Esri ArcGIS 12.9.2.32739
EJSCREEN_NEIL
EPA
air quality
USEPA
CMAP
Subset of data from the US EPA EJScreen project confined to the CMAP area and adjacent census tracts.
EJSCREEN_NEIL
002
Projected
GCS_WGS_1984
Linear Unit: Meter (1.000000)
WGS_1984_Web_Mercator_Auxiliary_Sphere
<ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/2.9.0'><WKT>PROJCS["WGS_1984_Web_Mercator_Auxiliary_Sphere",GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Mercator_Auxiliary_Sphere"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",0.0],PARAMETER["Standard_Parallel_1",0.0],PARAMETER["Auxiliary_Sphere_Type",0.0],UNIT["Meter",1.0],AUTHORITY["EPSG",3857]]</WKT><XOrigin>-20037700</XOrigin><YOrigin>-30241100</YOrigin><XYScale>10000</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102100</WKID><LatestWKID>3857</LatestWKID></ProjectedCoordinateSystem>
20220429
11400500
20220429
11400500
File Geodatabase Feature Class
dataset
EPSG
6.18.3(9.3.1.2)
0
Simple
FALSE
0
TRUE
FALSE
EJSCREEN_NEIL
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.
ID
ID
String
11
0
0
ACSTOTPOP
ACSTOTPOP
Integer
4
0
0
ACSIPOVBAS
ACSIPOVBAS
Integer
4
0
0
ACSEDUCBAS
ACSEDUCBAS
Integer
4
0
0
ACSTOTHH
ACSTOTHH
Integer
4
0
0
ACSTOTHU
ACSTOTHU
Integer
4
0
0
ACSUNEMPBAS
ACSUNEMPBAS
Integer
4
0
0
MINORPOP
MINORPOP
Integer
4
0
0
MINORPCT
MINORPCT
Double
8
0
0
LOWINCOME
LOWINCOME
Integer
4
0
0
LOWINCPCT
LOWINCPCT
Double
8
0
0
LESSHS
LESSHS
Integer
4
0
0
LESSHSPCT
LESSHSPCT
Double
8
0
0
LINGISO
LINGISO
Integer
4
0
0
LINGISOPCT
LINGISOPCT
Double
8
0
0
UNDER5
UNDER5
Integer
4
0
0
UNDER5PCT
UNDER5PCT
Double
8
0
0
OVER64
OVER64
Integer
4
0
0
OVER64PCT
OVER64PCT
Double
8
0
0
UNEMP
UNEMP
Integer
4
0
0
UNEMPPCT
UNEMPPCT
Double
8
0
0
PRE1960
PRE1960
Integer
4
0
0
PRE1960PCT
PRE1960PCT
Double
8
0
0
VULEOPCT
VULEOPCT
Double
8
0
0
VULSVI6PCT
VULSVI6PCT
Double
8
0
0
VULEO
VULEO
Double
8
0
0
VULSVI6
VULSVI6
Double
8
0
0
DISPEO
DISPEO
Double
8
0
0
DISPSVI6
DISPSVI6
Double
8
0
0
DSLPM
DSLPM
Double
8
0
0
CANCER
CANCER
Double
8
0
0
RESP
RESP
Double
8
0
0
PTRAF
PTRAF
Double
8
0
0
PWDIS
PWDIS
Double
8
0
0
PNPL
PNPL
Double
8
0
0
PRMP
PRMP
Double
8
0
0
PTSDF
PTSDF
Double
8
0
0
OZONE
OZONE
Double
8
0
0
PM25
PM25
Double
8
0
0
UST
UST
Double
8
0
0
D_LDPNT_2
D_LDPNT_2
Double
8
0
0
D_DSLPM_2
D_DSLPM_2
Double
8
0
0
