20221227 16042300 1.0 FALSE CNTDEM_ACS_2021 ArcSDE Connection 002 52654.870000793990.76000059428.990000781582.5000001 Projected GCS_North_American_1983_HARN Linear Unit: Meter (1.000000) NAD_1983_HARN_Florida_GDL_Albers <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/10.8'><WKT>PROJCS[&quot;NAD_1983_HARN_Florida_GDL_Albers&quot;,GEOGCS[&quot;GCS_North_American_1983_HARN&quot;,DATUM[&quot;D_North_American_1983_HARN&quot;,SPHEROID[&quot;GRS_1980&quot;,6378137.0,298.257222101]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433]],PROJECTION[&quot;Albers&quot;],PARAMETER[&quot;False_Easting&quot;,400000.0],PARAMETER[&quot;False_Northing&quot;,0.0],PARAMETER[&quot;Central_Meridian&quot;,-84.0],PARAMETER[&quot;Standard_Parallel_1&quot;,24.0],PARAMETER[&quot;Standard_Parallel_2&quot;,31.5],PARAMETER[&quot;Latitude_Of_Origin&quot;,24.0],UNIT[&quot;Meter&quot;,1.0],AUTHORITY[&quot;EPSG&quot;,3087]]</WKT><XOrigin>-19550100</XOrigin><YOrigin>-7526400</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>3087</WKID><LatestWKID>3087</LatestWKID></ProjectedCoordinateSystem> 20230127 12090000 20230127 12090000 500000 5000 dataset U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Geographic Products Branch 301-763-1128 301-763-4710 4600 Silver Hill Road, Stop 7400 Washington D.C. 20233-7400 US geo.tiger@census.gov 20230127 ArcGIS Metadata 1.0 Florida Geographic Data Library (FGDL) 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 Vector Digital Data Set (Polygon) DOWNLOADABLE DATA withheld SDE Feature Class County Boundaries in Florida (With Selected Fields From The 2017-2021 American Community Survey) 2023-01-27T00:00:00 U.S. Census Bureau Washington, D.C. U.S. Census Bureau Vector Digital Data Set (Polygon) State of Florida <DIV STYLE="text-align:Left;"><DIV><P><SPAN>This dataset contains the US Census Bureau 2015 Census County Boundaries for the State of Florida with selected fields from the 2017-2021 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.</SPAN></P></DIV></DIV> For the research and analysis of the 2017-2021 American Community Survey (ACS) at the Census County geography level. The data contains selected fields from the 2017-2021 ACS. 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/ block group Florida ISO 19115 Topic Category housing socioeconomic economic education population ISO 19115 Topic Category boundaries society block group housing socioeconomic Florida boundaries economic society education population 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 <DIV STYLE="text-align:Left;"><DIV><P><SPAN>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</SPAN></P></DIV></DIV> Additional documentation can be found here: https://www.census.gov/programs-surveys/acs/technical-documentation/pums/documentation.html Esri ArcGIS 13.0.3.36057 -87.639356 -79.872251 24.480328 31.042639 Publication Date 2017-01-01T00:00:00 2021-12-31T00:00:00 1-87.639356-79.87225131.04263924.480328 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 Spatial and Attribute Information 100000 County 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/2021/table-based-SF/data. date downloaded: 12/15/22. Changed name from CNTBND_SEP15 to CNTDEM_ACS_2021. 