This dataset denotes HUD subsidized Multifamily Housing properties excluding insured hospitals with active loans. HUD’s Multifamily Housing property portfolio consist primarily of rental housing properties with five or more dwelling units such as apartments or town houses, but can also include nursing homes, hospitals, elderly housing, mobile home parks, retirement service centers, and occasionally vacant land. HUD provides subsidies and grants to property owners and developers in an effort to promote the development and preservation of affordable rental units for low-income populations, and those with special needs such as the elderly, and disabled. The portfolio can be broken down into two basic categories: insured, and assisted. The three largest assistance programs for Multifamily Housing are Section 8 Project Based Assistance, Section 202 Supportive Housing for the Elderly, and Section 811 Supportive Housing for Persons with Disabilities. The Multifamily property locations represent the approximate location of the property. The locations of individual buildings associated with each property are not depicted here.

HUD’s Multifamily Housing property portfolio consist primarily of rental housing properties with five or more dwelling units such as apartments or town houses, but can also include nursing homes, hospitals, elderly housing, mobile home parks, retirement service centers, and occasionally vacant land. HUD provides subsidies and grants to property owners and developers in an effort to promote the development and preservation of affordable rental units for low-income populations, and those with special needs such as the elderly, and disabled. The portfolio can be broken down into two basic categories: insured, and assisted. The three largest assistance programs for Multifamily Housing are Section 8 Project Based Assistance, Section 202 Supportive Housing for the Elderly, and Section 811 Supportive Housing for Persons with Disabilities. The Multifamily property locations represent the approximate location of the property. The locations of individual buildings associated with each property are not depicted here. Location data for HUD-related properties and facilities are derived from HUD's enterprise geocoding service. While not all addresses are able to be geocoded and mapped to 100% accuracy, we are continuously working to improve address data quality and enhance coverage. Please consider this issue when using any datasets provided by HUD. When using this data, take note of the field titled “LVL2KX” which indicates the overall accuracy of the geocoded address using the following return codes: ‘R’ - Interpolated rooftop (high degree of accuracy, symbolized as green) ‘4’ - ZIP+4 centroid (high degree of accuracy, symbolized as green) ‘B’ - Block group centroid (medium degree of accuracy, symbolized as yellow) ‘T’ - Census tract centroid (low degree of accuracy, symbolized as red) ‘2’ - ZIP+2 centroid (low degree of accuracy, symbolized as red) ‘Z’ - ZIP5 centroid (low degree of accuracy, symbolized as red) ‘5’ - ZIP5 centroid (same as above, low degree of accuracy, symbolized as red) Null - Could not be geocoded (does not appear on the map) For the purposes of displaying the location of an address on a map only use addresses and their associated lat/long coordinates where the LVL2KX field is coded ‘R’ or ‘4’. These codes ensure that the address is displayed on the correct street segment and in the correct census block. The remaining LVL2KX codes provide a cascading indication of the most granular level geography for which an address can be confirmed. For example, if an address cannot be accurately interpolated to a rooftop (‘R’), or ZIP+4 centroid (‘4’), then the address will be mapped to the centroid of the next nearest confirmed geography: block group, tract, and so on. When performing any point-in polygon analysis it is important to note that points mapped to the centroids of larger geographies will be less likely to map accurately to the smaller geographies of the same area. For instance, a point coded as ‘5’ in the correct ZIP Code will be less likely to map to the correct block group or census tract for that address. In an effort to protect Personally Identifiable Information (PII), the characteristics for each building are suppressed with a -4 value when the “Number_Reported” is equal to, or less than 10. To learn more about Multifamily Housing visit: https://www.hud.gov/program_offices/housing/mfh, for questions about the spatial attribution of this dataset, please reach out to us at GISHelpdesk@hud.gov.Data Dictionary: DD_HUD Assisted Multifamily Properties Date of Coverage: 12/2023

Housing Starts Multi Family in the United States increased to 414 Thousand units in June from 317 Thousand units in May of 2025. This dataset includes a chart with historical data for the United States Housing Starts Multi Family.

Multifamily Portfolio datasets (section 8 contracts) - The information has been compiled from multiple data sources within FHA or its contractors. HUD oversees more than 22,000 privately owned multifamily properties, and more than 1.4 million assisted housing units. These homes were originally financed with FHA-insured or Direct Loans and many are supported with Section 8 or other rental assistance contracts. Our existing stock of affordable rental housing is a critical resource for seniors and families who otherwise would not have access to safe, decent places to call home.

