County Boundaries in Florida (With Selected Fields From The 2016-2020 American Community Survey)

U.S. Census Bureau20220317County Boundaries in Florida (With Selected Fields From The 2016-2020 American Community Survey)Vector Digital Data Set (Polygon)Washington, D.C.U.S. Census BureauState of Floridawww.census.govThis dataset contains the US Census Bureau 2015 Census County Boundaries 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 county 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. 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 County geography level. The data contains selected fields from the 2016-2020 ACS.2016010120201231publication dateCompleteAs needed-87.639356-79.87225131.04263924.480328ISO 19115 Topic CategoryhousingsocioeconomiceconomiceducationpopulationISO 19115 Topic CategoryboundariessocietyNoneblock groupFloridaNoneThe 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.htmlU.S. Census Bureaumailing and physical4600 Silver Hill Road, Stop 7400Washington, D.C.20233-7400US(301) 763-4039(301) 763-4348http://www.census.gov/ Version 6.2 (Build 9200) ; Esri ArcGIS 10.8.1.14362Additional documentation can be found here: https://www.census.gov/programs-surveys/acs/technical-documentation/pums/documentation.htmlGeoPlan 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 topologyThis 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 GeoPlanThis data is provided 'as is' and its vertical positional accuracy has not been verified by GeoPlan100000onLineSpatial and Attribute InformationCounty Boundaries were taken from FGDL layer CNTBND_SEP15. 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 CNTBND_SEP15 to CNTDEM_ACS_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 fieldsGeoPlan20220425VectorGT-polygon composed of chains67NAD 1983 HARN Florida GDL Albers24.031.5-84.024.0400000.00.0coordinate pair0.00010.0001meterD North American 1983 HARNGRS 19806378137.0298.257222101CNTDEM_ACS_2020CNTDEM_ACS_2020.DBFU.S. Census BureauOBJECTIDInternal feature number.EsriSequential unique whole numbers that are automatically generated.SHAPEFeature geometry.ESRICoordinates defining the features.TIGERNAMECounty name taken from TIGER data.NAMECounty NameFGDLCODECounty Code used by FGDL (coincides with alphabetical order)FIPSFIPS CodeCOASTALIf the county is coastalGEOID20Block identifier; a concatenation of Census state Federal Information Processing Standards (FIPS) code, county FIPS codeLOGRECNOUnique ID used to join ACS data to proper Block GroupTEMPACRESAcresFILEIDCensus File IDSTUSAB2 letter state codeSUMLEVELCensus geographic summary levelSTATEStateCOUNTYCountyTOTALPOPTotal Population - [B01003_E001]HOUSEHOLDSTotal: Households (Includes Living Alone) - [B11001_E001]MALEPopulation Male - [B01001_E002]FEMALEPopulation Female - [B01001_E026]WHITEPopulation White alone - [B02001_E002]BLACKPopulation Black or African American alone - [B02001_E003]AMERI_ESPopulation American Indian and Alaska Native alone - [B02001_E004]ASIANPopulation Asian alone - [B02001_E005]HAWN_PIPopulation Native Hawaiian and Other Pacific Islander alone - [B02001_E006]OTHERPopulation Some other race alone - [B02001_E007]MULT_RACEPopulation Two or more races - [B02001_E008]HISPANICPopulation Hispanic or Latino by Race - [B03002_E012]WHITE_NHNot Hispanic or Latino: White alone - [B03002_E003]HISPNC_NOTTotal Population minus Hispanic Population - [TOTALPOP] - [HISPANIC]MINORITY"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_SZAverage household size Total: Average Household Size of Occupied Housing Units by Tenure - [B25010_E001]PH_TOTALTotal: Household Type by Relatives and Nonrelatives for Population in Households - [B11002_E001]PH_FAMPopulation in family households - [B11002_E002]PH_NONFAMPopulation in nonfamily households - [B11002_E012]FAM_HHFamily households - [B11001_E002]AVE_FAM_SZAverage family size (Total Population In family households/Family