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 2023-01-27T00:00:00 GeoPlan external 786dcbb2ef2a12674391f92d21d5616b2e69f87e University of Florida GeoPlan Center True University of Florida GeoPlan Center 67 EPSG 6.13(9.2.0) CNTDEM_ACS_2021 CNTDEM_ACS_2021 U.S. Census Bureau Feature Class 67 OBJECTID Internal feature number. Esri Sequential unique whole numbers that are automatically generated. OBJECTID OID 4 10 0 SHAPE Feature geometry. ESRI Coordinates defining the features. SHAPE Geometry 4 0 0 TIGERNAME County name taken from TIGER data. TIGERNAME String 100 0 0 NAME County Name NAME String 32 0 0 FGDLCODE County Code used by FGDL (coincides with alphabetical order) FGDLCODE String 32 0 0 FIPS FIPS Code FIPS String 3 0 0 COASTAL If the county is coastal COASTAL String 1 0 0 GEOID20 Block identifier; a concatenation of Census state Federal Information Processing Standards (FIPS) code, county FIPS code GEOID20 String 12 0 0 ACRES Acres ACRES Double 8 38 8 FILEID FILEID String 5 0 0 Census File ID STUSAB STUSAB String 2 0 0 2 letter state code SUMLEVEL SUMLEVEL Double 8 38 8 Census geographic summary level STATE STATE Double 8 38 8 State COUNTY COUNTY Double 8 38 8 County TOTALPOPTOTALPOPInteger4100Total Population - [B01003_E001] HOUSEHOLDSHOUSEHOLDSInteger4100Total: Households (Includes Living Alone) - [B11001_E001] MALEMALEInteger4100Population Male - [B01001_E002] FEMALEFEMALEInteger4100Population Female - [B01001_E026] WHITEWHITEInteger4100Population White alone - [B02001_E002] BLACKBLACKInteger4100Population Black or African American alone - [B02001_E003] AMERI_ESAMERI_ESInteger4100Population American Indian and Alaska Native alone - [B02001_E004] ASIANASIANInteger4100Population Asian alone - [B02001_E005] HAWN_PIHAWN_PIInteger4100Population Native Hawaiian and Other Pacific Islander alone - [B02001_E006] OTHEROTHERInteger4100Population Some other race alone - [B02001_E007] MULT_RACEMULT_RACEInteger4100Population Two or more races - [B02001_E008] HISPANICHISPANICInteger4100Population Hispanic or Latino by Race - [B03002_E012] WHITE_NHWHITE_NHInteger4100Not Hispanic or Latino: White alone - [B03002_E003] HISPNC_NOTHISPNC_NOTInteger4100Total Population minus Hispanic Population - [TOTALPOP] - [HISPANIC] MINORITYMINORITYInteger4100"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_SZAVE_HH_SZDouble8388Average household size Total: Average Household Size of Occupied Housing Units by Tenure - [B25010_E001] PH_TOTALPH_TOTALInteger4100Total: Household Type by Relatives and Nonrelatives for Population in Households - [B11002_E001] PH_FAMPH_FAMInteger4100Population in family households - [B11002_E002] PH_NONFAMPH_NONFAMInteger4100Population in nonfamily households - [B11002_E012] FAM_HHFAM_HHInteger4100Family households - [B11001_E002] AVE_FAM_SZAVE_FAM_SZDouble8388Average family size (Total Population In family households/Family households) - [PH_FAM]/[FAM_HH] AGE_UNDER5AGE_UNDER5Integer4100Population Under 5 years - [B01001_E003] + [B01001_E027] AGE_5_17AGE_5_17Integer4100Population 5 to 17 years - [B01001_E004] + [B01001_E028] + [B01001_E005] + [B01001_E029] + [B01001_E006] + [B01001_E030] AGE_18_21AGE_18_21Integer4100Population 18 to 21 years - [B01001_E007] + [B01001_E031] + [B01001_E008] + [B01001_E032] + [B01001_E009] + [B01001_E033] AGE_22_29AGE_22_29Integer4100Population 22 to 29 years - [B01001_E010] + [B01001_E034] + [B01001_E011] + [B01001_E035] AGE_30_39AGE_30_39Integer4100Population 30 to 39 years - [B01001_E012] + [B01001_E036] + [B01001_E013] + [B01001_E037] AGE_40_49AGE_40_49Integer4100Population 40 to 49 years - [B01001_E014] + [B01001_E038] + [B01001_E015] + [B01001_E039] AGE_50_64AGE_50_64Integer4100Population 50 to 64 years - [B01001_E016] + [B01001_E040] + [B01001_E017] + [B01001_E041] + [B01001_E018] + [B01001_E042] + [B01001_E019] + [B01001_E043] AGE_65_UPAGE_65_UPInteger4100Population 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_74AGE_65_74Integer4100Population 65 to 74 years - [B01001_E020] + [B01001_E044] + [B01001_E021] + [B01001_E045] + [B01001_E022] + [B01001_E046] AGE_75_84AGE_75_84Integer4100Population 75 to 84 years - [B01001_E023] + [B01001_E047] + [B01001_E024] + [B01001_E048] AGE_85_UPAGE_85_UPInteger4100Population 85 years and over - [B01001_E025] + [B01001_E049] MED_AGEMED_AGEDouble8388Median age for population - [B01002_E001] HABVBELOWHABVBELOWInteger4100Households Total: households for poverty status in the past 12 months by household type by age of householder - [B17017_E001] HBELOW_POVHBELOW_POVInteger4100Households with income in the past 12 months below poverty level - [B17017_E002] HABOVE_POVHABOVE_POVInteger4100Households with income in the past 12 months at or above poverty level - [B17017_E031] ABVE_BELWABVE_BELWInteger4100Population Total: Poverty Status of Individuals in the Past 12 Months by Living Arrangement - [B17021_E001] ABOVE_POVABOVE_POVInteger4100Population with income in the past 12 months at or above poverty level - [B17021_E019] BELOW_POVBELOW_POVInteger4100Population with income in the past 12 months below poverty level - [B17021_E002] ED_TOTALED_TOTALInteger4100Population Total: Sex by Educational Attainment for the Population 25 Years and over - [B15002_E001] ED_LESS9THED_LESS9THInteger4100Educational 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_12NODIPED_12NODIPInteger4100Educational 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] HSGRADHSGRADInteger4100Educational 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_SOMECOLED_SOMECOLInteger4100Educational 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_COLLEGEED_COLLEGEInteger4100Educational 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] BACHELORSBACHELORSInteger4100Educational Attainment for the Population 25 Years and over Bachelor's degree only - [B15002_E015] + [B15002_E032] HSE_UNITSHSE_UNITSInteger4100Total Housing Units - [B25001_E001] HS_PER_ACHS_PER_ACDouble8388Housing units per acre - [HSE_UNITS]/[ACRES] VACANTVACANTInteger4100Total Vacant housing units - [B25004_E001] TRAN_TOTALTRAN_TOTALInteger4100Means of Transportation to Work Total, workers 16 years and over - [B08301_E001] TRAN_CARTRAN_CARInteger4100Means of Transportation to Work Car, truck, or van - [B08301_E002] TRAN_MOTOTRAN_MOTOInteger4100Means of Transportation to Work Motorcycle - [B08301_E017] TRAN_BIKETRAN_BIKEInteger4100Means of Transportation to Work Bicycle - [B08301_E018] TRAN_PUBTRAN_PUBInteger4100Means of Transportation to Work Public transportation (excluding taxicab) - [B08301_E010] TRAN_WALKTRAN_WALKInteger4100Means of Transportation to Work Walked - [B08301_E019] TRAN_OTHERTRAN_OTHERInteger4100Means of Transportation to Work Other means - [B08301_E020] TRAN_HOMETRAN_HOMEInteger4100Means of Transportation to Work Worked at home - [B08301_E021] ENROLLEDENROLLEDInteger4100Population 3 Years And Over Enrolled In School - [B14002_E003] + [B14002_E027] NOT_ENROLDNOT_ENROLDInteger4100Population 3 Years And Over Not enrolled in school - [B14002_E025] + [B14002_E049] LESS_10KLESS_10KInteger4100Number of Households with Household Income in The Past 12 Months Less than $10,000 (in 2021 Inflation-Adjusted Dollars) - [B19001_E002] I10K_14KI10K_14KInteger4100Number of Households with Household Income in The Past 12 Months $10,000 to $14,999 (in 2021 Inflation-Adjusted Dollars) - [B19001_E003] I15K_19KI15K_19KInteger4100Number of Households with Household Income in The Past 12 Months $15,000 to $19,999 (in 2021 Inflation-Adjusted Dollars) - [B19001_E004] I20K_24KI20K_24KInteger4100Number of Households with Household Income in The Past 12 Months $20,000 to $24,999 (in 2021 Inflation-Adjusted Dollars) - [B19001_E005] I25K_29KI25K_29KInteger4100Number of Households with Household Income in The Past 12 Months $25,000 to $29,999 (in 2021 Inflation-Adjusted Dollars) - [B19001_E006] I30K_34KI30K_34KInteger4100Number of Households with Household Income in The Past 12 Months $30,000 to $34,999 (in 2021 Inflation-Adjusted Dollars) - [B19001_E007] I35K_39KI35K_39KInteger4100Number of Households with Household Income in The Past 12 Months $35,000 to $39,999 (in 2021 Inflation-Adjusted Dollars) - [B19001_E008] I40K_44KI40K_44KInteger4100Number of Households with Household Income in The Past 12 Months $40,000 to $44,999 (in 2021 Inflation-Adjusted Dollars) - [B19001_E009] I45K_49KI45K_49KInteger4100Number of Households with Household Income in The Past 12 Months $45,000 to $49,999 (in 2021 Inflation-Adjusted Dollars) - [B19001_E010] I50K_59KI50K_59KInteger4100Number of Households with Household Income in The Past 12 Months $50,000 to $59,999 (in 2021 Inflation-Adjusted Dollars) - [B19001_E011] I60K_74KI60K_74KInteger4100Number of Households with Household Income in The Past 12 Months $60,000 to $74,999 (in 2021 Inflation-Adjusted Dollars) - [B19001_E012] I75K_99KI75K_99KInteger4100Number of Households with Household Income in The Past 12 Months $75,000 to $99,999 (in 2021 Inflation-Adjusted Dollars) - [B19001_E013] I100K_124KI100K_124KInteger4100Number of Households with Household Income in The Past 12 Months $100,000 to $124,999 (in 2021 Inflation-Adjusted Dollars) - [B19001_E014] I125K_149KI125K_149KInteger4100Number of Households with Household Income in The Past 12 Months $125,000 to $149,999 (in 2021 Inflation-Adjusted Dollars) - [B19001_E015] I150K_199KI150K_199KInteger4100Number of Households with Household Income in The Past 12 Months $150,000 to $199,999 (in 2021 Inflation-Adjusted Dollars) - [B19001_E016] I200KMOREI200KMOREInteger4100Number of Households with Household Income in The Past 12 Months $200,000 or more (in 2021 Inflation-Adjusted Dollars) - [B19001_E017] MEDHHINCMEDHHINCInteger4100Median household income in the past 12 months (in 2021 inflation-adjusted dollars) - [B19013_E001] MEDFINCOMEMEDFINCOMEInteger4100Median family income in the past 12 months (in 2021 inflation-adjusted dollars) - [B19113_E001] HH_NOPUBAHH_NOPUBAInteger4100Households with No public assistance income - [B19057_E003] HH_PUBAHH_PUBAInteger4100Households with public assistance income - [B19057_E002] MEDOOHVALMEDOOHVALInteger4100Median value (dollars) Owner-occupied housing units - [B25077_E001] H1ATTACHH1ATTACHInteger4100Housing Units in Structure 1, attached - [B25024_E003] H1DETACHH1DETACHInteger4100Housing Units in Structure 1, detached - [B25024_E002] H2UNITH2UNITInteger4100Housing Units in Structure 2 - [B25024_E004] H3_4UNITH3_4UNITInteger4100Housing Units in Structure 3 or 4 - [B25024_E005] H5_9UNITH5_9UNITInteger4100Housing Units in Structure 5 to 9 - [B25024_E006] H10_19UNITH10_19UNITInteger4100Housing Units in Structure 10 to 19 - [B25024_E007] H20_49UNITH20_49UNITInteger4100Housing Units in Structure 20 to 49 - [B25024_E008] H50MOREH50MOREInteger4100Housing Units in Structure 50 or more - [B25024_E009] MOBILEMOBILEInteger4100Housing Units in Structure Mobile home - [B25024_E010] OTHERHOUSEOTHERHOUSEInteger4100Housing Units in Structure Boat, RV, van, etc. - [B25024_E011] H_SFH_SFInteger4100Single Family - [H1ATTACH]+ [H1DETACH] H_MFH_MFInteger4100Mulit Family - [H2UNIT] + [H3_4UNIT] + [H5_9UNIT] + [H10_19UNIT] + [H20_49UNIT] + [H50MORE] OWNEROWNERInteger4100Owner occupied housing units - [B25038_E002] RENTERRENTERInteger4100Renter occupied housing units - [B25038_E009] OWN_19OWN_19Integer4100Owner occupied housing units Moved in 2019 or later - [B25038_E003] RENT_19RENT_19Integer4100Renter occupied housing units Moved in 2019 or later - [B25038_E010] B20B20Integer4100Housing Units Built 2020 or later - [B25034_E002] B10_19B10_19Integer4100Housing Units Built 2010 to 2019 - [B25034_E003] B00_09B00_09Integer4100Housing Units Built 2000 to 2009 - [B25034_E004] B90_99B90_99Integer4100Housing Units Built 1990 to 1999 - [B25034_E005] B80_89B80_89Integer4100Housing Units Built 1980 to 1989 - [B25034_E006] B70_79B70_79Integer4100Housing Units Built 1970 to 1979 - [B25034_E007] B60_69B60_69Integer4100Housing Units Built 1960 to 1969 - [B25034_E008] B50_59B50_59Integer4100Housing Units Built 1950 to 1959 - [B25034_E009] B40_49B40_49Integer4100Housing Units Built 1940 to 1949 - [B25034_E010] BEFORE39BEFORE39Integer4100Housing Units Built 1939 or earlier - [B25034_E011] M19M19Integer4100Occupied housing units moved in 2019 or later - [B25038_E003] + [B25038_E010] M15_18M15_18Integer4100Occupied housing units Moved in 2015 to 2018 - [B25038_E004] + [B25038_E011] M10_14M10_14Integer4100Occupied housing units Moved in 2010 to 2014 - [B25038_E005] + [B25038_E012] M00_09M00_09Integer4100Occupied housing units Moved in 2000 to 2009 - [B25038_E006] + [B25038_E013] M90_99M90_99Integer4100Occupied housing units Moved in 1990 to 1999 - [B25038_E007] + [B25038_E014] M89BEFOREM89BEFOREInteger4100Occupied housing units Moved in 1989 or earlier - [B25038_E008] + [B25038_E015] MO_19MO_19Integer4100Owner Occupied housing units moved in 2019 or later - [B25038_E003] MO_15_18MO_15_18Integer4100Owner Occupied housing units Moved in 2015 to 2018 - [B25038_E004] MO_10_14MO_10_14Integer4100Owner Occupied housing units Moved in 2010 to 2014 - [B25038_E005] MO_00_09MO_00_09Integer4100Owner Occupied housing units Moved in 2000 to 2009 - [B25038_E006] MO_90_99MO_90_99Integer4100Owner Occupied housing units Moved in 1990 to 1999 - [B25038_E007] MO89BEFOREMO89BEFOREInteger4100Owner Occupied housing units