Results: Comprehensive Plan Data
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No results foundSources: US Census Bureau (2020 Census) and University of Florida, Bureau of Economic and Business Research (2024 Estimates).
No results foundSources: Estimates and projections by Shimberg Center for Housing Studies, based on U.S. Department of Housing Development, Comprehensive Housing Affordability Strategy (CHAS) dataset and population projections by the Bureau of Economic and Business Research, University of Florida
No results foundSources: Estimates and projections by Shimberg Center for Housing Studies, based on U.S. Department of Housing Development, Comprehensive Housing Affordability Strategy (CHAS) dataset and population projections by the Bureau of Economic and Business Research, University of Florida
No results foundSources: Estimates and projections by Shimberg Center for Housing Studies, based on U.S. Department of Housing Development, Comprehensive Housing Affordability Strategy (CHAS) dataset and population projections by the Bureau of Economic and Business Research, University of Florida
No results foundNotes: Counts refer to the estimated or projected number of households of each income and tenure type.
Sources: Estimates and projections by Shimberg Center for Housing Studies, based on U.S. Department of Housing Development, Comprehensive Housing Affordability Strategy (CHAS) dataset and population projections by the Bureau of Economic and Business Research, University of Florida
No results foundNotes: Counts refer to the number of households with monthly owner costs in each dollar range. Monthly owner costs including mortgage (if any), taxes, insurance, utilities, and association fees. The ACS is based on an annual sample of US households. The margin of error (+/-) is based on a 90% confidence level; that is, there is a 90% probability that the actual value falls within the range provided by subtracting and then adding the margin of error to the estimate. If margin of error is greater than the estimate, result is not statistically significantly different than zero. 1-year 2024 ACS estimates are available for 46 counties and 41 incorporated places. 5-year 2020-2024 estimates are used for the remaining counties and cities.
Sources: U.S. Census Bureau, 2024 American Community Survey 1-Year and 5-Year Estimates
No results foundNotes: Counts refer to estimated or projected number of persons.
Sources: Estimates and projections by Shimberg Center for Housing Studies, based on 2010 and 2020 U.S. Census data and population projections by the Bureau of Economic and Business Research, University of Florida.
No results foundNotes: Counts refer to estimated or projected number of persons.
Sources: Estimates and projections by Shimberg Center for Housing Studies, based on 2010 and 2020 U.S. Census data and population projections by the Bureau of Economic and Business Research, University of Florida.
No results foundNotes: Counts refer to the number of occupied units with each tenure type. The ACS is based on an annual sample of US households. The margin of error (+/-) is based on a 90% confidence level; that is, there is a 90% probability that the actual value falls within the range provided by subtracting and then adding the margin of error to the estimate. If margin of error is greater than the estimate, result is not statistically significantly different than zero.
Sources: U.S. Census Bureau, 2024 American Community Survey 1-Year and 5-Year Estimates
No results foundSources: U.S. Census Bureau, 2024 American Community Survey 1-Year and 5-Year Estimates
No results foundNotes: Counts refer to number of households paying less than 30%, 30-49.9%, and 50% or more of income for gross rent. Gross rent includes contract rent and utilities. The ACS is based on an annual sample of US households. The margin of error (+/-) is based on a 90% confidence level; that is, there is a 90% probability that the actual value falls within the range provided by subtracting and then adding the margin of error to the estimate. If margin of error is greater than the estimate, result is not statistically significantly different than zero. 1-year 2024 ACS estimates are available for 46 counties and 41 incorporated places. 5-year 2020-2024 estimates are used for the remaining counties and cities.
Sources: U.S. Census Bureau, 2024 American Community Survey 1-Year and 5-Year Estimates
No results foundNotes: Counts refer to number of households paying less than 30%, 30-49.9%, and 50% or more of income for gross rent. Gross rent includes contract rent and utilities. The ACS is based on an annual sample of US households. The margin of error (+/-) is based on a 90% confidence level; that is, there is a 90% probability that the actual value falls within the range provided by subtracting and then adding the margin of error to the estimate. If margin of error is greater than the estimate, result is not statistically significantly different than zero.