D_CANCR_2
D_CANCR_2
Double
8
0
0
D_RESP_2
D_RESP_2
Double
8
0
0
D_PTRAF_2
D_PTRAF_2
Double
8
0
0
D_PWDIS_2
D_PWDIS_2
Double
8
0
0
D_PNPL_2
D_PNPL_2
Double
8
0
0
D_PRMP_2
D_PRMP_2
Double
8
0
0
D_PTSDF_2
D_PTSDF_2
Double
8
0
0
D_OZONE_2
D_OZONE_2
Double
8
0
0
D_PM25_2
D_PM25_2
Double
8
0
0
D_UST_2
D_UST_2
Double
8
0
0
STATE_NAME
STATE_NAME
String
20
0
0
ST_ABBREV
ST_ABBREV
String
2
0
0
REGION
REGION
SmallInteger
2
0
0
P_MINORPCT
P_MINORPCT
Double
8
0
0
P_LWINCPCT
P_LWINCPCT
Double
8
0
0
P_LESHSPCT
P_LESHSPCT
Double
8
0
0
P_LNGISPCT
P_LNGISPCT
Double
8
0
0
P_UNDR5PCT
P_UNDR5PCT
Double
8
0
0
P_OVR64PCT
P_OVR64PCT
Double
8
0
0
P_UNEMP
P_UNEMP
Double
8
0
0
P_UNEMPPCT
P_UNEMPPCT
Double
8
0
0
P_LDPNT
P_LDPNT
Double
8
0
0
P_VULEOPCT
P_VULEOPCT
Double
8
0
0
P_VULSVI6PCT
P_VULSVI6PCT
Double
8
0
0
P_VULSVI6
P_VULSVI6
Double
8
0
0
P_DISPSVI6
P_DISPSVI6
Double
8
0
0
P_DSLPM
P_DSLPM
Double
8
0
0
P_CANCR
P_CANCR
Double
8
0
0
P_RESP
P_RESP
Double
8
0
0
P_PTRAF
P_PTRAF
Double
8
0
0
P_PWDIS
P_PWDIS
Double
8
0
0
P_PNPL
P_PNPL
Double
8
0
0
P_PRMP
P_PRMP
Double
8
0
0
P_PTSDF
P_PTSDF
Double
8
0
0
P_OZONE
P_OZONE
Double
8
0
0
P_PM25
P_PM25
Double
8
0
0
P_UST
P_UST
Double
8
0
0
P_LDPNT_D2
P_D_LDPNT_2
Double
8
0
0
P_DSLPM_D2
P_D_DSLPM_2
Double
8
0
0
P_CANCR_D2
P_D_CANCR_2
Double
8
0
0
P_RESP_D2
P_D_RESP_2
Double
8
0
0
P_PTRAF_D2
P_D_PTRAF_2
Double
8
0
0
P_PWDIS_D2
P_D_PWDIS_2
Double
8
0
0
P_PNPL_D2
P_D_PNPL_2
Double
8
0
0
P_PRMP_D2
P_D_PRMP_2
Double
8
0
0
P_PTSDF_D2
P_D_PTSDF_2
Double
8
0
0
P_OZONE_D2
P_D_OZONE_2
Double
8
0
0
P_PM25_D2
P_D_PM25_2
Double
8
0
0
P_UST_D2
P_D_UST_2
Double
8
0
0
B_MINORPCT
B_MINORPCT
Integer
4
0
0
B_LWINCPCT
B_LWINCPCT
Integer
4
0
0
B_LESHSPCT
B_LESHSPCT
Integer
4
0
0
B_LNGISPCT
B_LNGISPCT
Integer
4
0
0
B_UNDR5PCT
B_UNDR5PCT
Integer
4
0
0
B_OVR64PCT
B_OVR64PCT
Integer
4
0
0
B_UNEMP
B_UNEMP
Integer
4
0
0
B_UNEMPPCT
B_UNEMPPCT
Integer
4
0
0
B_LDPNT
B_LDPNT
Integer
4
0
0
B_VULEOPCT
B_VULEOPCT
Integer
4
0
0
B_VULSVI6PCT
B_VULSVI6PCT
Integer
4
0
0
B_VULSVI6
B_VULSVI6
Integer
4
0
0
B_DISPSVI6
B_DISPSVI6
Integer
4
0
0
B_DSLPM
B_DSLPM
Integer
4
0
0
B_CANCR
B_CANCR
Integer
4
0
0
B_RESP
B_RESP
Integer
4
0
0
B_PTRAF
B_PTRAF
Integer
4
0
0
B_PWDIS
B_PWDIS
Integer
4
0
0
B_PNPL
B_PNPL
Integer
4
0
0
B_PRMP
B_PRMP
Integer
4
0
0
B_PTSDF
B_PTSDF
Integer
4
0
0