households) - [PH_FAM]/[FAM_HH]AGE_UNDER5Population Under 5 years - [B01001_E003] + [B01001_E027]AGE_5_17Population 5 to 17 years - [B01001_E004] + [B01001_E028] + [B01001_E005] + [B01001_E029] + [B01001_E006] + [B01001_E030]AGE_18_21Population 18 to 21 years - [B01001_E007] + [B01001_E031] + [B01001_E008] + [B01001_E032] + [B01001_E009] + [B01001_E033]AGE_22_29Population 22 to 29 years - [B01001_E010] + [B01001_E034] + [B01001_E011] + [B01001_E035]AGE_30_39Population 30 to 39 years - [B01001_E012] + [B01001_E036] + [B01001_E013] + [B01001_E037]AGE_40_49Population 40 to 49 years - [B01001_E014] + [B01001_E038] + [B01001_E015] + [B01001_E039]AGE_50_64Population 50 to 64 years - [B01001_E016] + [B01001_E040] + [B01001_E017] + [B01001_E041] + [B01001_E018] + [B01001_E042] + [B01001_E019] + [B01001_E043]AGE_65_UPPopulation 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_74Population 65 to 74 years - [B01001_E020] + [B01001_E044] + [B01001_E021] + [B01001_E045] + [B01001_E022] + [B01001_E046]AGE_75_84Population 75 to 84 years - [B01001_E023] + [B01001_E047] + [B01001_E024] + [B01001_E048]AGE_85_UPPopulation 85 years and over - [B01001_E025] + [B01001_E049]MED_AGEMedian age for population - [B01002_E001]HABVBELOWHouseholds Total: households for poverty status in the past 12 months by household type by age of householder - [B17017_E001]HBELOW_POVHouseholds with income in the past 12 months below poverty level - [B17017_E002]HABOVE_POVHouseholds with income in the past 12 months at or above poverty level - [B17017_E031]ABVE_BELWPopulation Total: Poverty Status of Individuals in the Past 12 Months by Living Arrangement - [B17021_E001]ABOVE_POVPopulation with income in the past 12 months at or above poverty level - [B17021_E019]BELOW_POVPopulation with income in the past 12 months below poverty level - [B17021_E002]ED_TOTALPopulation Total: Sex by Educational Attainment for the Population 25 Years and over - [B15002_E001]ED_LESS9THEducational 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_12NODIPEducational 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]HSGRADEducational 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_SOMECOLEducational 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_COLLEGEEducational 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]BACHELORSEducational Attainment for the Population 25 Years and over Bachelor's degree only - [B15002_E015] + [B15002_E032]HSE_UNITSTotal Housing Units - [B25001_E001]HS_PER_ACHousing units per acre - [HSE_UNITS]/[ACRES]VACANTTotal Vacant housing units - [B25004_E001]TRAN_TOTALMeans of Transportation to Work Total, workers 16 years and over - [B08301_E001]TRAN_CARMeans of Transportation to Work Car, truck, or van - [B08301_E002]TRAN_MOTOMeans of Transportation to Work Motorcycle - [B08301_E017]TRAN_BIKEMeans of Transportation to Work Bicycle - [B08301_E018]TRAN_PUBMeans of Transportation to Work Public transportation (excluding taxicab) - [B08301_E010]TRAN_WALKMeans of Transportation to Work Walked - [B08301_E019]TRAN_OTHERMeans of Transportation to Work Other means - [B08301_E020]TRAN_HOMEMeans of Transportation to Work Worked at home - [B08301_E021]ENROLLEDPopulation 3 Years And Over Enrolled In School - [B14002_E003] + [B14002_E027]NOT_ENROLDPopulation 3 Years And Over Not enrolled in school - [B14002_E025] + [B14002_E049]LESS_10KNumber of Households with Household Income in The Past 12 Months Less than $10,000 (in 2020 Inflation-Adjusted Dollars) - [B19001_E002]I10K_14KNumber of Households with Household Income in The Past 12 Months $10,000 to $14,999 (in 2020 Inflation-Adjusted Dollars) - [B19001_E003]I15K_19KNumber of Households with Household Income in The Past 12 Months $15,000 to $19,999 (in 2020 Inflation-Adjusted Dollars) - [B19001_E004]I20K_24KNumber of Households with Household Income in The Past 12 Months $20,000 to $24,999 (in 2020 Inflation-Adjusted Dollars) - [B19001_E005]I25K_29KNumber of Households with