Moved in 1989 or earlier - [B25038_E008] MR_19MR_19Integer4100Renter Occupied housing units moved in 2019 or later - [B25038_E010] MR_15_18MR_15_18Integer4100Renter Occupied housing units Moved in 2015 to 2018 - [B25038_E011] MR_10_14MR_10_14Integer4100Renter Occupied housing units Moved in 2010 to 2014 - [B25038_E012] MR_00_09MR_00_09Integer4100Renter Occupied housing units Moved in 2000 to 2009 - [B25038_E013] MR_90_99MR_90_99Integer4100Renter Occupied housing units Moved in 1990 to 1999 - [B25038_E014] MR89BEFOREMR89BEFOREInteger4100Renter Occupied housing units Moved in 1989 or earlier - [B25038_E015] MYTOTALMYTOTALInteger4100Median year householder moved into unit - Occupied Housing Units Total - [B25039_E001] MYOWNERMYOWNERInteger4100Median year householder moved into unit - Occupied Housing Units Owner - [B25039_E002] MYRENTERMYRENTERInteger4100Median year householder moved into unit - Occupied Housing Units Renter - [B25039_E003] VEHICLE_0VEHICLE_0Integer4100Occupied Housing Units with No vehicle available - [B25044_E003] + [B25044_E010] VEHICLE_1VEHICLE_1Integer4100Occupied Housing Units with 1 vehicle available - [B25044_E004] + [B25044_E011] VEHICLE_2VEHICLE_2Integer4100Occupied Housing Units with 2 vehicles available - [B25044_E005] + [B25044_E012] VEHICLE_3VEHICLE_3Integer4100Occupied Housing Units with 3 vehicles available - [B25044_E006] + [B25044_E013] VEHICLE_4VEHICLE_4Integer4100Occupied Housing Units with 4 vehicles available - [B25044_E007] + [B25044_E014] VEHICLE5GVEHICLE5GInteger4100Occupied Housing Units with 5 or more vehicles available - [B25044_E008] + [B25044_E015] S_TOTALS_TOTALInteger4100Ability to Speak English for the Population 5+ Yrs Total - [B16004_E001] S_VERYWELLS_VERYWELLInteger4100Ability 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_WELLS_WELLInteger4100Ability 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_NOTWELLS_NOTWELLInteger4100Ability 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_NOTATALLS_NOTATALLInteger4100Ability 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_ENGLISHS_ENGLISHInteger4100Ability to Speak English for the Population 5+ Yrs Speak only English - [B16004_E003] + [B16004_E025] + [B16004_E047] S_SPANISHS_SPANISHInteger4100Ability to Speak English for the Population 5+ Yrs Speak Spanish - [B16004_E004] + [B16004_E026] + [B16004_E048] S_EUROPES_EUROPEInteger4100Ability to Speak English for the Population 5+ Yrs Speak other Indo-European languages - [B16004_E009] + [B16004_E031] + [B16004_E053] S_ASIANS_ASIANInteger4100Ability to Speak English for the Population 5+ Yrs Speak Asian and Pacific Island languages - [B16004_E014] + [B16004_E036] + [B16004_E058] S_OTHERS_OTHERInteger4100Ability to Speak English for the Population 5+ Yrs Speak other languages - [B16004_E019] + [B16004_E041] + [B16004_E063] S_NOTVERYWELLS_NOTVERYWELLInteger4100Ability to Speak English for the Population 5+ Yrs, speak well, not well, or not at all - [s_well] + [s_notwell] + [s_notatall] S_NOTS_NOTInteger4100Ability to Speak English for the Population 5+ Yrs, not well, or not at all - [s_notwell] + [s_notatall] HL_TOTALHL_TOTALInteger4100Total Households by Household Language by Household Limited English Speaking Status - [C16002_E001] HL_ENGLISHHL_ENGLISHInteger4100Households 