Income limits used to determine the income eligibility of applicants for assistance under three programs authorized by the National Housing Act. These programs are the Section 221(d)(3) Below Market Interest Rate (BMIR) rental program, the Section 235 program, and the Section 236 program. These income limits are listed by dollar amount and family size, and they are effective on the date issued. Due to the Housing and Economic Recovery Act of 2008 (Public Law 110-289), Income Limits used to determine qualification levels as well as set maximum rental rates for projects funded with tax credits authorized under section 42 of the Internal Revenue Code (the Code) and projects financed with tax exempt housing bonds issued to provide qualified residential rental development under section 142 of the Code (hereafter referred to as Multifamily Tax Subsidy Projects (MTSPs)) are now calculated and presented separately from the Section 8 income limits.

The Department of Housing and Urban Development (HUD) sets income limits that determine eligibility for assisted housing programs including the Public Housing, Section 8 project-based, Section 8 Housing Choice Voucher, Section 202 housing for the elderly, and Section 811 housing for persons with disabilities programs. HUD develops income limits based on Median Family Income estimates and Fair Market Rent area definitions for each metropolitan area, parts of some metropolitan areas, and each non-metropolitan county. Datasets from 2020 to 2024

The Department of Housing and Urban Development (HUD) is required by law to set income limits that determine the eligibility of applicants for HUD's assisted housing programs. The major active assisted housing programs are the Public Housing program, the Section 8 Housing Choice Voucher program, Section 202 housing for the elderly program, and Section 811 housing for persons with disabilities program. FY2013.

Homeowner Assistance Fund (HAF) Income Limits are used for determining eligibility for HAF funds. HAF funds are used for qualified expenses that assist homeowners having incomes equal to or less than the greater of 150 percent of the area median income for their household size, or the median income for the United States, as determined by the Secretary of Housing and Urban Development.The Department of the Treasury's Homeowner Assistance Fund provides funds to prevent homeowner mortgage delinquencies, defaults, foreclosures, loss of utilities or home energy services, and homeowner displacement. For more information about the Homeowner Assistance Fund Program, please visit https://home.treasury.gov/policy-issues/coronavirus/assistance-for-state-local-and-tribal-governments/homeowner-assistance-fund

The Department of Housing and Urban Development (HUD) sets income limits that determine eligibility for assisted housing programs including the Public Housing, Section 8 project-based, Section 8 Housing Choice Voucher, Section 202 housing for the elderly, and Section.Source: https://www.huduser.gov/portal/datasets/il.html#data_2025This table was includes AMI and income limits data for Northern Middlesex communities of Billerica, Chelmsford, Dracut, Dunstable, Lowell, Pepperell, Tewksbury, Tyngsborough, and Westford.

Since passage of the U.S. Housing Act of 1937, the federal government has provided housing assistance to low-income renters. Most of these housing subsidies were provided under programs administered by the U.S. Department of Housing and Urban Development (HUD) or predecessor agencies. All programs covered in this report provide subsidies that reduce rents for low-income tenants who meet program eligibility requirements. Generally, households pay rent equal to 30 percent of their incomes, after deductions, while the federal government pays the remainder of rent or rental costs. To qualify for a subsidy, an applicant’s income must initially fall below a certain income limit. These income limits are HUD-determined, location specific, and vary by household size. Applicants for housing assistance are usually placed on a waiting list until a subsidized unit becomes available.Assistance provided under HUD programs falls into three categories: public housing, tenant-based, and privately owned, project-based.In public housing, local housing agencies receive allocations of HUD funding to build, operate or make improvements to housing. The housing is owned by the local agencies. Public housing is a form of project-based subsidy because households may receive assistance only if they agree to live at a particular public housing project.Currently, tenant based assistance is the most prevalent form of housing assistance provided. Historically, tenant based assistance began with the Section 8 certificate and voucher programs, which were created in 1974 and 1983, respectively. These programs were replaced by the Housing Choice Voucher program, under legislation enacted in 1998. Tenant based programs allow participants to find and lease housing in the private market. Local public housing agencies (PHAs) and some state agencies serving as PHAs enter into contracts with HUD to administer the programs. The PHAs then enter into contracts with private landlords. The housing must meet housing quality standards and other program requirements. The subsidies are used to supplement the rent paid by low-income households. Under tenant-based programs, assisted households may move and take their subsidy with them. The primary difference between certificates and vouchers is that under certificates, there was a maximum rent which the unit may not exceed. By contrast, vouchers have no specific maximum rent; the low-income household must pay any excess over the payment standard, an amount that is determined locally and that is based on the Fair Market Rent. HUD calculates the Fair Market Rent based on the 40th percentile of the gross rents paid by recent movers for non-luxury units meeting certain quality standards.The third major type of HUD rental assistance is a collection of programs generally referred to as multifamily assisted, or, privately-owned, project-based housing. These types of housing assistance fall under a collection of programs created during the last four decades. What these programs have in common is that they provide rental housing that is owned by private landlords who enter into contracts with HUD in order to receive housing subsidies. The subsidies pay the difference between tenant rent and total rental costs. The subsidy arrangement is termed project-based because the assisted household may not take the subsidy and move to another location. The single largest project-based program was the Section 8 program, which was created in 1974. This program allowed for new construction and substantial rehabilitation that was delivered through a wide variety of financing mechanisms. An important variant of project-based Section 8 was the Loan Management Set Aside (LMSA) program, which was provided in projects financed under Federal Housing Administration (FHA) programs that were not originally intended to provide deep subsidy rental assistance. Projects receiving these LMSA “piggyback” subsidies were developed under the Section 236 program, the Section 221(d)(3) Below Market Interest Rate (BMIR) program, and others that were unassisted when originally developed.Picture of Subsidized Households does not cover other housing

