76 datasets found
  1. Monthly income limit for subsidized rental housing in Hong Kong by family...

    • statista.com
    Updated Jun 21, 2023
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    Statista (2023). Monthly income limit for subsidized rental housing in Hong Kong by family size 2023 [Dataset]. https://www.statista.com/statistics/639940/hong-kong-monthly-income-limit-for-subsidized-flat-eligibility-by-familiy-size/
    Explore at:
    Dataset updated
    Jun 21, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 2023
    Area covered
    Hong Kong
    Description

    This statistic depicts the maximum monthly income limits for government-subsidized rental housing eligibility in Hong Kong as of April 2023, by family size. According to the source, the maximum monthly income limit for a family of three people to be eligible to receive government-subsidized rental housing in Hong Kong was 24,410 Hong Kong dollars.

  2. Income Limits by County

    • data.ca.gov
    • catalog.data.gov
    csv, docx
    Updated Feb 7, 2024
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    California Department of Housing and Community Development (2024). Income Limits by County [Dataset]. https://data.ca.gov/dataset/income-limits-by-county
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    docx(31186), csv(15447), csv(15546)Available download formats
    Dataset updated
    Feb 7, 2024
    Dataset provided by
    California Department of Housing & Community Developmenthttps://hcd.ca.gov/
    Authors
    California Department of Housing and Community Development
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Description

    California State Income Limits reflect updated median income and household income levels for acutely low-, extremely low-, very low-, low- and moderate-income households for California’s 58 counties (required by Health and Safety Code Section 50093). These income limits apply to State and local affordable housing programs statutorily linked to HUD income limits and differ from income limits applicable to other specific federal, State, or local programs.

  3. d

    HUD Income Limits by household size for the year 2019 for all states and...

    • search.dataone.org
    • data.griidc.org
    Updated Feb 5, 2025
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    Rogin, Amy (2025). HUD Income Limits by household size for the year 2019 for all states and some overseas territories of the United States [Dataset]. http://doi.org/10.7266/60D3DGGJ
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    Dataset updated
    Feb 5, 2025
    Dataset provided by
    GRIIDC
    Authors
    Rogin, Amy
    Area covered
    United States
    Description

    HUD Income Limits are collected and published to determine the maximum income a household may earn to participate in certain housing subsidy programs. Home income limits from the year 2019 were used. Median income is developed for each metropolitan area (and applies to all counties in the metro area), and each non-metropolitan area (and is a county level measure). Data was obtained for communities in all 50 states, Puerto Rico and U.S. Virgin Islands. The calculations stem from median family income data provided by the Census and adjusted for certain local conditions.

  4. c

    Housing Receiving Incentives Open Data

    • opendata.cityofboise.org
    • housing-data-portal-boise.hub.arcgis.com
    Updated Jul 5, 2023
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    City of Boise, Idaho (2023). Housing Receiving Incentives Open Data [Dataset]. https://opendata.cityofboise.org/documents/1423afcc749646649c82d7cdc718e4f5
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    Dataset updated
    Jul 5, 2023
    Dataset authored and provided by
    City of Boise, Idaho
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    Thumbnail image by Tony Moody.This dataset includes all housing developments approved by the City of Boise’s (“city”) Planning Division since 2020 that are known by the city to have received or are expected to receive support or incentives from a government entity. Each row represents one development. Data may be unavailable for some projects and details are subject to change until construction is complete. Addresses are excluded for projects with fewer than five homes for privacy reasons.

    The dataset includes details on the number of “homes” in a development. We use the word "home" to refer to any single unit of housing regardless of size, type, or whether it is rented or owned. For example, a building with 40 apartments counts as 40 homes, and a single detached house counts as one home.

    The dataset includes details about the phase of each project. The process for build a new development is as follows: First, one must receive approval from the city’s Planning Division, which is also known as being “entitled.” Next, one must apply for and receive a permit from the city’s Building Division before beginning construction. Finally, once construction is complete and all city inspections have been passed, the building can be occupied.

