University of Florida GeoPlan Center 20090401 vector digital data Gainesville, Florida University of Florida GeoPlan Center State of Florida http://www.fgdl.org 2004; 2009 This dataset contains a sample of data from the 2004 and 2009 Florida Statistical Abstract by county for all Florida counties. Included in the sample population profile are: components of population change from April 1, 2000 to April 1, 2009; land area (2000) and population density for April 1, 2009; general population projections for 2010 through 2035 (from 2009 population profile); and population projections by age group for 2010 through 2030 (2003 population profile). In addition to this, this dataset also contains historical population data for each county dating back to 1830. To display spatial and attribute data of the 2004 Florida Statistical Abstract Population Profile by county for all Florida counties, in addition to USCB historical county-wide population data. Note that the UND18_2010, A1864_2010, OVR65_2010, UND18_2030, A1864_2030, and OVR65_2030 fields have not been updated. These values represent data from the 2004 Florida Statistical Abstract document. For updates of these values please refer to http://www.bebr.ufl.edu/ for ordering instructions. Note: 1/ Natural increase is calculated as the difference between the number of births and the number of deaths; net migration is calculated as the difference between total population change and natural increase. Vital statistics data for persons of unreported residence are included only in the entries for the state. For this reason, natural increase and net migration columns may not add to their state totals. Census data has been revised. Source: University of Florida, Bureau of Economic and Business Research, Population Program, Florida Estimates of Population, April 1, 2003. Census data from U.S. Bureau of the Census. Note: The medium projection is the one we believe is most likely to provide an accurate forecast of future population. The high and low projections indicate the range in which future populations are likely to fall. They do not represent absolute limits to growth; for any county, the future population may be above the high projection or below the low projection. If future distributions of errors are similar to past distributions, however, future populations will fall between high and low projections in approximately two-thirds of Florida's counties. For a detailed description of projection methodology, see the source. Source: University of Florida, Bureau of Economic and Business Research, Population Program, Florida Population Studies, February 2004, Volume 37, No. 2, Bulletin No. 138. Note: (X) Not applicable. 1/ Land area figures represent the total area in the counties in 2000 and are not adjusted for lands which cannot be developed (government-owned parks or reserves) or are uninhabitable (swamps or marshes). Source: University of Florida, Bureau of Economic and Business Research, Population Program, Florida Estimates of Population, April 1, 2003. Census data from U.S. Bureau of the Census. unknown 20090401 publication date Complete As needed -87.639385 -79.872251 31.042641 24.480328 None BEBR Population Profile Projections Historical County USCB None Florida None THE DATA INCLUDED IN FGDL ARE 'AS IS' AND SHOULD NOT BE CONSTRUED AS LEGALLY BINDING. 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 Florida Geographic Data Library (FGDL) mailing

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Gainesville Florida 32611-5706 FGDL Mailing Lists: http://www.fgdl.org/fgdl-l.html Web site: http://www.fgdl.org For FGDL Software: http://www.fgdl.org/software.html FGDL Frequently Asked Questions: http://www.fgdl.org/fgdlfaq.html Technical Support: http://www.fgdl.org/fgdlfeed.html Florida Statistical Abstract 2004 - Thirty-eighth Edition by the Bureau of Economic and Business Research (BEBR), Warrington College of Business, University of Florida. Florida Statistical Abstract 2009 - Forty-Third Edition by the Bureau of Economic and Business Research (BEBR), Warrington College of Business Administration, University of Florida. Version 6.2 (Build 9200) ; Esri ArcGIS 10.7.1.11595 Bureau of Economic and Business Research: http://www.bebr.ufl.edu Source: University of Florida, Bureau of Economic and Business Research, Population Program, Florida Estimates of Population, Source: University of Florida, Bureau of Economic and Business Research, Population Program, Florida Population Studies, February 2004, Volume 37, No. 2, Bulletin No. 138. Source: University of Florida, Bureau of Economic and Business Research, Population Program, Florida Population Studies, July 2004, Volume 37, No. 3, Bulletin No. 139. Source: Florida Statistical Abstract 2009 - Forty-Third Edition by the Bureau of Economic and Business Research (BEBR), Warrington College of Business Administration, University of Florida. Source: US Census Bureau http://www2.census.gov/prod2/decennial/documents/1890a_v1-06.pdf Source: US Census Bureau http://www.census.gov/population/cencounts/fl190090.txt GeoPlan relied on the integrity of the attribute information within the original data. Relied on the integrity of the attribute information within the original data layer. Relied on the integrity of the attribute information within the original data layer. 