N_HLTH
(
type: esriFieldTypeInteger, alias: Health Disadvantaged
)
SN_C
(
type: esriFieldTypeInteger, alias: Identified as disadvantaged
)
SN_T
(
type: esriFieldTypeString, alias: Identified as disadvantaged due to tribal overlap, length: 80
)
DLI
(
type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for diabetes, is low income, and has a low percent of higher ed students?
)
ALI
(
type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for asthma, is low income, and has a low percent of higher ed students?
)
PLHSE
(
type: esriFieldTypeInteger, alias: 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?
)
LMILHSE
(
type: esriFieldTypeInteger, alias: 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?
)
ULHSE
(
type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for unemployment, has low HS attainment, and has a low percent of higher ed students?
)
EPL_ET
(
type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for expected population loss
)
EAL_ET
(
type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for expected agricultural loss
)
EBL_ET
(
type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for expected building loss
)
EB_ET
(
type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for energy burden
)
PM25_ET
(
type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for PM 2.5 exposure
)
DS_ET
(
type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for diesel particulate matter
)
TP_ET
(
type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for traffic proximity
)
LPP_ET
(
type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for lead paint and the median house value is less than 90th percentile
)
KP_ET
(
type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for share of homes without indoor plumbing or a kitchen
)
HB_ET
(
type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for housing burden
)
RMP_ET
(
type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for Risk Management Plan (RMP) proximity
)
NPL_ET
(
type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for NPL (superfund sites) proximity
)
TSDF_ET
(
type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for proximity to hazardous waste sites
)
WD_ET
(
type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for wastewater discharge
)
UST_ET
(
type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for leaky underwater storage tanks
)
DB_ET
(
type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for diabetes
)
A_ET
(
type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for asthma
)
HD_ET
(
type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for heart disease
)
LLE_ET
(
type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for low life expectancy
)
UN_ET
(
type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for unemployment
)
LISO_ET
(
type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for households in linguistic isolation
)
POV_ET
(
type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for households at or below 100% federal poverty level
)
LMI_ET
(
type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for low median household income as a percent of area median income
)
IA_LMI_ET
(
type: esriFieldTypeInteger, alias: Low median household income as a percent of territory median income in 2009 exceeds 90th percentile
)
IA_POV_ET
(
type: esriFieldTypeInteger, alias: Percentage households below 100% of federal poverty line in 2009 exceeds 90th percentile
)
TC
(
type: esriFieldTypeDouble, alias: Total threshold criteria exceeded
)
CC
(
type: esriFieldTypeDouble, alias: Total categories exceeded
)
IAULHSE
(
type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for unemployment and has low HS education in 2009 (island areas)?
)
IAPLHSE
(
type: esriFieldTypeInteger, alias: 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)?
)
IALMILHSE
(
type: esriFieldTypeInteger, alias: 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)?
)
IALMIL_76
(
type: esriFieldTypeDouble, alias: Low median household income as a percent of territory median income in 2009 (percentile)
)
IAPLHS_77
(
type: esriFieldTypeDouble, alias: Percentage households below 100% of federal poverty line in 2009 for island areas (percentile)
)
IAULHS_78
(
type: esriFieldTypeDouble, alias: Unemployment (percent) in 2009 for island areas (percentile)
)
LHE
(
type: esriFieldTypeInteger, alias: Low high school education and low percent of higher ed students
)
IALHE
(
type: esriFieldTypeInteger, alias: Low high school education in 2009 (island areas)
)
IAHSEF
(
type: esriFieldTypeDouble, alias: Percent individuals age 25 or over with less than high school degree in 2009
)
N_CLT_EOMI
(
type: esriFieldTypeInteger, alias: At least one climate threshold exceeded
)
N_ENY_EOMI
(
type: esriFieldTypeInteger, alias: At least one energy threshold exceeded
)
N_TRN_EOMI
(
type: esriFieldTypeInteger, alias: At least one traffic threshold exceeded
)
N_HSG_EOMI
(
type: esriFieldTypeInteger, alias: At least one housing threshold exceeded
)
N_PLN_EOMI
(
type: esriFieldTypeInteger, alias: At least one pollution threshold exceeded
)
N_WTR_EOMI
(
type: esriFieldTypeInteger, alias: At least one water threshold exceeded
)
N_HLTH_88
(
type: esriFieldTypeInteger, alias: At least one health threshold exceeded
)
N_WKFC_89
(
type: esriFieldTypeInteger, alias: At least one workforce threshold exceeded
)
FLD_PFS
(
type: esriFieldTypeDouble, alias: Share of properties at risk of flood in 30 years (percentile)
)
WFR_PFS
(
type: esriFieldTypeDouble, alias: Share of properties at risk of fire in 30 years (percentile)
)
FLD_ET
(
type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for share of properties at risk of flood in 30 years
)
WFR_ET
(
type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for share of properties at risk of fire in 30 years
)
ADJ_ET
(
type: esriFieldTypeInteger, alias: Is the tract surrounded by disadvantaged communities?
)
IS_PFS
(
type: esriFieldTypeDouble, alias: Share of the tract's land area that is covered by impervious surface or cropland as a percent (percentile)
)
IS_ET
(
type: esriFieldTypeInteger, alias: 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?
)
AML_ET
(
type: esriFieldTypeInteger, alias: Is there at least one abandoned mine in this census tract, where missing data is treated as False?
)
FUDS_RAW
(
type: esriFieldTypeString, alias: Is there at least one Formerly Used Defense Site (FUDS) in the tract?, length: 80
)
FUDS_ET
(
type: esriFieldTypeInteger, alias: Is there at least one Formerly Used Defense Site (FUDS) in the tract, where missing data is treated as False?
)
IMP_FLG
(
type: esriFieldTypeString, alias: Income data has been estimated (imputed) based on neighbor income, length: 80
)
DM_B
(
type: esriFieldTypeDouble, alias: Percent Black or African American
)
DM_AI
(
type: esriFieldTypeDouble, alias: Percent American Indian / Alaska Native
)
DM_A
(
type: esriFieldTypeDouble, alias: Percent Asian
)
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>U.S. Census Tract Boundaries represents the 2020 U.S. Census tracts of the United States in the 50 states and the District of Columbia. Tracts are polygons containing population totals from the 2020 Census.</SPAN></P></DIV></DIV></DIV>