20250122
16171600
1.0
FALSE
CRCOG_EJ_Areas_Justice_40_Census_Tracts
002
Projected
GCS_North_American_1983
Linear Unit: Foot_US (0.304801)
NAD_1983_StatePlane_Connecticut_FIPS_0600_Feet
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20250122
16220700
20250122
16220700
Esri ArcGIS 13.4.0.55405
CRCOG_EJ_Areas_Justice_40_Census_Tracts
Enterprise Geodatabase Feature Class
dataset
EPSG
5.3(9.0.0)
0
Simple
FALSE
0
TRUE
FALSE
CRCOG_EJ_Areas_Justice_40_Census_Tracts
Feature Class
0
OBJECTID
ObjectID
OID
4
10
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
Shape
Shape
Geometry
8
0
0
Feature geometry.
Esri
Coordinates defining the features.
GEOID10
2010 FIPS Code
String
80
0
0
SF
State/Territory
String
80
0
0
CF
County Name
String
80
0
0
DF_PFS
Diagnosed diabetes among adults aged greater than or equal to 18 years (percentile)
Double
8
38
8
AF_PFS
Current asthma among adults aged greater than or equal to 18 years (percentile)
Double
8
38
8
HDF_PFS
Coronary heart disease among adults aged greater than or equal to 18 years (percentile)
Double
8
38
8
DSF_PFS
Diesel particulate matter exposure (percentile)
Double
8
38
8
EBF_PFS
Energy burden (percentile)
Double
8
38
8
EALR_PFS
Expected agricultural loss rate (Natural Hazards Risk Index) (percentile)
Double
8
38
8
EBLR_PFS
Expected building loss rate (Natural Hazards Risk Index) (percentile)
Double
8
38
8
EPLR_PFS
Expected population loss rate (Natural Hazards Risk Index) (percentile)
Double
8
38
8
HBF_PFS
Housing burden (percent) (percentile)
Double
8
38
8
LLEF_PFS
Low life expectancy (percentile)
Double
8
38
8
LIF_PFS
Linguistic isolation (percent) (percentile)
Double
8
38
8
LMI_PFS
Low median household income as a percent of area median income (percentile)
Double
8
38
8
PM25F_PFS
PM2.5 in the air (percentile)
Double
8
38
8
HSEF
Percent individuals age 25 or over with less than high school degree
Double
8
38
8
P100_PFS
Percent of individuals < 100% Federal Poverty Line (percentile)
Double
8
38
8
P200_I_PFS
Percent of individuals below 200% Federal Poverty Line (percentile)
Double
8
38
8
AJDLI_ET
Meets the less stringent low income criterion for the adjacency index?
Integer
4
10
0
LPF_PFS
Percent pre-1960s housing (lead paint indicator) (percentile)
Double
8
38
8
KP_PFS
Share of homes with no kitchen or indoor plumbing (percent) (percentile)
Double
8
38
8
NPL_PFS
Proximity to NPL sites (percentile)
Double
8
38
8
RMP_PFS
Proximity to Risk Management Plan (RMP) facilities (percentile)
Double
8
38
8
TSDF_PFS
Proximity to hazardous waste sites (percentile)
Double
8
38
8
TPF
Total population
Double
8
38
8
TF_PFS
Traffic proximity and volume (percentile)
Double
8
38
8
UF_PFS
Unemployment (percent) (percentile)
Double
8
38
8
WF_PFS
Wastewater discharge (percentile)
Double
8
38
8
UST_PFS
Leaky underground storage tanks (percentile)
Double
8
38
8
N_WTR
Water and Wastewater Disadvantaged
Integer
4
10
0
N_WKFC
Workforce Development Disadvantaged
Integer
4
10
0
N_CLT
Climate Change Disadvantaged
Integer
4
10
0
N_ENY
Energy Disadvantaged
Integer
4
10
0
N_TRN
Transportation Disadvantaged
Integer
4
10
0
N_HSG
Housing Disadvantaged
Integer
4
10
0
N_PLN
Legacy Pollution Disadvantaged
Integer
4
10
0
N_HLTH
Health Disadvantaged
Integer
4
10
0
SN_C
Identified as disadvantaged
Integer
4
10
0
SN_T
Identified as disadvantaged due to tribal overlap
String
80
0
0
DLI
Greater than or equal to the 90th percentile for diabetes, is low income, and has a low percent of higher ed students?
Integer
4
10
0
ALI
Greater than or equal to the 90th percentile for asthma, is low income, and has a low percent of higher ed students?
