation

geometry_foundation_type

geometry_foundation_height

geometry_foundation_height_above_grade

geometry_rim_joist_height

Ambient

8.9%

Ambient

4

4

0

Heated Basement

12%

ConditionedBasement

8

1

9.25

Slab

39%

SlabOnGrade

0

0

0

Unheated Basement

15%

UnconditionedBasement

8

1

9.25

Unvented Crawlspace

1.9%

UnventedCrawlspace

4

1

9.25

Vented Crawlspace

22%

VentedCrawlspace

4

1

9.25

Geometry Garage

Description

The size of an attached garage.

Created by

sources/recs/recs2020/tsv_maker.py

Source

  • U.S. EIA 2020 Residential Energy Consumption Survey (RECS) microdata.

Assumption

  • Only Single-Family Detached homes are assigned a probability for attached garage.

  • No garage for ambient (i.e., pier & beam) foundation type.

  • Due to modeling constraints restricting that garage cannot be larger or deeper than livable space: Single-family detached units that are 0-1499 square feet can only have a maximum of a 1 car garage.

  • Single-family detached units that are 0-1499 square feet and 3+ stories cannot have a garage.

  • The geometry stories distributions are all the same except for 0-1499 square feet and 3 stories.

  • Single-family detached units that are 1500-2499 square feet can not have a 3 car garage.

  • Single-family detached units that are 2500-3999 square feet and a heated basement can not have a 3 car garage. Due to low sample sizes, 1. Crawl, basements, and slab are lumped.

  • 2. Story levels are lumped together.

  • 2. Census Division RECS is grouped into Census Region.

  • 2. Vintage ACS is progressively grouped into: pre-1960, 1960-1999, and 2000+.

Arguments

Name

Required

Units

Type

Choices

Description

geometry_garage_width

true

ft

Double

The width of the garage. Enter zero for no garage. Only applies to single-family detached units.

geometry_garage_depth

true

ft

Double

The depth of the garage. Only applies to single-family detached units.

geometry_garage_position

true

Choice

Right, Left

The position of the garage. Only applies to single-family detached units.

Options

From project_national the list of options, option stock saturation, and option arguments for the Geometry Garage characteristic.

Option name

Stock saturation

geometry_garage_width

geometry_garage_depth

geometry_garage_position

1 Car

10%

12

24

Right

2 Car

19%

24

24

Right

3 Car

2.6%

36

24

Right

None

68%

0

24

Right

Geometry Space Combination

Description

Valid combinations of building type, building level mf, attic, foundation, and garage

Created by

sources/recs/recs2020/tsv_maker.py

Source

  • U.S. EIA 2020 Residential Energy Consumption Survey (RECS) microdata.

Assumption

  • For building level mf, only multi-family (MF) can have top, middle, or bottom units,

  • For foundation, mobile home (MH) has ambient only, MF cannot have ambient or heated basement, single-family attached cannot have ambient.

  • For attic, MH and MF have no attic.

  • For (attached) garage, only single-family detached without ambient foundation type can have garage.

Options

From project_national the list of options, option stock saturation, and option arguments for the Geometry Space Combination characteristic.

Option name

Stock saturation

Mobile Home, Ambient, No Attic, No Garage

6.2%

Multi-Family with 2 - 4 Units Bottom Unit, Slab, No Attic, No Garage

1.8%

Multi-Family with 2 - 4 Units Bottom Unit, Unheated Basement, No Attic, No Garage

1.3%

Multi-Family with 2 - 4 Units Bottom Unit, Unvented Crawlspace, No Attic, No Garage

0.086%

Multi-Family with 2 - 4 Units Bottom Unit, Vented Crawlspace, No Attic, No Garage

1.3%

Multi-Family with 2 - 4 Units Middle Unit, Slab, No Attic, No Garage

0.16%

Multi-Family with 2 - 4 Units Middle Unit, Unheated Basement, No Attic, No Garage

0.17%

Multi-Family with 2 - 4 Units Middle Unit, Unvented Crawlspace, No Attic, No Garage

0.0049%

Multi-Family with 2 - 4 Units Middle Unit, Vented Crawlspace, No Attic, No Garage

0.15%

Multi-Family with 2 - 4 Units Top Unit, Slab, No Attic, No Garage

1.3%

Multi-Family with 2 - 4 Units Top Unit, Unheated Basement, No Attic, No Garage

0.82%

Multi-Family with 2 - 4 Units Top Unit, Unvented Crawlspace, No Attic, No Garage

0.068%

Multi-Family with 2 - 4 Units Top Unit, Vented Crawlspace, No Attic, No Garage

0.88%

Multi-Family with 5+ Units Bottom Unit, Slab, No Attic, No Garage

3.8%

Multi-Family with 5+ Units Bottom Unit, Unheated Basement, No Attic, No Garage

1.2%

Multi-Family with 5+ Units Bottom Unit, Unvented Crawlspace, No Attic, No Garage

0.21%

Multi-Family with 5+ Units Bottom Unit, Vented Crawlspace, No Attic, No Garage

1.8%

Multi-Family with 5+ Units Middle Unit, Slab, No Attic, No Garage

2.8%

Multi-Family with 5+ Units Middle Unit, Unheated Basement, No Attic, No Garage

1.2%

Multi-Family with 5+ Units Middle Unit, Unvented Crawlspace, No Attic, No Garage

0.13%

Multi-Family with 5+ Units Middle Unit, Vented Crawlspace, No Attic, No Garage

1.5%

Multi-Family with 5+ Units Top Unit, Slab, No Attic, No Garage

3.1%

Multi-Family with 5+ Units Top Unit, Unheated Basement, No Attic, No Garage

1%

Multi-Family with 5+ Units Top Unit, Unvented Crawlspace, No Attic, No Garage

0.18%

Multi-Family with 5+ Units Top Unit, Vented Crawlspace, No Attic, No Garage

1.5%

Single-Family Attached, Heated Basement, Finished Attic, No Garage

0.04%

Single-Family Attached, Heated Basement, No Attic, No Garage

0.63%

Single-Family Attached, Heated Basement, Unvented Attic, No Garage

0.046%

Single-Family Attached, Heated Basement, Vented Attic, No Garage

0.46%

Single-Family Attached, Slab, Finished Attic, No Garage

0.057%

Single-Family Attached, Slab, No Attic, No Garage

1.2%

Single-Family Attached, Slab, Unvented Attic, No Garage

0.11%

Single-Family Attached, Slab, Vented Attic, No Garage

0.94%

Single-Family Attached, Unheated Basement, Finished Attic, No Garage

0.049%

Single-Family Attached, Unheated Basement, No Attic, No Garage

0.51%

Single-Family Attached, Unheated Basement, Unvented Attic, No Garage

0.036%

Single-Family Attached, Unheated Basement, Vented Attic, No Garage

0.35%

Single-Family Attached, Unvented Crawlspace, Finished Attic, No Garage

0.0031%

Single-Family Attached, Unvented Crawlspace, No Attic, No Garage

0.074%

Single-Family Attached, Unvented Crawlspace, Unvented Attic, No Garage

0.0063%

Single-Family Attached, Unvented Crawlspace, Vented Attic, No Garage

0.063%

Single-Family Attached, Vented Crawlspace, Finished Attic, No Garage

0.04%

Single-Family Attached, Vented Crawlspace, No Attic, No Garage

0.69%

Single-Family Attached, Vented Crawlspace, Unvented Attic, No Garage

0.052%

Single-Family Attached, Vented Crawlspace, Vented Attic, No Garage

0.47%

Single-Family Detached, Ambient, Finished Attic, No Garage

0.053%

Single-Family Detached, Ambient, No Attic, No Garage

0.82%

Single-Family Detached, Ambient, Unvented Attic, No Garage

0.14%

Single-Family Detached, Ambient, Vented Attic, No Garage

1.6%

Single-Family Detached, Heated Basement, Finished Attic, 1 Car Garage

0.026%

Single-Family Detached, Heated Basement, Finished Attic, 2 Car Garage

0.071%

Single-Family Detached, Heated Basement, Finished Attic, 3 Car Garage

0.0057%

Single-Family Detached, Heated Basement, Finished Attic, No Garage

0.11%

Single-Family Detached, Heated Basement, No Attic, 1 Car Garage

0.75%

Single-Family Detached, Heated Basement, No Attic, 2 Car Garage

1.1%

Single-Family Detached, Heated Basement, No Attic, 3 Car Garage

0.051%

Single-Family Detached, Heated Basement, No Attic, No Garage

1.8%

Single-Family Detached, Heated Basement, Unvented Attic, 1 Car Garage

0.1%

Single-Family Detached, Heated Basement, Unvented Attic, 2 Car Garage

0.13%

Single-Family Detached, Heated Basement, Unvented Attic, 3 Car Garage

0.0059%

Single-Family Detached, Heated Basement, Unvented Attic, No Garage

0.26%

Single-Family Detached, Heated Basement, Vented Attic, 1 Car Garage

1.3%

Single-Family Detached, Heated Basement, Vented Attic, 2 Car Garage

2.1%

Single-Family Detached, Heated Basement, Vented Attic, 3 Car Garage

0.1%

Single-Family Detached, Heated Basement, Vented Attic, No Garage

3.3%

Single-Family Detached, Slab, Finished Attic, 1 Car Garage

0.052%

Single-Family Detached, Slab, Finished Attic, 2 Car Garage

0.23%

Single-Family Detached, Slab, Finished Attic, 3 Car Garage

0.059%

Single-Family Detached, Slab, Finished Attic, No Garage

0.12%

Single-Family Detached, Slab, No Attic, 1 Car Garage

1.5%

Single-Family Detached, Slab, No Attic, 2 Car Garage

3%

Single-Family Detached, Slab, No Attic, 3 Car Garage

0.5%

Single-Family Detached, Slab, No Attic, No Garage

2.6%

Single-Family Detached, Slab, Unvented Attic, 1 Car Garage

0.22%

Single-Family Detached, Slab, Unvented Attic, 2 Car Garage

0.51%

Single-Family Detached, Slab, Unvented Attic, 3 Car Garage

0.076%

Single-Family Detached, Slab, Unvented Attic, No Garage

0.41%

Single-Family Detached, Slab, Vented Attic, 1 Car Garage

2.7%

Single-Family Detached, Slab, Vented Attic, 2 Car Garage

6.3%

Single-Family Detached, Slab, Vented Attic, 3 Car Garage

1%

Single-Family Detached, Slab, Vented Attic, No Garage

4.8%

Single-Family Detached, Unheated Basement, Finished Attic, 1 Car Garage

0.026%

Single-Family Detached, Unheated Basement, Finished Attic, 2 Car Garage

0.045%

Single-Family Detached, Unheated Basement, Finished Attic, 3 Car Garage

0.0075%

Single-Family Detached, Unheated Basement, Finished Attic, No Garage

0.15%

Single-Family Detached, Unheated Basement, No Attic, 1 Car Garage

0.46%

Single-Family Detached, Unheated Basement, No Attic, 2 Car Garage

0.55%

Single-Family Detached, Unheated Basement, No Attic, 3 Car Garage

0.084%

Single-Family Detached, Unheated Basement, No Attic, No Garage

1.6%

Single-Family Detached, Unheated Basement, Unvented Attic, 1 Car Garage

0.074%

Single-Family Detached, Unheated Basement, Unvented Attic, 2 Car Garage

0.069%

Single-Family Detached, Unheated Basement, Unvented Attic, 3 Car Garage

0.009%

Single-Family Detached, Unheated Basement, Unvented Attic, No Garage

0.3%

Single-Family Detached, Unheated Basement, Vented Attic, 1 Car Garage

0.86%

Single-Family Detached, Unheated Basement, Vented Attic, 2 Car Garage

1.1%

Single-Family Detached, Unheated Basement, Vented Attic, 3 Car Garage

0.16%

Single-Family Detached, Unheated Basement, Vented Attic, No Garage

3.2%

Single-Family Detached, Unvented Crawlspace, Finished Attic, 1 Car Garage

0.0013%

Single-Family Detached, Unvented Crawlspace, Finished Attic, 2 Car Garage

0.0098%

Single-Family Detached, Unvented Crawlspace, Finished Attic, 3 Car Garage

0.0026%

Single-Family Detached, Unvented Crawlspace, Finished Attic, No Garage

0.003%

Single-Family Detached, Unvented Crawlspace, No Attic, 1 Car Garage

0.043%

Single-Family Detached, Unvented Crawlspace, No Attic, 2 Car Garage

0.16%

Single-Family Detached, Unvented Crawlspace, No Attic, 3 Car Garage

0.034%

Single-Family Detached, Unvented Crawlspace, No Attic, No Garage

0.1%

Single-Family Detached, Unvented Crawlspace, Unvented Attic, 1 Car Garage

0.0057%

Single-Family Detached, Unvented Crawlspace, Unvented Attic, 2 Car Garage

0.022%

Single-Family Detached, Unvented Crawlspace, Unvented Attic, 3 Car Garage

0.0035%

Single-Family Detached, Unvented Crawlspace, Unvented Attic, No Garage

0.013%

Single-Family Detached, Unvented Crawlspace, Vented Attic, 1 Car Garage

0.08%

Single-Family Detached, Unvented Crawlspace, Vented Attic, 2 Car Garage

0.33%

Single-Family Detached, Unvented Crawlspace, Vented Attic, 3 Car Garage

0.062%

Single-Family Detached, Unvented Crawlspace, Vented Attic, No Garage

0.19%

Single-Family Detached, Vented Crawlspace, Finished Attic, 1 Car Garage

0.041%

Single-Family Detached, Vented Crawlspace, Finished Attic, 2 Car Garage

0.085%

Single-Family Detached, Vented Crawlspace, Finished Attic, 3 Car Garage

0.014%

Single-Family Detached, Vented Crawlspace, Finished Attic, No Garage

0.14%

Single-Family Detached, Vented Crawlspace, No Attic, 1 Car Garage

0.8%

Single-Family Detached, Vented Crawlspace, No Attic, 2 Car Garage

1.2%

Single-Family Detached, Vented Crawlspace, No Attic, 3 Car Garage

0.14%

Single-Family Detached, Vented Crawlspace, No Attic, No Garage

2.5%

Single-Family Detached, Vented Crawlspace, Unvented Attic, 1 Car Garage

0.11%

Single-Family Detached, Vented Crawlspace, Unvented Attic, 2 Car Garage

0.17%

Single-Family Detached, Vented Crawlspace, Unvented Attic, 3 Car Garage

0.019%

Single-Family Detached, Vented Crawlspace, Unvented Attic, No Garage

0.41%

Single-Family Detached, Vented Crawlspace, Vented Attic, 1 Car Garage

1.3%

Single-Family Detached, Vented Crawlspace, Vented Attic, 2 Car Garage

2.2%

Single-Family Detached, Vented Crawlspace, Vented Attic, 3 Car Garage

0.27%

Single-Family Detached, Vented Crawlspace, Vented Attic, No Garage

4.4%

Void

0%

Geometry Stories

Description

The number of building stories.

Created by

sources/recs/recs2009/tsv_maker.py

Source

  • U.S. EIA 2009 Residential Energy Consumption Survey (RECS) microdata.

Assumption

  • All mobile homes are 1 story.

  • Single-Family Detached and Single-Family Attached use the STORIES field in RECS, whereas Multifamily with 5+ units uses the NUMFLRS field.

  • Building types 2 Unit and 3 or 4 Unit use the stories distribution of Multifamily 5 to 9 Unit (capped at 4 stories) because RECS does not report stories or floors for multifamily with 2-4 units.

  • The dependency on floor area bins is removed for multifamily with 5+ units.

  • Vintage ACS rows for the 2010s are copied from the 2000-09 rows.

Arguments

Name

Required

Units

Type

Choices

Description

geometry_num_floors_above_grade

true

#

Integer

The number of floors above grade (in the unit if single-family detached or single-family attached, and in the building if apartment unit). Conditioned attics are included.

Options

From project_national the list of options, option stock saturation, and option arguments for the Geometry Stories characteristic.

Option name

Stock saturation

geometry_num_floors_above_grade

1

53%

1

2

33%

2

3

7.7%

3

4

2%

4

5

0.79%

5

6

0.7%

6

7

0.16%

7

8

0.16%

8

9

0.13%

9

10

0.17%

10

11

0.09%

11

12

0.19%

12

13

0.12%

13

14

0.11%

14

15

0.12%

15

20

0.21%

20

21

0.66%

21

35

0.11%

35

Geometry Stories Low Rise

Description

Number of building stories for low-rise buildings.

Created by

sources/recs/recs2009/tsv_maker.py

Source

  • Calculated directly from other distributions

Options

From project_national the list of options, option stock saturation, and option arguments for the Geometry Stories Low Rise characteristic.

Option name

Stock saturation

1

53%

2

33%

3

7.7%

4+

5.7%

Geometry Story Bin

Description

The building has more than 8 or less than 8 stories.

Created by

sources/recs/recs2009/tsv_maker.py

Source

  • U.S. EIA 2009 Residential Energy Consumption Survey (RECS) microdata.

Options

From project_national the list of options, option stock saturation, and option arguments for the Geometry Story Bin characteristic.

Option name

Stock saturation

<8

98%

8+

2.1%

Geometry Wall Exterior Finish

Description

Wall siding material and color.

Created by

sources/lightbox/residential/tsv_maker.py

Source

  • HIFLD Parcel data.

Assumption

  • Rows where sample size < 10 are replaced with aggregated values down-scaled from dep=’State’ to dep=’Census Division RECS’

  • Brick wall types are assumed to not have an additional brick exterior finish

  • Steel and wood frame walls must have an exterior finish

Arguments

Name

Required

Units

Type

Choices

Description

wall_siding_type

false

Choice

auto, aluminum siding, asbestos siding, brick veneer, composite shingle siding, fiber cement siding, masonite siding, none, stucco, synthetic stucco, vinyl siding, wood siding

The siding type of the walls. Also applies to rim joists. If not provided, the OS-HPXML default (see HPXML Walls) is used.

wall_color

false

Choice

auto, dark, light, medium, medium dark, reflective

The color of the walls. Also applies to rim joists. If not provided, the OS-HPXML default (see HPXML Walls) is used.

exterior_finish_r

true

h-ft^2-R/Btu

Double

R-value of the exterior finish.

Options

From project_national the list of options, option stock saturation, and option arguments for the Geometry Wall Exterior Finish characteristic.

Option name

Stock saturation

wall_siding_type

wall_color

exterior_finish_r

Aluminum, Light

2.5%

aluminum siding

light

0.6

Brick, Light

0.11%

brick veneer

light

0.7

Brick, Medium/Dark

19%

brick veneer

medium dark

0.7

Fiber-Cement, Light

0.24%

fiber cement siding

light

0.2

None

18%

none

medium

0

Shingle, Asbestos, Medium

0.71%

asbestos siding

medium

0.6

Shingle, Composition, Medium

1.2%

composite shingle siding

medium

0.6

Stucco, Light

12%

stucco

light

0.2

Stucco, Medium/Dark

0.037%

stucco

medium dark

0.2

Vinyl, Light

24%

vinyl siding

light

0.6

Wood, Medium/Dark

21%

wood siding

medium dark

1.4

Geometry Wall Type

Description

The wall material used for thermal mass calculations of exterior walls.

Created by

sources/lightbox/residential/tsv_maker.py

Source

  • HIFLD Parcel data.

Assumption

  • Rows where sample size < 10 are replaced with aggregated values down-scaled from dep=’State’ to dep=’Census Division RECS’

Options

From project_national the list of options, option stock saturation, and option arguments for the Geometry Wall Type characteristic.

Option name

Stock saturation

Brick

21%

Concrete

3.3%

Steel Frame

3.6%

Wood Frame

72%

Void

0%

Ground Thermal Conductivity

Description

The thermal conductivity (in Btu/hr-ft-F) of the ground using in foundation and geothermal heat pump heat transfer calculations.

Created by

sources/smu/tsv_maker.py

Source

Assumption

  • The data obtained is from surveyed oil and gas well data.

  • The latitude and longitudes were assigned to counties and the data was joined to the ResStock spatial lookup tables. In this process, 1482 of 59332 samples did not have a FIPS match or did not have data and were dropped.

  • Due to limited data in climate zone 1A, data was pulled from samples in 1A plus Florida 2A.

  • Samples less than 0.5 Btu/hr-ft-F are assigned a value of 0.5 Btu/hr-ft-F. Samples greater than 2.6 Btu/hr-ft-F are assigned a value of 2.6 Btu/hr-ft-F.

Arguments

Name

Required

Units

Type

Choices

Description

site_soil_and_moisture_type

false

Choice

auto, clay, dry, clay, mixed, clay, wet, gravel, dry, gravel, mixed, gravel, wet, loam, dry, loam, mixed, loam, wet, sand, dry, sand, mixed, sand, wet, silt, dry, silt, mixed, silt, wet, unknown, dry, unknown, mixed, unknown, wet

Type of soil and moisture. This is used to inform ground conductivity and diffusivity. If not provided, the OS-HPXML default (see HPXML Site) is used.

site_ground_conductivity

false

Btu/hr-ft-F

Double

Conductivity of the ground soil. If provided, overrides the previous site and moisture type input.

site_ground_diffusivity

false

ft^2/hr

Double

Diffusivity of the ground soil. If provided, overrides the previous site and moisture type input.

Options

From project_national the list of options, option stock saturation, and option arguments for the Ground Thermal Conductivity characteristic.

Option name

Stock saturation

site_soil_and_moisture_type

site_ground_conductivity

site_ground_diffusivity

0.5

0.59%

auto

0.5

auto

0.8

7%

auto

0.8

auto

1.1

46%

auto

1.1

auto

1.4

36%

auto

1.4

auto

1.7

7.8%

auto

1.7

auto

2.0

2.3%

auto

2.0

auto

2.3

0.23%

auto

2.3

auto

2.6

0.16%

auto

2.6

auto

HVAC Cooling Autosizing Factor

Description

The cooling airflow and capacity scaling factor applied to the auto-sizing methodology (not used in project_national).

Created by

manually created

Source

  • Engineering Judgment

Assumption

  • HVAC sizing follows ACCA Manual J and Manual S. There is no additional oversizing or undersizing the airflow and capacity of the HVAC system.

Arguments

Name

Required

Units

Type

Choices

Description

cooling_system_cooling_autosizing_factor

false

Double

The capacity scaling factor applied to the auto-sizing methodology. If not provided, 1.0 is used.

heat_pump_cooling_autosizing_factor

false

Double

The capacity scaling factor applied to the auto-sizing methodology. If not provided, 1.0 is used.

Options

From project_national the list of options, option stock saturation, and option arguments for the HVAC Cooling Autosizing Factor characteristic.

Option name

Stock saturation

cooling_system_cooling_autosizing_factor

heat_pump_cooling_autosizing_factor

None

100%

40% Oversized

0%

1.4

auto

HVAC Cooling Efficiency

Description

The presence and efficiency of primary cooling system in the dwelling unit.

Created by

sources/recs/recs2020/tsv_maker.py

Source

  • The sample counts and sample weights are constructed using U.S. EIA 2020 Residential Energy Consumption Survey (RECS) microdata.

  • Efficiency data based on CAC-ASHP-shipments-table.tsv, room_AC_efficiency_vs_age.tsv and expanded_HESC_HVAC_efficiencies.tsv combined with age of equipment data from RECS

Assumption

  • Check the assumptions on the source tsv files.

Arguments

Name

Required

Units

Type

Choices

Description

cooling_system_type

true

Choice

none, central air conditioner, room air conditioner, evaporative cooler, mini-split, packaged terminal air conditioner

The type of cooling system. Use ‘none’ if there is no cooling system or if there is a heat pump serving a cooling load.

cooling_system_compressor_type

false

Choice

auto, single stage, two stage, variable speed

The compressor type of the cooling system. Required for central air conditioner and mini-split.

cooling_system_cooling_efficiency_type

true

Choice

SEER, SEER2, EER, CEER

The efficiency type of the cooling system. System types central air conditioner and mini-split use SEER or SEER2. System types room air conditioner and packaged terminal air conditioner use EER or CEER. Ignored for system type evaporative cooler.

cooling_system_cooling_efficiency

true

Double

The rated efficiency value of the cooling system. Ignored for evaporative cooler.

cooling_system_cooling_capacity

false

Btu/hr

Double

The output cooling capacity of the cooling system. If not provided, the OS-HPXML autosized default (see Central Air Conditioner, Room Air Conditioner, Packaged Terminal Air Conditioner, Evaporative Cooler, Mini-Split Air Conditioner) is used.

cooling_system_cooling_autosizing_limit

false

Btu/hr

Double

The maximum capacity limit applied to the auto-sizing methodology. If not provided, no limit is used.

cooling_system_is_ducted

false

Boolean

auto, true, false

Whether the cooling system is ducted or not. Only used for mini-split and evaporative cooler. It’s assumed that central air conditioner is ducted, and room air conditioner and packaged terminal air conditioner are not ducted.

cooling_system_crankcase_heater_watts

false

W

Double

auto

Cooling system crankcase heater power consumption in Watts. Applies only to central air conditioner, room air conditioner, packaged terminal air conditioner and mini-split. If not provided, the OS-HPXML default (see Central Air Conditioner, Room Air Conditioner, Packaged Terminal Air Conditioner, Mini-Split Air Conditioner) is used.

cooling_system_integrated_heating_system_fuel

false

Choice

auto, electricity, natural gas, fuel oil, propane, wood, wood pellets, coal

The fuel type of the heating system integrated into cooling system. Only used for packaged terminal air conditioner and room air conditioner.

cooling_system_integrated_heating_system_efficiency_percent

false

Frac

Double

The rated heating efficiency value of the heating system integrated into cooling system. Only used for packaged terminal air conditioner and room air conditioner.

cooling_system_integrated_heating_system_capacity

false

Btu/hr

Double

The output heating capacity of the heating system integrated into cooling system. If not provided, the OS-HPXML autosized default (see Room Air Conditioner, Packaged Terminal Air Conditioner) is used. Only used for room air conditioner and packaged terminal air conditioner.

cooling_system_integrated_heating_system_fraction_heat_load_served

false

Frac

Double

The heating load served by the heating system integrated into cooling system. Only used for packaged terminal air conditioner and room air conditioner.

Options

From project_national the list of options, option stock saturation, and option arguments for the HVAC Cooling Efficiency characteristic.

Option name

Stock saturation

cooling_system_type

cooling_system_compressor_type

cooling_system_cooling_efficiency_type

cooling_system_cooling_efficiency

cooling_system_cooling_capacity

cooling_system_cooling_autosizing_limit

cooling_system_is_ducted

cooling_system_crankcase_heater_watts

cooling_system_integrated_heating_system_fuel

cooling_system_integrated_heating_system_efficiency_percent

cooling_system_integrated_heating_system_capacity

cooling_system_integrated_heating_system_fraction_heat_load_served

AC, SEER 8

0.9%

central air conditioner

single stage

SEER

8

auto

auto

false

auto

auto

auto

auto

auto

AC, SEER 10

6%

central air conditioner

single stage

SEER

10

auto

auto

false

auto

auto

auto

auto

auto

AC, SEER 13

29%

central air conditioner

single stage

SEER

13

auto

auto

false

auto

auto

auto

auto

auto

AC, SEER 15

13%

central air conditioner

single stage

SEER

15

auto

auto

false

auto

auto

auto

auto

auto

Ducted Heat Pump

15%

none

auto

SEER

0

auto

auto

false

auto

auto

auto

auto

auto

Non-Ducted Heat Pump

0.97%

none

auto

SEER

0

auto

auto

false

auto

auto

auto

auto

auto

None

11%

none

auto

SEER

0

auto

auto

false

auto

auto

auto

auto

auto

Room AC, EER 8.5

0.43%

room air conditioner

auto

EER

8.5

auto

auto

false

auto

auto

auto

auto

auto

Room AC, EER 9.8

2.6%

room air conditioner

auto

EER

9.8

auto

auto

false

auto

auto

auto

auto

auto

Room AC, EER 10.7

9.6%

room air conditioner

auto

EER

10.7

auto

auto

false

auto

auto

auto

auto

auto

Room AC, EER 12.0

7.4%

room air conditioner

auto

EER

12

auto

auto

false

auto

auto

auto

auto

auto

Shared Cooling

3.8%

HVAC Cooling Partial Space Conditioning

Description

The fraction of the finished floor area that the cooling system provides cooling.

Created by

sources/recs/recs2009/tsv_maker.py

Source

  • U.S. EIA 2009 Residential Energy Consumption Survey (RECS) microdata.Hawaii constructed using U.S. EIA 2020 Residential Energy Consumption Survey (RECS) microdata.

Assumption

  • Central AC systems need to serve at least 60 percent of the floor area.

  • Heat pumps serve 100 percent of the floor area because the system serves 100 percent of the heated floor area, except for in Hawaii

  • Due to low sample count, the tsv is constructed by downscaling a core sub-tsv with 3 sub-tsvs of different dependencies. The sub-tsvs have the following dependencies: tsv1 : ‘HVAC Cooling Type’, ‘ASHRAE IECC Climate Zone 2004’

  • tsv2 : ‘HVAC Cooling Type’, ‘Geometry Floor Area Bin’

  • tsv3 : ‘HVAC Cooling Type’, ‘Geometry Building Type RECS’

Arguments

Name

Required

Units

Type

Choices

Description

cooling_system_fraction_cool_load_served

true

Frac

Double

The cooling load served by the cooling system.

Options

From project_national the list of options, option stock saturation, and option arguments for the HVAC Cooling Partial Space Conditioning characteristic.

Option name

Stock saturation

cooling_system_fraction_cool_load_served

<10% Conditioned

0.47%

.1

20% Conditioned

6.4%

.2

40% Conditioned

5.9%

.4

60% Conditioned

6.6%

.6

80% Conditioned

3.6%

.8

100% Conditioned

67%

1

None

11%

0

Void

0%

HVAC Cooling Type

Description

The presence and type of primary cooling system in the dwelling unit.

Created by

sources/recs/recs2020/tsv_maker.py and sources/aris/tsv_maker.py

Source

  • U.S. EIA 2020 Residential Energy Consumption Survey (RECS) microdata.

  • Alaska specific distribution is based on Alaska Retrofit Information System (2008 to 2022) maintained by Alaska Housing Finance Corporation.

Assumption

  • Due to low sample sizes, fallback rules applied with lumping of

  • 1) HVAC Heating type: Non-ducted heating and None2) Geometry building SF: Mobile, Single family attached, Single family detached3) Geometry building MF: Multi-Family with 2 - 4 Units, Multi-Family with 5+ Units4) Vintage Lump: 20yrs binsHomes having ducted heat pump for heating and electricity fuel is assumed to haveducted heat pump for cooling (separating from central AC category)

  • Homes having non-ducted heat pump for heating is assumed to have non-ducted heat pumpfor cooling

  • For Hawaii, central air conditioning saturation is from RECS 2020 by heating type, ignoring allother dependencies

  • For Hawaii, Non-Ducted Heat Pump saturation is underestimated because ResStock does not currently allow cooling-only Non-Ducted Heat Pumps. These samples are modeled as Room ACs

  • For Alaska, we are using a field in ARIS that lumps multi-family 2-4 units and multi-family 5+ units buildings together. Data from the American Community Survey is used to distribute the between these two building types.

  • For Alaska, we are not modeling any central and room AC.

  • For Alaska, cooling systems are never shared.

Options

From project_national the list of options, option stock saturation, and option arguments for the HVAC Cooling Type characteristic.

Option name

Stock saturation

Central AC

53%

Ducted Heat Pump

15%

Evaporative or Swamp Cooler

0%

Non-Ducted Heat Pump

0.97%

None

11%

Room AC

20%

HVAC Has Ducts

Description

The presence of ducts in the dwelling unit.

Created by

sources/recs/recs2020/tsv_maker.py

Source

  • The sample counts and sample weights are constructed using U.S. EIA 2020 Residential Energy Consumption Survey (RECS) microdata.

Assumption

  • Ducted Heat Pump HVAC type assumed to have ducts

  • Non-Ducted Heat Pump HVAC type assumed to have no ducts

  • There are likely homes with non-ducted heat pump having ducts (Central AC with non-ducted HP) But due to structure of ResStock we are not accounting those homes

  • Evaporative or Swamp Cooler assigned Void option

  • None of the shared system options currently modeled (in HVAC Shared Efficiencies) are ducted, therefore where there are discrepancies between HVAC Heating Type, HVAC Cooling Type, and HVAC Has Shared System, HVAC Has Shared System takes precedence. (e.g., Central AC + Ducted Heating + Shared Heating and Cooling = No (Ducts)) (This is a temporary fix and will change when ducted shared system options are introduced.)

Arguments

Name

Required

Units

Type

Choices

Description

hvac_blower_fan_watts_per_cfm

false

W/CFM

Double

auto

The blower fan efficiency at maximum fan speed. Applies only to split (not packaged) systems (i.e., applies to ducted systems as well as ductless mini-split systems). If not provided, the OS-HPXML default (see HPXML Heating Systems, HPXML Cooling Systems, HPXML Heat Pumps) is used.

Options

From project_national the list of options, option stock saturation, and option arguments for the HVAC Has Ducts characteristic.

Option name

Stock saturation

hvac_blower_fan_watts_per_cfm

No

24%

auto

Yes

76%

auto

Void

0%

HVAC Has Shared System

Description

The presence of an HVAC system shared between multiple dwelling units.

Created by

sources/recs/recs2020/tsv_maker.py

Source

  • The sample counts and sample weights are constructed using U.S. EIA 2020 Residential Energy Consumption Survey (RECS) microdata.

Assumption

  • Due to low sample sizes, the fallback rules are applied in following order

    • [1] Vintage: Vintage ACS 20 year bin[2] HVAC Cooling Type: Lump 1) Central AC and Ducted Heat Pump and 2) Non-Ducted Heat Pump and None[3] HVAC Heating Type: Lump 1) Ducted Heating and Ducted Heat Pump and 2) Non-Ducted Heat Pump and None[4] HVAC Cooling Type: Lump 1) Central AC and Ducted Heat Pump and 2) Non-Ducted Heat Pump, Non-Ducted Heating, and None[5] HVAC Heating Type: Lump 1) Ducted Heating and Ducted Heat Pump and 2) Non-Ducted Heat Pump, None, and Room AC[6] Vintage: Vintage pre 1960s and post 2000[7] Vintage: All vintages

  • Evaporative or Swamp Cooler Cooling Type assigned Void option

  • Ducted Heat Pump assigned for both heating and cooling, other combinations assigned Void option

  • Non-Ducted Heat Pump assigned for both heating and cooling, other combinations assigned Void option

Options

From project_national the list of options, option stock saturation, and option arguments for the HVAC Has Shared System characteristic.

Option name

Stock saturation

Cooling Only

1.4%

Heating and Cooling

2.4%

Heating Only

7.2%

None

89%

Void

0%

HVAC Has Zonal Electric Heating

Description

Presence of electric baseboard heating

Created by

manually created

Source

  • n/a

Options

From project_national the list of options, option stock saturation, and option arguments for the HVAC Has Zonal Electric Heating characteristic.

Option name

Stock saturation

Yes

6.3%

No

94%

HVAC Heating Autosizing Factor

Description

The heating airflow and capacity scaling factor applied to the auto-sizing methodology (not used in project_national).

Created by

manually created

Source

  • Engineering Judgment

Assumption

  • HVAC sizing follows ACCA Manual J and Manual S. There is no additional oversizing or undersizing the airflow and capacity of the HVAC system.

Arguments

Name

Required

Units

Type

Choices

Description

heating_system_heating_autosizing_factor

false

Double

The capacity scaling factor applied to the auto-sizing methodology. If not provided, 1.0 is used.

heat_pump_heating_autosizing_factor

false

Double

The capacity scaling factor applied to the auto-sizing methodology. If not provided, 1.0 is used.

heat_pump_backup_heating_autosizing_factor

false

Double

The capacity scaling factor applied to the auto-sizing methodology if Backup Type is ‘integrated’. If not provided, 1.0 is used. If Backup Type is ‘separate’, use Heating System 2: Heating Autosizing Factor.

heating_system_2_heating_autosizing_factor

false

Double

The capacity scaling factor applied to the auto-sizing methodology. If not provided, 1.0 is used.

Options

From project_national the list of options, option stock saturation, and option arguments for the HVAC Heating Autosizing Factor characteristic.

Option name

Stock saturation

heating_system_heating_autosizing_factor

heat_pump_heating_autosizing_factor

heat_pump_backup_heating_autosizing_factor

heating_system_2_heating_autosizing_factor

None

100%

40% Oversized

0%

1.4

auto

auto

auto

HVAC Heating Efficiency

Description

The presence and efficiency of the primary heating system in the dwelling unit.

Created by

sources/recs/recs2020/tsv_maker.py and sources/aris/tsv_maker.py

Source

  • The sample counts and sample weights are constructed using U.S. EIA 2020 Residential Energy Consumption Survey (RECS) microdata.

  • Shipment data based on CAC-ASHP-shipments-table.tsv and furnace-shipments-table.tsv

  • Efficiency data based on expanded_HESC_HVAC_efficiencies.tsv combined with age of equipment data from RECS

  • Alaska specific distribution is based on Alaska Retrofit Information System (2008 to 2022) maintained by Alaska Housing Finance Corporation.

Assumption

  • Check the assumptions on the source tsv files.

  • If a house has a wall furnace with fuel other than natural_gas, efficiency level based on natural_gas from expanded_HESC_HVAC_efficiencies.tsv is assigned.

  • If a house has a heat pump with fuel other than electricity (presumed dual-fuel heat pump), the heating type is assumed to be furnace and not heat pump.

  • The shipment volume for boiler was not available, so shipment volume for furnace in furnace-shipments-table.tsv was used instead.

  • Due to low sample size for some categories, the HVAC Has Shared System categories ‘Cooling Only’ and ‘None’ are combined for the purpose of querying Heating Efficiency distributions.

  • For ‘other’ heating system types, we assign them to Electric Baseboard if fuel is Electric, and assign them to Wall/Floor Furnace if fuel is natural_gas, fuel_oil or propane.

  • For Other Fuel and Wood, the lowest efficiency systems are assumed.

  • For Alaska, we are using a field in ARIS that lumps multi-family 2-4 units and multi-family 5+ units buildings together. Data from the American Community Survey is used to distribute the between these two building types.

  • For Alaska, electric space heaters are modeled as electric baseboards.

  • For Alaska, Toyo/monitor direct-vent devices and other fuel space heaters are not modeled.

  • For Alaska, fireplace and stoves are not modeled.

  • For Alaska, all heat pumps (including geothermal) are assumed to be non-ducted air source heat pumps.

Arguments

Name

Required

Units

Type

Choices

Description

simulation_control_ground_to_air_heat_pump_model_type

false

Choice

auto, standard, experimental

Research feature to select the type of ground-to-air heat pump model. Use standard for standard ground-to-air heat pump modeling. Use experimental for an improved model that better accounts for coil staging. If not provided, the OS-HPXML default (see HPXML Simulation Control) is used.

heating_system_type

true

Choice

none, Furnace, WallFurnace, FloorFurnace, Boiler, ElectricResistance, Stove, SpaceHeater, Fireplace, Shared Boiler w/ Baseboard, Shared Boiler w/ Ductless Fan Coil

The type of heating system. Use ‘none’ if there is no heating system or if there is a heat pump serving a heating load.

heating_system_heating_efficiency

true

Frac

Double

The rated heating efficiency value of the heating system.

heating_system_heating_capacity

false

Btu/hr

Double

The output heating capacity of the heating system. If not provided, the OS-HPXML autosized default (see HPXML Heating Systems) is used.

heating_system_heating_autosizing_limit

false

Btu/hr

Double

The maximum capacity limit applied to the auto-sizing methodology. If not provided, no limit is used.

heating_system_fraction_heat_load_served

true

Frac

Double

The heating load served by the heating system.

heating_system_pilot_light

false

Btuh

Double

The fuel usage of the pilot light. Applies only to Furnace, WallFurnace, FloorFurnace, Stove, Boiler, and Fireplace with non-electric fuel type. If not provided, assumes no pilot light.

heat_pump_type

true

Choice

none, air-to-air, mini-split, ground-to-air, packaged terminal heat pump, room air conditioner with reverse cycle

The type of heat pump. Use ‘none’ if there is no heat pump.

heat_pump_compressor_type

false

Choice

auto, single stage, two stage, variable speed

The compressor type of the heat pump. Required for air-to-air, mini-split and ground-to-air.

heat_pump_heating_efficiency_type

true

Choice

HSPF, HSPF2, COP

The heating efficiency type of heat pump. System types air-to-air and mini-split use HSPF or HSPF2. System types ground-to-air, packaged terminal heat pump and room air conditioner with reverse cycle use COP.

heat_pump_heating_efficiency

true

Double

The rated heating efficiency value of the heat pump.

heat_pump_cooling_efficiency_type

true

Choice

SEER, SEER2, EER, CEER

The cooling efficiency type of heat pump. System types air-to-air and mini-split use SEER or SEER2. System types ground-to-air, packaged terminal heat pump and room air conditioner with reverse cycle use EER.

heat_pump_cooling_efficiency

true

Double

The rated cooling efficiency value of the heat pump.

heat_pump_heating_capacity

false

Btu/hr

Double

The output heating capacity of the heat pump. If not provided, the OS-HPXML autosized default (see Air-to-Air Heat Pump, Mini-Split Heat Pump, Packaged Terminal Heat Pump, Room Air Conditioner w/ Reverse Cycle, Ground-to-Air Heat Pump) is used.

heat_pump_heating_autosizing_limit

false

Btu/hr

Double

The maximum capacity limit applied to the auto-sizing methodology. If not provided, no limit is used.

heat_pump_heating_capacity_fraction_17_f

false

Frac

Double

auto

The output heating capacity of the heat pump at 17F divided by the above nominal heating capacity at 47F. Applies to all heat pump types except ground-to-air. If not provided, the OS-HPXML default (see Air-to-Air Heat Pump, Mini-Split Heat Pump, Packaged Terminal Heat Pump, Room Air Conditioner w/ Reverse Cycle) is used.

heat_pump_cooling_capacity

false

Btu/hr

Double

The output cooling capacity of the heat pump. If not provided, the OS-HPXML autosized default (see Air-to-Air Heat Pump, Mini-Split Heat Pump, Packaged Terminal Heat Pump, Room Air Conditioner w/ Reverse Cycle, Ground-to-Air Heat Pump) is used.

heat_pump_cooling_autosizing_limit

false

Btu/hr

Double

The maximum capacity limit applied to the auto-sizing methodology. If not provided, no limit is used.

heat_pump_fraction_heat_load_served

true

Frac

Double

The heating load served by the heat pump.

heat_pump_fraction_cool_load_served

true

Frac

Double

The cooling load served by the heat pump.

heat_pump_compressor_lockout_temp

false

F

Double

auto

The temperature below which the heat pump compressor is disabled. If both this and Backup Heating Lockout Temperature are provided and use the same value, it essentially defines a switchover temperature (for, e.g., a dual-fuel heat pump). Applies to all heat pump types other than ground-to-air. If not provided, the OS-HPXML default (see Air-to-Air Heat Pump, Mini-Split Heat Pump, Packaged Terminal Heat Pump, Room Air Conditioner w/ Reverse Cycle) is used.

heat_pump_backup_type

true

Choice

auto, none, integrated, separate

The backup type of the heat pump. If ‘integrated’, represents e.g. built-in electric strip heat or dual-fuel integrated furnace. If ‘separate’, represents e.g. electric baseboard or boiler based on the Heating System 2 specified below. Use ‘none’ if there is no backup heating. E.g., ‘integrated’ or ‘auto’. Use ‘auto’ when Backup Use Existing System is true.

heat_pump_backup_heating_autosizing_limit

false

Btu/hr

Double

The maximum capacity limit applied to the auto-sizing methodology if Backup Type is ‘integrated’. If not provided, no limit is used. If Backup Type is ‘separate’, use Heating System 2: Heating Autosizing Limit.

heat_pump_backup_fuel

true

Choice

auto, electricity, natural gas, fuel oil, propane

The backup fuel type of the heat pump. Only applies if Backup Type is ‘integrated’. E.g., ‘electricity’ or ‘auto’. Use ‘auto’ when Backup Use Existing System is true.

heat_pump_backup_heating_efficiency

true

Double

auto

The backup rated efficiency value of the heat pump. Percent for electricity fuel type. AFUE otherwise. Only applies if Backup Type is ‘integrated’. E.g., ‘1’ or ‘auto’. Use ‘auto’ when Backup Use Existing System is true.

heat_pump_backup_heating_capacity

false

Btu/hr

Double

The backup output heating capacity of the heat pump. If not provided, the OS-HPXML autosized default (see Backup) is used. Only applies if Backup Type is ‘integrated’.

heat_pump_backup_heating_lockout_temp

false

F

Double

auto

The temperature above which the heat pump backup system is disabled. If both this and Compressor Lockout Temperature are provided and use the same value, it essentially defines a switchover temperature (for, e.g., a dual-fuel heat pump). Applies for both Backup Type of ‘integrated’ and ‘separate’. If not provided, the OS-HPXML default (see Backup) is used.

heat_pump_sizing_methodology

false

Choice

auto, ACCA, HERS, MaxLoad

The auto-sizing methodology to use when the heat pump capacity is not provided. If not provided, the OS-HPXML default (see HPXML HVAC Sizing Control) is used.

heat_pump_backup_sizing_methodology

false

Choice

auto, emergency, supplemental

The auto-sizing methodology to use when the heat pump backup capacity is not provided. If not provided, the OS-HPXML default (see HPXML HVAC Sizing Control) is used.

heat_pump_is_ducted

false

Boolean

auto, true, false

Whether the heat pump is ducted or not. Only used for mini-split. It’s assumed that air-to-air and ground-to-air are ducted, and packaged terminal heat pump and room air conditioner with reverse cycle are not ducted. If not provided, assumes not ducted.

heat_pump_crankcase_heater_watts

false

W

Double

auto

Heat Pump crankcase heater power consumption in Watts. Applies only to air-to-air, mini-split, packaged terminal heat pump and room air conditioner with reverse cycle. If not provided, the OS-HPXML default (see Air-to-Air Heat Pump, Mini-Split Heat Pump, Packaged Terminal Heat Pump, Room Air Conditioner w/ Reverse Cycle) is used.

heat_pump_pan_heater_watts

false

W

Double

auto

Heat Pump pan heater power consumption in Watts. Applies only to air-to-air and mini-split. If not provided, the OS-HPXML default (see Air-to-Air Heat Pump, Mini-Split Heat Pump) is used.

heat_pump_pan_heater_control_type

false

Choice

auto, continuous, defrost mode

Heat pump pan heater control type. If ‘continuous’, operates continuously when outdoor temperature is below 32F. If ‘defrost mode’, operates only during defrost mode when outdoor temperature is below 32F. Applies only to air-to-air and mini-split. If not provided, the OS-HPXML default (see Air-to-Air Heat Pump, Mini-Split Heat Pump) is used.

geothermal_loop_configuration

false

Choice

auto, none, vertical

Configuration of the geothermal loop. Only applies to ground-to-air heat pump type. If not provided, the OS-HPXML default (see Ground-to-Air Heat Pump) is used.

geothermal_loop_borefield_configuration

false

Choice

auto, Rectangle, Open Rectangle, C, L, U, Lopsided U

Borefield configuration of the geothermal loop. Only applies to ground-to-air heat pump type. If not provided, the OS-HPXML default (see HPXML Geothermal Loops) is used.

geothermal_loop_loop_flow

false

gpm

Double

Water flow rate through the geothermal loop. Only applies to ground-to-air heat pump type. If not provided, the OS-HPXML autosized default (see HPXML Geothermal Loops) is used.

geothermal_loop_boreholes_count

false

#

Integer

Number of boreholes. Only applies to ground-to-air heat pump type. If not provided, the OS-HPXML autosized default (see HPXML Geothermal Loops) is used.

geothermal_loop_boreholes_length

false

ft

Double

Average length of each borehole (vertical). Only applies to ground-to-air heat pump type. If not provided, the OS-HPXML autosized default (see HPXML Geothermal Loops) is used.

geothermal_loop_boreholes_spacing

false

ft

Double

auto

Distance between bores. Only applies to ground-to-air heat pump type. If not provided, the OS-HPXML default (see HPXML Geothermal Loops) is used.

geothermal_loop_boreholes_diameter

false

in

Double

auto

Diameter of bores. Only applies to ground-to-air heat pump type. If not provided, the OS-HPXML default (see HPXML Geothermal Loops) is used.

geothermal_loop_grout_type

false

Choice

auto, standard, thermally enhanced

Grout type of the geothermal loop. Only applies to ground-to-air heat pump type. If not provided, the OS-HPXML default (see HPXML Geothermal Loops) is used.

geothermal_loop_pipe_type

false

Choice

auto, standard, thermally enhanced

Pipe type of the geothermal loop. Only applies to ground-to-air heat pump type. If not provided, the OS-HPXML default (see HPXML Geothermal Loops) is used.

geothermal_loop_pipe_diameter

false

in

Choice

auto, 3/4” pipe, 1” pipe, 1-1/4” pipe

Pipe diameter of the geothermal loop. Only applies to ground-to-air heat pump type. If not provided, the OS-HPXML default (see HPXML Geothermal Loops) is used.

heating_system_has_flue_or_chimney

true

String

Whether the heating system has a flue or chimney.

heat_pump_backup_use_existing_system

false

Boolean

true, false

Whether the heat pump uses the existing heating system as backup. If true and backup type of the heat pump is ‘integrated’, heat_pump_backup_xxx arguments are assigned values based on the existing heating system. If true and backup type of the heat pump is ‘separate’, heating_system_2_xxx arguments are assigned values based on the existing heating system. This argument is only applicable for heat pump upgrades.

heat_pump_sizing_is_duct_limited

false

Boolean

true, false

Whether the (ducted) heat pump has an upper limit for autosized heating/cooling capacity and an adjusted blower fan efficiency (W/CFM) value. This argument is only applicable for heat pump upgrades.