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 US Bureau of the Census - Population Division 19950327 spreadsheet Washington, DC USCB Compiled and edited by Richard L. Forstall Please see file, 1900-90.doc for explanatory notes and documentation. http://www.census.gov/population/cencounts/fl190090.txt None 19950327 publication date USCB Spatial and Attribute Information Florida Department of Environmental Protection unknown vector digital data Tallahassee, Florida FDEP http://www.dep.state.fl.us/ 100000 None unknown Unknown FDEP Spatial and Attribute Information Bureau of Economic and Business Research unknown spreadsheet Gainesville, Florida Bureau of Economic and Business Research (BEBR) http://www.bebr.ufl.edu onLine unknown publication date GeoPlan Spatial and Attribute Information United States Census Bureau - Decennial Documents unknown spreadsheet Washington, DC USCB United States Census Bureau Washington, D.C. 20233 (301) 457-1128 (Geography); (301) 457-4100 (Customer Service) http://www2.census.gov/prod2/decennial/documents/1890a_v1-01.pdf None unknown publication date USCB Spatial and Attribute Information This data layer was originally created by the US Census Bureau. The GeoPlan Center acquired this dataset from the Florida Department of Environmental Protection GIS Division. This dataset was previously released in FGDL Version 3 (released July 2000), and there was an error in the eastern border of Polk County/ western border of Osceola. The border has been corrected and updated for this new version of the dataset. FDEP unknown GeoPlan Center University of Florida The county boundaries data layer was acquired from the Florida Department of Environmental Protection GIS Division. FDEP unknown Corrected Sumter/Hernando border and Polk county boundary. GeoPlan unknown The County boundary TIGER/Line file (cntbnd.shp) was enhanced at the Geoplan Center by the addition/standardization of attribute data from the two United States Census Bureau sources and the 2004 Florida Statistical Abstract. GeoPlan, during the QA/QC process included the following aspects: -Reprojected data to FGDL Albers HPGN -Removed the [OBJECTID], [AREA], [PERIMETER], [FGDLCODE], [AUTOID], [SHAPE_AREA], and [SHAPE_LEN] fields from the attribute table. The field [FIPS] was then renamed [FIRST_FIPS]. GeoPlan then added the following fields: [1830], [1840], [1850], [1860], [1870], [1880], [1890], [1900], [1910], [1920], [1930], [1940], [1950], [1960], [1970], [1980], [1990], [2000]. These fields were then populated with the historical population data for each county from the Census sources. Present day Bradford County was assigned the 1860 population data originally assigned to New River County. Also, present day Brevard County was assigned the 1850 population data originally assigned to St. Lucie County. Additionally, the 1830 population data originally assigned to Santa Rosa County was assigned to present day Santa Rosa County, although present day Santa Rosa County was created in 1842. -Extracted population projection attribute data from the 2004 Florida Statistical Abstract Population profile. The attribute data was then linked to TIGER/Line County boundary file. Components of Change information is derived from the following table: Table 1.72. COMPONENTS OF CHANGE: COMPONENTS OF POPULATION CHANGE IN THE COUNTIES OF FLORIDA, APRIL 1, 2000 TO APRIL 1, 2003. Projections information is derived from the following table: Table 1.41. PROJECTIONS: ESTIMATES, APRIL 1, 2003, AND PROJECTIONS SPECIFIED YEARS APRIL 1, 2010 THROUGH 2030, IN THE COUNTIES OF FLORIDA. County Density information is derived from the following table: Table 1.14. COUNTY RANKINGS AND DENSITY: POPULATION ESTIMATES, RANK PERCENTAGE DISTRIBUTION, LAND AREA, AND DENSITY IN THE COUNTIES OF FLORIDA, APRIL 1, 2003. Age Projections information is derived from the following table: Table 1.54. AGE: PROJECTIONS BY AGE GROUP IN THE COUNTIES OF FLORIDA, APRIL 1, 2010 AND 2030. -Added a DESCRIPT field based on NAME (County name). -Added FGDLAQDATE based on the date FGDL acquired the BEBR data. GeoPlan 20061027 On August 18th, 2010 GeoPlan Center obtained updated population estimates and projections via email from Ive Irwin of BEBR. Excel tables were provided that contained data included in the 2009 Florida Statistical Abstract. GeoPlan, during the QA/QC process performed the following tasks: -Appended the attributes of CNTPOP_2004 to the newest county boundary shapefile. This was done to obtain the most up to date county boundary spatial features. -Deleted redundant attributes. -Removed POP_2003 field and replaced it with POP_2009 -Updated the population projection fields (low, medium and high) -Added and populated the LOW_2035, MED_2035, and HIGH_2035 fields. -Updated the NATURAL_NO, NATURAL_PC, NET_MIG_NO, and NET_MIG_PC fields. -Updated the FGDLAQDATE field to reflect the date GeoPlan acquired the updated data from BEBR. GeoPlan 20100825 Data imported to ArcSDE and exported as a shapefile. GeoPlan 20100914 Vector GT-polygon composed of chains 67 NAD 1983 HARN Florida GDL Albers 24.0 31.5 -84.0 24.0 400000.0 0.0 coordinate pair 0.0001 0.0001 meter D North American 1983 HARN GRS 1980 6378137.0 298.257222101 CNTPOP_2009 CNTPOP_2009.DBF BEBR OBJECTID Internal feature number. ESRI Sequential unique whole numbers that are automatically generated. Shape Feature geometry. ESRI Coordinates