20210120
08114500
1.0
FALSE
SmartLocationDatabase_JeffCoClip
002
Projected
GCS_North_American_1983
Linear Unit: Meter (1.000000)
USA_Contiguous_Albers_Equal_Area_Conic_USGS_version
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20240327
17132100
20240327
17132100
Esri ArcGIS 13.1.3.41833
SmartLocationDatabase_JeffCoClip
<div><a href='https://apd.maps.arcgis.com/home/item.html?id=c04a6d035bc2443ba1d4a995280100b2' target='_blank' rel='nofollow ugc noopener noreferrer'>This EPA web service</a> provides a sample of variables from EPA's Smart Location Database (SLD), a consolidated geographic data resource for measuring location efficiency. The SLD includes over 90 different variables characterizing the built environment, accessibility to destinations, employment, and demographics for every census block group in the United States. Data reflects conditions in 2010 unless otherwise noted. <br /></div><div><br /></div><div>This data is an extract for Louisville, KY and includes data on Gross Activity Density. This metric calculates the total activity activity density (housing units + jobs) per land acre according to the American Community Survey (ACS) Five-Year Estimates (2014-2018). This metric was refined to reflect density only in areas where development can occur. Parks and protected areas were removed in advance of density calculation. To convert to density per hectare, divide by 0.4. See user guide for details: https://edg.epa.gov/data/Public/OP/SLD/SLD_userguide.pdf</div>
The EPA content item depicts EPA Smart Locations in the built environment, land use, transit, accessibility, employment, and demographic characteristics for every census block group in the US for 2019.
Content Item: U.S. Environmental Protection Agency, Office of Mission Support; Data Steward: U.S. Environmental Protection Agency, Office of the Administrator
<img alt='Logo of the US EPA' src='https://epa.maps.arcgis.com/sharing/rest/content/items/094c946babab45fab42e433dcd2b10d8/data' style='max-width:100%; height:auto; font-family:"Avenir Next W01", "Avenir Next W00", "Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px;' /><span style='font-family:"Avenir Next W01", "Avenir Next W00", "Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px;'> This content item is licensed under the US EPA Data Licensing Agreement for </span><b>public </b><span style='font-family:"Avenir Next W01", "Avenir Next W00", "Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px;'>use.</span><div style='font-family:"Avenir Next W01", "Avenir Next W00", "Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px;'><font color='#000080'><a href='https://edg.epa.gov/EPA_Data_License.html' style='color:rgb(0, 97, 155); text-decoration-line:none;' target='_blank' rel='nofollow ugc noopener noreferrer'><b><font color='#000080'>License Summary</font></b></a></font><b> </b>| <a href='https://www.epa.gov/web-policies-and-procedures/epa-disclaimers#geospatial' style='color:rgb(0, 97, 155); text-decoration-line:none;' target='_blank' rel='nofollow ugc noopener noreferrer'><b><font color='#000080'>Terms of Use</font></b></a></div><div style='font-family:"Avenir Next W01", "Avenir Next W00", "Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px;'><font color='#000080'><br /></font></div><div style='font-family:"Avenir Next W01", "Avenir Next W00", "Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px;'><div style='text-align:justify;'><font size='3'><a href='https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B75533E17-C91F-4D96-82C2-CB5CC977D78F%7D' style='color:rgb(0, 0, 128); text-decoration-line:none; font-family:"Avenir Next", Avenir, "Helvetica Neue", Helvetica, Arial, sans-serif;' target='_blank' rel='nofollow ugc noopener noreferrer'>Shared Enterprise Geodata and Services</a><span style='font-family:inherit;'><font color='#2f4f4f'> </font></span><font color='#2f4f4f'><span style='font-family:inherit;'>(SEGS) is an EPA-curated collection of recommended geodata assets that are nationally relevant and support the Agency’s mission to protect human health and the environment. 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EPASocietySEGSLand UseTransportationPlanningSmart Location IndexLocation EfficiencySOCTransitSmart Location DatabaseU.S. Environmental Protection AgencyUS EPAEnvironmental JusticeEJSocialWAB_Louisville_BIP_Internal_Web_App
File Geodatabase Feature Class
dataset
Esri
8.1.2
0
Simple
FALSE
0
TRUE
FALSE
SmartLocationDatabase_JeffCoClip
Feature Class
0
OBJECTID
OBJECTID
OID
4
0
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
Shape
Shape
Geometry
0
0
0
Feature geometry.