Options

From project_national the list of options, option stock saturation, and option arguments for the HVAC Heating Efficiency characteristic.

Option name

Stock saturation

simulation_control_ground_to_air_heat_pump_model_type

heating_system_type

heating_system_heating_efficiency

heating_system_heating_capacity

heating_system_heating_autosizing_limit

heating_system_fraction_heat_load_served

heating_system_pilot_light

heat_pump_type

heat_pump_compressor_type

heat_pump_heating_efficiency_type

heat_pump_heating_efficiency

heat_pump_cooling_efficiency_type

heat_pump_cooling_efficiency

heat_pump_heating_capacity

heat_pump_heating_autosizing_limit

heat_pump_heating_capacity_fraction_17_f

heat_pump_cooling_capacity

heat_pump_cooling_autosizing_limit

heat_pump_fraction_heat_load_served

heat_pump_fraction_cool_load_served

heat_pump_compressor_lockout_temp

heat_pump_backup_type

heat_pump_backup_heating_autosizing_limit

heat_pump_backup_fuel

heat_pump_backup_heating_efficiency

heat_pump_backup_heating_capacity

heat_pump_backup_heating_lockout_temp

heat_pump_sizing_methodology

heat_pump_backup_sizing_methodology

heat_pump_is_ducted

heat_pump_crankcase_heater_watts

heat_pump_pan_heater_watts

heat_pump_pan_heater_control_type

geothermal_loop_configuration

geothermal_loop_borefield_configuration

geothermal_loop_loop_flow

geothermal_loop_boreholes_count

geothermal_loop_boreholes_length

geothermal_loop_boreholes_spacing

geothermal_loop_boreholes_diameter

geothermal_loop_grout_type

geothermal_loop_pipe_type

geothermal_loop_pipe_diameter

heating_system_has_flue_or_chimney

heat_pump_backup_use_existing_system

heat_pump_sizing_is_duct_limited

ASHP, SEER 10, 6.2 HSPF

0.72%

none

0

auto

auto

1

air-to-air

single stage

HSPF

6.2

SEER

10

auto

auto

auto

auto

auto

1

1

auto

integrated

auto

electricity

1

auto

auto

ACCA

auto

true

auto

auto

auto

none

auto

auto

auto

auto

auto

auto

auto

auto

auto

auto

false

false

ASHP, SEER 13, 7.7 HSPF

7.4%

none

0

auto

auto

1

air-to-air

single stage

HSPF

7.7

SEER

13

auto

auto

auto

auto

auto

1

1

auto

integrated

auto

electricity

1

auto

auto

ACCA

auto

true

auto

auto

auto

none

auto

auto

auto

auto

auto

auto

auto

auto

auto

auto

false

false

ASHP, SEER 15, 8.5 HSPF

7.2%

none

0

auto

auto

1

air-to-air

single stage

HSPF

8.5

SEER

15

auto

auto

auto

auto

auto

1

1

auto

integrated

auto

electricity

1

auto

auto

ACCA

auto

true

auto

auto

auto

none

auto

auto

auto

auto

auto

auto

auto

auto

auto

auto

false

false

Electric Baseboard, 100% Efficiency

6.3%

ElectricResistance

1

auto

auto

1

none

HSPF

0

SEER

0

auto

auto

auto

auto

1

1

none

auto

electricity

1

auto

ACCA

auto

none

auto

auto

auto

auto

auto

auto

auto

auto

auto

auto

false

false

Electric Boiler, 100% AFUE

0.21%

Boiler

1

auto

auto

1

none

HSPF

0

SEER

0

auto

auto

auto

auto

1

1

none

auto

electricity

1

auto

ACCA

auto

none

auto

auto

auto

auto

auto

auto

auto

auto

auto

auto

false

false

Electric Furnace, 100% AFUE

11%

Furnace

1

auto

auto

1

none

HSPF

0

SEER

0

auto

auto

auto

auto

1

1

none

auto

electricity

1

auto

ACCA

auto

none

auto

auto

auto

auto

auto

auto

auto

auto

auto

auto

false

false

Electric Wall Furnace, 100% AFUE

1.1%

WallFurnace

1

auto

auto

1

none

HSPF

0

SEER

0

auto

auto

auto

auto

1

1

none

auto

electricity

1

auto

ACCA

auto

none

auto

auto

auto

auto

auto

auto

auto

auto

auto

auto

false

false

Fuel Boiler, 76% AFUE

0.89%

Boiler

0.76

auto

auto

1

auto

none

HSPF

0

SEER

0

auto

auto

auto

auto

1

1

none

auto

electricity

1

auto

ACCA

auto

none

auto

auto

auto

auto

auto

auto

auto

auto

auto

auto

false

false

Fuel Boiler, 80% AFUE

3.3%

Boiler

0.8

auto

auto

1

auto

none

HSPF

0

SEER

0

auto

auto

auto

auto

1

1

none

auto

electricity

1

auto

ACCA

auto

none

auto

auto

auto

auto

auto

auto

auto

auto

auto

auto

false

false

Fuel Boiler, 90% AFUE

0.49%

Boiler

0.9

auto

auto

1

auto

none

HSPF

0

SEER

0

auto

auto

auto

auto

1

1

none

auto

electricity

1

auto

ACCA

auto

none

auto

auto

auto

auto

auto

auto

auto

auto

auto

auto

false

false

Fuel Furnace, 60% AFUE

0.49%

Furnace

0.6

auto

auto

1

auto

none

HSPF

0

SEER

0

auto

auto

auto

auto

1

1

none

auto

electricity

1

auto

ACCA

auto

none

auto

auto

auto

auto

auto

auto

auto

auto

auto

auto

false

false

Fuel Furnace, 76% AFUE

2.8%

Furnace

0.76

auto

auto

1

auto

none

HSPF

0

SEER

0

auto

auto

auto

auto

1

1

none

auto

electricity

1

auto

ACCA

auto

none

auto

auto

auto

auto

auto

auto

auto

auto

auto

auto

false

false

Fuel Furnace, 80% AFUE

25%

Furnace

0.8

auto

auto

1

auto

none

HSPF

0

SEER

0

auto

auto

auto

auto

1

1

none

auto

electricity

1

auto

ACCA

auto

none

auto

auto

auto

auto

auto

auto

auto

auto

auto

auto

false

false

Fuel Furnace, 92.5% AFUE

15%

Furnace

0.925

auto

auto

1

auto

none

HSPF

0

SEER

0

auto

auto

auto

auto

1

1

none

auto

electricity

1

auto

ACCA

auto

none

auto

auto

auto

auto

auto

auto

auto

auto

auto

auto

false

false

Fuel Wall/Floor Furnace, 60% AFUE

3.2%

WallFurnace

0.6

auto

auto

1

auto

none

HSPF

0

SEER

0

auto

auto

auto

auto

1

1

none

auto

electricity

1

auto

ACCA

auto

none

auto

auto

auto

auto

auto

auto

auto

auto

auto

auto

false

false

Fuel Wall/Floor Furnace, 68% AFUE

2.8%

WallFurnace

0.68

auto

auto

1

auto

none

HSPF

0

SEER

0

auto

auto

auto

auto

1

1

none

auto

electricity

1

auto

ACCA

auto

none

auto

auto

auto

auto

auto

auto

auto

auto

auto

auto

false

false

MSHP, SEER 14.5, 8.2 HSPF

0.96%

none

0

auto

auto

1

mini-split

variable speed

HSPF

8.2

SEER

14.5

auto

auto

auto

auto

auto

1

1

auto

integrated

auto

electricity

1

auto

auto

ACCA

auto

false

auto

auto

auto

none

auto

auto

auto

auto

auto

auto

auto

auto

auto

auto

false

false

MSHP, SEER 29.3, 14 HSPF

0.015%

none

0

auto

auto

1

mini-split

variable speed

HSPF

14

SEER

29.3

auto

auto

auto

auto

auto

1

1

auto

integrated

auto

electricity

1

auto

auto

ACCA

auto

false

auto

auto

auto

none

auto

auto

auto

auto

auto

auto

auto

auto

auto

auto

false

false

None

1.1%

none

0

auto

auto

1

none

HSPF

6.2

SEER

10

auto

auto

auto

auto

1

1

none

auto

electricity

1

auto

ACCA

auto

none

auto

auto

auto

auto

auto

auto

auto

auto

auto

auto

false

false

Shared Heating

9.6%

Void

0%

HVAC Heating Type

Description

The presence and type of the primary heating system in the dwelling unit.

Created by

sources/recs/recs2020/tsv_maker.py and sources/aris/tsv_maker.py

Source

  • U.S. EIA 2020 Residential Energy Consumption Survey (RECS) microdata.

  • Alaska specific distribution is based on Alaska Retrofit Information System (2008 to 2022) maintained by Alaska Housing Finance Corporation.

Assumption

  • Due to low sample sizes, fallback rules applied with lumping of

  • 1) Heating fuel lump: Fuel oil, Propane, Wood and Other Fuel2) Geometry building SF: Mobile, Single family attached, Single family detached3) Geometry building MF: Multi-Family with 2 - 4 Units, Multi-Family with 5+ Units4) Vintage Lump: 20yrs bins

  • For Alaska, we are using a field in ARIS that lumps multi-family 2-4 units and multi-family 5+ units buildings together. Data from the American Community Survey is used to distribute the between these two building types.

Options

From project_national the list of options, option stock saturation, and option arguments for the HVAC Heating Type characteristic.

Option name

Stock saturation

Ducted Heat Pump

15%

Ducted Heating

59%

Non-Ducted Heat Pump

0.97%

Non-Ducted Heating

24%

None

1.1%

HVAC Heating Type And Fuel

Description

The presence, type, and fuel of primary heating system.

Created by

sources/recs/recs2020/tsv_maker.py

Source

  • Calculated directly from other distributions

Options

From project_national the list of options, option stock saturation, and option arguments for the HVAC Heating Type And Fuel characteristic.

Option name

Stock saturation

Electricity ASHP

15%

Electricity Baseboard

6.3%

Electricity Electric Boiler

0.21%

Electricity Electric Furnace

11%

Electricity Electric Wall Furnace

1.1%

Electricity MSHP

0.97%

Electricity Shared Heating

4.1%

Fuel Oil Fuel Boiler

1.2%

Fuel Oil Fuel Furnace

2.8%

Fuel Oil Fuel Wall/Floor Furnace

0.29%

Fuel Oil Shared Heating

0.51%

Natural Gas Fuel Boiler

2.5%

Natural Gas Fuel Furnace

37%

Natural Gas Fuel Wall/Floor Furnace

3.1%

Natural Gas Shared Heating

4.7%

None

1.1%

Other Fuel Fuel Boiler

0.46%

Other Fuel Fuel Furnace

0.24%

Other Fuel Fuel Wall/Floor Furnace

1.9%

Other Fuel Shared Heating

0.11%

Propane Fuel Boiler

0.4%

Propane Fuel Furnace

3.7%

Propane Fuel Wall/Floor Furnace

0.75%

Propane Shared Heating

0.16%

Void

0.00039%

HVAC Secondary Heating Efficiency

Description

The efficiency and type of the heating system.

Created by

sources/aris/tsv_maker.py

Source

  • Alaska specific distribution is based on Alaska Retrofit Information System (2008 to 2022) maintained by Alaska Housing Finance Corporation.

Assumption

  • For Alaska, we are using a field in ARIS that lumps multi-family 2-4 units and multi-family 5+ units buildings together. Data from the American Community Survey is used to distribute the between these two building types.

  • For Alaska, electricity cannot be a secondary heating fuel, therefore no secondary heating efficiency.

  • For Alaska, Toyo/monitor direct-vent devices and other fuel space heaters are not modeled.

  • For Alaska, fireplace and stoves are not modeled.

Arguments

Name

Required

Units

Type

Choices

Description

heating_system_2_type

true

Choice

none, Furnace, WallFurnace, FloorFurnace, Boiler, ElectricResistance, Stove, SpaceHeater, Fireplace

The type of the second heating system. If a heat pump is specified and the backup type is ‘separate’, this heating system represents ‘separate’ backup heating. For ducted heat pumps where the backup heating system is a ‘Furnace’, the backup would typically be characterized as ‘integrated’ in that the furnace and heat pump share the same distribution system and blower fan; a ‘Furnace’ as ‘separate’ backup to a ducted heat pump is not supported.

heating_system_2_heating_efficiency

true

Frac

Double

The rated heating efficiency value of the second heating system.

heating_system_2_heating_capacity

false

Btu/hr

Double

The output heating capacity of the second heating system. If not provided, the OS-HPXML autosized default (see HPXML Heating Systems) is used.

heating_system_2_heating_autosizing_limit

false

Btu/hr

Double

The maximum capacity limit applied to the auto-sizing methodology. If not provided, no limit is used.

heating_system_2_has_flue_or_chimney

true

String

Whether the second heating system has a flue or chimney.

Options

From project_national the list of options, option stock saturation, and option arguments for the HVAC Secondary Heating Efficiency characteristic.

Option name

Stock saturation

heating_system_2_type

heating_system_2_heating_efficiency

heating_system_2_heating_capacity

heating_system_2_heating_autosizing_limit

heating_system_2_has_flue_or_chimney

Fuel Boiler, 76% AFUE

0.019%

Boiler

0.76

auto

auto

auto

Fuel Boiler, 80% AFUE

0.015%

Boiler

0.8

auto

auto

auto

Fuel Boiler, 90% AFUE

0.0028%

Boiler

0.90

auto

auto

auto

Fuel Furnace, 60% AFUE

2.5e-05%

Furnace

0.6

auto

auto

auto

Fuel Furnace, 76% AFUE

0.00036%

Furnace

0.76

auto

auto

auto

Fuel Furnace, 80% AFUE

0.0011%

Furnace

0.8

auto

auto

auto

Fuel Furnace, 92.5% AFUE

0.00049%

Furnace

0.925

auto

auto

auto

None

1e+02%

none

0

auto

auto

auto

Shared Heating

0%

none

0

auto

auto

auto

Void

0%

HVAC Secondary Heating Fuel

Description

Secondary Heating Fuel for the dwelling unit

Created by

sources/aris/tsv_maker.py

Source

  • Alaska specific distribution is based on Alaska Retrofit Information System (2008 to 2022) maintained by Alaska Housing Finance Corporation.

Assumption

  • For Alaska, we are using a field in ARIS that lumps multi-family 2-4 units and multi-family 5+ units buildings together. Data from the American Community Survey is used to distribute the between these two building types.

  • For Alaska, all wood is modeled as cord wood.

  • For Alaska, when heating uses more than one fuels, the fuel with highest consumption is considered the primary (heating) fuel, and fuel with second highest usage (provided it is at least 10% of total energy use across all fuels) is considered secondary (heating) fuel - except in case of electric heating, which is always assumed as primary (i.e., secondary heating fuel cannot be electricity). Rest of the fuels are ignored.

  • A unit without a primary heating system (heating fuel is None) cannot have a secondary heating system (secondary heating fuel is None).

Arguments

Name

Required

Units

Type

Choices

Description

heating_system_2_fuel

true

Choice

electricity, natural gas, fuel oil, propane, wood, wood pellets, coal

The fuel type of the second heating system. Ignored for ElectricResistance.

Options

From project_national the list of options, option stock saturation, and option arguments for the HVAC Secondary Heating Fuel characteristic.

Option name

Stock saturation

heating_system_2_fuel

Electricity

0%

electricity

Fuel Oil

0.01%

fuel oil

Natural Gas

0.0039%

natural gas

None

1e+02%

electricity

Other Fuel

0.00017%

wood

Propane

0.0013%

propane

Wood

0.023%

wood

HVAC Secondary Heating Partial Space Conditioning

Description

The fraction of heating load served by secondary heating system

Created by

sources/aris/tsv_maker.py

Source

  • Alaska specific distribution is based on Alaska Retrofit Information System (2008 to 2022) maintained by Alaska Housing Finance Corporation.

Assumption

  • For Alaska, we are using a field in ARIS that lumps multi-family 2-4 units and multi-family 5+ units buildings together. Data from the American Community Survey is used to distribute the between these two building types.

  • For Alaska, the fraction of the load served by the secondary heating system is calculated as the ratio of annual energy used by secondary fuel and annual energy used by secondary and primary fuel.

Arguments

Name

Required

Units

Type

Choices

Description

heating_system_2_fraction_heat_load_served

true

Frac

Double

The heat load served fraction of the second heating system. Ignored if this heating system serves as a backup system for a heat pump.

Options

From project_national the list of options, option stock saturation, and option arguments for the HVAC Secondary Heating Partial Space Conditioning characteristic.

Option name

Stock saturation

heating_system_2_fraction_heat_load_served

0%

1e+02%

0

10%

0.0046%

0.1

20%

0.0082%

0.2

30%

0.014%

0.3

40%

0.0061%

0.4

49%

0.006%

0.49

Void

0%

HVAC Secondary Heating Type

Description

The efficiency and type of the heating system.

Created by

sources/aris/tsv_maker.py

Source

  • Alaska specific distribution is based on Alaska Retrofit Information System (2008 to 2022) maintained by Alaska Housing Finance Corporation.

Assumption

  • For Alaska, we are using a field in ARIS that lumps multi-family 2-4 units and multi-family 5+ units buildings together. Data from the American Community Survey is used to distribute the between these two building types.

  • Ducted heating or heat pump cannot have ducted secondary heating.

  • For Alaska, all heat pumps are assumed to be non-ducted mini-splits.

  • For Alaska, all heat pumps are assumed to be non-ducted mini-splits. For Alaska, electricity cannot be a secondary heating fuel, therefore no secondary heating type.

Options

From project_national the list of options, option stock saturation, and option arguments for the HVAC Secondary Heating Type characteristic.

Option name

Stock saturation

Ducted Heating

0.002%

Non-Ducted Heating

0.037%

None

1e+02%

HVAC Shared Efficiencies

Description

The presence and efficiency of the shared HVAC system.

Created by

sources/recs/recs2020/tsv_maker.py

Source

  • The sample counts and sample weights are constructed using U.S. EIA 2020 Residential Energy Consumption Survey (RECS) microdata.

Assumption

  • Assume that all Heating and Cooling shared systems are fan coils in each dwelling unit served by a central chiller and boiler.

  • Assume all Heating Only shared systems are hot water baseboards in each dwelling unit served by a central boiler.

  • Assume all Cooling Only shared systems are fan coils in each dwelling unit served by a central chiller.

Arguments

Name

Required

Units

Type

Choices

Description

heating_system_type

true

Choice

none, Furnace, WallFurnace, FloorFurnace, Boiler, ElectricResistance, Stove, SpaceHeater, Fireplace, Shared Boiler w/ Baseboard, Shared Boiler w/ Ductless Fan Coil

The type of heating system. Use ‘none’ if there is no heating system or if there is a heat pump serving a heating load.

heating_system_heating_efficiency

true

Frac

Double

The rated heating efficiency value of the heating system.

heating_system_heating_capacity

false

Btu/hr

Double

The output heating capacity of the heating system. If not provided, the OS-HPXML autosized default (see HPXML Heating Systems) is used.

heating_system_heating_autosizing_limit

false

Btu/hr

Double

The maximum capacity limit applied to the auto-sizing methodology. If not provided, no limit is used.

heating_system_fraction_heat_load_served

true

Frac

Double

The heating load served by the heating system.

cooling_system_type

true

Choice

none, central air conditioner, room air conditioner, evaporative cooler, mini-split, packaged terminal air conditioner

The type of cooling system. Use ‘none’ if there is no cooling system or if there is a heat pump serving a cooling load.

cooling_system_compressor_type

false

Choice

auto, single stage, two stage, variable speed

The compressor type of the cooling system. Required for central air conditioner and mini-split.

cooling_system_cooling_efficiency_type

true

Choice

SEER, SEER2, EER, CEER

The efficiency type of the cooling system. System types central air conditioner and mini-split use SEER or SEER2. System types room air conditioner and packaged terminal air conditioner use EER or CEER. Ignored for system type evaporative cooler.

cooling_system_cooling_efficiency

true

Double

The rated efficiency value of the cooling system. Ignored for evaporative cooler.

cooling_system_cooling_capacity

false

Btu/hr

Double

The output cooling capacity of the cooling system. If not provided, the OS-HPXML autosized default (see Central Air Conditioner, Room Air Conditioner, Packaged Terminal Air Conditioner, Evaporative Cooler, Mini-Split Air Conditioner) is used.

cooling_system_cooling_autosizing_limit

false

Btu/hr

Double

The maximum capacity limit applied to the auto-sizing methodology. If not provided, no limit is used.

cooling_system_is_ducted

false

Boolean

auto, true, false

Whether the cooling system is ducted or not. Only used for mini-split and evaporative cooler. It’s assumed that central air conditioner is ducted, and room air conditioner and packaged terminal air conditioner are not ducted.

heat_pump_type

true

Choice

none, air-to-air, mini-split, ground-to-air, packaged terminal heat pump, room air conditioner with reverse cycle

The type of heat pump. Use ‘none’ if there is no heat pump.

heat_pump_heating_efficiency_type

true

Choice

HSPF, HSPF2, COP

The heating efficiency type of heat pump. System types air-to-air and mini-split use HSPF or HSPF2. System types ground-to-air, packaged terminal heat pump and room air conditioner with reverse cycle use COP.

heat_pump_heating_efficiency

true

Double

The rated heating efficiency value of the heat pump.

heat_pump_cooling_efficiency_type

true

Choice

SEER, SEER2, EER, CEER

The cooling efficiency type of heat pump. System types air-to-air and mini-split use SEER or SEER2. System types ground-to-air, packaged terminal heat pump and room air conditioner with reverse cycle use EER.

heat_pump_cooling_efficiency

true

Double

The rated cooling efficiency value of the heat pump.

heat_pump_heating_capacity

false

Btu/hr

Double

The output heating capacity of the heat pump. If not provided, the OS-HPXML autosized default (see Air-to-Air Heat Pump, Mini-Split Heat Pump, Packaged Terminal Heat Pump, Room Air Conditioner w/ Reverse Cycle, Ground-to-Air Heat Pump) is used.

heat_pump_heating_autosizing_limit

false

Btu/hr

Double

The maximum capacity limit applied to the auto-sizing methodology. If not provided, no limit is used.

heat_pump_cooling_capacity

false

Btu/hr

Double

The output cooling capacity of the heat pump. If not provided, the OS-HPXML autosized default (see Air-to-Air Heat Pump, Mini-Split Heat Pump, Packaged Terminal Heat Pump, Room Air Conditioner w/ Reverse Cycle, Ground-to-Air Heat Pump) is used.

heat_pump_cooling_autosizing_limit

false

Btu/hr

Double

The maximum capacity limit applied to the auto-sizing methodology. If not provided, no limit is used.

heat_pump_fraction_heat_load_served

true

Frac

Double

The heating load served by the heat pump.

heat_pump_fraction_cool_load_served

true

Frac

Double

The cooling load served by the heat pump.

heat_pump_backup_type

true

Choice

auto, none, integrated, separate

The backup type of the heat pump. If ‘integrated’, represents e.g. built-in electric strip heat or dual-fuel integrated furnace. If ‘separate’, represents e.g. electric baseboard or boiler based on the Heating System 2 specified below. Use ‘none’ if there is no backup heating. E.g., ‘integrated’ or ‘auto’. Use ‘auto’ when Backup Use Existing System is true.

heat_pump_backup_heating_autosizing_limit

false

Btu/hr

Double

The maximum capacity limit applied to the auto-sizing methodology if Backup Type is ‘integrated’. If not provided, no limit is used. If Backup Type is ‘separate’, use Heating System 2: Heating Autosizing Limit.

heat_pump_backup_fuel

true

Choice

auto, electricity, natural gas, fuel oil, propane

The backup fuel type of the heat pump. Only applies if Backup Type is ‘integrated’. E.g., ‘electricity’ or ‘auto’. Use ‘auto’ when Backup Use Existing System is true.

heat_pump_backup_heating_efficiency

true

Double

auto

The backup rated efficiency value of the heat pump. Percent for electricity fuel type. AFUE otherwise. Only applies if Backup Type is ‘integrated’. E.g., ‘1’ or ‘auto’. Use ‘auto’ when Backup Use Existing System is true.

heat_pump_backup_heating_capacity

false

Btu/hr

Double

The backup output heating capacity of the heat pump. If not provided, the OS-HPXML autosized default (see Backup) is used. Only applies if Backup Type is ‘integrated’.

heat_pump_sizing_methodology

false

Choice

auto, ACCA, HERS, MaxLoad

The auto-sizing methodology to use when the heat pump capacity is not provided. If not provided, the OS-HPXML default (see HPXML HVAC Sizing Control) is used.

heat_pump_backup_sizing_methodology

false

Choice

auto, emergency, supplemental

The auto-sizing methodology to use when the heat pump backup capacity is not provided. If not provided, the OS-HPXML default (see HPXML HVAC Sizing Control) is used.

geothermal_loop_configuration

false

Choice

auto, none, vertical

Configuration of the geothermal loop. Only applies to ground-to-air heat pump type. If not provided, the OS-HPXML default (see Ground-to-Air Heat Pump) is used.

geothermal_loop_borefield_configuration

false

Choice

auto, Rectangle, Open Rectangle, C, L, U, Lopsided U

Borefield configuration of the geothermal loop. Only applies to ground-to-air heat pump type. If not provided, the OS-HPXML default (see HPXML Geothermal Loops) is used.

geothermal_loop_loop_flow

false

gpm

Double

Water flow rate through the geothermal loop. Only applies to ground-to-air heat pump type. If not provided, the OS-HPXML autosized default (see HPXML Geothermal Loops) is used.

geothermal_loop_boreholes_count

false

#

Integer

Number of boreholes. Only applies to ground-to-air heat pump type. If not provided, the OS-HPXML autosized default (see HPXML Geothermal Loops) is used.

geothermal_loop_boreholes_length

false

ft

Double

Average length of each borehole (vertical). Only applies to ground-to-air heat pump type. If not provided, the OS-HPXML autosized default (see HPXML Geothermal Loops) is used.

geothermal_loop_boreholes_spacing

false

ft

Double

auto

Distance between bores. Only applies to ground-to-air heat pump type. If not provided, the OS-HPXML default (see HPXML Geothermal Loops) is used.

geothermal_loop_boreholes_diameter

false

in

Double

auto

Diameter of bores. Only applies to ground-to-air heat pump type. If not provided, the OS-HPXML default (see HPXML Geothermal Loops) is used.

geothermal_loop_grout_type

false

Choice

auto, standard, thermally enhanced

Grout type of the geothermal loop. Only applies to ground-to-air heat pump type. If not provided, the OS-HPXML default (see HPXML Geothermal Loops) is used.

geothermal_loop_pipe_type

false

Choice

auto, standard, thermally enhanced

Pipe type of the geothermal loop. Only applies to ground-to-air heat pump type. If not provided, the OS-HPXML default (see HPXML Geothermal Loops) is used.

geothermal_loop_pipe_diameter

false

in

Choice

auto, 3/4” pipe, 1” pipe, 1-1/4” pipe

Pipe diameter of the geothermal loop. Only applies to ground-to-air heat pump type. If not provided, the OS-HPXML default (see HPXML Geothermal Loops) is used.

heating_system_has_flue_or_chimney

true

String

Whether the heating system has a flue or chimney.

Options

From project_national the list of options, option stock saturation, and option arguments for the HVAC Shared Efficiencies characteristic.

Option name

Stock saturation

heating_system_type

heating_system_heating_efficiency

heating_system_heating_capacity

heating_system_heating_autosizing_limit

heating_system_fraction_heat_load_served

cooling_system_type

cooling_system_compressor_type

cooling_system_cooling_efficiency_type

cooling_system_cooling_efficiency

cooling_system_cooling_capacity

cooling_system_cooling_autosizing_limit

cooling_system_is_ducted

heat_pump_type

heat_pump_heating_efficiency_type

heat_pump_heating_efficiency

heat_pump_cooling_efficiency_type

heat_pump_cooling_efficiency

heat_pump_heating_capacity

heat_pump_heating_autosizing_limit

heat_pump_cooling_capacity

heat_pump_cooling_autosizing_limit

heat_pump_fraction_heat_load_served

heat_pump_fraction_cool_load_served

heat_pump_backup_type

heat_pump_backup_heating_autosizing_limit

heat_pump_backup_fuel

heat_pump_backup_heating_efficiency

heat_pump_backup_heating_capacity

heat_pump_sizing_methodology

heat_pump_backup_sizing_methodology

geothermal_loop_configuration

geothermal_loop_borefield_configuration

geothermal_loop_loop_flow

geothermal_loop_boreholes_count

geothermal_loop_boreholes_length

geothermal_loop_boreholes_spacing

geothermal_loop_boreholes_diameter

geothermal_loop_grout_type

geothermal_loop_pipe_type

geothermal_loop_pipe_diameter

heating_system_has_flue_or_chimney

Boiler Baseboards Heating Only, Electricity

2.8%

Shared Boiler w/ Baseboard

1

auto

auto

1

none

HSPF

0

SEER

0

auto

auto

auto

auto

1

1

none

auto

electricity

1

auto

ACCA

auto

none

auto

auto

auto

auto

auto

auto

auto

auto

auto

auto

Boiler Baseboards Heating Only, Fuel

4.4%

Shared Boiler w/ Baseboard

0.78

auto

auto

1

none

HSPF

0

SEER

0

auto

auto

auto

auto

1

1

none

auto

electricity

1

auto

ACCA

auto

none

auto

auto

auto

auto

auto

auto

auto

auto

auto

auto

Fan Coil Cooling Only

1.4%

mini-split

variable speed

SEER

13

auto

auto

false

Fan Coil Heating and Cooling, Electricity

1.3%

Shared Boiler w/ Ductless Fan Coil

1

auto

auto

1

mini-split

variable speed

SEER

13

auto

false

none

HSPF

0

SEER

0

auto

auto

auto

auto

1

1

none

auto

electricity

1

auto

ACCA

auto

none

auto

auto

auto

auto

auto

auto

auto

auto

auto

auto

Fan Coil Heating and Cooling, Fuel

1.1%

Shared Boiler w/ Ductless Fan Coil

0.78

auto

auto

1

mini-split

variable speed

SEER

13

auto

false

none

HSPF

0

SEER

0

auto

auto

auto

auto

1

1

none

auto

electricity

1

auto

ACCA

auto

none

auto

auto

auto

auto

auto

auto

auto

auto

auto

auto

None

89%

Void

0%

HVAC System Is Faulted

Description

The presence of the HVAC system having a fault (not used in project_national).

Created by

manually created

Source

Options

From project_national the list of options, option stock saturation, and option arguments for the HVAC System Is Faulted characteristic.

Option name

Stock saturation

No

100%

Yes

0%

HVAC System Is Scaled

Description

Whether the HVAC system has been undersized or oversized (not used in project_national).

Created by

manually created

Source

  • Assuming no oversizing or undersizing until we have data necessary to characterize all types of systems.

Options

From project_national the list of options, option stock saturation, and option arguments for the HVAC System Is Scaled characteristic.

Option name

Stock saturation

No

100%

Yes

0%

HVAC System Single Speed AC Airflow

Description

Single speed central and room air conditioner actual air flow rates.

Created by

manually created

Source

  • Winkler et al. ‘Impact of installation faults in air conditioners and heat pumps in single-family homes on US energy usage’ 2020

Arguments

Name

Required

Units

Type

Choices

Description

cooling_system_rated_cfm_per_ton

false

cfm/ton

Double

The rated cfm per ton of the cooling system.

cooling_system_actual_cfm_per_ton

false

cfm/ton

Double

The actual cfm per ton of the cooling system.

Options

From project_national the list of options, option stock saturation, and option arguments for the HVAC System Single Speed AC Airflow characteristic.

Option name

Stock saturation

cooling_system_rated_cfm_per_ton

cooling_system_actual_cfm_per_ton

154.8 cfm/ton

0%

400.0

154.8

204.4 cfm/ton

0%

400.0

204.4

254.0 cfm/ton

0%

400.0

254.0

303.5 cfm/ton

0%

400.0

303.5

353.1 cfm/ton

0%

400.0

353.1

402.7 cfm/ton

0%

400.0

402.7

452.3 cfm/ton

0%

400.0

452.3

501.9 cfm/ton

0%

400.0

501.9

551.5 cfm/ton

0%

400.0

551.5

601.0 cfm/ton

0%

400.0

601.0

650.6 cfm/ton

0%

400.0

650.6

700.2 cfm/ton

0%

400.0

700.2

None

100%

HVAC System Single Speed AC Charge

Description

Central and room air conditioner deviation between design/installed charge.

Created by

manually created

Source

  • Winkler et al. ‘Impact of installation faults in air conditioners and heat pumps in single-family homes on US energy usage’ 2020

Arguments

Name

Required

Units

Type

Choices

Description

cooling_system_frac_manufacturer_charge

false

Frac

Double

The fraction of manufacturer recommended charge of the cooling system.

Options

From project_national the list of options, option stock saturation, and option arguments for the HVAC System Single Speed AC Charge characteristic.

Option name

Stock saturation

cooling_system_frac_manufacturer_charge

0.570 Charge Frac

0%

0.570

0.709 Charge Frac

0%

0.709

0.848 Charge Frac

0%

0.848

0.988 Charge Frac

0%

0.988

1.127 Charge Frac

0%

1.127

1.266 Charge Frac

0%

1.266

1.405 Charge Frac

0%

1.405

None

100%

HVAC System Single Speed ASHP Airflow

Description

Single speed air source heat pump actual air flow rates.

Created by

manually created

Source

  • Winkler et al. ‘Impact of installation faults in air conditioners and heat pumps in single-family homes on US energy usage’ 2020

Arguments

Name

Required

Units

Type

Choices

Description

heat_pump_rated_cfm_per_ton

false

cfm/ton

Double

The rated cfm per ton of the heat pump.

heat_pump_actual_cfm_per_ton

false

cfm/ton

Double

The actual cfm per ton of the heat pump.

Options

From project_national the list of options, option stock saturation, and option arguments for the HVAC System Single Speed ASHP Airflow characteristic.

Option name

Stock saturation

heat_pump_rated_cfm_per_ton

heat_pump_actual_cfm_per_ton

154.8 cfm/ton

0%

400.0

154.8

204.4 cfm/ton

0%

400.0

204.4

254.0 cfm/ton

0%

400.0

254.0

303.5 cfm/ton

0%

400.0

303.5

353.1 cfm/ton

0%

400.0

353.1

402.7 cfm/ton

0%

400.0

402.7

452.3 cfm/ton

0%

400.0

452.3

501.9 cfm/ton

0%

400.0

501.9

551.5 cfm/ton

0%

400.0

551.5

601.0 cfm/ton

0%

400.0

601.0

650.6 cfm/ton

0%

400.0

650.6

700.2 cfm/ton

0%

400.0

700.2

None

100%

HVAC System Single Speed ASHP Charge

Description

Air source heat pump deviation between design/installed charge.

Created by

manually created

Source

  • Winkler et al. ‘Impact of installation faults in air conditioners and heat pumps in single-family homes on US energy usage’ 2020

Arguments

Name

Required

Units

Type

Choices

Description

heat_pump_frac_manufacturer_charge

false

Frac

Double

The fraction of manufacturer recommended charge of the heat pump.

Options

From project_national the list of options, option stock saturation, and option arguments for the HVAC System Single Speed ASHP Charge characteristic.

Option name

Stock saturation

heat_pump_frac_manufacturer_charge

0.570 Charge Frac

0%

0.570

0.709 Charge Frac

0%

0.709

0.848 Charge Frac

0%

0.848

0.988 Charge Frac

0%

0.988

1.127 Charge Frac

0%

1.127

1.266 Charge Frac

0%

1.266

1.405 Charge Frac

0%

1.405

None

100%

Has PV

Description

The dwelling unit has a rooftop photovoltaic system.

Created by

sources/dpv/tsv_maker.py

Source

  • ACS population and RiDER data on PV installation that combines LBNL’s 2020 Tracking the Sun and Wood Mackenzie’s 2020 Q4 PV report (prepared by Nicholas.Willems@nrel.gov on Jun 22, 2021)

Assumption

  • Imposed an upperbound of 14 kWDC, which contains 95pct of all installations. Counties with source_count<10 are backfilled with aggregates at the State level. Distribution based on all installations is applied only to occupied SFD, actual distribution for SFD may be higher.

  • PV is not modeled in AK and HI. No data has been identified.

Options

From project_national the list of options, option stock saturation, and option arguments for the Has PV characteristic.

Option name

Stock saturation

No

99%

Yes

1%

Heating Fuel

Description

The primary fuel used for heating the dwelling unit.

Created by

sources/pums/pums2019_5yrs/tsv_maker.py and sources/aris/tsv_maker.py

Source

  • 2019-5yrs Public Use Microdata Samples (PUMS). IPUMS USA, University of Minnesota, www.ipums.org.

  • Alaska specific distribution is based on Alaska Retrofit Information System (2008 to 2022) maintained by Alaska Housing Finance Corporation.

Assumption

  • In ACS, Heating Fuel is reported for occupied units only. By excluding Vacancy Status as a dependency, we assume vacant units share the same Heating Fuel distribution as occupied units. Where sample counts are less than 10, the State average distribution has been inserted. Prior to insertion, the following adjustments have been made to the state distribution so all rows have sample count > 10: 1. Where sample counts < 10 (which consists of Mobile Home and Single-Family Attached only), the Vintage ACS distribution is used instead of Vintage: [CT, DE, ID, MD, ME, MT, ND, NE, NH, NV, RI, SD, UT, VT, WY]

  • 2. Remaining Mobile Homes < 10 are replaced by Single-Family Detached + Mobile Homes combined: [DE, RI, SD, VT, WY, and all DC].

  • For Alaska, we are using a field in ARIS that lumps multi-family 2-4 units and multi-family 5+ units buildings together. Data from the American Community Survey is used to distribute the between these two building types.

  • For Alaska, all wood is modeled as cord wood.

  • For Alaska, when heating uses more than one fuels, the fuel with highest consumption is considered the primary (heating) fuel, and fuel with second highest usage (provided it is at least 10% of total energy use across all fuels) is considered secondary (heating) fuel - except in case of electric heating, which is always assumed as primary. Rest of the fuels are ignored.

Arguments

Name

Required

Units

Type

Choices

Description

heating_system_fuel

true

Choice

electricity, natural gas, fuel oil, propane, wood, wood pellets, coal

The fuel type of the heating system. Ignored for ElectricResistance.

Options

From project_national the list of options, option stock saturation, and option arguments for the Heating Fuel characteristic.

Option name

Stock saturation

heating_system_fuel

Electricity

39%

electricity

Fuel Oil

4.9%

fuel oil

Natural Gas

47%

natural gas

None

1.1%

natural gas

Other Fuel

0.74%

wood

Propane

5%

propane

Wood

2%

wood

Heating Setpoint

Description

Baseline heating setpoint with no offset applied.

Created by

sources/recs/recs2020/tsv_maker.py

Source

  • U.S. EIA 2020 Residential Energy Consumption Survey (RECS) microdata.

Assumption

  • For dependency conditions with low samples, the following lumpings are used in progressive order until there are enough samples: 1) lumping buildings into Single-Family and Multi-Family only, 2) lumping buildings into Single-Family and Multi-Family only and lumping nearby climate zones within A/B regions and separately 7AK and 8AK 3) lumping all building types together and lumping climate zones within A/B regions and separately 7AK and 8AK

  • Heating type dependency is always lumped into Heat pump / Non-heat pumps

  • For vacant units (for which Tenure = ‘Not Available’), the heating setpoint is set to 55F

Arguments

Name

Required

Units

Type

Choices

Description

hvac_control_heating_season_period

false

String

auto

Enter a date range like ‘Nov 1 - Jun 30’. If not provided, the OS-HPXML default (see HPXML HVAC Control) is used. Can also provide ‘BuildingAmerica’ to use automatic seasons from the Building America House Simulation Protocols.

hvac_control_heating_weekday_setpoint_temp

true

deg-F

Double

Specify the weekday heating setpoint temperature.

hvac_control_heating_weekend_setpoint_temp

true

deg-F

Double

Specify the weekend heating setpoint temperature.

use_auto_heating_season

true

Boolean

true, false

Specifies whether to automatically define the heating season based on the weather file.

Options

From project_national the list of options, option stock saturation, and option arguments for the Heating Setpoint characteristic.

Option name

Stock saturation

hvac_control_heating_season_period

hvac_control_heating_weekday_setpoint_temp

hvac_control_heating_weekend_setpoint_temp

use_auto_heating_season

55F

12%

auto

55

55

false

60F

2.3%

auto

60

60

false

62F

1.1%

auto

62

62

false

65F

5.8%

auto

65

65

false

67F

4.9%

auto

67

67

false

68F

20%

auto

68

68

false

70F

23%

auto

70

70

false

72F

15%

auto

72

72

false

75F

9.4%

auto

75

75

false

76F

2.3%

auto

76

76

false

78F

1.8%

auto

78

78

false

80F

1%

auto

80

80

false

Heating Setpoint Has Offset

Description

Presence of a heating setpoint offset.

Created by

sources/recs/recs2020/tsv_maker.py

Source

  • U.S. EIA 2020 Residential Energy Consumption Survey (RECS) microdata.

Assumption

  • For dependency conditions with low samples, the following lumpings are used in progressive order until there are enough samples: 1) lumping buildings into Single-Family and Multi-Family only, 2) lumping all building types together

Options

From project_national the list of options, option stock saturation, and option arguments for the Heating Setpoint Has Offset characteristic.

Option name

Stock saturation

No

56%

Yes

44%

Heating Setpoint Offset Magnitude

Description

Magnitude of the heating setpoint offset.

Created by

sources/recs/recs2020/tsv_maker.py

Source

  • U.S. EIA 2020 Residential Energy Consumption Survey (RECS) microdata.

Assumption

  • For dependency conditions with low samples, the following lumpings are used in progressive order until there are enough samples: 1) lumping buildings into Single-Family and Multi-Family only, 2) lumping buildings into Single-Family and Multi-Family only and lumping nearby climate zones within A/B regions and separately 7AK and 8AK 3) lumping all building types together and lumping climate zones within A/B regions and separately 7AK and 8AK

Arguments

Name

Required

Units

Type

Choices

Description

hvac_control_heating_weekday_setpoint_offset_magnitude

true

deg-F

Double

Specify the weekday heating offset magnitude.

hvac_control_heating_weekend_setpoint_offset_magnitude

true

deg-F

Double

Specify the weekend heating offset magnitude.

Options

From project_national the list of options, option stock saturation, and option arguments for the Heating Setpoint Offset Magnitude characteristic.

Option name

Stock saturation

hvac_control_heating_weekday_setpoint_offset_magnitude

hvac_control_heating_weekend_setpoint_offset_magnitude

0F

56%

0

0

3F

27%

3

3

6F

12%

6

6

12F

4.9%

12

12

Heating Setpoint Offset Period

Description

The period and offset for the dwelling unit’s heating setpoint. Default for the day is from 9am to 5pm and for the night is 10pm to 7am.

Created by

sources/recs/recs2020/tsv_maker.py

Source

  • U.S. EIA 2020 Residential Energy Consumption Survey (RECS) microdata.

Assumption

  • For dependency conditions with low samples, the following lumpings are used in progressive order until there are enough samples: 1) lumping buildings into Single-Family and Multi-Family only, 2) lumping buildings into Single-Family and Multi-Family only and lumping nearby climate zones within A/B regions and separately 7AK and 8AK 3) lumping all building types together and lumping climate zones within A/B regions and separately 7AK and 8AK

Arguments

Name

Required

Units

Type

Choices

Description

hvac_control_heating_weekday_setpoint_schedule

true

String

Specify the 24-hour comma-separated weekday heating schedule of 0s and 1s.

hvac_control_heating_weekend_setpoint_schedule

true

String

Specify the 24-hour comma-separated weekend heating schedule of 0s and 1s.

Options

From project_national the list of options, option stock saturation, and option arguments for the Heating Setpoint Offset Period characteristic.

Option name

Stock saturation

hvac_control_heating_weekday_setpoint_schedule

hvac_control_heating_weekend_setpoint_schedule

Day

0.3%

0, 0, 0, 0, 0, 0, 0, 0, 0, -1, -1, -1, -1, -1, -1, -1, -1, 0, 0, 0, 0, 0, 0, 0

0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0

Day -1h

0.3%

0, 0, 0, 0, 0, 0, 0, 0, -1, -1, -1, -1, -1, -1, -1, -1, 0, 0, 0, 0, 0, 0, 0, 0

0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0

Day -2h

0.3%

0, 0, 0, 0, 0, 0, 0, -1, -1, -1, -1, -1, -1, -1, -1, 0, 0, 0, 0, 0, 0, 0, 0, 0

0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0

Day -3h

0.3%

0, 0, 0, 0, 0, 0, -1, -1, -1, -1, -1, -1, -1, -1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0

0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0

Day -4h

0.3%

0, 0, 0, 0, 0, -1, -1, -1, -1, -1, -1, -1, -1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0

0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0

Day -5h

0.3%

0, 0, 0, 0, -1, -1, -1, -1, -1, -1, -1, -1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0

0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0

Day +1h

0.3%

0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1, -1, -1, -1, -1, -1, -1, -1, 0, 0, 0, 0, 0, 0

0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0

Day +2h

0.3%

0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1, -1, -1, -1, -1, -1, -1, -1, 0, 0, 0, 0, 0

0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0

Day +3h

0.3%

0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1, -1, -1, -1, -1, -1, -1, -1, 0, 0, 0, 0

0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0

Day +4h

0.3%

0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1, -1, -1, -1, -1, -1, -1, -1, 0, 0, 0

0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0

Day +5h

0.3%

0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1, -1, -1, -1, -1, -1, -1, -1, 0, 0

0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0

Day and Night

0.44%

-1,-1,-1,-1,-1,-1,-1,0,0,-1,-1,-1,-1,-1,-1,-1,-1,0,0,0,0,0,-1,-1

-1,-1,-1,-1,-1,-1,-1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,-1,-1

Day and Night -1h

0.44%

-1,-1,-1,-1,-1,-1,0,0,-1,-1,-1,-1,-1,-1,-1,-1,0,0,0,0,0,-1,-1,-1

-1,-1,-1,-1,-1,-1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,-1,-1,-1

Day and Night -2h

0.44%

-1,-1,-1,-1,-1,0,0,-1,-1,-1,-1,-1,-1,-1,-1,0,0,0,0,0,-1,-1,-1,-1

-1,-1,-1,-1,-1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,-1,-1,-1,-1

Day and Night -3h

0.44%

-1,-1,-1,-1,0,0,-1,-1,-1,-1,-1,-1,-1,-1,0,0,0,0,0,-1,-1,-1,-1,-1

-1,-1,-1,-1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,-1,-1,-1,-1,-1

Day and Night -4h

0.44%

-1,-1,-1,0,0,-1,-1,-1,-1,-1,-1,-1,-1,0,0,0,0,0,-1,-1,-1,-1,-1,-1

-1,-1,-1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,-1,-1,-1,-1,-1,-1

Day and Night -5h

0.44%

-1,-1,0,0,-1,-1,-1,-1,-1,-1,-1,-1,0,0,0,0,0,-1,-1,-1,-1,-1,-1,-1

-1,-1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,-1,-1,-1,-1,-1,-1,-1

Day and Night +1h

0.44%

-1,-1,-1,-1,-1,-1,-1,-1,0,0,-1,-1,-1,-1,-1,-1,-1,-1,0,0,0,0,0,-1

-1,-1,-1,-1,-1,-1,-1,-1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,-1

Day and Night +2h

0.44%

-1,-1,-1,-1,-1,-1,-1,-1,-1,0,0,-1,-1,-1,-1,-1,-1,-1,-1,0,0,0,0,0

-1,-1,-1,-1,-1,-1,-1,-1,-1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0

Day and Night +3h

0.44%

0,-1,-1,-1,-1,-1,-1,-1,-1,-1,0,0,-1,-1,-1,-1,-1,-1,-1,-1,0,0,0,0

0,-1,-1,-1,-1,-1,-1,-1,-1,-1,0,0,0,0,0,0,0,0,0,0,0,0,0,0

Day and Night +4h

0.44%

0,0,-1,-1,-1,-1,-1,-1,-1,-1,-1,0,0,-1,-1,-1,-1,-1,-1,-1,-1,0,0,0

0,0,-1,-1,-1,-1,-1,-1,-1,-1,-1,0,0,0,0,0,0,0,0,0,0,0,0,0

Day and Night +5h

0.44%

0,0,0,-1,-1,-1,-1,-1,-1,-1,-1,-1,0,0,-1,-1,-1,-1,-1,-1,-1,-1,0,0

0,0,0,-1,-1,-1,-1,-1,-1,-1,-1,-1,0,0,0,0,0,0,0,0,0,0,0,0

Night

3.2%

-1, -1, -1, -1, -1, -1, -1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1, -1

-1, -1, -1, -1, -1, -1, -1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1, -1

Night -1h

3.2%

-1, -1, -1, -1, -1, -1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1, -1, -1

-1, -1, -1, -1, -1, -1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1, -1, -1

Night -2h

3.2%

-1, -1, -1, -1, -1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1, -1, -1, -1

-1, -1, -1, -1, -1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1, -1, -1, -1

Night -3h

3.2%

-1, -1, -1, -1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1, -1, -1, -1, -1

-1, -1, -1, -1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1, -1, -1, -1, -1

Night -4h

3.2%

-1, -1, -1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1, -1, -1, -1, -1, -1

-1, -1, -1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1, -1, -1, -1, -1, -1

Night -5h

3.2%

-1, -1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1, -1, -1, -1, -1, -1, -1

-1, -1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1, -1, -1, -1, -1, -1, -1

Night +1h

3.2%

-1, -1, -1, -1, -1, -1, -1, -1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1

-1, -1, -1, -1, -1, -1, -1, -1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1

Night +2h

3.2%

-1, -1, -1, -1, -1, -1, -1, -1, -1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0

-1, -1, -1, -1, -1, -1, -1, -1, -1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0

Night +3h

3.2%

0, -1, -1, -1, -1, -1, -1, -1, -1, -1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0

0, -1, -1, -1, -1, -1, -1, -1, -1, -1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0

Night +4h

3.2%

0, 0, -1, -1, -1, -1, -1, -1, -1, -1, -1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0

0, 0, -1, -1, -1, -1, -1, -1, -1, -1, -1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0

Night +5h

3.2%

0, 0, 0, -1, -1, -1, -1, -1, -1, -1, -1, -1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0

0, 0, 0, -1, -1, -1, -1, -1, -1, -1, -1, -1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0

None

56%

0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0

0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0

Heating Unavailable Days

Description

Number of days in a year the heating system is unavailable

Created by

sources/recs/recs2020/tsv_maker.py

Source

  • U.S. EIA 2020 Residential Energy Consumption Survey (RECS) microdata.