Household Income in The Past 12 Months $25,000 to $29,999 (in 2020 Inflation-Adjusted Dollars) - [B19001_E006]I30K_34KNumber of Households with Household Income in The Past 12 Months $30,000 to $34,999 (in 2020 Inflation-Adjusted Dollars) - [B19001_E007]I35K_39KNumber of Households with Household Income in The Past 12 Months $35,000 to $39,999 (in 2020 Inflation-Adjusted Dollars) - [B19001_E008]I40K_44KNumber of Households with Household Income in The Past 12 Months $40,000 to $44,999 (in 2020 Inflation-Adjusted Dollars) - [B19001_E009]I45K_49KNumber of Households with Household Income in The Past 12 Months $45,000 to $49,999 (in 2020 Inflation-Adjusted Dollars) - [B19001_E010]I50K_59KNumber of Households with Household Income in The Past 12 Months $50,000 to $59,999 (in 2020 Inflation-Adjusted Dollars) - [B19001_E011]I60K_74KNumber of Households with Household Income in The Past 12 Months $60,000 to $74,999 (in 2020 Inflation-Adjusted Dollars) - [B19001_E012]I75K_99KNumber of Households with Household Income in The Past 12 Months $75,000 to $99,999 (in 2020 Inflation-Adjusted Dollars) - [B19001_E013]I100K_124KNumber of Households with Household Income in The Past 12 Months $100,000 to $124,999 (in 2020 Inflation-Adjusted Dollars) - [B19001_E014]I125K_149KNumber of Households with Household Income in The Past 12 Months $125,000 to $149,999 (in 2020 Inflation-Adjusted Dollars) - [B19001_E015]I150K_199KNumber of Households with Household Income in The Past 12 Months $150,000 to $199,999 (in 2020 Inflation-Adjusted Dollars) - [B19001_E016]I200KMORENumber of Households with Household Income in The Past 12 Months $200,000 or more (in 2020 Inflation-Adjusted Dollars) - [B19001_E017]MEDHHINCMedian household income in the past 12 months (in 2020 inflation-adjusted dollars) - [B19013_E001]MEDFINCOMEMedian family income in the past 12 months (in 2020 inflation-adjusted dollars) - [B19113_E001]HH_NOPUBAHouseholds with No public assistance income - [B19057_E003]HH_PUBAHouseholds with public assistance income - [B19057_E002]MEDOOHVALMedian value (dollars) Owner-occupied housing units - [B25077_E001]H1ATTACHHousing Units in Structure 1, attached - [B25024_E003]H1DETACHHousing Units in Structure 1, detached - [B25024_E002]H2UNITHousing Units in Structure 2 - [B25024_E004]H3_4UNITHousing Units in Structure 3 or 4 - [B25024_E005]H5_9UNITHousing Units in Structure 5 to 9 - [B25024_E006]H10_19UNITHousing Units in Structure 10 to 19 - [B25024_E007]H20_49UNITHousing Units in Structure 20 to 49 - [B25024_E008]H50MOREHousing Units in Structure 50 or more - [B25024_E009]MOBILEHousing Units in Structure Mobile home - [B25024_E010]OTHERHOUSEHousing Units in Structure Boat, RV, van, etc. - [B25024_E011]H_SFSingle Family - [H1ATTACH]+ [H1DETACH]H_MFMulit Family - [H2UNIT] + [H3_4UNIT] + [H5_9UNIT] + [H10_19UNIT] + [H20_49UNIT] + [H50MORE]OWNEROwner occupied housing units - [B25038_E002]RENTERRenter occupied housing units - [B25038_E009]OWN_19Owner occupied housing units Moved in 2019 or later - [B25038_E003]RENT_19Renter occupied housing units Moved in 2019 or later - [B25038_E010]B14Housing Units Built 2014 or later - [B25034_E002]B10_13Housing Units Built 2010 to 2013 - [B25034_E003]B00_09Housing Units Built 2000 to 2009 - [B25034_E004]B90_99Housing Units Built 1990 to 1999 - [B25034_E005]B80_89Housing Units Built 1980 to 1989 - [B25034_E006]B70_79Housing Units Built 1970 to 1979 - [B25034_E007]B60_69Housing Units Built 1960 to 1969 - [B25034_E008]B50_59Housing Units Built 1950 to 1959 - [B25034_E009]B40_49Housing Units Built 1940 to 1949 - [B25034_E010]BEFORE39Housing Units Built 1939 or earlier - [B25034_E011]M19Occupied housing units moved in 2019 or later - [B25038_E003] + [B25038_E010]M15_18Occupied housing units Moved in 2015 to 2018 - [B25038_E004] + [B25038_E011]M10_14Occupied housing units Moved in 2010 to 2014 - [B25038_E005] + [B25038_E012]M00_09Occupied housing units Moved in 2000 to 