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TwitterThe demographic data displayed in this theme of Florida’s Roadmap to Living Healthy are quantitative measures that exhibit the socioeconomic state of Florida’s communities. The data sets comprising this themed map include topics such as population, race, income level, age, education, housing, and lifestyle data for all of Florida’s 67 counties, and other basic demographic characteristics. The Florida Department of Agriculture and Consumer Services has utilized the most current demographic statistical data from trusted sources such as the U.S. Census Bureau, U.S. Department of Housing and Urban Development, U.S. Department of Labor Bureau of Labor Statistics, Florida Department of Children and Families, and Esri to craft this custom visualization. Demographics provide profound perspective to your data analytics and will help you recognize the distinctive characteristics of a population based on its location. This demographic-themed mapping tool will simplify your ability to identify the specific socioeconomic needs of every community in Florida.
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Twitterhttps://www.florida-demographics.com/terms_and_conditionshttps://www.florida-demographics.com/terms_and_conditions
A dataset listing Florida counties by population for 2024.
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TwitterEach year, the Forecasting and Trends Office (FTO) publishes population estimates and future year projections. The population estimates can be used for a variety of planning studies including statewide and regional transportation plan updates, subarea and corridor studies, and funding allocations for various planning agencies.The 2021 population estimates are based on the population estimates developed by the Bureau of Economic and Business Research (BEBR) at the University of Florida. BEBR uses the decennial census count for April 1, 2020, as the starting point for state-level projections. More information is available from BEBR here.This dataset contains county boundaries in the State of Florida with 2021 population density estimates. All legal boundaries and names in this dataset are from the US Census Bureau’s TIGER/Line Files (2021). Please see the Data Dictionary for more information on data fields. Data Sources:FDOT FTO 2020 and 2021 Population Estimates by CountyUS Census Bureau 2020 Decennial CensusUS Census Bureau’s TIGER/Line Files (2021)Bureau of Economic and Business Research (BEBR) – Florida Estimates of Population 2021 Data Coverage: StatewideData Time Period: 2021 Date of Publication: October 2022 Point of Contact:Dana Reiding, ManagerForecasting and Trends OfficeFlorida Department of TransportationDana.Reiding@dot.state.fl.us605 Suwannee Street, Tallahassee, Florida 32399850-414-4719
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Twitterhttps://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for Resident Population in Florida (FLPOP) from 1900 to 2024 about FL, residents, population, and USA.
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Resident Population in Florida was 23372.21500 Thous. of Persons in January of 2024, according to the United States Federal Reserve. Historically, Resident Population in Florida reached a record high of 23372.21500 in January of 2024 and a record low of 530.00000 in January of 1900. Trading Economics provides the current actual value, an historical data chart and related indicators for Resident Population in Florida - last updated from the United States Federal Reserve on December of 2025.
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TwitterThis EnviroAtlas dataset is a summary of key demographic groups for the EnviroAtlas community. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).
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Twitterhttps://www.florida-demographics.com/terms_and_conditionshttps://www.florida-demographics.com/terms_and_conditions
A dataset listing Florida cities by population for 2024.
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TwitterThis layer shows total population count by sex and age group. This is shown by tract, county, and state boundaries. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. This layer is symbolized to show the percentage of the population that are considered dependent (ages 65+ and <18). To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. Current Vintage: 2019-2023ACS Table(s): B01001Data downloaded from: Census Bureau's API for American Community Survey Date of API call: December 12, 2024National Figures: data.census.govThe United States Census Bureau's American Community Survey (ACS):About the SurveyGeography & ACSTechnical DocumentationNews & UpdatesThis ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. For more information about ACS layers, visit the FAQ. Please cite the Census and ACS when using this data.Data Note from the Census:Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables.Data Processing Notes:This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Click here to learn more about ACS data releases.Boundaries come from the US Census TIGER geodatabases, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER. Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2023 500k TIGER Cartographic Boundary Shapefiles. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters).The States layer contains 52 records - all US states, Washington D.C., and Puerto RicoCensus tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey.Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page.Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.The estimate is controlled. A statistical test for sampling variability is not appropriate.The data for this geographic area cannot be displayed because the number of sample cases is too small.