Assumption

  • Where samples are less than 10, the data is aggregated in the following order until there are no rows with less than 10 samples:

  • 1. The Federal Poverty Level dependency is aggregated every 100%

  • 2. The Federal Poverty Level dependency is aggregated every 200%

  • 3. The Geometry Building Type RECS dependency is aggregated into SF, MF, and MH bins.

  • 4. The Cooling Unavailable Days dependency is aggregated into Days, Weeks, Month, and All Year bins.

  • 5. The Cooling Unavailable Days dependency is removed.

Arguments

Name

Required

Units

Type

Choices

Description

schedules_space_heating_unavailable_days

false

Integer

Number of days space heating equipment is unavailable.

Options

From project_national the list of options, option stock saturation, and option arguments for the Heating Unavailable Days characteristic.

Option name

Stock saturation

schedules_space_heating_unavailable_days

1 day

0.82%

1

1 month

0.35%

30

1 week

0.62%

7

2 weeks

0.43%

14

3 days

1.1%

3

3 months

0.36%

90

Never

96%

0

Year round

0.24%

365

Holiday Lighting

Description

Use of holiday lighting (not currently modeled separately from other exterior lighting).

Created by

sources/other/tsv_maker.py

Source

  • n/a

Arguments

Name

Required

Units

Type

Choices

Description

holiday_lighting_present

true

Boolean

true, false

Whether there is holiday lighting.

holiday_lighting_daily_kwh

false

kWh/day

Double

auto

The daily energy consumption for holiday lighting (exterior). If not provided, the OS-HPXML default (see HPXML Lighting) is used.

holiday_lighting_period

false

String

auto

Enter a date range like ‘Nov 25 - Jan 5’. If not provided, the OS-HPXML default (see HPXML Lighting) is used.

Options

From project_national the list of options, option stock saturation, and option arguments for the Holiday Lighting characteristic.

Option name

Stock saturation

holiday_lighting_present

holiday_lighting_daily_kwh

holiday_lighting_period

No Exterior Use

100%

false

0

auto

Hot Water Distribution

Description

Hot water piping material and insulation level.

Created by

manually created

Source

  • Engineering Judgement

Arguments

Name

Required

Units

Type

Choices

Description

hot_water_distribution_system_type

true

Choice

Standard, Recirculation

The type of the hot water distribution system.

hot_water_distribution_standard_piping_length

false

ft

Double

auto

If the distribution system is Standard, the length of the piping. If not provided, the OS-HPXML default (see Standard) is used.

hot_water_distribution_recirc_control_type

false

Choice

auto, no control, timer, temperature, presence sensor demand control, manual demand control

If the distribution system is Recirculation, the type of hot water recirculation control, if any.

hot_water_distribution_recirc_piping_length

false

ft

Double

auto

If the distribution system is Recirculation, the length of the recirculation piping. If not provided, the OS-HPXML default (see Recirculation (In-Unit)) is used.

hot_water_distribution_recirc_branch_piping_length

false

ft

Double

auto

If the distribution system is Recirculation, the length of the recirculation branch piping. If not provided, the OS-HPXML default (see Recirculation (In-Unit)) is used.

hot_water_distribution_recirc_pump_power

false

W

Double

auto

If the distribution system is Recirculation, the recirculation pump power. If not provided, the OS-HPXML default (see Recirculation (In-Unit)) is used.

hot_water_distribution_pipe_r

false

h-ft^2-R/Btu

Double

auto

Nominal R-value of the pipe insulation. If not provided, the OS-HPXML default (see HPXML Hot Water Distribution) is used.

dwhr_facilities_connected

true

Choice

none, one, all

Which facilities are connected for the drain water heat recovery. Use ‘none’ if there is no drain water heat recovery system.

dwhr_equal_flow

false

Boolean

auto, true, false

Whether the drain water heat recovery has equal flow.

dwhr_efficiency

false

Frac

Double

The efficiency of the drain water heat recovery.

Options

From project_national the list of options, option stock saturation, and option arguments for the Hot Water Distribution characteristic.

Option name

Stock saturation

hot_water_distribution_system_type

hot_water_distribution_standard_piping_length

hot_water_distribution_recirc_control_type

hot_water_distribution_recirc_piping_length

hot_water_distribution_recirc_branch_piping_length

hot_water_distribution_recirc_pump_power

hot_water_distribution_pipe_r

dwhr_facilities_connected

dwhr_equal_flow

dwhr_efficiency

Uninsulated

100%

Standard

auto

no control

0

0

0

0

none

true

0.0

Hot Water Fixtures

Description

Hot water fixture usage and flow levels.

Created by

sources/other/tsv_maker.py

Source

  • Field data from a demand management program with 1700 residential electric resistance water heaters in the Northeast U.S., mean-shifted from 0.8 to 1 average usage.

Assumption

  • Low, Medium, and High usage is assigned based on the lower 25th percent, middle 50th percent, and upper 25th percent.

Arguments

Name

Required

Units

Type

Choices

Description

water_fixtures_shower_low_flow

true

Boolean

true, false

Whether the shower fixture is low flow.

water_fixtures_sink_low_flow

true

Boolean

true, false

Whether the sink fixture is low flow.

water_fixtures_usage_multiplier

false

Double

auto

Multiplier on the hot water usage that can reflect, e.g., high/low usage occupants. If not provided, the OS-HPXML default (see HPXML Water Fixtures) is used.

Options

From project_national the list of options, option stock saturation, and option arguments for the Hot Water Fixtures characteristic.

Option name

Stock saturation

water_fixtures_shower_low_flow

water_fixtures_sink_low_flow

water_fixtures_usage_multiplier

50% Usage

0.47%

false

false

0.5

60% Usage

3.6%

false

false

0.6

70% Usage

9.9%

false

false

0.7

80% Usage

14%

false

false

0.8

90% Usage

17%

false

false

0.9

100% Usage

18%

false

false

1.0

110% Usage

13%

false

false

1.1

120% Usage

8.9%

false

false

1.2

130% Usage

6.8%

false

false

1.3

140% Usage

3.8%

false

false

1.4

150% Usage

2.1%

false

false

1.5

160% Usage

0.99%

false

false

1.6

170% Usage

0.73%

false

false

1.7

180% Usage

0.31%

false

false

1.8

190% Usage

0%

false

false

1.9

200% Usage

0.1%

false

false

2.0

Household Has Tribal Persons

Description

The household occupying the dwelling unit has at least one tribal person in the household.

Created by

sources/pums/pums2019_5yrs/tsv_maker.py

Source

  • 2019-5yrs Public Use Microdata Samples (PUMS). IPUMS USA, University of Minnesota, www.ipums.org.

Assumption

  • 2188 / 2336 PUMA has <10 samples and are falling back to state level aggregated values.DC Mobile Homes do not exist and are replaced with Single-Family Detached.

Options

From project_national the list of options, option stock saturation, and option arguments for the Household Has Tribal Persons characteristic.

Option name

Stock saturation

No

87%

Not Available

12%

Yes

0.9%

ISO RTO Region

Description

The independent system operator or regional transmission organization region that the sample is located.

Created by

sources/spatial/tsv_maker.py

Source

  • Spatial definitions are from the U.S. Census Bureau as of July 1, 2015.

  • Unit counts are from the American Community Survey 5-yr 2016.

  • ISO and RTO regions are from EIA Form 861.

Options

From project_national the list of options, option stock saturation, and option arguments for the ISO RTO Region characteristic.

Option name

Stock saturation

CAISO

6.8%

ERCOT

6.9%

MISO

16%

NEISO

4.8%

None

35%

NYISO

6.1%

PJM

20%

SPP

4.6%

Income

Description

Income of the household occupying the dwelling unit.

Created by

sources/pums/pums2019_5yrs/tsv_maker.py

Source

  • 2019-5yrs Public Use Microdata Samples (PUMS). IPUMS USA, University of Minnesota, www.ipums.org.

Assumption

  • In ACS, Income and Tenure are reported for occupied units only. Because we assume vacant units share the same Tenure distribution as occupied units, by extension, we assume this Income distribution applies to all units regardless of Vacancy Status. For reference, 57445 / 140160 rows have sampling_probability >= 1/550000. Of those rows, 2961 (5%) were replaced due to low samples in the following process: Where sample counts are less than 10 (79145 / 140160 relevant rows), the Census Division by PUMA Metro Status average distribution has been inserted first (76864), followed by Census Division by ‘Metro’/’Non-metro’ average distribution (1187), followed by Census Region by PUMA Metro Status average distribution (282), followed by Census Region by ‘Metro’/’Non-metro’ average distribution (112).

Options

From project_national the list of options, option stock saturation, and option arguments for the Income characteristic.

Option name

Stock saturation

<10000

5.4%

10000-14999

3.8%

15000-19999

3.9%

20000-24999

4%

25000-29999

3.8%

30000-34999

4%

35000-39999

3.7%

40000-44999

3.7%

45000-49999

3.4%

50000-59999

6.6%

60000-69999

5.9%

70000-79999

5.2%

80000-99999

8.5%

100000-119999

6.6%

120000-139999

4.7%

140000-159999

3.4%

160000-179999

2.5%

180000-199999

1.8%

200000+

6.9%

Not Available

12%

Income RECS2015

Description

Income of the household occupying the dwelling unit that are aligned with the 2015 U.S. Energy Information Administration Residential Energy Consumption Survey.

Created by

sources/pums/pums2019_5yrs/tsv_maker.py

Source

  • 2019-5yrs Public Use Microdata Samples (PUMS). IPUMS USA, University of Minnesota, www.ipums.org.

Assumption

  • Income bins aligned with RECS 2015

Options

From project_national the list of options, option stock saturation, and option arguments for the Income RECS2015 characteristic.

Option name

Stock saturation

<20000

13%

20000-39999

16%

40000-59999

14%

60000-79999

11%

80000-99999

8.5%

100000-119999

6.6%

120000-139999

4.7%

140000+

14%

Not Available

12%

Income RECS2020

Description

Income of the household occupying the dwelling unit that are aligned with the 2020 U.S. Energy Information Administration Residential Energy Consumption Survey.

Created by

sources/pums/pums2019_5yrs/tsv_maker.py

Source

  • 2019-5yrs Public Use Microdata Samples (PUMS). IPUMS USA, University of Minnesota, www.ipums.org.

Assumption

  • Consolidated income bins aligned with RECS 2020

Options

From project_national the list of options, option stock saturation, and option arguments for the Income RECS2020 characteristic.

Option name

Stock saturation

<20000

13%

20000-39999

16%

40000-59999

14%

60000-99999

20%

100000-149999

13%

150000+

13%

Not Available

12%

Infiltration

Description

Total infiltration to the dwelling unit.

Created by

sources/resdb/tsv_maker.py and sources/aris/tsv_maker.py

Source

  • Distributions are based on the cumulative distribution functions from the Residential Diagnostics Database (ResDB), http://resdb.lbl.gov/.

  • Alaska specific distribution is based on Alaska Retrofit Information System (2008 to 2022) maintained by Alaska Housing Finance Corporation.

Assumption

  • All ACH50 are based on Single-Family Detached blower door tests.

  • Climate zones that are copied: 2A to 1A, 6A to 7A, and 6B to 7B.

  • Vintage bins that are copied: 2000s to 2010s, 1950s to 1940s, 1950s to <1940s.

  • Homes are assumed to not be Weatherization Assistance Program (WAP) qualified and not ENERGY STAR certified.

  • Climate zones 7AK and 8AK are averages of 6A and 6B.

  • ResStock models multi-family and SFA units with the unit total air leakage type. The unit total air leakage assume that some of the sampled ACH50 value goes to neighboring units. The model infiltration value to the exterior is a smaller infiltration value that what is sampled and is adjusted by the ratio of exterior envelope surface area to total envelope surface area. The modeled infiltration to the exterior is reported in the results.

  • For Alaska, we are using a field in ARIS that lumps multi-family 2-4 units and multi-family 5+ units buildings together. Data from the American Community Survey is used to distribute the between these two building types.

  • For Alaska, Infiltration ACH50 values are calculated based on CFM50 from blower door test and estimated volume of the home.

Arguments

Name

Required

Units

Type

Choices

Description

site_shielding_of_home

false

Choice

auto, exposed, normal, well-shielded

Presence of nearby buildings, trees, obstructions for infiltration model. If not provided, the OS-HPXML default (see HPXML Site) is used.

air_leakage_leakiness_description

false

Choice

auto, very tight, tight, average, leaky, very leaky

Qualitative description of infiltration. If provided, the Year Built of the home is required. Either provide this input or provide a numeric air leakage value below.

air_leakage_units

false

Choice

auto, ACH, CFM, ACHnatural, CFMnatural, EffectiveLeakageArea

The unit of measure for the air leakage if providing a numeric air leakage value.

air_leakage_house_pressure

false

Pa

Double

The house pressure relative to outside if providing a numeric air leakage value. Required when units are ACH or CFM.

air_leakage_value

false

Double

Numeric air leakage value. For ‘EffectiveLeakageArea’, provide value in sq. in. If provided, overrides Leakiness Description input.

air_leakage_type

false

Choice

auto, unit total, unit exterior only

Type of air leakage if providing a numeric air leakage value. If ‘unit total’, represents the total infiltration to the unit as measured by a compartmentalization test, in which case the air leakage value will be adjusted by the ratio of exterior envelope surface area to total envelope surface area. Otherwise, if ‘unit exterior only’, represents the infiltration to the unit from outside only as measured by a guarded test. Required when unit type is single-family attached or apartment unit.

Options

From project_national the list of options, option stock saturation, and option arguments for the Infiltration characteristic.

Option name

Stock saturation

site_shielding_of_home

air_leakage_leakiness_description

air_leakage_units

air_leakage_house_pressure

air_leakage_value

air_leakage_type

1 ACH50

0.064%

normal

auto

ACH

50

1

unit total

2 ACH50

0.66%

normal

auto

ACH

50

2

unit total

3 ACH50

1.4%

normal

auto

ACH

50

3

unit total

4 ACH50

2.3%

normal

auto

ACH

50

4

unit total

5 ACH50

3.4%

normal

auto

ACH

50

5

unit total

6 ACH50

4.3%

normal

auto

ACH

50

6

unit total

7 ACH50

4.9%

normal

auto

ACH

50

7

unit total

8 ACH50

5.3%

normal

auto

ACH

50

8

unit total

10 ACH50

11%

normal

auto

ACH

50

10

unit total

15 ACH50

24%

normal

auto

ACH

50

15

unit total

20 ACH50

17%

normal

auto

ACH

50

20

unit total

25 ACH50

10%

normal

auto

ACH

50

25

unit total

30 ACH50

6.1%

normal

auto

ACH

50

30

unit total

40 ACH50

5.7%

normal

auto

ACH

50

40

unit total

50 ACH50

3.2%

normal

auto

ACH

50

50

unit total

Insulation Ceiling

Source

  • NEEA Residential Building Stock Assessment, 2012

  • Nettleton, G.

  • Edwards, J. (2012). Data Collection-Data Characterization Summary, NorthernSTAR Building America Partnership, Building Technologies Program. Washington, D.C.: U.S. Department of Energy, as described in Roberts et al., ‘Assessment of the U.S. Department of Energy’s Home Energy Score Tool’, 2012, and Merket ‘Building America Field Data Repository’, Webinar, 2014

  • Derived from Home Innovation Research Labs 1982-2007 Data

Assumption

  • Vented Attic has the same distribution as Unvented Attic

  • CRHI is a copy of CR09

  • CRAK is a copy of CR02

Arguments

Name

Required

Units

Type

Choices

Description

ceiling_assembly_r

true

h-ft^2-R/Btu

Double

Assembly R-value for the ceiling (attic floor).

ceiling_insulation_r

true

h-ft^2-R/Btu

Double

Nominal R-value for the ceiling (attic floor).

Options

From project_national the list of options, option stock saturation, and option arguments for the Insulation Ceiling characteristic.

Option name

Stock saturation

ceiling_assembly_r

ceiling_insulation_r

None

57%

0

0

Uninsulated

1.2%

2.1

0

R-7

2.7%

8.7

7

R-13

5.3%

14.6

13

R-19

8.4%

20.6

19

R-30

14%

31.6

30

R-38

8.3%

39.6

38

R-49

2.7%

50.6

49

Insulation Floor

Source

  • Derived from Home Innovation Research Labs 1982-2007 Data

  • (pre-1980) Engineering judgment

Assumption

  • CRHI is a copy of CR09

  • CRAK is a copy of CR02

Arguments

Name

Required

Units

Type

Choices

Description

floor_over_foundation_assembly_r

true

h-ft^2-R/Btu

Double

Assembly R-value for the floor over the foundation. Ignored if the building has a slab-on-grade foundation.

floor_over_garage_assembly_r

true

h-ft^2-R/Btu

Double

Assembly R-value for the floor over the garage. Ignored unless the building has a garage under conditioned space.

floor_type

true

Choice

WoodFrame, StructuralInsulatedPanel, SolidConcrete, SteelFrame

The type of floors.

Options

From project_national the list of options, option stock saturation, and option arguments for the Insulation Floor characteristic.

Option name

Stock saturation

floor_over_foundation_assembly_r

floor_over_garage_assembly_r

floor_type

None

39%

0

5.3

WoodFrame

Uninsulated

48%

5.3

5.3

WoodFrame

Ceiling R-13

4.8%

17.8

17.8

WoodFrame

Ceiling R-19

7.7%

22.6

22.6

WoodFrame

Ceiling R-30

0.29%

30.3

30.3

WoodFrame

Insulation Foundation Wall

Source

  • Derived from Home Innovation Research Labs 1982-2007 Data

  • (pre-1980) Engineering judgment

Assumption

  • CRHI is a copy of CR09

  • CRAK is a copy of CR02

Arguments

Name

Required

Units

Type

Choices

Description

foundation_wall_type

false

Choice

auto, solid concrete, concrete block, concrete block foam core, concrete block perlite core, concrete block vermiculite core, concrete block solid core, double brick, wood

The material type of the foundation wall. If not provided, the OS-HPXML default (see HPXML Foundation Walls) is used.

foundation_wall_thickness

false

in

Double

auto

The thickness of the foundation wall. If not provided, the OS-HPXML default (see HPXML Foundation Walls) is used.

foundation_wall_insulation_r

true

h-ft^2-R/Btu

Double

Nominal R-value for the foundation wall insulation. Only applies to basements/crawlspaces.

foundation_wall_insulation_location

false

ft

Choice

auto, interior, exterior

Whether the insulation is on the interior or exterior of the foundation wall. Only applies to basements/crawlspaces.

foundation_wall_insulation_distance_to_top

false

ft

Double

auto

The distance from the top of the foundation wall to the top of the foundation wall insulation. Only applies to basements/crawlspaces. If not provided, the OS-HPXML default (see HPXML Foundation Walls) is used.

foundation_wall_insulation_distance_to_bottom

false

ft

Double

auto

The distance from the top of the foundation wall to the bottom of the foundation wall insulation. Only applies to basements/crawlspaces. If not provided, the OS-HPXML default (see HPXML Foundation Walls) is used.

foundation_wall_assembly_r

false

h-ft^2-R/Btu

Double

Assembly R-value for the foundation walls. Only applies to basements/crawlspaces. If provided, overrides the previous foundation wall insulation inputs. If not provided, it is ignored.

Options

From project_national the list of options, option stock saturation, and option arguments for the Insulation Foundation Wall characteristic.

Option name

Stock saturation

foundation_wall_type

foundation_wall_thickness

foundation_wall_insulation_r

foundation_wall_insulation_location

foundation_wall_insulation_distance_to_top

foundation_wall_insulation_distance_to_bottom

foundation_wall_assembly_r

None

48%

solid concrete

auto

0

exterior

0

0

auto

Uninsulated

47%

solid concrete

auto

0

exterior

0

0

auto

Wall R-5, Exterior

1.2%

solid concrete

auto

5

exterior

0

auto

auto

Wall R-10, Exterior

2.8%

solid concrete

auto

10

exterior

0

auto

auto

Wall R-15, Exterior

0.52%

solid concrete

auto

15

exterior

0

auto

auto

Insulation Rim Joist

Description

Insulation level for rim joists.

Created by

manually created

Source

  • Engineering Judgement

Assumption

  • Rim joist insulation is the same value as the foundation wall insulation.

Arguments

Name

Required

Units

Type

Choices

Description

rim_joist_assembly_r

false

h-ft^2-R/Btu

Double

Assembly R-value for the rim joists. Only applies to basements/crawlspaces. Required if a rim joist height is provided.

rim_joist_continuous_exterior_r

true

h-ft^2-R/Btu

Double

Nominal R-value for the rim joist continuous exterior insulation. Only applies to basements/crawlspaces.

rim_joist_continuous_interior_r

true

h-ft^2-R/Btu

Double

Nominal R-value for the rim joist continuous interior insulation that runs parallel to floor joists. Only applies to basements/crawlspaces.

rim_joist_assembly_interior_r

true

h-ft^2-R/Btu

Double

Assembly R-value for the rim joist assembly interior insulation that runs perpendicular to floor joists. Only applies to basements/crawlspaces.

Options

From project_national the list of options, option stock saturation, and option arguments for the Insulation Rim Joist characteristic.

Option name

Stock saturation

rim_joist_assembly_r

rim_joist_continuous_exterior_r

rim_joist_continuous_interior_r

rim_joist_assembly_interior_r

None

48%

auto

0

0

0

Uninsulated

47%

auto

0

0

0

R-5, Exterior

1.2%

auto

5

0

0

R-10, Exterior

2.8%

auto

10

0

0

R-15, Exterior

0.52%

auto

15

0

0

Insulation Roof

Description

Finished roof insulation level.

Created by

manually created

Source

  • Derived from Home Innovation Research Labs 1982-2007 Data

  • NEEA Residential Building Stock Assessment, 2012

Arguments

Name

Required

Units

Type

Choices

Description

roof_assembly_r

true

h-ft^2-R/Btu

Double

Assembly R-value of the roof.

Options

From project_national the list of options, option stock saturation, and option arguments for the Insulation Roof characteristic.

Option name

Stock saturation

roof_assembly_r

Unfinished, Uninsulated

43%

2.3

Finished, Uninsulated

1.9%

3.7

Finished, R-7

3.7%

10.2

Finished, R-13

7.2%

14.3

Finished, R-19

11%

21.2

Finished, R-30

19%

29.7

Finished, R-38

11%

36.5

Finished, R-49

3.7%

47.0

Insulation Slab

Description

Slab insulation level.

Created by

manually created

Source

  • Derived from Home Innovation Research Labs 1982-2007 Data

  • (pre-1980) Engineering judgment

Assumption

  • CRHI is a copy of CR09

  • CRAK is a copy of CR02

Arguments

Name

Required

Units

Type

Choices

Description

slab_perimeter_insulation_r

true

h-ft^2-R/Btu

Double

Nominal R-value of the vertical slab perimeter insulation. Applies to slab-on-grade foundations and basement/crawlspace floors.

slab_perimeter_insulation_depth

true

ft

Double

Depth from grade to bottom of vertical slab perimeter insulation. Applies to slab-on-grade foundations and basement/crawlspace floors.

slab_exterior_horizontal_insulation_r

false

h-ft^2-R/Btu

Double

Nominal R-value of the slab exterior horizontal insulation. Applies to slab-on-grade foundations and basement/crawlspace floors.

slab_exterior_horizontal_insulation_width

false

ft

Double

Width of the slab exterior horizontal insulation measured from the exterior surface of the vertical slab perimeter insulation. Applies to slab-on-grade foundations and basement/crawlspace floors.

slab_exterior_horizontal_insulation_depth_below_grade

false

ft

Double

Depth of the slab exterior horizontal insulation measured from the top surface of the slab exterior horizontal insulation. Applies to slab-on-grade foundations and basement/crawlspace floors.

slab_under_insulation_r

true

h-ft^2-R/Btu

Double

Nominal R-value of the horizontal under slab insulation. Applies to slab-on-grade foundations and basement/crawlspace floors.

slab_under_insulation_width

true

ft

Double

Width from slab edge inward of horizontal under-slab insulation. Enter 999 to specify that the under slab insulation spans the entire slab. Applies to slab-on-grade foundations and basement/crawlspace floors.

slab_thickness

false

in

Double

auto

The thickness of the slab. Zero can be entered if there is a dirt floor instead of a slab. If not provided, the OS-HPXML default (see HPXML Slabs) is used.

slab_carpet_fraction

false

Frac

Double

auto

Fraction of the slab floor area that is carpeted. If not provided, the OS-HPXML default (see HPXML Slabs) is used.

slab_carpet_r

false

h-ft^2-R/Btu

Double

auto

R-value of the slab carpet. If not provided, the OS-HPXML default (see HPXML Slabs) is used.

Options

From project_national the list of options, option stock saturation, and option arguments for the Insulation Slab characteristic.

Option name

Stock saturation

slab_perimeter_insulation_r

slab_perimeter_insulation_depth

slab_exterior_horizontal_insulation_r

slab_exterior_horizontal_insulation_width

slab_exterior_horizontal_insulation_depth_below_grade

slab_under_insulation_r

slab_under_insulation_width

slab_thickness

slab_carpet_fraction

slab_carpet_r

None

61%

0

0

0

0

0

0

0

auto

auto

auto

Uninsulated

30%

0

0

0

0

0

0

0

auto

auto

auto

2ft R5 Under, Horizontal

2.6%

0

0

0

0

0

5

2

auto

auto

auto

2ft R10 Under, Horizontal

2.3%

0

0

0

0

0

10

2

auto

auto

auto

4ft R5 Under, Horizontal

0%

0

0

0

0

0

5

4

auto

auto

auto

2ft R5 Perimeter, Vertical

1.8%

5

2

0

0

0

0

0

auto

auto

auto

2ft R10 Perimeter, Vertical

2.8%

10

2

0

0

0

0

0

auto

auto

auto

R10 Whole Slab, Horizontal

0%

0

0

0

0

0

10

999

auto

auto

auto

Insulation Wall

Description

Wall construction type and insulation level.

Created by

manually created

Source

  • Ritschard et al. Single-Family Heating and Cooling Requirements: Assumptions, Methods, and Summary Results 1992

  • Nettleton, G.

  • Edwards, J. (2012). Data Collection-Data Characterization Summary, NorthernSTAR Building America Partnership, Building Technologies Program. Washington, D.C.: U.S. Department of Energy, as described in Roberts et al., ‘Assessment of the U.S. Department of Energy’s Home Energy Score Tool’, 2012, and Merket Building America Field Data Repository, Webinar, 2014

Assumption

  • Updated per new wall type from Lightbox, all wall type-specific distributions follow that of Wood Frame (WoodStud)

Arguments

Name

Required

Units

Type

Choices

Description

wall_type

true

Choice

WoodStud, ConcreteMasonryUnit, DoubleWoodStud, InsulatedConcreteForms, LogWall, StructuralInsulatedPanel, SolidConcrete, SteelFrame, Stone, StrawBale, StructuralBrick

The type of walls.

wall_assembly_r

true

h-ft^2-R/Btu

Double

Assembly R-value of the walls.

Options

From project_national the list of options, option stock saturation, and option arguments for the Insulation Wall characteristic.

Option name

Stock saturation

wall_type

wall_assembly_r

Wood Stud, Uninsulated

31%

WoodStud

3.4

Wood Stud, R-7

7.3%

WoodStud

8.7

Wood Stud, R-11

23%

WoodStud

10.3

Wood Stud, R-15

4.7%

WoodStud

12.1

Wood Stud, R-19

10%

WoodStud

15.4

CMU, 6-in Hollow, Uninsulated

1.4%

ConcreteMasonryUnit

4

CMU, 6-in Hollow, R-7

0.4%

ConcreteMasonryUnit

9.4

CMU, 6-in Hollow, R-11

0.9%

ConcreteMasonryUnit

12.4

CMU, 6-in Hollow, R-15

0.17%

ConcreteMasonryUnit

15

CMU, 6-in Hollow, R-19

0.43%

ConcreteMasonryUnit

17.4

Brick, 12-in, 3-wythe, Uninsulated

9.9%

StructuralBrick

4.9

Brick, 12-in, 3-wythe, R-7

2.6%

StructuralBrick

10.3

Brick, 12-in, 3-wythe, R-11

5.5%

StructuralBrick

13.3

Brick, 12-in, 3-wythe, R-15

1.4%

StructuralBrick

15.9

Brick, 12-in, 3-wythe, R-19

1.5%

StructuralBrick

18.3

Void

0%

Interior Shading

Description

Fraction of window shading in the summer and winter.

Created by

manually created

Source

  • ANSI/RESNET/ICC 301 Standard

Arguments

Name

Required

Units

Type

Choices

Description

window_interior_shading_type

false

Choice

auto, light curtains, light shades, light blinds, medium curtains, medium shades, medium blinds, dark curtains, dark shades, dark blinds, none

Type of window interior shading. Summer/winter shading coefficients can be provided below instead. If neither is provided, the OS-HPXML default (see HPXML Interior Shading) is used.

window_interior_shading_winter

false

Frac

Double

auto

Interior shading coefficient for the winter season, which if provided overrides the shading type input. 1.0 indicates no reduction in solar gain, 0.85 indicates 15% reduction, etc. If not provided, the OS-HPXML default (see HPXML Interior Shading) is used.

window_interior_shading_summer

false

Frac

Double

auto

Interior shading coefficient for the summer season, which if provided overrides the shading type input. 1.0 indicates no reduction in solar gain, 0.85 indicates 15% reduction, etc. If not provided, the OS-HPXML default (see HPXML Interior Shading) is used.

Options

From project_national the list of options, option stock saturation, and option arguments for the Interior Shading characteristic.

Option name

Stock saturation

window_interior_shading_type

window_interior_shading_winter

window_interior_shading_summer

Summer = 0.7, Winter = 0.85

100%

auto

0.85

0.7

Lighting

Description

Qualitative lamp type fractions in each household surveyed are distributed to three options representing 100% incandescent, 100% CFl, and 100% LED lamp type options.

Created by

sources/recs/recs2020/tsv_maker.py

Source

  • U.S. EIA 2020 Residential Energy Consumption Survey (RECS) microdata.

Assumption

  • Qualitative portion of inside light bulbs is mapped to quantitative percentage as: None: 0%

  • Some: 20%

  • About half: 50%

  • Most: 80%

  • All: 100%. Then the sum of three types of lighting options is normalized to 100%

Arguments

Name

Required

Units

Type

Choices

Description

lighting_present

true

Boolean

true, false

Whether there is lighting energy use.

lighting_interior_fraction_cfl

true

Double

Fraction of all lamps (interior) that are compact fluorescent. Lighting not specified as CFL, LFL, or LED is assumed to be incandescent.

lighting_interior_fraction_lfl

true

Double

Fraction of all lamps (interior) that are linear fluorescent. Lighting not specified as CFL, LFL, or LED is assumed to be incandescent.

lighting_interior_fraction_led

true

Double

Fraction of all lamps (interior) that are light emitting diodes. Lighting not specified as CFL, LFL, or LED is assumed to be incandescent.

lighting_exterior_fraction_cfl

true

Double

Fraction of all lamps (exterior) that are compact fluorescent. Lighting not specified as CFL, LFL, or LED is assumed to be incandescent.

lighting_exterior_fraction_lfl

true

Double

Fraction of all lamps (exterior) that are linear fluorescent. Lighting not specified as CFL, LFL, or LED is assumed to be incandescent.

lighting_exterior_fraction_led

true

Double

Fraction of all lamps (exterior) that are light emitting diodes. Lighting not specified as CFL, LFL, or LED is assumed to be incandescent.

lighting_garage_fraction_cfl

true

Double

Fraction of all lamps (garage) that are compact fluorescent. Lighting not specified as CFL, LFL, or LED is assumed to be incandescent.

lighting_garage_fraction_lfl

true

Double

Fraction of all lamps (garage) that are linear fluorescent. Lighting not specified as CFL, LFL, or LED is assumed to be incandescent.

lighting_garage_fraction_led

true

Double

Fraction of all lamps (garage) that are light emitting diodes. Lighting not specified as CFL, LFL, or LED is assumed to be incandescent.

Options

From project_national the list of options, option stock saturation, and option arguments for the Lighting characteristic.

Option name

Stock saturation

lighting_present

lighting_interior_fraction_cfl

lighting_interior_fraction_lfl

lighting_interior_fraction_led

lighting_exterior_fraction_cfl

lighting_exterior_fraction_lfl

lighting_exterior_fraction_led

lighting_garage_fraction_cfl

lighting_garage_fraction_lfl

lighting_garage_fraction_led

100% CFL

23%

true

1

0

0

1

0

0

1

0

0

100% Incandescent

25%

true

0

0

0

0

0

0

0

0

0

100% LED

52%

true

0

0

1

0

0

1

0

0

1

Lighting Interior Use

Description

Interior lighting usage relative to the national average.

Created by

sources/other/tsv_maker.py

Source

  • n/a

Arguments

Name

Required

Units

Type

Choices

Description

lighting_interior_usage_multiplier

false

Double

auto

Multiplier on the lighting energy usage (interior) that can reflect, e.g., high/low usage occupants. If not provided, the OS-HPXML default (see HPXML Lighting) is used.

Options

From project_national the list of options, option stock saturation, and option arguments for the Lighting Interior Use characteristic.

Option name

Stock saturation

lighting_interior_usage_multiplier

100% Usage

100%

1.0

Lighting Other Use

Description

Exterior and garage lighting usage relative to the national average.

Created by

sources/other/tsv_maker.py

Source

  • n/a

Arguments

Name

Required

Units

Type

Choices

Description

lighting_exterior_usage_multiplier

false

Double

auto

Multiplier on the lighting energy usage (exterior) that can reflect, e.g., high/low usage occupants. If not provided, the OS-HPXML default (see HPXML Lighting) is used.

lighting_garage_usage_multiplier

false

Double

auto

Multiplier on the lighting energy usage (garage) that can reflect, e.g., high/low usage occupants. If not provided, the OS-HPXML default (see HPXML Lighting) is used.

Options

From project_national the list of options, option stock saturation, and option arguments for the Lighting Other Use characteristic.

Option name

Stock saturation

lighting_exterior_usage_multiplier

lighting_garage_usage_multiplier

100% Usage

100%

1.0

1.0

Location Region

Description

A custom ResStock region constructed of RECS 2009 reportable domains that the sample is located.

Created by

sources/spatial/tsv_maker.py

Source

Options

From project_national the list of options, option stock saturation, and option arguments for the Location Region characteristic.

Option name

Stock saturation

CR02

5.3%

CR03

4.8%

CR04

13%

CR05

3.5%

CR06

3.5%

CR07

13%

CR08

13%

CR09

29%

CR10

3.7%

CR11

10%

CRAK

0.23%

CRHI

0.4%

Mechanical Ventilation

Description

Mechanical ventilation type and efficiency.

Created by

manually created

Source

  • Engineering Judgement

Arguments

Name

Required

Units

Type

Choices

Description

mech_vent_fan_type

true

Choice

none, exhaust only, supply only, energy recovery ventilator, heat recovery ventilator, balanced, central fan integrated supply

The type of the mechanical ventilation. Use ‘none’ if there is no mechanical ventilation system.

mech_vent_flow_rate

false

CFM

Double

auto

The flow rate of the mechanical ventilation. If not provided, the OS-HPXML default (see HPXML Mechanical Ventilation Fans) is used.

mech_vent_hours_in_operation

false

hrs/day

Double

auto

The hours in operation of the mechanical ventilation. If not provided, the OS-HPXML default (see HPXML Mechanical Ventilation Fans) is used.

mech_vent_recovery_efficiency_type

true

Choice

Unadjusted, Adjusted

The total recovery efficiency type of the mechanical ventilation.

mech_vent_total_recovery_efficiency

true

Frac

Double

The Unadjusted or Adjusted total recovery efficiency of the mechanical ventilation. Applies to energy recovery ventilator.

mech_vent_sensible_recovery_efficiency

true

Frac

Double

The Unadjusted or Adjusted sensible recovery efficiency of the mechanical ventilation. Applies to energy recovery ventilator and heat recovery ventilator.

mech_vent_fan_power

false

W

Double

auto

The fan power of the mechanical ventilation. If not provided, the OS-HPXML default (see HPXML Mechanical Ventilation Fans) is used.

mech_vent_num_units_served

true

#

Integer

Number of dwelling units served by the mechanical ventilation system. Must be 1 if single-family detached. Used to apportion flow rate and fan power to the unit.

mech_vent_shared_frac_recirculation

false

Frac

Double

Fraction of the total supply air that is recirculated, with the remainder assumed to be outdoor air. The value must be 0 for exhaust only systems. Required for a shared mechanical ventilation system.

mech_vent_shared_preheating_fuel

false

Choice

auto, electricity, natural gas, fuel oil, propane, wood, wood pellets, coal

Fuel type of the preconditioning heating equipment. Only used for a shared mechanical ventilation system. If not provided, assumes no preheating.

mech_vent_shared_preheating_efficiency

false

COP

Double

Efficiency of the preconditioning heating equipment. Only used for a shared mechanical ventilation system. If not provided, assumes no preheating.

mech_vent_shared_preheating_fraction_heat_load_served

false

Frac

Double

Fraction of heating load introduced by the shared ventilation system that is met by the preconditioning heating equipment. If not provided, assumes no preheating.

mech_vent_shared_precooling_fuel

false

Choice

auto, electricity

Fuel type of the preconditioning cooling equipment. Only used for a shared mechanical ventilation system. If not provided, assumes no precooling.

mech_vent_shared_precooling_efficiency

false

COP

Double

Efficiency of the preconditioning cooling equipment. Only used for a shared mechanical ventilation system. If not provided, assumes no precooling.

mech_vent_shared_precooling_fraction_cool_load_served

false

Frac

Double

Fraction of cooling load introduced by the shared ventilation system that is met by the preconditioning cooling equipment. If not provided, assumes no precooling.

mech_vent_2_fan_type

true

Choice

none, exhaust only, supply only, energy recovery ventilator, heat recovery ventilator, balanced

The type of the second mechanical ventilation. Use ‘none’ if there is no second mechanical ventilation system.

mech_vent_2_flow_rate

true

CFM

Double

The flow rate of the second mechanical ventilation.

mech_vent_2_hours_in_operation

true

hrs/day

Double

The hours in operation of the second mechanical ventilation.

mech_vent_2_recovery_efficiency_type

true

Choice

Unadjusted, Adjusted

The total recovery efficiency type of the second mechanical ventilation.

mech_vent_2_total_recovery_efficiency

true

Frac

Double

The Unadjusted or Adjusted total recovery efficiency of the second mechanical ventilation. Applies to energy recovery ventilator.

mech_vent_2_sensible_recovery_efficiency

true

Frac

Double

The Unadjusted or Adjusted sensible recovery efficiency of the second mechanical ventilation. Applies to energy recovery ventilator and heat recovery ventilator.

mech_vent_2_fan_power

true

W

Double

The fan power of the second mechanical ventilation.

whole_house_fan_present

true

Boolean

true, false

Whether there is a whole house fan.

whole_house_fan_flow_rate

false

CFM

Double

auto

The flow rate of the whole house fan. If not provided, the OS-HPXML default (see HPXML Whole House Fans) is used.

whole_house_fan_power

false

W

Double

auto

The fan power of the whole house fan. If not provided, the OS-HPXML default (see HPXML Whole House Fans) is used.

Options

From project_national the list of options, option stock saturation, and option arguments for the Mechanical Ventilation characteristic.

Option name

Stock saturation

mech_vent_fan_type

mech_vent_flow_rate

mech_vent_hours_in_operation

mech_vent_recovery_efficiency_type

mech_vent_total_recovery_efficiency

mech_vent_sensible_recovery_efficiency

mech_vent_fan_power

mech_vent_num_units_served

mech_vent_shared_frac_recirculation

mech_vent_shared_preheating_fuel

mech_vent_shared_preheating_efficiency

mech_vent_shared_preheating_fraction_heat_load_served

mech_vent_shared_precooling_fuel

mech_vent_shared_precooling_efficiency

mech_vent_shared_precooling_fraction_cool_load_served

mech_vent_2_fan_type

mech_vent_2_flow_rate

mech_vent_2_hours_in_operation

mech_vent_2_recovery_efficiency_type

mech_vent_2_total_recovery_efficiency

mech_vent_2_sensible_recovery_efficiency

mech_vent_2_fan_power

whole_house_fan_present

whole_house_fan_flow_rate

whole_house_fan_power

None

100%

none

0

0

Unadjusted

0

0

0

0

auto

auto

auto

auto

auto

auto

auto

none

0

0

Unadjusted

0

0

0

false

0

0

Metropolitan and Micropolitan Statistical Area

Description

The U.S. Metropolitan Statistical Area (MSA) or Micropolitan Statistical Area (MicroSA) that the sample is located.

Created by

sources/spatial/tsv_maker.py

Source

  • Spatial definitions are from the U.S. Census Bureau as of July 1, 2015.

  • Unit counts are from the American Community Survey 5-yr 2016.

  • County-MSA crosswalk comes from the Quarterly Census of Employment and Wages NAICS-based data between 2013-2022 by the U.S. Bureau of Labor Statistics (https://www.bls.gov/cew/classifications/areas/county-msa-csa-crosswalk.htm)

  • According to the U.S. Census, each metropolitan statistical area must have at least one urban area of 50,000 or more inhabitants

  • According to the U.S. Census, each micropolitan statistical area must have at least one urban area of at least 10,000 but less than 50,000 population.

Options

From project_national the list of options, option stock saturation, and option arguments for the Metropolitan and Micropolitan Statistical Area characteristic.

