DF_PFS (type: esriFieldTypeDouble, alias: Diagnosed diabetes among adults aged greater than or equal to 18 years (percentile), SQL Type: sqlTypeOther, nullable: true, editable: true)
AF_PFS (type: esriFieldTypeDouble, alias: Current asthma among adults aged greater than or equal to 18 years (percentile), SQL Type: sqlTypeOther, nullable: true, editable: true)
HDF_PFS (type: esriFieldTypeDouble, alias: Coronary heart disease among adults aged greater than or equal to 18 years (percentile), SQL Type: sqlTypeOther, nullable: true, editable: true)
LMI_PFS (type: esriFieldTypeDouble, alias: Low median household income as a percent of area median income (percentile), SQL Type: sqlTypeOther, nullable: true, editable: true)
PM25F_PFS (type: esriFieldTypeDouble, alias: PM2.5 in the air (percentile), SQL Type: sqlTypeOther, nullable: true, editable: true)
HSEF (type: esriFieldTypeDouble, alias: Percent individuals age 25 or over with less than high school degree, SQL Type: sqlTypeOther, nullable: true, editable: true)
P100_PFS (type: esriFieldTypeDouble, alias: Percent of individuals < 100% Federal Poverty Line (percentile), SQL Type: sqlTypeOther, nullable: true, editable: true)
P200_I_PFS (type: esriFieldTypeDouble, alias: Percent of individuals below 200% Federal Poverty Line (percentile), SQL Type: sqlTypeOther, nullable: true, editable: true)
AJDLI_ET (type: esriFieldTypeInteger, alias: Meets the less stringent low income criterion for the adjacency index?, SQL Type: sqlTypeOther, nullable: true, editable: true)
KP_PFS (type: esriFieldTypeDouble, alias: Share of homes with no kitchen or indoor plumbing (percent) (percentile), SQL Type: sqlTypeOther, nullable: true, editable: true)
SN_T (type: esriFieldTypeString, alias: Identified as disadvantaged due to tribal overlap, SQL Type: sqlTypeOther, length: 80, nullable: true, editable: true)
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?, SQL Type: sqlTypeOther, nullable: true, editable: true)
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?, SQL Type: sqlTypeOther, nullable: true, editable: true)
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?, SQL Type: sqlTypeOther, nullable: true, editable: true)
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?, SQL Type: sqlTypeOther, nullable: true, editable: true)
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?, SQL Type: sqlTypeOther, nullable: true, editable: true)
EPL_ET (type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for expected population loss, SQL Type: sqlTypeOther, nullable: true, editable: true)
EAL_ET (type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for expected agricultural loss, SQL Type: sqlTypeOther, nullable: true, editable: true)
EBL_ET (type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for expected building loss, SQL Type: sqlTypeOther, nullable: true, editable: true)
EB_ET (type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for energy burden, SQL Type: sqlTypeOther, nullable: true, editable: true)
PM25_ET (type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for PM 2.5 exposure, SQL Type: sqlTypeOther, nullable: true, editable: true)
DS_ET (type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for diesel particulate matter, SQL Type: sqlTypeOther, nullable: true, editable: true)
TP_ET (type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for traffic proximity, SQL Type: sqlTypeOther, nullable: true, editable: true)
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, SQL Type: sqlTypeOther, nullable: true, editable: true)
KP_ET (type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for share of homes without indoor plumbing or a kitchen, SQL Type: sqlTypeOther, nullable: true, editable: true)
HB_ET (type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for housing burden, SQL Type: sqlTypeOther, nullable: true, editable: true)
RMP_ET (type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for Risk Management Plan (RMP) proximity, SQL Type: sqlTypeOther, nullable: true, editable: true)
NPL_ET (type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for NPL (superfund sites) proximity, SQL Type: sqlTypeOther, nullable: true, editable: true)
TSDF_ET (type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for proximity to hazardous waste sites, SQL Type: sqlTypeOther, nullable: true, editable: true)
WD_ET (type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for wastewater discharge, SQL Type: sqlTypeOther, nullable: true, editable: true)
UST_ET (type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for leaky underwater storage tanks, SQL Type: sqlTypeOther, nullable: true, editable: true)
DB_ET (type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for diabetes, SQL Type: sqlTypeOther, nullable: true, editable: true)
A_ET (type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for asthma, SQL Type: sqlTypeOther, nullable: true, editable: true)
