37 datasets found
  1. Low and Moderate Income Areas

    • catalog.data.gov
    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.

  2. 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.

  3. Low Income Communities- 30% or More of Population Under HUD 80% AMI and...

    • data.virginia.gov
    Updated Sep 12, 2024
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    Virginia Department of Environmental Quality (2024). Low Income Communities- 30% or More of Population Under HUD 80% AMI and Under Two Times Federal Poverty Level (2011-2018 ACS) Open Data [Dataset]. https://data.virginia.gov/dataset/low-income-communities-30-or-more-of-population-under-hud-80-ami-and-under-two-times-federal-po
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    arcgis geoservices rest api, geojson, csv, html, kml, zipAvailable download formats
    Dataset updated
    Sep 12, 2024
    Dataset authored and provided by
    Virginia Department of Environmental Qualityhttps://deq.virginia.gov/
    Description

    This dataset represents the geospatial extent as polygons and the corresponding attribution for census block groups that meet the definition of low-income communities according to the Virginia 2020 Environmental Justice Act: “Low-income community” definition: “’Low-income community’ means any census block group in which 30 percent or more of the population is composed of people with low income.”

    The referenced “low income” definition is also provided below: “Low income” definition: “’Low income’ means having an annual household income equal to or less than the greater of (i) an amount equal to 80 percent of the median income of the area in which the household is located, as reported by the Department of Housing and Urban Development, and (ii) 200 percent of the Federal Poverty Level.”


    Click Here to view Data Fact Sheet.

  4. D

    Multifamily Housing Construction Sites

    • detroitdata.org
    Updated Jan 1, 2025
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    City of Detroit (2025). Multifamily Housing Construction Sites [Dataset]. https://detroitdata.org/dataset/multifamily-housing-construction-sites
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    geojson, html, kml, txt, gpkg, zip, xlsx, gdb, arcgis geoservices rest api, csvAvailable download formats
    Dataset updated
    Jan 1, 2025
    Dataset provided by
    City of Detroit
    Description

    This dataset contains multifamily affordable and market-rate housing sites (typically 5+ units) in the City of Detroit that have been built or rehabbed since 2015, or are currently under construction. Most sites are rental housing, though some are for sale. The data are collected from developers, other government departments and agencies, and proprietary data sources in order to track new multifamily and affordable housing construction and rehabilitation occurring in throughout the city, in service of the City's multifamily affordable housing goals. Data are compiled by various teams within the Housing and Revitalization Department (HRD), led by the Preservation Team. This dataset reflects HRD's current knowledge of multifamily units under construction in the city and will be updated as the department's knowledge changes. For more information about the City's multifamily affordable housing policies and goals, visit here.Affordability level for affordable units are measured by the percentage of the Area Median Income (AMI) that a household could earn for that unit to be considered affordable for them. For example, a unit that rents at a 60% AMI threshold would be affordable to a household earning 60% or less of the median income for the area. Rent affordability is typically defined as housing costs consuming 30% or less of monthly income. Regulated housing programs are designed to serve households based on certain income benchmarks relative to AMI, and these income benchmarks vary based on household size. Detroit city's AMI levels are set by the Department of Housing and Urban Development (HUD) for the Detroit-Warren-Livonia, MI Metro Fair Market Rent (FMR) area. For more information on AMI in Detroit, visit here.

  5. d

    Loudoun County 2025 Apartment Guide

    • catalog.data.gov
    Updated Jul 12, 2025
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    The citation is currently not available for this dataset.
    Explore at:
    Dataset updated
    Jul 12, 2025
    Dataset provided by
    Loudoun County GIS
    Area covered
    Loudoun County
    Description

    Affordable Rental Housing in Loudoun County Affordable housing communities are eligible to renters based on Area Median Income (AMI) as defined by the U.S. Department of Housing and Urban Development (HUD). AMI is updated annually in April by HUD. Please refer to the most recent AMI levels here to learn if you are eligible.The Unmet Housing Needs Units (UHNU) Program offers a limited number of apartments available to eligible households with a gross income no more than 30% of the Area Median Income. Communities with the UHNU symbol in this guide have UHNU units. The County is currently accepting applications. To request an application for the UHNU Program, send an Email to the Loudoun County Department of Housing and Community Development. The Affordable Dwelling Unit (ADU) Rental Program offers eligible households the opportunity to rent an apartment that is below market rate. The total household gross income must be between 30% – 50% of the Area Median Income. Communities with the ADU symbol in this guide have ADU units. If eligible, applicants will be placed on a waitlist. The waitlist is Open. To review requirements and access the application, please visit Affordable Dwelling Unit page for more information.The Low-Income Housing Tax Credit (LIHTC) Program offers apartments affordable to households earning no more than 60% of the Area Median Income. Communities with the TC symbol in this guide have LIHTC units. The program is administered by Virginia Housing and the Loudoun County Department of Housing and Community Development does not manage LIHTC units. Call each community directly for more information and to apply.Apartment Communities for Older Adults are included in this map. For age restrictions and other requirements, contact each communities directly. For information on retirement communities, assisted living facilities, and nursing home placement, contact Loudoun County Adult and Aging Services at (703) 771-5742, or visit the Aging & Independence page for more information.Apartment Rental Guide

  6. 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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    csv(15447), csv(15546), docx(31186)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.

