U.S. Census Bureau 20220317 Vector Digital Data Set (Polygon) Washington, DC U.S. Census Bureau State of Florida withheld 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. For the research and analysis of the 2016-2020 American Community Survey (ACS) at the Census Block Group geography level. The data contains selected fields from the 2016-2020 ACS. Census Block Groups are geographic entities made up of Census Blocks and that are contained within the same Census Tract. Block Groups generally contain between 600 and 3,000 people, with an optimum size of 1,500 people. 20160101 20201231 publication date Complete As needed -87.639356 -79.812215 31.042641 24.354693 ISO 19115 Topic Category boundaries society ISO 19115 Topic Category housing economic education socioeconomic population None block group Florida None None U.S. Census Bureau mailing and physical 4600 Silver Hill Road, Stop 7400 Washington, D.C. 20233-7400 US (301) 763-4039 (301) 763-4348 http://www.census.gov/ Version 6.2 (Build 9200) ; Esri ArcGIS 10.8.1.14362 Additional documentation can be found here: https://www.census.gov/programs-surveys/acs/technical-documentation/pums/documentation.html GeoPlan relied on the integrity of the attribute information within the original data. This data is provided 'as is'. GeoPlan relied on the integrity of the original data layer's topology This data is provided 'as is' by GeoPlan and is complete to our knowledge. This data is provided 'as is' and its horizontal positional accuracy has not been verified by GeoPlan This data is provided 'as is' and its vertical positional accuracy has not been verified by GeoPlan 100000 online Spatial and Attribute Information USCB The 2020 TIGER line files were downloaded from the following site: https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html. date downloaded 8/25/21. The data was projected to Albers HPGN. The American Community Survey data was downloaded from the Census Bureau in dat format from: https://www2.census.gov/programs-surveys/acs/summary_file/2020/prototype/5YRData/. date downloaded: 4/14/22. Changed name from tlgdb_2020_a_12_fl.gdb\Block_Group to CENACS_2020. A variety of GIS techniques including python scripting were used to download, parse, aggregate, and join the tabular demographic data to the spatial data. The result is a feature class with logically named fields that are made up of one or more census fields withheld 20220425 Vector Simple FALSE 0 TRUE FALSE coordinate pair 0.0001 0.0001 meters D North American 1983 HARN GRS 1980 6378137.0 298.257222101 CensusACS_BlockGroups CENACS_2020.DBF U.S. Census Bureau Feature Class 0 GEOID20 GEOID20 String 12 0 0 Block identifier; a concatenation of Census state Federal Information Processing Standards (FIPS) code, county FIPS code, census tract code, census block group code NAMELSAD NAMELSAD String 13 0 0 Census translated legal/statistical area description and the block group number ALAND ALAND Double 8 0 0 Census land area (square meters) AWATER AWATER Double 8 0 0 Census water area (square meters) INTPTLAT INTPTLAT String 11 0 0 Census latitude of the internal point INTPTLON INTPTLON String 12 0 0 Census longitude of the internal point 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. ACRES ACRES Double 8 0 0 Acres LOGRECNO LOGRECNO Double 8 0 0 Unique ID used to join ACS data to proper Block Group FILEID FILEID String 5 0 0 Census File ID STUSAB STUSAB String 2 0 0 2 letter state code SUMLEVEL SUMLEVEL Double 8 0 0 Census geographic summary level STATE STATE Double 8 0 0 State COUNTY COUNTY Double 8 0 0 County TRACT TRACT Double 8 0 0 Census Tract BLKGRP BLKGRP Double 8 0 0 Census Block Group NAME NAME String 211 0 0 Block Group Name TOTALPOP TOTALPOP Integer 4 0 0 Total Population - [B01003_E001] HOUSEHOLDS HOUSEHOLDS Integer 4 0 0 Total: Households (Includes Living Alone) - [B11001_E001] MALE MALE Integer 4 0 0 Population Male - [B01001_E002] FEMALE FEMALE Integer 4 0 0 Population Female - [B01001_E026] WHITE WHITE Integer 4 0 0 Population White alone - [B02001_E002] BLACK BLACK Integer 4 0 0 Population Black or African American alone - [B02001_E003] AMERI_ES AMERI_ES Integer 4 0 0 Population American Indian and Alaska Native alone - [B02001_E004] ASIAN ASIAN Integer 4 0 0 Population Asian alone - [B02001_E005] HAWN_PI HAWN_PI Integer 4 0 0 Population Native Hawaiian and Other Pacific Islander alone - [B02001_E006] OTHER OTHER Integer 4 0 0 Population Some other race alone - [B02001_E007] MULT_RACE MULT_RACE Integer 4 0 0 Population Two or more races - [B02001_E008] HISPANIC HISPANIC Integer 4 0 0 Population Hispanic or Latino by Race - [B03002_E012] WHITE_NH WHITE_NH Integer 4 0 0 Not Hispanic or Latino: White alone - [B03002_E003] HISPNC_NOT HISPNC_NOT Integer 4 0 0 Total Population minus Hispanic Population - [TOTALPOP] - [HISPANIC] MINORITY MINORITY Integer 4 0 0 "Minority Population" is the population that lists their racial status as a race other than white alone and-or lists their ethnicity as Hispanic or Latino. That