Option name

Stock saturation

Aberdeen, SD MicroSA

0.014%

Aberdeen, WA MicroSA

0.026%

Abilene, TX MSA

0.053%

Ada, OK MicroSA

0.012%

Adrian, MI MicroSA

0.032%

Akron, OH MSA

0.23%

Alamogordo, NM MicroSA

0.023%

Albany-Schenectady-Troy, NY MSA

0.3%

Albany, GA MSA

0.05%

Albany, OR MSA

0.037%

Albemarle, NC MicroSA

0.02%

Albert Lea, MN MicroSA

0.011%

Albertville, AL MicroSA

0.03%

Albuquerque, NM MSA

0.28%

Alexandria, LA MSA

0.049%

Alexandria, MN MicroSA

0.015%

Alice, TX MicroSA

0.012%

Allentown-Bethlehem-Easton, PA-NJ MSA

0.26%

Alma, MI MicroSA

0.012%

Alpena, MI MicroSA

0.012%

Altoona, PA MSA

0.042%

Altus, OK MicroSA

0.0091%

Amarillo, TX MSA

0.08%

Americus, GA MicroSA

0.012%

Ames, IA MSA

0.028%

Amsterdam, NY MicroSA

0.017%

Anchorage, AK MSA

0.12%

Andrews, TX MicroSA

0.0045%

Angola, IN MicroSA

0.015%

Ann Arbor, MI MSA

0.11%

Anniston-Oxford-Jacksonville, AL MSA

0.04%

Appleton, WI MSA

0.071%

Arcadia, FL MicroSA

0.011%

Ardmore, OK MicroSA

0.016%

Arkadelphia, AR MicroSA

0.0078%

Arkansas City-Winfield, KS MicroSA

0.012%

Asheville, NC MSA

0.16%

Ashland, OH MicroSA

0.016%

Ashtabula, OH MicroSA

0.034%

Astoria, OR MicroSA

0.016%

Atchison, KS MicroSA

0.0052%

Athens-Clarke County, GA MSA

0.062%

Athens, OH MicroSA

0.02%

Athens, TN MicroSA

0.017%

Athens, TX MicroSA

0.03%

Atlanta-Sandy Springs-Roswell, GA MSA

1.7%

Atlantic City-Hammonton, NJ MSA

0.095%

Auburn-Opelika, AL MSA

0.049%

Auburn, IN MicroSA

0.013%

Auburn, NY MicroSA

0.027%

Augusta-Richmond County, GA-SC MSA

0.19%

Augusta-Waterville, ME MicroSA

0.046%

Austin-Round Rock, TX MSA

0.57%

Austin, MN MicroSA

0.013%

Bainbridge, GA MicroSA

0.009%

Bakersfield, CA MSA

0.22%

Baltimore-Columbia-Towson, MD MSA

0.86%

Bangor, ME MSA

0.055%

Baraboo, WI MicroSA

0.022%

Bardstown, KY MicroSA

0.014%

Barnstable Town, MA MSA

0.12%

Barre, VT MicroSA

0.022%

Bartlesville, OK MicroSA

0.018%

Bastrop, LA MicroSA

0.0093%

Batavia, NY MicroSA

0.019%

Batesville, AR MicroSA

0.012%

Baton Rouge, LA MSA

0.26%

Battle Creek, MI MSA

0.045%

Bay City, MI MSA

0.036%

Bay City, TX MicroSA

0.014%

Beatrice, NE MicroSA

0.0078%

Beaumont-Port Arthur, TX MSA

0.13%

Beaver Dam, WI MicroSA

0.028%

Beckley, WV MSA

0.043%

Bedford, IN MicroSA

0.016%

Beeville, TX MicroSA

0.0079%

Bellefontaine, OH MicroSA

0.017%

Bellingham, WA MSA

0.069%

Bemidji, MN MicroSA

0.016%

Bend-Redmond, OR MSA

0.062%

Bennettsville, SC MicroSA

0.0089%

Bennington, VT MicroSA

0.016%

Berlin, NH-VT MicroSA

0.02%

Big Rapids, MI MicroSA

0.016%

Big Spring, TX MicroSA

0.01%

Big Stone Gap, VA MicroSA

0.02%

Billings, MT MSA

0.055%

Binghamton, NY MSA

0.084%

Birmingham-Hoover, AL MSA

0.38%

Bismarck, ND MSA

0.042%

Blackfoot, ID MicroSA

0.012%

Blacksburg-Christiansburg-Radford, VA MSA

0.059%

Bloomington, IL MSA

0.059%

Bloomington, IN MSA

0.052%

Bloomsburg-Berwick, PA MSA

0.028%

Bluefield, WV-VA MicroSA

0.038%

Blytheville, AR MicroSA

0.015%

Bogalusa, LA MicroSA

0.016%

Boise City, ID MSA

0.19%

Boone, IA MicroSA

0.0088%

Boone, NC MicroSA

0.025%

Borger, TX MicroSA

0.0079%

Boston-Cambridge-Newton, MA-NH MSA

1.4%

Boulder, CO MSA

0.098%

Bowling Green, KY MSA

0.053%

Bozeman, MT MicroSA

0.034%

Bradford, PA MicroSA

0.016%

Brainerd, MN MicroSA

0.049%

Branson, MO MicroSA

0.038%

Breckenridge, CO MicroSA

0.023%

Bremerton-Silverdale, WA MSA

0.081%

Brenham, TX MicroSA

0.012%

Brevard, NC MicroSA

0.014%

Bridgeport-Stamford-Norwalk, CT MSA

0.27%

Brookhaven, MS MicroSA

0.011%

Brookings, OR MicroSA

0.0094%

Brookings, SD MicroSA

0.01%

Brownsville-Harlingen, TX MSA

0.11%

Brownwood, TX MicroSA

0.014%

Brunswick, GA MSA

0.044%

Bucyrus, OH MicroSA

0.015%

Buffalo-Cheektowaga-Niagara Falls, NY MSA

0.39%

Burley, ID MicroSA

0.012%

Burlington-South Burlington, VT MSA

0.071%

Burlington, IA-IL MicroSA

0.017%

Burlington, NC MSA

0.051%

Butte-Silver Bow, MT MicroSA

0.013%

Cadillac, MI MicroSA

0.019%

Calhoun, GA MicroSA

0.017%

California-Lexington Park, MD MSA

0.032%

Cambridge, MD MicroSA

0.012%

Cambridge, OH MicroSA

0.014%

Camden, AR MicroSA

0.012%

Campbellsville, KY MicroSA

0.0082%

Canon City, CO MicroSA

0.014%

Canton-Massillon, OH MSA

0.13%

Canton, IL MicroSA

0.012%

Cape Coral-Fort Myers, FL MSA

0.28%

Cape Girardeau, MO-IL MSA

0.032%

Carbondale-Marion, IL MSA

0.044%

Carlsbad-Artesia, NM MicroSA

0.017%

Carson City, NV MSA

0.017%

Casper, WY MSA

0.027%

Cedar City, UT MicroSA

0.015%

Cedar Rapids, IA MSA

0.086%

Cedartown, GA MicroSA

0.013%

Celina, OH MicroSA

0.013%

Centralia, IL MicroSA

0.014%

Centralia, WA MicroSA

0.025%

Chambersburg-Waynesboro, PA MSA

0.048%

Champaign-Urbana, IL MSA

0.077%

Charleston-Mattoon, IL MicroSA

0.021%

Charleston-North Charleston, SC MSA

0.23%

Charleston, WV MSA

0.081%

Charlotte-Concord-Gastonia, NC-SC MSA

0.73%

Charlottesville, VA MSA

0.075%

Chattanooga, TN-GA MSA

0.18%

Cheyenne, WY MSA

0.031%

Chicago-Naperville-Elgin, IL-IN-WI MSA

2.8%

Chico, CA MSA

0.073%

Chillicothe, OH MicroSA

0.024%

Cincinnati, OH-KY-IN MSA

0.69%

Claremont-Lebanon, NH-VT MicroSA

0.092%

Clarksburg, WV MicroSA

0.032%

Clarksdale, MS MicroSA

0.008%

Clarksville, TN-KY MSA

0.085%

Clearlake, CA MicroSA

0.027%

Cleveland-Elyria, OH MSA

0.71%

Cleveland, MS MicroSA

0.011%

Cleveland, TN MSA

0.038%

Clewiston, FL MicroSA

0.011%

Clinton, IA MicroSA

0.016%

Clovis, NM MicroSA

0.015%

Coeur d’Alene, ID MSA

0.049%

Coffeyville, KS MicroSA

0.012%

Coldwater, MI MicroSA

0.015%

College Station-Bryan, TX MSA

0.075%

Colorado Springs, CO MSA

0.21%

Columbia, MO MSA

0.055%

Columbia, SC MSA

0.26%

Columbus, GA-AL MSA

0.098%

Columbus, IN MSA

0.025%

Columbus, MS MicroSA

0.02%

Columbus, NE MicroSA

0.01%

Columbus, OH MSA

0.63%

Concord, NH MicroSA

0.048%

Connersville, IN MicroSA

0.0081%

Cookeville, TN MicroSA

0.037%

Coos Bay, OR MicroSA

0.023%

Cordele, GA MicroSA

0.008%

Corinth, MS MicroSA

0.013%

Cornelia, GA MicroSA

0.014%

Corning, NY MicroSA

0.036%

Corpus Christi, TX MSA

0.14%

Corsicana, TX MicroSA

0.015%

Cortland, NY MicroSA

0.015%

Corvallis, OR MSA

0.028%

Coshocton, OH MicroSA

0.012%

Craig, CO MicroSA

0.0046%

Crawfordsville, IN MicroSA

0.012%

Crescent City, CA MicroSA

0.0084%

Crestview-Fort Walton Beach-Destin, FL MSA

0.11%

Crossville, TN MicroSA

0.021%

Cullman, AL MicroSA

0.028%

Cullowhee, NC MicroSA

0.02%

Cumberland, MD-WV MSA

0.035%

Dallas-Fort Worth-Arlington, TX MSA

2%

Dalton, GA MSA

0.041%

Danville, IL MSA

0.027%

Danville, KY MicroSA

0.017%

Danville, VA MicroSA

0.04%

Daphne-Fairhope-Foley, AL MSA

0.08%

Davenport-Moline-Rock Island, IA-IL MSA

0.13%

Dayton, OH MSA

0.27%

Dayton, TN MicroSA

0.011%

Decatur, AL MSA

0.05%

Decatur, IL MSA

0.038%

Decatur, IN MicroSA

0.0098%

Defiance, OH MicroSA

0.012%

Del Rio, TX MicroSA

0.014%

Deltona-Daytona Beach-Ormond Beach, FL MSA

0.23%

Deming, NM MicroSA

0.0082%

Denver-Aurora-Lakewood, CO MSA

0.83%

DeRidder, LA MicroSA

0.011%

Des Moines-West Des Moines, IA MSA

0.19%

Detroit-Warren-Dearborn, MI MSA

1.4%

Dickinson, ND MicroSA

0.01%

Dixon, IL MicroSA

0.011%

Dodge City, KS MicroSA

0.009%

Dothan, AL MSA

0.051%

Douglas, GA MicroSA

0.013%

Dover, DE MSA

0.051%

Dublin, GA MicroSA

0.019%

DuBois, PA MicroSA

0.029%

Dubuque, IA MSA

0.03%

Duluth, MN-WI MSA

0.11%

Dumas, TX MicroSA

0.0059%

Duncan, OK MicroSA

0.015%

Dunn, NC MicroSA

0.037%

Durango, CO MicroSA

0.02%

Durant, OK MicroSA

0.015%

Durham-Chapel Hill, NC MSA

0.17%

Dyersburg, TN MicroSA

0.013%

Eagle Pass, TX MicroSA

0.013%

East Stroudsburg, PA MSA

0.06%

Easton, MD MicroSA

0.015%

Eau Claire, WI MSA

0.053%

Edwards, CO MicroSA

0.024%

Effingham, IL MicroSA

0.011%

El Campo, TX MicroSA

0.013%

El Centro, CA MSA

0.042%

El Dorado, AR MicroSA

0.015%

El Paso, TX MSA

0.21%

Elizabeth City, NC MicroSA

0.021%

Elizabethtown-Fort Knox, KY MSA

0.048%

Elk City, OK MicroSA

0.0074%

Elkhart-Goshen, IN MSA

0.058%

Elkins, WV MicroSA

0.011%

Elko, NV MicroSA

0.016%

Ellensburg, WA MicroSA

0.017%

Elmira, NY MSA

0.029%

Emporia, KS MicroSA

0.011%

Enid, OK MicroSA

0.02%

Enterprise, AL MicroSA

0.017%

Erie, PA MSA

0.089%

Escanaba, MI MicroSA

0.015%

Espanola, NM MicroSA

0.015%

Eugene, OR MSA

0.12%

Eureka-Arcata-Fortuna, CA MicroSA

0.047%

Evanston, WY MicroSA

0.0065%

Evansville, IN-KY MSA

0.1%

Fairbanks, AK MSA

0.031%

Fairfield, IA MicroSA

0.0056%

Fairmont, WV MicroSA

0.02%

Fallon, NV MicroSA

0.008%

Fargo, ND-MN MSA

0.075%

Faribault-Northfield, MN MicroSA

0.018%

Farmington, MO MicroSA

0.022%

Farmington, NM MSA

0.037%

Fayetteville-Springdale-Rogers, AR-MO MSA

0.15%

Fayetteville, NC MSA

0.12%

Fergus Falls, MN MicroSA

0.027%

Fernley, NV MicroSA

0.017%

Findlay, OH MicroSA

0.025%

Fitzgerald, GA MicroSA

0.0059%

Flagstaff, AZ MSA

0.048%

Flint, MI MSA

0.14%

Florence-Muscle Shoals, AL MSA

0.053%

Florence, SC MSA

0.067%

Fond du Lac, WI MSA

0.033%

Forest City, NC MicroSA

0.025%

Forrest City, AR MicroSA

0.0081%

Fort Collins, CO MSA

0.1%

Fort Dodge, IA MicroSA

0.013%

Fort Leonard Wood, MO MicroSA

0.014%

Fort Madison-Keokuk, IA-IL-MO MicroSA

0.022%

Fort Morgan, CO MicroSA

0.0086%

Fort Polk South, LA MicroSA

0.016%

Fort Smith, AR-OK MSA

0.092%

Fort Wayne, IN MSA

0.13%

Frankfort, IN MicroSA

0.0099%

Frankfort, KY MicroSA

0.024%

Fredericksburg, TX MicroSA

0.0096%

Freeport, IL MicroSA

0.016%

Fremont, NE MicroSA

0.012%

Fremont, OH MicroSA

0.02%

Fresno, CA MSA

0.24%

Gadsden, AL MSA

0.035%

Gaffney, SC MicroSA

0.018%

Gainesville, FL MSA

0.091%

Gainesville, GA MSA

0.052%

Gainesville, TX MicroSA

0.012%

Galesburg, IL MicroSA

0.018%

Gallup, NM MicroSA

0.019%

Garden City, KS MicroSA

0.011%

Gardnerville Ranchos, NV MicroSA

0.018%

Georgetown, SC MicroSA

0.025%

Gettysburg, PA MSA

0.031%

Gillette, WY MicroSA

0.015%

Glasgow, KY MicroSA

0.018%

Glens Falls, NY MSA

0.051%

Glenwood Springs, CO MicroSA

0.027%

Gloversville, NY MicroSA

0.021%

Goldsboro, NC MSA

0.04%

Grand Forks, ND-MN MSA

0.034%

Grand Island, NE MSA

0.026%

Grand Junction, CO MSA

0.048%

Grand Rapids-Wyoming, MI MSA

0.31%

Grants Pass, OR MSA

0.028%

Grants, NM MicroSA

0.0083%

Great Bend, KS MicroSA

0.0094%

Great Falls, MT MSA

0.028%

Greeley, CO MSA

0.075%

Green Bay, WI MSA

0.1%

Greeneville, TN MicroSA

0.024%

Greenfield Town, MA MicroSA

0.025%

Greensboro-High Point, NC MSA

0.24%

Greensburg, IN MicroSA

0.0084%

Greenville-Anderson-Mauldin, SC MSA

0.28%

Greenville, MS MicroSA

0.016%

Greenville, NC MSA

0.057%

Greenville, OH MicroSA

0.017%

Greenwood, MS MicroSA

0.014%

Greenwood, SC MicroSA

0.032%

Grenada, MS MicroSA

0.0076%

Gulfport-Biloxi-Pascagoula, MS MSA

0.13%

Guymon, OK MicroSA

0.0061%

Hagerstown-Martinsburg, MD-WV MSA

0.08%

Hailey, ID MicroSA

0.013%

Hammond, LA MSA

0.039%

Hanford-Corcoran, CA MSA

0.034%

Hannibal, MO MicroSA

0.013%

Harrisburg-Carlisle, PA MSA

0.18%

Harrison, AR MicroSA

0.016%

Harrisonburg, VA MSA

0.039%

Hartford-West Hartford-East Hartford, CT MSA

0.38%

Hastings, NE MicroSA

0.01%

Hattiesburg, MS MSA

0.047%

Hays, KS MicroSA

0.0097%

Heber, UT MicroSA

0.0087%

Helena-West Helena, AR MicroSA

0.0076%

Helena, MT MicroSA

0.027%

Henderson, NC MicroSA

0.015%

Hereford, TX MicroSA

0.0053%

Hermiston-Pendleton, OR MicroSA

0.026%

Hickory-Lenoir-Morganton, NC MSA

0.12%

Hillsdale, MI MicroSA

0.016%

Hilo, HI MicroSA

0.064%

Hilton Head Island-Bluffton-Beaufort, SC MSA

0.079%

Hinesville, GA MSA

0.025%

Hobbs, NM MicroSA

0.019%

Holland, MI MicroSA

0.037%

Homosassa Springs, FL MSA

0.058%

Hood River, OR MicroSA

0.0071%

Hot Springs, AR MSA

0.038%

Houghton, MI MicroSA

0.016%

Houma-Thibodaux, LA MSA

0.063%

Houston-The Woodlands-Sugar Land, TX MSA

1.8%

Hudson, NY MicroSA

0.025%

Huntingdon, PA MicroSA

0.017%

Huntington-Ashland, WV-KY-OH MSA

0.12%

Huntington, IN MicroSA

0.012%

Huntsville, AL MSA

0.14%

Huntsville, TX MicroSA

0.025%

Huron, SD MicroSA

0.0062%

Hutchinson, KS MicroSA

0.021%

Hutchinson, MN MicroSA

0.012%

Idaho Falls, ID MSA

0.038%

Indiana, PA MicroSA

0.029%

Indianapolis-Carmel-Anderson, IN MSA

0.62%

Indianola, MS MicroSA

0.0072%

Ionia, MI MicroSA

0.018%

Iowa City, IA MSA

0.052%

Iron Mountain, MI-WI MicroSA

0.014%

Ithaca, NY MSA

0.031%

Jackson, MI MSA

0.052%

Jackson, MS MSA

0.18%

Jackson, OH MicroSA

0.011%

Jackson, TN MSA

0.042%

Jackson, WY-ID MicroSA

0.014%

Jacksonville, FL MSA

0.46%

Jacksonville, IL MicroSA

0.013%

Jacksonville, NC MSA

0.056%

Jacksonville, TX MicroSA

0.016%

Jamestown-Dunkirk-Fredonia, NY MicroSA

0.05%

Jamestown, ND MicroSA

0.0075%

Janesville-Beloit, WI MSA

0.051%

Jasper, IN MicroSA

0.017%

Jefferson City, MO MSA

0.048%

Jefferson, GA MicroSA

0.018%

Jesup, GA MicroSA

0.009%

Johnson City, TN MSA

0.071%

Johnstown, PA MSA

0.049%

Jonesboro, AR MSA

0.04%

Joplin, MO MSA

0.056%

Junction City, KS MicroSA

0.011%

Juneau, AK MicroSA

0.0099%

Kahului-Wailuku-Lahaina, HI MSA

0.053%

Kalamazoo-Portage, MI MSA

0.11%

Kalispell, MT MicroSA

0.035%

Kankakee, IL MSA

0.034%

Kansas City, MO-KS MSA

0.66%

Kapaa, HI MicroSA

0.023%

Kearney, NE MicroSA

0.017%

Keene, NH MicroSA

0.026%

Kendallville, IN MicroSA

0.015%

Kennett, MO MicroSA

0.011%

Kennewick-Richland, WA MSA

0.074%

Kerrville, TX MicroSA

0.018%

Ketchikan, AK MicroSA

0.0047%

Key West, FL MicroSA

0.04%

Kill Devil Hills, NC MicroSA

0.027%

Killeen-Temple, TX MSA

0.13%

Kingsport-Bristol-Bristol, TN-VA MSA

0.11%

Kingston, NY MSA

0.062%

Kingsville, TX MicroSA

0.01%

Kinston, NC MicroSA

0.02%

Kirksville, MO MicroSA

0.01%

Klamath Falls, OR MicroSA

0.024%

Knoxville, TN MSA

0.29%

Kokomo, IN MSA

0.029%

La Crosse-Onalaska, WI-MN MSA

0.043%

La Grande, OR MicroSA

0.0086%

Laconia, NH MicroSA

0.028%

Lafayette-West Lafayette, IN MSA

0.065%

Lafayette, LA MSA

0.15%

LaGrange, GA MicroSA

0.021%

Lake Charles, LA MSA

0.067%

Lake City, FL MicroSA

0.021%

Lake Havasu City-Kingman, AZ MSA

0.084%

Lakeland-Winter Haven, FL MSA

0.21%

Lamesa, TX MicroSA

0.0039%

Lancaster, PA MSA

0.15%

Lansing-East Lansing, MI MSA

0.15%

Laramie, WY MicroSA

0.014%

Laredo, TX MSA

0.058%

Las Cruces, NM MSA

0.063%

Las Vegas-Henderson-Paradise, NV MSA

0.64%

Las Vegas, NM MicroSA

0.012%

Laurel, MS MicroSA

0.027%

Laurinburg, NC MicroSA

0.011%

Lawrence, KS MSA

0.036%

Lawrenceburg, TN MicroSA

0.014%

Lawton, OK MSA

0.041%

Lebanon, MO MicroSA

0.012%

Lebanon, PA MSA

0.042%

Levelland, TX MicroSA

0.0069%

Lewisburg, PA MicroSA

0.013%

Lewisburg, TN MicroSA

0.0099%

Lewiston-Auburn, ME MSA

0.037%

Lewiston, ID-WA MSA

0.02%

Lewistown, PA MicroSA

0.016%

Lexington-Fayette, KY MSA

0.16%

Lexington, NE MicroSA

0.0085%

Liberal, KS MicroSA

0.0061%

Lima, OH MSA

0.033%

Lincoln, IL MicroSA

0.0089%

Lincoln, NE MSA

0.099%

Little Rock-North Little Rock-Conway, AR MSA

0.24%

Lock Haven, PA MicroSA

0.014%

Logan, UT-ID MSA

0.033%

Logan, WV MicroSA

0.012%

Logansport, IN MicroSA

0.012%

London, KY MicroSA

0.041%

Longview, TX MSA

0.067%

Longview, WA MSA

0.032%

Los Alamos, NM MicroSA

0.0062%

Los Angeles-Long Beach-Anaheim, CA MSA

3.4%

Louisville/Jefferson County, KY-IN MSA

0.41%

Lubbock, TX MSA

0.095%

Ludington, MI MicroSA

0.013%

Lufkin, TX MicroSA

0.027%

Lumberton, NC MicroSA

0.039%

Lynchburg, VA MSA

0.085%

Macomb, IL MicroSA

0.011%

Macon, GA MSA

0.076%

Madera, CA MSA

0.037%

Madison, IN MicroSA

0.011%

Madison, WI MSA

0.21%

Madisonville, KY MicroSA

0.016%

Magnolia, AR MicroSA

0.0086%

Malone, NY MicroSA

0.019%

Malvern, AR MicroSA

0.011%

Manchester-Nashua, NH MSA

0.13%

Manhattan, KS MSA

0.029%

Manitowoc, WI MicroSA

0.028%

Mankato-North Mankato, MN MSA

0.03%

Mansfield, OH MSA

0.04%

Marietta, OH MicroSA

0.021%

Marinette, WI-MI MicroSA

0.033%

Marion, IN MicroSA

0.023%

Marion, NC MicroSA

0.016%

Marion, OH MicroSA

0.021%

Marquette, MI MicroSA

0.026%

Marshall, MN MicroSA

0.0083%

Marshall, MO MicroSA

0.0075%

Marshall, TX MicroSA

0.021%

Marshalltown, IA MicroSA

0.012%

Martin, TN MicroSA

0.012%

Martinsville, VA MicroSA

0.025%

Maryville, MO MicroSA

0.0072%

Mason City, IA MicroSA

0.019%

Mayfield, KY MicroSA

0.012%

Maysville, KY MicroSA

0.0061%

McAlester, OK MicroSA

0.017%

McAllen-Edinburg-Mission, TX MSA

0.2%

McComb, MS MicroSA

0.018%

McMinnville, TN MicroSA

0.013%

McPherson, KS MicroSA

0.0096%

Meadville, PA MicroSA

0.033%

Medford, OR MSA

0.069%

Memphis, TN-MS-AR MSA

0.42%

Menomonie, WI MicroSA

0.013%

Merced, CA MSA

0.063%

Meridian, MS MicroSA

0.035%

Merrill, WI MicroSA

0.013%

Mexico, MO MicroSA

0.0081%

Miami-Fort Lauderdale-West Palm Beach, FL MSA

1.9%

Miami, OK MicroSA

0.01%

Michigan City-La Porte, IN MSA

0.036%

Middlesborough, KY MicroSA

0.0098%

Midland, MI MSA

0.027%

Midland, TX MSA

0.045%

Milledgeville, GA MicroSA

0.019%

Milwaukee-Waukesha-West Allis, WI MSA

0.5%

Mineral Wells, TX MicroSA

0.011%

Minneapolis-St. Paul-Bloomington, MN-WI MSA

1.1%

Minot, ND MicroSA

0.027%

Missoula, MT MSA

0.038%

Mitchell, SD MicroSA

0.0077%

Moberly, MO MicroSA

0.008%

Mobile, AL MSA

0.14%

Modesto, CA MSA

0.13%

Monroe, LA MSA

0.058%

Monroe, MI MSA

0.047%

Montgomery, AL MSA

0.12%

Montrose, CO MicroSA

0.014%

Morehead City, NC MicroSA

0.037%

Morgan City, LA MicroSA

0.017%

Morgantown, WV MSA

0.044%

Morristown, TN MSA

0.038%

Moscow, ID MicroSA

0.012%

Moses Lake, WA MicroSA

0.027%

Moultrie, GA MicroSA

0.014%

Mount Airy, NC MicroSA

0.025%

Mount Pleasant, MI MicroSA

0.021%

Mount Pleasant, TX MicroSA

0.009%

Mount Sterling, KY MicroSA

0.016%

Mount Vernon-Anacortes, WA MSA

0.039%

Mount Vernon, IL MicroSA

0.013%

Mount Vernon, OH MicroSA

0.019%

Mountain Home, AR MicroSA

0.017%

Mountain Home, ID MicroSA

0.0091%

Muncie, IN MSA

0.039%

Murray, KY MicroSA

0.014%

Muscatine, IA MicroSA

0.013%

Muskegon, MI MSA

0.055%

Muskogee, OK MicroSA

0.023%

Myrtle Beach-Conway-North Myrtle Beach, SC-NC MSA

0.21%

Nacogdoches, TX MicroSA

0.021%

Napa, CA MSA

0.041%

Naples-Immokalee-Marco Island, FL MSA

0.15%

Nashville-Davidson–Murfreesboro–Franklin, TN MSA

0.55%

Natchez, MS-LA MicroSA

0.018%

Natchitoches, LA MicroSA

0.014%

New Bern, NC MSA

0.044%

New Castle, IN MicroSA

0.016%

New Castle, PA MicroSA

0.03%

New Haven-Milford, CT MSA

0.27%

New Orleans-Metairie, LA MSA

0.41%

New Philadelphia-Dover, OH MicroSA

0.03%

New Ulm, MN MicroSA

0.0086%

New York-Newark-Jersey City, NY-NJ-PA MSA

5.9%

Newberry, SC MicroSA

0.013%

Newport, OR MicroSA

0.023%

Newport, TN MicroSA

0.013%

Newton, IA MicroSA

0.012%

Niles-Benton Harbor, MI MSA

0.057%

Nogales, AZ MicroSA

0.014%

None

7.3%

Norfolk, NE MicroSA

0.016%

North Platte, NE MicroSA

0.013%

North Port-Sarasota-Bradenton, FL MSA

0.31%

North Vernon, IN MicroSA

0.009%

North Wilkesboro, NC MicroSA

0.025%

Norwalk, OH MicroSA

0.019%

Norwich-New London, CT MSA

0.091%

Oak Harbor, WA MicroSA

0.03%

Ocala, FL MSA

0.12%

Ocean City, NJ MSA

0.074%

Odessa, TX MSA

0.042%

Ogden-Clearfield, UT MSA

0.16%

Ogdensburg-Massena, NY MicroSA

0.039%

Oil City, PA MicroSA

0.02%

Okeechobee, FL MicroSA

0.014%

Oklahoma City, OK MSA

0.42%

Olean, NY MicroSA

0.031%

Olympia-Tumwater, WA MSA

0.083%

Omaha-Council Bluffs, NE-IA MSA

0.28%

Oneonta, NY MicroSA

0.023%

Ontario, OR-ID MicroSA

0.015%

Opelousas, LA MicroSA

0.027%

Orangeburg, SC MicroSA

0.031%

Orlando-Kissimmee-Sanford, FL MSA

0.73%

Oshkosh-Neenah, WI MSA

0.055%

Oskaloosa, IA MicroSA

0.0073%

Othello, WA MicroSA

0.0047%

Ottawa-Peru, IL MicroSA

0.051%

Ottawa, KS MicroSA

0.0083%

Ottumwa, IA MicroSA

0.015%

Owatonna, MN MicroSA

0.011%

Owensboro, KY MSA

0.038%

Owosso, MI MicroSA

0.022%

Oxford, MS MicroSA

0.018%

Oxford, NC MicroSA

0.017%

Oxnard-Thousand Oaks-Ventura, CA MSA

0.21%

Ozark, AL MicroSA

0.017%

Paducah, KY-IL MicroSA

0.035%

Pahrump, NV MicroSA

0.016%

Palatka, FL MicroSA

0.027%

Palestine, TX MicroSA

0.015%

Palm Bay-Melbourne-Titusville, FL MSA

0.2%

Pampa, TX MicroSA

0.0075%

Panama City, FL MSA

0.082%

Paragould, AR MicroSA

0.014%

Paris, TN MicroSA

0.013%

Paris, TX MicroSA

0.017%

Parkersburg-Vienna, WV MSA

0.032%

Parsons, KS MicroSA

0.0075%

Payson, AZ MicroSA

0.025%

Pecos, TX MicroSA

0.0035%

Pensacola-Ferry Pass-Brent, FL MSA

0.15%

Peoria, IL MSA

0.12%

Peru, IN MicroSA

0.011%

Philadelphia-Camden-Wilmington, PA-NJ-DE-MD MSA

1.8%

Phoenix-Mesa-Scottsdale, AZ MSA

1.4%

Picayune, MS MicroSA

0.018%

Pierre, SD MicroSA

0.0076%

Pine Bluff, AR MSA

0.031%

Pinehurst-Southern Pines, NC MicroSA

0.034%

Pittsburg, KS MicroSA

0.013%

Pittsburgh, PA MSA

0.83%

Pittsfield, MA MSA

0.051%

Plainview, TX MicroSA

0.01%

Platteville, WI MicroSA

0.016%

Plattsburgh, NY MicroSA

0.027%

Plymouth, IN MicroSA

0.015%

Pocatello, ID MSA

0.025%

Point Pleasant, WV-OH MicroSA

0.02%

Ponca City, OK MicroSA

0.016%

Pontiac, IL MicroSA

0.012%

Poplar Bluff, MO MicroSA

0.015%

Port Angeles, WA MicroSA

0.027%

Port Clinton, OH MicroSA

0.021%

Port Lavaca, TX MicroSA

0.0087%

Port St. Lucie, FL MSA

0.16%

Portales, NM MicroSA

0.0062%

Portland-South Portland, ME MSA

0.2%

Portland-Vancouver-Hillsboro, OR-WA MSA

0.71%

Portsmouth, OH MicroSA

0.025%

Pottsville, PA MicroSA

0.051%

Prescott, AZ MSA

0.084%

Price, UT MicroSA

0.0072%

Prineville, OR MicroSA

0.0077%

Providence-Warwick, RI-MA MSA

0.52%

Provo-Orem, UT MSA

0.12%

Pueblo, CO MSA

0.052%

Pullman, WA MicroSA

0.015%

Punta Gorda, FL MSA

0.076%

Quincy, IL-MO MicroSA

0.026%

Racine, WI MSA

0.061%

Raleigh, NC MSA

0.37%

Rapid City, SD MSA

0.047%

Raymondville, TX MicroSA

0.0053%

Reading, PA MSA

0.12%

Red Bluff, CA MicroSA

0.02%

Red Wing, MN MicroSA

0.015%

Redding, CA MSA

0.058%

Reno, NV MSA

0.14%

Rexburg, ID MicroSA

0.016%

Richmond-Berea, KY MicroSA

0.032%

Richmond, IN MicroSA

0.023%

Richmond, VA MSA

0.39%

Rio Grande City, TX MicroSA

0.015%

Riverside-San Bernardino-Ontario, CA MSA

1.1%

Riverton, WY MicroSA

0.013%

Roanoke Rapids, NC MicroSA

0.028%

Roanoke, VA MSA

0.11%

Rochelle, IL MicroSA

0.017%

Rochester, MN MSA

0.067%

Rochester, NY MSA

0.35%

Rock Springs, WY MicroSA

0.014%

Rockford, IL MSA

0.11%

Rockingham, NC MicroSA

0.016%

Rocky Mount, NC MSA

0.05%

Rolla, MO MicroSA

0.015%

Rome, GA MSA

0.03%

Roseburg, OR MicroSA

0.037%

Roswell, NM MicroSA

0.02%

Russellville, AR MicroSA

0.027%

Ruston, LA MicroSA

0.015%

Rutland, VT MicroSA

0.025%

Sacramento–Roseville–Arden-Arcade, CA MSA

0.66%

Safford, AZ MicroSA

0.0099%

Saginaw, MI MSA

0.065%

Salem, OH MicroSA

0.035%

Salem, OR MSA

0.11%

Salina, KS MicroSA

0.02%

Salinas, CA MSA

0.1%

Salisbury, MD-DE MSA

0.18%

Salt Lake City, UT MSA

0.3%

San Angelo, TX MSA

0.036%

San Antonio-New Braunfels, TX MSA

0.64%

San Diego-Carlsbad, CA MSA

0.89%

San Francisco-Oakland-Hayward, CA MSA

1.3%

San Jose-Sunnyvale-Santa Clara, CA MSA

0.5%

San Luis Obispo-Paso Robles-Arroyo Grande, CA MSA

0.089%

Sandpoint, ID MicroSA

0.018%

Sandusky, OH MicroSA

0.028%

Sanford, NC MicroSA

0.018%

Santa Cruz-Watsonville, CA MSA

0.079%

Santa Fe, NM MSA

0.054%

Santa Maria-Santa Barbara, CA MSA

0.12%

Santa Rosa, CA MSA

0.15%

Sault Ste. Marie, MI MicroSA

0.016%

Savannah, GA MSA

0.12%

Sayre, PA MicroSA

0.022%

Scottsbluff, NE MicroSA

0.013%

Scottsboro, AL MicroSA

0.018%

Scranton–Wilkes-Barre–Hazleton, PA MSA

0.19%

Searcy, AR MicroSA

0.025%

Seattle-Tacoma-Bellevue, WA MSA

1.1%

Sebastian-Vero Beach, FL MSA

0.058%

Sebring, FL MSA

0.041%

Sedalia, MO MicroSA

0.014%

Selinsgrove, PA MicroSA

0.012%

Selma, AL MicroSA

0.015%

Seneca Falls, NY MicroSA

0.012%

Seneca, SC MicroSA

0.029%

Sevierville, TN MicroSA

0.042%

Seymour, IN MicroSA

0.014%

Shawano, WI MicroSA

0.017%

Shawnee, OK MicroSA

0.022%

Sheboygan, WI MSA

0.038%

Shelby, NC MicroSA

0.032%

Shelbyville, TN MicroSA

0.014%

Shelton, WA MicroSA

0.024%

Sheridan, WY MicroSA

0.011%

Sherman-Denison, TX MSA

0.041%

Show Low, AZ MicroSA

0.043%

Shreveport-Bossier City, LA MSA

0.15%

Sidney, OH MicroSA

0.015%

Sierra Vista-Douglas, AZ MSA

0.045%

Sikeston, MO MicroSA

0.013%

Silver City, NM MicroSA

0.011%

Sioux City, IA-NE-SD MSA

0.052%

Sioux Falls, SD MSA

0.076%

Snyder, TX MicroSA

0.0054%

Somerset, KY MicroSA

0.023%

Somerset, PA MicroSA

0.028%

Sonora, CA MicroSA

0.023%

South Bend-Mishawaka, IN-MI MSA

0.11%

Spartanburg, SC MSA

0.1%

Spearfish, SD MicroSA

0.01%

Spencer, IA MicroSA

0.006%

Spirit Lake, IA MicroSA

0.0099%

Spokane-Spokane Valley, WA MSA

0.18%

Springfield, IL MSA

0.072%

Springfield, MA MSA

0.19%

Springfield, MO MSA

0.15%

Springfield, OH MSA

0.046%

St. Cloud, MN MSA

0.059%

St. George, UT MSA

0.047%

St. Joseph, MO-KS MSA

0.04%

St. Louis, MO-IL MSA

0.92%

St. Marys, GA MicroSA

0.016%

Starkville, MS MicroSA

0.016%

State College, PA MSA

0.048%

Statesboro, GA MicroSA

0.022%

Staunton-Waynesboro, VA MSA

0.04%

Steamboat Springs, CO MicroSA

0.012%

Stephenville, TX MicroSA

0.013%

Sterling, CO MicroSA

0.0067%

Sterling, IL MicroSA

0.019%

Stevens Point, WI MicroSA

0.023%

Stillwater, OK MicroSA

0.026%

Stockton-Lodi, CA MSA

0.18%

Storm Lake, IA MicroSA

0.0062%

Sturgis, MI MicroSA

0.021%

Sulphur Springs, TX MicroSA

0.011%

Summerville, GA MicroSA

0.0081%

Summit Park, UT MicroSA

0.02%

Sumter, SC MSA

0.035%

Sunbury, PA MicroSA

0.034%

Susanville, CA MicroSA

0.0095%

Sweetwater, TX MicroSA

0.0053%

Syracuse, NY MSA

0.22%

Tahlequah, OK MicroSA

0.016%

Talladega-Sylacauga, AL MicroSA

0.033%

Tallahassee, FL MSA

0.12%

Tampa-St. Petersburg-Clearwater, FL MSA

1%

Taos, NM MicroSA

0.015%

Taylorville, IL MicroSA

0.012%

Terre Haute, IN MSA

0.056%

Texarkana, TX-AR MSA

0.049%

The Dalles, OR MicroSA

0.0085%

The Villages, FL MSA

0.048%

Thomaston, GA MicroSA

0.009%

Thomasville, GA MicroSA

0.015%

Tiffin, OH MicroSA

0.018%

Tifton, GA MicroSA

0.012%

Toccoa, GA MicroSA

0.0093%

Toledo, OH MSA

0.2%

Topeka, KS MSA

0.078%

Torrington, CT MicroSA

0.065%

Traverse City, MI MicroSA

0.061%

Trenton, NJ MSA

0.11%

Troy, AL MicroSA

0.012%

Truckee-Grass Valley, CA MicroSA

0.04%

Tucson, AZ MSA

0.34%

Tullahoma-Manchester, TN MicroSA

0.034%

Tulsa, OK MSA

0.31%

Tupelo, MS MicroSA

0.044%

Tuscaloosa, AL MSA

0.078%

Twin Falls, ID MicroSA

0.03%

Tyler, TX MSA

0.066%

Ukiah, CA MicroSA

0.03%

Union City, TN-KY MicroSA

0.013%

Urban Honolulu, HI MSA

0.26%

Urbana, OH MicroSA

0.012%

Utica-Rome, NY MSA

0.1%

Uvalde, TX MicroSA

0.0082%

Valdosta, GA MSA

0.044%

Vallejo-Fairfield, CA MSA

0.12%

Valley, AL MicroSA

0.013%

Van Wert, OH MicroSA

0.0094%

Vermillion, SD MicroSA

0.0043%

Vernal, UT MicroSA

0.0097%

Vernon, TX MicroSA

0.0047%

Vicksburg, MS MicroSA

0.019%

Victoria, TX MSA

0.03%

Vidalia, GA MicroSA

0.012%

Vincennes, IN MicroSA

0.013%

Vineland-Bridgeton, NJ MSA

0.042%

Vineyard Haven, MA MicroSA

0.013%

Virginia Beach-Norfolk-Newport News, VA-NC MSA

0.53%

Visalia-Porterville, CA MSA

0.11%

Wabash, IN MicroSA

0.011%

Waco, TX MSA

0.079%

Wahpeton, ND-MN MicroSA

0.008%

Walla Walla, WA MSA

0.019%

Wapakoneta, OH MicroSA

0.015%

Warner Robins, GA MSA

0.057%

Warren, PA MicroSA

0.017%

Warrensburg, MO MicroSA

0.016%

Warsaw, IN MicroSA

0.028%

Washington-Arlington-Alexandria, DC-VA-MD-WV MSA

1.7%

Washington Court House, OH MicroSA

0.0095%

Washington, IN MicroSA

0.0093%

Washington, NC MicroSA

0.019%

Waterloo-Cedar Falls, IA MSA

0.054%

Watertown-Fort Atkinson, WI MicroSA

0.026%

Watertown-Fort Drum, NY MSA

0.044%

Watertown, SD MicroSA

0.0095%

Wauchula, FL MicroSA

0.0072%

Wausau, WI MSA

0.044%

Waycross, GA MicroSA

0.018%

Weatherford, OK MicroSA

0.0093%

Weirton-Steubenville, WV-OH MSA

0.043%

Wenatchee, WA MSA

0.039%

West Plains, MO MicroSA

0.013%

Wheeling, WV-OH MSA

0.052%

Whitewater-Elkhorn, WI MicroSA

0.039%

Wichita Falls, TX MSA

0.049%

Wichita, KS MSA

0.2%

Williamsport, PA MSA

0.039%

Williston, ND MicroSA

0.012%

Willmar, MN MicroSA

0.015%

Wilmington, NC MSA

0.099%

Wilmington, OH MicroSA

0.013%

Wilson, NC MicroSA

0.027%

Winchester, VA-WV MSA

0.043%

Winnemucca, NV MicroSA

0.0054%

Winona, MN MicroSA

0.016%

Winston-Salem, NC MSA

0.22%

Wisconsin Rapids-Marshfield, WI MicroSA

0.026%

Woodward, OK MicroSA

0.0067%

Wooster, OH MicroSA

0.034%

Worcester, MA-CT MSA

0.28%

Worthington, MN MicroSA

0.0064%

Yakima, WA MSA

0.064%

Yankton, SD MicroSA

0.0073%

York-Hanover, PA MSA

0.13%

Youngstown-Warren-Boardman, OH-PA MSA

0.19%

Yuba City, CA MSA

0.046%

Yuma, AZ MSA

0.067%

Zanesville, OH MicroSA

0.028%

Zapata, TX MicroSA

0.0046%

Misc Extra Refrigerator

Description

The presence and rated efficiency of the secondary refrigerator.

Created by

sources/recs/recs2020/tsv_maker.py

Source

  • U.S. EIA 2020 Residential Energy Consumption Survey (RECS) microdata.

  • Age of refrigerator converted to efficiency levels using ENERGYSTAR shipment-weighted efficiencies by year data from Home Energy Score: http://hes-documentation.lbl.gov/. Check the comments in: HES-Refrigerator_Age_vs_Efficiency.tsv

Assumption

  • The current year is assumed to be 2022

  • Previously, for each year, the EF values were rounded to the nearest EF level, and then the distribution of EF levels were calculated for the age bins. Currently, each year has its own distribution and then we average out the distributions to get the distribution for the age bins. EF for all years are weighted equally when calculating the average distribution for the age bins.

  • EnergyStar distributions from 2009 dependent on [Geometry Building Type RECS,Federal Poverty Level,Tenure] is used to calculate efficiency distribution in RECS2020.EnergyStar Refrigerators assumed to be 10% more efficient than standard.Due to low sample count, the tsv is constructed by downscaling a dwelling unit sub-tsv with a household sub-tsv. The sub-tsvs have the following dependencies:

  • Dwelling unit sub-tsv : deps=[‘Geometry Building Type RECS’, ‘State’, ‘Vintage’] with the following fallback coarsening order

    • [1] State coarsened to Census Division RECS with AK/HI separate

    • [2] Geometry Building Type RECS coarsened to SF/MF/MH

    • [3] Geometry Building Type RECS coarsened to SF and MH/MF

    • [4] Vintage with Vintage ACS

    • [5] Vintage with combined 1960s

    • [6] Vintage with combined 1960s and post 200ss

    • [7] Census Division RECS with AK/HI separate coarsened to Census Division RECS

    • [8] Census Division RECS to Census Region

    • [9] Census Region to National

  • Household sub-tsv : deps=[‘Geometry Building Type RECS’, ‘State’ ‘Tenure’, ‘Federal Poverty Level’] with the following fallback coarsening order

    • [1] State coarsened to Census Division RECS with AK/HI separate

    • [2] Geometry Building Type RECS coarsened to SF/MF/MH

    • [3] Geometry Building Type RECS coarsened to SF and MH/MF

    • [4] Federal Poverty Level coarsened every 100 percent

    • [5] Federal Poverty Level coarsened every 200 percent

    • [6] Census Division RECS with AK/HI separate coarsened to Census Division RECS

    • [7] Census Division RECS to Census Region

    • [8] Census Region to National

  • In combining the dwelling unit sub-tsv and household sub-tsv, the conditional relationships are ignored across (‘Heating Fuel’, [‘Tenure’, ‘Federal Poverty Level’]).

Arguments

Name

Required

Units

Type

Choices

Description

extra_refrigerator_present

true

Boolean

true, false

Whether there is an extra refrigerator present.

extra_refrigerator_location

false

Choice

auto, conditioned space, basement - conditioned, basement - unconditioned, garage, other housing unit, other heated space, other multifamily buffer space, other non-freezing space

The space type for the extra refrigerator location. If not provided, the OS-HPXML default (see HPXML Refrigerators) is used.

extra_refrigerator_rated_annual_kwh

false

kWh/yr

Double

auto

The EnergyGuide rated annual energy consumption for an extra refrigerator. If not provided, the OS-HPXML default (see HPXML Refrigerators) is used.

Options

From project_national the list of options, option stock saturation, and option arguments for the Misc Extra Refrigerator characteristic.

Option name

Stock saturation

extra_refrigerator_present

extra_refrigerator_location

extra_refrigerator_rated_annual_kwh

EF 6.7

1.9%

true

auto

1139

EF 10.2

0.31%

true

auto

748

EF 10.5

0.84%

true

auto

727

EF 15.9

4.5%

true

auto

480

EF 17.6

11%

true

auto

433

EF 19.9

6.9%

true

auto

383

EF 21.9

0.47%

true

auto

348

None

74%

false

auto

0

Void

0%

Misc Freezer

Description

The presence and rated efficiency of a standalone freezer.

Created by

sources/recs/recs2020/tsv_maker.py

Source

  • U.S. EIA 2020 Residential Energy Consumption Survey (RECS) microdata.

Assumption

  • The national average EF is 12 based on the 2014 BA house simulation protocols

  • Due to low sample count, the tsv is constructed with the following fallback coarsening order

    • [1] State coarsened to Census Division RECS with AK/HI separate

    • [2] Geometry Building Type RECS coarsened to SF/MF/MH

    • [3] Geometry Building Type RECS coarsened to SF and MH/MF

    • [4] Federal Poverty Level coarsened every 100 percent

    • [5] Federal Poverty Level coarsened every 200 percent

    • [6] Census Division RECS with AK/HI separate coarsened to Census Division RECS

    • [7] Census Division RECS to Census Region

    • [8] Census Region to National

Arguments

Name

Required

Units

Type

Choices

Description

freezer_present

true

Boolean

true, false

Whether there is a freezer present.

freezer_location

false

Choice

auto, conditioned space, basement - conditioned, basement - unconditioned, garage, other housing unit, other heated space, other multifamily buffer space, other non-freezing space

The space type for the freezer location. If not provided, the OS-HPXML default (see HPXML Freezers) is used.

freezer_rated_annual_kwh

false

kWh/yr

Double

auto

The EnergyGuide rated annual energy consumption for a freezer. If not provided, the OS-HPXML default (see HPXML Freezers) is used.

Options

From project_national the list of options, option stock saturation, and option arguments for the Misc Freezer characteristic.

Option name

Stock saturation

freezer_present

freezer_location

freezer_rated_annual_kwh

EF 12, National Average

33%

true

auto

935

None

67%

false

auto

0

Void

0%

Misc Gas Fireplace

Description

Presence of a gas fireplace.

Created by

manually created

Source

  • Wilson et al. ‘Building America House Simulation Protocols’ 2014, national average fraction used for saturation

Arguments

Name

Required

Units

Type

Choices

Description

misc_fuel_loads_fireplace_present

true

Boolean

true, false

Whether there is fuel loads fireplace.

misc_fuel_loads_fireplace_fuel_type

true

Choice

natural gas, fuel oil, propane, wood, wood pellets

The fuel type of the fuel loads fireplace.

misc_fuel_loads_fireplace_annual_therm

false

therm/yr

Double

auto

The annual energy consumption of the fuel loads fireplace. If not provided, the OS-HPXML default (see HPXML Fuel Loads) is used.

misc_fuel_loads_fireplace_frac_sensible

false

Frac

Double

auto

Fraction of fireplace residual fuel loads’ internal gains that are sensible. If not provided, the OS-HPXML default (see HPXML Fuel Loads) is used.

misc_fuel_loads_fireplace_frac_latent

false

Frac

Double

auto

Fraction of fireplace residual fuel loads’ internal gains that are latent. If not provided, the OS-HPXML default (see HPXML Fuel Loads) is used.

misc_fuel_loads_fireplace_usage_multiplier

false

Double

auto

Multiplier on the fuel loads fireplace energy usage that can reflect, e.g., high/low usage occupants. If not provided, the OS-HPXML default (see HPXML Fuel Loads) is used.

Options

From project_national the list of options, option stock saturation, and option arguments for the Misc Gas Fireplace characteristic.

Option name

Stock saturation

misc_fuel_loads_fireplace_present

misc_fuel_loads_fireplace_fuel_type

misc_fuel_loads_fireplace_annual_therm

misc_fuel_loads_fireplace_frac_sensible

misc_fuel_loads_fireplace_frac_latent

misc_fuel_loads_fireplace_usage_multiplier

Gas Fireplace

3.2%

true

natural gas

auto

auto

auto

1.0

None

97%

false

natural gas

0

auto

auto

0

Misc Gas Grill

Description

Presence of a gas grill.

Created by

manually created

Source

  • Wilson et al. ‘Building America House Simulation Protocols’ 2014, national average fraction used for saturation

Arguments

Name

Required

Units

Type

Choices

Description

misc_fuel_loads_grill_present

true

Boolean

true, false

Whether there is a fuel loads grill.

misc_fuel_loads_grill_fuel_type

true

Choice

natural gas, fuel oil, propane, wood, wood pellets

The fuel type of the fuel loads grill.

misc_fuel_loads_grill_annual_therm

false

therm/yr

Double

auto

The annual energy consumption of the fuel loads grill. If not provided, the OS-HPXML default (see HPXML Fuel Loads) is used.

misc_fuel_loads_grill_usage_multiplier

false

Double

auto

Multiplier on the fuel loads grill energy usage that can reflect, e.g., high/low usage occupants. If not provided, the OS-HPXML default (see HPXML Fuel Loads) is used.

Options

From project_national the list of options, option stock saturation, and option arguments for the Misc Gas Grill characteristic.

Option name

Stock saturation

misc_fuel_loads_grill_present

misc_fuel_loads_grill_fuel_type

misc_fuel_loads_grill_annual_therm

misc_fuel_loads_grill_usage_multiplier

Gas Grill

2.9%

true

natural gas

auto

1.0

None

97%

false

natural gas

0

0

Misc Gas Lighting

Description

Presence of exterior gas lighting.

Created by

manually created

Source

  • Wilson et al. ‘Building America House Simulation Protocols’ 2014, national average fraction used for saturation

Arguments

Name

Required

Units

Type

Choices

Description

misc_fuel_loads_lighting_present

true

Boolean

true, false

Whether there is fuel loads lighting.

misc_fuel_loads_lighting_fuel_type

true

Choice

natural gas, fuel oil, propane, wood, wood pellets

The fuel type of the fuel loads lighting.

misc_fuel_loads_lighting_annual_therm

false

therm/yr

Double

auto

The annual energy consumption of the fuel loads lighting. If not provided, the OS-HPXML default (see HPXML Fuel Loads)is used.

misc_fuel_loads_lighting_usage_multiplier

false

Double

auto

Multiplier on the fuel loads lighting energy usage that can reflect, e.g., high/low usage occupants. If not provided, the OS-HPXML default (see HPXML Fuel Loads) is used.

Options

From project_national the list of options, option stock saturation, and option arguments for the Misc Gas Lighting characteristic.

Option name

Stock saturation

misc_fuel_loads_lighting_present

misc_fuel_loads_lighting_fuel_type

misc_fuel_loads_lighting_annual_therm

misc_fuel_loads_lighting_usage_multiplier

Gas Lighting

1.2%

true

natural gas

auto

1.0

None

99%

false

natural gas

0

0

Misc Hot Tub Spa

Description

The presence and heating fuel of a hot tub/spa at the dwelling unit.

Created by

sources/recs/recs2020/tsv_maker.py

Source

  • U.S. EIA 2020 Residential Energy Consumption Survey (RECS) microdata.

Assumption

  • Due to low sample count, the tsv is constructed by downscaling a dwelling unit sub-tsv with a household sub-tsv. The sub-tsvs have the following dependencies:

  • Dwelling unit sub-tsv : deps=[‘Geometry Building Type RECS’, ‘State’, ‘Heating Fuel’] with the following fallback coarsening order

    • [1] State coarsened to Census Division RECS with AK/HI separate

    • [2] Heating Fuel coarsened to Other Fuel, Wood and Propane combined

    • [3] Heating Fuel coarsened to Fuel Oil, Other Fuel, Wood and Propane combined

    • [4] Geometry Building Type RECS coarsened to SF/MF/MH

    • [5] Geometry Building Type RECS coarsened to SF and MH/MF

    • [6] Census Division RECS with AK/HI separate coarsened to Census Division RECS

    • [7] Census Division RECS to Census Region

    • [8] Census Region to National

  • Household sub-tsv : deps=[‘Geometry Building Type RECS’, ‘State’ ‘Tenure’, ‘Federal Poverty Level’] with the following fallback coarsening order

    • [1] State coarsened to Census Division RECS with AK/HI separate

    • [2] Geometry Building Type RECS coarsened to SF/MF/MH

    • [3] Geometry Building Type RECS coarsened to SF and MH/MF

    • [4] Federal Poverty Level coarsened every 100 percent

    • [5] Federal Poverty Level coarsened every 200 percent

    • [6] Census Division RECS with AK/HI separate coarsened to Census Division RECS

    • [7] Census Division RECS to Census Region

    • [8] Census Region to National

  • In combining the dwelling unit sub-tsv and household sub-tsv, the conditional relationships are ignored across (‘Heating Fuel’, [‘Tenure’, ‘Federal Poverty Level’]).