Integer
4
10
0
PLHSE
Greater than or equal to the 90th percentile for households at or below 100% federal poverty level, has low HS attainment, and has a low percent of higher ed students?
Integer
4
10
0
LMILHSE
Greater than or equal to the 90th percentile for low median household income as a percent of area median income, has low HS attainment, and has a low percent of higher ed students?
Integer
4
10
0
ULHSE
Greater than or equal to the 90th percentile for unemployment, has low HS attainment, and has a low percent of higher ed students?
Integer
4
10
0
EPL_ET
Greater than or equal to the 90th percentile for expected population loss
Integer
4
10
0
EAL_ET
Greater than or equal to the 90th percentile for expected agricultural loss
Integer
4
10
0
EBL_ET
Greater than or equal to the 90th percentile for expected building loss
Integer
4
10
0
EB_ET
Greater than or equal to the 90th percentile for energy burden
Integer
4
10
0
PM25_ET
Greater than or equal to the 90th percentile for PM 2.5 exposure
Integer
4
10
0
DS_ET
Greater than or equal to the 90th percentile for diesel particulate matter
Integer
4
10
0
TP_ET
Greater than or equal to the 90th percentile for traffic proximity
Integer
4
10
0
LPP_ET
Greater than or equal to the 90th percentile for lead paint and the median house value is less than 90th percentile
Integer
4
10
0
HRS_ET
Tract-level redlining score meets or exceeds 3.25
String
80
0
0
KP_ET
Greater than or equal to the 90th percentile for share of homes without indoor plumbing or a kitchen
Integer
4
10
0
HB_ET
Greater than or equal to the 90th percentile for housing burden
Integer
4
10
0
RMP_ET
Greater than or equal to the 90th percentile for Risk Management Plan (RMP) proximity
Integer
4
10
0
NPL_ET
Greater than or equal to the 90th percentile for NPL (superfund sites) proximity
Integer
4
10
0
TSDF_ET
Greater than or equal to the 90th percentile for proximity to hazardous waste sites
Integer
4
10
0
WD_ET
Greater than or equal to the 90th percentile for wastewater discharge
Integer
4
10
0
UST_ET
Greater than or equal to the 90th percentile for leaky underwater storage tanks
Integer
4
10
0
DB_ET
Greater than or equal to the 90th percentile for diabetes
Integer
4
10
0
A_ET
Greater than or equal to the 90th percentile for asthma
Integer
4
10
0
HD_ET
Greater than or equal to the 90th percentile for heart disease
Integer
4
10
0
LLE_ET
Greater than or equal to the 90th percentile for low life expectancy
Integer
4
10
0
UN_ET
Greater than or equal to the 90th percentile for unemployment
Integer
4
10
0
LISO_ET
Greater than or equal to the 90th percentile for households in linguistic isolation
Integer
4
10
0
POV_ET
Greater than or equal to the 90th percentile for households at or below 100% federal poverty level
Integer
4
10
0
LMI_ET
Greater than or equal to the 90th percentile for low median household income as a percent of area median income
Integer
4
10
0
IA_LMI_ET
Low median household income as a percent of territory median income in 2009 exceeds 90th percentile
Integer
4
10
0
IA_UN_ET
Unemployment (percent) in 2009 exceeds 90th percentile
Integer
4
10
0
IA_POV_ET
Percentage households below 100% of federal poverty line in 2009 exceeds 90th percentile
Integer
4
10
0
TC
Total threshold criteria exceeded
Double
8
38
8
CC
Total categories exceeded
Double
8
38
8
IAULHSE
Greater than or equal to the 90th percentile for unemployment and has low HS education in 2009 (island areas)?
Integer
4
10
0
IAPLHSE
Greater than or equal to the 90th percentile for households at or below 100% federal poverty level and has low HS education in 2009 (island areas)?
Integer
4
10
0
IALMILHSE
Greater than or equal to the 90th percentile for low median household income as a percent of area median income and has low HS education in 2009 (island areas)?