The rental housing developments listed below are among the thousands of affordable units that are supported by City of Chicago programs to maintain affordability in local neighborhoods. The list is updated periodically when construction is completed for new projects or when the compliance period for older projects expire, typically after 30 years. The list is provided as a courtesy to the public. It does not include every City-assisted affordable housing unit that may be available for rent, nor does it include the hundreds of thousands of naturally occurring affordable housing units located throughout Chicago without City subsidies. For information on rents, income requirements and availability for the projects listed, contact each property directly. For information on other affordable rental properties in Chicago and Illinois, call (877) 428-8844, or visit www.ILHousingSearch.org.

In 2023, the share of rental housing programs in the United States providing funding to homeless people or individuals at risk of homelessness was the highest. The percentage of programs providing aid for homelessness was nearly ** percent. The second-most popular program category was those that aid individuals with mental illness, representing over ** percent of all programs. Housing assistance programs for people with disabilities accounted for over ** percent of the total. The programs for the elderly, households with rental arrears or eviction notices, and youth accounted for around ** percent each and over ** percent together.

Low-income Assistance Eligibility Analytics Market Outlook

According to our latest research, the global low-income assistance eligibility analytics market size reached USD 3.12 billion in 2024. The market is expected to expand at a robust CAGR of 12.7% from 2025 to 2033, resulting in a forecasted market size of USD 9.19 billion by 2033. This impressive growth is primarily driven by the increasing demand for data-driven decision-making in social welfare programs, the proliferation of digital transformation initiatives across public and private sectors, and the urgent need to optimize resource allocation for vulnerable populations.

The growth trajectory of the low-income assistance eligibility analytics market is strongly influenced by the global shift toward digitalization and automation within social welfare and public assistance programs. Governments and organizations are increasingly leveraging advanced analytics to streamline eligibility assessment processes, reduce administrative burdens, and minimize errors or fraud. The integration of artificial intelligence (AI), machine learning (ML), and predictive analytics into eligibility determination systems enables agencies to make more accurate and timely decisions, thereby improving the efficiency and effectiveness of aid distribution. Furthermore, the rise in the volume and complexity of applicant data necessitates sophisticated analytics platforms capable of handling large datasets, driving further adoption across various sectors.

Another significant growth factor is the expanding scope of low-income assistance programs, which now encompass not only traditional welfare but also healthcare, housing, education, and utility subsidies. As social safety nets become more comprehensive, the need for robust eligibility analytics solutions that can adapt to diverse criteria and regulatory requirements has intensified. Additionally, the ongoing economic uncertainties and rising cost of living worldwide have led to an increase in the number of individuals seeking assistance, thereby placing additional pressure on agencies to efficiently identify and prioritize eligible recipients. This scenario has accelerated investments in eligibility analytics tools that can support dynamic policy changes and ensure equitable access to benefits.

The market is also benefiting from the growing collaboration between government agencies, non-profit organizations, and private sector stakeholders. These partnerships are fostering innovation in eligibility analytics by facilitating data sharing, interoperability, and the development of unified platforms. Moreover, global initiatives aimed at enhancing social inclusion and reducing poverty are encouraging the adoption of advanced analytics solutions, particularly in emerging economies where digital infrastructure is rapidly evolving. The emphasis on transparency, accountability, and outcome-based funding further underscores the importance of robust analytics in the administration of low-income assistance programs.

Regionally, North America leads the low-income assistance eligibility analytics market, accounting for the largest share due to its early adoption of advanced technologies and well-established welfare systems. Europe follows closely, with significant investments in digital government initiatives and social protection reforms. The Asia Pacific region, while currently representing a smaller share, is projected to witness the fastest growth during the forecast period, driven by expanding government welfare programs and increasing digitization efforts. Latin America and the Middle East & Africa are also showing promising growth, albeit from a smaller base, as governments prioritize social safety nets and invest in modernizing eligibility determination processes.