is, all people other than non-Hispanic white-alone individuals. The word "alone" in this case indicates that the person is of a single race, not multiracial - [TOTALPOP] - [WHITE_NH] AVE_HH_SZ AVE_HH_SZ Double 8 0 0 Average household size Total: Average Household Size of Occupied Housing Units by Tenure - [B25010_E001] PH_TOTAL PH_TOTAL Integer 4 0 0 Total: Household Type by Relatives and Nonrelatives for Population in Households - [B11002_E001] PH_FAM PH_FAM Integer 4 0 0 Population in family households - [B11002_E002] PH_NONFAM PH_NONFAM Integer 4 0 0 Population in nonfamily households - [B11002_E012] FAM_HH FAM_HH Integer 4 0 0 Family households - [B11001_E002] AVE_FAM_SZ AVE_FAM_SZ Double 8 0 0 Average family size (Total Population In family households/Family households) - [PH_FAM]/[FAM_HH] AGE_UNDER5 AGE_UNDER5 Integer 4 0 0 Population Under 5 years - [B01001_E003] + [B01001_E027] AGE_5_17 AGE_5_17 Integer 4 0 0 Population 5 to 17 years - [B01001_E004] + [B01001_E028] + [B01001_E005] + [B01001_E029] + [B01001_E006] + [B01001_E030] AGE_18_21 AGE_18_21 Integer 4 0 0 Population 18 to 21 years - [B01001_E007] + [B01001_E031] + [B01001_E008] + [B01001_E032] + [B01001_E009] + [B01001_E033] AGE_22_29 AGE_22_29 Integer 4 0 0 Population 22 to 29 years - [B01001_E010] + [B01001_E034] + [B01001_E011] + [B01001_E035] AGE_30_39 AGE_30_39 Integer 4 0 0 Population 30 to 39 years - [B01001_E012] + [B01001_E036] + [B01001_E013] + [B01001_E037] AGE_40_49 AGE_40_49 Integer 4 0 0 Population 40 to 49 years - [B01001_E014] + [B01001_E038] + [B01001_E015] + [B01001_E039] AGE_50_64 AGE_50_64 Integer 4 0 0 Population 50 to 64 years - [B01001_E016] + [B01001_E040] + [B01001_E017] + [B01001_E041] + [B01001_E018] + [B01001_E042] + [B01001_E019] + [B01001_E043] AGE_65_UP AGE_65_UP Integer 4 0 0 Population 65 and up - [B01001_E020] + [B01001_E044] + [B01001_E021] + [B01001_E045] + [B01001_E022] + [B01001_E046] + [B01001_E023] + [B01001_E047] + [B01001_E024] + [B01001_E048] + [B01001_E025] + [B01001_E049] AGE_65_74 AGE_65_74 Integer 4 0 0 Population 65 to 74 years - [B01001_E020] + [B01001_E044] + [B01001_E021] + [B01001_E045] + [B01001_E022] + [B01001_E046] AGE_75_84 AGE_75_84 Integer 4 0 0 Population 75 to 84 years - [B01001_E023] + [B01001_E047] + [B01001_E024] + [B01001_E048] AGE_85_UP AGE_85_UP Integer 4 0 0 Population 85 years and over - [B01001_E025] + [B01001_E049] MED_AGE MED_AGE Double 8 0 0 Median age for population - [B01002_E001] HABVBELOW HABVBELOW Integer 4 0 0 Households Total: households for poverty status in the past 12 months by household type by age of householder - [B17017_E001] HBELOW_POV HBELOW_POV Integer 4 0 0 Households with income in the past 12 months below poverty level - [B17017_E002] HABOVE_POV HABOVE_POV Integer 4 0 0 Households with income in the past 12 months at or above poverty level - [B17017_E031] ABVE_BELW ABVE_BELW Integer 4 0 0 Population Total: Poverty Status of Individuals in the Past 12 Months by Living Arrangement - [B17021_E001] ABOVE_POV ABOVE_POV Integer 4 0 0 Population with income in the past 12 months at or above poverty level - [B17021_E019] BELOW_POV BELOW_POV Integer 4 0 0 Population with income in the past 12 months below poverty level - [B17021_E002] ED_TOTAL ED_TOTAL Integer 4 0 0 Population Total: Sex by Educational Attainment for the Population 25 Years and over - [B15002_E001] ED_LESS9TH ED_LESS9TH Integer 4 0 0 Educational Attainment for the Population 25 Years and over No schooling completed, Nursery to 4th grade, 5th and 6th grade, 7th and 8th grade - [B15002_E003] + [B15002_E020] + [B15002_E004] + [B15002_E021] + [B15002_E005] + [B15002_E022] + [B15002_E006] + [B15002_E023] ED_12NODIP ED_12NODIP Integer 4 0 0 Educational Attainment for the Population 25 Years and over 9th grade, 10th grade, 11th grade, 12th grade, no diploma - [B15002_E007] + [B15002_E024] + [B15002_E008] + [B15002_E025] + [B15002_E009] + [B15002_E026] + [B15002_E010] + [B15002_E027] HSGRAD HSGRAD Integer 4 0 0 Educational Attainment for the Population 25 Years and over High school graduate, GED (includes equivalency) - [B15002_E011] + [B15002_E028] + [B15002_E012] + [B15002_E029] + [B15002_E013] + [B15002_E030] + [B15002_E014] + [B15002_E031] + [B15002_E015] + [B15002_E032] + [B15002_E016] + [B15002_E033] + [B15002_E017] + [B15002_E034] + [B15002_E018] + [B15002_E035] ED_SOMECOL ED_SOMECOL Integer 4 0 0 Educational Attainment for the Population 25 Years and over Some college - less than 1 year, Some college - 1 or more years no degree, Associate's degree - [B15002_E012] + [B15002_E029] + [B15002_E013] + [B15002_E030] + [B15002_E014] + [B15002_E031] ED_COLLEGE ED_COLLEGE Integer 4 0 0 Educational Attainment for the Population 25 Years and over Bachelor's degree, Master's degree, Professional school degree, Doctorate degree - [B15002_E015] + [B15002_E032] + [B15002_E016] + [B15002_E033] + [B15002_E017] + [B15002_E034] + [B15002_E018] + [B15002_E035] BACHELORS BACHELORS Integer 4 0 0 Educational Attainment for the Population 25 Years