The FHA insured Multifamily Housing portfolio consists primarily of rental housing properties with five or more dwelling units such as apartments or town houses, but can also be nursing homes, hospitals, elderly housing, mobile home parks, retirement service centers, and occasionally vacant land. Please note that this dataset overlaps the Multifamily Properties Assisted layer. The Multifamily property locations represent the approximate location of the property. Location data for HUD-related properties and facilities are derived from HUD's enterprise geocoding service. While not all addresses are able to be geocoded and mapped to 100% accuracy, we are continuously working to improve address data quality and enhance coverage. Please consider this issue when using any datasets provided by HUD. When using this data, take note of the field titled “LVL2KX” which indicates the overall accuracy of the geocoded address using the following return codes: ‘R’ - Interpolated rooftop (high degree of accuracy, symbolized as green) ‘4’ - ZIP+4 centroid (high degree of accuracy, symbolized as green) ‘B’ - Block group centroid (medium degree of accuracy, symbolized as yellow) ‘T’ - Census tract centroid (low degree of accuracy, symbolized as red) ‘2’ - ZIP+2 centroid (low degree of accuracy, symbolized as red) ‘Z’ - ZIP5 centroid (low degree of accuracy, symbolized as red) ‘5’ - ZIP5 centroid (same as above, low degree of accuracy, symbolized as red) Null - Could not be geocoded (does not appear on the map) For the purposes of displaying the location of an address on a map only use addresses and their associated lat/long coordinates where the LVL2KX field is coded ‘R’ or ‘4’. These codes ensure that the address is displayed on the correct street segment and in the correct census block. The remaining LVL2KX codes provide a cascading indication of the most granular level geography for which an address can be confirmed. For example, if an address cannot be accurately interpolated to a rooftop (‘R’), or ZIP+4 centroid (‘4’), then the address will be mapped to the centroid of the next nearest confirmed geography: block group, tract, and so on. When performing any point-in polygon analysis it is important to note that points mapped to the centroids of larger geographies will be less likely to map accurately to the smaller geographies of the same area. For instance, a point coded as ‘5’ in the correct ZIP Code will be less likely to map to the correct block group or census tract for that address. In an effort to protect Personally Identifiable Information (PII), the characteristics for each building are suppressed with a -4 value when the “Number_Reported” is equal to, or less than 10. To learn more about HUD Insured Multifamily Properties visit: https://www.hud.gov/program_offices/housing/mfh Data Dictionary: DD_HUD Insured Multifamilly Properties Date of Coverage: 02/2025

Graph and download economic data for New Privately-Owned Housing Units Under Construction: Units in Buildings with 5 Units or More (UNDCON5MUSA) from Jan 1970 to May 2025 about 5-unit structures +, construction, new, private, housing, and USA.

Graph and download economic data for Housing Inventory Estimate: Total Housing Units in the United States (ETOTALUSQ176N) from Q2 2000 to Q1 2025 about inventories, housing, and USA.

United States New Listings: Multi-Family: Massachusetts data was reported at 741.000 Unit th in Jul 2020. This records an increase from the previous number of 665.000 Unit th for Jun 2020. United States New Listings: Multi-Family: Massachusetts data is updated monthly, averaging 650.500 Unit th from Feb 2012 (Median) to Jul 2020, with 102 observations. The data reached an all-time high of 945.000 Unit th in May 2018 and a record low of 276.000 Unit th in Dec 2019. United States New Listings: Multi-Family: Massachusetts data remains active status in CEIC and is reported by Redfin. The data is categorized under Global Database’s United States – Table US.EB032: New Homes Listed for Sale: by States.

Graph and download economic data for New Privately-Owned Housing Units Started: Units in Buildings with 5 Units or More (HOUST5F) from Jan 1959 to May 2025 about 5-unit structures +, housing starts, privately owned, housing, and USA.

Graph and download economic data for New Privately-Owned Housing Units Completed: Units in Buildings with 5 Units or More (COMPU5MUSA) from Jan 1968 to Jun 2025 about 5-unit structures +, new, private, housing, and USA.

United States Homes Sold: Multi-Family: Hot Springs, AR data was reported at 2.000 Unit th in Jun 2020. This records an increase from the previous number of 1.000 Unit th for May 2020. United States Homes Sold: Multi-Family: Hot Springs, AR data is updated monthly, averaging 1.000 Unit th from Feb 2012 (Median) to Jun 2020, with 55 observations. The data reached an all-time high of 6.000 Unit th in Oct 2019 and a record low of 1.000 Unit th in May 2020. United States Homes Sold: Multi-Family: Hot Springs, AR data remains active status in CEIC and is reported by Redfin. The data is categorized under Global Database’s United States – Table US.EB017: Homes Sold: by Metropolitan Areas.

United States Homes Sold: Multi-Family: California data was reported at 740.000 Unit th in Jul 2020. This records an increase from the previous number of 549.000 Unit th for Jun 2020. United States Homes Sold: Multi-Family: California data is updated monthly, averaging 957.500 Unit th from Feb 2012 (Median) to Jul 2020, with 102 observations. The data reached an all-time high of 1,177.000 Unit th in May 2013 and a record low of 405.000 Unit th in May 2020. United States Homes Sold: Multi-Family: California data remains active status in CEIC and is reported by Redfin. The data is categorized under Global Database’s United States – Table US.EB016: Homes Sold: by States.