2009 - [B25038_E006] + [B25038_E013]M90_99Occupied housing units Moved in 1990 to 1999 - [B25038_E007] + [B25038_E014]M89BEFOREOccupied housing units Moved in 1989 or earlier - [B25038_E008] + [B25038_E015]MO_19Owner Occupied housing units moved in 2019 or later - [B25038_E003]MO_15_18Owner Occupied housing units Moved in 2015 to 2018 - [B25038_E004]MO_10_14Owner Occupied housing units Moved in 2010 to 2014 - [B25038_E005]MO_00_09Owner Occupied housing units Moved in 2000 to 2009 - [B25038_E006]MO_90_99Owner Occupied housing units Moved in 1990 to 1999 - [B25038_E007]MO89BEFOREOwner Occupied housing units Moved in 1989 or earlier - [B25038_E008]MR_19Renter Occupied housing units moved in 2019 or later - [B25038_E010]MR_15_18Renter Occupied housing units Moved in 2015 to 2018 - [B25038_E011]MR_10_14Renter Occupied housing units Moved in 2010 to 2014 - [B25038_E012]MR_00_09Renter Occupied housing units Moved in 2000 to 2009 - [B25038_E013]MR_90_99Renter Occupied housing units Moved in 1990 to 1999 - [B25038_E014]MR89BEFORERenter Occupied housing units Moved in 1989 or earlier - [B25038_E015]MYTOTALMedian year householder moved into unit - Occupied Housing Units Total - [B25039_E001]MYOWNERMedian year householder moved into unit - Occupied Housing Units Owner - [B25039_E002]MYRENTERMedian year householder moved into unit - Occupied Housing Units Renter - [B25039_E003]VEHICLE_0Occupied Housing Units with No vehicle available - [B25044_E003] + [B25044_E010]VEHICLE_1Occupied Housing Units with 1 vehicle available - [B25044_E004] + [B25044_E011]VEHICLE_2Occupied Housing Units with 2 vehicles available - [B25044_E005] + [B25044_E012]VEHICLE_3Occupied Housing Units with 3 vehicles available - [B25044_E006] + [B25044_E013]VEHICLE_4Occupied Housing Units with 4 vehicles available - [B25044_E007] + [B25044_E014]VEHICLE5GOccupied Housing Units with 5 or more vehicles available - [B25044_E008] + [B25044_E015]S_TOTALAbility to Speak English for the Population 5+ Yrs Total - [B16004_E001]S_VERYWELLAbility 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_WELLAbility 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_NOTWELLAbility 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_NOTATALLAbility 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_ENGLISHAbility to Speak English for the Population 5+ Yrs Speak only English - [B16004_E003] + [B16004_E025] + [B16004_E047]S_SPANISHAbility to Speak English for the Population 5+ Yrs Speak Spanish - [B16004_E004] + [B16004_E026] + [B16004_E048]S_EUROPEAbility to Speak English for the Population 5+ Yrs Speak other Indo-European languages - [B16004_E009] + [B16004_E031] + [B16004_E053]S_ASIANAbility to Speak English for the Population 5+ Yrs Speak Asian and Pacific Island languages - [B16004_E014] + [B16004_E036] + [B16004_E058]S_OTHERAbility to Speak English for the Population 5+ Yrs Speak other languages - [B16004_E019] + [B16004_E041] + [B16004_E063]S_NOTVERYWELLAbility to Speak English for the Population 5+ Yrs, speak well, not well, or not at all - [s_well] + [s_notwell] + [s_notatall]S_NOTAbility to Speak English for the Population 5+ Yrs, not well, or not at all - [s_notwell] + [s_notatall]HL_TOTALTotal Households by Household Language by Household Limited English Speaking Status - [C16002_E001]HL_ENGLISHHouseholds 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_LHouseholds that speak Spanish: Limited English speaking household - [C16002_E004]HL_EURO_LHouseholds that speak Other Indo-European languages: Limited English speaking household - [C16002_E007]HL_ASIAN_LHouseholds that speak Asian and Pacific Island languages: Limited English speaking household - [C16002_E010]HL_OTHER_LHouseholds that speak Other languages: Limited English speaking household - [C16002_E013]LABOR_CIVCivilian Employed Population 16 Years And Over Total - [C24010_E001]RTOTALRatio of Income to Poverty Level in the Past 12 Months. Total population for