and over Bachelor's degree only - [B15002_E015] + [B15002_E032] HSE_UNITS HSE_UNITS Integer 4 0 0 Total Housing Units - [B25001_E001] HS_PER_AC HS_PER_AC Double 8 0 0 Housing units per acre - [HSE_UNITS]/[ACRES] VACANT VACANT Integer 4 0 0 Total Vacant housing units - [B25004_E001] TRAN_TOTAL TRAN_TOTAL Integer 4 0 0 Means of Transportation to Work Total, workers 16 years and over - [B08301_E001] TRAN_CAR TRAN_CAR Integer 4 0 0 Means of Transportation to Work Car, truck, or van - [B08301_E002] TRAN_MOTO TRAN_MOTO Integer 4 0 0 Means of Transportation to Work Motorcycle - [B08301_E017] TRAN_BIKE TRAN_BIKE Integer 4 0 0 Means of Transportation to Work Bicycle - [B08301_E018] TRAN_PUB TRAN_PUB Integer 4 0 0 Means of Transportation to Work Public transportation (excluding taxicab) - [B08301_E010] TRAN_WALK TRAN_WALK Integer 4 0 0 Means of Transportation to Work Walked - [B08301_E019] TRAN_OTHER TRAN_OTHER Integer 4 0 0 Means of Transportation to Work Other means - [B08301_E020] TRAN_HOME TRAN_HOME Integer 4 0 0 Means of Transportation to Work Worked at home - [B08301_E021] ENROLLED ENROLLED Integer 4 0 0 Population 3 Years And Over Enrolled In School - [B14002_E003] + [B14002_E027] NOT_ENROLD NOT_ENROLD Integer 4 0 0 Population 3 Years And Over Not enrolled in school - [B14002_E025] + [B14002_E049] LESS_10K LESS_10K Integer 4 0 0 Number of Households with Household Income in The Past 12 Months Less than $10,000 (in 2020 Inflation-Adjusted Dollars) - [B19001_E002] I10K_14K I10K_14K Integer 4 0 0 Number of Households with Household Income in The Past 12 Months $10,000 to $14,999 (in 2020 Inflation-Adjusted Dollars) - [B19001_E003] I15K_19K I15K_19K Integer 4 0 0 Number of Households with Household Income in The Past 12 Months $15,000 to $19,999 (in 2020 Inflation-Adjusted Dollars) - [B19001_E004] I20K_24K I20K_24K Integer 4 0 0 Number of Households with Household Income in The Past 12 Months $20,000 to $24,999 (in 2020 Inflation-Adjusted Dollars) - [B19001_E005] I25K_29K I25K_29K Integer 4 0 0 Number of Households with Household Income in The Past 12 Months $25,000 to $29,999 (in 2020 Inflation-Adjusted Dollars) - [B19001_E006] I30K_34K I30K_34K Integer 4 0 0 Number of Households with Household Income in The Past 12 Months $30,000 to $34,999 (in 2020 Inflation-Adjusted Dollars) - [B19001_E007] I35K_39K I35K_39K Integer 4 0 0 Number of Households with Household Income in The Past 12 Months $35,000 to $39,999 (in 2020 Inflation-Adjusted Dollars) - [B19001_E008] I40K_44K I40K_44K Integer 4 0 0 Number of Households with Household Income in The Past 12 Months $40,000 to $44,999 (in 2020 Inflation-Adjusted Dollars) - [B19001_E009] I45K_49K I45K_49K Integer 4 0 0 Number of Households with Household Income in The Past 12 Months $45,000 to $49,999 (in 2020 Inflation-Adjusted Dollars) - [B19001_E010] I50K_59K I50K_59K Integer 4 0 0 Number of Households with Household Income in The Past 12 Months $50,000 to $59,999 (in 2020 Inflation-Adjusted Dollars) - [B19001_E011] I60K_74K I60K_74K Integer 4 0 0 Number of Households with Household Income in The Past 12 Months $60,000 to $74,999 (in 2020 Inflation-Adjusted Dollars) - [B19001_E012] I75K_99K I75K_99K Integer 4 0 0 Number of Households with Household Income in The Past 12 Months $75,000 to $99,999 (in 2020 Inflation-Adjusted Dollars) - [B19001_E013] I100K_124K I100K_124K Integer 4 0 0 Number of Households with Household Income in The Past 12 Months $100,000 to $124,999 (in 2020 Inflation-Adjusted Dollars) - [B19001_E014] I125K_149K I125K_149K Integer 4 0 0 Number of Households with Household Income in The Past 12 Months $125,000 to $149,999 (in 2020 Inflation-Adjusted Dollars) - [B19001_E015] I150K_199K I150K_199K Integer 4 0 0 Number of Households with Household Income in The Past 12 Months $150,000 to $199,999 (in 2020 Inflation-Adjusted Dollars) - [B19001_E016] I200KMORE I200KMORE Integer 4 0 0 Number of Households with Household Income in The Past 12 Months $200,000 or more (in 2020 Inflation-Adjusted Dollars) - [B19001_E017] MEDHHINC MEDHHINC Integer 4 0 0 Median household income in the past 12 months (in 2020 inflation-adjusted dollars) - [B19013_E001] MEDFINCOME MEDFINCOME Integer 4 0 0 Median family income in the past 12 months (in 2020 inflation-adjusted dollars) - [B19113_E001] HH_NOPUBA HH_NOPUBA Integer 4 0 0 Households with No public assistance income - [B19057_E003] HH_PUBA HH_PUBA Integer 4 0 0 Households with public assistance income - [B19057_E002] MEDOOHVAL MEDOOHVAL Integer 4 0 0 Median value (dollars) Owner-occupied housing units - [B25077_E001] H1ATTACH H1ATTACH Integer 4 0 0 Housing Units in Structure 1, attached - [B25024_E003] H1DETACH H1DETACH Integer 4 0 0 Housing Units in Structure 1, detached - [B25024_E002] H2UNIT H2UNIT Integer 4 0 0 Housing Units in Structure 2 - [B25024_E004] H3_4UNIT H3_4UNIT Integer 4 0 0 Housing Units in Structure 3 or 4 - [B25024_E005] H5_9UNIT H5_9UNIT Integer 4 0 0 Housing Units in Structure 5 to 9 - [B25024_E006] H10_19UNIT H10_19UNIT Integer 4 0 0 Housing