    The dataset also includes data on the affordability level of each development. To receive a government incentive, a developer is typically required to rent or sell a specified number of homes to households that have an income below limits set by the government and their housing cost must not exceed 30% of their income. The federal government determines income limits based on a standard called “area median income.” The city considers housing affordable if is targeted to households earning at or below 80% of the area median income. For a three-person household in Boise, that equates to an annual income of $60,650 and monthly rent or mortgage of $1,516. See Boise Income Guidelines for more details.Project Address(es) – Includes all addresses that are included as part of the development project.Address – The primary address for the development.Parcel Number(s) – The identification code for all parcels of land included in the development.Acreage – The number of acres for the parcel(s) included in the project.Planning Permit Number – The identification code for all permits the development has received from the Planning Division for the City of Boise. The number and types of permits required vary based on the location and type of development.Date Entitled – The date a development was approved by the City’s Planning Division.Building Permit Number – The identification code for all permits the development has received from the city’s Building Division.Date Building Permit Issued – Building permits are required to begin construction on a development.Date Final Certificate of Occupancy Issued – A certificate of occupancy is the final approval by the city for a development, once construction is complete. Not all developments require a certificate of occupancy.Studio – The number of homes in the development that are classified as a studio. A studio is typically defined as a home in which there is no separate bedroom. A single room serves as both a bedroom and a living room.1-Bedroom – The number of homes in a development that have exactly one bedroom.2-Bedroom – The number of homes in a development that have exactly two bedrooms.3-Bedroom – The number of homes in a development that have exactly three bedrooms.4+ Bedroom – The number of homes in a development that have four or more bedrooms.# of Total Project Units – The total number of homes in the development.# of units toward goals – The number of homes in a development that contribute to either the city’s goal to produce housing affordable at or under 60% of area median income, or the city’s goal to create permanent supportive housing for households experiencing homelessness.Rent at or under 60% AMI - The number of homes in a development that are required to be rented at or below 60% of area median income. See the description of the dataset above for an explanation of area median income or see Boise Income Guidelines for more details. Boise defines a home as “affordable” if it is rented or sold at or below 80% of area median income.Rent 61-80% AMI – The number of homes in a development that are required to be rented at between 61% and 80% of area median income. See the description of the dataset above for an explanation of area median income or see Boise Income Guidelines for more details. Boise defines a home as “affordable” if it is rented or sold at or below 80% of area median income.Rent 81-120% AMI - The number of homes in a development that are required to be rented at between 81% and 120% of area median income. See the description of the dataset above for an explanation of area median income or see Boise Income Guidelines for more details.Own at or under 60% AMI - The number of homes in a development that are required to be sold at or below 60% of area median income. See the description of the dataset above for an explanation of area median income or see Boise Income Guidelines for more details. Boise defines a home as “affordable” if it is rented or sold at or below 80% of area median income.Own 61-80% AMI – The number of homes in a development that are required to be sold at between 61% and 80% of area median income. See the description of the dataset above for an explanation of area median income or see Boise Income Guidelines for more details. Boise defines a home as “affordable” if it is rented or sold at or below 80% of area median income.Own 81-120% AMI - The number of homes in a development that are required to be sold at between 81% and 120% of area median income. See the description of the dataset above for an explanation of area median income or see Boise Income Guidelines for more details.Housing Land Trust – “Yes” if a development receives or is expected to receive this incentive. The Housing Land Trust is a model in which the city owns land that it leases to a developer to build affordable housing.City Investment – “Yes” if the city invests funding or contributes land to an affordable development.Zoning Incentive - The city's zoning code provides incentives for developers to create affordable housing. Incentives may include the ability to build an extra floor or be subject to reduced parking requirements. “Yes” if a development receives or is expected to receive one of these incentives.Project Management - The city provides a developer and their design team a single point of contact who works across city departments to simplify the permitting process, and assists the applicants in understanding the city’s requirements to avoid possible delays. “Yes” if a development receives or is expected to receive this incentive.Low-Income Housing Tax Credit (LIHTC) - A federal tax credit available to some new affordable housing developments. The Idaho Housing and Finance Association is a quasi-governmental agency that administers these federal tax credits. “Yes” if a development receives or is expected to receive this incentive.CCDC Investment - The Capital City Development Corp (CCDC) is a public agency that financially supports some affordable housing development in Urban Renewal Districts. “Yes” if a development receives or is expected to receive this incentive. If “Yes” the field identifies the Urban Renewal District associated with the development.City Goal – The city has set goals to produce housing affordable to households at or below 60% of area median income, and to create permanent supportive housing for households experiencing homelessness. This field identifies whether a development contributes to one of those goals.Project Phase - The process for build a new development is as follows: First, one must receive approval from the city’s Planning Division, which is also known as being “entitled.” Next, one must apply for and receive a permit from the city’s Building Division before beginning construction. Finally, once construction is complete and all city inspections have been passed, the building can be occupied.