Esri
Coordinates defining the features.
GEOID10
Census block group 12-digit FIPS code (2010)
String
12
0
0
GEOID20
Census block group 12-digit FIPS code (2018)
String
50
0
0
STATEFP
State FIPS code
String
2
0
0
COUNTYFP
County FIPS code
String
3
0
0
TRACTCE
Census tract FIPS code in which CBG resides
String
6
0
0
BLKGRPCE
Census block group FIPS code in which CBG resides
String
1
0
0
CSA
Combined Statistical Area (CSA) Code
String
3
0
0
CSA_Name
Name of CSA in which CBG resides
String
100
0
0
CBSA
FIPS for Core-Based Statistical Area (CBSA) in which CBG resides
String
5
0
0
CBSA_Name
Name of CBSA in which CBG resides
String
100
0
0
CBSA_POP
Total population in CBSA
Double
8
0
0
CBSA_EMP
Total employment in CBSA
Double
8
0
0
CBSA_WRK
Total number of workers that live in CBSA
Double
8
0
0
Ac_Total
Total geometric area (acres) of the CBG
Double
8
0
0
Ac_Water
Total water area (acres)
Double
8
0
0
Ac_Land
Total land area (acres)
Double
8
0
0
Ac_Unpr
Total land area (acres) that is not protected from development (i.e., not a park, natural area or conservation area)
Double
8
0
0
TotPop
Population, 2018
Integer
4
0
0
CountHU
Housing units, 2018
Integer
4
0
0
HH
Households (occupied housing units), 2018
Integer
4
0
0
P_WrkAge
Percent of population that is working aged 18 to 64 years, 2018
Double
8
0
0
AutoOwn0
Number of households in CBG that own zero automobiles, 2018
Integer
4
0
0
Pct_AO0
Percent of zero-car households in CBG, 2018
Double
8
0
0
AutoOwn1
Number of households in CBG that own one automobile, 2018
Integer
4
0
0
Pct_AO1
Percent of one-car households in CBG, 2018
Double
8
0
0
AutoOwn2p
Number of households in CBG that own two or more automobiles, 2018
Integer
4
0
0
Pct_AO2p
Percent of two-plus-car households in CBG, 2018
Double
8
0
0
Workers
Count of workers in CBG (home location), 2017
Integer
4
0
0
R_LowWageWk
Count of workers earning $1250/month or less (home location), 2017
Integer
4
0
0
R_MedWageWk
Count of workers earning more than $1250/month but less than $3333/month (home location), 2017
Integer
4
0
0
R_HiWageWk
Count of workers earning $3333/month or more (home location), 2017
Integer
4
0
0
R_PCTLOWWAGE
Percent of low wage workers in a CBG (home location), 2017
Double
8
0
0
TotEmp
Total employment, 2017
Integer
4
0
0
E5_Ret
Retail jobs within a 5-tier employment classification scheme
Integer
4
0
0
E5_Off
Office jobs within a 5-tier employment classification scheme
Integer
4
0
0
E5_Ind
Industrial jobs within a 5-tier employment classification scheme
Integer
4
0
0
E5_Svc
Service jobs within a 5-tier employment classification scheme
Integer
4
0
0
E5_Ent
Entertainment jobs within a 5-tier employment classification scheme
Integer
4
0
0
E8_Ret
Retail jobs within an 8-tier employment classification scheme
Integer
4
0
0
E8_off
Office jobs within an 8-tier employment classification scheme
Integer
4
0
0
E8_Ind
Industrial jobs within an 8-tier employment classification scheme
Integer
4
0
0
E8_Svc
Service jobs within an 8-tier employment classification scheme
Integer
4
0
0
E8_Ent
Entertainment jobs within an 8-tier employment classification scheme
Integer
4
0
0
E8_Ed
Education jobs within an 8-tier employment classification scheme
Integer
4
0
0
E8_Hlth
Health care jobs within an 8-tier employment classification scheme
Integer
4
0
0
E8_Pub
Public administration jobs within an 8-tier employment classification scheme
Integer
4
0
0
E_LowWageWk
Number of workers earning $1250/month or less (work location), 2017
Integer
4
0
0
E_MedWageWk