Units in Structure 10 to 19 - [B25024_E007] H20_49UNIT H20_49UNIT Integer 4 0 0 Housing Units in Structure 20 to 49 - [B25024_E008] H50MORE H50MORE Integer 4 0 0 Housing Units in Structure 50 or more - [B25024_E009] MOBILE MOBILE Integer 4 0 0 Housing Units in Structure Mobile home - [B25024_E010] OTHERHOUSE OTHERHOUSE Integer 4 0 0 Housing Units in Structure Boat, RV, van, etc. - [B25024_E011] H_SF H_SF Integer 4 0 0 Single Family - [H1ATTACH]+ [H1DETACH] H_MF H_MF Integer 4 0 0 Mulit Family - [H2UNIT] + [H3_4UNIT] + [H5_9UNIT] + [H10_19UNIT] + [H20_49UNIT] + [H50MORE] OWNER OWNER Integer 4 0 0 Owner occupied housing units - [B25038_E002] RENTER RENTER Integer 4 0 0 Renter occupied housing units - [B25038_E009] OWN_19 OWN_19 Integer 4 0 0 Owner occupied housing units Moved in 2019 or later - [B25038_E003] RENT_19 RENT_19 Integer 4 0 0 Renter occupied housing units Moved in 2019 or later - [B25038_E010] B14 B14 Integer 4 0 0 Housing Units Built 2014 or later - [B25034_E002] B10_13 B10_13 Integer 4 0 0 Housing Units Built 2010 to 2013 - [B25034_E003] B00_09 B00_09 Integer 4 0 0 Housing Units Built 2000 to 2009 - [B25034_E004] B90_99 B90_99 Integer 4 0 0 Housing Units Built 1990 to 1999 - [B25034_E005] B80_89 B80_89 Integer 4 0 0 Housing Units Built 1980 to 1989 - [B25034_E006] B70_79 B70_79 Integer 4 0 0 Housing Units Built 1970 to 1979 - [B25034_E007] B60_69 B60_69 Integer 4 0 0 Housing Units Built 1960 to 1969 - [B25034_E008] B50_59 B50_59 Integer 4 0 0 Housing Units Built 1950 to 1959 - [B25034_E009] B40_49 B40_49 Integer 4 0 0 Housing Units Built 1940 to 1949 - [B25034_E010] BEFORE39 BEFORE39 Integer 4 0 0 Housing Units Built 1939 or earlier - [B25034_E011] M19 M19 Integer 4 0 0 Occupied housing units moved in 2019 or later - [B25038_E003] + [B25038_E010] M15_18 M15_18 Integer 4 0 0 Occupied housing units Moved in 2015 to 2018 - [B25038_E004] + [B25038_E011] M10_14 M10_14 Integer 4 0 0 Occupied housing units Moved in 2010 to 2014 - [B25038_E005] + [B25038_E012] M00_09 M00_09 Integer 4 0 0 Occupied housing units Moved in 2000 to 2009 - [B25038_E006] + [B25038_E013] M90_99 M90_99 Integer 4 0 0 Occupied housing units Moved in 1990 to 1999 - [B25038_E007] + [B25038_E014] M89BEFORE M89BEFORE Integer 4 0 0 Occupied housing units Moved in 1989 or earlier - [B25038_E008] + [B25038_E015] MO_19 MO_19 Integer 4 0 0 Owner Occupied housing units moved in 2019 or later - [B25038_E003] MO_15_18 MO_15_18 Integer 4 0 0 Owner Occupied housing units Moved in 2015 to 2018 - [B25038_E004] MO_10_14 MO_10_14 Integer 4 0 0 Owner Occupied housing units Moved in 2010 to 2014 - [B25038_E005] MO_00_09 MO_00_09 Integer 4 0 0 Owner Occupied housing units Moved in 2000 to 2009 - [B25038_E006] MO_90_99 MO_90_99 Integer 4 0 0 Owner Occupied housing units Moved in 1990 to 1999 - [B25038_E007] MO89BEFORE MO89BEFORE Integer 4 0 0 Owner Occupied housing units Moved in 1989 or earlier - [B25038_E008] MR_19 MR_19 Integer 4 0 0 Renter Occupied housing units moved in 2019 or later - [B25038_E010] MR_15_18 MR_15_18 Integer 4 0 0 Renter Occupied housing units Moved in 2015 to 2018 - [B25038_E011] MR_10_14 MR_10_14 Integer 4 0 0 Renter Occupied housing units Moved in 2010 to 2014 - [B25038_E012] MR_00_09 MR_00_09 Integer 4 0 0 Renter Occupied housing units Moved in 2000 to 2009 - [B25038_E013] MR_90_99 MR_90_99 Integer 4 0 0 Renter Occupied housing units Moved in 1990 to 1999 - [B25038_E014] MR89BEFORE MR89BEFORE Integer 4 0 0 Renter Occupied housing units Moved in 1989 or earlier - [B25038_E015] MYTOTAL MYTOTAL Integer 4 0 0 Median year householder moved into unit - Occupied Housing Units Total - [B25039_E001] MYOWNER MYOWNER Integer 4 0 0 Median year householder moved into unit - Occupied Housing Units Owner - [B25039_E002] MYRENTER MYRENTER Integer 4 0 0 Median year householder moved into unit - Occupied Housing Units Renter - [B25039_E003] VEHICLE_0 VEHICLE_0 Integer 4 0 0 Occupied Housing Units with No vehicle available - [B25044_E003] + [B25044_E010] VEHICLE_1 VEHICLE_1 Integer 4 0 0 Occupied Housing Units with 1 vehicle available - [B25044_E004] + [B25044_E011] VEHICLE_2 VEHICLE_2 Integer 4 0 0 Occupied Housing Units with 2 vehicles available - [B25044_E005] + [B25044_E012] VEHICLE_3 VEHICLE_3 Integer 4 0 0 Occupied Housing Units with 3 vehicles available - [B25044_E006] + [B25044_E013] VEHICLE_4 VEHICLE_4 Integer 4 0 0 Occupied Housing Units with 4 vehicles available - [B25044_E007] + [B25044_E014] VEHICLE5G VEHICLE5G Integer 4 0 0 Occupied Housing Units with 5 or more vehicles available - [B25044_E008] + [B25044_E015] S_TOTAL S_TOTAL Integer 4 0 0 Ability to Speak English for the Population 5+ Yrs Total - [B16004_E001] S_VERYWELL S_VERYWELL Integer 4 0 0 Ability to Speak English for the Population 5+ Yrs Speak English 'very well' - [B16004_E005] + [B16004_E010] + [B16004_E015] + [B16004_E020] + [B16004_E027] + [B16004_E032] + [B16004_E037] + [B16004_E042] + [B16004_E049] + [B16004_E054] + [B16004_E059] + [B16004_E064] S_WELL S_WELL Integer 4 0 0 Ability to Speak English