Arguments

Name

Required

Units

Type

Choices

Description

permanent_spa_present

true

Boolean

true, false

Whether there is a permanent spa.

permanent_spa_pump_annual_kwh

false

kWh/yr

Double

auto

The annual energy consumption of the permanent spa pump. If not provided, the OS-HPXML default (see Permanent Spa Pump) is used.

permanent_spa_pump_usage_multiplier

false

Double

auto

Multiplier on the permanent spa pump energy usage that can reflect, e.g., high/low usage occupants. If not provided, the OS-HPXML default (see Permanent Spa Pump) is used.

permanent_spa_heater_type

true

Choice

none, electric resistance, gas fired, heat pump

The type of permanent spa heater. Use ‘none’ if there is no permanent spa heater.

permanent_spa_heater_annual_kwh

false

kWh/yr

Double

auto

The annual energy consumption of the electric resistance permanent spa heater. If not provided, the OS-HPXML default (see Permanent Spa Heater) is used.

permanent_spa_heater_annual_therm

false

therm/yr

Double

auto

The annual energy consumption of the gas fired permanent spa heater. If not provided, the OS-HPXML default (see Permanent Spa Heater) is used.

permanent_spa_heater_usage_multiplier

false

Double

auto

Multiplier on the permanent spa heater energy usage that can reflect, e.g., high/low usage occupants. If not provided, the OS-HPXML default (see Permanent Spa Heater) is used.

Options

From project_national the list of options, option stock saturation, and option arguments for the Misc Hot Tub Spa characteristic.

Option name

Stock saturation

permanent_spa_present

permanent_spa_pump_annual_kwh

permanent_spa_pump_usage_multiplier

permanent_spa_heater_type

permanent_spa_heater_annual_kwh

permanent_spa_heater_annual_therm

permanent_spa_heater_usage_multiplier

Electricity

3.5%

true

auto

1.0

electric resistance

auto

0

1.0

Natural Gas

1.1%

true

auto

1.0

gas fired

0

auto

1.0

None

95%

false

0

0

none

0

0

0

Other Fuel

0.33%

false

0

0

none

0

0

0

Void

0%

Misc Pool

Description

The presence of a pool at the dwelling unit.

Created by

sources/recs/recs2020/tsv_maker.py

Source

  • U.S. EIA 2020 Residential Energy Consumption Survey (RECS) microdata.

Assumption

  • The only valid option for multi-family homes is Nonesince the pool is most likely to be jointly ownedDue to low sample count, the tsv is constructed with the followingfallback coarsening order

    • [1] State coarsened to Census Division RECS with AK/HI separate

    • [2] Geometry Building Type RECS coarsened to SF/MF/MH

    • [3] Geometry Building Type RECS coarsened to SF and MH/MF

    • [4] Federal Poverty Level coarsened every 100 percent

    • [5] Federal Poverty Level coarsened every 200 percent

    • [6] Vintage coarsened to every 20 years before 2000 and every 10 years subsequently

    • [7] Vintage homes built before 1960 coarsened to pre1960

    • [8] Vintage homes built after 2000 coarsened to 2000-20

    • [9] Census Division RECS with AK/HI separate coarsened to Census Division RECS

    • [10] Census Division RECS to Census Region

    • [11] Census Region to National

Arguments

Name

Required

Units

Type

Choices

Description

pool_present

true

Boolean

true, false

Whether there is a pool.

Options

From project_national the list of options, option stock saturation, and option arguments for the Misc Pool characteristic.

Option name

Stock saturation

pool_present

Has Pool

7.1%

true

None

93%

false

Void

0%

Misc Pool Heater

Description

The heating fuel of the pool heater if there is a pool.

Created by

sources/recs/recs2020/tsv_maker.py

Source

  • U.S. EIA 2020 Residential Energy Consumption Survey (RECS) microdata.

  • the California Energy Commission 2019 Residential Appliance Saturation Study (RASS) microdata.

Assumption

  • Within electric pool heaters, proportion of heat pump electric pool heating vs. non-heat pump electric pool heating was derived from RASS 2019.

Arguments

Name

Required

Units

Type

Choices

Description

pool_heater_type

true

Choice

none, electric resistance, gas fired, heat pump

The type of pool heater. Use ‘none’ if there is no pool heater.

pool_heater_annual_kwh

false

kWh/yr

Double

auto

The annual energy consumption of the electric resistance pool heater. If not provided, the OS-HPXML default (see Pool Heater) is used.

pool_heater_annual_therm

false

therm/yr

Double

auto

The annual energy consumption of the gas fired pool heater. If not provided, the OS-HPXML default (see Pool Heater) is used.

pool_heater_usage_multiplier

false

Double

auto

Multiplier on the pool heater energy usage that can reflect, e.g., high/low usage occupants. If not provided, the OS-HPXML default (see Pool Heater) is used.

Options

From project_national the list of options, option stock saturation, and option arguments for the Misc Pool Heater characteristic.

Option name

Stock saturation

pool_heater_type

pool_heater_annual_kwh

pool_heater_annual_therm

pool_heater_usage_multiplier

Electric Heat Pump

0.13%

heat pump

auto

0

1.0

Electricity

0.57%

electric resistance

auto

0

1.0

Natural Gas

1%

gas fired

0

auto

1.0

None

98%

none

0

0

0

Other Fuel

0.65%

none

0

0

0

Misc Pool Pump

Description

Presence and size of pool pump.

Created by

manually created

Source

  • Wilson et al. ‘Building America House Simulation Protocols’ 2014, national average fraction used for saturation

Arguments

Name

Required

Units

Type

Choices

Description

pool_pump_annual_kwh

false

kWh/yr

Double

auto

The annual energy consumption of the pool pump. If not provided, the OS-HPXML default (see Pool Pump) is used.

pool_pump_usage_multiplier

false

Double

auto

Multiplier on the pool pump energy usage that can reflect, e.g., high/low usage occupants. If not provided, the OS-HPXML default (see Pool Pump) is used.

Options

From project_national the list of options, option stock saturation, and option arguments for the Misc Pool Pump characteristic.

Option name

Stock saturation

pool_pump_annual_kwh

pool_pump_usage_multiplier

None

93%

0

0

1.0 HP Pump

7.1%

auto

1.0

Misc Well Pump

Description

Presence of well pump according to the use of well for domestic water source.

Created by

sources/ahs/ahs2017_2019/tsv_maker.py

Source

  • 2017 and 2019 American Housing Survey (AHS) microdata.

  • Core Based Statistical Area (CBSA) data based on the Feb 2013 CBSA delineation file.

Assumption

  • All well pumps are assumed to have typical efficiency.

  • Where the number of samples < 10, the Census Division is aggregated up to Census Region.

  • AHS has data for buildings up to 7 stories tall. Buildings with 8 or more stories are assumed not to have a well pump.

Arguments

Name

Required

Units

Type

Choices

Description

misc_plug_loads_well_pump_present

true

Boolean

true, false

Whether there is a well pump.

misc_plug_loads_well_pump_annual_kwh

false

kWh/yr

Double

auto

The annual energy consumption of the well pump plug loads. If not provided, the OS-HPXML default (see HPXML Plug Loads) is used.

misc_plug_loads_well_pump_usage_multiplier

false

Double

auto

Multiplier on the well pump energy usage that can reflect, e.g., high/low usage occupants. If not provided, the OS-HPXML default (see HPXML Plug Loads) is used.

misc_plug_loads_well_pump_2_usage_multiplier

true

Double

Additional multiplier on the well pump energy usage that can reflect, e.g., high/low usage occupants.

Options

From project_national the list of options, option stock saturation, and option arguments for the Misc Well Pump characteristic.

Option name

Stock saturation

misc_plug_loads_well_pump_present

misc_plug_loads_well_pump_annual_kwh

misc_plug_loads_well_pump_usage_multiplier

misc_plug_loads_well_pump_2_usage_multiplier

None

87%

false

0

0

0

Typical Efficiency

13%

true

auto

1.0

1.0

Natural Ventilation

Description

Schedule of natural ventilation from windows.

Created by

manually created

Source

  • Wilson et al. ‘Building America House Simulation Protocols’ 2014

Arguments

Name

Required

Units

Type

Choices

Description

window_fraction_operable

false

Frac

Double

auto

Fraction of windows that are operable. If not provided, the OS-HPXML default (see HPXML Windows) is used.

Options

From project_national the list of options, option stock saturation, and option arguments for the Natural Ventilation characteristic.

Option name

Stock saturation

window_fraction_operable

Cooling Season, 7 days/wk

100%

0.67

Neighbors

Description

Presence and distance between the dwelling unit and the nearest neighbors to the left and right.

Created by

manually created

Source

  • OpenStreetMap data queried by Radiant Labs for Multi-Family and Single-Family Attached

  • Engineering Judgement for others

Arguments

Name

Required

Units

Type

Choices

Description

neighbor_front_distance

true

ft

Double

The distance between the unit and the neighboring building to the front (not including eaves). A value of zero indicates no neighbors. Used for shading.

neighbor_back_distance

true

ft

Double

The distance between the unit and the neighboring building to the back (not including eaves). A value of zero indicates no neighbors. Used for shading.

neighbor_left_distance

true

ft

Double

The distance between the unit and the neighboring building to the left (not including eaves). A value of zero indicates no neighbors. Used for shading.

neighbor_right_distance

true

ft

Double

The distance between the unit and the neighboring building to the right (not including eaves). A value of zero indicates no neighbors. Used for shading.

neighbor_front_height

false

ft

Double

auto

The height of the neighboring building to the front. If not provided, the OS-HPXML default (see HPXML Neighbor Building) is used.

neighbor_back_height

false

ft

Double

auto

The height of the neighboring building to the back. If not provided, the OS-HPXML default (see HPXML Neighbor Building) is used.

neighbor_left_height

false

ft

Double

auto

The height of the neighboring building to the left. If not provided, the OS-HPXML default (see HPXML Neighbor Building) is used.

neighbor_right_height

false

ft

Double

auto

The height of the neighboring building to the right. If not provided, the OS-HPXML default (see HPXML Neighbor Building) is used.

Options

From project_national the list of options, option stock saturation, and option arguments for the Neighbors characteristic.

Option name

Stock saturation

neighbor_front_distance

neighbor_back_distance

neighbor_left_distance

neighbor_right_distance

neighbor_front_height

neighbor_back_height

neighbor_left_height

neighbor_right_height

Left/Right at 15ft

68%

0

0

15

15

auto

auto

auto

auto

2

0.19%

0

0

2

2

auto

auto

auto

auto

4

3.4%

0

0

4

4

auto

auto

auto

auto

7

5%

0

0

7

7

auto

auto

auto

auto

12

9.2%

0

0

12

12

auto

auto

auto

auto

27

13%

0

0

27

27

auto

auto

auto

auto

None

1.3%

0

0

0

0

auto

auto

auto

auto

Occupants

Description

The number of occupants living in the dwelling unit.

Created by

sources/pums/pums2019_5yrs/tsv_maker.py

Source

  • 2019-5yrs Public Use Microdata Samples (PUMS). IPUMS USA, University of Minnesota, www.ipums.org.

Assumption

  • Option=10+ has a (weighted) representative value of 11. In ACS, Income, Tenure, and Occupants are reported for occupied units only. Because we assume vacant units share the same Income and Tenure distributions as occupied units, by extension, we assume this Occupants distribution applies to all units regardless of Vacancy Status. Where sample counts are less than 10 (6243 / 18000 rows), the Census Region average distribution has been inserted first (2593), followed by national average distribution (2678), followed by national + ‘MF’/’SF’ average distribution (252), followed by national + ‘MF’/’SF’ + ‘Metro’/’Non-metro’ average distribution (315)followed by national + ‘MF’/’SF’ + ‘Metro’/’Non-metro’ + Vacancy Status average distribution (657).

Arguments

Name

Required

Units

Type

Choices

Description

geometry_unit_num_occupants

false

#

Double

auto

The number of occupants in the unit. If not provided, an asset calculation is performed assuming standard occupancy, in which various end use defaults (e.g., plug loads, appliances, and hot water usage) are calculated based on Number of Bedrooms and Conditioned Floor Area per ANSI/RESNET/ICC 301. If provided, an operational calculation is instead performed in which the end use defaults to reflect real-world data (where possible).

general_water_use_usage_multiplier

false

Double

auto

Multiplier on internal gains from general water use (floor mopping, shower evaporation, water films on showers, tubs & sinks surfaces, plant watering, etc.) that can reflect, e.g., high/low usage occupants. If not provided, the OS-HPXML default (see HPXML Building Occupancy) is used.

Options

From project_national the list of options, option stock saturation, and option arguments for the Occupants characteristic.

Option name

Stock saturation

geometry_unit_num_occupants

general_water_use_usage_multiplier

0

12%

0

auto

1

24%

1

auto

2

30%

2

auto

3

14%

3

auto

4

11%

4

auto

5

5.2%

5

auto

6

2.1%

6

auto

7

0.76%

7

auto

8

0.31%

8

auto

9

0.12%

9

auto

10+

0.12%

11

auto

Orientation

Description

Orientation of the front of the dwelling unit as it faces the street.

Created by

manually created

Source

  • OpenStreetMap data queried by Radiant Labs.

Arguments

Name

Required

Units

Type

Choices

Description

geometry_unit_orientation

true

degrees

Double

The unit’s orientation is measured clockwise from north (e.g., North=0, East=90, South=180, West=270).

Options

From project_national the list of options, option stock saturation, and option arguments for the Orientation characteristic.

Option name

Stock saturation

geometry_unit_orientation

East

17%

90

West

17%

270

Northeast

7.2%

45

Southwest

7.2%

225

North

18%

0

South

18%

180

Northwest

7.7%

315

Southeast

7.7%

135

Overhangs

Description

Presence, depth, and location of window overhangs (not used in project_national).

Created by

manually created

Source

  • Not applicable

  • all homes are assumed to not have window overhangs other than eaves.

Arguments

Name

Required

Units

Type

Choices

Description

overhangs_front_depth

true

ft

Double

The depth of overhangs for windows for the front facade.

overhangs_front_distance_to_top_of_window

true

ft

Double

The overhangs distance to the top of window for the front facade.

overhangs_front_distance_to_bottom_of_window

true

ft

Double

The overhangs distance to the bottom of window for the front facade.

overhangs_back_depth

true

ft

Double

The depth of overhangs for windows for the back facade.

overhangs_back_distance_to_top_of_window

true

ft

Double

The overhangs distance to the top of window for the back facade.

overhangs_back_distance_to_bottom_of_window

true

ft

Double

The overhangs distance to the bottom of window for the back facade.

overhangs_left_depth

true

ft

Double

The depth of overhangs for windows for the left facade.

overhangs_left_distance_to_top_of_window

true

ft

Double

The overhangs distance to the top of window for the left facade.

overhangs_left_distance_to_bottom_of_window

true

ft

Double

The overhangs distance to the bottom of window for the left facade.

overhangs_right_depth

true

ft

Double

The depth of overhangs for windows for the right facade.

overhangs_right_distance_to_top_of_window

true

ft

Double

The overhangs distance to the top of window for the right facade.

overhangs_right_distance_to_bottom_of_window

true

ft

Double

The overhangs distance to the bottom of window for the right facade.

Options

From project_national the list of options, option stock saturation, and option arguments for the Overhangs characteristic.

Option name

Stock saturation

overhangs_front_depth

overhangs_front_distance_to_top_of_window

overhangs_front_distance_to_bottom_of_window

overhangs_back_depth

overhangs_back_distance_to_top_of_window

overhangs_back_distance_to_bottom_of_window

overhangs_left_depth

overhangs_left_distance_to_top_of_window

overhangs_left_distance_to_bottom_of_window

overhangs_right_depth

overhangs_right_distance_to_top_of_window

overhangs_right_distance_to_bottom_of_window

None

100%

0

0

4

0

0

4

0

0

4

0

0

4

PUMA

Description

The Public Use Microdata Area from 2010 U.S. Census that the sample is located.

Created by

sources/spatial/tsv_maker.py

Source

  • Spatial definitions are from the U.S. Census Bureau as of July 1, 2015.

  • Unit counts are from the American Community Survey 5-yr 2016.

Arguments

Name

Required

Units

Type

Choices

Description

site_elevation

false

ft

Double

auto

Elevation of the home address. If not provided, the OS-HPXML default (see HPXML Site) is used.

site_latitude

false

deg

Double

auto

Latitude of the home address. Must be between -90 and 90. Use negative values for southern hemisphere. If not provided, the OS-HPXML default (see HPXML Site) is used.

site_longitude

false

deg

Double

auto

Longitude of the home address. Must be between -180 and 180. Use negative values for the western hemisphere. If not provided, the OS-HPXML default (see HPXML Site) is used.

Options

From project_national the list of options, option stock saturation, and option arguments for the PUMA characteristic.