Number of workers earning more than $1250/month but less than $3333/month (work location), 2017
Integer
4
0
0
E_HiWageWk
Numberof workers earning $3333/month or more (work location), 2017
Integer
4
0
0
E_PctLowWage
Percent LowWageWk of total #workers in a CBG (work location), 2017
Double
8
0
0
D1A
Gross residential density (HU/acre) on unprotected land
Double
8
0
0
D1B
Gross population density (people/acre) on unprotected land
Double
8
0
0
D1C
Gross employment density (jobs/acre) on unprotected land
Double
8
0
0
D1C5_RET
Gross retail (5-tier) employment density (jobs/acre) on unprotected land
Double
8
0
0
D1C5_OFF
Gross office (5-tier) employment density (jobs/acre) on unprotected land
Double
8
0
0
D1C5_IND
Gross industrial (5-tier) employment density (jobs/acre) on unprotected land
Double
8
0
0
D1C5_SVC
Gross service (5-tier) employment density (jobs/acre) on unprotected land
Double
8
0
0
D1C5_ENT
Gross entertainment (5-tier) employment density (jobs/acre) on unprotected land
Double
8
0
0
D1C8_RET
Gross retail (8-tier) employment density (jobs/acre) on unprotected land
Double
8
0
0
D1C8_OFF
Gross office (8-tier) employment density (jobs/acre) on unprotected land
Double
8
0
0
D1C8_IND
Gross industrial (8-tier) employment density (jobs/acre) on unprotected land
Double
8
0
0
D1C8_SVC
Gross service (8-tier) employment density (jobs/acre) on unprotected land
Double
8
0
0
D1C8_ENT
Gross entertainment (8-tier) employment density (jobs/acre) on unprotected land
Double
8
0
0
D1C8_ED
Gross education(8-tier) employment density (jobs/acre) on unprotected land
Double
8
0
0
D1C8_HLTH
Gross health care (8-tier) employment density (jobs/acre) on unprotected land
Double
8
0
0
D1C8_PUB
Gross retail (8-tier) employment density (jobs/acre) on unprotected land
Double
8
0
0
D1D
Gross activity density (employment + HUs) on unprotected land
Double
8
0
0
D1_FLAG
Flag indicating that density metrics are based on total CBG land acreage rather than unprotected acreage
Double
8
0
0
D2A_JPHH
Jobs per household
Double
8
0
0
D2B_E5MIX
5-tier employment entropy (denominator set to observed employment types in the CBG)
Double
8
0
0
D2B_E5MIXA
5-tier employment entropy (denominator set to the static 5 employment types in the CBG)
Double
8
0
0
D2B_E8MIX
8-tier employment entropy (denominator set to observed employment types in the CBG)
Double
8
0
0
D2B_E8MIXA
8-tier employment entropy (denominator set to the static 8 employment types in the CBG)
Double
8
0
0
D2A_EPHHM
Employment and household entropy
Double
8
0
0
D2C_TRPMX1
Employment and Household entropy (based on vehicle trip production and trip attractions including all 5 employment categories)
Double
8
0
0
D2C_TRPMX2
Employment and Household Entropy calculations, based on trips production and trip attractions including 4 of the 5 employment categories (excluding industrial)
Double
8
0
0
D2C_TRIPEQ
Trip productions and trip attractions equilibrium index; the closer to one, the more balanced the trip making
Double
8
0
0
D2R_JOBPOP
Regional Diversity. Standard calculation based on population and total employment: Deviation of CBG ratio of jobs/pop from the regional average ratio of jobs/pop
Double
8
0
0
D2R_WRKEMP
Household Workers per Job, as compared to the region: Deviation of CBG ratio of household workers/job from regional average ratio of household workers/job
Double
8
0
0
D2A_WRKEMP
Household Workers per Job, by CBG
Double
8
0
0
D2C_WREMLX
Household Workers per Job Equilibrium Index; the closer to one the more balanced the resident workers and jobs in the CBG.