  7. Cost Burdened Households

    • opendata.ramseycounty.us
    application/rdfxml +5
    Updated Jun 27, 2023
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    Urban Institute (2023). Cost Burdened Households [Dataset]. https://opendata.ramseycounty.us/Housing-Property-and-Development/Cost-Burdened-Households/um35-qu8s/data
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    tsv, csv, application/rssxml, json, xml, application/rdfxmlAvailable download formats
    Dataset updated
    Jun 27, 2023
    Dataset authored and provided by
    Urban Institutehttp://urban.org/
    Description

    Data from the U.S. Department of Housing and Urban Development Office of Policy Development and Research (HUD PD&R) and American Community Survey provided by the Urban Institute. This metric reports the share of low-income households at three income levels, low-income (below 80 percent of area median income, or AMI), very low-income (below 50 percent of AMI), and extremely low-income (below 30 percent of AMI), that spend more than half (>50%) of their household income on rent.

  8. Low to Moderate Income Population by Block Group

    • datasets.ai
    • data-dathere.dataops.dathere.com
    • +2more
    21, 57
    Updated Sep 21, 2024
    + more versions
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    Department of Housing and Urban Development (2024). Low to Moderate Income Population by Block Group [Dataset]. https://datasets.ai/datasets/low-to-moderate-income-population-by-block-group
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    21, 57Available download formats
    Dataset updated
    Sep 21, 2024
    Dataset provided by
    United States Department of Housing and Urban Developmenthttp://www.hud.gov/
    Authors
    Department of Housing and Urban Development
    Description

    This service identifies U.S. Census Block Groups in which 51% or more of the households earn less than 80 percent of the Area Median Income (AMI). 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.

  9. d

    Loudoun County 2024 Apartment Guide

    • catalog.data.gov
    • data.virginia.gov
    Updated Jan 31, 2025
    + more versions
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    Loudoun County GIS (2025). Loudoun County 2024 Apartment Guide [Dataset]. https://catalog.data.gov/dataset/loudoun-county-2024-apartment-guide
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    Dataset updated
    Jan 31, 2025
    Dataset provided by
    Loudoun County GIS
    Area covered
    Loudoun County
    Description

    Affordable Rental Housing in Loudoun CountyAffordable housing communities are eligible to renters based on Area Median Income (AMI) as defined by the U.S. Department of Housing and Urban Development (HUD). AMI is updated annually in April by HUD. Please reference the most recent AMI levels here to learn if you are eligible.The Unmet Housing Needs Units (UHNU) Program is managed by Loudoun County Department of Housing and Community Development. In this program, apartment communities have affordable units for eligible households earning up to 30% of the Area Median Income. Applicants must first obtain an UHNU certificate from DHCD before they can rent an apartment in these communities. For more information, see the Unmet Housing Needs Unit page for more information.The Affordable Dwelling Unit (ADU) Rental Program is managed by Loudoun County Department of Housing and Community Development. In this program, apartment communities have affordable units for eligible households earning between 30% - 50% of the Area Median Income. Applicants must first obtain an ADU Rental Certificate from DHCD before they can rent an apartment in these communities. To apply online, see the Affordable Dwelling Unit page for more information.The Low-Income Housing Tax Credit (LIHTC) Program is managed by Virginia Housing. In this program, apartment communities have affordable units for eligible households earning up to 60% of the Area Median Income. Contact each community directly to apply.Apartment Communities for Older Adults are include in this map. For age restrictions and other requirements, contact the apartment communities directly. For information on retirement communities, assisted living facilities, and nursing home placement, contact Loudoun County Adult and Aging Services at (703) 771-5742, Option 3 or visit the Aging & Independence page for more information.2024 Apartment Rental Guide

  10. a

    Estimated Displacement Risk - Overall Displacement

    • affh-data-resources-cahcd.hub.arcgis.com
    • affh-data-and-mapping-resources-v-2-0-cahcd.hub.arcgis.com
    Updated Sep 27, 2022
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    Housing and Community Development (2022). Estimated Displacement Risk - Overall Displacement [Dataset]. https://affh-data-resources-cahcd.hub.arcgis.com/datasets/CAHCD::estimated-displacement-risk-overall-displacement/about
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    Dataset updated
    Sep 27, 2022
    Dataset authored and provided by
    Housing and Community Development
    Area covered
    Description