whom Poverty Status is Determined - [C17002_E001]RU50Ratio of Income to Poverty Level in the Past 12 Months Under .50 - [C17002_E002]R50_99Ratio of Income to Poverty Level in the Past 12 Months .50 to .99 - [C17002_E003]R1_124Ratio of Income to Poverty Level in the Past 12 Months 1.00 to 1.24 - [C17002_E004]R125ABVRatio of Income to Poverty Level in the Past 12 Months 1.25 and over - [C17002_E005] + [C17002_E006] + [C17002_E007] + [C17002_E008]RU1Ratio of Income to Poverty Level in the Past 12 Months under 1 - [RU50] + [R50_99]RU2ABVRatio of Income to Poverty Level in the Past 12 Months 2.00 and over - [C17002_E008]DIS_TOTALPopulation 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_2064Population 20 to 64 Years with Income in the past 12 months below and above poverty level with a disability - [B23024_E003] + [B23024_E018]NO_DIS2064Population 20 to 64 Years with Income in the past 12 months below and above poverty level with No disability - [B23024_E010] + [B23024_E025]GMTOTGeographical 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]GMSAMEGeographical 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]GMDIFFGeographical 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]GMABROADGeographical 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_TOTALTypes of Computers in Household. Total Households - [B28001_E001]C_COMPUTERHouseholds 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_COMPHouseholds that have No Computer - [B28001_E011]I_TOTALPresence and Types of Internet Subscriptions in Household. Total Households. - [B28002_E001]I_INTERNETHouseholds with an Internet Subscription. Includes: Dial-up, Cellular, Broadband, Satellite, or Other - [B28002_E002]I_NO_SUBHouseholds with Internet Access without a Subscription - [B28002_E012]I_NO_NETHouseholds with no Internet Access - [B28002_E013]PCT_NOTWELPercent Ability to Speak English for the Population 5+ Yrs Speak English 'not well' - ([S_NOTWELL]/[S_TOTAL] * 100)PCT_NOTATAPercent Ability to Speak English for the Population 5+ Yrs Speak English 'not at all' - ([S_NOTATALL]/[S_TOTAL] * 100)DEN_NOTWELDensity per acre of Ability to Speak English for the Population 5+ Yrs Speak English 'not well' - [S_NOTWELL]/[ACRES]DEN_NOTATADensity per acre of Ability to Speak English for the Population 5+ Yrs Speak English 'not at all' - [S_NOTATALL]/[ACRES]PCT_BACHLRPercent Educational Attainment for the Population 25 Years and over Bachelor's degree only - ([BACHELORS]/[TOTALPOP] * 100)PCT_POVPercent Population with income in the past 12 months below poverty level - ([BELOW_POV]/[ABVE_BELW] * 100)PCT_RU50Percent Ratio of Income to Poverty Level in the Past 12 Months Under .50 - ([RU50]/[RTOTAL] * 100)PCT_R50_9RPercent atio of Income to Poverty Level in the Past 12 Months .50 to .99 - ([R50_99]/[RTOTAL] * 100)PCT_R125ABPercent Ratio of Income to Poverty Level in the Past 12 Months 1.25 and over - ([R125ABV]/[RTOTAL] * 100)PCT_RU1Percent Ratio of Income to Poverty Level in the Past 12 Months under 1 - ([RU1]/[RTOTAL] * 100)DEN_POPPopulation per acre - [TOTALPOP]/[ACRES]DEN_WHITEDensity per acre of Persons White alone - [WHITE]/[ACRES]DEN_BLACKDensity per acre of Persons Black or African American alone - [BLACK]/[ACRES]DEN_AMERIDensity per acre of Persons American Indian and Alaska Native alone - [AMERI_ES]/[ACRES]DEN_ASIANDensity per acre of Persons Asian alone - [ASIAN]/[ACRES]DEN_HAWNDensity per acre of Persons Native Hawaiian and Other Pacific Islander alone - [HAWN_PI]/[ACRES]DEN_OTHERDensity per acre of Persons Some other race alone - [OTHER]/[ACRES]DEN_MULTIDensity per acre of Persons Two or more races - [MULT_RACE]/[ACRES]DEN_HISPDensity per acre of Persons Hispanic or Latino - [HISPANIC]/[ACRES]DEN_DIS20Density per acre of Population 20 To 64 Years With a disability - [DIS_2064]/[ACRES]PCT_WHITEPercent of Persons White alone - ([WHITE] /[TOTALPOP] *100)PCT_BLACKPercent of Persons Black or African American alone - ([BLACK] /[TOTALPOP] *100)PCT_AMERIPercent of Persons American Indian and Alaska Native alone - ([AMERI_ES] /[TOTALPOP] *100)PCT_ASIANPercent of Persons Asian alone - ([ASIAN] /[TOTALPOP] *100)PCT_HAWNPercent of Persons Native Hawaiian and Other Pacific Islander alone - ([HAWN_PI] /[TOTALPOP] *100)PCT_OTHERPercent of Persons Some other race alone - ([OTHER] /[TOTALPOP] *100)PCT_MULTIPercent of Persons Two or more races - ([MULT_RACE] /[TOTALPOP] *100)PCT_HISPPercent of Persons Hispanic or Latino - ([HISPANIC] /[TOTALPOP] *100)PCT_DIS20Percent Population 20 To 64 Years With a disability - ([DIS_2064]/[DIS_TOTAL] * 100)DESCRIPTFGDLAQDATETIGERYEARDATAYEARAUTOIDSHAPE.AREASHAPE.LENFlorida Geographic Data Library (FGDL)mailing

431 Architecture PO Box 115706

GainesvilleFlorida32611-5706USMailing list for FGDL: http://www.fgdl.org/fgdl-l.htmlFor FGDL Software: http://www.fgdl.org/software.htmlTechnical Support: http://www.fgdl.org/fgdlfeed.htmlFGDL Frequently Asked Questions: http://www.fgdl.org/fgdlfaq.htmlWeb site: http://www.fgdl.orgDOWNLOADABLE DATAThe 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.htmlVector Digital Data Set (Polygon)20220426U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Geographic Products Branchmailing

4600 Silver Hill Road, Stop 7400

WashingtonD.C.20233-7400US301-763-1128301-763-4710geo.tiger@census.govFGDC Content Standard for Digital Geospatial MetadataFGDC-STD-001-1998local timeU.S. Department of Commerce, U.S. Census Bureau, Geography Division, Geographic Products Branch301-763-1128301-763-47104600 Silver Hill Road, Stop 7400WashingtonD.C.20233-7400USgeo.tiger@census.gov20220426ArcGIS Metadata1.0Florida Geographic Data Library (FGDL)431 Architecture PO Box 115706GainesvilleFlorida32611-5706USMailing list for FGDL: http://www.fgdl.org/fgdl-l.htmlFor FGDL Software: http://www.fgdl.org/software.htmlWeb site: http://www.fgdl.orgTechnical Support: http://www.fgdl.org/fgdlfeed.htmlFGDL Frequently Asked Questions: http://www.fgdl.org/fgdlfaq.htmlVector Digital Data Set (Polygon)DOWNLOADABLE DATAwww.census.govCounty Boundaries in Florida (With Selected Fields From The 2016-2020 American Community Survey)2022-03-17U.S. Census BureauWashington, D.C.U.S. Census BureauVector Digital Data Set (Polygon)State of FloridaThis dataset contains the US Census Bureau 2015 Census County Boundaries 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 county 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. 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 County geography level. The data contains selected fields from the 2016-2020 ACS.U.S. Census Bureau(301) 763-4039(301) 763-43484600 Silver Hill Road, Stop 7400Washington, D.C.20233-7400UShttp://www.census.gov/Floridablock groupsocietyboundariesISO 19115 Topic CategorypopulationeducationsocioeconomiceconomichousingISO 19115 Topic CategorysocietypopulationeducationsocioeconomicFloridaboundarieseconomichousingblock groupThe 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.htmlThe 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.htmlAdditional documentation can be found here: https://www.census.gov/programs-surveys/acs/technical-documentation/pums/documentation.htmlVersion 6.2 (Build 9200) ; Esri ArcGIS 10.8.1.14362publication date2016-01-012020-12-31-87.639356-79.87225124.48032831.042639This data is provided 'as is'. GeoPlan relied on the integrity of the original data layer's topologyThis data is provided 'as is'. GeoPlan relied on the integrity of the original data layer's topologyThis 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 GeoPlanThis data is provided 'as is' and its vertical positional accuracy has not been verified by GeoPlanCounty Boundaries were taken from FGDL layer CNTBND_SEP15. 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 CNTBND_SEP15 to CNTDEM_ACS_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. 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