HD_ET (type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for heart disease, SQL Type: sqlTypeOther, nullable: true, editable: true)
LLE_ET (type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for low life expectancy, SQL Type: sqlTypeOther, nullable: true, editable: true)
UN_ET (type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for unemployment, SQL Type: sqlTypeOther, nullable: true, editable: true)
LISO_ET (type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for households in linguistic isolation, SQL Type: sqlTypeOther, nullable: true, editable: true)
POV_ET (type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for households at or below 100% federal poverty level, SQL Type: sqlTypeOther, nullable: true, editable: true)
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, SQL Type: sqlTypeOther, nullable: true, editable: true)
IA_LMI_ET (type: esriFieldTypeInteger, alias: Low median household income as a percent of territory median income in 2009 exceeds 90th percentile, SQL Type: sqlTypeOther, nullable: true, editable: true)
CC (type: esriFieldTypeDouble, alias: Total categories exceeded, SQL Type: sqlTypeOther, nullable: true, editable: true)
IAULHSE (type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for unemployment and has low HS education in 2009 (island areas)?, SQL Type: sqlTypeOther, nullable: true, editable: true)
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)?, SQL Type: sqlTypeOther, nullable: true, editable: true)
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)?, SQL Type: sqlTypeOther, nullable: true, editable: true)
IALMIL_76 (type: esriFieldTypeDouble, alias: Low median household income as a percent of territory median income in 2009 (percentile), SQL Type: sqlTypeOther, nullable: true, editable: true)
IAPLHS_77 (type: esriFieldTypeDouble, alias: Percentage households below 100% of federal poverty line in 2009 for island areas (percentile), SQL Type: sqlTypeOther, nullable: true, editable: true)
IAULHS_78 (type: esriFieldTypeDouble, alias: Unemployment (percent) in 2009 for island areas (percentile), SQL Type: sqlTypeOther, nullable: true, editable: true)
LHE (type: esriFieldTypeInteger, alias: Low high school education and low percent of higher ed students, SQL Type: sqlTypeOther, nullable: true, editable: true)
IALHE (type: esriFieldTypeInteger, alias: Low high school education in 2009 (island areas), SQL Type: sqlTypeOther, nullable: true, editable: true)
IAHSEF (type: esriFieldTypeDouble, alias: Percent individuals age 25 or over with less than high school degree in 2009, SQL Type: sqlTypeOther, nullable: true, editable: true)
N_CLT_EOMI (type: esriFieldTypeInteger, alias: At least one climate threshold exceeded, SQL Type: sqlTypeOther, nullable: true, editable: true)
N_ENY_EOMI (type: esriFieldTypeInteger, alias: At least one energy threshold exceeded, SQL Type: sqlTypeOther, nullable: true, editable: true)
N_TRN_EOMI (type: esriFieldTypeInteger, alias: At least one traffic threshold exceeded, SQL Type: sqlTypeOther, nullable: true, editable: true)
N_HSG_EOMI (type: esriFieldTypeInteger, alias: At least one housing threshold exceeded, SQL Type: sqlTypeOther, nullable: true, editable: true)
N_PLN_EOMI (type: esriFieldTypeInteger, alias: At least one pollution threshold exceeded, SQL Type: sqlTypeOther, nullable: true, editable: true)
N_WTR_EOMI (type: esriFieldTypeInteger, alias: At least one water threshold exceeded, SQL Type: sqlTypeOther, nullable: true, editable: true)
N_HLTH_88 (type: esriFieldTypeInteger, alias: At least one health threshold exceeded, SQL Type: sqlTypeOther, nullable: true, editable: true)
N_WKFC_89 (type: esriFieldTypeInteger, alias: At least one workforce threshold exceeded, SQL Type: sqlTypeOther, nullable: true, editable: true)
TD_ET (type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for DOT travel barriers, SQL Type: sqlTypeOther, nullable: true, editable: true)
FLD_PFS (type: esriFieldTypeDouble, alias: Share of properties at risk of flood in 30 years (percentile), SQL Type: sqlTypeOther, nullable: true, editable: true)
WFR_PFS (type: esriFieldTypeDouble, alias: Share of properties at risk of fire in 30 years (percentile), SQL Type: sqlTypeOther, nullable: true, editable: true)
FLD_ET (type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for share of properties at risk of flood in 30 years, SQL Type: sqlTypeOther, nullable: true, editable: true)
WFR_ET (type: esriFieldTypeInteger, alias: Greater than or equal to the 90th percentile for share of properties at risk of fire in 30 years, SQL Type: sqlTypeOther, nullable: true, editable: true)
ADJ_ET (type: esriFieldTypeInteger, alias: Is the tract surrounded by disadvantaged communities?, SQL Type: sqlTypeOther, nullable: true, editable: true)
IS_PFS (type: esriFieldTypeDouble, alias: Share of the tract's land area that is covered by impervious surface or cropland as a percent (percentile), SQL Type: sqlTypeOther, nullable: true, editable: true)