    Urban Displacement Project’s (UDP) Estimated Displacement Risk (EDR) model for California identifies varying levels of displacement risk for low-income renter households in all census tracts in the state from 2015 to 2019(1). The model uses machine learning to determine which variables are most strongly related to displacement at the household level and to predict tract-level displacement risk statewide while controlling for region. UDP defines displacement risk as a census tract with characteristics which, according to the model, are strongly correlated with more low-income population loss than gain. In other words, the model estimates that more low-income households are leaving these neighborhoods than moving in.This map is a conservative estimate of low-income loss and should be considered a tool to help identify housing vulnerability. Displacement may occur because of either investment, disinvestment, or disaster-driven forces. Because this risk assessment does not identify the causes of displacement, UDP does not recommend that the tool be used to assess vulnerability to investment such as new housing construction or infrastructure improvements. HCD recommends combining this map with on-the-ground accounts of displacement, as well as other related data such as overcrowding, cost burden, and income diversity to achieve a full understanding of displacement risk.If you see a tract or area that does not seem right, please fill out this form to help UDP ground-truth the method and improve their model.How should I read the displacement map layers?The AFFH Data Viewer includes three separate displacement layers that were generated by the EDR model. The “50-80% AMI” layer shows the level of displacement risk for low-income (LI) households specifically. Since UDP has reason to believe that the data may not accurately capture extremely low-income (ELI) households due to the difficulty in counting this population, UDP combined ELI and very low-income (VLI) household predictions into one group—the “0-50% AMI” layer—by opting for the more “extreme” displacement scenario (e.g., if a tract was categorized as “Elevated” for VLI households but “Extreme” for ELI households, UDP assigned the tract to the “Extreme” category for the 0-50% layer). For these two layers, tracts are assigned to one of the following categories, with darker red colors representing higher displacement risk and lighter orange colors representing less risk:• Low Data Quality: the tract has less than 500 total households and/or the census margins of error were greater than 15% of the estimate (shaded gray).• Lower Displacement Risk: the model estimates that the loss of low-income households is less than the gain in low-income households. However, some of these areas may have small pockets of displacement within their boundaries. • At Risk of Displacement: the model estimates there is potential displacement or risk of displacement of the given population in these tracts.• Elevated Displacement: the model estimates there is a small amount of displacement (e.g., 10%) of the given population.• High Displacement: the model estimates there is a relatively high amount of displacement (e.g., 20%) of the given population.• Extreme Displacement: the model estimates there is an extreme level of displacement (e.g., greater than 20%) of the given population. The “Overall Displacement” layer shows the number of income groups experiencing any displacement risk. For example, in the dark red tracts (“2 income groups”), the model estimates displacement (Elevated, High, or Extreme) for both of the two income groups. In the light orange tracts categorized as “At Risk of Displacement”, one or all three income groups had to have been categorized as “At Risk of Displacement”. Light yellow tracts in the “Overall Displacement” layer are not experiencing UDP’s definition of displacement according to the model. Some of these yellow tracts may be majority low-income experiencing small to significant growth in this population while in other cases they may be high-income and exclusive (and therefore have few low-income residents to begin with). One major limitation to the model is that the migration data UDP uses likely does not capture some vulnerable populations, such as undocumented households. This means that some yellow tracts may be experiencing high rates of displacement among these types of households. MethodologyThe EDR is a first-of-its-kind model that uses machine learning and household level data to predict displacement. To create the EDR, UDP first joined household-level data from Data Axle (formerly Infogroup) with tract-level data from the 2014 and 2019 5-year American Community Survey; Affirmatively Furthering Fair Housing (AFFH) data from various sources compiled by California Housing and Community Development; Longitudinal Employer-Household Dynamics (LEHD) Origin-Destination Employment Statistics (LODES) data; and the Environmental Protection Agency’s Smart Location Database.UDP then used a machine learning model to determine which variables are most strongly related to displacement at the household level and to predict tract-level displacement risk statewide while controlling for region. UDP modeled displacement risk as the net migration rate of three separate renter households income categories: extremely low-income (ELI), very low-income (VLI), and low-income (LI). These households have incomes between 0-30% of the Area Median Income (AMI), 30-50% AMI, and 50-80% AMI, respectively. Tracts that have a predicted net loss within these groups are considered to experience displacement in three degrees: elevated, high, and extreme. UDP also includes a “At Risk of Displacement” category in tracts that might be experiencing displacement.What are the main limitations of this map?1. Because the map uses 2019 data, it does not reflect more recent trends. The pandemic, which started in 2020, has exacerbated income inequality and increased housing costs, meaning that UDP’s map likely underestimates current displacement risk throughout the state.2. The model examines displacement risk for renters only, and does not account for the fact that many homeowners are also facing housing and gentrification pressures. As a result, the map generally only highlights areas with relatively high renter populations, and neighborhoods with higher homeownership rates that are known to be experiencing gentrification and displacement are not as prominent as one might expect.3. The model does not incorporate data on new housing construction or infrastructure projects. The map therefore does not capture the potential impacts of these developments on displacement risk; it only accounts for other characteristics such as demographics and some features of the built environment. Two of UDP’s other studies—on new housing construction and green infrastructure—explore the relationships between these factors and displacement.Variable ImportanceFigures 1, 2, and 3 show the most important variables for each of the three models—ELI, VLI, and LI. The horizontal bars show the importance of each variable in predicting displacement for the respective group. All three models share a similar order of variable importance with median rent, percent non-white, rent gap (i.e., rental market pressure calculated using the difference between nearby and local rents), percent renters, percent high-income households, and percent of low-income households driving much of the displacement estimation. Other important variables include building types as well as economic and socio-demographic characteristics. For a full list of the variables included in the final models, ranked by descending order of importance, and their definitions see all three tabs of this spreadsheet. “Importance” is defined in two ways: 1. % Inclusion: The average proportion of times this variable was included in the model’s decision tree as the most important or driving factor.2. MeanRank: The average rank of importance for each variable across the numerous model runs where higher numbers mean higher ranking. Figures 1 through 3 below show each of the model variable rankings ordered by importance. The red lines represent Jenks Breaks, which are designed to sort values into their most “natural” clusters. Variable importance for each model shows a substantial drop-off after about 10 variables, meaning a relatively small number of variables account for a large amount of the predictive power in UDP’s displacement model.Figure 1. Variable Importance for Low Income HouseholdsFor a description of each variable and its source, see this spreadsheet.Figure 2. Variable Importance for Very Low Income HouseholdsFor a description of each variable and its source, see this spreadsheet. Figure 3. Variable Importance for Extremely Low Income HouseholdsFor a description of each variable and its source, see this spreadsheet.Source: Chapple, K., & Thomas, T., and Zuk, M. (2022). Urban Displacement Project website. Berkeley, CA: Urban Displacement Project.(1) UDP used this time-frame because (a) the 2020 census had a large non-response rate and it implemented a new statistical modification that obscures and misrepresents racial and economic characteristics at the census tract level and (b) pandemic mobility trends are still in flux and UDP believes 2019 is more representative of “normal” or non-pandemic displacement trends.