Option name

Stock saturation

site_elevation

site_latitude

site_longitude

AK, 00101

0.038%

auto

auto

auto

AK, 00102

0.048%

auto

auto

auto

AK, 00200

0.054%

auto

auto

auto

AK, 00300

0.056%

auto

auto

auto

AK, 00400

0.035%

auto

auto

auto

AL, 00100

0.066%

auto

auto

auto

AL, 00200

0.055%

auto

auto

auto

AL, 00301

0.041%

auto

auto

auto

AL, 00302

0.037%

auto

auto

auto

AL, 00400

0.042%

auto

auto

auto

AL, 00500

0.039%

auto

auto

auto

AL, 00600

0.05%

auto

auto

auto

AL, 00700

0.038%

auto

auto

auto

AL, 00800

0.045%

auto

auto

auto

AL, 00900

0.035%

auto

auto

auto

AL, 01000

0.059%

auto

auto

auto

AL, 01100

0.04%

auto

auto

auto

AL, 01200

0.062%

auto

auto

auto

AL, 01301

0.038%

auto

auto

auto

AL, 01302

0.041%

auto

auto

auto

AL, 01303

0.057%

auto

auto

auto

AL, 01304

0.056%

auto

auto

auto

AL, 01305

0.036%

auto

auto

auto

AL, 01400

0.043%

auto

auto

auto

AL, 01500

0.032%

auto

auto

auto

AL, 01600

0.041%

auto

auto

auto

AL, 01700

0.047%

auto

auto

auto

AL, 01800

0.048%

auto

auto

auto

AL, 01900

0.049%

auto

auto

auto

AL, 02000

0.067%

auto

auto

auto

AL, 02100

0.056%

auto

auto

auto

AL, 02200

0.051%

auto

auto

auto

AL, 02300

0.043%

auto

auto

auto

AL, 02400

0.051%

auto

auto

auto

AL, 02500

0.068%

auto

auto

auto

AL, 02600

0.08%

auto

auto

auto

AL, 02701

0.038%

auto

auto

auto

AL, 02702

0.038%

auto

auto

auto

AL, 02703

0.059%

auto

auto

auto

AR, 00100

0.073%

auto

auto

auto

AR, 00200

0.067%

auto

auto

auto

AR, 00300

0.059%

auto

auto

auto

AR, 00400

0.054%

auto

auto

auto

AR, 00500

0.061%

auto

auto

auto

AR, 00600

0.035%

auto

auto

auto

AR, 00700

0.036%

auto

auto

auto

AR, 00800

0.037%

auto

auto

auto

AR, 00900

0.068%

auto

auto

auto

AR, 01000

0.067%

auto

auto

auto

AR, 01100

0.058%

auto

auto

auto

AR, 01200

0.035%

auto

auto

auto

AR, 01300

0.046%

auto

auto

auto

AR, 01400

0.062%

auto

auto

auto

AR, 01500

0.035%

auto

auto

auto

AR, 01600

0.06%

auto

auto

auto

AR, 01700

0.035%

auto

auto

auto

AR, 01800

0.037%

auto

auto

auto

AR, 01900

0.038%

auto

auto

auto

AR, 02000

0.038%

auto

auto

auto

AZ, 00100

0.033%

auto

auto

auto

AZ, 00101

0.055%

auto

auto

auto

AZ, 00102

0.043%

auto

auto

auto

AZ, 00103

0.034%

auto

auto

auto

AZ, 00104

0.04%

auto

auto

auto

AZ, 00105

0.036%

auto

auto

auto

AZ, 00106

0.033%

auto

auto

auto

AZ, 00107

0.033%

auto

auto

auto

AZ, 00108

0.032%

auto

auto

auto

AZ, 00109

0.036%

auto

auto

auto

AZ, 00110

0.053%

auto

auto

auto

AZ, 00111

0.045%

auto

auto

auto

AZ, 00112

0.043%

auto

auto

auto

AZ, 00113

0.035%

auto

auto

auto

AZ, 00114

0.037%

auto

auto

auto

AZ, 00115

0.034%

auto

auto

auto

AZ, 00116

0.039%

auto

auto

auto

AZ, 00117

0.038%

auto

auto

auto

AZ, 00118

0.037%

auto

auto

auto

AZ, 00119

0.026%

auto

auto

auto

AZ, 00120

0.033%

auto

auto

auto

AZ, 00121

0.031%

auto

auto

auto

AZ, 00122

0.025%

auto

auto

auto

AZ, 00123

0.026%

auto

auto

auto

AZ, 00124

0.029%

auto

auto

auto

AZ, 00125

0.03%

auto

auto

auto

AZ, 00126

0.038%

auto

auto

auto

AZ, 00127

0.034%

auto

auto

auto

AZ, 00128

0.031%

auto

auto

auto

AZ, 00129

0.034%

auto

auto

auto

AZ, 00130

0.053%

auto

auto

auto

AZ, 00131

0.036%

auto

auto

auto

AZ, 00132

0.03%

auto

auto

auto

AZ, 00133

0.028%

auto

auto

auto

AZ, 00134

0.034%

auto

auto

auto

AZ, 00201

0.032%

auto

auto

auto

AZ, 00202

0.039%

auto

auto

auto

AZ, 00203

0.038%

auto

auto

auto

AZ, 00204

0.041%

auto

auto

auto

AZ, 00205

0.04%

auto

auto

auto

AZ, 00206

0.042%

auto

auto

auto

AZ, 00207

0.037%

auto

auto

auto

AZ, 00208

0.029%

auto

auto

auto

AZ, 00209

0.039%

auto

auto

auto

AZ, 00300

0.067%

auto

auto

auto

AZ, 00400

0.048%

auto

auto

auto

AZ, 00500

0.084%

auto

auto

auto

AZ, 00600

0.096%

auto

auto

auto

AZ, 00700

0.067%

auto

auto

auto

AZ, 00800

0.042%

auto

auto

auto

AZ, 00803

0.047%

auto

auto

auto

AZ, 00805

0.034%

auto

auto

auto

AZ, 00807

0.04%

auto

auto

auto

AZ, 00900

0.059%

auto

auto

auto

CA, 00101

0.043%

auto

auto

auto

CA, 00102

0.058%

auto

auto

auto

CA, 00103

0.043%

auto

auto

auto

CA, 00104

0.033%

auto

auto

auto

CA, 00105

0.05%

auto

auto

auto

CA, 00106

0.037%

auto

auto

auto

CA, 00107

0.036%

auto

auto

auto

CA, 00108

0.032%

auto

auto

auto

CA, 00109

0.05%

auto

auto

auto

CA, 00110

0.06%

auto

auto

auto

CA, 00300

0.085%

auto

auto

auto

CA, 00701

0.038%

auto

auto

auto

CA, 00702

0.035%

auto

auto

auto

CA, 01100

0.041%

auto

auto

auto

CA, 01301

0.031%

auto

auto

auto

CA, 01302

0.035%

auto

auto

auto

CA, 01303

0.039%

auto

auto

auto

CA, 01304

0.039%

auto

auto

auto

CA, 01305

0.034%

auto

auto

auto

CA, 01306

0.036%

auto

auto

auto

CA, 01307

0.032%

auto

auto

auto

CA, 01308

0.028%

auto

auto

auto

CA, 01309

0.029%

auto

auto

auto

CA, 01500

0.051%

auto

auto

auto

CA, 01700

0.066%

auto

auto

auto

CA, 01901

0.031%

auto

auto

auto

CA, 01902

0.053%

auto

auto

auto

CA, 01903

0.026%

auto

auto

auto

CA, 01904

0.043%

auto

auto

auto

CA, 01905

0.024%

auto

auto

auto

CA, 01906

0.03%

auto

auto

auto

CA, 01907

0.034%

auto

auto

auto

CA, 02300

0.047%

auto

auto

auto

CA, 02500

0.042%

auto

auto

auto

CA, 02901

0.041%

auto

auto

auto

CA, 02902

0.054%

auto

auto

auto

CA, 02903

0.04%

auto

auto

auto

CA, 02904

0.024%

auto

auto

auto

CA, 02905

0.059%

auto

auto

auto

CA, 03100

0.034%

auto

auto

auto

CA, 03300

0.057%

auto

auto

auto

CA, 03701

0.033%

auto

auto

auto

CA, 03702

0.05%

auto

auto

auto

CA, 03703

0.042%

auto

auto

auto

CA, 03704

0.038%

auto

auto

auto

CA, 03705

0.046%

auto

auto

auto

CA, 03706

0.032%

auto

auto

auto

CA, 03707

0.027%

auto

auto

auto

CA, 03708

0.032%

auto

auto

auto

CA, 03709

0.031%

auto

auto

auto

CA, 03710

0.036%

auto

auto

auto

CA, 03711

0.044%

auto

auto

auto

CA, 03712

0.03%

auto

auto

auto

CA, 03713

0.026%

auto

auto

auto

CA, 03714

0.027%

auto

auto

auto

CA, 03715

0.025%

auto

auto

auto

CA, 03716

0.02%

auto

auto

auto

CA, 03717

0.051%

auto

auto

auto

CA, 03718

0.044%

auto

auto

auto

CA, 03719

0.057%

auto

auto

auto

CA, 03720

0.038%

auto

auto

auto

CA, 03721

0.042%

auto

auto

auto

CA, 03722

0.046%

auto

auto

auto

CA, 03723

0.03%

auto

auto

auto

CA, 03724

0.047%

auto

auto

auto

CA, 03725

0.05%

auto

auto

auto

CA, 03726

0.031%

auto

auto

auto

CA, 03727

0.057%

auto

auto

auto

CA, 03728

0.044%

auto

auto

auto

CA, 03729

0.07%

auto

auto

auto

CA, 03730

0.059%

auto

auto

auto

CA, 03731

0.049%

auto

auto

auto

CA, 03732

0.064%

auto

auto

auto

CA, 03733

0.036%

auto

auto

auto

CA, 03734

0.059%

auto

auto

auto

CA, 03735

0.048%

auto

auto

auto

CA, 03736

0.033%

auto

auto

auto

CA, 03737

0.03%

auto

auto

auto

CA, 03738

0.028%

auto

auto

auto

CA, 03739

0.04%

auto

auto

auto

CA, 03740

0.03%

auto

auto

auto

CA, 03741

0.027%

auto

auto

auto

CA, 03742

0.024%

auto

auto

auto

CA, 03743

0.024%

auto

auto

auto

CA, 03744

0.048%

auto

auto

auto

CA, 03745

0.022%

auto

auto

auto

CA, 03746

0.025%

auto

auto

auto

CA, 03747

0.048%

auto

auto

auto

CA, 03748

0.065%

auto

auto

auto

CA, 03749

0.029%

auto

auto

auto

CA, 03750

0.041%

auto

auto

auto

CA, 03751

0.03%

auto

auto

auto

CA, 03752

0.031%

auto

auto

auto

CA, 03753

0.025%

auto

auto

auto

CA, 03754

0.03%

auto

auto

auto

CA, 03755

0.025%

auto

auto

auto

CA, 03756

0.026%

auto

auto

auto

CA, 03757

0.031%

auto

auto

auto

CA, 03758

0.04%

auto

auto

auto

CA, 03759

0.028%

auto

auto

auto

CA, 03760

0.047%

auto

auto

auto

CA, 03761

0.037%

auto

auto

auto

CA, 03762

0.025%

auto

auto

auto

CA, 03763

0.034%

auto

auto

auto

CA, 03764

0.039%

auto

auto

auto

CA, 03765

0.042%

auto

auto

auto

CA, 03766

0.027%

auto

auto

auto

CA, 03767

0.047%

auto

auto

auto

CA, 03768

0.035%

auto

auto

auto

CA, 03769

0.03%

auto

auto

auto

CA, 03900

0.037%

auto

auto

auto

CA, 04101

0.036%

auto

auto

auto

CA, 04102

0.048%

auto

auto

auto

CA, 04701

0.025%

auto

auto

auto

CA, 04702

0.038%

auto

auto

auto

CA, 05301

0.056%

auto

auto

auto

CA, 05302

0.035%

auto

auto

auto

CA, 05303

0.027%

auto

auto

auto

CA, 05500

0.041%

auto

auto

auto

CA, 05700

0.041%

auto

auto

auto

CA, 05901

0.059%

auto

auto

auto

CA, 05902

0.029%

auto

auto

auto

CA, 05903

0.073%

auto

auto

auto

CA, 05904

0.065%

auto

auto

auto

CA, 05905

0.054%

auto

auto

auto

CA, 05906

0.047%

auto

auto

auto

CA, 05907

0.049%

auto

auto

auto

CA, 05908

0.048%

auto

auto

auto

CA, 05909

0.033%

auto

auto

auto

CA, 05910

0.044%

auto

auto

auto

CA, 05911

0.034%

auto

auto

auto

CA, 05912

0.04%

auto

auto

auto

CA, 05913

0.033%

auto

auto

auto

CA, 05914

0.059%

auto

auto

auto

CA, 05915

0.027%

auto

auto

auto

CA, 05916

0.026%

auto

auto

auto

CA, 05917

0.03%

auto

auto

auto

CA, 05918

0.052%

auto

auto

auto

CA, 06101

0.039%

auto

auto

auto

CA, 06102

0.034%

auto

auto

auto

CA, 06103

0.045%

auto

auto

auto

CA, 06501

0.052%

auto

auto

auto

CA, 06502

0.065%

auto

auto

auto

CA, 06503

0.033%

auto

auto

auto

CA, 06504

0.031%

auto

auto

auto

CA, 06505

0.047%

auto

auto

auto

CA, 06506

0.043%

auto

auto

auto

CA, 06507

0.041%

auto

auto

auto

CA, 06508

0.039%

auto

auto

auto

CA, 06509

0.025%

auto

auto

auto

CA, 06510

0.036%

auto

auto

auto

CA, 06511

0.039%

auto

auto

auto

CA, 06512

0.024%

auto

auto

auto

CA, 06513

0.035%

auto

auto

auto

CA, 06514

0.031%

auto

auto

auto

CA, 06515

0.07%

auto

auto

auto

CA, 06701

0.033%

auto

auto

auto

CA, 06702

0.033%

auto

auto

auto

CA, 06703

0.037%

auto

auto

auto

CA, 06704

0.039%

auto

auto

auto

CA, 06705

0.031%

auto

auto

auto

CA, 06706

0.029%

auto

auto

auto

CA, 06707

0.046%

auto

auto

auto

CA, 06708

0.037%

auto

auto

auto

CA, 06709

0.038%

auto

auto

auto

CA, 06710

0.038%

auto

auto

auto

CA, 06711

0.027%

auto

auto

auto

CA, 06712

0.032%

auto

auto

auto

CA, 07101

0.05%

auto

auto

auto

CA, 07102

0.037%

auto

auto

auto

CA, 07103

0.043%

auto

auto

auto

CA, 07104

0.056%

auto

auto

auto

CA, 07105

0.039%

auto

auto

auto

CA, 07106

0.026%

auto

auto

auto

CA, 07107

0.025%

auto

auto

auto

CA, 07108

0.036%

auto

auto

auto

CA, 07109

0.022%

auto

auto

auto

CA, 07110

0.021%

auto

auto

auto

CA, 07111

0.044%

auto

auto

auto

CA, 07112

0.032%

auto

auto

auto

CA, 07113

0.039%

auto

auto

auto

CA, 07114

0.035%

auto

auto

auto

CA, 07115

0.023%

auto

auto

auto

CA, 07301

0.05%

auto

auto

auto

CA, 07302

0.036%

auto

auto

auto

CA, 07303

0.027%

auto

auto

auto

CA, 07304

0.038%

auto

auto

auto

CA, 07305

0.033%

auto

auto

auto

CA, 07306

0.033%

auto

auto

auto

CA, 07307

0.029%

auto

auto

auto

CA, 07308

0.036%

auto

auto

auto

CA, 07309

0.05%

auto

auto

auto

CA, 07310

0.062%

auto

auto

auto

CA, 07311

0.03%

auto

auto

auto

CA, 07312

0.032%

auto

auto

auto

CA, 07313

0.047%

auto

auto

auto

CA, 07314

0.047%

auto

auto

auto

CA, 07315

0.049%

auto

auto

auto

CA, 07316

0.064%

auto

auto

auto

CA, 07317

0.046%

auto

auto

auto

CA, 07318

0.034%

auto

auto

auto

CA, 07319

0.034%

auto

auto

auto

CA, 07320

0.034%

auto

auto

auto

CA, 07321

0.043%

auto

auto

auto

CA, 07322

0.03%

auto

auto

auto

CA, 07501

0.052%

auto

auto

auto

CA, 07502

0.05%

auto

auto

auto

CA, 07503

0.054%

auto

auto

auto

CA, 07504

0.042%

auto

auto

auto

CA, 07505

0.034%

auto

auto

auto

CA, 07506

0.031%

auto

auto

auto

CA, 07507

0.025%

auto

auto

auto

CA, 07701

0.047%

auto

auto

auto

CA, 07702

0.038%

auto

auto

auto

CA, 07703

0.048%

auto

auto

auto

CA, 07704

0.044%

auto

auto

auto

CA, 07901

0.057%

auto

auto

auto

CA, 07902

0.032%

auto

auto

auto

CA, 08101

0.035%

auto

auto

auto

CA, 08102

0.031%

auto

auto

auto

CA, 08103

0.032%

auto

auto

auto

CA, 08104

0.037%

auto

auto

auto

CA, 08105

0.039%

auto

auto

auto

CA, 08106

0.029%

auto

auto

auto

CA, 08301

0.028%

auto

auto

auto

CA, 08302

0.027%

auto

auto

auto

CA, 08303

0.06%

auto

auto

auto

CA, 08501

0.062%

auto

auto

auto

CA, 08502

0.045%

auto

auto

auto

CA, 08503

0.041%

auto

auto

auto

CA, 08504

0.031%

auto

auto

auto

CA, 08505

0.022%

auto

auto

auto

CA, 08506

0.028%

auto

auto

auto

CA, 08507

0.039%

auto

auto

auto

CA, 08508

0.04%

auto

auto

auto

CA, 08509

0.036%

auto

auto

auto

CA, 08510

0.041%

auto

auto

auto

CA, 08511

0.029%

auto

auto

auto

CA, 08512

0.027%

auto

auto

auto

CA, 08513

0.024%

auto

auto

auto

CA, 08514

0.02%

auto

auto

auto

CA, 08701

0.038%

auto

auto

auto

CA, 08702

0.04%

auto

auto

auto

CA, 08900

0.058%

auto

auto

auto

CA, 09501

0.043%

auto

auto

auto

CA, 09502

0.036%

auto

auto

auto

CA, 09503

0.036%

auto

auto

auto

CA, 09701

0.065%

auto

auto

auto

CA, 09702

0.035%

auto

auto

auto

CA, 09703

0.054%

auto

auto

auto

CA, 09901

0.026%

auto

auto

auto

CA, 09902

0.03%

auto

auto

auto

CA, 09903

0.047%

auto

auto

auto

CA, 09904

0.031%

auto

auto

auto

CA, 10100

0.046%

auto

auto

auto

CA, 10701

0.036%

auto

auto

auto

CA, 10702

0.035%

auto

auto

auto

CA, 10703

0.037%

auto

auto

auto

CA, 11101

0.03%

auto

auto

auto

CA, 11102

0.042%

auto

auto

auto

CA, 11103

0.042%

auto

auto

auto

CA, 11104

0.035%

auto

auto

auto

CA, 11105

0.03%

auto

auto

auto

CA, 11106

0.033%

auto

auto

auto

CA, 11300

0.057%

auto

auto

auto

CO, 00100

0.034%

auto

auto

auto

CO, 00102

0.042%

auto

auto

auto

CO, 00103

0.061%

auto

auto

auto

CO, 00200

0.037%

auto

auto

auto

CO, 00300

0.051%

auto

auto

auto

CO, 00400

0.069%

auto

auto

auto

CO, 00600

0.045%

auto

auto

auto

CO, 00700

0.049%

auto

auto

auto

CO, 00800

0.039%

auto

auto

auto

CO, 00801

0.037%

auto

auto

auto

CO, 00802

0.048%

auto

auto

auto

CO, 00803

0.039%

auto

auto

auto

CO, 00804

0.046%

auto

auto

auto

CO, 00805

0.036%

auto

auto

auto

CO, 00806

0.038%

auto

auto

auto

CO, 00807

0.04%

auto

auto

auto

CO, 00808

0.029%

auto

auto

auto

CO, 00809

0.035%

auto

auto

auto

CO, 00810

0.034%

auto

auto

auto

CO, 00811

0.036%

auto

auto

auto

CO, 00812

0.048%

auto

auto

auto

CO, 00813

0.041%

auto

auto

auto

CO, 00814

0.046%

auto

auto

auto

CO, 00815

0.064%

auto

auto

auto

CO, 00816

0.034%

auto

auto

auto

CO, 00817

0.037%

auto

auto

auto

CO, 00818

0.04%

auto

auto

auto

CO, 00819

0.045%

auto

auto

auto

CO, 00820

0.037%

auto

auto

auto

CO, 00821

0.039%

auto

auto

auto

CO, 00822

0.03%

auto

auto

auto

CO, 00823

0.034%

auto

auto

auto

CO, 00824

0.029%

auto

auto

auto

CO, 00900

0.047%

auto

auto

auto

CO, 01001

0.042%

auto

auto

auto

CO, 01002

0.038%

auto

auto

auto

CO, 04101

0.033%

auto

auto

auto

CO, 04102

0.04%

auto

auto

auto

CO, 04103

0.037%

auto

auto

auto

CO, 04104

0.033%

auto

auto

auto

CO, 04105

0.034%

auto

auto

auto

CO, 04106

0.031%

auto

auto

auto

CT, 00100

0.05%

auto

auto

auto

CT, 00101

0.031%

auto

auto

auto

CT, 00102

0.057%

auto

auto

auto

CT, 00103

0.039%

auto

auto

auto

CT, 00104

0.043%

auto

auto

auto

CT, 00105

0.052%

auto

auto

auto

CT, 00300

0.047%

auto

auto

auto

CT, 00301

0.035%

auto

auto

auto

CT, 00302

0.04%

auto

auto

auto

CT, 00303

0.05%

auto

auto

auto

CT, 00304

0.036%

auto

auto

auto

CT, 00305

0.036%

auto

auto

auto

CT, 00306

0.037%

auto

auto

auto

CT, 00500

0.065%

auto

auto

auto

CT, 00700

0.056%

auto

auto

auto

CT, 00900

0.039%

auto

auto

auto

CT, 00901

0.035%

auto

auto

auto

CT, 00902

0.043%

auto

auto

auto

CT, 00903

0.037%

auto

auto

auto

CT, 00904

0.038%

auto

auto

auto

CT, 00905

0.042%

auto

auto

auto

CT, 00906

0.037%

auto

auto

auto

CT, 01100

0.044%

auto

auto

auto

CT, 01101

0.047%

auto

auto

auto

CT, 01300

0.044%

auto

auto

auto

CT, 01500

0.037%

auto

auto

auto

DC, 00101

0.039%

auto

auto

auto

DC, 00102

0.038%

auto

auto

auto

DC, 00103

0.038%

auto

auto

auto

DC, 00104

0.051%

auto

auto

auto

DC, 00105

0.064%

auto

auto

auto

DE, 00101

0.037%

auto

auto

auto

DE, 00102

0.046%

auto

auto

auto

DE, 00103

0.043%

auto

auto

auto

DE, 00104

0.04%

auto

auto

auto

DE, 00200

0.051%

auto

auto

auto

DE, 00300

0.096%

auto

auto

auto

FL, 00101

0.049%

auto

auto

auto

FL, 00102

0.036%

auto

auto

auto

FL, 00500

0.12%

auto

auto

auto

FL, 00901

0.066%

auto

auto

auto

FL, 00902

0.051%

auto

auto

auto

FL, 00903

0.042%

auto

auto

auto

FL, 00904

0.044%

auto

auto

auto

FL, 01101

0.04%

auto

auto

auto

FL, 01102

0.039%

auto

auto

auto

FL, 01103

0.042%

auto

auto

auto

FL, 01104

0.056%

auto

auto

auto

FL, 01105

0.058%

auto

auto

auto

FL, 01106

0.055%

auto

auto

auto

FL, 01107

0.032%

auto

auto

auto

FL, 01108

0.055%

auto

auto

auto

FL, 01109

0.037%

auto

auto

auto

FL, 01110

0.035%

auto

auto

auto

FL, 01111

0.036%

auto

auto

auto

FL, 01112

0.04%

auto

auto

auto

FL, 01113

0.042%

auto

auto

auto

FL, 01114

0.042%

auto

auto

auto

FL, 01500

0.076%

auto

auto

auto

FL, 01701

0.058%

auto

auto

auto

FL, 01900

0.058%

auto

auto

auto

FL, 02101

0.053%

auto

auto

auto

FL, 02102

0.053%

auto

auto

auto

FL, 02103

0.046%

auto

auto

auto

FL, 02300

0.06%

auto

auto

auto

FL, 02700

0.054%

auto

auto

auto

FL, 03101

0.036%

auto

auto

auto

FL, 03102

0.041%

auto

auto

auto

FL, 03103

0.036%

auto

auto

auto

FL, 03104

0.044%

auto

auto

auto

FL, 03105

0.046%

auto

auto

auto

FL, 03106

0.04%

auto

auto

auto

FL, 03107

0.053%

auto

auto

auto

FL, 03301

0.037%

auto

auto

auto

FL, 03302

0.067%

auto

auto

auto

FL, 03500

0.039%

auto

auto

auto

FL, 05301

0.063%

auto

auto

auto

FL, 05701

0.048%

auto

auto

auto

FL, 05702

0.062%

auto

auto

auto

FL, 05703

0.047%

auto

auto

auto

FL, 05704

0.051%

auto

auto

auto

FL, 05705

0.05%

auto

auto

auto

FL, 05706

0.037%

auto

auto

auto

FL, 05707

0.058%

auto

auto

auto

FL, 05708

0.062%

auto

auto

auto

FL, 06100

0.058%

auto

auto

auto

FL, 06300

0.065%

auto

auto

auto

FL, 06901

0.038%

auto

auto

auto

FL, 06902

0.065%

auto

auto

auto

FL, 06903

0.054%

auto

auto

auto

FL, 07101

0.075%

auto

auto

auto

FL, 07102

0.063%

auto

auto

auto

FL, 07103

0.049%

auto

auto

auto

FL, 07104

0.043%

auto

auto

auto

FL, 07105

0.051%

auto

auto

auto

FL, 07300

0.045%

auto

auto

auto

FL, 07301

0.049%

auto

auto

auto

FL, 08101

0.04%

auto

auto

auto

FL, 08102

0.05%

auto

auto

auto

FL, 08103

0.044%

auto

auto

auto

FL, 08301

0.039%

auto

auto

auto

FL, 08302

0.035%

auto

auto

auto

FL, 08303

0.048%

auto

auto

auto

FL, 08500

0.059%

auto

auto

auto

FL, 08601

0.029%

auto

auto

auto

FL, 08602

0.023%

auto

auto

auto

FL, 08603

0.034%

auto

auto

auto

FL, 08604

0.057%

auto

auto

auto

FL, 08605

0.026%

auto

auto

auto

FL, 08606

0.026%

auto

auto

auto

FL, 08607

0.024%

auto

auto

auto

FL, 08608

0.032%

auto

auto

auto

FL, 08609

0.024%

auto

auto

auto

FL, 08610

0.027%

auto

auto

auto

FL, 08611

0.037%

auto

auto

auto

FL, 08612

0.055%

auto

auto

auto

FL, 08613

0.036%

auto

auto

auto

FL, 08614

0.045%

auto

auto

auto

FL, 08615

0.031%

auto

auto

auto

FL, 08616

0.03%

auto

auto

auto

FL, 08617

0.028%

auto

auto

auto

FL, 08618

0.024%

auto

auto

auto

FL, 08619

0.025%

auto

auto

auto

FL, 08620

0.029%

auto

auto

auto

FL, 08621

0.024%

auto

auto

auto

FL, 08622

0.025%

auto

auto

auto

FL, 08623

0.027%

auto

auto

auto

FL, 08624

0.025%

auto

auto

auto

FL, 08700

0.047%

auto

auto

auto

FL, 08900

0.034%

auto

auto

auto

FL, 09100

0.071%

auto

auto

auto

FL, 09300

0.034%

auto

auto

auto

FL, 09501

0.038%

auto

auto

auto

FL, 09502

0.036%

auto

auto

auto

FL, 09503

0.04%

auto

auto

auto

FL, 09504

0.041%

auto

auto

auto

FL, 09505

0.044%

auto

auto

auto

FL, 09506

0.035%

auto

auto

auto

FL, 09507

0.04%

auto

auto

auto

FL, 09508

0.031%

auto

auto

auto

FL, 09509

0.038%

auto

auto

auto

FL, 09510

0.035%

auto

auto

auto

FL, 09701

0.064%

auto

auto

auto

FL, 09702

0.037%

auto

auto

auto

FL, 09901

0.042%

auto

auto

auto

FL, 09902

0.046%

auto

auto

auto

FL, 09903

0.06%

auto

auto

auto

FL, 09904

0.041%

auto

auto

auto

FL, 09905

0.04%

auto

auto

auto

FL, 09906

0.06%

auto

auto

auto

FL, 09907

0.057%

auto

auto

auto

FL, 09908

0.048%

auto

auto

auto

FL, 09909

0.037%

auto

auto

auto

FL, 09910

0.034%

auto

auto

auto

FL, 09911

0.039%

auto

auto

auto

FL, 10101

0.042%

auto

auto

auto

FL, 10102

0.038%

auto

auto

auto

FL, 10103

0.054%

auto

auto

auto

FL, 10104

0.039%

auto

auto

auto

FL, 10301

0.046%

auto

auto

auto

FL, 10302

0.044%

auto

auto

auto

FL, 10303

0.042%

auto

auto

auto

FL, 10304

0.044%

auto

auto

auto

FL, 10305

0.049%

auto

auto

auto

FL, 10306

0.042%

auto

auto

auto

FL, 10307

0.061%

auto

auto

auto

FL, 10308

0.048%

auto

auto

auto

FL, 10501

0.059%

auto

auto

auto

FL, 10502

0.062%

auto

auto

auto

FL, 10503

0.042%

auto

auto

auto

FL, 10504

0.049%

auto

auto

auto

FL, 10700

0.038%

auto

auto

auto

FL, 10900

0.061%

auto

auto

auto

FL, 11101

0.046%

auto

auto

auto

FL, 11102

0.057%

auto

auto

auto

FL, 11300

0.05%

auto

auto

auto

FL, 11501

0.057%

auto

auto

auto

FL, 11502

0.062%

auto

auto

auto

FL, 11503

0.054%

auto

auto

auto

FL, 11701

0.037%

auto

auto

auto

FL, 11702

0.035%

auto

auto

auto

FL, 11703

0.035%

auto

auto

auto

FL, 11704

0.031%

auto

auto

auto

FL, 12100

0.035%

auto

auto

auto

FL, 12701

0.038%

auto

auto

auto

FL, 12702

0.053%

auto

auto

auto

FL, 12703

0.06%

auto

auto

auto

FL, 12704

0.037%

auto

auto

auto

GA, 00100

0.054%

auto

auto

auto

GA, 00200

0.035%

auto

auto

auto

GA, 00300

0.043%

auto

auto

auto

GA, 00401

0.055%

auto

auto

auto

GA, 00402

0.037%

auto

auto

auto

GA, 00500

0.053%

auto

auto

auto

GA, 00600

0.034%

auto

auto

auto

GA, 00700

0.042%

auto

auto

auto

GA, 00800

0.036%

auto

auto

auto

GA, 00900

0.038%

auto

auto

auto

GA, 01001

0.043%

auto

auto

auto

GA, 01002

0.03%

auto

auto

auto

GA, 01003

0.042%

auto

auto

auto

GA, 01004

0.036%

auto

auto

auto

GA, 01005

0.046%

auto

auto

auto

GA, 01006

0.049%

auto

auto

auto

GA, 01007

0.053%

auto

auto

auto

GA, 01008

0.037%

auto

auto

auto

GA, 01100

0.039%

auto

auto

auto

GA, 01200

0.05%

auto

auto

auto

GA, 01300

0.046%

auto

auto

auto

GA, 01400

0.052%

auto

auto

auto

GA, 01500

0.049%

auto

auto

auto

GA, 01600

0.06%

auto

auto

auto

GA, 01700

0.065%

auto

auto

auto

GA, 01800

0.057%

auto

auto

auto

GA, 01900

0.047%

auto

auto

auto

GA, 02001

0.039%

auto

auto

auto

GA, 02002

0.044%

auto

auto

auto

GA, 02003

0.052%

auto

auto

auto

GA, 02004

0.046%

auto

auto

auto

GA, 02100

0.039%

auto

auto

auto

GA, 02200

0.032%

auto

auto

auto

GA, 02300

0.033%

auto

auto

auto

GA, 02400

0.031%

auto

auto

auto

GA, 02500

0.052%

auto

auto

auto

GA, 02600

0.056%

auto

auto

auto

GA, 02700

0.03%

auto

auto

auto

GA, 02800

0.063%

auto

auto

auto

GA, 02900

0.03%

auto

auto

auto

GA, 03001

0.049%

auto

auto

auto

GA, 03002

0.037%

auto

auto

auto

GA, 03003

0.035%

auto

auto

auto

GA, 03004

0.056%

auto

auto

auto

GA, 03005

0.041%

auto

auto

auto

GA, 03101

0.031%

auto

auto

auto

GA, 03102

0.033%

auto

auto

auto

GA, 03200

0.055%

auto

auto

auto

GA, 03300

0.053%

auto

auto

auto

GA, 03400

0.052%

auto

auto

auto

GA, 03500

0.046%

auto

auto

auto

GA, 03600

0.039%

auto

auto

auto

GA, 03700

0.037%

auto

auto

auto

GA, 03800

0.038%

auto

auto

auto

GA, 03900

0.035%

auto

auto

auto

GA, 04000

0.065%

auto

auto

auto

GA, 04001

0.042%

auto

auto

auto

GA, 04002

0.029%

auto

auto

auto

GA, 04003

0.038%

auto

auto

auto

GA, 04004

0.028%

auto

auto

auto

GA, 04005

0.032%

auto

auto

auto

GA, 04006

0.054%

auto

auto

auto

GA, 04100

0.04%

auto

auto

auto

GA, 04200

0.045%

auto

auto

auto

GA, 04300

0.053%

auto

auto

auto

GA, 04400

0.039%

auto

auto

auto

GA, 04500

0.04%

auto

auto

auto

GA, 04600

0.046%

auto

auto

auto

GA, 05001

0.031%

auto

auto

auto

GA, 05002

0.047%

auto

auto

auto

GA, 06001

0.028%

auto

auto

auto

GA, 06002

0.03%

auto

auto

auto

HI, 00100

0.076%

auto

auto

auto

HI, 00200

0.064%

auto

auto

auto

HI, 00301

0.023%

auto

auto

auto

HI, 00302

0.027%

auto

auto

auto

HI, 00303

0.031%

auto

auto

auto

HI, 00304

0.052%

auto

auto

auto

HI, 00305

0.029%

auto

auto

auto

HI, 00306

0.036%

auto

auto

auto

HI, 00307

0.033%

auto

auto

auto

HI, 00308

0.026%

auto

auto

auto

IA, 00100

0.043%

auto

auto

auto

IA, 00200

0.042%

auto

auto

auto

IA, 00400

0.041%

auto

auto

auto

IA, 00500

0.042%

auto

auto

auto

IA, 00600

0.045%

auto

auto

auto

IA, 00700

0.05%

auto

auto

auto

IA, 00800

0.042%

auto

auto

auto

IA, 00900

0.055%

auto

auto

auto

IA, 01000

0.071%

auto

auto

auto

IA, 01100

0.044%

auto

auto

auto

IA, 01200

0.039%

auto

auto

auto

IA, 01300

0.037%

auto

auto

auto

IA, 01400

0.048%

auto

auto

auto

IA, 01500

0.057%

auto

auto

auto

IA, 01600

0.038%

auto

auto

auto

IA, 01700

0.064%

auto

auto

auto

IA, 01800

0.039%

auto

auto

auto

IA, 01900

0.043%

auto

auto

auto

IA, 02000

0.039%

auto

auto

auto

IA, 02100

0.06%

auto

auto

auto

IA, 02200

0.041%

auto

auto

auto

IA, 02300

0.036%

auto

auto

auto

ID, 00100

0.046%

auto

auto

auto

ID, 00200

0.046%

auto

auto

auto

ID, 00300

0.046%

auto

auto

auto

ID, 00400

0.033%

auto

auto

auto

ID, 00500

0.031%

auto

auto

auto

ID, 00600

0.033%

auto

auto

auto

ID, 00701

0.032%

auto

auto

auto

ID, 00702

0.034%

auto

auto

auto

ID, 00800

0.035%

auto

auto

auto

ID, 00900

0.03%

auto

auto

auto

ID, 01000

0.039%

auto

auto

auto

ID, 01100

0.038%

auto

auto

auto

ID, 01200

0.03%

auto

auto

auto

ID, 01300

0.038%

auto

auto

auto

IL, 00104

0.047%

auto

auto

auto

IL, 00105

0.049%

auto

auto

auto

IL, 00202

0.06%

auto

auto

auto

IL, 00300

0.038%

auto

auto

auto

IL, 00401

0.048%

auto

auto

auto

IL, 00501

0.044%

auto

auto

auto

IL, 00600

0.034%

auto

auto

auto

IL, 00700

0.036%

auto

auto

auto

IL, 00800

0.05%

auto

auto

auto

IL, 00900

0.065%

auto

auto

auto

IL, 01001

0.052%

auto

auto

auto

IL, 01104

0.049%

auto

auto

auto

IL, 01105

0.04%

auto

auto

auto

IL, 01204

0.037%

auto

auto

auto

IL, 01205

0.051%

auto

auto

auto

IL, 01300

0.068%

auto

auto

auto

IL, 01500

0.038%

auto

auto

auto

IL, 01602

0.048%

auto

auto

auto

IL, 01701

0.062%

auto

auto

auto

IL, 01900

0.043%

auto

auto

auto

IL, 02000

0.053%

auto

auto

auto

IL, 02100

0.067%

auto

auto

auto

IL, 02200

0.053%

auto

auto

auto

IL, 02300

0.034%

auto

auto

auto

IL, 02400

0.037%

auto

auto

auto

IL, 02501

0.05%

auto

auto

auto

IL, 02601

0.031%

auto

auto

auto

IL, 02700

0.033%

auto

auto

auto

IL, 02801

0.066%

auto

auto

auto

IL, 02901

0.042%

auto

auto

auto

IL, 03005

0.036%

auto

auto

auto

IL, 03007

0.033%

auto

auto

auto

IL, 03008

0.036%

auto

auto

auto

IL, 03009

0.032%

auto

auto

auto

IL, 03102

0.037%

auto

auto

auto

IL, 03105

0.035%

auto

auto

auto

IL, 03106

0.041%

auto

auto

auto

IL, 03107

0.032%

auto

auto

auto

IL, 03108

0.033%

auto

auto

auto

IL, 03202

0.034%

auto

auto

auto

IL, 03203

0.036%

auto

auto

auto

IL, 03204

0.045%

auto

auto

auto

IL, 03205

0.038%

auto

auto

auto

IL, 03207

0.032%

auto

auto

auto

IL, 03208

0.046%

auto

auto

auto

IL, 03209

0.035%

auto

auto

auto

IL, 03306

0.045%

auto

auto

auto

IL, 03307

0.038%

auto

auto

auto

IL, 03308

0.032%

auto

auto

auto

IL, 03309

0.041%

auto

auto

auto

IL, 03310

0.039%

auto

auto

auto

IL, 03401

0.038%

auto

auto

auto

IL, 03407

0.052%

auto

auto

auto

IL, 03408

0.05%

auto

auto

auto

IL, 03409

0.042%

auto

auto

auto

IL, 03410

0.05%

auto

auto

auto

IL, 03411

0.053%

auto

auto

auto

IL, 03412

0.033%

auto

auto

auto

IL, 03413

0.054%

auto

auto

auto

IL, 03414

0.052%

auto

auto

auto

IL, 03415

0.038%

auto

auto

auto

IL, 03416

0.041%

auto

auto

auto

IL, 03417

0.032%

auto

auto

auto

IL, 03418

0.032%

auto

auto

auto

IL, 03419

0.038%

auto

auto

auto

IL, 03420

0.056%

auto

auto

auto

IL, 03421

0.054%

auto

auto

auto

IL, 03422

0.039%

auto

auto

auto

IL, 03501

0.069%

auto

auto

auto

IL, 03502

0.069%

auto

auto

auto

IL, 03503

0.048%

auto

auto

auto

IL, 03504

0.041%

auto

auto

auto

IL, 03520

0.039%

auto

auto

auto

IL, 03521

0.05%

auto

auto

auto

IL, 03522

0.041%

auto

auto

auto

IL, 03523

0.053%

auto

auto

auto

IL, 03524

0.063%

auto

auto

auto

IL, 03525

0.075%

auto

auto

auto

IL, 03526

0.044%

auto

auto

auto

IL, 03527

0.035%

auto

auto

auto

IL, 03528

0.046%

auto

auto

auto

IL, 03529

0.074%

auto

auto

auto

IL, 03530

0.036%

auto

auto

auto

IL, 03531

0.045%

auto

auto

auto

IL, 03532

0.041%

auto

auto

auto

IL, 03601

0.037%

auto

auto

auto

IL, 03602

0.05%

auto

auto

auto

IL, 03700

0.046%

auto

auto

auto

IN, 00101

0.036%

auto

auto

auto

IN, 00102

0.047%

auto

auto

auto

IN, 00103

0.036%

auto

auto

auto

IN, 00104

0.038%

auto

auto

auto

IN, 00200

0.05%

auto

auto

auto

IN, 00300

0.036%

auto

auto

auto

IN, 00401

0.036%

auto

auto

auto

IN, 00402

0.05%

auto

auto

auto

IN, 00500

0.058%

auto

auto

auto

IN, 00600

0.054%

auto

auto

auto

IN, 00700

0.034%

auto

auto

auto

IN, 00800

0.043%

auto

auto

auto

IN, 00900

0.041%

auto

auto

auto

IN, 01001

0.045%

auto

auto

auto

IN, 01002

0.04%

auto

auto

auto

IN, 01003

0.03%

auto

auto

auto

IN, 01100

0.042%

auto

auto

auto

IN, 01200

0.055%

auto

auto

auto

IN, 01300

0.046%

auto

auto

auto

IN, 01400

0.045%

auto

auto

auto

IN, 01500

0.036%

auto

auto

auto

IN, 01600

0.035%

auto

auto

auto

IN, 01700

0.035%

auto

auto

auto

IN, 01801

0.035%

auto

auto

auto

IN, 01802

0.038%

auto

auto

auto

IN, 01803

0.032%

auto

auto

auto

IN, 01900

0.044%

auto

auto

auto

IN, 02000

0.039%

auto

auto

auto

IN, 02100

0.038%

auto

auto

auto

IN, 02200

0.044%

auto

auto

auto

IN, 02301

0.034%

auto

auto

auto

IN, 02302

0.04%

auto

auto

auto

IN, 02303

0.041%

auto

auto

auto

IN, 02304

0.046%

auto

auto

auto

IN, 02305

0.059%

auto

auto

auto

IN, 02306

0.049%

auto

auto

auto

IN, 02307

0.044%

auto

auto

auto

IN, 02400

0.044%

auto

auto

auto

IN, 02500

0.036%

auto

auto

auto

IN, 02600

0.039%

auto

auto

auto

IN, 02700

0.054%

auto

auto

auto

IN, 02800

0.045%

auto

auto

auto

IN, 02900

0.039%

auto

auto

auto

IN, 03000

0.036%

auto

auto

auto

IN, 03100

0.037%

auto

auto

auto

IN, 03200

0.038%

auto

auto

auto

IN, 03300

0.062%

auto

auto

auto

IN, 03400

0.047%

auto

auto

auto

IN, 03500

0.046%

auto

auto

auto

IN, 03600

0.037%

auto

auto

auto

KS, 00100

0.042%

auto

auto

auto

KS, 00200

0.053%

auto

auto

auto

KS, 00300

0.04%

auto

auto

auto

KS, 00400

0.036%

auto

auto

auto

KS, 00500

0.05%

auto

auto

auto

KS, 00601

0.035%

auto

auto

auto

KS, 00602

0.053%

auto

auto

auto

KS, 00603

0.043%

auto

auto

auto

KS, 00604

0.043%

auto

auto

auto

KS, 00700

0.036%

auto

auto

auto

KS, 00801

0.037%

auto

auto

auto

KS, 00802

0.038%

auto

auto

auto

KS, 00900

0.04%

auto

auto

auto

KS, 01000

0.034%

auto

auto

auto

KS, 01100

0.042%

auto

auto

auto

KS, 01200

0.039%

auto

auto

auto

KS, 01301

0.047%

auto

auto

auto

KS, 01302

0.05%

auto

auto

auto

KS, 01303

0.043%

auto

auto

auto

KS, 01304

0.051%

auto

auto

auto

KS, 01400

0.035%

auto

auto

auto

KS, 01500

0.046%

auto

auto

auto

KY, 00100

0.071%

auto

auto

auto

KY, 00200

0.038%

auto

auto

auto

KY, 00300

0.036%

auto

auto

auto

KY, 00400

0.059%

auto

auto

auto

KY, 00500

0.037%

auto

auto

auto

KY, 00600

0.038%

auto

auto

auto

KY, 00700

0.037%

auto

auto

auto

KY, 00800

0.036%

auto

auto

auto

KY, 00900

0.042%

auto

auto

auto

KY, 01000

0.039%

auto

auto

auto

KY, 01100

0.052%

auto

auto

auto

KY, 01200

0.034%

auto

auto

auto

KY, 01300

0.056%

auto

auto

auto

KY, 01400

0.035%

auto

auto

auto

KY, 01500

0.034%

auto

auto

auto

KY, 01600

0.032%

auto

auto

auto

KY, 01701

0.046%

auto

auto

auto

KY, 01702

0.044%

auto

auto

auto

KY, 01703

0.036%

auto

auto

auto

KY, 01704

0.043%

auto

auto

auto

KY, 01705

0.04%

auto

auto

auto

KY, 01706

0.046%

auto

auto

auto

KY, 01800

0.032%

auto

auto

auto

KY, 01901

0.04%

auto

auto

auto

KY, 01902

0.063%

auto

auto

auto

KY, 02000

0.04%

auto

auto

auto

KY, 02100

0.038%

auto

auto

auto

KY, 02200

0.036%

auto

auto

auto

KY, 02300

0.042%

auto

auto

auto

KY, 02400

0.052%

auto

auto

auto

KY, 02500

0.036%

auto

auto

auto

KY, 02600

0.052%

auto

auto

auto

KY, 02700

0.047%

auto

auto

auto

KY, 02800

0.045%

auto

auto

auto

LA, 00100

0.043%

auto

auto

auto

LA, 00101

0.041%

auto

auto

auto

LA, 00200

0.055%

auto

auto

auto

LA, 00300

0.063%

auto

auto

auto

LA, 00400

0.049%

auto

auto

auto

LA, 00500

0.053%

auto

auto

auto

LA, 00600

0.041%

auto

auto

auto

LA, 00700

0.059%

auto

auto

auto

LA, 00800

0.045%

auto

auto

auto

LA, 00900

0.05%

auto

auto

auto

LA, 01000

0.038%

auto

auto

auto

LA, 01100

0.039%

auto

auto

auto

LA, 01200

0.037%

auto

auto

auto

LA, 01201

0.036%

auto

auto

auto

LA, 01300

0.057%

auto

auto

auto

LA, 01400

0.036%

auto

auto

auto

LA, 01500

0.043%

auto

auto

auto

LA, 01501

0.062%

auto

auto

auto

LA, 01502

0.038%

auto

auto

auto

LA, 01600

0.033%

auto

auto

auto

LA, 01700

0.044%

auto

auto

auto

LA, 01800

0.055%

auto

auto

auto

LA, 01900

0.035%

auto

auto

auto

LA, 02000

0.037%

auto

auto

auto

LA, 02100

0.033%

auto

auto

auto

LA, 02200

0.039%

auto

auto

auto

LA, 02201

0.035%

auto

auto

auto

LA, 02300

0.037%

auto

auto

auto

LA, 02301

0.048%

auto

auto

auto

LA, 02302

0.041%

auto

auto

auto

LA, 02400

0.047%

auto

auto

auto

LA, 02401

0.048%

auto

auto

auto

LA, 02402

0.049%

auto

auto

auto

LA, 02500

0.036%

auto

auto

auto

MA, 00100

0.051%

auto

auto

auto

MA, 00200

0.037%

auto

auto

auto

MA, 00300

0.057%

auto

auto

auto

MA, 00301

0.038%

auto

auto

auto

MA, 00302

0.037%

auto

auto

auto

MA, 00303

0.034%

auto

auto

auto

MA, 00304

0.046%

auto

auto

auto

MA, 00400

0.033%

auto

auto

auto

MA, 00501

0.033%

auto

auto

auto

MA, 00502

0.031%

auto

auto

auto

MA, 00503

0.041%

auto

auto

auto

MA, 00504

0.045%

auto

auto

auto

MA, 00505

0.04%

auto

auto

auto

MA, 00506

0.036%

auto

auto

auto

MA, 00507

0.037%

auto

auto

auto

MA, 00508

0.036%

auto

auto

auto

MA, 00701

0.053%

auto

auto

auto

MA, 00702

0.031%

auto

auto

auto

MA, 00703

0.069%

auto

auto

auto

MA, 00704

0.031%

auto

auto

auto

MA, 01000

0.04%

auto

auto

auto

MA, 01300

0.035%

auto

auto

auto

MA, 01400

0.035%

auto

auto

auto

MA, 01600

0.047%

auto

auto

auto

MA, 01900

0.046%

auto

auto

auto

MA, 01901

0.045%

auto

auto

auto

MA, 01902

0.039%

auto

auto

auto

MA, 02400

0.034%

auto

auto

auto

MA, 02800

0.043%

auto

auto

auto

MA, 03301

0.033%

auto

auto

auto

MA, 03302

0.059%

auto

auto

auto

MA, 03303

0.038%

auto

auto

auto

MA, 03304

0.039%

auto

auto

auto

MA, 03305

0.041%

auto

auto

auto

MA, 03306

0.032%

auto

auto

auto

MA, 03400

0.044%

auto

auto

auto

MA, 03500

0.029%

auto

auto

auto

MA, 03601

0.036%

auto

auto

auto

MA, 03602

0.036%

auto

auto

auto

MA, 03603

0.039%

auto

auto

auto

MA, 03900

0.042%

auto

auto

auto

MA, 04000

0.036%

auto

auto

auto

MA, 04200

0.037%

auto

auto

auto

MA, 04301

0.036%

auto

auto

auto

MA, 04302

0.038%

auto

auto

auto

MA, 04303

0.037%

auto

auto

auto

MA, 04500

0.038%

auto

auto

auto

MA, 04700

0.059%

auto

auto

auto

MA, 04800

0.083%

auto

auto

auto

MA, 04901

0.032%

auto

auto

auto

MA, 04902

0.031%

auto

auto

auto

MA, 04903

0.041%

auto

auto

auto

MD, 00100

0.039%

auto

auto

auto

MD, 00200

0.046%

auto

auto

auto

MD, 00301

0.034%

auto

auto

auto

MD, 00302

0.036%

auto

auto

auto

MD, 00400

0.047%

auto

auto

auto

MD, 00501

0.036%

auto

auto

auto

MD, 00502

0.039%

auto

auto

auto

MD, 00503

0.037%

auto

auto

auto

MD, 00504

0.037%

auto

auto

auto

MD, 00505

0.034%

auto

auto

auto

MD, 00506

0.035%

auto

auto

auto

MD, 00507

0.033%

auto

auto

auto

MD, 00601

0.038%

auto

auto

auto

MD, 00602

0.035%

auto

auto

auto

MD, 00700

0.032%

auto

auto

auto

MD, 00801

0.05%

auto

auto

auto

MD, 00802

0.041%

auto

auto

auto

MD, 00803

0.039%

auto

auto

auto

MD, 00804

0.049%

auto

auto

auto

MD, 00805

0.043%

auto

auto

auto

MD, 00901

0.037%

auto

auto

auto

MD, 00902

0.049%

auto

auto

auto

MD, 01001

0.035%

auto

auto

auto

MD, 01002

0.036%

auto

auto

auto

MD, 01003

0.052%

auto

auto

auto

MD, 01004

0.059%

auto

auto

auto

MD, 01005

0.038%

auto

auto

auto

MD, 01006

0.033%

auto

auto

auto

MD, 01007

0.035%

auto

auto

auto

MD, 01101

0.027%

auto

auto

auto

MD, 01102

0.038%

auto

auto

auto

MD, 01103

0.029%

auto

auto

auto

MD, 01104

0.035%

auto

auto

auto

MD, 01105

0.048%

auto

auto

auto

MD, 01106

0.033%

auto

auto

auto

MD, 01107

0.037%

auto

auto

auto

MD, 01201

0.047%

auto

auto

auto

MD, 01202

0.034%

auto

auto

auto

MD, 01203

0.039%

auto

auto

auto

MD, 01204

0.044%

auto

auto

auto

MD, 01300

0.061%

auto

auto

auto

MD, 01400

0.081%

auto

auto

auto

MD, 01500

0.058%

auto

auto

auto

MD, 01600

0.043%

auto

auto

auto

ME, 00100

0.047%

auto

auto

auto

ME, 00200

0.077%

auto

auto

auto

ME, 00300

0.055%

auto

auto

auto

ME, 00400

0.046%

auto

auto

auto

ME, 00500

0.082%

auto

auto

auto

ME, 00600

0.037%

auto

auto

auto

ME, 00700

0.04%

auto

auto

auto

ME, 00800

0.074%

auto

auto

auto

ME, 00900

0.045%

auto

auto

auto

ME, 01000

0.04%

auto

auto

auto

MI, 00100

0.075%

auto

auto

auto

MI, 00200

0.063%

auto

auto

auto

MI, 00300

0.075%

auto

auto

auto

MI, 00400

0.07%

auto

auto

auto

MI, 00500

0.064%

auto

auto

auto

MI, 00600

0.055%

auto

auto

auto

MI, 00700

0.055%

auto

auto

auto

MI, 00801

0.044%

auto

auto

auto

MI, 00802

0.034%

auto

auto

auto

MI, 00900

0.037%

auto

auto

auto

MI, 01001

0.043%

auto

auto

auto

MI, 01002

0.06%

auto

auto

auto

MI, 01003

0.048%

auto

auto

auto

MI, 01004

0.035%

auto

auto

auto

MI, 01100

0.065%

auto

auto

auto

MI, 01200

0.051%

auto

auto

auto

MI, 01300

0.066%

auto

auto

auto

MI, 01400

0.063%

auto

auto

auto

MI, 01500

0.065%

auto

auto

auto

MI, 01600

0.051%

auto

auto

auto

MI, 01701

0.058%

auto

auto

auto

MI, 01702

0.036%

auto

auto

auto

MI, 01703

0.04%

auto

auto

auto

MI, 01704

0.058%

auto

auto

auto

MI, 01801

0.05%

auto

auto

auto

MI, 01802

0.041%

auto

auto

auto

MI, 01900

0.058%

auto

auto

auto

MI, 02000

0.065%

auto

auto

auto

MI, 02101

0.043%

auto

auto

auto

MI, 02102

0.04%

auto

auto

auto

MI, 02200

0.036%

auto

auto

auto

MI, 02300

0.047%

auto

auto

auto

MI, 02400

0.057%

auto

auto

auto

MI, 02500

0.049%

auto

auto

auto

MI, 02600

0.052%

auto

auto

auto

MI, 02701

0.032%

auto

auto

auto

MI, 02702

0.038%

auto

auto

auto

MI, 02703

0.041%

auto

auto

auto

MI, 02800

0.056%

auto

auto

auto

MI, 02901

0.04%

auto

auto

auto

MI, 02902

0.039%

auto

auto

auto

MI, 02903

0.051%

auto

auto

auto

MI, 02904

0.052%

auto

auto

auto

MI, 02905

0.039%

auto

auto

auto

MI, 02906

0.048%

auto

auto

auto

MI, 02907

0.059%

auto

auto

auto

MI, 02908

0.07%

auto

auto

auto

MI, 03001

0.036%

auto

auto

auto

MI, 03002

0.047%

auto

auto

auto

MI, 03003

0.039%

auto

auto

auto

MI, 03004

0.054%

auto

auto

auto

MI, 03005

0.047%

auto

auto

auto

MI, 03006

0.047%

auto

auto

auto

MI, 03100

0.054%

auto

auto

auto

MI, 03201

0.057%

auto

auto

auto

MI, 03202

0.044%

auto

auto

auto

MI, 03203

0.042%

auto

auto

auto

MI, 03204

0.05%

auto

auto

auto

MI, 03205

0.034%

auto

auto

auto

MI, 03206

0.042%

auto

auto

auto

MI, 03207

0.039%

auto

auto

auto

MI, 03208

0.059%

auto

auto

auto

MI, 03209

0.048%

auto

auto

auto

MI, 03210

0.047%

auto

auto

auto

MI, 03211

0.059%

auto

auto

auto

MI, 03212

0.051%

auto

auto

auto

MI, 03213

0.038%

auto

auto

auto

MI, 03300

0.047%

auto

auto

auto

MN, 00100

0.049%

auto

auto

auto

MN, 00200

0.049%

auto

auto

auto

MN, 00300

0.062%

auto

auto

auto

MN, 00400

0.061%

auto

auto

auto

MN, 00500

0.033%

auto

auto

auto

MN, 00600

0.056%

auto

auto

auto

MN, 00700

0.057%

auto

auto

auto

MN, 00800

0.062%

auto

auto

auto

MN, 00900

0.047%

auto

auto

auto

MN, 01000

0.037%

auto

auto

auto

MN, 01101

0.029%

auto

auto

auto

MN, 01102

0.035%

auto

auto

auto

MN, 01103

0.032%

auto

auto

auto

MN, 01201

0.038%

auto

auto

auto

MN, 01202

0.033%

auto

auto

auto

MN, 01301

0.04%

auto

auto

auto

MN, 01302

0.033%

auto

auto

auto

MN, 01303

0.039%

auto

auto

auto

MN, 01304

0.05%

auto

auto

auto

MN, 01401

0.034%

auto

auto

auto

MN, 01402

0.034%

auto

auto

auto

MN, 01403

0.032%

auto

auto

auto

MN, 01404

0.034%

auto

auto

auto

MN, 01405

0.042%

auto

auto

auto

MN, 01406

0.04%

auto

auto

auto

MN, 01407

0.054%

auto

auto

auto

MN, 01408

0.041%

auto

auto

auto

MN, 01409

0.037%

auto

auto

auto

MN, 01410

0.04%

auto

auto

auto

MN, 01501

0.047%

auto

auto

auto

MN, 01502

0.04%

auto

auto

auto

MN, 01503

0.034%

auto

auto

auto

MN, 01600

0.033%

auto

auto

auto

MN, 01700

0.031%

auto

auto

auto

MN, 01800

0.037%

auto

auto

auto

MN, 01900

0.045%

auto

auto

auto

MN, 02000

0.035%

auto

auto

auto

MN, 02100

0.04%

auto

auto

auto

MN, 02200

0.036%

auto

auto

auto

MN, 02300

0.043%

auto

auto

auto

MN, 02400

0.041%

auto

auto

auto

MN, 02500

0.046%

auto

auto

auto

MN, 02600

0.037%

auto

auto

auto

MO, 00100

0.041%

auto

auto

auto

MO, 00200

0.037%

auto

auto

auto

MO, 00300

0.045%

auto

auto

auto

MO, 00400

0.045%

auto

auto

auto

MO, 00500

0.048%

auto

auto

auto

MO, 00600

0.055%

auto

auto

auto

MO, 00700

0.045%

auto

auto

auto

MO, 00800

0.045%

auto

auto

auto

MO, 00901

0.031%

auto

auto

auto

MO, 00902

0.036%

auto

auto

auto

MO, 00903

0.034%

auto

auto

auto

MO, 01001

0.07%

auto

auto

auto

MO, 01002

0.044%

auto

auto

auto

MO, 01003

0.038%

auto

auto

auto

MO, 01004

0.03%

auto

auto

auto

MO, 01005

0.052%

auto

auto

auto

MO, 01100

0.036%

auto

auto

auto

MO, 01200

0.044%

auto

auto

auto

MO, 01300

0.043%

auto

auto

auto

MO, 01400

0.066%

auto

auto

auto

MO, 01500

0.039%

auto

auto

auto

MO, 01600

0.033%

auto

auto

auto

MO, 01701

0.032%

auto

auto

auto

MO, 01702

0.038%

auto

auto

auto

MO, 01703

0.041%

auto

auto

auto

MO, 01801

0.04%

auto

auto

auto

MO, 01802

0.041%

auto

auto

auto

MO, 01803

0.04%

auto

auto

auto

MO, 01804

0.037%

auto

auto

auto

MO, 01805

0.04%

auto

auto

auto

MO, 01806

0.035%

auto

auto

auto

MO, 01807

0.054%

auto

auto

auto

MO, 01808

0.041%

auto

auto

auto

MO, 01901

0.057%

auto

auto

auto

MO, 01902

0.074%

auto

auto

auto

MO, 02001

0.033%

auto

auto

auto

MO, 02002

0.033%

auto

auto

auto

MO, 02100

0.043%

auto

auto

auto

MO, 02200

0.042%

auto

auto

auto

MO, 02300

0.038%

auto

auto

auto

MO, 02400

0.039%

auto

auto

auto

MO, 02500

0.045%

auto

auto

auto

MO, 02601

0.047%

auto

auto

auto

MO, 02602

0.042%

auto

auto

auto

MO, 02603

0.042%

auto

auto

auto

MO, 02700

0.058%

auto

auto

auto

MO, 02800

0.056%

auto

auto

auto

MS, 00100

0.048%

auto

auto

auto

MS, 00200

0.05%

auto

auto

auto

MS, 00300

0.038%

auto

auto

auto

MS, 00400

0.049%

auto

auto

auto

MS, 00500

0.045%

auto

auto

auto

MS, 00600

0.06%

auto

auto

auto

MS, 00700

0.043%

auto

auto

auto

MS, 00800

0.039%

auto

auto

auto

MS, 00900

0.031%

auto

auto

auto

MS, 01000

0.034%

auto

auto

auto

MS, 01100

0.044%

auto

auto

auto

MS, 01200

0.033%

auto

auto

auto

MS, 01300

0.052%

auto

auto

auto

MS, 01400

0.04%

auto

auto

auto

MS, 01500

0.039%

auto

auto

auto

MS, 01600

0.063%

auto

auto

auto

MS, 01700

0.043%

auto

auto

auto

MS, 01800

0.055%

auto

auto

auto

MS, 01900

0.048%

auto

auto

auto

MS, 02000

0.067%

auto

auto

auto

MS, 02100

0.046%

auto

auto

auto

MT, 00100

0.048%

auto

auto

auto

MT, 00200

0.072%

auto

auto

auto

MT, 00300

0.058%

auto

auto

auto

MT, 00400

0.052%

auto

auto

auto

MT, 00500

0.05%

auto

auto

auto

MT, 00600

0.051%

auto

auto

auto

MT, 00700

0.035%

auto

auto

auto

NC, 00100

0.063%

auto

auto

auto

NC, 00200

0.056%

auto

auto

auto

NC, 00300

0.049%

auto

auto

auto

NC, 00400

0.039%

auto

auto

auto

NC, 00500

0.04%

auto

auto

auto

NC, 00600

0.039%

auto

auto

auto

NC, 00700

0.041%

auto

auto

auto

NC, 00800

0.05%

auto

auto

auto

NC, 00900

0.05%

auto

auto

auto

NC, 01000

0.033%

auto

auto

auto

NC, 01100

0.052%

auto

auto

auto

NC, 01201

0.043%

auto

auto

auto

NC, 01202

0.048%

auto

auto

auto

NC, 01203

0.033%

auto

auto

auto

NC, 01204

0.034%

auto

auto

auto

NC, 01205

0.033%

auto

auto

auto

NC, 01206

0.037%

auto

auto

auto

NC, 01207

0.041%

auto

auto

auto

NC, 01208

0.031%

auto

auto

auto

NC, 01301

0.054%

auto

auto

auto

NC, 01302

0.042%

auto

auto

auto

NC, 01400

0.042%

auto

auto

auto

NC, 01500

0.04%

auto

auto

auto

NC, 01600

0.051%

auto

auto

auto

NC, 01701

0.047%

auto

auto

auto

NC, 01702

0.039%

auto

auto

auto

NC, 01703

0.036%

auto

auto

auto

NC, 01704

0.044%

auto

auto

auto

NC, 01801

0.036%

auto

auto

auto

NC, 01802

0.042%

auto

auto

auto

NC, 01803

0.043%

auto

auto

auto

NC, 01900

0.035%

auto

auto

auto

NC, 02000

0.04%

auto

auto

auto

NC, 02100

0.046%

auto

auto

auto

NC, 02201

0.044%

auto

auto

auto

NC, 02202

0.042%

auto

auto

auto

NC, 02300

0.048%

auto

auto

auto

NC, 02400

0.055%

auto

auto

auto

NC, 02500

0.056%

auto

auto

auto

NC, 02600

0.05%

auto

auto

auto

NC, 02700

0.041%

auto

auto

auto

NC, 02800

0.051%

auto

auto

auto

NC, 02900

0.044%

auto

auto

auto

NC, 03001

0.033%

auto

auto

auto

NC, 03002

0.034%

auto

auto

auto

NC, 03101

0.04%

auto

auto

auto

NC, 03102

0.037%

auto

auto

auto

NC, 03103

0.035%

auto

auto

auto

NC, 03104

0.049%

auto

auto

auto

NC, 03105

0.037%

auto

auto

auto

NC, 03106

0.045%

auto

auto

auto

NC, 03107

0.036%

auto

auto

auto

NC, 03108

0.035%

auto

auto

auto

NC, 03200

0.042%

auto

auto

auto

NC, 03300

0.034%

auto

auto

auto

NC, 03400

0.045%

auto

auto

auto

NC, 03500

0.054%

auto

auto

auto

NC, 03600

0.046%

auto

auto

auto

NC, 03700

0.046%

auto

auto

auto

NC, 03800

0.037%

auto

auto

auto

NC, 03900

0.039%

auto

auto

auto

NC, 04000

0.04%

auto

auto

auto

NC, 04100

0.037%

auto

auto

auto

NC, 04200

0.057%

auto

auto

auto

NC, 04300

0.034%

auto

auto

auto

NC, 04400

0.061%

auto

auto

auto

NC, 04500

0.044%

auto

auto

auto

NC, 04600

0.038%

auto

auto

auto

NC, 04700

0.062%

auto

auto

auto

NC, 04800

0.061%

auto

auto

auto

NC, 04900

0.037%

auto

auto

auto

NC, 05001

0.041%

auto

auto

auto

NC, 05002

0.032%

auto

auto

auto

NC, 05003

0.034%

auto

auto

auto

NC, 05100

0.035%

auto

auto

auto

NC, 05200

0.042%

auto

auto

auto

NC, 05300

0.035%

auto

auto

auto

NC, 05400

0.031%

auto

auto

auto

ND, 00100

0.075%

auto

auto

auto

ND, 00200

0.047%

auto

auto

auto

ND, 00300

0.045%

auto

auto

auto

ND, 00400

0.038%

auto

auto

auto

ND, 00500

0.056%

auto

auto

auto

NE, 00100

0.041%

auto

auto

auto

NE, 00200

0.059%