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?, SQL Type: sqlTypeOther, nullable: true, editable: true)
AML_ET (type: esriFieldTypeInteger, alias: Is there at least one abandoned mine in this census tract, where missing data is treated as False?, SQL Type: sqlTypeOther, nullable: true, editable: true)
FUDS_RAW (type: esriFieldTypeString, alias: Is there at least one Formerly Used Defense Site (FUDS) in the tract?, SQL Type: sqlTypeOther, length: 80, nullable: true, editable: true)
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?, SQL Type: sqlTypeOther, nullable: true, editable: true)
IMP_FLG (type: esriFieldTypeString, alias: Income data has been estimated (imputed) based on neighbor income, SQL Type: sqlTypeOther, length: 80, nullable: true, editable: true)
DM_B (type: esriFieldTypeDouble, alias: Percent Black or African American, SQL Type: sqlTypeOther, nullable: true, editable: true)
DM_AI (type: esriFieldTypeDouble, alias: Percent American Indian / Alaska Native, SQL Type: sqlTypeOther, nullable: true, editable: true)
AGE_10 (type: esriFieldTypeDouble, alias: Percent age under 10, SQL Type: sqlTypeOther, nullable: true, editable: true)
AGE_MIDDLE (type: esriFieldTypeDouble, alias: Percent age 10 to 64, SQL Type: sqlTypeOther, nullable: true, editable: true)
AGE_OLD (type: esriFieldTypeDouble, alias: Percent age over 64, SQL Type: sqlTypeOther, nullable: true, editable: true)
TA_COU_116 (type: esriFieldTypeDouble, alias: Number of Tribal areas within Census tract for Alaska, SQL Type: sqlTypeOther, nullable: true, editable: true)
TA_COUNT_C (type: esriFieldTypeDouble, alias: Number of Tribal areas within Census tract, SQL Type: sqlTypeOther, nullable: true, editable: true)
TA_PERC (type: esriFieldTypeDouble, alias: Percent of the Census tract that is within Tribal areas, SQL Type: sqlTypeOther, nullable: true, editable: true)
TA_PERC_FE (type: esriFieldTypeDouble, alias: Percent of the Census tract that is within Tribal areas, for display, SQL Type: sqlTypeOther, nullable: true, editable: true)
Description: This dataset contains the US Census Bureau 2020 Census Block Groups for the State of Florida with selected fields from the 2016-2020 American Community Survey (ACS). Some of the fields included in this dataset are total population, education, and housing and economic characteristics. This data is at the block group level. The ACS was designed to replace the long-form of the decennial census. The ACS is a survey that releases data annually. ACS data are survey estimates distributed for 1-, 3-, and 5-year time periods. The 5-year estimates are the only time period estimates that provide data at the block group level. This data is designed for use within the Florida Department of Transportation Efficient Transportation Decision Making Process (ETDM). However, the subset of ACS fields included herein is useful for a variety of applications and uses.
Description: This dataset contains the US Census Bureau 2020 Census Block Groups for the State of Florida with selected fields from the 2016-2020 American Community Survey (ACS). Some of the fields included in this dataset are total population, education, and housing and economic characteristics. This data is at the block group level. The ACS was designed to replace the long-form of the decennial census. The ACS is a survey that releases data annually. ACS data are survey estimates distributed for 1-, 3-, and 5-year time periods. The 5-year estimates are the only time period estimates that provide data at the block group level. This data is designed for use within the Florida Department of Transportation Efficient Transportation Decision Making Process (ETDM). However, the subset of ACS fields included herein is useful for a variety of applications and uses.
Name: Underserved Population Score (ACS Census 2020)
Display Field: NAME
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: This dataset contains the US Census Bureau 2020 Census Block Groups for the State of Florida with selected fields from the 2016-2020 American Community Survey (ACS). Some of the fields included in this dataset are total population, education, and housing and economic characteristics. This data is at the block group level. The ACS was designed to replace the long-form of the decennial census. The ACS is a survey that releases data annually. ACS data are survey estimates distributed for 1-, 3-, and 5-year time periods. The 5-year estimates are the only time period estimates that provide data at the block group level. This data is designed for use within the Florida Department of Transportation Efficient Transportation Decision Making Process (ETDM). However, the subset of ACS fields included herein is useful for a variety of applications and uses.
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