  11. a

    Existing Multifamily Housing Sites

    • data-detroitmi.hub.arcgis.com
    • data.ferndalemi.gov
    • +2more
    Updated Sep 15, 2023
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    City of Detroit (2023). Existing Multifamily Housing Sites [Dataset]. https://data-detroitmi.hub.arcgis.com/datasets/10258475651647b78825a5e5765a6c1f
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    Dataset updated
    Sep 15, 2023
    Dataset authored and provided by
    City of Detroit
    Area covered
    Description

    This dataset contains existing multifamily rental sites in the City of Detroit with housing units that have been preserved as affordable since 2018 with assistance from the public sector.Over time, affordable units are at risk of falling off line, either due to obsolescence or conversion to market-rate rents. This dataset contains occupied multifamily rental housing sites (typically 5+ units) in the City of Detroit, including those that have units that have been preserved as affordable since 2015 through public funding, regulatory agreements, and other means of assistance from the public sector. Data are collected from developers, other governmental departments and agencies, and proprietary data sources by various teams within the Housing and Revitalization Department, led by the Preservation Team. Data have been tracked since 2018 in service of citywide housing preservation goals. This reflects HRD's current knowledge of multifamily units in the city and will be updated as the department's knowledge changes. For more information about the City's multifamily affordable housing policies and goals, visit here.Affordability level for affordable units are measured by the percentage of the Area Median Income (AMI) that a household could earn for that unit to be considered affordable for them. For example, a unit that rents at a 60% AMI threshold would be affordable to a household earning 60% or less of the median income for the area. Rent affordability is typically defined as housing costs consuming 30% or less of monthly income. Regulated housing programs are designed to serve households based on certain income benchmarks relative to AMI, and these income benchmarks vary based on household size. Detroit city's AMI levels are set by the Department of Housing and Urban Development (HUD) for the Detroit-Warren-Livonia, MI Metro Fair Market Rent (FMR) area. For more information on AMI in Detroit, visit here.

  12. Underserved Areas Data

    • catalog.data.gov
    Updated Feb 10, 2025
    + more versions
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    Federal Housing Finance Agency (2025). Underserved Areas Data [Dataset]. https://catalog.data.gov/dataset/underserved-areas-data
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    Dataset updated
    Feb 10, 2025
    Dataset provided by
    Federal Housing Finance Agencyhttps://www.fhfa.gov/
    Description

    The Federal Housing Enterprises Financial Safety and Soundness Act of 1992 (Safety and Soundness Act) provides for the establishment of single-family and multifamily goals each year, including a single-family purchase money mortgage goal for families residing in low-income areas. The Safety and Soundness Act defines "low-income area" as: (a) census tracts or block numbering areas in which the median income does not exceed 80 percent of area median income (AMI), (b) families with income not greater than 100 percent of AMI who reside in minority census tracts, and (c) families with income not greater than 100 percent of AMI who reside in designated disaster areas. A “minority census tract” is a census tract that has a minority population of at least 30 percent and a median income of less than 100 percent of the AMI. Census tract level data identifying these areas are available below for 2010 and 2011 based on 2000 Census tract geography, for 2012 through 2021 based on 2010 Census tract geography, and for 2022 and subsequent years based on 2020 Census tract geography.

  13. Low Income Communities- 30% or More of Population Under HUD 80% AMI and...

    • opendata.winchesterva.gov
    Updated Sep 12, 2024
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    Virginia State Data (2024). Low Income Communities- 30% or More of Population Under HUD 80% AMI and Under Two Times Federal Poverty Level (2011-2018 ACS) Open Data [Dataset]. https://opendata.winchesterva.gov/dataset/low-income-communities-30-or-more-of-population-under-hud-80-ami-and-under-two-times-federal-po
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    zip, csv, arcgis geoservices rest api, geojson, kml, htmlAvailable download formats
    Dataset updated
    Sep 12, 2024
    Dataset provided by
    Virginia Department of Environmental Qualityhttps://deq.virginia.gov/
    Authors
    Virginia State Data
    Description

    This dataset represents the geospatial extent as polygons and the corresponding attribution for census block groups that meet the definition of low-income communities according to the Virginia 2020 Environmental Justice Act: “Low-income community” definition: “’Low-income community’ means any census block group in which 30 percent or more of the population is composed of people with low income.”

    The referenced “low income” definition is also provided below: “Low income” definition: “’Low income’ means having an annual household income equal to or less than the greater of (i) an amount equal to 80 percent of the median income of the area in which the household is located, as reported by the Department of Housing and Urban Development, and (ii) 200 percent of the Federal Poverty Level.”


    Click Here to view Data Fact Sheet.