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_LHL_SPAN_LInteger4100Households that speak Spanish: Limited English speaking household - [C16002_E004] HL_EURO_LHL_EURO_LInteger4100Households that speak Other Indo-European languages: Limited English speaking household - [C16002_E007] HL_ASIAN_LHL_ASIAN_LInteger4100Households that speak Asian and Pacific Island languages: Limited English speaking household - [C16002_E010] HL_OTHER_LHL_OTHER_LInteger4100Households that speak Other languages: Limited English speaking household - [C16002_E013] LABOR_CIVLABOR_CIVInteger4100Civilian Employed Population 16 Years And Over Total - [C24010_E001] RTOTALRTOTALInteger4100Ratio of Income to Poverty Level in the Past 12 Months. Total population for whom Poverty Status is Determined - [C17002_E001] RU50RU50Integer4100Ratio of Income to Poverty Level in the Past 12 Months Under .50 - [C17002_E002] R50_99R50_99Integer4100Ratio of Income to Poverty Level in the Past 12 Months .50 to .99 - [C17002_E003] R1_124R1_124Integer4100Ratio of Income to Poverty Level in the Past 12 Months 1.00 to 1.24 - [C17002_E004] R125ABVR125ABVInteger4100Ratio of Income to Poverty Level in the Past 12 Months 1.25 and over - [C17002_E005] + [C17002_E006] + [C17002_E007] + [C17002_E008] RU1RU1Integer4100Ratio of Income to Poverty Level in the Past 12 Months under 1 - [RU50] + [R50_99] RU2ABVRU2ABVInteger4100Ratio of Income to Poverty Level in the Past 12 Months 2.00 and over - [C17002_E008] DIS_TOTALDIS_TOTALInteger4100Population 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_2064DIS_2064Integer4100Population 20 to 64 Years with Income in the past 12 months below and above poverty level with a disability - [B23024_E003] + [B23024_E018] NO_DIS2064NO_DIS2064Integer4100Population 20 to 64 Years with Income in the past 12 months below and above poverty level with No disability - [B23024_E010] + [B23024_E025] GMTOTGMTOTInteger4100Geographical 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] GMSAMEGMSAMEInteger4100Geographical 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] GMDIFFGMDIFFInteger4100Geographical 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] GMABROADGMABROADInteger4100Geographical 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_TOTALC_TOTALInteger4100Types of Computers in Household. Total Households - [B28001_E001] C_COMPUTERC_COMPUTERInteger4100Households 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_COMPC_NO_COMPInteger4100Households that have No Computer - [B28001_E011] I_TOTALI_TOTALInteger4100Presence and Types of Internet Subscriptions in Household. Total Households. - [B28002_E001] I_INTERNETI_INTERNETInteger4100Households with an Internet Subscription. Includes: Dial-up, Cellular, Broadband, Satellite, or Other - [B28002_E002] I_NO_SUBI_NO_SUBInteger4100Households with Internet Access without a Subscription - [B28002_E012] I_NO_NETI_NO_NETInteger4100Households with no Internet Access - [B28002_E013] PCT_NOTWELPCT_NOTWELDouble8388Percent Ability to Speak English for the Population 5+ Yrs Speak English 'not well' - ([S_NOTWELL]/[S_TOTAL] * 100) PCT_NOTATAPCT_NOTATADouble8388Percent Ability to Speak English for the Population 5+ Yrs Speak English 'not at all' - ([S_NOTATALL]/[S_TOTAL] * 100) DEN_NOTWELDEN_NOTWELDouble8388Density per acre of Ability to