  5. Low-Income Housing Tax Credit (LIHTC) Qualified Census Tracts

    • catalog.data.gov
    • s.cnmilf.com
    Updated Mar 1, 2024
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    U.S. Department of Housing and Urban Development (2024). Low-Income Housing Tax Credit (LIHTC) Qualified Census Tracts [Dataset]. https://catalog.data.gov/dataset/qualified-census-tracts
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    Dataset updated
    Mar 1, 2024
    Dataset provided by
    United States Department of Housing and Urban Developmenthttp://www.hud.gov/
    Description

    A Qualified Census Tract (QCT) is any census tract (or equivalent geographic area defined by the Census Bureau) in which at least 50% of households have an income less than 60% of the Area Median Gross Income (AMGI). HUD has defined 60% of AMGI as 120% of HUD's Very Low Income Limits (VLILs), which are based on 50% of area median family income, adjusted for high cost and low income areas.

  6. Households who spend more than 30 percent of income on housing

    • data.amerigeoss.org
    esri rest, html
    Updated Jan 7, 2020
    + more versions
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    ESRI (2020). Households who spend more than 30 percent of income on housing [Dataset]. https://data.amerigeoss.org/id/dataset/households-who-spend-more-than-30-percent-of-income-on-housing
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    esri rest, htmlAvailable download formats
    Dataset updated
    Jan 7, 2020
    Dataset provided by
    Esrihttp://esri.com/
    Description

    This map shows households that spend more than 30 percent of their income on housing, a threshold widely used by many affordable housing advocates and official government sources including Housing and Urban Development. Census asks about income and housing costs to understand whether housing is affordable in local communities. When housing is not sufficient or not affordable, income data helps communities:

    • Enroll eligible households in programs designed to assist them.
    • Qualify for grants from the Community Development Block Grant (CDBG), HOME Investment Partnership Program, Emergency Solutions Grants (ESG), Housing Opportunities for Persons with AIDS (HOPWA), and other programs.
    When rental housing is not affordable, the Department of Housing and Urban Development (HUD) uses rent data to determine the amount of tenant subsidies in housing assistance programs.

    Map opens in Atlanta. Use the bookmarks or search bar to view other cities. Data is symbolized to show the relationship between burdensome housing costs for owner households with a mortgage and renter households:

    legned

    This map uses these hosted feature layers containing the most recent American Community Survey data. These layers are part of the ArcGIS Living Atlas, and are updated every year when the American Community Survey releases new estimates, so values in the map always reflect the newest data available.

  7. A

    Income-Restricted Housing Inventory

    • data.boston.gov
    csv, pdf
    Updated Jul 6, 2023
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    Mayor's Office of Housing (2023). Income-Restricted Housing Inventory [Dataset]. https://data.boston.gov/dataset/income-restricted-housing
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    pdf(63774), csv(102677), pdf(63838), csv(113262), csv(113058), pdf(104953), pdf(415408), csv(118206)Available download formats
    Dataset updated
    Jul 6, 2023
    Dataset authored and provided by
    Mayor's Office of Housing
    License

    ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
    License information was derived automatically