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TwitterState Demographics
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TwitterPublic Law (P.L.) 94-171, enacted in 1975, directs the U.S. Census Bureau to make special preparations to provide redistricting data needed by the 50 states. It specifies that within a year following Census Day (by April 1, 2011), the Census Bureau must send the governor and legislature in each state the data they need to redraw districts for the United States Congress and state legislature. The Census 2010 Redistricting Data Program was set up to afford state officials an opportunity to define the small areas for which they wish to receive census population totals for redistricting purposes. Officials then could receive data for voting districts (e.g., election precincts, wards, state house and senate districts) in addition to standard census geographic areas, such as counties, cities, census tracts, and blocks. State participation in defining areas is voluntary and nonpartisan. There are four map types that support the 2010 Census Redistricting Data (Public Law [P.L.] 94-171) program. Each of these large format map types is produced in Adobeâ s portable document format (PDF). These georeferenced PDF files were created in compliance with the OGC PDF Geo-registration Encoding Best Practice Version 2.2 (OGC project document reference number OGC 08-139r2). They will also be available through the U.S. Census Bureau Map Products web site. In addition to the maps, other geographic products include the State Redistricting Data (P.L.94-171) Shapefiles and the 2010 Census Block Assignment Files, which provide census block relationships to voting districts, state legislative districts, school districts, and congressional districts. All four map types are produced in a set for each county or statistically equivalent entity (school district maps for the District of Columbia, Florida, Hawaii, Maryland, Nevada, and West Virginia are state-based). Each map set consists of one or more numbered parent sheets which cover the entire county. If necessary, separate inset sheets show areas of dense features at a larger scale. Inset areas are identified with letters. If the set has more than one parent sheet, an index sheet is also included which depicts the arrangement of the parent sheets and inset areas in relation to the county boundary and selected major features. All of the parent sheets within a county are produced at the same scale, while maps for adjacent counties may be at different scales. The objective of each map type is to use the smallest number of sheets while preserving legibility of geographic entity names and feature identifiers. The physical size of the county and the density of features also affect the number of parent sheets and insets.
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Population Estimate, Total, Hispanic or Latino (5-year estimate) in Putnam County, FL was 8092.00000 Persons in January of 2023, according to the United States Federal Reserve. Historically, Population Estimate, Total, Hispanic or Latino (5-year estimate) in Putnam County, FL reached a record high of 8092.00000 in January of 2023 and a record low of 6072.00000 in January of 2009. Trading Economics provides the current actual value, an historical data chart and related indicators for Population Estimate, Total, Hispanic or Latino (5-year estimate) in Putnam County, FL - last updated from the United States Federal Reserve on November of 2025.
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This dataset was developed under the guidance of the U.S. National Grid Institute due to a mission request from theFL-TF4 US&R Team operating in Louisiana after HurricaneLaura, August 2020, to support future similar Search-and-Rescue missions. The original population data are from WorldPop.org, converted to a 1-km USNG format courtesy of the USNGCenter.org, and mapped and hosted at the Florida Resources and Environmental Analysis Center (FREAC), Florida State University (FSU). Web-based map viewers are available as a courtesy of CalTopo, GISsurfer, and Esri.More Details: https://usng-gis.org/docs/TheSARTopoProject.pdf
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Population Estimate, Total, Hispanic or Latino (5-year estimate) in Escambia County, FL was 21413.00000 Persons in January of 2023, according to the United States Federal Reserve. Historically, Population Estimate, Total, Hispanic or Latino (5-year estimate) in Escambia County, FL reached a record high of 21413.00000 in January of 2023 and a record low of 11053.00000 in January of 2009. Trading Economics provides the current actual value, an historical data chart and related indicators for Population Estimate, Total, Hispanic or Latino (5-year estimate) in Escambia County, FL - last updated from the United States Federal Reserve on November of 2025.
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Population Estimate, Total, Hispanic or Latino (5-year estimate) in Volusia County, FL was 89077.00000 Persons in January of 2023, according to the United States Federal Reserve. Historically, Population Estimate, Total, Hispanic or Latino (5-year estimate) in Volusia County, FL reached a record high of 89077.00000 in January of 2023 and a record low of 49537.00000 in January of 2009. Trading Economics provides the current actual value, an historical data chart and related indicators for Population Estimate, Total, Hispanic or Latino (5-year estimate) in Volusia County, FL - last updated from the United States Federal Reserve on November of 2025.