defining the features. NAME County Name GeoPlan Center FGDLCODE County Code used by FGDL (coincides with alphabetical order) GeoPlan FIPS Federal Informational Processing Standard Code. Unique county code used by the Census Bureau. GeoPlan POP_1830 Total county population in 1830 GeoPlan Center POP_1840 Total county population in 1840 GeoPlan Center POP_1850 Total county population in 1850 GeoPlan Center POP_1860 Total county population in 1860 GeoPlan Center POP_1870 Total county population in 1870 GeoPlan Center POP_1880 Total county population in 1880 GeoPlan Center POP_1890 Total county population in 1890 GeoPlan Center POP_1900 Total county population in 1900 GeoPlan Center POP_1910 Total county population in 1910 GeoPlan Center POP_1920 Total county population in 1920 GeoPlan Center POP_1930 Total county population in 1930 GeoPlan Center POP_1940 Total county population in 1940 GeoPlan Center POP_1950 Total county population in 1950 GeoPlan Center POP_1960 Total county population in 1960 GeoPlan Center POP_1970 Total county population in 1970 GeoPlan Center POP_1980 Total county population in 1980 GeoPlan Center POP_1990 Total county population in 1990 GeoPlan Center POP_2000 Total county population in 2000 GeoPlan Center POP_2009 Total county population in 2000 GeoPlan Center CHANGE Total change in population between 2000 and 2003 for a County. GeoPlan Center NATURAL_NO The natural increase in population numbers for a County. Natural increase is calculated as the difference between the number of births and the number of deaths. GeoPlan Center NATURAL_PC The natural increase in population numbers as a percentage for a County. Natural increase is calculated as the difference between the number of births and the number of deaths. GeoPlan Center NET_MIG_NO The net migration population number for a County. Net migration is calculated as the difference between total population change and natural increase. GeoPlan Center NET_MIG_PC The net migration population number as a percentage for a County. Net migration is calculated as the difference between total population change and natural increase. GeoPlan Center LAND_SQM The land area in square miles for a County. GeoPlan Center PP_SQM The population per square mile for a County. GeoPlan Center LOW_2010 The low population estimate for the year 2010 for a County. BEBR MED_2010 The medium population estimate for the year 2010 for a County. BEBR HIGH_2010 The high population estimate for the year 2010 for a County. BEBR LOW_2015 The low population estimate for the year 2015 for a County. BEBR MED_2015 The medium population estimate for the year 2015 for a County. BEBR HIGH_2015 The high population estimate for the year 2015 for a County. BEBR LOW_2020 The low population estimate for the year 2020 for a County. BEBR MED_2020 The medium population estimate for the year 2020 for a County. BEBR HIGH_2020 The high population estimate for the year 2020 for a County. BEBR LOW_2025 The low population estimate for the year 2025 for a County. BEBR MED_2025 The medium population estimate for the year 2025 for a County. BEBR HIGH_2025 The high population estimate for the year 2025 for a County. BEBR LOW_2030 The low population estimate for the year 2030 for a County. BEBR MED_2030 The medium population estimate for the year 2030 for a County. BEBR HIGH_2030 The high population estimate for the year 2030 for a County. BEBR LOW_2035 The low population estimate for the year 2035 for a County. BEBR MED_2035 The medium population estimate for the year 2035 for a County. BEBR HIGH_2035 The high population estimate for the year 2035 for a County. BEBR UND18_2010 The population estimate for people under the age of 18 for the year 2010 for a County. Based on the 2010 medium population estimates. BEBR A1864_2010 The population estimate for people between the ages of 18 and 64 for the year 2010 for a County. Based on the 2010 medium population estimates. BEBR OVR65_2010 The population estimate for people over the age of 65 for the year 2010 for a County. Based on the 2010 medium population estimates. BEBR UND18_2030 The population estimate for people under the age of 18 for the year 2030 for a County. Based on the 2030 medium population estimates. BEBR A1864_2030 The population estimate for people between the ages of 18 and 64 for the year 2030 for a County. Based on the 2030 medium population estimates. BEBR OVR65_2030 The population estimate for people over the age of 65 for the year 2030 for a County. Based on the 2030 medium population estimates. BEBR DESCRIPT Based on NAME (Name of the County). GeoPlan Center FGDLAQDATE The date FGDL acquired the data from the Source. GeoPlan Center AUTOID Unique ID added by GeoPlan GeoPlan SHAPE.AREA Area in meters GeoPlan SHAPE.LEN Perimeter in meters GoePlan Florida Geographic Data Library (FGDL) mailing

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Gainesville Florida 32611-5706 US Web site: http://www.fgdl.org 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 Mailing list for FGDL: http://www.fgdl.org/fgdl-l.html 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 20200303 University of Florida GeoPlan Center mailing and physical

431 Architecture PO Box 115706

Gainesville Florida 32611 Web site: http://www.fgdl.org FGDC Content Standard for Digital Geospatial Metadata FGDC-STD-001-1998 local time