  14. Average rent affordable for different income type households in California,...

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Average rent affordable for different income type households in California, U.S. 2024 [Dataset]. https://www.statista.com/statistics/1255166/average-rent-affordable-for-different-income-california-usa/
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    California, United States
    Description

    The average monthly rent in California for a two-bedroom apartment was ***** U.S. dollars in 2024, while a one-bedroom unit cost ***** U.S. dollars. Only renters who earn the area median income (AMI) can afford two-bedroom housing in California. Rent affordable to renters with full-time jobs at mean renter wage, or 30 percent area median income, was lower than the fair market rent of a two-bedroom and one-bedroom apartment in California, making this housing in this state not affordable for them. The rent in California ranked highest among all other states in the United States for a two bedroom apartment in 2024.

  15. D

    Existing Multifamily Housing Sites

    • detroitdata.org
    Updated Jan 1, 2025
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    City of Detroit (2025). Existing Multifamily Housing Sites [Dataset]. https://detroitdata.org/dataset/existing-multifamily-housing-sites
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    zip, kml, arcgis geoservices rest api, csv, geojson, xlsx, gdb, gpkg, txt, htmlAvailable download formats
    Dataset updated
    Jan 1, 2025
    Dataset provided by
    City of Detroit
    Description

    This dataset contains existing multifamily rental sites in the City of Detroit with housing units that have been preserved as affordable since 2018 with assistance from the public sector.

    Over time, affordable units are at risk of falling off line, either due to obsolescence or conversion to market-rate rents. This dataset contains occupied multifamily rental housing sites (typically 5+ units) in the City of Detroit, including those that have units that have been preserved as affordable since 2015 through public funding, regulatory agreements, and other means of assistance from the public sector. Data are collected from developers, other governmental departments and agencies, and proprietary data sources by various teams within the Housing and Revitalization Department, led by the Preservation Team. Data have been tracked since 2018 in service of citywide housing preservation goals. This reflects HRD's current knowledge of multifamily units in the city and will be updated as the department's knowledge changes. For more information about the City's multifamily affordable housing policies and goals, visit here.

    Affordability level for affordable units are measured by the percentage of the Area Median Income (AMI) that a household could earn for that unit to be considered affordable for them. For example, a unit that rents at a 60% AMI threshold would be affordable to a household earning 60% or less of the median income for the area. Rent affordability is typically defined as housing costs consuming 30% or less of monthly income. Regulated housing programs are designed to serve households based on certain income benchmarks relative to AMI, and these income benchmarks vary based on household size. Detroit city's AMI levels are set by the Department of Housing and Urban Development (HUD) for the Detroit-Warren-Livonia, MI Metro Fair Market Rent (FMR) area. For more information on AMI in Detroit, visit here.

  16. a

    Home For Everyone Tracker Open Data

    • city-of-boise.opendata.arcgis.com
    Updated Jul 5, 2023
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    City of Boise, Idaho (2023). Home For Everyone Tracker Open Data [Dataset]. https://city-of-boise.opendata.arcgis.com/datasets/home-for-everyone-tracker-open-data
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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

    A Home for Everyone is the City of Boise’s (city) initiative to address needs in the community by supporting the development and preservation of housing affordable to residents on Boise budgets. A Home for Everyone has three core goals: produce new homes affordable at 60% of area median income, create permanent supportive housing for households experiencing homelessness, and preserve home affordable at 80% of area median income. This dataset includes information about all homes that count toward the city’s Home for Everyone goals.

    While the “produce affordable housing” and “create permanent supportive housing” goals are focused on supporting the development of new housing, the preservation goal is focused on maintaining existing housing affordable. As a result, many of the data fields related to new development are not relevant to preservation projects. For example, zoning incentives are only applicable to new construction projects.

    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”. 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 when a project involves constructing new housing. The process for building 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.

    To contribute to a city goal, homes must meet affordability requirements 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 housing cost of $1,516. Deeply affordable housing sets the income limit at 60% of area median income, or even 30% of area median income. See Boise Income Guidelines for more details.Project Name – The name of each project. If a row is related to the Home Improvement Loan program, that row aggregates data for all homes that received a loan in that quarter or year. Primary Address – The primary address for the development. Some developments encompass multiple addresses.Project Address(es) – Includes all addresses that are included as part of the development project.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.

  17. FHFA: Enterprise Housing Goals

    • datalumos.org
    Updated Feb 17, 2025
    + more versions
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    Federal Housing Finance Agency (2025). FHFA: Enterprise Housing Goals [Dataset]. http://doi.org/10.3886/E219804V1
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    Dataset updated
    Feb 17, 2025
    Dataset authored and provided by
    Federal Housing Finance Agencyhttps://www.fhfa.gov/
    License