B_OZONE
B_OZONE
Integer
4
0
0
B_PM25
B_PM25
Integer
4
0
0
B_UST
B_UST
Integer
4
0
0
B_LDPNT_D2
B_D_LDPNT_2
Integer
4
0
0
B_DSLPM_D2
B_D_DSLPM_2
Integer
4
0
0
B_CANCR_D2
B_D_CANCR_2
Integer
4
0
0
B_RESP_D2
B_D_RESP_2
Integer
4
0
0
B_PTRAF_D2
B_D_PTRAF_2
Integer
4
0
0
B_PWDIS_D2
B_D_PWDIS_2
Integer
4
0
0
B_PNPL_D2
B_D_PNPL_2
Integer
4
0
0
B_PRMP_D2
B_D_PRMP_2
Integer
4
0
0
B_PTSDF_D2
B_D_PTSDF_2
Integer
4
0
0
B_OZONE_D2
B_D_OZONE_2
Integer
4
0
0
B_PM25_D2
B_D_PM25_2
Integer
4
0
0
B_UST_D2
B_D_UST_2
Integer
4
0
0
T_MINORPCT
People of Color
String
20
0
0
T_LWINCPCT
Low Income
String
20
0
0
T_LESHSPCT
Less Than High School Education
String
20
0
0
T_LNGISPCT
Linguistically Isolated
String
20
0
0
T_UNDR5PCT
Under Age 5
String
20
0
0
T_OVR64PCT
Over Age 64
String
20
0
0
T_UNEMPPCT
Unemployment Rate
String
20
0
0
T_VULEOPCT
Demographic Index
String
20
0
0
T_LDPNT
Lead Paint
String
70
0
0
T_LDPNT_D2
EJ Index: Lead Paint Indicator
String
10
0
0
T_DSLPM
Diesel Particulate Matter
String
70
0
0
T_DSLPM_D2
EJ Index: Diesel Particulate Matter
String
10
0
0
T_CANCR
Air Toxics Cancer Risk
String
70
0
0
T_CANCR_D2
EJ Index: Air Toxics Cancer Risk
String
10
0
0
T_RESP
Air Toxics Respiratory HI
String
70
0
0
T_RESP_D2
EJ Index: Air Toxics Respiratory HI
String
10
0
0
T_PTRAF
Traffic Proximity
String
70
0
0
T_PTRAF_D2
EJ Index: Traffic Proximity
String
10
0
0
T_PWDIS
Wastewater Discharge
String
70
0
0
T_PWDIS_D2
EJ Index: Wastewater Discharge
String
10
0
0
T_PNPL
Superfund Proximity
String
70
0
0
T_PNPL_D2
EJ Index: Superfund Proximity
String
10
0
0
T_PRMP
RMP Facility Proximity
String
70
0
0
T_PRMP_D2
EJ Index: RMP Facility Proximity
String
10
0
0
T_PTSDF
Hazardous Waste Proximity
String
70
0
0
T_PTSDF_D2
EJ Index: Hazardous Waste Proximity
String
10
0
0
T_OZONE
Ozone
String
70
0
0
T_OZONE_D2
EJ Index: Ozone
String
10
0
0
T_PM25
Particulate Matter 2.5
String
70
0
0
T_PM25_D2
EJ Index: Particulate Matter 2.5
String
10
0
0
T_UST
Underground Storage Tank
String
70
0
0
T_UST_D2
EJ Index: Underground Storage Tank
String
10
0
0
AREALAND
AREALAND
Double
8
0
0
AREAWATER
AREAWATER
Double
8
0
0
NPL_CNT
NPL_CNT
SmallInteger
2
0
0
TSDF_CNT
TSDF_CNT
SmallInteger
2
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.
20220429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