This data layer shows census tracts in Florida that are designated as Racially and Ethnically Concentrated Areas of Poverty (RECAPs) by Florida Housing Finance Corporation (Florida Housing). RECAP-designated tracts have more than 50% of the population who identify as other than non-Hispanic white and a poverty rate greater than or equal to 40%. Data used in the RECAP designation process is derived from the American Community Survey (ACS). The survey is conducted by the Census Bureau on an ongoing basis. It is the most complete and reliable source of information about the American people. The Census Bureau releases ACS data in 1-year, 3-year, and 5- year averages. One-year data is the most current; however, the 3-year and 5-year averages are more reliable because they are based on a larger sample size. Florida Housing has used the most recent and available 5-year estimates from the ACS, which includes survey data from (2019-2023). In addition, Florida Housing has discarded high margin of error values. Applying these rigorous standards, Florida Housing has based the RECAP designations on accurate data that reflect long-term trends.

In 2023, Wildwood-The Villages metropolitan area in Florida was ranked first, with 39.3 percent of its population aged under 18 years living below the poverty level. McAllen-Edinburg-Mission metro area in Texas had the second-highest rate of child poverty in the nation.

U.S. Census Bureau QuickFacts statistics for Jacksonville city, Florida. QuickFacts data are derived from: Population Estimates, American Community Survey, Census of Population and Housing, Current Population Survey, Small Area Health Insurance Estimates, Small Area Income and Poverty Estimates, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, Building Permits.

This annual study provides selected income and tax items classified by State, ZIP Code, and the size of adjusted gross income. These data include the number of returns, which approximates the number of households; the number of personal exemptions, which approximates the population; adjusted gross income; wages and salaries; dividends before exclusion; and interest received. Data are based who reported on U.S. Individual Income Tax Returns (Forms 1040) filed with the IRS. SOI collects these data as part of its Individual Income Tax Return (Form 1040) Statistics program, Data by Geographic Areas, ZIP Code Data.

This data layer shows census tracts in Florida that are designated as Racially and Ethnically Concentrated Areas of Poverty (RECAPs) by Florida Housing Finance Corporation (Florida Housing). RECAP designated tracts have more than 50% of the population who identify as other than non-Hispanic white and a poverty rate greater than or equal to 40%. Data used in the RECAP designation process is derived from the 5-year American Community Survey (ACS) data. Florida Housing uses the average of the three most recent 5-year ACS data, which currently includes survey data from 2015 - 2019. Additionally, Florida Housing has discarded high margin of error values. Applying these rigorous standards, Florida Housing has based the RECAP designations on data that reflect long-term trends.

This layer shows median household income by race and by age of householder. 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. Median income and income source is based on income in past 12 months of survey. This layer is symbolized to show median household income. 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): B19013B, B19013C, B19013D, B19013E, B19013F, B19013G, B19013H, B19013I, B19049, B19053Data 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.

In 2023, there were about ******* homeless people estimated to be living in the United States, the highest number of homeless people recorded within the provided time period. In comparison, the second-highest number of homeless people living in the U.S. within this time period was in 2007, at *******. How is homelessness calculated? Calculating homelessness is complicated for several different reasons. For one, it is challenging to determine how many people are homeless as there is no direct definition for homelessness. Additionally, it is difficult to try and find every single homeless person that exists. Sometimes they cannot be reached, leaving people unaccounted for. In the United States, the Department of Housing and Urban Development calculates the homeless population by counting the number of people on the streets and the number of people in homeless shelters on one night each year. According to this count, Los Angeles City and New York City are the cities with the most homeless people in the United States. Homelessness in the United States Between 2022 and 2023, New Hampshire saw the highest increase in the number of homeless people. However, California was the state with the highest number of homeless people, followed by New York and Florida. The vast amount of homelessness in California is a result of multiple factors, one of them being the extreme high cost of living, as well as opposition to mandatory mental health counseling and drug addiction. However, the District of Columbia had the highest estimated rate of homelessness per 10,000 people in 2023. This was followed by New York, Vermont, and Oregon.

This layer is a combination of multiple incentive areas used in the Development Assistance map.The New Markets Tax Credit Program incentivizes community development and economic growth through the use of tax credits that attract private investment to distressed communities. Through the NMTC Program, the CDFI Fund allocates tax credit authority to Community Development Entities (CDEs) through a competitive application process. CDEs are financial intermediaries through which private capital flows from an investor to a qualified business located in a low-income community. CDEs use their authority to offer tax credits to investors in exchange for equity in the CDE. Using the capital from these equity investments, CDEs can make loans and investments to businesses operating in low-income communities on better rates and terms and more flexible features than the market. Derived from 2011-2015 Census Tracts per CDFI Fund CIMS mapping tool."The Opportunity Zones program provides tax incentives, including a temporary deferral on capital gains taxes, when investors reinvest those gains in qualified Opportunity Funds. The funds must in turn invest in low-income communities from designated census tracts, called Opportunity Zones." - Florida Department of Economic Opportunity"The U.S. Department of Housing and Urban Development (HUD) encourages the establishment of a Neighborhood Revitalization Strategy Area (NRSA) as a means to create communities of opportunity in distressed neighborhoods. The goal of this program is to reinvest in human and economic capital, and economically empower low-income residents as part of an overall community revitalization strategy. Comprehensive community revitalization strategies seek to create partnerships among federal and local governments, the private sector, community organizations and neighborhood residents." - City of Fort Myers Florida Neighborhood Revitalization Strategy Areas Plan"The Community Contribution Tax Credit Program provides a financial incentive (up to 50 percent tax credit or sales tax refund) to encourage Florida businesses to make donations toward community development and housing projects for low-income persons." - Florida Department of Economic Opportunity In the project area, the City will acquire vacant lots and partner with non-profit and for profit affordable home builders to construct homes for low income residents. The CCTC program enables the City to continue to revitalize the area by having the ability to solicit donations from eligible businesses. The City will use the donations for acquisition and construction of homes for low income residents.Created 4/27/2018.