Component Analysis

The component segment of the low-income assistance eligibility analytics market is broadly classified into software and services. The software segment dominates the market, accounting for a substantial portion of the overall revenue. This dominance is attributed to the widespread adoption of advanced analytics platforms that offer features such as real-time data processing, predictive modeling, and automated eligibility scoring. These software solutions are designed to integrate seamlessly with existing government databases and case management systems, enabling agencies to process applications more efficiently an

This is a map to assist Department of Housing & Community Development staff determine if properties qualify for ARPA and repair funds.Targeted Rehab Boundaries Boundaries for the West Dallas Targeted Rehab Program (Census Tracts 106.01, 160.02, 105, 205, 101.01, 101.02, 43) and Tenth Street Rehab Program (Historic Tenth Street). Home repair programs available in these areas: Housing & Neighborhood Revitalization Targeted Rehabilitation Program (TRP) (dallascityhall.com) Unserved Areas Dallas Water Utilities (DWU) 's Unserved Areas Report identified geographical areas that need water and/or wastewater services throughout the City. DWU is in the process of building out service in these areas. (2020 update) Home repair programs available in these areas: Housing & Neighborhood Revitalization ARPA Septic Tank (dallascityhall.com) QCTs This service contains a list of census tracts that qualify for the American Rescue Plan Act (ARPA).  The list was provided to EGIS by BMS.  The data used to produce this service can be found at Qualified Census Tracts and Difficult Development Areas | HUD USER. Low-Income Housing Tax Credit Qualified Census Tracts must have 50 percent of households with incomes below 60 percent of the Area Median Gross Income (AMGI) or have a poverty rate of 25 percent or more. Difficult Development Areas (DDA) are areas with high land, construction and utility costs relative to the area median income and are based on Fair Market Rents, income limits, the 2010 census counts, and 5-year American Community Survey (ACS) data. Maps of Qualified Census Tracts and Difficult Development Areas are available at: 2022 and 2023 Small DDAs and QCTs | HUD USER. Qualified Census Tracts - Generate QCT Tables for Individual Areas (Also Includes DDA Information) This data was created by the Department of Housing and Urban Development in 2023.  This data is updated on a yearly basis.  Updated ARPA boundaries ARPA Home Repair Program boundaries for qualified neighborhoods. Home repair programs available in these areas: American Rescue Plan Act Neighborhood Revitalization Program (dallascityhall.com) (Limited availability, applications accepted based on funding available) Housing Opportunity Fund TIF DistrictsThis is the Housing Opportunity Fund TIF District map for Housing & Community Development and Economic Development in the City of Dallas. The three TIF districts in this map are areas within the City of Dallas with select TIF funds for homeowner stabilization programs that may include Home Improvement and Preservation Programs (HIPP) and the Dallas Homebuyer Assistance Program (DHAP). The three Housing Opportunity Fund TIF districts are: the Oak Cliff Housing TIF, the Fort Worth Avenue Housing TIF, and the Deep Ellum Housing TIF. Housing & Community Development is starting to implement these areas in 2025.

This dataset denotes Sandy Damage Estimates Based on FEMA Individual Assistance (IA) Registrant Inspection Data. A FEMA housing inspection for renters is used to assess personal property loss and for owners to assess damage to their home as well as personal property. This inspection is done to determine eligibility for FEMA Individual Assistance. For both rental and owner inspections, if the property has flood damage the inspector measures the height of the flooding. They indicate the highest floor of the flooding (for example, Basement, 1st floor, 2nd floor, etc…) and the extent of the flooding in that room. In addition, for the units without flooding, HUD has estimated minor/major/severe damage based on the damage inspection estimates for real property (owner) and personal property (renter).A FEMA housing inspection for renters is used to assess personal property loss and for owners to assess damage to their home as well as personal property. This inspection is done to determine eligibility for FEMA Individual Assistance. For both rental and owner inspections, if the property has flood damage the inspector measures the height of the flooding. They indicate the highest floor of the flooding (for example, Basement, 1st floor, 2nd floor, etc…) and the extent of the flooding in that room. In addition, for the units without flooding, HUD has estimated minor/major/severe damage based on the damage inspection estimates for real property (owner) and personal property (renter).In an effort to maintain the confidentiality of residents this file only presents data on block groups with ten or more damaged housing units. The suppression of block groups with fewer than ten damaged housing units results in an exclusion of approximately 6% of the total flooded units. These data reflect Hurricane Sandy damage in the states of New York, New Jersey, Connecticut, and Rhode Island. These data are incomplete, as each day there are additional registrants and inspections. This should be a viewed as a preliminary snapshot to assist with planning.To learn more about HUD's long-term recovery efforts for victims of Hurricane Sandy visit: https://www.hud.gov/sandyrebuilding, for questions about the spatial attribution of this dataset, please reach out to us at GISHelpdesk@hud.gov. Data are available in a number of formats including csv, Shapefile, GeoJSON, KML, File Geodatabase, Feature Collection, GeoPackage, and Excel