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

    Description

    From landing page:FHFA establishes annual single-family and multifamily housing goals for mortgages purchased by Fannie Mae and Freddie Mac. The Enterprise Housing Goals include separate categories for single-family mortgages on housing that is affordable to low-income and very low-income families, as well as refinanced mortgages for low-income borrowers. FHFA also establishes separate annual goals for multifamily housing. Loans that are eligible for housing goals credit are mortgages on owner-occupied housing with one to four units. The mortgages must be conventional, conforming mortgages, defined as mortgages that are not insured or guaranteed by the Federal Housing Administration or another government agency and with principal balances that do not exceed the conforming loan limits for Enterprise mortgages. This page provides data on Enterprise performance and activity related to the single-family housi​​ng goals. A full glossary of terms is provided below. Single-Family Enterprise Mortgage Acquisitions: Race and Ethnicity Data The new housing goals data tables provide insight on the racial and ethnic composition of loans acquired by the Enterprises that are eligible for housing goals credit. FHFA has provided the racial and ethnic distribution of the Enterprises' acquisitions across each of the current single-family housing goals categories. ​ Single-Family Housing Goal Loan Segments: State-Level Data FHFA is publishing state-level data for each single-family goal loan purchase and refinance segment. It is important to note that FHFA does not set state-level targets but only at the national level. These tables provide the Enterprises' share in each state along with the market share, as calculated by FHFA using the 'static' HMDA data for each year to determine Enterprise housing goals performance each year. It is important to note that HMDA state-level data are impacted by the number of HMDA-exempt reporters in each state. For more information on HMDA reporting requirements, visit the CFPB HMDA Reporting Requirements page.Low-Income Census Tracts, Minority Census Tracts and Designated Disaster Areas Data The Federal Housing Enterprises Financial Safety and Soundness Act of 1992 (Safety and Soundness Act) provides for the establishment of single-family and multifamily goals each year, including a single-family purchase money mortgage goal for families residing in low-income areas. The Safety and Soundness Act defines "low-income area" for the single-family low-income areas home purchase goal as: Census tracts or block numbering areas in which the median income does not exceed 80 percent of area median income (AMI). In addition, for the purposes of this goal, "families residing in low-income areas" also include: Families with income not greater than 100 percent of AMI who reside in minority census tracts. Families with income not greater than 100 percent of AMI who reside in designated disaster areas. ​A "minority census tract" is a census tract that has a minority population of at least 30 percent and a median income of less than 100 percent of the AMI. A "low-income census tract" is census tract in which the median income does not exceed 80 percent of the AMI. Designated disaster areas are identified by FHFA based on the three most recent years' declarations by the Federal Emergency Management Agency (FEMA), where individual assistance payments were authorized by FEMA. A map of census tracts identified as minority census tracts in 2024 can be ​found here. A map of census tracts identified as low-income census tracts in 2024 can be found here. ​Learn more about low-income census tracts, minority census tracts, and designated disaster areas.

  18. l

    Los Angeles County Housing Element (2021-2029) - Sites Inventory

    • data.lacounty.gov
    • geohub.lacity.org
    • +1more
    Updated May 31, 2022
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    County of Los Angeles (2022). Los Angeles County Housing Element (2021-2029) - Sites Inventory [Dataset]. https://data.lacounty.gov/maps/los-angeles-county-housing-element-2021-2029-sites-inventory
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    Dataset updated
    May 31, 2022
    Dataset authored and provided by
    County of Los Angeles
    Area covered
    Description

