This dataset and map service provides information on the U.S. Housing and Urban Development's (HUD) low to moderate income areas. The term Low to Moderate Income, often referred to as low-mod, has a specific programmatic context within the Community Development Block Grant (CDBG) program. Over a 1, 2, or 3-year period, as selected by the grantee, not less than 70 percent of CDBG funds must be used for activities that benefit low- and moderate-income persons. HUD uses special tabulations of Census data to determine areas where at least 51% of households have incomes at or below 80% of the area median income (AMI). This dataset and map service contains the following layer.
https://www.incomebyzipcode.com/terms#TERMShttps://www.incomebyzipcode.com/terms#TERMS
A dataset listing the richest zip codes in New York per the most current US Census data, including information on rank and average income.
https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for Median Household Income in the United States (MEHOINUSA646N) from 1984 to 2024 about households, median, income, and USA.
https://www.incomebyzipcode.com/terms#TERMShttps://www.incomebyzipcode.com/terms#TERMS
A dataset listing the richest zip codes in South Carolina per the most current US Census data, including information on rank and average income.
https://www.incomebyzipcode.com/terms#TERMShttps://www.incomebyzipcode.com/terms#TERMS
A dataset listing the richest zip codes in Virginia per the most current US Census data, including information on rank and average income.
Difficult Development Areas (DDA) for the Low Income Housing Tax Credit program are designated by U.S. Department of Housing and Urban Development (HUD) and defined in statute as areas with high construction, land, and utility costs relative to its Area Median Gross Income (AMGI). DDAs in metropolitan areas are designated along Census ZIP Code Tabulation Area (ZCTA) boundaries. DDAs in non-metropolitan areas are designated along county boundaries. DDAs may not contain more than 20% of the aggregate population of metropolitan and non-metropolitan areas, which are designated separately. To learn more about Difficult Development Areas (DDA) visit: https://www.huduser.gov/portal/datasets/qct.html, for questions about the spatial attribution of this dataset, please reach out to us at GISHelpdesk@hud.gov. Data Dictionary: DD_Difficult Development Areas Date of Coverage: 2024-2025Last Updated: 01-2025
https://www.incomebyzipcode.com/terms#TERMShttps://www.incomebyzipcode.com/terms#TERMS
A dataset listing the richest zip codes in Missouri per the most current US Census data, including information on rank and average income.
https://www.incomebyzipcode.com/terms#TERMShttps://www.incomebyzipcode.com/terms#TERMS
A dataset listing the richest zip codes in Puerto Rico per the most current US Census data, including information on rank and average income.
Comprehensive demographic dataset for Manhattan, New York City, NY, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.
Comprehensive demographic dataset for Pacific Palisades, Los Angeles, CA, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.
https://www.incomebyzipcode.com/terms#TERMShttps://www.incomebyzipcode.com/terms#TERMS
A dataset listing the richest zip codes in South Dakota per the most current US Census data, including information on rank and average income.
Comprehensive demographic dataset for Kansas City, MO, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.
https://www.southcarolina-demographics.com/terms_and_conditionshttps://www.southcarolina-demographics.com/terms_and_conditions
A dataset listing the 20 richest cities in South Carolina for 2024, including information on rank, city, county, population, average income, and median income.
Comprehensive demographic dataset for Suffolk County, NY, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.
Comprehensive demographic dataset for Montgomery County, MD, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.
Comprehensive demographic dataset for Colorado Springs, CO, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.
Comprehensive demographic dataset for Loudoun County, VA, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.
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This dataset and map service provides information on the U.S. Housing and Urban Development's (HUD) low to moderate income areas. The term Low to Moderate Income, often referred to as low-mod, has a specific programmatic context within the Community Development Block Grant (CDBG) program. Over a 1, 2, or 3-year period, as selected by the grantee, not less than 70 percent of CDBG funds must be used for activities that benefit low- and moderate-income persons. HUD uses special tabulations of Census data to determine areas where at least 51% of households have incomes at or below 80% of the area median income (AMI). This dataset and map service contains the following layer.