    Description

    This data, maintained by the Mayor’s Office of Housing (MOH), is an inventory of all income-restricted units in the city. This data includes public housing owned by the Boston Housing Authority (BHA), privately- owned housing built with funding from DND and/or on land that was formerly City-owned, and privately-owned housing built without any City subsidy, e.g., created using Low-Income Housing Tax Credits (LIHTC) or as part of the Inclusionary Development Policy (IDP). Information is gathered from a variety of sources, including the City's IDP list, permitting and completion data from the Inspectional Services Department (ISD), newspaper advertisements for affordable units, Community Economic Development Assistance Corporation’s (CEDAC) Expiring Use list, and project lists from the BHA, the Massachusetts Department of Housing and Community Development (DHCD), MassHousing, and the U.S. Department of Housing and Urban Development (HUD), among others. The data is meant to be as exhaustive and up-to-date as possible, but since many units are not required to report data to the City of Boston, MOH is constantly working to verify and update it. See the data dictionary for more information on the structure of the data and important notes. The database only includes units that have a deed-restriction. It does not include tenant-based (also known as mobile) vouchers, which subsidize rent, but move with the tenant and are not attached to a particular unit. There are over 22,000 tenant-based vouchers in the city of Boston which provide additional affordability to low- and moderate-income households not accounted for here. The Income-Restricted Housing report can be directly accessed here:
    https://www.boston.gov/sites/default/files/file/2023/04/Income%20Restricted%20Housing%202022_0.pdf

    Learn more about income-restricted housing (as well as other types of affordable housing) here: https://www.boston.gov/affordable-housing-boston#income-restricted

  8. Low and Moderate Income Areas

    • catalog.data.gov
    • s.cnmilf.com
    Updated Mar 1, 2024
    + more versions
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    U.S. Department of Housing and Urban Development (2024). Low and Moderate Income Areas [Dataset]. https://catalog.data.gov/dataset/hud-low-and-moderate-income-areas
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    Dataset updated
    Mar 1, 2024
    Dataset provided by
    United States Department of Housing and Urban Developmenthttp://www.hud.gov/
    Description

    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.

  9. 2013 to 2016 Picture of Subsidized Housing Data

    • dev.datalumos.org
    • test.datalumos.org
    • +1more
    delimited
    Updated Aug 10, 2017
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    U.S. Department of Housing and Urban Development (2017). 2013 to 2016 Picture of Subsidized Housing Data [Dataset]. http://doi.org/10.3886/E100906V1
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    delimitedAvailable download formats
    Dataset updated
    Aug 10, 2017
    Dataset provided by
    United States Department of Housing and Urban Developmenthttp://www.hud.gov/
    Authors
    U.S. Department of Housing and Urban Development
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description
    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

  10. d

    EOA.B.6_Median Family Income

    • catalog.data.gov
    Updated Aug 25, 2023
    + more versions
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    EOA.B.6_Median Family Income [Dataset]. https://catalog.data.gov/dataset/eoa-b-6-median-family-income
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    Dataset updated
    Aug 25, 2023
    Dataset provided by
    data.austintexas.gov
    Description

    Median family income (MFI) is calculated annually by the U.S. Department of Housing and Urban Development (HUD) to help set income limits that determine eligibility for assisted housing programs. HUD uses the median income from the American Community Survey (ACS) as a baseline and then factors in the national consumer price index and other variables to establish an area MFI. For more information about how HUD calculates this value, please visit: https://www.huduser.gov/portal/datasets/il.html

  11. g

    Low-Income Housing Tax Credit (LIHTC) Qualified Census Tract (QCT) |...

    • gimi9.com
    Updated Jun 15, 2020
    + more versions
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    (2020). Low-Income Housing Tax Credit (LIHTC) Qualified Census Tract (QCT) | gimi9.com [Dataset]. https://www.gimi9.com/dataset/data-gov_low-income-housing-tax-credit-lihtc-qualified-census-tract-qct/
    Explore at:
    Dataset updated
    Jun 15, 2020
    Description

    The Low-Income Housing Tax Credit (LIHTC) is the most important resource for creating affordable housing in the United States today. The LIHTC database, created by HUD and available to the public since 1997, contains information on 48,672 projects and 3.23 million housing units placed in service since 1987. 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.