Speak English for the Population 5+ Yrs Speak English 'not well' - [S_NOTWELL]/[ACRES] DEN_NOTATADEN_NOTATADouble8388Density per acre of Ability to Speak English for the Population 5+ Yrs Speak English 'not at all' - [S_NOTATALL]/[ACRES] PCT_BACHLRPCT_BACHLRDouble8388Percent Educational Attainment for the Population 25 Years and over Bachelor's degree only - ([BACHELORS]/[TOTALPOP] * 100) PCT_POVPCT_POVDouble8388Percent Population with income in the past 12 months below poverty level - ([BELOW_POV]/[ABVE_BELW] * 100) PCT_RU50PCT_RU50Double8388Percent Ratio of Income to Poverty Level in the Past 12 Months Under .50 - ([RU50]/[RTOTAL] * 100) PCT_R50_9PCT_R50_9Double8388RPercent atio of Income to Poverty Level in the Past 12 Months .50 to .99 - ([R50_99]/[RTOTAL] * 100) PCT_R125ABPCT_R125ABDouble8388Percent Ratio of Income to Poverty Level in the Past 12 Months 1.25 and over - ([R125ABV]/[RTOTAL] * 100) PCT_RU1PCT_RU1Double8388Percent Ratio of Income to Poverty Level in the Past 12 Months under 1 - ([RU1]/[RTOTAL] * 100) DEN_POPDEN_POPDouble8388Population per acre - [TOTALPOP]/[ACRES] DEN_WHITEDEN_WHITEDouble8388Density per acre of Persons White alone - [WHITE]/[ACRES] DEN_BLACKDEN_BLACKDouble8388Density per acre of Persons Black or African American alone - [BLACK]/[ACRES] DEN_AMERIDEN_AMERIDouble8388Density per acre of Persons American Indian and Alaska Native alone - [AMERI_ES]/[ACRES] DEN_ASIANDEN_ASIANDouble8388Density per acre of Persons Asian alone - [ASIAN]/[ACRES] DEN_HAWNDEN_HAWNDouble8388Density per acre of Persons Native Hawaiian and Other Pacific Islander alone - [HAWN_PI]/[ACRES] DEN_OTHERDEN_OTHERDouble8388Density per acre of Persons Some other race alone - [OTHER]/[ACRES] DEN_MULTIDEN_MULTIDouble8388Density per acre of Persons Two or more races - [MULT_RACE]/[ACRES] DEN_HISPDEN_HISPDouble8388Density per acre of Persons Hispanic or Latino - [HISPANIC]/[ACRES] DEN_DIS20DEN_DIS20Double8388Density per acre of Population 20 To 64 Years With a disability - [DIS_2064]/[ACRES] PCT_WHITEPCT_WHITEDouble8388Percent of Persons White alone - ([WHITE] /[TOTALPOP] *100) PCT_BLACKPCT_BLACKDouble8388Percent of Persons Black or African American alone - ([BLACK] /[TOTALPOP] *100) PCT_AMERIPCT_AMERIDouble8388Percent of Persons American Indian and Alaska Native alone - ([AMERI_ES] /[TOTALPOP] *100) PCT_ASIANPCT_ASIANDouble8388Percent of Persons Asian alone - ([ASIAN] /[TOTALPOP] *100) PCT_HAWNPCT_HAWNDouble8388Percent of Persons Native Hawaiian and Other Pacific Islander alone - ([HAWN_PI] /[TOTALPOP] *100) PCT_OTHERPCT_OTHERDouble8388Percent of Persons Some other race alone - ([OTHER] /[TOTALPOP] *100) PCT_MULTIPCT_MULTIDouble8388Percent of Persons Two or more races - ([MULT_RACE] /[TOTALPOP] *100) PCT_HISPPCT_HISPDouble8388Percent of Persons Hispanic or Latino - ([HISPANIC] /[TOTALPOP] *100) PCT_DIS20PCT_DIS20Double8388Percent Population 20 To 64 Years With a disability - ([DIS_2064]/[DIS_TOTAL] * 100) DESCRIPT DESCRIPT String 12 0 0 FGDLAQDATE FGDLAQDATE Date 8 0 0 TIGERYEAR TIGERYEAR String 25 0 0 DATAYEAR DATAYEAR String 25 0 0 AUTOIDAUTOIDInteger4100SHAPE.AREASHAPE.AREADouble000SHAPE.LENSHAPE.LENDouble000 SimpleFALSE67TRUEFALSE/9j/4AAQSkZJRgABAQEAAAAAAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy 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