Double
8
0
0
D3A
Total road network density
Double
8
0
0
D3AAO
Network density in terms of facility miles of auto-oriented links per square mile
Double
8
0
0
D3AMM
Network density in terms of facility miles of multi-modal links per square mile
Double
8
0
0
D3APO
Network density in terms of facility miles of pedestrian-oriented links per square mile
Double
8
0
0
D3B
Street intersection density (weighted, auto-oriented intersections eliminated)
Double
8
0
0
D3BAO
Intersection density in terms of auto-oriented intersections per square mile
Double
8
0
0
D3BMM3
Intersection density in terms of multi-modal intersections having three legs per square mile
Double
8
0
0
D3BMM4
Intersection density in terms of multi-modal intersections having four or more legs per square mile
Double
8
0
0
D3BPO3
Intersection density in terms of pedestrian-oriented intersections having three legs per square mile
Double
8
0
0
D3BPO4
Intersection density in terms of pedestrian-oriented intersections having four or more legs per square mile
Double
8
0
0
D4A
Distance from the population-weighted centroid to nearest transit stop (meters)
Double
8
0
0
D4B025
Proportion of CBG employment within ¼ mile of fixed-guideway transit stop
Double
8
0
0
D4B050
Proportion of CBG employment within ½ mile of fixed-guideway transit stop
Double
8
0
0
D4C
Aggregate frequency of transit service within 0.25 miles of CBG boundary per hour during evening peak period
Double
8
0
0
D4D
Aggregate frequency of transit service [D4c] per square mile
Double
8
0
0
D4E
Aggregate frequency of transit service [D4c] per capita
Double
8
0
0
D5AR
Jobs within 45 minutes auto travel time, time- decay (network travel time) weighted
Double
8
0
0
D5AE
Working age population within 45 minutes auto travel time, time-decay (network travel time) weighted
Double
8
0
0
D5BR
Jobs within 45-minute transit commute, distance decay (walk network travel time, GTFS schedules) weighted
Double
8
0
0
D5BE
Working age population within 45-minute transit commute, time decay (walk network travel time, GTFS schedules) weighted
Double
8
0
0
D5CR
Proportional Accessibility to Regional Destinations - Auto: Employment accessibility expressed as a ratio of total CBSA accessibility
Double
8
0
0
D5CRI
Regional Centrality Index – Auto: CBG [D5cr] score relative to max CBSA [D5cr] score
Double
8
0
0
D5CE
Proportional Accessibility to Regional Destinations - Auto: Working age population accessibility expressed as a ratio of total CBSA accessibility
Double
8
0
0
D5CEI
Regional Centrality Index – Auto: CBG [D5ce] score relative to max CBSA [D5ce] score
Double
8
0
0
D5DR
Proportional Accessibility of Regional Destinations - Transit: Employment accessibility expressed as a ratio of total MSA accessibility
Double
8
0
0
D5DRI
Regional Centrality Index – Transit: CBG [D5dr] score relative to max CBSA [D5dr] score
Double
8
0
0
D5DE
Proportional Accessibility of Regional Destinations - Transit: Working age population accessibility expressed as a ratio of total MSA accessibility
Double
8
0
0
D5DEI
Regional Centrality Index – Transit: CBG [D5de] score relative to max CBSA [D5de] score
Double
8
0
0
D2A_Ranked
Quantile ranked order (1-20) of [D2a_EpHHm] from lowest to highest
Double
8
0
0
D2B_Ranked
Quantile ranked order (1-20) of [D2b_E8MixA] from lowest to highest
Double
8
0
0
D3B_Ranked
Quantile ranked order (1-20) of [D3b] from lowest to highest
Double
8
0
0
D4A_Ranked
Quantile ranked order (1,13-20) of [D4a] from lowest to highest
Double
8
0
0
NatWalkInd
Walkability Index
Double
8
0
0
Region
Region used to normalize vehicle miles traveled
String
8000
0
0
Households
Number of households
Integer
4
0
0
Workers_1
Number of workers
Integer
4
0
0
Residents
Number of residents
Integer
4
0
0
Drivers
Number of drivers
Double
8
0
0
Vehicles
Number of vehicles available
Integer
4
0
0
White
Number of white residents
Integer
4
0
0
Male
Number of male residents
Integer
4
0
0
Lowwage
Number of of low wage residents
Integer
4
0
0
Medwage
Number of medium wage residents
Integer
4
0
0
Highwage
Number of high wage residents