  12. w

    NYCHA Applicant Income Limits

    • data.wu.ac.at
    • datadiscoverystudio.org
    csv, json, rdf, xml
    Updated Oct 3, 2017
    + more versions
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    City of New York (2017). NYCHA Applicant Income Limits [Dataset]. https://data.wu.ac.at/odso/data_gov/YjQyN2EwNGQtMzQxMi00ZTQzLTgxM2YtMmZjMjMyODBkNzIw
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    csv, json, rdf, xmlAvailable download formats
    Dataset updated
    Oct 3, 2017
    Dataset provided by
    City of New York
    Description

    Income limits by household size for public housing

  13. Proportion of income to housing across India 2010-2023

    • statista.com
    Updated Aug 30, 2024
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    Proportion of income to housing across India 2010-2023 [Dataset]. https://www.statista.com/statistics/1032919/india-house-price-income-ratio/
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    Dataset updated
    Aug 30, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    India
    Description

    In 2023, Ahmedabad had the most affordable housing market of the eight biggest metropolitan areas in India with a proportion of 21 percent of income to monthly instalment of a housing unit. In Mumbai the affordability index was at 51 percent, the only city with higher than threshold affordability ratio set at 50 percent. However, the affordability index has significantly improved from pre-pandemic times in 2019 for many cities including Mumbai, Bengaluru and NCR.

  14. a

    Low to Moderate Income Population by Block Group

    • hudgis-hud.opendata.arcgis.com
    • data.lojic.org
    Updated Oct 2, 2024
    + more versions
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    Department of Housing and Urban Development (2024). Low to Moderate Income Population by Block Group [Dataset]. https://hudgis-hud.opendata.arcgis.com/datasets/low-to-moderate-income-population-by-block-group
    Explore at:
    Dataset updated
    Oct 2, 2024
    Dataset authored and provided by
    Department of Housing and Urban Development
    Area covered
    North Pacific Ocean, Pacific Ocean
    Description

    The Community Development Block Grant (CDBG) program requires that each CDBG funded activity must either principally benefit low- and moderate-income persons, aid in the prevention or elimination of slums or blight, or meet a community development need having a particular urgency because existing conditions pose a serious and immediate threat to the health or welfare of the community and other financial resources are not available to meet that need. With respect to activities that principally benefit low- and moderate-income persons, at least 51 percent of the activity's beneficiaries must be low and moderate income. For CDBG, a person is considered to be of low income only if he or she is a member of a household whose income would qualify as "very low income" under the Section 8 Housing Assistance Payments program. Generally, these Section 8 limits are based on 50% of area median. Similarly, CDBG moderate income relies on Section 8 "lower income" limits, which are generally tied to 80% of area median. These data are from the 2011-2015 American Community Survey (ACS). To learn more about the Low to Moderate Income Populations visit: https://www.hudexchange.info/programs/acs-low-mod-summary-data/, for questions about the spatial attribution of this dataset, please reach out to us at GISHelpdesk@hud.gov. Data Dictionary: DD_Low to Moderate Income Populations by Block GroupDate of Coverage: ACS 2020-2016

  15. House-price-to-income ratio in selected countries worldwide 2023

    • statista.com
    • flwrdeptvarieties.store
    Updated Mar 5, 2025
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    Statista (2025). House-price-to-income ratio in selected countries worldwide 2023 [Dataset]. https://www.statista.com/statistics/237529/price-to-income-ratio-of-housing-worldwide/
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    Dataset updated
    Mar 5, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Worldwide
    Description

    Portugal, Canada, and the United States were the countries with the highest house price to income ratio in 2023. In all three countries, the index exceeded 130 index points, while the average for all OECD countries stood at 117.5 index points. The index measures the development of housing affordability and is calculated by dividing nominal house price by nominal disposable income per head, with 2015 set as a base year when the index amounted to 100. An index value of 120, for example, would mean that house price growth has outpaced income growth by 20 percent since 2015. How have house prices worldwide changed since the COVID-19 pandemic? House prices started to rise gradually after the global financial crisis (2007–2008), but this trend accelerated with the pandemic. The countries with advanced economies, which usually have mature housing markets, experienced stronger growth than countries with emerging economies. Real house price growth (accounting for inflation) peaked in 2022 and has since lost some of the gain. Although, many countries experienced a decline in house prices, the global house price index shows that property prices in 2023 were still substantially higher than before COVID-19. Renting vs. buying In the past, house prices have grown faster than rents. However, the home affordability has been declining notably, with a direct impact on rental prices. As people struggle to buy a property of their own, they often turn to rental accommodation. This has resulted in a growing demand for rental apartments and soaring rental prices.