for the Population 5+ Yrs Speak English 'well' - [B16004_E006] + [B16004_E011] + [B16004_E016] + [B16004_E021] + [B16004_E028] + [B16004_E033] + [B16004_E038] + [B16004_E043] + [B16004_E050] + [B16004_E055] + [B16004_E060] + [B16004_E065] S_NOTWELL S_NOTWELL Integer 4 0 0 Ability to Speak English for the Population 5+ Yrs Speak English 'not well' - [B16004_E007] + [B16004_E012] + [B16004_E017] + [B16004_E022] + [B16004_E029] + [B16004_E034] + [B16004_E039] + [B16004_E044] + [B16004_E051] + [B16004_E056] + [B16004_E061] + [B16004_E066] S_NOTATALL S_NOTATALL Integer 4 0 0 Ability to Speak English for the Population 5+ Yrs Speak English 'not at all' - [B16004_E008] + [B16004_E013] + [B16004_E018] + [B16004_E023] + [B16004_E030] + [B16004_E035] + [B16004_E040] + [B16004_E045] + [B16004_E052] + [B16004_E057] + [B16004_E062] + [B16004_E067] S_ENGLISH S_ENGLISH Integer 4 0 0 Ability to Speak English for the Population 5+ Yrs Speak only English - [B16004_E003] + [B16004_E025] + [B16004_E047] S_SPANISH S_SPANISH Integer 4 0 0 Ability to Speak English for the Population 5+ Yrs Speak Spanish - [B16004_E004] + [B16004_E026] + [B16004_E048] S_EUROPE S_EUROPE Integer 4 0 0 Ability to Speak English for the Population 5+ Yrs Speak other Indo-European languages - [B16004_E009] + [B16004_E031] + [B16004_E053] S_ASIAN S_ASIAN Integer 4 0 0 Ability to Speak English for the Population 5+ Yrs Speak Asian and Pacific Island languages - [B16004_E014] + [B16004_E036] + [B16004_E058] S_OTHER S_OTHER Integer 4 0 0 Ability to Speak English for the Population 5+ Yrs Speak other languages - [B16004_E019] + [B16004_E041] + [B16004_E063] S_NOTVERYWELL S_NOTVERYWELL Integer 4 0 0 Ability to Speak English for the Population 5+ Yrs, speak well, not well, or not at all - [s_well] + [s_notwell] + [s_notatall] S_NOT S_NOT Integer 4 0 0 Ability to Speak English for the Population 5+ Yrs, not well, or not at all - [s_notwell] + [s_notatall] HL_TOTAL HL_TOTAL Integer 4 0 0 Total Households by Household Language by Household Limited English Speaking Status - [C16002_E001] HL_ENGLISH HL_ENGLISH Integer 4 0 0 Households that speak English. This includes households that are English only, or that speak other languages but are not a limited English speaking household. - [C16002_E002] + [C16002_E005]+ [C16002_E008]+ [C16002_E011]+ [C16002_E014] HL_SPAN_L HL_SPAN_L Integer 4 0 0 Households that speak Spanish: Limited English speaking household - [C16002_E004] HL_EURO_L HL_EURO_L Integer 4 0 0 Households that speak Other Indo-European languages: Limited English speaking household - [C16002_E007] HL_ASIAN_L HL_ASIAN_L Integer 4 0 0 Households that speak Asian and Pacific Island languages: Limited English speaking household - [C16002_E010] HL_OTHER_L HL_OTHER_L Integer 4 0 0 Households that speak Other languages: Limited English speaking household - [C16002_E013] LABOR_CIV LABOR_CIV Integer 4 0 0 Civilian Employed Population 16 Years And Over Total - [C24010_E001] RTOTAL RTOTAL Integer 4 0 0 Ratio of Income to Poverty Level in the Past 12 Months. Total population for whom Poverty Status is Determined - [C17002_E001] RU50 RU50 Integer 4 0 0 Ratio of Income to Poverty Level in the Past 12 Months Under .50 - [C17002_E002] R50_99 R50_99 Integer 4 0 0 Ratio of Income to Poverty Level in the Past 12 Months .50 to .99 - [C17002_E003] R1_124 R1_124 Integer 4 0 0 Ratio of Income to Poverty Level in the Past 12 Months 1.00 to 1.24 - [C17002_E004] R125ABV R125ABV Integer 4 0 0 Ratio of Income to Poverty Level in the Past 12 Months 1.25 and over - [C17002_E005] + [C17002_E006] + [C17002_E007] + [C17002_E008] RU1 RU1 Integer 4 0 0 Ratio of Income to Poverty Level in the Past 12 Months under 1 - [RU50] + [R50_99] RU2ABV RU2ABV Integer 4 0 0 Ratio of Income to Poverty Level in the Past 12 Months 2.00 and over - [C17002_E008] DIS_TOTAL DIS_TOTAL Integer 4 0 0 Population by Poverty Status in the Past 12 Months by Disability Status by Employment Status for the Population 20 to 64 Years Total - [B23024_E001] DIS_2064 DIS_2064 Integer 4 0 0 Population 20 to 64 Years with Income in the past 12 months below and above poverty level with a disability - [B23024_E003] + [B23024_E018] NO_DIS2064 NO_DIS2064 Integer 4 0 0 Population 20 to 64 Years with Income in the past 12 months below and above poverty level with No disability - [B23024_E010] + [B23024_E025] GMTOT GMTOT Integer 4 0 0 Geographical Mobility in the Past Year for Current Residence Population 1 Year And Over Living in and out of Metropolitan Statistical Areas or Micropolitan Statistical Areas In The United States: Total - [B07201_E001] + [B07202_E001] + [B07203_E001] GMSAME GMSAME Integer 4 0 0 Geographical Mobility in the Past Year for Current Residence Population 1 Year And Over Living in and out of Metropolitan Statistical Areas or Micropolitan Statistical Areas In The United States: Same house 1 year ago - [B07201_E002] + [B07202_E002] + [B07203_E002] GMDIFF GMDIFF Integer 4 0 0 Geographical Mobility in the Past Year for Current Residence Population 