Sources: U.S. Census Bureau, 2024 American Community Survey 1-Year and 5-Year Estimates
No results foundNotes: Counts refer to number of owner-occupied units in each home value category. Values are self-reported. The ACS is based on an annual sample of US households. The margin of error (+/-) is based on a 90% confidence level; that is, there is a 90% probability that the actual value falls within the range provided by subtracting and then adding the margin of error to the estimate. If margin of error is greater than the estimate, result is not statistically significantly different than zero.
Sources: U.S. Census Bureau, 2024 American Community Survey 1-Year and 5-Year Estimates
No results foundNotes: Monthly owner costs including mortgage (if any), taxes, insurance, utilities, and association fees. The ACS is based on an annual sample of US households. The margin of error (+/-) is based on a 90% confidence level; that is, there is a 90% probability that the actual value falls within the range provided by subtracting and then adding the margin of error to the estimate. If margin of error is greater than the estimate, result is not statistically significantly different than zero.
Sources: U.S. Census Bureau, 2024 American Community Survey 1-Year and 5-Year Estimates
No results foundNotes: The ACS is based on an annual sample of US households. The margin of error (+/-) is based on a 90% confidence level; that is, there is a 90% probability that the actual value falls within the range provided by subtracting and then adding the margin of error to the estimate. If margin of error is greater than the estimate, result is not statistically significantly different than zero.
Sources: U.S. Census Bureau, 2024 American Community Survey 1-Year and 5-Year Estimates
No results foundNotes: Counts refer to number of units built in each year range. The ACS is based on an annual sample of US households. The margin of error (+/-) is based on a 90% confidence level; that is, there is a 90% probability that the actual value falls within the range provided by subtracting and then adding the margin of error to the estimate. If margin of error is greater than the estimate, result is not statistically significantly different than zero.
Sources: U.S. Census Bureau, 2024 American Community Survey 1-Year and 5-Year Estimates
No results foundSources: U.S. Census Bureau, 2024 American Community Survey 1-Year and 5-Year Estimates
No results foundNotes: Data definitions and special notes available in AHI User Guide. Negative values in tenant characteristics fields indicate missing or suppressed data: -1: missing data, -4: suppressed (fewer than 11 households reporting); -5 non-reporting (where reporting rates are less than 50%). Properties with HUD Public Housing funding often comprise multiple complexes or buildings; download Public Housing Buildings for a statewide, address-level list.
Sources: Data sources and last updates available in AHI User Guide.
No results foundNotes: Need for beds for single workers is calculated by subtracting the estimated number of unaccompanied workers from the number of beds available in migrant labor camps permitted by the Florida Department of Health. Counties with negative need for single worker beds have higher than average shares of migrant workers and large supplies of migrant camp beds, which may serve workers during multiple harvesting periods. Need for beds for workers accompanied by other household members is calculated by subtracting the estimated number of households from the supply of farmworker housing subsidized by USDA Rural Development and Florida Housing. For more information, see the 2025 Rental Market Study.
Sources: U.S. Bureau of Labor Statistics, 2023 Quarterly Census of Employment and Wages; U.S. Department of Labor, National Agricultural Workers Survey (multiple years); U.S. Department of Labor, Office of Foreign Labor Certification, 2024 H-2A Disclosure Data; Florida Department of Health; Shimberg Center for Housing Studies, Assisted Housing Inventory.
Disclaimer: The Shimberg Center for Housing Studies has compiled housing and demographic information for the convenience of consumers, policy makers, planners, program administrators and other interested parties throughout Florida. The Shimberg Center is committed to ensuring that the data in the Florida Housing Data Clearinghouse is as accurate as possible, consistent with any limitations on the inherent accuracy of the original data sources. Although every effort has been made to ensure that information is comprehensive and accurate, errors and omissions may exist. The Clearinghouse and the information included therein is provided on an "as is" basis. The Shimberg Center for Housing Studies, the Florida Housing Data Clearinghouse, the University of Florida, or any of their respective faculty, staff, or administration specifically disclaim any warranty, either expressed or implied, including but not limited to the implied warranties of merchantability and fitness for a particular use. The entire risk as to quality and performance is with the user. Persons who notice information that is incomplete, incorrect, or out of date should contact the Shimberg Center at (352) 273-1192 or via email at fhdc-comments@shimberg.ufl.edu