  16. Monthly income limit for subsidized flat eligibility in HK by household size...

    • statista.com
    Updated Jun 21, 2023
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    Monthly income limit for subsidized flat eligibility in HK by household size 2023 [Dataset]. https://www.statista.com/statistics/639994/hong-kong-monthly-income-limit-for-subsizied-rental-housing-eligibility-by-elderly-household-size/
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    Dataset updated
    Jun 21, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Hong Kong
    Description

    This statistic depicts the maximum monthly income limits for government-subsidized rental housing eligibility in Hong Kong as of April 2023, by household size (of unrelated elderly individuals aged 60 and over). According to the source, the maximum monthly income limit for a household of five unrelated elderly people was 44,620 Hong Kong dollars in order to apply for a government-subsidized flat in Hong Kong.

  17. T

    2014_Section 8 Income Limits

    • data.opendatanetwork.com
    application/rdfxml +5
    Updated May 13, 2014
    + more versions
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    Department of Housing and Urban Development (2014). 2014_Section 8 Income Limits [Dataset]. https://data.opendatanetwork.com/w/8cyn-m6w2/default?cur=0-QK8VZySow&from=RRibLn87wpV
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    csv, xml, tsv, json, application/rssxml, application/rdfxmlAvailable download formats
    Dataset updated
    May 13, 2014
    Dataset authored and provided by
    Department of Housing and Urban Development
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Description

    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. FY2014.

  18. d

    Multifamily Tax Subsidy Income Limits.

    • datadiscoverystudio.org
    • catalog.data.gov
    • +1more
    html
    Updated Mar 15, 2015
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    (2015). Multifamily Tax Subsidy Income Limits. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/aa4ecbc0e8b044c19377b63c6b5728bb/html
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    htmlAvailable download formats
    Dataset updated
    Mar 15, 2015
    Description

    description: Multifamily Tax Subsidy Projects (MTSP) Income Limits were developed to meet the requirements established by the Housing and Economic Recovery Act of 2008 (Public Law 110-289). MTSP Income Limits are provided and are used to determine qualification levels as well as set maximum rental rates. Complete documentation is provided for selecting Income Limits of any area of the country.; abstract: Multifamily Tax Subsidy Projects (MTSP) Income Limits were developed to meet the requirements established by the Housing and Economic Recovery Act of 2008 (Public Law 110-289). MTSP Income Limits are provided and are used to determine qualification levels as well as set maximum rental rates. Complete documentation is provided for selecting Income Limits of any area of the country.

  19. g

    Archival Version

    • datasearch.gesis.org
    Updated Aug 5, 2015
    + more versions
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    United States Department of Commerce. Bureau of the Census (2015). Archival Version [Dataset]. http://doi.org/10.3886/ICPSR13568
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    Dataset updated
    Aug 5, 2015
    Dataset provided by
    da|ra (Registration agency for social science and economic data)
    Authors
    United States Department of Commerce. Bureau of the Census
    Area covered
    United States
    Description