1 Year And Over Living in and out of Metropolitan Statistical Areas or Micropolitan Statistical Areas In The United States: Different house in United States 1 year ago - [B07201_E003] + [B07202_E003] + [B07203_E003] GMABROAD GMABROAD Integer 4 0 0 Geographical Mobility in the Past Year for Current Residence Population 1 Year And Over Living in and out of Metropolitan Statistical Areas or Micropolitan Statistical Areas In The United States: Abroad 1 year ago - [B07201_E014] + [B07202_E014] + [B07203_E011] C_TOTAL C_TOTAL Integer 4 0 0 Types of Computers in Household. Total Households - [B28001_E001] C_COMPUTER C_COMPUTER Integer 4 0 0 Households that have one or more types of computing devices. Includes: Desktop or laptop, Smartphone, Tablet or other portable wireless computer, Other computer - [B28001_E002] C_NO_COMP C_NO_COMP Integer 4 0 0 Households that have No Computer - [B28001_E011] I_TOTAL I_TOTAL Integer 4 0 0 Presence and Types of Internet Subscriptions in Household. Total Households. - [B28002_E001] I_INTERNET I_INTERNET Integer 4 0 0 Households with an Internet Subscription. Includes: Dial-up, Cellular, Broadband, Satellite, or Other - [B28002_E002] I_NO_SUB I_NO_SUB Integer 4 0 0 Households with Internet Access without a Subscription - [B28002_E012] I_NO_NET I_NO_NET Integer 4 0 0 Households with no Internet Access - [B28002_E013] PCT_NOTWEL PCT_NOTWEL Double 8 0 0 Percent Ability to Speak English for the Population 5+ Yrs Speak English 'not well' - ([S_NOTWELL]/[S_TOTAL] * 100) PCT_NOTATA PCT_NOTATA Double 8 0 0 Percent Ability to Speak English for the Population 5+ Yrs Speak English 'not at all' - ([S_NOTATALL]/[S_TOTAL] * 100) DEN_NOTWEL DEN_NOTWEL Double 8 0 0 Density per acre of Ability to Speak English for the Population 5+ Yrs Speak English 'not well' - [S_NOTWELL]/[ACRES] DEN_NOTATA DEN_NOTATA Double 8 0 0 Density per acre of Ability to Speak English for the Population 5+ Yrs Speak English 'not at all' - [S_NOTATALL]/[ACRES] PCT_BACHLR PCT_BACHLR Double 8 0 0 Percent Educational Attainment for the Population 25 Years and over Bachelor's degree only - ([BACHELORS]/[TOTALPOP] * 100) PCT_POV PCT_POV Double 8 0 0 Percent Population with income in the past 12 months below poverty level - ([BELOW_POV]/[ABVE_BELW] * 100) PCT_RU50 PCT_RU50 Double 8 0 0 Percent Ratio of Income to Poverty Level in the Past 12 Months Under .50 - ([RU50]/[RTOTAL] * 100) PCT_R50_9 PCT_R50_9 Double 8 0 0 RPercent atio of Income to Poverty Level in the Past 12 Months .50 to .99 - ([R50_99]/[RTOTAL] * 100) PCT_R125AB PCT_R125AB Double 8 0 0 Percent Ratio of Income to Poverty Level in the Past 12 Months 1.25 and over - ([R125ABV]/[RTOTAL] * 100) PCT_RU1 PCT_RU1 Double 8 0 0 Percent Ratio of Income to Poverty Level in the Past 12 Months under 1 - ([RU1]/[RTOTAL] * 100) DEN_POP DEN_POP Double 8 0 0 Population per acre - [TOTALPOP]/[ACRES] DEN_WHITE DEN_WHITE Double 8 0 0 Density per acre of Persons White alone - [WHITE]/[ACRES] DEN_BLACK DEN_BLACK Double 8 0 0 Density per acre of Persons Black or African American alone - [BLACK]/[ACRES] DEN_AMERI DEN_AMERI Double 8 0 0 Density per acre of Persons American Indian and Alaska Native alone - [AMERI_ES]/[ACRES] DEN_ASIAN DEN_ASIAN Double 8 0 0 Density per acre of Persons Asian alone - [ASIAN]/[ACRES] DEN_HAWN DEN_HAWN Double 8 0 0 Density per acre of Persons Native Hawaiian and Other Pacific Islander alone - [HAWN_PI]/[ACRES] DEN_OTHER DEN_OTHER Double 8 0 0 Density per acre of Persons Some other race alone - [OTHER]/[ACRES] DEN_MULTI DEN_MULTI Double 8 0 0 Density per acre of Persons Two or more races - [MULT_RACE]/[ACRES] DEN_HISP DEN_HISP Double 8 0 0 Density per acre of Persons Hispanic or Latino - [HISPANIC]/[ACRES] DEN_DIS20 DEN_DIS20 Double 8 0 0 Density per acre of Population 20 To 64 Years With a disability - [DIS_2064]/[ACRES] PCT_WHITE PCT_WHITE Double 8 0 0 Percent of Persons White alone - ([WHITE] /[TOTALPOP] *100) PCT_BLACK PCT_BLACK Double 8 0 0 Percent of Persons Black or African American alone - ([BLACK] /[TOTALPOP] *100) PCT_AMERI PCT_AMERI Double 8 0 0 Percent of Persons American Indian and Alaska Native alone - ([AMERI_ES] /[TOTALPOP] *100) PCT_ASIAN PCT_ASIAN Double 8 0 0 Percent of Persons Asian alone - ([ASIAN] /[TOTALPOP] *100) PCT_HAWN PCT_HAWN Double 8 0 0 Percent of Persons Native Hawaiian and Other Pacific Islander alone - ([HAWN_PI] /[TOTALPOP] *100) PCT_OTHER PCT_OTHER Double 8 0 0 Percent of Persons Some other race alone - ([OTHER] /[TOTALPOP] *100) PCT_MULTI PCT_MULTI Double 8 0 0 Percent of Persons Two or more races - ([MULT_RACE] /[TOTALPOP] *100) PCT_HISP PCT_HISP Double 8 0 0 Percent of Persons Hispanic or Latino - ([HISPANIC] /[TOTALPOP] *100) PCT_DIS20 PCT_DIS20 Double 8 0 0 Percent Population 20 To 64 Years With a disability - ([DIS_2064]/[DIS_TOTAL] * 100) DESCRIPT DESCRIPT String 12 0 0 GeoPlan added field based on GEOID00 FGDLAQDATE FGDLAQDATE Date 8 0 0 Date ACS data was downloaded from U.S. Census Bureau TIGERYEAR TIGERYEAR String 25 0 0 Source date for Tiger data (spatial portion of this layer) DATAYEAR DATAYEAR String 25 0 0 Source Date of ACS data AUTOID AUTOID Integer 4 0 0 COEFF_HSE COEFF_HSE Integer 4 0 0 BG_Original_ft2 BG_Original_ft2 Double 8 0 0 UniqueID UniqueID Integer 4 0 0 VALUE_1 VALUE_1 Double 8 0 0 VALUE_2 VALUE_2 Double 8 0 0 VALUE_3 VALUE_3 Double 8 0 0 VALUE_4 VALUE_4 Double 8 0 0 VALUE_5 VALUE_5 Double 8 0 0 VALUE_6 VALUE_6 Double 8 0 0 VALUE_7 VALUE_7 Double 8 0 0 TreeCanopy_PCT TreeCanopy_PCT Double 8 0 0 PotentialPlanting_PCT PotentialPlanting_PCT Double 8 0 0 BG_PCT_in_Tampa BG_PCT_in_Tampa Double 8 0 0 LST_Mean_degF LST_Mean Double 8 0 0 LST_Median_degF LST_Median Double 8 0 0 Low_Canopy_Quantile Low_Canopy_Quantile String 5 0 0 High_LST_Quantile High_LST_Quantile String 5 0 0 Low_Planting_Quantile Low_Planting_Quantile String 5 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. Florida Geographic Data Library (FGDL) mailing

431 Architecture PO Box 115706

Gainesville Florida 32611-5706 US Mailing list for FGDL: http://www.fgdl.org/fgdl-l.html For FGDL Software: http://www.fgdl.org/software.html Technical Support: http://www.fgdl.org/fgdlfeed.html FGDL Frequently Asked Questions: http://www.fgdl.org/fgdlfaq.html Web site: http://www.fgdl.org DOWNLOADABLE DATA The Florida Geographic Data Library is a collection of Geospatial Data compiled by the University of Florida GeoPlan Center with support from the Florida Department of Transportation. GIS data available in FGDL is collected from various state, federal, and other agencies (data sources) who are data stewards, producers, or publishers. The data available in FGDL may not be the most current version of the data offered by the data source. University of Florida GeoPlan Center makes no guarantees about the currentness of the data and suggests that data users check with the data source to see if more recent versions of the data exist. Furthermore, the GIS data available in the FGDL are provided 'as is'. The University of Florida GeoPlan Center makes no warranties, guaranties or representations as to the truth, accuracy or completeness of the data provided by the data sources. The University of Florida GeoPlan Center makes no representations or warranties about the quality or suitability of the materials, either expressly or implied, including but not limited to any implied warranties of merchantability, fitness for a particular purpose, or non-infringement. The University of Florida GeoPlan Center shall not be liable for any damages suffered as a result of using, modifying, contributing or distributing the materials. A note about data scale: Scale is an important factor in data usage. Certain scale datasets are not suitable for some project, analysis, or modeling purposes. Please be sure you are using the best available data. 1:24000 scale datasets are recommended for projects that are at the county level. 1:24000 data should NOT be used for high accuracy base mapping such as property parcel boundaries. 1:100000 scale datasets are recommended for projects that are at the multi-county or regional level. 1:125000 scale datasets are recommended for projects that are at the regional or state level or larger. Vector datasets with no defined scale or accuracy should be considered suspect. Make sure you are familiar with your data before using it for projects or analysis. Every effort has been made to supply the user with data documentation. For additional information, see the References section and the Data Source Contact section of this documentation. For more information regarding scale and accuracy, see our webpage at: http://geoplan.ufl.edu/education.html Vector Digital Data Set (Polygon) 20220425 U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Geographic Products Branch mailing

4600 Silver Hill Road, Stop 7400

Washington D.C. 20233-7400 US 301-763-1128 301-763-4710 geo.tiger@census.gov FGDC Content Standard for Digital Geospatial Metadata FGDC-STD-001-1998 local time CensusACS_BlockGroups 52654.870800 799725.704900 45682.204500 781582.713900 1 002 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[&quot;WGS_1984_Web_Mercator_Auxiliary_Sphere&quot;,GEOGCS[&quot;GCS_WGS_1984&quot;,DATUM[&quot;D_WGS_1984&quot;,SPHEROID[&quot;WGS_1984&quot;,6378137.0,298.257223563]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433]],PROJECTION[&quot;Mercator_Auxiliary_Sphere&quot;],PARAMETER[&quot;False_Easting&quot;,0.0],PARAMETER[&quot;False_Northing&quot;,0.0],PARAMETER[&quot;Central_Meridian&quot;,0.0],PARAMETER[&quot;Standard_Parallel_1&quot;,0.0],PARAMETER[&quot;Auxiliary_Sphere_Type&quot;,0.0],UNIT[&quot;Meter&quot;,1.0],AUTHORITY[&quot;EPSG&quot;,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> 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Technical Support: http://www.fgdl.org/fgdlfeed.html FGDL Frequently Asked Questions: http://www.fgdl.org/fgdlfaq.html Vector Digital Data Set (Polygon) DOWNLOADABLE DATA withheld File Geodatabase Feature Class 2020 Census Block Groups in Florida (With Selected Fields From