auto

auto

auto

NE, 00300

0.036%

auto

auto

auto

NE, 00400

0.039%

auto

auto

auto

NE, 00500

0.039%

auto

auto

auto

NE, 00600

0.048%

auto

auto

auto

NE, 00701

0.034%

auto

auto

auto

NE, 00702

0.049%

auto

auto

auto

NE, 00801

0.051%

auto

auto

auto

NE, 00802

0.042%

auto

auto

auto

NE, 00901

0.054%

auto

auto

auto

NE, 00902

0.046%

auto

auto

auto

NE, 00903

0.034%

auto

auto

auto

NE, 00904

0.035%

auto

auto

auto

NH, 00100

0.054%

auto

auto

auto

NH, 00200

0.062%

auto

auto

auto

NH, 00300

0.049%

auto

auto

auto

NH, 00400

0.036%

auto

auto

auto

NH, 00500

0.043%

auto

auto

auto

NH, 00600

0.034%

auto

auto

auto

NH, 00700

0.044%

auto

auto

auto

NH, 00800

0.037%

auto

auto

auto

NH, 00900

0.04%

auto

auto

auto

NH, 01000

0.064%

auto

auto

auto

NJ, 00101

0.046%

auto

auto

auto

NJ, 00102

0.045%

auto

auto

auto

NJ, 00301

0.034%

auto

auto

auto

NJ, 00302

0.036%

auto

auto

auto

NJ, 00303

0.046%

auto

auto

auto

NJ, 00304

0.035%

auto

auto

auto

NJ, 00305

0.028%

auto

auto

auto

NJ, 00306

0.029%

auto

auto

auto

NJ, 00307

0.03%

auto

auto

auto

NJ, 00308

0.027%

auto

auto

auto

NJ, 00400

0.037%

auto

auto

auto

NJ, 00501

0.035%

auto

auto

auto

NJ, 00502

0.03%

auto

auto

auto

NJ, 00503

0.03%

auto

auto

auto

NJ, 00601

0.048%

auto

auto

auto

NJ, 00602

0.034%

auto

auto

auto

NJ, 00701

0.042%

auto

auto

auto

NJ, 00702

0.045%

auto

auto

auto

NJ, 00703

0.038%

auto

auto

auto

NJ, 00800

0.037%

auto

auto

auto

NJ, 00901

0.036%

auto

auto

auto

NJ, 00902

0.033%

auto

auto

auto

NJ, 00903

0.029%

auto

auto

auto

NJ, 00904

0.03%

auto

auto

auto

NJ, 00905

0.029%

auto

auto

auto

NJ, 00906

0.036%

auto

auto

auto

NJ, 00907

0.03%

auto

auto

auto

NJ, 01001

0.03%

auto

auto

auto

NJ, 01002

0.03%

auto

auto

auto

NJ, 01003

0.033%

auto

auto

auto

NJ, 01101

0.039%

auto

auto

auto

NJ, 01102

0.03%

auto

auto

auto

NJ, 01103

0.037%

auto

auto

auto

NJ, 01104

0.031%

auto

auto

auto

NJ, 01105

0.031%

auto

auto

auto

NJ, 01106

0.027%

auto

auto

auto

NJ, 01201

0.054%

auto

auto

auto

NJ, 01202

0.042%

auto

auto

auto

NJ, 01203

0.035%

auto

auto

auto

NJ, 01204

0.038%

auto

auto

auto

NJ, 01205

0.041%

auto

auto

auto

NJ, 01301

0.044%

auto

auto

auto

NJ, 01302

0.039%

auto

auto

auto

NJ, 01401

0.033%

auto

auto

auto

NJ, 01402

0.061%

auto

auto

auto

NJ, 01403

0.031%

auto

auto

auto

NJ, 01404

0.028%

auto

auto

auto

NJ, 01501

0.038%

auto

auto

auto

NJ, 01502

0.037%

auto

auto

auto

NJ, 01503

0.032%

auto

auto

auto

NJ, 01504

0.035%

auto

auto

auto

NJ, 01600

0.046%

auto

auto

auto

NJ, 01700

0.034%

auto

auto

auto

NJ, 01800

0.033%

auto

auto

auto

NJ, 01901

0.03%

auto

auto

auto

NJ, 01902

0.029%

auto

auto

auto

NJ, 01903

0.027%

auto

auto

auto

NJ, 01904

0.031%

auto

auto

auto

NJ, 02001

0.039%

auto

auto

auto

NJ, 02002

0.048%

auto

auto

auto

NJ, 02003

0.046%

auto

auto

auto

NJ, 02101

0.037%

auto

auto

auto

NJ, 02102

0.04%

auto

auto

auto

NJ, 02103

0.042%

auto

auto

auto

NJ, 02104

0.035%

auto

auto

auto

NJ, 02201

0.038%

auto

auto

auto

NJ, 02202

0.045%

auto

auto

auto

NJ, 02301

0.036%

auto

auto

auto

NJ, 02302

0.041%

auto

auto

auto

NJ, 02303

0.03%

auto

auto

auto

NJ, 02400

0.032%

auto

auto

auto

NJ, 02500

0.031%

auto

auto

auto

NJ, 02600

0.078%

auto

auto

auto

NM, 00100

0.036%

auto

auto

auto

NM, 00200

0.029%

auto

auto

auto

NM, 00300

0.05%

auto

auto

auto

NM, 00400

0.038%

auto

auto

auto

NM, 00500

0.054%

auto

auto

auto

NM, 00600

0.04%

auto

auto

auto

NM, 00700

0.031%

auto

auto

auto

NM, 00801

0.035%

auto

auto

auto

NM, 00802

0.036%

auto

auto

auto

NM, 00803

0.035%

auto

auto

auto

NM, 00804

0.036%

auto

auto

auto

NM, 00805

0.036%

auto

auto

auto

NM, 00806

0.029%

auto

auto

auto

NM, 00900

0.042%

auto

auto

auto

NM, 01001

0.028%

auto

auto

auto

NM, 01002

0.035%

auto

auto

auto

NM, 01100

0.056%

auto

auto

auto

NM, 01200

0.036%

auto

auto

auto

NV, 00101

0.062%

auto

auto

auto

NV, 00102

0.037%

auto

auto

auto

NV, 00103

0.042%

auto

auto

auto

NV, 00200

0.053%

auto

auto

auto

NV, 00300

0.057%

auto

auto

auto

NV, 00401

0.042%

auto

auto

auto

NV, 00402

0.037%

auto

auto

auto

NV, 00403

0.047%

auto

auto

auto

NV, 00404

0.042%

auto

auto

auto

NV, 00405

0.038%

auto

auto

auto

NV, 00406

0.042%

auto

auto

auto

NV, 00407

0.052%

auto

auto

auto

NV, 00408

0.068%

auto

auto

auto

NV, 00409

0.066%

auto

auto

auto

NV, 00410

0.044%

auto

auto

auto

NV, 00411

0.07%

auto

auto

auto

NV, 00412

0.05%

auto

auto

auto

NV, 00413

0.049%

auto

auto

auto

NY, 00100

0.039%

auto

auto

auto

NY, 00200

0.071%

auto

auto

auto

NY, 00300

0.051%

auto

auto

auto

NY, 00401

0.043%

auto

auto

auto

NY, 00402

0.053%

auto

auto

auto

NY, 00403

0.042%

auto

auto

auto

NY, 00500

0.055%

auto

auto

auto

NY, 00600

0.04%

auto

auto

auto

NY, 00701

0.049%

auto

auto

auto

NY, 00702

0.04%

auto

auto

auto

NY, 00703

0.052%

auto

auto

auto

NY, 00704

0.039%

auto

auto

auto

NY, 00800

0.043%

auto

auto

auto

NY, 00901

0.043%

auto

auto

auto

NY, 00902

0.039%

auto

auto

auto

NY, 00903

0.034%

auto

auto

auto

NY, 00904

0.041%

auto

auto

auto

NY, 00905

0.031%

auto

auto

auto

NY, 00906

0.054%

auto

auto

auto

NY, 01000

0.033%

auto

auto

auto

NY, 01101

0.039%

auto

auto

auto

NY, 01102

0.035%

auto

auto

auto

NY, 01201

0.038%

auto

auto

auto

NY, 01202

0.039%

auto

auto

auto

NY, 01203

0.033%

auto

auto

auto

NY, 01204

0.053%

auto

auto

auto

NY, 01205

0.054%

auto

auto

auto

NY, 01206

0.043%

auto

auto

auto

NY, 01207

0.054%

auto

auto

auto

NY, 01300

0.034%

auto

auto

auto

NY, 01400

0.047%

auto

auto

auto

NY, 01500

0.039%

auto

auto

auto

NY, 01600

0.039%

auto

auto

auto

NY, 01700

0.051%

auto

auto

auto

NY, 01801

0.037%

auto

auto

auto

NY, 01802

0.039%

auto

auto

auto

NY, 01900

0.054%

auto

auto

auto

NY, 02001

0.039%

auto

auto

auto

NY, 02002

0.065%

auto

auto

auto

NY, 02100

0.046%

auto

auto

auto

NY, 02201

0.043%

auto

auto

auto

NY, 02202

0.035%

auto

auto

auto

NY, 02203

0.047%

auto

auto

auto

NY, 02300

0.031%

auto

auto

auto

NY, 02401

0.035%

auto

auto

auto

NY, 02402

0.038%

auto

auto

auto

NY, 02500

0.05%

auto

auto

auto

NY, 02600

0.05%

auto

auto

auto

NY, 02701

0.053%

auto

auto

auto

NY, 02702

0.047%

auto

auto

auto

NY, 02801

0.039%

auto

auto

auto

NY, 02802

0.05%

auto

auto

auto

NY, 02901

0.035%

auto

auto

auto

NY, 02902

0.036%

auto

auto

auto

NY, 02903

0.033%

auto

auto

auto

NY, 03001

0.027%

auto

auto

auto

NY, 03002

0.029%

auto

auto

auto

NY, 03003

0.022%

auto

auto

auto

NY, 03101

0.03%

auto

auto

auto

NY, 03102

0.041%

auto

auto

auto

NY, 03103

0.038%

auto

auto

auto

NY, 03104

0.032%

auto

auto

auto

NY, 03105

0.048%

auto

auto

auto

NY, 03106

0.061%

auto

auto

auto

NY, 03107

0.056%

auto

auto

auto

NY, 03201

0.032%

auto

auto

auto

NY, 03202

0.03%

auto

auto

auto

NY, 03203

0.026%

auto

auto

auto

NY, 03204

0.029%

auto

auto

auto

NY, 03205

0.028%

auto

auto

auto

NY, 03206

0.033%

auto

auto

auto

NY, 03207

0.028%

auto

auto

auto

NY, 03208

0.029%

auto

auto

auto

NY, 03209

0.026%

auto

auto

auto

NY, 03210

0.028%

auto

auto

auto

NY, 03211

0.027%

auto

auto

auto

NY, 03212

0.031%

auto

auto

auto

NY, 03301

0.029%

auto

auto

auto

NY, 03302

0.027%

auto

auto

auto

NY, 03303

0.031%

auto

auto

auto

NY, 03304

0.031%

auto

auto

auto

NY, 03305

0.074%

auto

auto

auto

NY, 03306

0.037%

auto

auto

auto

NY, 03307

0.035%

auto

auto

auto

NY, 03308

0.027%

auto

auto

auto

NY, 03309

0.027%

auto

auto

auto

NY, 03310

0.026%

auto

auto

auto

NY, 03311

0.028%

auto

auto

auto

NY, 03312

0.026%

auto

auto

auto

NY, 03313

0.028%

auto

auto

auto

NY, 03701

0.034%

auto

auto

auto

NY, 03702

0.038%

auto

auto

auto

NY, 03703

0.037%

auto

auto

auto

NY, 03704

0.035%

auto

auto

auto

NY, 03705

0.045%

auto

auto

auto

NY, 03706

0.035%

auto

auto

auto

NY, 03707

0.036%

auto

auto

auto

NY, 03708

0.038%

auto

auto

auto

NY, 03709

0.051%

auto

auto

auto

NY, 03710

0.04%

auto

auto

auto

NY, 03801

0.059%

auto

auto

auto

NY, 03802

0.038%

auto

auto

auto

NY, 03803

0.045%

auto

auto

auto

NY, 03804

0.038%

auto

auto

auto

NY, 03805

0.1%

auto

auto

auto

NY, 03806

0.088%

auto

auto

auto

NY, 03807

0.078%

auto

auto

auto

NY, 03808

0.072%

auto

auto

auto

NY, 03809

0.058%

auto

auto

auto

NY, 03810

0.069%

auto

auto

auto

NY, 03901

0.045%

auto

auto

auto

NY, 03902

0.038%

auto

auto

auto

NY, 03903

0.05%

auto

auto

auto

NY, 04001

0.05%

auto

auto

auto

NY, 04002

0.037%

auto

auto

auto

NY, 04003

0.043%

auto

auto

auto

NY, 04004

0.047%

auto

auto

auto

NY, 04005

0.04%

auto

auto

auto

NY, 04006

0.043%

auto

auto

auto

NY, 04007

0.036%

auto

auto

auto

NY, 04008

0.045%

auto

auto

auto

NY, 04009

0.055%

auto

auto

auto

NY, 04010

0.041%

auto

auto

auto

NY, 04011

0.034%

auto

auto

auto

NY, 04012

0.037%

auto

auto

auto

NY, 04013

0.04%

auto

auto

auto

NY, 04014

0.037%

auto

auto

auto

NY, 04015

0.045%

auto

auto

auto

NY, 04016

0.046%

auto

auto

auto

NY, 04017

0.05%

auto

auto

auto

NY, 04018

0.036%

auto

auto

auto

NY, 04101

0.06%

auto

auto

auto

NY, 04102

0.045%

auto

auto

auto

NY, 04103

0.071%

auto

auto

auto

NY, 04104

0.034%

auto

auto

auto

NY, 04105

0.048%

auto

auto

auto

NY, 04106

0.044%

auto

auto

auto

NY, 04107

0.035%

auto

auto

auto

NY, 04108

0.041%

auto

auto

auto

NY, 04109

0.043%

auto

auto

auto

NY, 04110

0.05%

auto

auto

auto

NY, 04111

0.036%

auto

auto

auto

NY, 04112

0.057%

auto

auto

auto

NY, 04113

0.032%

auto

auto

auto

NY, 04114

0.034%

auto

auto

auto

OH, 00100

0.04%

auto

auto

auto

OH, 00200

0.035%

auto

auto

auto

OH, 00300

0.047%

auto

auto

auto

OH, 00400

0.049%

auto

auto

auto

OH, 00500

0.051%

auto

auto

auto

OH, 00600

0.042%

auto

auto

auto

OH, 00700

0.048%

auto

auto

auto

OH, 00801

0.046%

auto

auto

auto

OH, 00802

0.05%

auto

auto

auto

OH, 00901

0.033%

auto

auto

auto

OH, 00902

0.05%

auto

auto

auto

OH, 00903

0.036%

auto

auto

auto

OH, 00904

0.042%

auto

auto

auto

OH, 00905

0.039%

auto

auto

auto

OH, 00906

0.048%

auto

auto

auto

OH, 00907

0.038%

auto

auto

auto

OH, 00908

0.072%

auto

auto

auto

OH, 00909

0.057%

auto

auto

auto

OH, 00910

0.047%

auto

auto

auto

OH, 01000

0.035%

auto

auto

auto

OH, 01100

0.034%

auto

auto

auto

OH, 01200

0.034%

auto

auto

auto

OH, 01300

0.034%

auto

auto

auto

OH, 01400

0.043%

auto

auto

auto

OH, 01500

0.07%

auto

auto

auto

OH, 01600

0.041%

auto

auto

auto

OH, 01700

0.051%

auto

auto

auto

OH, 01801

0.035%

auto

auto

auto

OH, 01802

0.036%

auto

auto

auto

OH, 01803

0.037%

auto

auto

auto

OH, 01804

0.041%

auto

auto

auto

OH, 01805

0.034%

auto

auto

auto

OH, 01900

0.053%

auto

auto

auto

OH, 02000

0.034%

auto

auto

auto

OH, 02100

0.035%

auto

auto

auto

OH, 02200

0.04%

auto

auto

auto

OH, 02300

0.04%

auto

auto

auto

OH, 02400

0.035%

auto

auto

auto

OH, 02500

0.033%

auto

auto

auto

OH, 02600

0.037%

auto

auto

auto

OH, 02700

0.04%

auto

auto

auto

OH, 02800

0.05%

auto

auto

auto

OH, 02900

0.037%

auto

auto

auto

OH, 03000

0.036%

auto

auto

auto

OH, 03100

0.045%

auto

auto

auto

OH, 03200

0.049%

auto

auto

auto

OH, 03300

0.04%

auto

auto

auto

OH, 03400

0.035%

auto

auto

auto

OH, 03500

0.048%

auto

auto

auto

OH, 03600

0.037%

auto

auto

auto

OH, 03700

0.039%

auto

auto

auto

OH, 03800

0.052%

auto

auto

auto

OH, 03900

0.044%

auto

auto

auto

OH, 04000

0.052%

auto

auto

auto

OH, 04101

0.035%

auto

auto

auto

OH, 04102

0.034%

auto

auto

auto

OH, 04103

0.035%

auto

auto

auto

OH, 04104

0.037%

auto

auto

auto

OH, 04105

0.04%

auto

auto

auto

OH, 04106

0.044%

auto

auto

auto

OH, 04107

0.039%

auto

auto

auto

OH, 04108

0.04%

auto

auto

auto

OH, 04109

0.032%

auto

auto

auto

OH, 04110

0.035%

auto

auto

auto

OH, 04111

0.032%

auto

auto

auto

OH, 04200

0.043%

auto

auto

auto

OH, 04300

0.046%

auto

auto

auto

OH, 04400

0.033%

auto

auto

auto

OH, 04500

0.045%

auto

auto

auto

OH, 04601

0.037%

auto

auto

auto

OH, 04602

0.044%

auto

auto

auto

OH, 04603

0.066%

auto

auto

auto

OH, 04604

0.043%

auto

auto

auto

OH, 04700

0.052%

auto

auto

auto

OH, 04800

0.033%

auto

auto

auto

OH, 04900

0.035%

auto

auto

auto

OH, 05000

0.038%

auto

auto

auto

OH, 05100

0.046%

auto

auto

auto

OH, 05200

0.037%

auto

auto

auto

OH, 05301

0.03%

auto

auto

auto

OH, 05302

0.032%

auto

auto

auto

OH, 05401

0.031%

auto

auto

auto

OH, 05402

0.043%

auto

auto

auto

OH, 05403

0.038%

auto

auto

auto

OH, 05501

0.033%

auto

auto

auto

OH, 05502

0.048%

auto

auto

auto

OH, 05503

0.042%

auto

auto

auto

OH, 05504

0.049%

auto

auto

auto

OH, 05505

0.042%

auto

auto

auto

OH, 05506

0.035%

auto

auto

auto

OH, 05507

0.032%

auto

auto

auto

OH, 05600

0.04%

auto

auto

auto

OH, 05700

0.035%

auto

auto

auto

OK, 00100

0.06%

auto

auto

auto

OK, 00200

0.037%

auto

auto

auto

OK, 00300

0.063%

auto

auto

auto

OK, 00400

0.038%

auto

auto

auto

OK, 00500

0.039%

auto

auto

auto

OK, 00601

0.033%

auto

auto

auto

OK, 00602

0.039%

auto

auto

auto

OK, 00701

0.036%

auto

auto

auto

OK, 00702

0.043%

auto

auto

auto

OK, 00800

0.035%

auto

auto

auto

OK, 00900

0.082%

auto

auto

auto

OK, 01001

0.034%

auto

auto

auto

OK, 01002

0.053%

auto

auto

auto

OK, 01003

0.044%

auto

auto

auto

OK, 01004

0.038%

auto

auto

auto

OK, 01005

0.035%

auto

auto

auto

OK, 01006

0.042%

auto

auto

auto

OK, 01101

0.034%

auto

auto

auto

OK, 01102

0.04%

auto

auto

auto

OK, 01201

0.076%

auto

auto

auto

OK, 01202

0.06%

auto

auto

auto

OK, 01203

0.038%

auto

auto

auto

OK, 01204

0.053%

auto

auto

auto

OK, 01301

0.035%

auto

auto

auto

OK, 01302

0.054%

auto

auto

auto

OK, 01400

0.04%

auto

auto

auto

OK, 01501

0.05%

auto

auto

auto

OK, 01601

0.035%

auto

auto

auto

OR, 00100

0.04%

auto

auto

auto

OR, 00200

0.039%

auto

auto

auto

OR, 00300

0.039%

auto

auto

auto

OR, 00400

0.062%

auto

auto

auto

OR, 00500

0.069%

auto

auto

auto

OR, 00600

0.064%

auto

auto

auto

OR, 00703

0.047%

auto

auto

auto

OR, 00704

0.035%

auto

auto

auto

OR, 00705

0.037%

auto

auto

auto

OR, 00800

0.061%

auto

auto

auto

OR, 00901

0.034%

auto

auto

auto

OR, 00902

0.035%

auto

auto

auto

OR, 01000

0.037%

auto

auto

auto

OR, 01103

0.029%

auto

auto

auto

OR, 01104

0.031%

auto

auto

auto

OR, 01105

0.032%

auto

auto

auto

OR, 01200

0.051%

auto

auto

auto

OR, 01301

0.036%

auto

auto

auto

OR, 01302

0.036%

auto

auto

auto

OR, 01303

0.036%

auto

auto

auto

OR, 01305

0.041%

auto

auto

auto

OR, 01314

0.054%

auto

auto

auto

OR, 01316

0.045%

auto

auto

auto

OR, 01317

0.032%

auto

auto

auto

OR, 01318

0.052%

auto

auto

auto

OR, 01319

0.036%

auto

auto

auto

OR, 01320

0.035%

auto

auto

auto

OR, 01321

0.029%

auto

auto

auto

OR, 01322

0.033%

auto

auto

auto

OR, 01323

0.032%

auto

auto

auto

OR, 01324

0.036%

auto

auto

auto

PA, 00101

0.036%

auto

auto

auto

PA, 00102

0.053%

auto

auto

auto

PA, 00200

0.051%

auto

auto

auto

PA, 00300

0.07%

auto

auto

auto

PA, 00400

0.043%

auto

auto

auto

PA, 00500

0.07%

auto

auto

auto

PA, 00600

0.06%

auto

auto

auto

PA, 00701

0.037%

auto

auto

auto

PA, 00702

0.046%

auto

auto

auto

PA, 00801

0.045%

auto

auto

auto

PA, 00802

0.043%

auto

auto

auto

PA, 00803

0.045%

auto

auto

auto

PA, 00900

0.053%

auto

auto

auto

PA, 01000

0.04%

auto

auto

auto

PA, 01100

0.049%

auto

auto

auto

PA, 01200

0.048%

auto

auto

auto

PA, 01300

0.058%

auto

auto

auto

PA, 01400

0.038%

auto

auto

auto

PA, 01501

0.036%

auto

auto

auto

PA, 01502

0.053%

auto

auto

auto

PA, 01600

0.06%

auto

auto

auto

PA, 01701

0.072%

auto

auto

auto

PA, 01702

0.044%

auto

auto

auto

PA, 01801

0.037%

auto

auto

auto

PA, 01802

0.05%

auto

auto

auto

PA, 01803

0.045%

auto

auto

auto

PA, 01804

0.067%

auto

auto

auto

PA, 01805

0.044%

auto

auto

auto

PA, 01806

0.044%

auto

auto

auto

PA, 01807

0.037%

auto

auto

auto

PA, 01900

0.053%

auto

auto

auto

PA, 02001

0.035%

auto

auto

auto

PA, 02002

0.053%

auto

auto

auto

PA, 02003

0.038%

auto

auto

auto

PA, 02100

0.049%

auto

auto

auto

PA, 02200

0.059%

auto

auto

auto

PA, 02301

0.044%

auto

auto

auto

PA, 02302

0.048%

auto

auto

auto

PA, 02401

0.055%

auto

auto

auto

PA, 02402

0.036%

auto

auto

auto

PA, 02500

0.042%

auto

auto

auto

PA, 02600

0.051%

auto

auto

auto

PA, 02701

0.037%

auto

auto

auto

PA, 02702

0.042%

auto

auto

auto

PA, 02703

0.044%

auto

auto

auto

PA, 02801

0.045%

auto

auto

auto

PA, 02802

0.047%

auto

auto

auto

PA, 02803

0.034%

auto

auto

auto

PA, 02901

0.053%

auto

auto

auto

PA, 02902

0.045%

auto

auto

auto

PA, 03001

0.04%

auto

auto

auto

PA, 03002

0.041%

auto

auto

auto

PA, 03003

0.05%

auto

auto

auto

PA, 03004

0.052%

auto

auto

auto

PA, 03101

0.041%

auto

auto

auto

PA, 03102

0.036%

auto

auto

auto

PA, 03103

0.041%

auto

auto

auto

PA, 03104

0.038%

auto

auto

auto

PA, 03105

0.038%

auto

auto

auto

PA, 03106

0.051%

auto

auto

auto

PA, 03201

0.047%

auto

auto

auto

PA, 03202

0.039%

auto

auto

auto

PA, 03203

0.039%

auto

auto

auto

PA, 03204

0.049%

auto

auto

auto

PA, 03205

0.048%

auto

auto

auto

PA, 03206

0.049%

auto

auto

auto

PA, 03207

0.039%

auto

auto

auto

PA, 03208

0.043%

auto

auto

auto

PA, 03209

0.058%

auto

auto

auto

PA, 03210

0.047%

auto

auto

auto

PA, 03211

0.042%

auto

auto

auto

PA, 03301

0.037%

auto

auto

auto

PA, 03302

0.049%

auto

auto

auto

PA, 03303

0.045%

auto

auto

auto

PA, 03304

0.035%

auto

auto

auto

PA, 03401

0.034%

auto

auto

auto

PA, 03402

0.039%

auto

auto

auto

PA, 03403

0.042%

auto

auto

auto

PA, 03404

0.031%

auto

auto

auto

PA, 03501

0.036%

auto

auto

auto

PA, 03502

0.033%

auto

auto

auto

PA, 03503

0.046%

auto

auto

auto

PA, 03504

0.04%

auto

auto

auto

PA, 03601

0.051%

auto

auto

auto

PA, 03602

0.039%

auto

auto

auto

PA, 03603

0.045%

auto

auto

auto

PA, 03701

0.039%

auto

auto

auto

PA, 03702

0.039%

auto

auto

auto

PA, 03800

0.052%

auto

auto

auto

PA, 03900

0.047%

auto

auto

auto

PA, 04001

0.047%

auto

auto

auto

PA, 04002

0.035%

auto

auto

auto

RI, 00101

0.046%

auto

auto

auto

RI, 00102

0.057%

auto

auto

auto

RI, 00103

0.053%

auto

auto

auto

RI, 00104

0.04%

auto

auto

auto

RI, 00201

0.055%

auto

auto

auto

RI, 00300

0.047%

auto

auto

auto

RI, 00400

0.047%

auto

auto

auto

SC, 00101

0.068%

auto

auto

auto

SC, 00102

0.033%

auto

auto

auto

SC, 00103

0.051%

auto

auto

auto

SC, 00104

0.039%

auto

auto

auto

SC, 00105

0.05%

auto

auto

auto

SC, 00200

0.064%

auto

auto

auto

SC, 00301

0.039%

auto

auto

auto

SC, 00302

0.054%

auto

auto

auto

SC, 00400

0.053%

auto

auto

auto

SC, 00501

0.035%

auto

auto

auto

SC, 00502

0.039%

auto

auto

auto

SC, 00601

0.054%

auto

auto

auto

SC, 00602

0.042%

auto

auto

auto

SC, 00603

0.058%

auto

auto

auto

SC, 00604

0.066%

auto

auto

auto

SC, 00605

0.036%

auto

auto

auto

SC, 00700

0.05%

auto

auto

auto

SC, 00800

0.065%

auto

auto

auto

SC, 00900

0.067%

auto

auto

auto

SC, 01000

0.047%

auto

auto

auto

SC, 01101

0.047%

auto

auto

auto

SC, 01102

0.097%

auto

auto

auto

SC, 01201

0.045%

auto

auto

auto

SC, 01202

0.076%

auto

auto

auto

SC, 01203

0.051%

auto

auto

auto

SC, 01204

0.063%

auto

auto

auto

SC, 01300

0.07%

auto

auto

auto

SC, 01400

0.079%

auto

auto

auto

SC, 01500

0.063%

auto

auto

auto

SC, 01600

0.036%

auto

auto

auto

SD, 00100

0.062%

auto

auto

auto

SD, 00200

0.032%

auto

auto

auto

SD, 00300

0.048%

auto

auto

auto

SD, 00400

0.045%

auto

auto

auto

SD, 00500

0.039%

auto

auto

auto

SD, 00600

0.053%

auto

auto

auto

TN, 00100

0.047%

auto

auto

auto

TN, 00200

0.051%

auto

auto

auto

TN, 00300

0.062%

auto

auto

auto

TN, 00400

0.055%

auto

auto

auto

TN, 00500

0.051%

auto

auto

auto

TN, 00600

0.041%

auto

auto

auto

TN, 00700

0.042%

auto

auto

auto

TN, 00800

0.039%

auto

auto

auto

TN, 00900

0.043%

auto

auto

auto

TN, 01000

0.039%

auto

auto

auto

TN, 01100

0.037%

auto

auto

auto

TN, 01200

0.058%

auto

auto

auto

TN, 01300

0.044%

auto

auto

auto

TN, 01400

0.041%

auto

auto

auto

TN, 01500

0.06%

auto

auto

auto

TN, 01601

0.036%

auto

auto

auto

TN, 01602

0.034%

auto

auto

auto

TN, 01603

0.064%

auto

auto

auto

TN, 01604

0.046%

auto

auto

auto

TN, 01700

0.042%

auto

auto

auto

TN, 01800

0.051%

auto

auto

auto

TN, 01900

0.055%

auto

auto

auto

TN, 02001

0.041%

auto

auto

auto

TN, 02002

0.038%

auto

auto

auto

TN, 02003

0.037%

auto

auto

auto

TN, 02100

0.038%

auto

auto

auto

TN, 02200

0.045%

auto

auto

auto

TN, 02300

0.037%

auto

auto

auto

TN, 02401

0.036%

auto

auto

auto

TN, 02402

0.046%

auto

auto

auto

TN, 02501

0.051%

auto

auto

auto

TN, 02502

0.036%

auto

auto

auto

TN, 02503

0.041%

auto

auto

auto

TN, 02504

0.041%

auto

auto

auto

TN, 02505

0.051%

auto

auto

auto

TN, 02600

0.055%

auto

auto

auto

TN, 02700

0.051%

auto

auto

auto

TN, 02800

0.037%

auto

auto

auto

TN, 02900

0.048%

auto

auto

auto

TN, 03000

0.037%

auto

auto

auto

TN, 03100

0.038%

auto

auto

auto

TN, 03201

0.055%

auto

auto

auto

TN, 03202

0.044%

auto

auto

auto

TN, 03203

0.036%

auto

auto

auto

TN, 03204

0.028%

auto

auto

auto

TN, 03205

0.033%

auto

auto

auto

TN, 03206

0.036%

auto

auto

auto

TN, 03207

0.035%

auto

auto

auto

TN, 03208

0.034%

auto

auto

auto

TX, 00100

0.059%

auto

auto

auto

TX, 00200

0.037%

auto

auto

auto

TX, 00300

0.04%

auto

auto

auto

TX, 00400

0.04%

auto

auto

auto

TX, 00501

0.036%

auto

auto

auto

TX, 00502

0.054%

auto

auto

auto

TX, 00600

0.052%

auto

auto

auto

TX, 00700

0.042%

auto

auto

auto

TX, 00800

0.064%

auto

auto

auto

TX, 00900

0.051%

auto

auto

auto

TX, 01000

0.053%

auto

auto

auto

TX, 01100

0.04%

auto

auto

auto

TX, 01200

0.038%

auto

auto

auto

TX, 01300

0.041%

auto

auto

auto

TX, 01400

0.029%

auto

auto

auto

TX, 01501

0.031%

auto

auto

auto

TX, 01502

0.035%

auto

auto

auto

TX, 01600

0.038%

auto

auto

auto

TX, 01700

0.04%

auto

auto

auto

TX, 01800

0.045%

auto

auto

auto

TX, 01901

0.041%

auto

auto

auto

TX, 01902

0.035%

auto

auto

auto

TX, 01903

0.031%

auto

auto

auto

TX, 01904

0.032%

auto

auto

auto

TX, 01905

0.037%

auto

auto

auto

TX, 01906

0.036%

auto

auto

auto

TX, 01907

0.035%

auto

auto

auto

TX, 02001

0.038%

auto

auto

auto

TX, 02002

0.033%

auto

auto

auto

TX, 02003

0.034%

auto

auto

auto

TX, 02004

0.035%

auto

auto

auto

TX, 02005

0.034%

auto

auto

auto

TX, 02006

0.036%

auto

auto

auto

TX, 02101

0.043%

auto

auto

auto

TX, 02102

0.044%

auto

auto

auto

TX, 02200

0.046%

auto

auto

auto

TX, 02301

0.026%

auto

auto

auto

TX, 02302

0.027%

auto

auto

auto

TX, 02303

0.031%

auto

auto

auto

TX, 02304

0.026%

auto

auto

auto

TX, 02305

0.031%

auto

auto

auto

TX, 02306

0.04%

auto

auto

auto

TX, 02307

0.043%

auto

auto

auto

TX, 02308

0.029%

auto

auto

auto

TX, 02309

0.036%

auto

auto

auto

TX, 02310

0.041%

auto

auto

auto

TX, 02311

0.034%

auto

auto

auto

TX, 02312

0.037%

auto

auto

auto

TX, 02313

0.052%

auto

auto

auto

TX, 02314

0.034%

auto

auto

auto

TX, 02315

0.029%

auto

auto

auto

TX, 02316

0.028%

auto

auto

auto

TX, 02317

0.029%

auto

auto

auto

TX, 02318

0.03%

auto

auto

auto

TX, 02319

0.028%

auto

auto

auto

TX, 02320

0.026%

auto

auto

auto

TX, 02321

0.035%

auto

auto

auto

TX, 02322

0.034%

auto

auto

auto

TX, 02400

0.036%

auto

auto

auto

TX, 02501

0.032%

auto

auto

auto

TX, 02502

0.044%

auto

auto

auto

TX, 02503

0.035%

auto

auto

auto

TX, 02504

0.027%

auto

auto

auto

TX, 02505

0.03%

auto

auto

auto

TX, 02506

0.031%

auto

auto

auto

TX, 02507

0.037%

auto

auto

auto

TX, 02508

0.029%

auto

auto

auto

TX, 02509

0.043%

auto

auto

auto

TX, 02510

0.033%

auto

auto

auto

TX, 02511

0.03%

auto

auto

auto

TX, 02512

0.028%

auto

auto

auto

TX, 02513

0.036%

auto

auto

auto

TX, 02514

0.046%

auto

auto

auto

TX, 02515

0.035%

auto

auto

auto

TX, 02516

0.036%

auto

auto

auto

TX, 02600

0.071%

auto

auto

auto

TX, 02700

0.042%

auto

auto

auto

TX, 02800

0.035%

auto

auto

auto

TX, 02900

0.036%

auto

auto

auto

TX, 03000

0.043%

auto

auto

auto

TX, 03100

0.042%

auto

auto

auto

TX, 03200

0.035%

auto

auto

auto

TX, 03301

0.033%

auto

auto

auto

TX, 03302

0.041%

auto

auto

auto

TX, 03303

0.031%

auto

auto

auto

TX, 03304

0.032%

auto

auto

auto

TX, 03305

0.037%

auto

auto

auto

TX, 03306

0.038%

auto

auto

auto

TX, 03400

0.061%

auto

auto

auto

TX, 03501

0.051%

auto

auto

auto

TX, 03502

0.049%

auto

auto

auto

TX, 03601

0.052%

auto

auto

auto

TX, 03602

0.062%

auto

auto

auto

TX, 03700

0.055%

auto

auto

auto

TX, 03801

0.033%

auto

auto

auto

TX, 03802

0.04%

auto

auto

auto

TX, 03900

0.062%

auto

auto

auto

TX, 04000

0.048%

auto

auto

auto

TX, 04100

0.045%

auto

auto

auto

TX, 04200

0.045%

auto

auto

auto

TX, 04301

0.039%

auto

auto

auto

TX, 04302

0.041%

auto

auto

auto

TX, 04400

0.033%

auto

auto

auto

TX, 04501

0.041%

auto

auto

auto

TX, 04502

0.038%

auto

auto

auto

TX, 04503

0.035%

auto

auto

auto

TX, 04504

0.032%

auto

auto

auto

TX, 04601

0.04%

auto

auto

auto

TX, 04602

0.031%

auto

auto

auto

TX, 04603

0.046%

auto

auto

auto

TX, 04604

0.057%

auto

auto

auto

TX, 04605

0.031%

auto

auto

auto

TX, 04606

0.028%

auto

auto

auto

TX, 04607

0.031%

auto

auto

auto

TX, 04608

0.024%

auto

auto

auto

TX, 04609

0.036%

auto

auto

auto

TX, 04610

0.027%

auto

auto

auto

TX, 04611

0.031%

auto

auto

auto

TX, 04612

0.031%

auto

auto

auto

TX, 04613

0.046%

auto

auto

auto

TX, 04614

0.037%

auto

auto

auto

TX, 04615

0.031%

auto

auto

auto

TX, 04616

0.035%

auto

auto

auto

TX, 04617

0.032%

auto

auto

auto

TX, 04618

0.027%

auto

auto

auto

TX, 04619

0.028%

auto

auto

auto

TX, 04620

0.031%

auto

auto

auto

TX, 04621

0.033%

auto

auto

auto

TX, 04622

0.028%

auto

auto

auto

TX, 04623

0.031%

auto

auto

auto

TX, 04624

0.033%

auto

auto

auto

TX, 04625

0.03%

auto

auto

auto

TX, 04626

0.036%

auto

auto

auto

TX, 04627

0.032%

auto

auto

auto

TX, 04628

0.031%

auto

auto

auto

TX, 04629

0.037%

auto

auto

auto

TX, 04630

0.032%

auto

auto

auto

TX, 04631

0.034%

auto

auto

auto

TX, 04632

0.033%

auto

auto

auto

TX, 04633

0.027%

auto

auto

auto

TX, 04634

0.027%

auto

auto

auto

TX, 04635

0.03%

auto

auto

auto

TX, 04636

0.036%

auto

auto

auto

TX, 04637

0.042%

auto

auto

auto

TX, 04638

0.028%

auto

auto

auto

TX, 04701

0.062%

auto

auto

auto

TX, 04702

0.043%

auto

auto

auto

TX, 04801

0.031%

auto

auto

auto

TX, 04802

0.031%

auto

auto

auto

TX, 04803

0.033%

auto

auto

auto

TX, 04901

0.028%

auto

auto

auto

TX, 04902

0.034%

auto

auto

auto

TX, 04903

0.027%

auto

auto

auto

TX, 04904

0.033%

auto

auto

auto

TX, 04905

0.045%

auto

auto

auto

TX, 05000

0.057%

auto

auto

auto

TX, 05100

0.049%

auto

auto

auto

TX, 05201

0.036%

auto

auto

auto

TX, 05202

0.03%

auto

auto

auto

TX, 05203

0.034%

auto

auto

auto

TX, 05204

0.032%

auto

auto

auto

TX, 05301

0.034%

auto

auto

auto

TX, 05302

0.037%

auto

auto

auto

TX, 05303

0.04%

auto

auto

auto

TX, 05304

0.039%

auto

auto

auto

TX, 05305

0.036%

auto

auto

auto

TX, 05306

0.052%

auto

auto

auto

TX, 05307

0.043%

auto

auto

auto

TX, 05308

0.037%

auto

auto

auto

TX, 05309

0.036%

auto

auto

auto

TX, 05400

0.052%

auto

auto

auto

TX, 05500

0.046%

auto

auto

auto

TX, 05600

0.036%

auto

auto

auto

TX, 05700

0.04%

auto

auto

auto

TX, 05800

0.039%

auto

auto

auto

TX, 05901

0.03%

auto

auto

auto

TX, 05902

0.039%

auto

auto

auto

TX, 05903

0.032%

auto

auto

auto

TX, 05904

0.031%

auto

auto

auto

TX, 05905

0.027%

auto

auto

auto

TX, 05906

0.028%

auto

auto

auto

TX, 05907

0.025%

auto

auto

auto

TX, 05908

0.029%

auto

auto

auto

TX, 05909

0.031%

auto

auto

auto

TX, 05910

0.038%

auto

auto

auto

TX, 05911

0.042%

auto

auto

auto

TX, 05912

0.032%

auto

auto

auto

TX, 05913

0.03%

auto

auto

auto

TX, 05914

0.03%

auto

auto

auto

TX, 05915

0.031%

auto

auto

auto

TX, 05916

0.03%

auto

auto

auto

TX, 06000

0.043%

auto

auto

auto

TX, 06100

0.04%

auto

auto

auto

TX, 06200

0.049%

auto

auto

auto

TX, 06301

0.032%

auto

auto

auto

TX, 06302

0.027%

auto

auto

auto

TX, 06400

0.03%

auto

auto

auto

TX, 06500

0.043%

auto

auto

auto

TX, 06601

0.039%

auto

auto

auto

TX, 06602

0.035%

auto

auto

auto

TX, 06603

0.035%

auto

auto

auto

TX, 06701

0.035%

auto

auto

auto

TX, 06702

0.039%

auto

auto

auto

TX, 06703

0.035%

auto

auto

auto

TX, 06801

0.027%

auto

auto

auto

TX, 06802

0.025%

auto

auto

auto

TX, 06803

0.029%

auto

auto

auto

TX, 06804

0.026%

auto

auto

auto

TX, 06805

0.037%

auto

auto

auto

TX, 06806

0.028%

auto

auto

auto

TX, 06807

0.023%

auto

auto

auto

TX, 06900

0.03%

auto

auto

auto

UT, 03001

0.029%

auto

auto

auto

UT, 05001

0.054%

auto

auto

auto

UT, 11001

0.048%

auto

auto

auto

UT, 11002

0.029%

auto

auto

auto

UT, 13001

0.045%

auto

auto

auto

UT, 21001

0.047%

auto

auto

auto

UT, 35001

0.024%

auto

auto

auto

UT, 35002

0.043%

auto

auto

auto

UT, 35003

0.023%

auto

auto

auto

UT, 35004

0.031%

auto

auto

auto

UT, 35005

0.046%

auto

auto

auto

UT, 35006

0.024%

auto

auto

auto

UT, 35007

0.036%

auto

auto

auto

UT, 35008

0.03%

auto

auto

auto

UT, 35009

0.025%

auto

auto

auto

UT, 49001

0.024%

auto

auto

auto

UT, 49002

0.037%

auto

auto

auto

UT, 49003

0.026%

auto

auto

auto

UT, 49004

0.032%

auto

auto

auto

UT, 53001

0.047%

auto

auto

auto

UT, 57001

0.033%

auto

auto

auto

UT, 57002

0.032%

auto

auto

auto

VA, 01301

0.04%

auto

auto

auto

VA, 01302

0.042%

auto

auto

auto

VA, 04101

0.033%

auto

auto

auto

VA, 04102

0.033%

auto

auto

auto

VA, 04103

0.028%

auto

auto

auto

VA, 10701

0.029%

auto

auto

auto

VA, 10702

0.032%

auto

auto

auto

VA, 10703

0.031%

auto

auto

auto

VA, 51010

0.072%

auto

auto

auto

VA, 51020

0.072%

auto

auto

auto

VA, 51040

0.059%

auto

auto

auto

VA, 51044

0.046%

auto

auto

auto

VA, 51045

0.071%

auto

auto

auto

VA, 51080

0.056%

auto

auto

auto

VA, 51084

0.038%

auto

auto

auto

VA, 51085

0.036%

auto

auto

auto

VA, 51087

0.052%

auto

auto

auto

VA, 51089

0.041%

auto

auto

auto

VA, 51090

0.041%

auto

auto

auto

VA, 51095

0.042%

auto

auto

auto

VA, 51096

0.043%

auto

auto

auto

VA, 51097

0.072%

auto

auto

auto

VA, 51105

0.068%

auto

auto

auto

VA, 51110

0.039%

auto

auto

auto

VA, 51115

0.043%

auto

auto

auto

VA, 51120

0.051%

auto

auto

auto

VA, 51125

0.073%

auto

auto

auto

VA, 51135

0.054%

auto

auto

auto

VA, 51145

0.046%

auto

auto

auto

VA, 51154

0.066%

auto

auto

auto

VA, 51155

0.036%

auto

auto

auto

VA, 51164

0.047%

auto

auto

auto

VA, 51165

0.051%

auto

auto

auto

VA, 51167

0.038%

auto

auto

auto

VA, 51175

0.058%

auto

auto

auto

VA, 51186

0.045%

auto

auto

auto

VA, 51206

0.051%

auto

auto

auto

VA, 51215

0.057%

auto

auto

auto

VA, 51224

0.047%

auto

auto

auto

VA, 51225

0.054%

auto

auto

auto

VA, 51235

0.075%

auto

auto

auto

VA, 51244

0.029%

auto

auto

auto

VA, 51245

0.03%

auto

auto

auto

VA, 51246

0.062%

auto

auto

auto

VA, 51255

0.056%

auto

auto

auto

VA, 55001

0.036%

auto

auto

auto

VA, 55002

0.029%

auto

auto

auto

VA, 59301

0.04%

auto

auto

auto

VA, 59302

0.037%

auto

auto

auto

VA, 59303

0.039%

auto

auto

auto

VA, 59304

0.027%

auto

auto

auto

VA, 59305

0.034%

auto

auto

auto

VA, 59306

0.029%

auto

auto

auto

VA, 59307

0.047%

auto

auto

auto

VA, 59308

0.033%

auto

auto

auto

VA, 59309

0.031%

auto

auto

auto

VT, 00100

0.071%

auto

auto

auto

VT, 00200

0.061%

auto

auto

auto

VT, 00300

0.059%

auto

auto

auto

VT, 00400

0.054%

auto

auto

auto

WA, 10100

0.069%

auto

auto

auto

WA, 10200

0.079%

auto

auto

auto

WA, 10300

0.039%

auto

auto

auto

WA, 10400

0.042%

auto

auto

auto

WA, 10501

0.041%

auto

auto

auto

WA, 10502

0.042%

auto

auto

auto

WA, 10503

0.041%

auto

auto

auto

WA, 10504

0.031%

auto

auto

auto

WA, 10600

0.034%

auto

auto

auto

WA, 10701

0.029%

auto

auto

auto

WA, 10702

0.032%

auto

auto

auto

WA, 10703

0.03%

auto

auto

auto

WA, 10800

0.043%

auto

auto

auto

WA, 10901

0.035%

auto

auto

auto

WA, 10902

0.029%

auto

auto

auto

WA, 11000

0.037%

auto

auto

auto

WA, 11101

0.035%

auto

auto

auto

WA, 11102

0.033%

auto

auto

auto

WA, 11103

0.03%

auto

auto

auto

WA, 11104

0.031%

auto

auto

auto

WA, 11200

0.046%

auto

auto

auto

WA, 11300

0.051%

auto

auto

auto

WA, 11401

0.052%

auto

auto

auto

WA, 11402

0.031%

auto

auto

auto

WA, 11501

0.041%

auto

auto

auto

WA, 11502

0.038%

auto

auto

auto

WA, 11503

0.034%

auto

auto

auto

WA, 11504

0.037%

auto

auto

auto

WA, 11505

0.033%

auto

auto

auto

WA, 11506

0.036%

auto

auto

auto

WA, 11507

0.03%

auto

auto

auto

WA, 11601

0.055%

auto

auto

auto

WA, 11602

0.04%

auto

auto

auto

WA, 11603

0.061%

auto

auto

auto

WA, 11604

0.04%

auto

auto

auto

WA, 11605

0.045%

auto

auto

auto

WA, 11606

0.036%

auto

auto

auto

WA, 11607

0.045%

auto

auto

auto

WA, 11608

0.045%

auto

auto

auto

WA, 11609

0.041%

auto

auto

auto

WA, 11610

0.041%

auto

auto

auto

WA, 11611

0.038%

auto

auto

auto

WA, 11612

0.039%

auto

auto

auto

WA, 11613

0.034%

auto

auto

auto

WA, 11614

0.032%

auto

auto

auto

WA, 11615

0.034%

auto

auto

auto

WA, 11616

0.033%

auto

auto

auto

WA, 11701

0.036%

auto

auto

auto

WA, 11702

0.037%

auto

auto

auto

WA, 11703

0.037%

auto

auto

auto

WA, 11704

0.034%

auto

auto

auto

WA, 11705

0.037%

auto

auto

auto

WA, 11706

0.041%

auto

auto

auto

WA, 11801

0.04%

auto

auto

auto

WA, 11802

0.042%

auto

auto

auto

WA, 11900

0.04%

auto

auto

auto

WI, 00100

0.095%

auto

auto

auto

WI, 00101

0.04%

auto

auto

auto

WI, 00102

0.059%

auto

auto

auto

WI, 00103

0.067%

auto

auto

auto

WI, 00200

0.034%

auto

auto

auto

WI, 00300

0.046%

auto

auto

auto

WI, 00600

0.07%

auto

auto

auto

WI, 00700

0.068%

auto

auto

auto

WI, 00800

0.048%

auto

auto

auto

WI, 00900

0.037%

auto

auto

auto

WI, 01000

0.042%

auto

auto

auto

WI, 01001

0.054%

auto

auto

auto

WI, 01300

0.062%

auto

auto

auto

WI, 01301

0.035%

auto

auto

auto

WI, 01400

0.063%

auto

auto

auto

WI, 01401

0.048%

auto

auto

auto

WI, 01500

0.056%

auto

auto

auto

WI, 01501

0.055%

auto

auto

auto

WI, 01600

0.044%

auto

auto

auto

WI, 01601

0.072%

auto

auto

auto

WI, 02400

0.051%

auto

auto

auto

WI, 02500

0.038%

auto

auto

auto

WI, 10000

0.052%

auto

auto

auto

WI, 20000

0.069%

auto

auto

auto

WI, 30000

0.061%

auto

auto

auto

WI, 40101

0.041%

auto

auto

auto

WI, 40301

0.038%

auto

auto

auto

WI, 40701

0.06%

auto

auto

auto

WI, 41001

0.033%

auto

auto

auto

WI, 41002

0.038%

auto

auto

auto

WI, 41003

0.035%

auto

auto

auto

WI, 41004

0.028%

auto

auto

auto

WI, 41005

0.038%

auto

auto

auto

WI, 50000

0.039%

auto

auto

auto

WI, 55101

0.051%

auto

auto

auto

WI, 55102

0.039%

auto

auto

auto

WI, 55103

0.049%

auto

auto

auto

WI, 70101

0.035%

auto

auto

auto

WI, 70201

0.048%

auto

auto

auto

WI, 70301

0.039%

auto

auto

auto

WV, 00100

0.046%

auto

auto

auto

WV, 00200

0.052%

auto

auto

auto

WV, 00300

0.044%

auto

auto

auto

WV, 00400

0.079%

auto

auto

auto

WV, 00500

0.049%

auto

auto

auto

WV, 00600

0.041%

auto

auto

auto

WV, 00700

0.035%

auto

auto

auto

WV, 00800

0.059%

auto

auto

auto

WV, 00900

0.033%

auto

auto

auto

WV, 01000

0.072%

auto

auto

auto

WV, 01100

0.046%

auto

auto

auto

WV, 01200

0.065%

auto

auto

auto

WV, 01300

0.038%

auto

auto

auto

WY, 00100

0.042%

auto

auto

auto

WY, 00200

0.035%

auto

auto

auto

WY, 00300

0.045%

auto

auto

auto

WY, 00400

0.038%

auto

auto

auto

WY, 00500

0.04%

auto

auto

auto

PUMA Metro Status

Description

The public use microdata area metropolitan status that the dwelling unit is located.

Created by

sources/pums/pums2019_5yrs/tsv_maker.py

Source

  • 2019-5yrs Public Use Microdata Samples (PUMS). IPUMS USA, University of Minnesota, www.ipums.org.

Assumption

  • 'PUMA Metro Status’, derived from ACS IPUMS METRO codes, indicates whether the household resided within a metropolitan area and, for households in metropolitan areas, whether the household resided within or outside of a central/principal city. Each PUMA has a unique METRO status in ACS and therefore has a unique PUMA Metro Status. IPUMS derives METRO codes for samples not directly identified based on available geographic information and whether the associated county group or PUMA lies wholly or only partially within metropolitan areas or principal cities.

Options

From project_national the list of options, option stock saturation, and option arguments for the PUMA Metro Status characteristic.

Option name

Stock saturation

In metro area, not/partially in principal city

64%

In metro area, principal city

13%

Not/partially in metro area

23%

PV Orientation

Description

The orientation of the photovoltaic system.

Created by

sources/dpv/tsv_maker.py

Source

  • LBNL’s 2020 Tracking the Sun (TTS).

Assumption

  • PV orientation mapped based on azimuth angle of primary array (180 deg is South-facing).

Arguments

Name

Required

Units

Type

Choices

Description

pv_system_array_azimuth

true

degrees

Double

Array azimuth of the PV system. Azimuth is measured clockwise from north (e.g., North=0, East=90, South=180, West=270).

pv_system_2_array_azimuth

true

degrees

Double

Array azimuth of the second PV system. Azimuth is measured clockwise from north (e.g., North=0, East=90, South=180, West=270).

Options

From project_national the list of options, option stock saturation, and option arguments for the PV Orientation characteristic.

Option name

Stock saturation

pv_system_array_azimuth

pv_system_2_array_azimuth

East

0.16%

90

0

None

99%

180

0

North

0.017%

0

0

Northeast

0.015%

45

0

Northwest

0.01%

315

0

South

0.46%

180

0

Southeast

0.15%

135

0

Southwest

0.12%

225

0

West

0.089%

270

0

PV System Size

Description

The size of the photovoltaic system.

Created by

sources/dpv/tsv_maker.py

Source

  • LBNL’s 2020 Tracking the Sun (TTS).

Assumption

  • Installations of unknown mount type are assumed rooftop. States without data are backfilled with aggregates at the Census Region. ‘East South Central’ assumed the same distribution as ‘West South Central’.

  • PV is not modeled in AK and HI. The Option=None is set so that an error is thrown if PV is modeled as an argument will be missing.

Arguments

Name

Required

Units

Type

Choices

Description

pv_system_present

true

Boolean

true, false

Whether there is a PV system present.

pv_system_module_type

false

Choice

auto, standard, premium, thin film

Module type of the PV system. If not provided, the OS-HPXML default (see HPXML Photovoltaics) is used.

pv_system_location

false

Choice

auto, roof, ground

Location of the PV system. If not provided, the OS-HPXML default (see HPXML Photovoltaics) is used.

pv_system_tracking

false

Choice

auto, fixed, 1-axis, 1-axis backtracked, 2-axis

Type of tracking for the PV system. If not provided, the OS-HPXML default (see HPXML Photovoltaics) is used.

pv_system_array_tilt

true

degrees

String

Array tilt of the PV system. Can also enter, e.g., RoofPitch, RoofPitch+20, Latitude, Latitude-15, etc.

pv_system_max_power_output

true

W

Double

Maximum power output of the PV system. For a shared system, this is the total building maximum power output.

pv_system_inverter_efficiency

false

Frac

Double

auto

Inverter efficiency of the PV system. If there are two PV systems, this will apply to both. If not provided, the OS-HPXML default (see HPXML Photovoltaics) is used.

pv_system_system_losses_fraction

false

Frac

Double

auto

System losses fraction of the PV system. If there are two PV systems, this will apply to both. If not provided, the OS-HPXML default (see HPXML Photovoltaics) is used.

pv_system_2_present

true

Boolean

true, false

Whether there is a second PV system present.

pv_system_2_module_type

false

Choice

auto, standard, premium, thin film

Module type of the second PV system. If not provided, the OS-HPXML default (see HPXML Photovoltaics) is used.

pv_system_2_location

false

Choice

auto, roof, ground

Location of the second PV system. If not provided, the OS-HPXML default (see HPXML Photovoltaics) is used.

pv_system_2_tracking

false

Choice

auto, fixed, 1-axis, 1-axis backtracked, 2-axis

Type of tracking for the second PV system. If not provided, the OS-HPXML default (see HPXML Photovoltaics) is used.

pv_system_2_array_tilt

true

degrees

String

Array tilt of the second PV system. Can also enter, e.g., RoofPitch, RoofPitch+20, Latitude, Latitude-15, etc.

pv_system_2_max_power_output

true

W

Double

Maximum power output of the second PV system. For a shared system, this is the total building maximum power output.

Options

From project_national the list of options, option stock saturation, and option arguments for the PV System Size characteristic.

Option name

Stock saturation

pv_system_present

pv_system_module_type

pv_system_location

pv_system_tracking

pv_system_array_tilt

pv_system_max_power_output

pv_system_inverter_efficiency

pv_system_system_losses_fraction

pv_system_2_present

pv_system_2_module_type

pv_system_2_location

pv_system_2_tracking

pv_system_2_array_tilt

pv_system_2_max_power_output

1.0 kWDC

0.028%

true

auto

roof

auto

roofpitch

1000

auto

auto

false

auto

auto

auto

roofpitch

0

3.0 kWDC

0.2%

true

auto

roof

auto

roofpitch

3000

auto

auto

false

auto

auto

auto

roofpitch

0

5.0 kWDC

0.31%

true

auto

roof

auto

roofpitch

5000

auto

auto

false

auto

auto

auto

roofpitch

0

7.0 kWDC

0.23%

true

auto

roof

auto

roofpitch

7000

auto

auto

false

auto

auto

auto

roofpitch

0

9.0 kWDC

0.15%

true

auto

roof

auto

roofpitch

9000

auto

auto

false

auto

auto

auto

roofpitch

0

11.0 kWDC

0.078%

true

auto

roof

auto

roofpitch

11000

auto

auto

false

auto

auto

auto

roofpitch

0

13.0 kWDC

0.032%

true

auto

roof

auto

roofpitch

13000

auto

auto

false

auto

auto

auto

roofpitch

0

None

99%

false

auto

roof

auto

roofpitch

0

auto

auto

false

auto

auto

auto

roofpitch

0

Plug Load Diversity

Description

Plug load diversity multiplier intended to add variation in plug load profiles across all simulations.

Created by

manually created

Source

  • Engineering Judgement, Calibration

Arguments

Name

Required

Units

Type

Choices

Description

misc_plug_loads_television_2_usage_multiplier

true

Double

Additional multiplier on the television energy usage that can reflect, e.g., high/low usage occupants.

misc_plug_loads_other_2_usage_multiplier

true

Double

Additional multiplier on the other energy usage that can reflect, e.g., high/low usage occupants.

Options

From project_national the list of options, option stock saturation, and option arguments for the Plug Load Diversity characteristic.

Option name

Stock saturation

misc_plug_loads_television_2_usage_multiplier

misc_plug_loads_other_2_usage_multiplier

50%

25%

0.5

0.5

100%

50%

1.0

1.0

200%

25%

2.0

2.0

Plug Loads

Description

Plug load usage level which is varied by Census Division RECS and Building Type RECS.

Created by

sources/recs/recs2015/tsv_maker.py

Source

  • U.S. EIA 2015 Residential Energy Consumption Survey (RECS) microdata.

Assumption

  • Multipliers are based on ratio of the ResStock MELS regression equations and the MELS modeled in RECS.

Arguments

Name

Required

Units

Type

Choices

Description

misc_plug_loads_television_present

true

Boolean

true, false

Whether there are televisions.

misc_plug_loads_television_annual_kwh

false

kWh/yr

Double

auto

The annual energy consumption of the television plug loads. If not provided, the OS-HPXML default (see HPXML Plug Loads) is used.

misc_plug_loads_television_usage_multiplier

false

Double

auto

Multiplier on the television energy usage that can reflect, e.g., high/low usage occupants. If not provided, the OS-HPXML default (see HPXML Plug Loads) is used.

misc_plug_loads_other_annual_kwh

false

kWh/yr

Double

auto

The annual energy consumption of the other residual plug loads. If not provided, the OS-HPXML default (see HPXML Plug Loads) is used.

misc_plug_loads_other_frac_sensible

false

Frac

Double

auto

Fraction of other residual plug loads’ internal gains that are sensible. If not provided, the OS-HPXML default (see HPXML Plug Loads) is used.

misc_plug_loads_other_frac_latent

false

Frac

Double

auto

Fraction of other residual plug loads’ internal gains that are latent. If not provided, the OS-HPXML default (see HPXML Plug Loads) is used.

misc_plug_loads_other_usage_multiplier

false

Double

auto

Multiplier on the other energy usage that can reflect, e.g., high/low usage occupants. If not provided, the OS-HPXML default (see HPXML Plug Loads) is used.

Options

From project_national the list of options, option stock saturation, and option arguments for the Plug Loads characteristic.

Option name

Stock saturation

misc_plug_loads_television_present

misc_plug_loads_television_annual_kwh

misc_plug_loads_television_usage_multiplier

misc_plug_loads_other_annual_kwh

misc_plug_loads_other_frac_sensible

misc_plug_loads_other_frac_latent

misc_plug_loads_other_usage_multiplier

78%

0.21%

true

auto

0.78

auto

0.93

0.021

0.78

79%

0.21%

true

auto

0.79

auto

0.93

0.021

0.79

82%

1.1%

true

auto

0.82

auto

0.93

0.021

0.82

84%

2.9%

true

auto

0.84

auto

0.93

0.021

0.84

85%

10%

true

auto

0.85

auto

0.93

0.021

0.85

86%

1%

true

auto

0.86

auto

0.93

0.021

0.86

89%

5.5%

true

auto

0.89

auto

0.93

0.021

0.89

91%

5.6%

true

auto

0.91

auto

0.93

0.021

0.91

94%

10%

true

auto

0.94

auto

0.93

0.021

0.94

95%

5%

true

auto

0.95

auto

0.93

0.021

0.95

96%

4%

true

auto

0.96

auto

0.93

0.021

0.96

97%

0.74%

true

auto

0.97

auto

0.93

0.021

0.97

99%

2.8%

true

auto

0.99

auto

0.93

0.021

0.99

100%

0.28%

true

auto

1.0

auto

0.93

0.021

1.0

101%

7.6%

true

auto

1.01

auto

0.93

0.021

1.01

102%

0.66%

true

auto

1.02

auto

0.93

0.021

1.02

103%

0.17%

true

auto

1.03

auto

0.93

0.021

1.03

104%

2.7%

true

auto

1.04

auto

0.93

0.021

1.04

105%

0.57%

true

auto

1.05

auto

0.93

0.021

1.05

106%

17%

true

auto

1.06

auto

0.93

0.021

1.06

108%

1.3%

true

auto

1.08

auto

0.93

0.021

1.08

110%

6.1%

true

auto

1.1

auto

0.93

0.021

1.1

113%

8%

true

auto

1.13

auto

0.93

0.021

1.13

119%

1.8%

true

auto

1.19

auto

0.93

0.021

1.19

121%

0.84%

true

auto

1.21

auto

0.93

0.021

1.21

123%

1.4%

true

auto

1.23

auto

0.93

0.021

1.23

134%

0.74%

true

auto

1.34

auto

0.93

0.021

1.34

137%

0.12%

true

auto

1.37

auto

0.93

0.021

1.37

140%

0.37%

true

auto

1.4

auto

0.93

0.021

1.4

144%

1%

true

auto

1.44

auto

0.93

0.021

1.44

166%

0.4%

true

auto

1.66

auto

0.93

0.021

1.66

REEDS Balancing Area

Description

The Regional Energy Deployment System Model (ReEDS) balancing area that the sample is located.