    IntroductionThis metadata is broken up into different sections that provide both a high-level summary of the Housing Element and more detailed information about the data itself with links to other resources. The following is an excerpt from the Executive Summary from the Housing Element 2021 – 2029 document:The County of Los Angeles is required to ensure the availability of residential sites, at adequate densities and appropriate development standards, in the unincorporated Los Angeles County to accommodate its share of the regional housing need--also known as the Regional Housing Needs Allocation (RHNA). Unincorporated Los Angeles County has been assigned a RHNA of 90,052 units for the 2021-2029 Housing Element planning period, which is subdivided by level of affordability as follows:Extremely Low / Very Low (<50% AMI) - 25,648Lower (50 - 80% AMI) - 13,691Moderate (80 - 120% AMI) - 14,180Above Moderate (>120% AMI) - 36,533Total - 90,052NOTES - Pursuant to State law, the projected need of extremely low income households can be estimated at 50% of the very low income RHNA. Therefore, the County’s projected extremely low income can be estimated at 12,824 units. However, for the purpose of identifying adequate sites for RHNA, no separate accounting of sites for extremely low income households is required. AMI = Area Median IncomeDescriptionThe Sites Inventory (Appendix A) is comprised of vacant and underutilized sites within unincorporated Los Angeles County that are zoned at appropriate densities and development standards to facilitate housing development. The Sites Inventory was developed specifically for the County of Los Angeles, and has built-in features that filter sites based on specific criteria, including access to transit, protection from environmental hazards, and other criteria unique to unincorporated Los Angeles County. Other strategies used within the Sites Inventory analysis to accommodate the County’s assigned RHNA of 90,052 units include projected growth of ADUs, specific plan capacity, selected entitled projects, and capacity or planned development on County-owned sites within cities. This accounts for approximately 38 percent of the RHNA. The remaining 62 percent of the RHNA is accommodated by sites to be rezoned to accommodate higher density housing development (Appendix B).Caveats:This data is a snapshot in time, generally from the year 2021. It contains information about parcels, zoning and land use policy that may be outdated. The Department of Regional Planning will be keeping an internal tally of sites that get developed or rezoned to meet our RHNA goals, and we may, in the future, develop some public facing web applications or dashboards to show the progress. There may even be periodic updates to this GIS dataset as well, throughout this 8-year planning cycle.Update History:5/31/22– Los Angeles County Board of Supervisors adopted the Housing Element on 5/17/22, and it received final certification from the State of California Department of Housing and Community Development (HCD) on 5/27/22. Data layer published on 5/31/22.Links to other resources:Department of Regional Planning Housing Page - Contains Housing Element and it's AppendicesHousing Element Update - Rezoning Program Story Map (English, and Spanish)Southern California Association of Governments (SCAG) - Regional Housing Needs AssessmentCalifornia Department of Housing and Community Development Housing Element pageField Descriptions:OBJECTID - Internal GIS IDAIN - Assessor Identification Number*ASI Status - Sites Inventory Status (Nonvacant or Vacant)SitusAddress- Site Address (Street and Number) from Assessor Data*SitusCity - Site Address (City) from Assessor Data*SitusZIP - Site Address (ZIP) from Assessor Data*LV_IV_Ratio - Land Value to Improvement Value Ratio from Assessor Data*YearBuiltMax- Maximum Year Built from Assessor Data*Use Code - Existing Land Use Code (corresponds to Use Type and Use Description) from Assessor Data*Use Type - Existing Land Use Type from Assessor Data*Use Description - Existing Land Use Description from Assessor Data*Publicly Owned - If publicly owned, indicates whether it's Federal, State, County, or Special DistrictUnits Total - Total Existing Units from Assessor Data*Supervisorial District (2021) - LA County Board of Supervisor DistrictSubmarket Area - Inclusionary Housing Submarket AreaPlanning Area - Planning Areas from the LA County Department of Regional Planning General Plan 2035Community Name - Unincorporated Community NamePlan Name - Land Use Plan Name from the LA County Department of Regional Planning (General Plan and Area / Community Plans)Zoning - 1 - Zoning from Dept. of Regional Planning - Primary Zone (in cases where there are more than one zone category present)*Zoning - 1 (% area) - Zoning from Dept. of Regional Planning - Primary Zone (% of parcel covered in cases where there are more than one zone category present)*Zoning - 2 - Zoning from Dept. of Regional Planning - Secondary Zone (in cases where there are more than one zone category present)*Zoning - 2 (% area)- Zoning from Dept. of Regional Planning - Secondary Zone (% of parcel covered in cases where there are more than one zone category present)*Zoning - 3 - Zoning from Dept. of Regional Planning - Tertiary Zone (in cases where there are more than one zone category present)*Zoning - 3 (% area) - Zoning from Dept. of Regional Planning - Tertiary Zone (% of parcel covered in cases where there are more than one zone category present)*LUP - 1 - Land Use Policy from Dept. of Regional Planning - Primary Land Use Policy (in cases where there are more than one Land Use Policy category present)*LUP - 1 (% area) - Land Use Policy from Dept. of Regional Planning - Primary Land Use Policy (% of parcel covered in cases where there are more than one Land Use Policy category present)*LUP - 2 - Land Use Policy from Dept. of Regional Planning - Secondary Land Use Policy (in cases where there are more than one Land Use Policy category present)*LUP - 2 (% area) - Land Use Policy from Dept. of Regional Planning - Secondary Land Use Policy (% of parcel covered in cases where there are more than one Land Use Policy category present)*LUP - 3 - Land Use Policy from Dept. of Regional Planning - Tertiary Land Use Policy (in cases where there are more than one Land Use Policy category present)*LUP - 3 (% area) - Land Use Policy from Dept. of Regional Planning - Tertiary Land Use Policy (% of parcel covered in cases where there are more than one Land Use Policy category present)*SP - 1 - Specific Plan from Dept. of Regional Planning - Primary Specific Plan (in cases where there are more than one Specific Plan category present)*SP - 1 (desc) - Specific Plan from Dept. of Regional Planning - Primary Specific Plan Category Description (in cases where there are more than one Specific Plan category present)*SP - 1 (% area) - Specific Plan from Dept. of Regional Planning - Primary Specific Plan (% of parcel covered in cases where there are more than one Specific Plan category present)*SP - 2 - Specific Plan from Dept. of Regional Planning - Secondary Specific Plan (in cases where there are more than one Specific Plan category present)*SP - 2 (desc) - Specific Plan from Dept. of Regional Planning - Secondary Specific Plan Category Description (in cases where there are more than one Specific Plan category present)*SP - 2 (% area) - Specific Plan from Dept. of Regional Planning - Secondary Specific Plan (% of parcel covered in cases where there are more than one Specific Plan category present)*SP - 3 - Specific Plan from Dept. of Regional Planning - Tertiary Specific Plan (in cases where there are more than one Specific Plan category present)*SP - 3 (desc) - Specific Plan from Dept. of Regional Planning - Tertiary Specific Plan Category Description (in cases where there are more than one Specific Plan category present)*SP - 3 (% area) - Specific Plan from Dept. of Regional Planning - Tertiary Specific Plan (% of parcel covered in cases where there are more than one Specific Plan category present)*Acres - Acreage of parcelLUP Units - Total - Total Land Use Policy Units (note - takes into account different densities and % area covered if there are multiple categories)Current LUP (Min Density - net or gross)- Minimum density for this category (as net or gross) per the Land Use Plan for this areaCurrent LUP (Max Density - net or gross) - Maximum density for this category (as net or gross) per the Land Use Plan for this areaSite Status - Status of the site - mostly shows as 'available', but some are flagged as 'Pending Project'Very Low Income Capacity - Total capacity for the Very Low Income level as defined in the Housing ElementLow Income Capacity - Total capacity for the Low Income level as defined in the Housing ElementModerate Income Capacity - Total capacity for the Moderate Income level as defined in the Housing ElementAbove Moderate Income Capacity - Total capacity for the Above Moderate Income level as defined in the Housing ElementRealistic Capacity - Total Realistic Capacity of parcel (totaling all income levels). Several factors went into this final calculation. See the Housing Element (Links to Other Resources above) in the following locations - "Sites Inventory - Lower Income RHNA" (p. 223), and "Rezoning - Very Low / Low Income RHNA" (p231).Income Categories - Income Categories assigned to the parcel (relates to income capacity units)Lot Consolidation ID - Parcels with a unique identfier for consolidation potential (based on parcel ownership)Lot Consolidation Notes - Specific notes for consolidationConsolidation - Adjacent Parcels - All adjacent parcels that are tied to each lot consolidation IDsUsed in Previous Housing Elements? - These are the Very Low and Low Income level parcels that showed up in previous Housing ElementsShape_Length - Perimeter (feet)Shape_Area - Area (sq feet)*As it existed in 2021