Integer
4
0
0
W_P_Lowwage
Percent low wage workers (workplace)
Double
8
0
0
W_P_Medwage
Percent medium wage workers (workplace)
Double
8
0
0
W_P_Highwage
Percent of high wage workers (workplace)
Double
8
0
0
GasPrice
2020 statewide average gas price (cents)
Integer
4
0
0
logd1a
Log of D1a (residential density)
Double
8
0
0
logd1c
Log of D1c (employment density)
Double
8
0
0
logd3aao
Log of D3aao (auto network density)
Double
8
0
0
logd3apo
Log of D3apo (pedestrian network density)
Double
8
0
0
d4bo25
D4b025 (1/4 mile job accessibility to fixed guideway transit)
Integer
4
0
0
d5dei_1
D5dei (Regional centrality index - transit)
Integer
4
0
0
logd4d
Log of D4d (frequency of transit service)
Integer
4
0
0
UPTpercap
Unlinked passenger trips per capita for the CBSA
Integer
4
0
0
B_C_constant
Constant Beta value, commute VMT model
Double
8
0
0
B_C_male
Male Beta value, commute VMT model
Double
8
0
0
B_C_ld1c
Logd1c Beta value, commute VMT model
Double
8
0
0
B_C_drvmveh
Drivers minus vehicles Beta value, commute VMT model
Double
8
0
0
B_C_ld1a
Logd1a Beta value, commute VMT model
Double
8
0
0
B_C_ld3apo
Logd3apo Beta value, commute VMT model
Double
8
0
0
B_C_inc1
Low wage Beta value, commute VMT model
Double
8
0
0
B_C_gasp
Fuel price Beta value, commute VMT model
Double
8
0
0
B_N_constant
Constant Beta value, non-commute VMT model
Double
8
0
0
B_N_inc2
Medium wage Beta value, non-commute VMT model
Double
8
0
0
B_N_inc3
High wage Beta value, non-commute VMT model
Double
8
0
0
B_N_white
White Beta value, non-commute VMT model
Double
8
0
0
B_N_male
Male Beta value, non-commute VMT model
Double
8
0
0
B_N_drvmveh
Drivers minus vehicles Beta value, non-commute VMT model
Double
8
0
0
B_N_gasp
Fuel price Beta value, non-commute VMT model
Double
8
0
0
B_N_ld1a
Logd1a Beta value, non-commute VMT model
Double
8
0
0
B_N_ld1c
Logd1c Beta value, non-commute VMT model
Double
8
0
0
B_N_ld3aao
Logd3aao Beta value, non-commute VMT model
Double
8
0
0
B_N_ld3apo
Logd3apo Beta value, non-commute VMT model
Double
8
0
0
B_N_d4bo25
D4b025 Beta value, non-commute VMT model
Double
8
0
0
B_N_d5dei
D5dei Beta value, non-commute VMT model
Double
8
0
0
B_N_UPTpc
UPTC Beta value, non-commute VMT model
Double
8
0
0
C_R_Households
# of households in the county
Integer
4
0
0
C_R_Pop
# of residents in the county
Integer
4
0
0
C_R_Workers
# of workers living in the county
Integer
4
0
0
C_R_Drivers
# of drivers in the county
Double
8
0
0
C_R_Vehicles
# of vehicles available in the county
Integer
4
0
0
C_R_White
Percent white in the county
Double
8
0
0
C_R_Male
Percent male in the county
Double
8
0
0
C_R_Lowwage
Percent low wage workers living in the county
Double
8
0
0
C_R_Medwage
Percent medium wage workers living in the county
Double
8
0
0
C_R_Highwage
Percent high wage workers living in the county
Double
8
0
0
C_R_DrmV
Household drivers minus vehicles available, county average
Double
8
0
0
NonCom_VMT_Per_Worker
Mean non-commute VMT per worker (by workplace )
Double
8
0
0
Com_VMT_Per_Worker
Mean commute VMT per worker (by workplace )
Double
8
0
0
VMT_per_worker
Mean total work-related VMT per worker (by workplace )
Double
8
0
0
VMT_tot_min
Minimum average daily VMT per worker per worker among all block groups within the same county
Double
8
0
0
VMT_tot_max
Maximum average daily VMT per worker among all block groups within the same county
Double
8
0
0
VMT_tot_avg
Weighted average daily VMT per worker among all block groups within the same county
Double
8
0
0
GHG_per_worker
Estimated average daily GHG generated by a worker in a workplace block group
Double
8
0
0
Annual_GHG
Annual_GHGTotal estimated annual GHG generated by a worker (over 260 days) within a block group
Double
8
0
0
SLC_score
SLC_score
Double
8
0
0
Shape_Length
Shape_Length
Double
8
0
0
Length of feature in internal units.
Esri
Positive real numbers that are automatically generated.
Shape_Area
Shape_Area
Double
8
0
0
Area of feature in internal units squared.
Esri
Positive real numbers that are automatically generated.
20240327
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