Created by

sources/spatial/tsv_maker.py

Source

  • Spatial definitions are from the U.S. Census Bureau as of July 1, 2015.

  • Unit counts are from the American Community Survey 5-yr 2016.

  • Brown, Maxwell, Wesley Cole, Kelly Eurek, Jon Becker, David Bielen, Ilya Chernyakhovskiy, Stuart Cohen et al. 2020. Regional Energy Deployment System (ReEDS) Model Documentation: Version 2019. Golden, CO: National Renewable Energy Laboratory. NREL/TP-6A20-74111. https://www.nrel.gov/docs/fy20osti/74111.pdf.

Options

From project_national the list of options, option stock saturation, and option arguments for the REEDS Balancing Area characteristic.

Option name

Stock saturation

1

1.5%

2

0.45%

3

0.24%

4

0.039%

5

1.1%

6

0.19%

7

0.021%

8

0.031%

9

4.3%

10

5.1%

11

0.89%

12

0.25%

13

0.64%

14

0.1%

15

0.27%

16

0.14%

17

0.15%

18

0.13%

19

0.0042%

20

0.063%

21

0.074%

22

0.014%

23

0.02%

24

0.092%

25

0.71%

26

0.052%

27

0.084%

28

1.7%

29

0.024%

30

0.35%

31

0.6%

32

0.055%

33

1.3%

34

0.41%

35

0.02%

36

0.091%

37

0.17%

38

0.23%

39

0.039%

40

0.2%

41

0.37%

42

0.093%

43

1.5%

44

0.048%

45

0.24%

46

0.3%

47

0.082%

48

0.26%

49

0.0093%

50

0.83%

51

0.42%

52

0.038%

53

0.89%

54

0.52%

55

0.33%

56

0.31%

57

0.14%

58

1.4%

59

0.21%

60

0.058%

61

0.13%

62

0.1%

63

2.7%

64

0.91%

65

1.2%

66

0.4%

67

1.6%

68

0.11%

69

0.11%

70

0.67%

71

0.045%

72

0.94%

73

0.061%

74

0.11%

75

0.31%

76

0.32%

77

0.097%

78

0.23%

79

0.72%

80

2.8%

81

0.61%

82

0.2%

83

0.32%

84

0.15%

85

0.69%

86

0.11%

87

0.74%

88

0.22%

89

0.81%

90

0.83%

91

0.38%

92

2.1%

93

0.23%

94

3.1%

95

0.57%

96

1.1%

97

1.7%

98

1.6%

99

2.1%

100

0.072%

101

4.2%

102

2.3%

103

3.1%

104

0.21%

105

1.1%

106

0.4%

107

0.6%

108

0.12%

109

1%

110

0.1%

111

1.6%

112

1.4%

113

0.37%

114

0.53%

115

0.84%

116

0.4%

117

0.26%

118

0.41%

119

0.089%

120

0.053%

121

0.15%

122

3.2%

123

1.9%

124

0.021%

125

0.31%

126

2.7%

127

5.3%

128

0.77%

129

0.24%

130

0.46%

131

2.1%

132

1.1%

133

0.35%

134

0.54%

None

0.63%

Radiant Barrier

Description

Presence of radiant barrier in the attic (not modeled in project_national).

Created by

manually created

Source

  • Not applicable

  • all homes are assumed to not have attic radiant barriers installed.

Arguments

Name

Required

Units

Type

Choices

Description

radiant_barrier_attic_location

false

Choice

auto, none, Attic roof only, Attic roof and gable walls, Attic floor

The location of the radiant barrier in the attic.

radiant_barrier_grade

false

Choice

auto, 1, 2, 3

The grade of the radiant barrier in the attic. If not provided, the OS-HPXML default (see HPXML Roofs) is used.

Options

From project_national the list of options, option stock saturation, and option arguments for the Radiant Barrier characteristic.

Option name

Stock saturation

radiant_barrier_attic_location

radiant_barrier_grade

None

26%

none

1

Yes

0%

Attic roof only

1

No

74%

none

1

Range Spot Vent Hour

Description

Range spot ventilation daily start hour.

Created by

manually created

Source

  • derived from national average cooking range schedule in Wilson et al. ‘Building America House Simulation Protocols’ 2014

Arguments

Name

Required

Units

Type

Choices

Description

kitchen_fans_quantity

false

#

Integer

auto

The quantity of the kitchen fans. If not provided, the OS-HPXML default (see HPXML Local Ventilation Fans) is used.

kitchen_fans_flow_rate

false

CFM

Double

auto

The flow rate of the kitchen fan. If not provided, the OS-HPXML default (see HPXML Local Ventilation Fans) is used.

kitchen_fans_hours_in_operation

false

hrs/day

Double

auto

The hours in operation of the kitchen fan. If not provided, the OS-HPXML default (see HPXML Local Ventilation Fans) is used.

kitchen_fans_power

false

W

Double

auto

The fan power of the kitchen fan. If not provided, the OS-HPXML default (see HPXML Local Ventilation Fans) is used.

kitchen_fans_start_hour

false

hr

Integer

auto

The start hour of the kitchen fan. If not provided, the OS-HPXML default (see HPXML Local Ventilation Fans) is used.

Options

From project_national the list of options, option stock saturation, and option arguments for the Range Spot Vent Hour characteristic.

Option name

Stock saturation

kitchen_fans_quantity

kitchen_fans_flow_rate

kitchen_fans_hours_in_operation

kitchen_fans_power

kitchen_fans_start_hour

Hour0

0.7%

auto

auto

auto

auto

0

Hour1

0.7%

auto

auto

auto

auto

1

Hour2

0.4%

auto

auto

auto

auto

2

Hour3

0.4%

auto

auto

auto

auto

3

Hour4

0.7%

auto

auto

auto

auto

4

Hour5

1.1%

auto

auto

auto

auto

5

Hour6

2.5%

auto

auto

auto

auto

6

Hour7

4.2%

auto

auto

auto

auto

7

Hour8

4.6%

auto

auto

auto

auto

8

Hour9

4.8%

auto

auto

auto

auto

9

Hour10

4.2%

auto

auto

auto

auto

10

Hour11

5%

auto

auto

auto

auto

11

Hour12

5.7%

auto

auto

auto

auto

12

Hour13

4.6%

auto

auto

auto

auto

13

Hour14

5.7%

auto

auto

auto

auto

14

Hour15

4.4%

auto

auto

auto

auto

15

Hour16

9.2%

auto

auto

auto

auto

16

Hour17

15%

auto

auto

auto

auto

17

Hour18

12%

auto

auto

auto

auto

18

Hour19

6%

auto

auto

auto

auto

19

Hour20

3.5%

auto

auto

auto

auto

20

Hour21

2.5%

auto

auto

auto

auto

21

Hour22

1.6%

auto

auto

auto

auto

22

Hour23

1.1%

auto

auto

auto

auto

23

Refrigerator

Description

The presence and rated efficiency of the primary refrigerator.

Created by

sources/recs/recs2020/tsv_maker.py

Source

  • U.S. EIA 2020 Residential Energy Consumption Survey (RECS) microdata.

  • Age of refrigerator converted to efficiency levels using ENERGYSTAR shipment-weighted efficiencies by year data from Home Energy Score: http://hes-documentation.lbl.gov/. Check the comments in: HES-Refrigerator_Age_vs_Efficiency.tsv

Assumption

  • The current year is assumed to be 2022 (previously, it was 2016)

  • Previously, for each year, the EF values were rounded to the nearest EF level, and then the distribution of EF levels were calculated for the age bins. Currently, each year has its own distribution and then we average out the distributions to get the distribution for the age bins. EF for all years are weighted equally when calculating the average distribution for the age bins.

  • EnergyStar distributions from 2009 dependent on [Geometry Building Type RECS,Federal Poverty Level,Tenure] is used to calculate efficiency distribution in RECS2020.EnergyStar Refrigerators assumed to be 10% more efficient than standard.Due to low sampling count, the following coarsening rules are incorporated[1] State coarsened to Census Division RECS with AK/HI separate

    • [2] Geometry Building Type RECS coarsened to SF/MF/MH

    • [3] Geometry Building Type RECS coarsened to SF and MH/MF

    • [4] Vintage with Vintage ACS

    • [5] Vintage with combined 1960s

    • [6] Vintage with combined 1960s and post 200ss

    • [7] Federal Poverty Level coarsened every 100 percent

    • [8] Federal Poverty Level coarsened every 200 percent

    • [9] Census Division RECS with AK/HI separate coarsened to Census Division RECS

    • [10] Census Division RECS to Census Region

    • [11] Census Region to National

Arguments

Name

Required

Units

Type

Choices

Description

refrigerator_present

true

Boolean

true, false

Whether there is a refrigerator present.

refrigerator_location

false

Choice

auto, conditioned space, basement - conditioned, basement - unconditioned, garage, other housing unit, other heated space, other multifamily buffer space, other non-freezing space

The space type for the refrigerator location. If not provided, the OS-HPXML default (see HPXML Refrigerators) is used.

refrigerator_rated_annual_kwh

false

kWh/yr

Double

auto

The EnergyGuide rated annual energy consumption for a refrigerator. If not provided, the OS-HPXML default (see HPXML Refrigerators) is used.

Options

From project_national the list of options, option stock saturation, and option arguments for the Refrigerator characteristic.

Option name

Stock saturation

refrigerator_present

refrigerator_location

refrigerator_rated_annual_kwh

EF 6.7

2.6%

true

auto

1139

EF 10.2

0.4%

true

auto

748

EF 10.5

1.2%

true

auto

727

EF 15.9

8.8%

true

auto

480

EF 17.6

40%

true

auto

433

EF 19.9

41%

true

auto

383

EF 21.9

4.7%

true

auto

348

None

1.3%

false

auto

0

Void

0%

Refrigerator Usage Level

Description

Refrigerator energy usage level multiplier.

Created by

sources/other/tsv_maker.py

Source

  • n/a

Assumption

  • Engineering judgement

Arguments

Name

Required

Units

Type

Choices

Description

refrigerator_usage_multiplier

false

Double

auto

Multiplier on the refrigerator energy usage that can reflect, e.g., high/low usage occupants. If not provided, the OS-HPXML default (see HPXML Refrigerators) is used.

Options

From project_national the list of options, option stock saturation, and option arguments for the Refrigerator Usage Level characteristic.

Option name

Stock saturation

refrigerator_usage_multiplier

95% Usage

25%

0.95

100% Usage

50%

1.0

105% Usage

25%

1.05

Roof Material

Description

Roof material and color.

Created by

sources/recs/recs2020/tsv_maker.py

Source

  • U.S. EIA 2020 Residential Energy Consumption Survey (RECS) microdata.

Assumption

  • Multi-Family with 5+ Units is assigned ‘Asphalt Shingles, Medium’ only.

  • Due to low samples, Vintage ACS is progressively grouped into: pre-1960, 1960-1999, and 2000+.

  • Geometry Building Type RECS is progressively grouped into: Single-Family (including Mobile Home), and Multi-Family.

  • Census Division RECS is coarsened to Census Region.

Arguments

Name

Required

Units

Type

Choices

Description

roof_material_type

false

Choice

auto, asphalt or fiberglass shingles, concrete, cool roof, slate or tile shingles, expanded polystyrene sheathing, metal surfacing, plastic/rubber/synthetic sheeting, shingles, wood shingles or shakes

The material type of the roof. If not provided, the OS-HPXML default (see HPXML Roofs) is used.

roof_color

false

Choice

auto, dark, light, medium, medium dark, reflective

The color of the roof. If not provided, the OS-HPXML default (see HPXML Roofs) is used.

Options

From project_national the list of options, option stock saturation, and option arguments for the Roof Material characteristic.

Option name

Stock saturation

roof_material_type

roof_color

Asphalt Shingles, Medium

45%

asphalt or fiberglass shingles

medium

Composition Shingles

36%

asphalt or fiberglass shingles

medium

Metal, Dark

8.4%

metal surfacing

dark

Slate

1.2%

slate or tile shingles

medium

Tile, Clay or Ceramic

3.8%

slate or tile shingles

medium

Tile, Concrete

1.7%

slate or tile shingles

medium

Wood Shingles

4.2%

wood shingles or shakes

medium

State

Description

The U.S. State the sample is located.

Created by

sources/spatial/tsv_maker.py

Source

  • Spatial definitions are from the U.S. Census Bureau as of July 1, 2015.

  • Unit counts are from the American Community Survey 5-yr 2016.

Arguments

Name

Required

Units

Type

Choices

Description

site_state_code

false

Choice

auto, AK, AL, AR, AZ, CA, CO, CT, DC, DE, FL, GA, HI, IA, ID, IL, IN, KS, KY, LA, MA, MD, ME, MI, MN, MO, MS, MT, NC, ND, NE, NH, NJ, NM, NV, NY, OH, OK, OR, PA, RI, SC, SD, TN, TX, UT, VA, VT, WA, WI, WV, WY

State code of the home address. If not provided, the OS-HPXML default (see HPXML Site) is used.

extra_refrigerator_usage_multiplier

false

Double

auto

Multiplier on the extra refrigerator energy usage that can reflect, e.g., high/low usage occupants. If not provided, the OS-HPXML default (see HPXML Refrigerators) is used.

freezer_usage_multiplier

false

Double

auto

Multiplier on the freezer energy usage that can reflect, e.g., high/low usage occupants. If not provided, the OS-HPXML default (see HPXML Freezers) is used.

Options

From project_national the list of options, option stock saturation, and option arguments for the State characteristic.

Option name

Stock saturation

site_state_code

extra_refrigerator_usage_multiplier

freezer_usage_multiplier

AK

0.23%

AK

1.80

1.27

AL

1.6%

AL

1.76

1.34

AR

1%

AR

1.90

1.25

AZ

2.2%

AZ

1.74

1.09

CA

10%

CA

1.86

1.06

CO

1.7%

CO

1.85

1.06

CT

1.1%

CT

1.96

1.08

DC

0.23%

DC

2.15

1.21

DE

0.31%

DE

1.68

1.12

FL

6.8%

FL

1.87

1.04

GA

3.1%

GA

1.74

1.26

HI

0.4%

HI

1.94

1.21

IA

1%

IA

1.77

1.13

ID

0.51%

ID

1.62

1.38

IL

4%

IL

1.82

1.07

IN

2.1%

IN

1.78

1.25

KS

0.93%

KS

1.77

1.04

KY

1.5%

KY

1.80

1.19

LA

1.5%

LA

1.88

1.32

MA

2.1%

MA

2.00

1.06

MD

1.8%

MD

1.94

1.20

ME

0.54%

ME

1.88

1.09

MI

3.4%

MI

1.73

1.22

MN

1.8%

MN

1.72

1.27

MO

2%

MO

1.76

1.07

MS

0.97%

MS

1.85

1.34

MT

0.37%

MT

1.69

1.33

NC

3.3%

NC

1.80

1.10

ND

0.26%

ND

1.73

1.29

NE

0.61%

NE

1.85

1.19

NH

0.46%

NH

1.90

1.23

NJ

2.7%

NJ

1.81

1.05

NM

0.68%

NM

1.90

1.17

NV

0.9%

NV

1.87

1.02

NY

6.1%

NY

1.91

1.06

OH

3.8%

OH

1.81

1.12

OK

1.3%

OK

1.86

1.26

OR

1.3%

OR

1.84

1.39

PA

4.2%

PA

1.73

1.18

RI

0.35%

RI

1.91

0.97

SC

1.6%

SC

1.83

1.13

SD

0.28%

SD

1.83

1.37

TN

2.1%

TN

1.86

1.25

TX

7.8%

TX

1.84

1.18

UT

0.76%

UT

1.78

1.20

VA

2.6%

VA

1.80

1.14

VT

0.24%

VT

1.82

1.25

WA

2.2%

WA

1.76

1.14

WI

2%

WI

1.74

1.20

WV

0.66%

WV

1.68

1.15

WY

0.2%

WY

1.80

1.32

State Metro Median Income

Description

State Metro median income of the household occupying the dwelling unit. This is different from State Median Income in that the Income Limits are differentiated by Metro and Nonmetro portions of the state.

Created by

sources/pums/pums2019_5yrs/tsv_maker.py

Source

  • % State Metro Median Income is calculated using annual household income in 2019USD (continuous, not binned) from 2019-5yrs PUMS data and 2019 state median income (SMI) by metro/nonmetro area from HUD. A County Metro Status-differentiated Income Limits table is derived from the SMI by adjusting for household size only, which is consistent with how HUD’s published State Income Limits table is generated.

Options

From project_national the list of options, option stock saturation, and option arguments for the State Metro Median Income characteristic.

Option name

Stock saturation

0-30%

11%

30-60%

15%

60-80%

9.5%

80-100%

8.7%

100-120%

7.7%

120-150%

9.5%

150%+

27%

Not Available

12%

Tenure

Description

The tenancy (owner or renter) of the household occupying the dwelling unit.

Created by

sources/pums/pums2019_5yrs/tsv_maker.py

Source

  • 2019-5yrs Public Use Microdata Samples (PUMS). IPUMS USA, University of Minnesota, www.ipums.org.

Assumption

  • In ACS, Tenure is reported for occupied units only. By excluding Vacancy Status as a dependency, we assume vacant units share the same Tenure distribution as occupied units. Where sample counts are less than 10 (464 / 11680 rows), the Census Division by PUMA Metro Status average distribution has been inserted. ‘Mobile Home’ does not exist in DC and is replaced by ‘Single-Family Detached’.

Options

From project_national the list of options, option stock saturation, and option arguments for the Tenure characteristic.

Option name

Stock saturation

Not Available

12%

Owner

56%

Renter

32%

Usage Level

Description

Usage of major appliances relative to the national average.

Created by

manually created

Source

  • Engineering Judgement, Calibration

Options

From project_national the list of options, option stock saturation, and option arguments for the Usage Level characteristic.

Option name

Stock saturation

Low

25%

Medium

50%

High

25%

Average

0%

Vacancy Status

Description

The vacancy status (occupied or vacant) of the dwelling unit.

Created by

sources/pums/pums2019_5yrs/tsv_maker.py

Source

  • 2019-5yrs Public Use Microdata Samples (PUMS). IPUMS USA, University of Minnesota, www.ipums.org.

Assumption

  • Where sample counts are less than 10 (434 / 11680 rows), the State average distribution has been inserted. ‘Mobile Home’ does not exist in DC and is replaced by ‘Single-Family Detached’.

Arguments

Name

Required

Units

Type

Choices

Description

schedules_vacancy_periods

false

String

Specifies the vacancy periods. Enter a date like “Dec 15 - Jan 15”. Optionally, can enter hour of the day like “Dec 15 2 - Jan 15 20” (start hour can be 0 through 23 and end hour can be 1 through 24). If multiple periods, use a comma-separated list.

Options

From project_national the list of options, option stock saturation, and option arguments for the Vacancy Status characteristic.

Option name

Stock saturation

schedules_vacancy_periods

Occupied

88%

Vacant

12%

Jan 1 - Dec 31

Vintage

Description

Time period in which the building was constructed.

Created by

sources/pums/pums2019_5yrs/tsv_maker.py

Source

  • 2019-5yrs Public Use Microdata Samples (PUMS). IPUMS USA, University of Minnesota, www.ipums.org.

Assumption

  • Where sample counts are less than 10 (812 / 21024 rows), the State average distribution has been inserted. ‘Mobile Home’ does not exist in DC and is replaced by ‘Single-Family Detached’.

Arguments

Name

Required

Units

Type

Choices

Description

year_built

false

Integer

auto

The year the building was built.

vintage

false

String

The building vintage, used for informational purposes only.

Options

From project_national the list of options, option stock saturation, and option arguments for the Vintage characteristic.

Option name

Stock saturation

year_built

vintage

<1940

13%

auto

<1940

1940s

4.9%

auto

1940s

1950s

10%

auto

1950s

1960s

11%

auto

1960s

1970s

15%

auto

1970s

1980s

13%

auto

1980s

1990s

14%

auto

1990s

2000s

14%

auto

2000s

2010s

5.1%

auto

2010s

Vintage ACS

Description

Time period in which the dwelling unit was constructed as defined by the U.S. Census American Community Survey.

Created by

sources/pums/pums2019_5yrs/tsv_maker.py

Source

  • 2019-5yrs Public Use Microdata Samples (PUMS). IPUMS USA, University of Minnesota, www.ipums.org.

Options

From project_national the list of options, option stock saturation, and option arguments for the Vintage ACS characteristic.

Option name

Stock saturation

<1940

13%

1940-59

15%

1960-79

26%

1980-99

27%

2000-09

14%

2010s

5.1%

Water Heater Efficiency

Description

The efficiency, type, and heating fuel of water heater.

Created by

sources/recs/recs2020/tsv_maker.py

Source

  • U.S. EIA 2020 Residential Energy Consumption Survey (RECS) microdata.

  • (Heat pump water heaters) 2016-17 RBSA II for WA and OR and Butzbaugh et al. 2017 US HPWH Market Transformation - Where We’ve Been and Where to Go Next for remainder of regions

  • Penetration of HPWH for Maine (6.71%) calculated based on total number of HPWH units (AWHI Stakeholder Meeting 12/08/2022) and total housing units https://www.census.gov/quickfacts/ME

Assumption

  • Water heater blanket is used as a proxy for premium storage tank water heaters.

  • Heat Pump Water Heaters are added in manually as they are not in the survey.

  • Default efficiency of HPWH: Electric Heat Pump, 50 gal, 3.45 UEF.

  • Default solar thermal collector assumed: 40 sqft, Roof Pitch,

  • Solar thermal backup is informed by secondary water heater fuel type. Solar collector orientation is based on rooftop solar orientation for electric backup and assumed south-facing for fuel backup. If a solar thermal system has no secondary water heater or has a second solar thermal system, they are assumed to have electric backup.

  • Other Fuel water heater energy is modeled as coal

  • Due to low sample sizes, fallback rules applied with lumping of:

    • [1] State: Census Division RECS

    • [2] State: Census Region[3] State: National

Arguments

Name

Required

Units

Type

Choices

Description

water_heater_type

true

Choice

none, storage water heater, instantaneous water heater, heat pump water heater, space-heating boiler with storage tank, space-heating boiler with tankless coil

The type of water heater. Use ‘none’ if there is no water heater.

water_heater_fuel_type

true

Choice

electricity, natural gas, fuel oil, propane, wood, coal

The fuel type of water heater. Ignored for heat pump water heater.

water_heater_tank_volume

false

gal

Double

auto

Nominal volume of water heater tank. If not provided, the OS-HPXML default (see Conventional Storage, Heat Pump, Combi Boiler w/ Storage) is used.

water_heater_efficiency_type

true

Choice

EnergyFactor, UniformEnergyFactor

The efficiency type of water heater. Does not apply to space-heating boilers.

water_heater_efficiency

true

Double

Rated Energy Factor or Uniform Energy Factor. Does not apply to space-heating boilers.

water_heater_usage_bin

false

Choice

auto, very small, low, medium, high

The usage of the water heater. Only applies if Efficiency Type is UniformEnergyFactor and Type is not instantaneous water heater. Does not apply to space-heating boilers. If not provided, the OS-HPXML default (see Conventional Storage, Heat Pump) is used.

water_heater_recovery_efficiency

false

Frac

Double

auto

Ratio of energy delivered to water heater to the energy content of the fuel consumed by the water heater. Only used for non-electric storage water heaters. If not provided, the OS-HPXML default (see Conventional Storage) is used.

water_heater_heating_capacity

false

Btu/hr

Double

auto

Heating capacity. Only applies to storage water heater and heat pump water heater (compressor). If not provided, the OS-HPXML default (see Conventional Storage, Heat Pump) is used.

water_heater_backup_heating_capacity

false

Btu/hr

Double

auto

Backup heating capacity for a heat pump water heater. If not provided, the OS-HPXML default (see Heat Pump) is used.

water_heater_standby_loss

false

F/hr

Double

auto

The standby loss of water heater. Only applies to space-heating boilers. If not provided, the OS-HPXML default (see Combi Boiler w/ Storage) is used.

water_heater_jacket_rvalue

false

h-ft^2-R/Btu

Double

The jacket R-value of water heater. Doesn’t apply to instantaneous water heater or space-heating boiler with tankless coil. If not provided, defaults to no jacket insulation.

water_heater_setpoint_temperature

false

F

Double

auto

The setpoint temperature of water heater. If not provided, the OS-HPXML default (see HPXML Water Heating Systems) is used.

water_heater_num_bedrooms_served

false

#

Integer

Number of bedrooms served (directly or indirectly) by the water heater. Only needed if single-family attached or apartment unit and it is a shared water heater serving multiple dwelling units. Used to apportion water heater tank losses to the unit.

water_heater_uses_desuperheater

false

Boolean

auto, true, false

Requires that the dwelling unit has a air-to-air, mini-split, or ground-to-air heat pump or a central air conditioner or mini-split air conditioner. If not provided, assumes no desuperheater.

water_heater_tank_model_type

false

Choice

auto, mixed, stratified

Type of tank model to use. The ‘stratified’ tank generally provide more accurate results, but may significantly increase run time. Applies only to storage water heater. If not provided, the OS-HPXML default (see Conventional Storage) is used.

water_heater_operating_mode

false

Choice

auto, hybrid/auto, heat pump only

The water heater operating mode. The ‘heat pump only’ option only uses the heat pump, while ‘hybrid/auto’ allows the backup electric resistance to come on in high demand situations. This is ignored if a scheduled operating mode type is selected. Applies only to heat pump water heater. If not provided, the OS-HPXML default (see Heat Pump) is used.

solar_thermal_system_type

true

Choice

none, hot water

The type of solar thermal system. Use ‘none’ if there is no solar thermal system.

solar_thermal_collector_area

true

ft^2

Double

The collector area of the solar thermal system.

solar_thermal_collector_loop_type

true

Choice

liquid direct, liquid indirect, passive thermosyphon

The collector loop type of the solar thermal system.

solar_thermal_collector_type

true

Choice

evacuated tube, single glazing black, double glazing black, integrated collector storage

The collector type of the solar thermal system.

solar_thermal_collector_azimuth

true

degrees

Double

The collector azimuth of the solar thermal system. Azimuth is measured clockwise from north (e.g., North=0, East=90, South=180, West=270).

solar_thermal_collector_tilt

true

degrees

String

The collector tilt of the solar thermal system. Can also enter, e.g., RoofPitch, RoofPitch+20, Latitude, Latitude-15, etc.

solar_thermal_collector_rated_optical_efficiency

true

Frac

Double

The collector rated optical efficiency of the solar thermal system.

solar_thermal_collector_rated_thermal_losses

true

Btu/hr-ft^2-R

Double

The collector rated thermal losses of the solar thermal system.

solar_thermal_storage_volume

false

gal

Double

auto

The storage volume of the solar thermal system. If not provided, the OS-HPXML default (see Detailed Inputs) is used.

solar_thermal_solar_fraction

true

Frac

Double

The solar fraction of the solar thermal system. If provided, overrides all other solar thermal inputs.

water_heater_has_flue_or_chimney

true

String

Whether the water heater has a flue or chimney.

Options

From project_national the list of options, option stock saturation, and option arguments for the Water Heater Efficiency characteristic.

Option name

Stock saturation

water_heater_type

water_heater_fuel_type

water_heater_tank_volume

water_heater_efficiency_type

water_heater_efficiency

water_heater_usage_bin

water_heater_recovery_efficiency

water_heater_heating_capacity

water_heater_backup_heating_capacity

water_heater_standby_loss

water_heater_jacket_rvalue

water_heater_setpoint_temperature

water_heater_num_bedrooms_served

water_heater_uses_desuperheater

water_heater_tank_model_type

water_heater_operating_mode

solar_thermal_system_type

solar_thermal_collector_area

solar_thermal_collector_loop_type

solar_thermal_collector_type

solar_thermal_collector_azimuth

solar_thermal_collector_tilt

solar_thermal_collector_rated_optical_efficiency

solar_thermal_collector_rated_thermal_losses

solar_thermal_storage_volume

solar_thermal_solar_fraction

water_heater_has_flue_or_chimney

Electric Heat Pump, 50 gal, 3.45 UEF

0.31%

heat pump water heater

electricity

50

UniformEnergyFactor

3.45

auto

0

auto

auto

0

0

125

auto

auto

auto

auto

none

40

liquid indirect

single glazing black

0

0

0.77

0.793

auto

0

auto

Electric Heat Pump, 66 gal, 3.35 UEF

0%

heat pump water heater

electricity

66

UniformEnergyFactor

3.35

auto

0

auto

auto

0

0

125

auto

auto

auto

auto

none

40

liquid indirect

single glazing black

0

0

0.77

0.793

auto

0

auto

Electric Heat Pump, 80 gal, 3.45 UEF

0%

heat pump water heater

electricity

80

UniformEnergyFactor

3.45

auto

0

auto

auto

0

0

125

auto

auto

auto

auto

none

40

liquid indirect

single glazing black

0

0

0.77

0.793

auto

0

auto

Electric Premium

9.9%

storage water heater

electricity

auto

EnergyFactor

0.95

auto

0

auto

auto

0

0

125

auto

auto

auto

auto

none

40

liquid indirect

single glazing black

0

0

0.77

0.793

auto

0

auto

Electric Standard

36%

storage water heater

electricity

auto

EnergyFactor

0.92

auto

0

auto

auto

0

0

125

auto

auto

auto

auto

none

40

liquid indirect

single glazing black

0

0

0.77

0.793

auto

0

auto

Electric Tankless

2%

instantaneous water heater

electricity

0

EnergyFactor

0.99

auto

0

auto

auto

0

0

125

auto

auto

auto

auto

none

40

liquid indirect

single glazing black

0

0

0.77

0.793

auto

0

auto

FIXME Fuel Oil Indirect

0.72%

storage water heater

fuel oil

auto

EnergyFactor

0.62

auto

0.78

auto

auto

0

0

125

auto

auto

auto

auto

none

40

liquid indirect

single glazing black

0

0

0.77

0.793

auto

0

auto

Fuel Oil Premium

0.47%

storage water heater

fuel oil

auto

EnergyFactor

0.68

auto

0.9

auto

auto

0

0

125

auto

auto

auto

auto

none

40

liquid indirect

single glazing black

0

0

0.77

0.793

auto

0

auto

Fuel Oil Standard

1.4%

storage water heater

fuel oil

auto

EnergyFactor

0.62

auto

0.78

auto

auto

0

0

125

auto

auto

auto

auto

none

40

liquid indirect

single glazing black

0

0

0.77

0.793

auto

0

auto

Natural Gas Premium

8.3%

storage water heater

natural gas

auto

EnergyFactor

0.67

auto

0.78

auto

auto

0

0

125

auto

auto

auto

auto

none

40

liquid indirect

single glazing black

0

0

0.77

0.793

auto

0

auto

Natural Gas Standard

33%

storage water heater

natural gas

auto

EnergyFactor

0.59

auto

0.76

auto

auto

0

0

125

auto

auto

auto

auto

none

40

liquid indirect

single glazing black

0

0

0.77

0.793

auto

0

auto

Natural Gas Tankless

2.9%

instantaneous water heater

natural gas

0

EnergyFactor

0.82

auto

0

auto

auto

0

0

125

auto

auto

auto

auto

none

40

liquid indirect

single glazing black

0

0

0.77

0.793

auto

0

auto

Other Fuel

0.044%

storage water heater

coal

auto

EnergyFactor

0.59

auto

0.76

auto

auto

0

0

125

auto

auto

auto

auto

none

40

liquid indirect

single glazing black

0

0

0.77

0.793

auto

0

auto

Propane Premium

0.63%

storage water heater

propane

auto

EnergyFactor

0.67

auto

0.78

auto

auto

0

0

125

auto

auto

auto

auto

none

40

liquid indirect

single glazing black

0

0

0.77

0.793

auto

0

auto

Propane Standard

2.4%

storage water heater

propane

auto

EnergyFactor

0.59

auto

0.76

auto

auto

0

0

125

auto

auto

auto

auto

none

40

liquid indirect

single glazing black

0

0

0.77

0.793

auto

0

auto

Propane Tankless

0.92%

instantaneous water heater

propane

0

EnergyFactor

0.82

auto

0

auto

auto

0

0

125

auto

auto

auto

auto

none

40

liquid indirect

single glazing black

0

0

0.77

0.793

auto

0

auto

Solar Thermal, 40 sqft, East, Roof Pitch, Electric Standard Backup

0.037%

storage water heater

electricity

auto

EnergyFactor

0.97

auto

0.98

auto

auto

0

6.2

125

auto

auto

auto

auto

hot water

40

liquid indirect

single glazing black

90

roofpitch

0.77

0.793

auto

0

auto

Solar Thermal, 40 sqft, North, Roof Pitch, Electric Standard Backup

0.004%

storage water heater

electricity

auto

EnergyFactor

0.97

auto

0.98

auto

auto

0

6.2

125

auto

auto

auto

auto

hot water

40

liquid indirect

single glazing black

0

roofpitch

0.77

0.793

auto

0

auto

Solar Thermal, 40 sqft, South, Roof Pitch, Electric Standard Backup

0.093%

storage water heater

electricity

auto

EnergyFactor

0.97

auto

0.98

auto

auto

0

6.2

125

auto

auto

auto

auto

hot water

40

liquid indirect

single glazing black

180

roofpitch

0.77

0.793

auto

0

auto

Solar Thermal, 40 sqft, South, Roof Pitch, Fuel Oil Standard Backup

0.00032%

storage water heater

fuel oil

auto

EnergyFactor

0.62

auto

0.78

auto

auto

0

0

125

auto

auto

auto

auto

hot water

40

liquid indirect

single glazing black

180

roofpitch

0.77

0.793

auto

0

auto

Solar Thermal, 40 sqft, South, Roof Pitch, Natural Gas Standard Backup

0.002%

storage water heater

natural gas

auto

EnergyFactor

0.59

auto

0.76

auto

auto

0

0

125

auto

auto

auto

auto

hot water

40

liquid indirect

single glazing black

180

roofpitch

0.77

0.793

auto

0

auto

Solar Thermal, 40 sqft, South, Roof Pitch, Propane Standard Backup

0.0058%

storage water heater

propane

auto

EnergyFactor

0.59

auto

0.76

auto

auto

0

0

125

auto

auto

auto

auto

hot water

40

liquid indirect

single glazing black

180

roofpitch

0.77

0.793

auto

0

auto

Solar Thermal, 40 sqft, West, Roof Pitch, Electric Standard Backup

0.022%

storage water heater

electricity

auto

EnergyFactor

0.97

auto

0.98

auto

auto

0

6.2

125

auto

auto

auto

auto

hot water

40

liquid indirect

single glazing black

270

roofpitch

0.77

0.793

auto

0

auto

Wood

0.076%

storage water heater

wood

auto

EnergyFactor

0.59

auto

0.76

auto

auto

0

0

125

auto

auto

auto

auto

none

40

liquid indirect

single glazing black

0

0

0.77

0.793

auto

0

auto

Water Heater Fuel

Description

The water heater fuel type.

Created by

sources/recs/recs2020/tsv_maker.py and sources/aris/tsv_maker.py

Source

  • U.S. EIA 2020 Residential Energy Consumption Survey (RECS) microdata.

  • Alaska specific distribution is based on Alaska Retrofit Information System (2008 to 2022) maintained by Alaska Housing Finance Corporation.

Assumption

  • After conversations with EIA, other fuel is a combination of units with no-water heater, biomass, coal, or district steam systems.

  • Due to low sample sizes, fallback rules applied with lumping of:

    • [1] Geometry building SF: Mobile, Single family attached, Single family detached

    • [2] Geometry building MF: Multi-Family with 2 - 4 Units, Multi-Family with 5+ Units

    • [3] State: Census Division RECS

    • [4] State: Census Region

    • [5] State: National

  • For Alaska, we are using a field in ARIS that lumps multi-family 2-4 units and multi-family 5+ units buildings together. Data from the American Community Survey is used to distribute the between these two building types.

  • For Alaska, wood and coal heating is modeled as other fuel.

  • For Alaska, when a building uses more than one fuel for water heating, the fuel with highest consumption is considered the water heater fuel. Rest of the fuels are ignored.

Options

From project_national the list of options, option stock saturation, and option arguments for the Water Heater Fuel characteristic.

Option name

Stock saturation

Electricity

48%

Fuel Oil

2.6%

Natural Gas

45%

Other Fuel

0.044%

Propane

3.9%

Solar Thermal

0.16%

Wood

0.076%

Water Heater In Unit

Description

Individual water heater present or not present in the dwelling unit that solely serves the specific dwelling unit.

Created by

sources/recs/recs2020/tsv_maker.py

Source

  • U.S. EIA 2020 Residential Energy Consumption Survey (RECS) microdata.

Assumption

  • Single-Family Detached and Mobile Homes have in unit water heaters.

  • As Not Applicable option for Single-Family Attached option is 100%

  • Assuming Single-Family Attached in-unit water heater distribution from RECS 2009

  • Due to low sample sizes, fallback rules applied with lumping of:

    • [1] State: Census Division RECS

    • [2] Vintage ACS: Combining Vintage pre 1960s and post 2000

    • [3] State: Census Region

Options

From project_national the list of options, option stock saturation, and option arguments for the Water Heater In Unit characteristic.

Option name

Stock saturation

No

14%

Yes

86%

Water Heater Location

Description

location of water heater.

Created by

sources/recs/recs2020/tsv_maker.py

Source

  • U.S. EIA 2020 Residential Energy Consumption Survey (RECS) microdata.

Assumption

  • H2OMAIN = other is equally distributed amongst attic and crawlspace.

  • H2OMAIN does not apply to multi-family, therefore Water heater location for multi-family with in-unit water heater is taken after the combined distribution of other building types.

  • out-of-unit water heater is assumed to be in Conditioned Mechanical Room. Per expert judgement, water heaters can not be outside or in vented spaces for IECC Climate Zones 4-8 due to pipe-freezing risk.

  • Where samples < 10, data is aggregated in the following order:

  • 1. Building Type lumped into single-family, multi-family, and mobile home.

  • 2. 1 + Foundation Type combined. 3. 2 + Attic Type combined

  • 4. 3 + Garage combined.

  • 5. Single-/Multi-Family + Foundation combined + Attic combined + Garage combined.

  • 6. 5 + pre-1960 combined.

  • 7. 5 + pre-1960 combined / post-2020 combined.

  • 8. 7 + IECC Climate Zone lumped into: 1-2+3A, 3B-3C, 4, 5, 6, 7 except AK, 7AK-8AK.

  • 9. 7 + IECC Climate Zone lumped into: 1-2-3, 4-8.

Arguments

Name

Required

Units

Type

Choices

Description

water_heater_location

false

Choice

auto, conditioned space, basement - conditioned, basement - unconditioned, garage, attic, attic - vented, attic - unvented, crawlspace, crawlspace - vented, crawlspace - unvented, crawlspace - conditioned, other exterior, other housing unit, other heated space, other multifamily buffer space, other non-freezing space

The location of water heater. If not provided, the OS-HPXML default (see HPXML Water Heating Systems) is used.

Options

From project_national the list of options, option stock saturation, and option arguments for the Water Heater Location characteristic.

Option name

Stock saturation

water_heater_location

Attic

0.87%

attic

Conditioned Mechanical Room

14%

other heated space

Crawlspace

0.18%

crawlspace

Garage

15%

garage

Heated Basement

11%

basement - conditioned

Living Space

43%

conditioned space

Outside

7.1%

other exterior

Unheated Basement

8.7%

basement - unconditioned

Window Areas

Description

Window to wall ratios of the front, back, left, and right walls.

Created by

sources/rbsa_II/tsv_maker.py

Source

  • 2016-17 Residential Building Stock Assessment (RBSA) II microdata.

Assumption

  • The window to wall ratios (WWR) are exponential weibull distributed.

  • Multi-Family with 2-4 Units distributions are independent of Geometry Stories

  • Multi-Family with 5+ Units distributions are grouped by 1-3 stories, 4-7 stories, and 8+ stories

  • High-rise Multi-family buildings (8+ stories) have a 30% window to wall ratio (WWR)

  • SFD, SFA, and Mobile Homes are represented by the SFD window area distribution

Arguments

Name

Required

Units

Type

Choices

Description

window_front_wwr

true

Frac

Double

The ratio of window area to wall area for the unit’s front facade. Enter 0 if specifying Front Window Area instead. If the front wall is adiabatic, the value will be ignored.

window_back_wwr

true

Frac

Double

The ratio of window area to wall area for the unit’s back facade. Enter 0 if specifying Back Window Area instead. If the back wall is adiabatic, the value will be ignored.

window_left_wwr

true

Frac

Double

The ratio of window area to wall area for the unit’s left facade (when viewed from the front). Enter 0 if specifying Left Window Area instead. If the left wall is adiabatic, the value will be ignored.

window_right_wwr

true

Frac

Double

The ratio of window area to wall area for the unit’s right facade (when viewed from the front). Enter 0 if specifying Right Window Area instead. If the right wall is adiabatic, the value will be ignored.

window_area_front

true

ft^2

Double

The amount of window area on the unit’s front facade. Enter 0 if specifying Front Window-to-Wall Ratio instead. If the front wall is adiabatic, the value will be ignored.

window_area_back

true

ft^2

Double

The amount of window area on the unit’s back facade. Enter 0 if specifying Back Window-to-Wall Ratio instead. If the back wall is adiabatic, the value will be ignored.

window_area_left

true

ft^2

Double

The amount of window area on the unit’s left facade (when viewed from the front). Enter 0 if specifying Left Window-to-Wall Ratio instead. If the left wall is adiabatic, the value will be ignored.

window_area_right

true

ft^2

Double

The amount of window area on the unit’s right facade (when viewed from the front). Enter 0 if specifying Right Window-to-Wall Ratio instead. If the right wall is adiabatic, the value will be ignored.

window_aspect_ratio

true

Frac

Double

Ratio of window height to width.

skylight_area_front

true

ft^2

Double

The amount of skylight area on the unit’s front conditioned roof facade.

skylight_area_back

true

ft^2

Double

The amount of skylight area on the unit’s back conditioned roof facade.

skylight_area_left

true

ft^2

Double

The amount of skylight area on the unit’s left conditioned roof facade (when viewed from the front).

skylight_area_right

true

ft^2

Double

The amount of skylight area on the unit’s right conditioned roof facade (when viewed from the front).

Options

From project_national the list of options, option stock saturation, and option arguments for the Window Areas characteristic.

Option name

Stock saturation

window_front_wwr

window_back_wwr

window_left_wwr

window_right_wwr

window_area_front

window_area_back

window_area_left

window_area_right

window_aspect_ratio

skylight_area_front

skylight_area_back

skylight_area_left

skylight_area_right

F6 B6 L6 R6

7.8%

0.06

0.06

0.06

0.06

0

0

0

0

1.333

0

0

0

0

F9 B9 L9 R9

25%

0.09

0.09

0.09

0.09

0

0

0

0

1.333

0

0

0

0

F12 B12 L12 R12

25%

0.12

0.12

0.12

0.12

0

0

0

0

1.333

0

0

0

0

F15 B15 L15 R15

16%

0.15

0.15

0.15

0.15

0

0

0

0

1.333

0

0

0

0

F18 B18 L18 R18

17%

0.18

0.18

0.18

0.18

0

0

0

0

1.333

0

0

0

0

F30 B30 L30 R30

8.9%

0.30

0.30

0.30

0.30

0

0

0

0

1.333

0

0

0

0

Windows

Description

Construction type and efficiency levels of windows.

Created by

sources/recs/recs2020/tsv_maker.py

Source

  • U.S. EIA 2020 Residential Energy Consumption Survey (RECS) microdata.

Assumption

  • Wood and Vinyl are considered same material

  • Triple Pane assumed to be 100% low-e

  • Only breaking out clear and low-e windows for the Double, Non-Metal frame type

  • Source of low-e distribution is based on engineering judgement, informed by high-levelsales trends observed in Ducker Worldwide studies of the U.S. Market for Windows, Doors and Skylights.

  • Due to low sample sizes, the following adjustments are made:

    • [1] Vintage data are grouped into: 1) <1960, 2) 1960-79, 3) 1980-99, 4) 2000s, 5) 2010s.

    • [2] Building Type data are grouped into: 1) Single-Family Detached, Single-Family Attached, and Mobile homes and 2) Multi-Family 2-4 units and Multi-Family 5+ units.

    • [3] Climate zones are grouped into: 1) 1A, 2A, 2B

  • 2) 3A, 3B, 3C, 4B

  • 3) 4A, 4C

  • 4) 5A, 5B

  • 5) 6A, 6B

  • and 6) 7A, 7B 7AK, 8AK.

    • [4] Federal Poverty Levels are progressively grouped together until all bins are combined.

    • [5] Tenure options are progressively grouped together until all bins are combined.

  • Storm window saturations are based on D&R International, Ltd. ‘Residential Windows and Window Coverings: A Detailed View of the Installed Base and User Behavior’ 2013. https://www.energy.gov/sites/prod/files/2013/11/f5/residential_windows_coverings.pdf. Cut the % storm windows by factor of 55% because only 55% of storms are installed year round

  • Due to lack of performance data storm windows with triple-pane are modeled without the storm windows

  • Due to lack of performance data Double-pane, Low-E, Non-Metal, Air, M-gain, Exterior Clear Storm windows are modeled as Double-pane, Clear, Non-Metal, Air, Exterior Clear Storm windows

Arguments

Name

Required

Units

Type

Choices

Description

window_natvent_availability

false

Days/week

Integer

auto

For operable windows, the number of days/week that windows can be opened by occupants for natural ventilation. If not provided, the OS-HPXML default (see HPXML Windows) is used.

window_ufactor

true

Btu/hr-ft^2-R

Double

Full-assembly NFRC U-factor.

window_shgc

true

Double

Full-assembly NFRC solar heat gain coefficient.

window_exterior_shading_type

false

Choice

auto, solar film, solar screens, none

Type of window exterior shading. Summer/winter shading coefficients can be provided below instead. If neither is provided, the OS-HPXML default (see HPXML Exterior Shading) is used.

window_exterior_shading_winter

false

Frac

Double

auto

Exterior shading coefficient for the winter season, which if provided overrides the shading type input. 1.0 indicates no reduction in solar gain, 0.85 indicates 15% reduction, etc. If not provided, the OS-HPXML default (see HPXML Exterior Shading) is used.

window_exterior_shading_summer

false

Frac

Double

auto

Exterior shading coefficient for the summer season, which if provided overrides the shading type input. 1.0 indicates no reduction in solar gain, 0.85 indicates 15% reduction, etc. If not provided, the OS-HPXML default (see HPXML Exterior Shading) is used.

window_shading_summer_season

false

String

auto

Enter a date range like ‘May 1 - Sep 30’. Defines the summer season for purposes of shading coefficients; the rest of the year is assumed to be winter. If not provided, the OS-HPXML default (see HPXML Windows) is used.

window_insect_screens

false

Choice

auto, none, exterior, interior

The type of insect screens, if present. If not provided, assumes there are no insect screens.

skylight_ufactor

true

Btu/hr-ft^2-R

Double

Full-assembly NFRC U-factor.

skylight_shgc

true

Double

Full-assembly NFRC solar heat gain coefficient.

skylight_storm_type

false

Choice

auto, clear, low-e

The type of storm, if present. If not provided, assumes there is no storm.

Options

From project_national the list of options, option stock saturation, and option arguments for the Windows characteristic.

Option name

Stock saturation

window_natvent_availability

window_ufactor

window_shgc

window_exterior_shading_type

window_exterior_shading_winter

window_exterior_shading_summer

window_shading_summer_season

window_insect_screens

skylight_ufactor

skylight_shgc

skylight_storm_type

Double, Clear, Metal, Air

19%

auto

0.76

0.67

auto

auto

auto

auto

auto

0.37

0.3

auto

Double, Clear, Metal, Air, Exterior Clear Storm

1.5%

auto

0.55

0.51

auto

auto

auto

auto

auto

0.37

0.3

auto

Double, Clear, Non-metal, Air

19%

auto

0.49

0.56

auto

auto

auto

auto

auto

0.37

0.3

auto

Double, Clear, Non-metal, Air, Exterior Clear Storm

3.5%

auto

0.34

0.49

auto

auto

auto

auto

auto

0.37

0.3

auto

Double, Low-E, Non-metal, Air, M-Gain

22%

auto

0.38

0.44

auto

auto

auto

auto

auto

0.37

0.3

auto

Single, Clear, Metal

14%

auto

1.16

0.76

auto

auto

auto

auto

auto

0.37

0.3

auto

Single, Clear, Metal, Exterior Clear Storm

0.99%

auto

0.67

0.56

auto

auto

auto

auto

auto

0.37

0.3

auto

Single, Clear, Non-metal

17%

auto

0.84

0.63

auto

auto

auto

auto

auto

0.37

0.3

auto

Single, Clear, Non-metal, Exterior Clear Storm

1.5%

auto

0.47

0.54

auto

auto

auto

auto

auto

0.37

0.3

auto

Triple, Low-E, Non-metal, Air, L-Gain

1.8%

auto

0.29

0.26

auto

auto

auto

auto

auto

0.37

0.3

auto

Void

0%