  19. Average rent affordable for different income type households in Florida,...

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Average rent affordable for different income type households in Florida, U.S. 2024 [Dataset]. https://www.statista.com/statistics/1260996/average-rent-affordable-for-different-income-florida-usa/
    Explore at:
    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    United States, Florida
    Description

    The fair market monthly rent in Florida for a two-bedroom apartment was ***** U.S. dollars in 2024. Only renters who earn the area median income (AMI) can afford this housing in Florida. Rent affordable to renters with full-time jobs at mean renter wage or ** percent area median income was lower than the fair market rent of a two-bedroom apartment and one-bedroom apartment in Florida, making housing in this state not affordable for them. The rent in Florida ranks ***** among all other states in the United States for a two bedroom apartment.

  20. S

    Persons Housed with Federal or State Funding

    • performance.smcgov.org
    application/rdfxml +5
    Updated Jan 28, 2025
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    (2025). Persons Housed with Federal or State Funding [Dataset]. https://performance.smcgov.org/dataset/Persons-Housed-with-Federal-or-State-Funding/nc4u-i45e
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    tsv, json, csv, xml, application/rdfxml, application/rssxmlAvailable download formats
    Dataset updated
    Jan 28, 2025
    Description

    The Department of Housing (DOH) collects data on the number of households that have remained sheltered or stable and/or have received support with their basic needs through federal and state funded programs. HUD categorizes these programs as: Housing Development and Minor Home Repair Public Facilities, Micro-Enterprise and Economic Development, General Public Services, Fair Housing, Core Service Agencies and Shelters. The State categorizes these programs generally as serving persons experiencing or at risk of experiencing homelessness. Subgrantees that administer these programs use the online service platform, City Data Services, to report quarterly updates including the number and general demographic of clients served by each program. At the end of the year, the data is aggregated into an annual report that is submitted to HUD in the form of a Consolidated Annual Performance and Evaluation Report (CAPER) through their online portal, IDIS, and through other reporting tools for the State. These annual reports allow DOH to gain a full scope of clients served, identify specific program outcomes and highlights other work engaged in during a specific program year. Additionally, the data in this report is then disaggregated to show 2) The demographics (race/ethnicity) of those benefitting from the program, which can be compared to the overall County demographics. The granularity of the data makes the racial, spatial, income, and gender disparities that too often negatively impact households’ housing status apparent. Since these data show services provision at the individual level, publication of these measures will inform the community of the scale, cost, and trade-offs of addressing housing related challenges in the Bay area.

    In addition to the distribution of need, these data show how DOH and its subgrantees have directed a variety of resources to support multiple individuals across San Mateo County in 2024. In recent years, DOH has seen a continued decrease in federal funding that is made available to local jurisdictions and governments. To stabilize this decline, DOH has leveraged state Permanent Local Housing Allocation (PLHA) funds to meet community needs and is being reported in this data. The data reflects that approximately 40% of the individuals that were served in 2024 will be at or below 30% of the Area Median Income (AMI). Further highlighting the need for services among low and extremely low-income individuals in the County. Additionally, the Hispanic population in County accounts for 25% of the total population, but the 2023 data shows that over 50% of individuals served identified as Hispanic. This data is representative of individuals who identify with one Race, as well as also identifing as Hispanic. Providing specific counts will enable San Mateo County community members to better understand the decision-making process and equity impacts of DOH, stimulating equity, accountability, and engagement. In addition to the distribution of need, these data show how DOH and its subgrantees have directed a variety of resources to support multiple individuals across San Mateo County in 2024. In recent years, DOH has seen a continued decrease in federal funding that is made available to local jurisdictions and governments. To stabilize this decline, DOH has leveraged state Permanent Local Housing Allocation (PLHA) funds to meet community needs and is being reported in this data. The data reflects that over half of the individuals that were served in 2024 will be at or below 30% of the Area Median Income (AMI). Further highlighting the need for services among low and extremely low-income individuals in the County. Additionally, the Hispanic population in County accounts for 25% of the total population, but the 2023 data shows that over 50% of individuals served identified as Hispanic. This data is representative of individuals who identify with one Race, as well as also identifing as Hispanic. Providing specific counts will enable San Mateo County community members to better understand the decision-making process and equity impacts of DOH, stimulating equity, accountability, and engagement.

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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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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.

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