    These Public Use Microdata Sample (PUMS) files contain records representing a 5-percent sample of the occupied and vacant housing units in the United States and the people in the occupied units. People living in group quarters also are included. The files provide individual weights for persons and housing units, which when applied to the individual records, expand the sample to the relevant totals. Some of the items on the housing record are acreage, agricultural sales, allocation flags for housing items, bedrooms, condominium fee, contract rent, cost of utilities, family income in 1999, family, subfamily, and relationship recodes, farm residence, fire, hazard, and flood insurance, fuels used, gross rent, heating fuel, household income in 1999, household type, housing unit weight, kitchen facilities, linguistic isolation, meals included in rent, mobile home costs, mortgage payment, mortgage status, plumbing facilities, presence and age of own children, presence of subfamilies in household, real estate taxes, number of rooms, selected monthly owner costs, size of building (units in structure), state code, telephone service, tenure, vacancy status, value (of housing unit), vehicles available, year householder moved into unit, and year structure built. Some of the items on the person record are ability to speak English, age, allocation flags for population items, ancestry, citizenship, class of worker, disability status, earnings in 1999, educational attainment, grandparents as caregivers, Hispanic origin, hours worked, income in 1999 by type, industry, language spoken at home, marital status, means of transportation to work, migration Public Use Microdata Area (PUMA), migration state, mobility status, veteran period of service, years of military service, occupation, persons weight, personal care limitation, place of birth, place of work PUMA, place of work state, poverty status in 1999, race, relationship, school enrollment and type of school, time of departure for work, travel time to work, vehicle occupancy, weeks worked in 1999, work limitation status, work status in 1999, and year of entry. The Public Use Microdata Sample (PUMS) files contain geographic units known as Public Use Microdata Areas (PUMAs) and super-Public Use Microdata Areas (super-PUMAs). To maintain the confidentiality of the PUMS data, minimum population thresholds are set for PUMAs and super-PUMAs. For the 1-percent state-level files, the super-PUMAs contain a minimum population of 400,000 and are composed of a PUMA or a group of contiguous PUMAs delineated on the 5-percent state-level PUMS files. Super-PUMAs are a new geographic entity for Census 2000. The 5-percent state-level files contain PUMAs, each having a minimum population of 100,000, and corresponding super-PUMA codes. Each state is separately identified and may be comprised of one or more super-PUMAs or PUMAs. Large metropolitan areas may be subdivided into super-PUMAs and PUMAs. PUMAs and super-PUMAs do not cross state lines. Super-PUMAs and PUMAs also are defined for place of residence on April 1, 1995, and place of work.

  20. O

    Strategic Measure_Median Family Income

    • data.austintexas.gov
    • datahub.austintexas.gov
    • +2more
    application/rdfxml +5
    Updated Sep 20, 2022
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    City of Austin, Texas - data.austintexas.gov (2022). Strategic Measure_Median Family Income [Dataset]. https://data.austintexas.gov/Budget-and-Finance/Strategic-Measure_Median-Family-Income/imdv-bz5y
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    xml, application/rssxml, csv, json, application/rdfxml, tsvAvailable download formats
    Dataset updated
    Sep 20, 2022
    Dataset authored and provided by
    City of Austin, Texas - data.austintexas.gov
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Description

    This dataset provides information about the median family income in Austin (SD23 measure EOA.B.6). Median family income (MFI) is calculated annually by the U.S. Department of Housing and Urban Development (HUD) to help set income limits that determine eligibility for assisted housing programs. This dataset includes the MFI calculated by HUD for the Austin-Round Rock MSA and the United States. For years prior to FY 2016, HUD reported on the Austin-Round Rock-San Marcos MSA instead of the Austin-Round Rock MSA.

    This information is important in understanding economic and affordability trends in Austin. Additionally, the Housing and Planning Department uses median family income data in setting income limits for affordable housing programs in Austin.

    View more details and insights related to this dataset on the story page: https://data.austintexas.gov/stories/s/Median-Family-Income/r93e-edn2

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Statista (2023). Monthly income limit for subsidized rental housing in Hong Kong by family size 2023 [Dataset]. https://www.statista.com/statistics/639940/hong-kong-monthly-income-limit-for-subsidized-flat-eligibility-by-familiy-size/
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Monthly income limit for subsidized rental housing in Hong Kong by family size 2023

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Dataset updated
Jun 21, 2023
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
Apr 2023
Area covered
Hong Kong
Description

This statistic depicts the maximum monthly income limits for government-subsidized rental housing eligibility in Hong Kong as of April 2023, by family size. According to the source, the maximum monthly income limit for a family of three people to be eligible to receive government-subsidized rental housing in Hong Kong was 24,410 Hong Kong dollars.

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