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Population Estimate, Total, Hispanic or Latino (5-year estimate) in Madison County, FL was 1005.00000 Persons in January of 2023, according to the United States Federal Reserve. Historically, Population Estimate, Total, Hispanic or Latino (5-year estimate) in Madison County, FL reached a record high of 1139.00000 in January of 2022 and a record low of 843.00000 in January of 2010. Trading Economics provides the current actual value, an historical data chart and related indicators for Population Estimate, Total, Hispanic or Latino (5-year estimate) in Madison County, FL - last updated from the United States Federal Reserve on November of 2025.
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TwitterOverviewThis feature layer shows population change compared to pre-crisis baseline in the affected areas by Hurricane Idalia on a daily basis for all Census Designated Population (CDP), an administrative unit smaller than county, in Florida, Georgia, Alabama, and South Carolina. The layer has time enabled to show the change from 2023-08-28 to the latest date when population change data harvested by Data for Good at Meta is available.Population maps provided by Data for Good at Meta are generated based on users of Facebook. For more information about the disaster population maps provided by Data for Good at Meta, please refer to this link.Default data visualizationA divergent color ramp was employed to create a choropleth map for % population change compared to the pre-crisis baseline. The size of pre-crisis baseline is visualized using circles in different sizes. Each polygon represents one census designated place in the affected areas.This feature layer contains the following metrics for mapping and analysis:Baseline population - an estimated number of Facebook users during the pre-crisis period. It is calculated as an average of 90 days before the crisis (in this case, 2023-08-28 was used as the onset of crisis).Crisis population - an estimated number of Facebook users during the crisis. Original data are provided every 8 hours.Difference in population - the difference between crisis population and the baseline populationPercent change in population - the percentage of population change from baseline to a given date during the crisisZ-score - a unitless normalized measurement to quantify the population change from baselineDate - Date of data acquisition. Original data are provided three times a day (8-hour interval). We calculated a daily average using all three timestamps available for each day. Users can filter by Date to create a subset showing the population change on a selected dateMethod of data preparationRemove data points without a valid baseline population or percent change in populationCalculate daily average using the three timestamps available for each dayAggregate the original point data to census designated places in the affected areasAppend all daily average census designated places data to a single file to enable time option of the layer
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This dataset supports the analysis conducted in the study "Did Official Flood Maps Work in Hurricane Helene? Systematic Evaluation of Official Flood Maps with Ground-truth Observations." It includes: (1) camera-based ground-truth flood extent data from Hurricane Helene in Pinellas County, Florida; (2) official flood maps from FEMA, FDEM, and Fathom; (3) population exposure and flood map performance metrics at the census block group level; (4) auxiliary datasets such as land cover and high-resolution population grids; and (5) Python scripts for calculating the Social Vulnerability Index (SoVI). The data enable spatial validation of flood risk models and investigation of socio-spatial disparities in flood map accuracy.
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Twitterhttps://www.zip-codes.com/tos-database.asphttps://www.zip-codes.com/tos-database.asp
Demographics, population, housing, income, education, schools, and geography for ZIP Code 33431 (Boca Raton, FL). Interactive charts load automatically as you scroll for improved performance.
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TwitterFlorida has 21.9 million residents as of the 2020 Census. Estimated total residents based on the 2020 Census. Source: Decennial Census 2020.
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Population Estimate, Total, Hispanic or Latino (5-year estimate) in Levy County, FL was 4365.00000 Persons in January of 2023, according to the United States Federal Reserve. Historically, Population Estimate, Total, Hispanic or Latino (5-year estimate) in Levy County, FL reached a record high of 4365.00000 in January of 2023 and a record low of 2131.00000 in January of 2009. Trading Economics provides the current actual value, an historical data chart and related indicators for Population Estimate, Total, Hispanic or Latino (5-year estimate) in Levy County, FL - last updated from the United States Federal Reserve on November of 2025.
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TwitterThe demographic data displayed in this theme of Florida’s Roadmap to Living Healthy are quantitative measures that exhibit the socioeconomic state of Florida’s communities. The data sets comprising this themed map include topics such as population, race, income level, age, education, housing, and lifestyle data for all of Florida’s 67 counties, and other basic demographic characteristics. The Florida Department of Agriculture and Consumer Services has utilized the most current demographic statistical data from trusted sources such as the U.S. Census Bureau, U.S. Department of Housing and Urban Development, U.S. Department of Labor Bureau of Labor Statistics, Florida Department of Children and Families, and Esri to craft this custom visualization. Demographics provide profound perspective to your data analytics and will help you recognize the distinctive characteristics of a population based on its location. This demographic-themed mapping tool will simplify your ability to identify the specific socioeconomic needs of every community in Florida.