the 2016-2020 American Community Survey) 2022-03-17 U.S. Census Bureau U.S. Census Bureau Washington, DC Vector Digital Data Set (Polygon) State of Florida 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. For the research and analysis of the 2016-2020 American Community Survey (ACS) at the Census Block Group geography level. The data contains selected fields from the 2016-2020 ACS. Census Block Groups are geographic entities made up of Census Blocks and that are contained within the same Census Tract. Block Groups generally contain between 600 and 3,000 people, with an optimum size of 1,500 people. U.S. Census Bureau (301) 763-4039 (301) 763-4348 4600 Silver Hill Road, Stop 7400 Washington, D.C. 20233-7400 US http://www.census.gov/ Florida block group socioeconomic education housing population economic ISO 19115 Topic Category boundaries society ISO 19115 Topic Category socioeconomic education housing boundaries Florida block group population society economic The Florida Geographic Data Library is a collection of Geospatial Data compiled by the University of Florida GeoPlan Center with support from the Florida Department of Transportation. GIS data available in FGDL is collected from various state, federal, and other agencies (data sources) who are data stewards, producers, or publishers. The data available in FGDL may not be the most current version of the data offered by the data source. University of Florida GeoPlan Center makes no guarantees about the currentness of the data and suggests that data users check with the data source to see if more recent versions of the data exist. Furthermore, the GIS data available in the FGDL are provided 'as is'. The University of Florida GeoPlan Center makes no warranties, guaranties or representations as to the truth, accuracy or completeness of the data provided by the data sources. The University of Florida GeoPlan Center makes no representations or warranties about the quality or suitability of the materials, either expressly or implied, including but not limited to any implied warranties of merchantability, fitness for a particular purpose, or non-infringement. The University of Florida GeoPlan Center shall not be liable for any damages suffered as a result of using, modifying, contributing or distributing the materials. A note about data scale: Scale is an important factor in data usage. Certain scale datasets are not suitable for some project, analysis, or modeling purposes. Please be sure you are using the best available data. 1:24000 scale datasets are recommended for projects that are at the county level. 1:24000 data should NOT be used for high accuracy base mapping such as property parcel boundaries. 1:100000 scale datasets are recommended for projects that are at the multi-county or regional level. 1:125000 scale datasets are recommended for projects that are at the regional or state level or larger. Vector datasets with no defined scale or accuracy should be considered suspect. Make sure you are familiar with your data before using it for projects or analysis. Every effort has been made to supply the user with data documentation. For additional information, see the References section and the Data Source Contact section of this documentation. For more information regarding scale and accuracy, see our webpage at: http://geoplan.ufl.edu/education.html Additional documentation can be found here: https://www.census.gov/programs-surveys/acs/technical-documentation/pums/documentation.html Esri ArcGIS 12.9.4.32739 -87.639356 -79.812215 24.354693 31.042641 publication date 2016-01-01 2020-12-31 1 -87.639356 -79.812213 31.042641 24.354693 This data is provided 'as is'. GeoPlan relied on the integrity of the original data layer's topology This data is provided 'as is'. GeoPlan relied on the integrity of the original data layer's topology This data is provided 'as is' by GeoPlan and is complete to our knowledge. GeoPlan relied on the integrity of the attribute information within the original data. This data is provided 'as is' and its horizontal positional accuracy has not been verified by GeoPlan This data is provided 'as is' and its vertical positional accuracy has not been verified by GeoPlan The 2020 TIGER line files were downloaded from the following site: https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html. date downloaded 8/25/21. The data was projected to Albers HPGN. The American Community Survey data was downloaded from the Census Bureau in dat format from: https://www2.census.gov/programs-surveys/acs/summary_file/2020/prototype/5YRData/. date downloaded: 4/14/22. Changed name from tlgdb_2020_a_12_fl.gdb\Block_Group to CENACS_2020. A variety of GIS techniques including python scripting were used to download, parse, aggregate, and join the tabular demographic data to the spatial data. The result is a feature class with logically named fields that are made up of one or more census fields 2022-04-25 GeoPlan Spatial and Attribute Information 100000 dataset EPSG 6.18.3(9.3.1.2) 0