Integer
4
10
0
IALMIL_76
Low median household income as a percent of territory median income in 2009 (percentile)
Double
8
38
8
IAPLHS_77
Percentage households below 100% of federal poverty line in 2009 for island areas (percentile)
Double
8
38
8
IAULHS_78
Unemployment (percent) in 2009 for island areas (percentile)
Double
8
38
8
LHE
Low high school education and low percent of higher ed students
Integer
4
10
0
IALHE
Low high school education in 2009 (island areas)
Integer
4
10
0
IAHSEF
Percent individuals age 25 or over with less than high school degree in 2009
Double
8
38
8
N_CLT_EOMI
At least one climate threshold exceeded
Integer
4
10
0
N_ENY_EOMI
At least one energy threshold exceeded
Integer
4
10
0
N_TRN_EOMI
At least one traffic threshold exceeded
Integer
4
10
0
N_HSG_EOMI
At least one housing threshold exceeded
Integer
4
10
0
N_PLN_EOMI
At least one pollution threshold exceeded
Integer
4
10
0
N_WTR_EOMI
At least one water threshold exceeded
Integer
4
10
0
N_HLTH_88
At least one health threshold exceeded
Integer
4
10
0
N_WKFC_89
At least one workforce threshold exceeded
Integer
4
10
0
FPL200S
Exceeds Federal Poverty Level 200 threshold
Integer
4
10
0
N_WKFC_91
Both workforce socioeconomic indicators exceeded
Integer
4
10
0
TD_ET
Greater than or equal to the 90th percentile for DOT travel barriers
Integer
4
10
0
TD_PFS
DOT Travel Barriers Score (percentile)
Double
8
38
8
FLD_PFS
Share of properties at risk of flood in 30 years (percentile)
Double
8
38
8
WFR_PFS
Share of properties at risk of fire in 30 years (percentile)
Double
8
38
8
FLD_ET
Greater than or equal to the 90th percentile for share of properties at risk of flood in 30 years
Integer
4
10
0
WFR_ET
Greater than or equal to the 90th percentile for share of properties at risk of fire in 30 years
Integer
4
10
0
ADJ_ET
Is the tract surrounded by disadvantaged communities?
Integer
4
10
0
IS_PFS
Share of the tract's land area that is covered by impervious surface or cropland as a percent (percentile)
Double
8
38
8
IS_ET
Greater than or equal to the 90th percentile for share of the tract's land area that is covered by impervious surface or cropland as a percent and is low income?
Integer
4
10
0
AML_ET
Is there at least one abandoned mine in this census tract, where missing data is treated as False?
Integer
4
10
0
FUDS_RAW
Is there at least one Formerly Used Defense Site (FUDS) in the tract?
String
80
0
0
FUDS_ET
Is there at least one Formerly Used Defense Site (FUDS) in the tract, where missing data is treated as False?
Integer
4
10
0
IMP_FLG
Income data has been estimated (imputed) based on neighbor income
String
80
0
0
DM_B
Percent Black or African American
Double
8
38
8
DM_AI
Percent American Indian / Alaska Native
Double
8
38
8
DM_A
Percent Asian
Double
8
38
8
DM_HI
Percent Native Hawaiian or Pacific
Double
8
38
8
DM_T
Percent two or more races
Double
8
38
8
DM_W
Percent White
Double
8
38
8
DM_H
Percent Hispanic or Latino
Double
8
38
8
DM_O
Percent other races
Double
8
38
8
AGE_10
Percent age under 10
Double
8
38
8
AGE_MIDDLE
Percent age 10 to 64
Double
8
38
8
AGE_OLD
Percent age over 64
Double
8
38
8
TA_COU_116
Number of Tribal areas within Census tract for Alaska
Double
8
38
8
TA_COUNT_C
Number of Tribal areas within Census tract
Double
8
38
8
TA_PERC
Percent of the Census tract that is within Tribal areas
Double
8
38
8
TA_PERC_FE
Percent of the Census tract that is within Tribal areas, for display
Double
8
38
8
UI_EXP
Methodology type used
String
80
0
0
Join_Count
Join_Count
Integer
4
10
0
STATEFP
STATEFP
String
2
0
0
COUNTYFP
COUNTYFP
String
3
0
0
COUSUBFP
COUSUBFP
String
5
0
0
COUSUBNS
COUSUBNS
String
8
0
0
GEOID
GEOID
String
10
0
0
NAME
NAME
String
100
0
0
NAMELSAD
NAMELSAD
String
100
0
0
LSAD
LSAD
String
2
0
0
CLASSFP
CLASSFP
String
2
0
0
MTFCC
MTFCC
String
5
0
0
CNECTAFP
CNECTAFP
String
3
0
0
NECTAFP
NECTAFP
String
5
0
0
NCTADVFP
NCTADVFP
String
5
0
0
FUNCSTAT
FUNCSTAT
String
1
0
0
ALAND
ALAND
Double
8
38
8
AWATER
AWATER
Double
8
38
8
INTPTLAT
INTPTLAT
String
11
0
0
INTPTLON
INTPTLON
String
12
0
0
THRHLD
Total thresholds possible
Double
8
38
8
Shape.STArea()
Shape.STArea()
Double
0
0
0
Shape.STLength()
Shape.STLength()
Double
0
0
0
20250122