The US residential real estate market, a cornerstone of the American economy, is projected to experience steady growth over the next decade. While the provided CAGR of 2.04% is a modest figure, it reflects a market maturing after a period of significant expansion. This sustained growth is driven by several key factors. Firstly, population growth and urbanization continue to fuel demand for housing, particularly in densely populated areas and emerging suburban markets. Secondly, low interest rates (historically, though this can fluctuate) have made mortgages more accessible, stimulating buyer activity. Thirdly, a robust construction sector, though facing challenges in material costs and labor shortages, is gradually increasing the housing supply, mitigating some of the upward pressure on prices. However, challenges remain. Rising inflation and potential interest rate hikes pose a risk to affordability, potentially dampening demand. Furthermore, the ongoing evolution of remote work is reshaping residential preferences, with a shift toward larger homes in suburban or exurban locations. This trend impacts the relative demand for various property types, potentially increasing the appeal of landed houses and villas compared to apartments and condominiums in certain regions. The segmentation of the market into apartments/condominiums and landed houses/villas provides crucial insights into consumer preferences and investment strategies. High-density urban areas will continue to see strong demand for apartments and condos, while suburban and rural areas are likely to experience a greater increase in landed property sales. Major players like Simon Property Group, Mill Creek Residential, and others are strategically adapting to these trends, focusing on both development and management across various property types and geographic locations. Analyzing regional data within the US (e.g., comparing growth in the Northeast versus the Southwest) will highlight market nuances and potential investment opportunities. While the global data provided is valuable for understanding broader market forces, focusing the analysis on the US market allows for a more granular understanding of the specific drivers, trends, and challenges within this significant segment of the real estate sector. The forecast period (2025-2033) suggests continued, albeit measured, expansion. Recent developments include: May 2022: Resource REIT Inc. completed the sale of all of its outstanding shares of common stock to Blackstone Real Estate Income Trust Inc. for USD 14.75 per share in an all-cash deal valued at USD 3.7 billion, including the assumption of the REIT's debt., February 2022: The largest owner of commercial real estate in the world and private equity company Blackstone is growing its portfolio of residential rentals and commercial properties in the United States. The company revealed that it would shell out about USD 6 billion to buy Preferred Apartment Communities, an Atlanta-based real estate investment trust that owns 44 multifamily communities and roughly 12,000 homes in the Southeast, mostly in Atlanta, Nashville, Charlotte, North Carolina, and the Florida cities of Jacksonville, Orlando, and Tampa.. Key drivers for this market are: Investment Plan Towards Urban Rail Development. Potential restraints include: Italy’s Fragmented Approach to Tenders. Notable trends are: Existing Home Sales Witnessing Strong Growth.

Graph and download economic data for Rental Vacancy Rate in the United States (RRVRUSQ156N) from Q1 1956 to Q1 2025 about vacancy, rent, rate, and USA.

Graph and download economic data for New Privately-Owned Housing Units Under Construction: Total Units (UNDCONTSA) from Jan 1970 to Jun 2025 about construction, new, private, housing, and USA.

United States Homes Sold: Multi-Family: Mountain Home, ID data was reported at 4.000 Unit th in Jul 2020. This records an increase from the previous number of 2.000 Unit th for Jun 2020. United States Homes Sold: Multi-Family: Mountain Home, ID data is updated monthly, averaging 2.000 Unit th from Feb 2012 (Median) to Jul 2020, with 73 observations. The data reached an all-time high of 5.000 Unit th in Mar 2020 and a record low of 1.000 Unit th in May 2020. United States Homes Sold: Multi-Family: Mountain Home, ID data remains active status in CEIC and is reported by Redfin. The data is categorized under Global Database’s United States – Table US.EB017: Homes Sold: by Metropolitan Areas.

United States Homes Sold: Multi-Family: Philadelphia, PA data was reported at 86.000 Unit th in Jul 2020. This records an increase from the previous number of 65.000 Unit th for Jun 2020. United States Homes Sold: Multi-Family: Philadelphia, PA data is updated monthly, averaging 108.500 Unit th from Feb 2012 (Median) to Jul 2020, with 102 observations. The data reached an all-time high of 172.000 Unit th in Jun 2017 and a record low of 49.000 Unit th in May 2020. United States Homes Sold: Multi-Family: Philadelphia, PA data remains active status in CEIC and is reported by Redfin. The data is categorized under Global Database’s United States – Table US.EB017: Homes Sold: by Metropolitan Areas.

United States - Real Estate Loans: Commercial Real Estate Loans: Secured by Multifamily Properties, Foreign-Related Institutions was 20.10090 Bil. of U.S. $ in May of 2025, according to the United States Federal Reserve. Historically, United States - Real Estate Loans: Commercial Real Estate Loans: Secured by Multifamily Properties, Foreign-Related Institutions reached a record high of 22.31100 in July of 2024 and a record low of 0.85440 in February of 2015. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Real Estate Loans: Commercial Real Estate Loans: Secured by Multifamily Properties, Foreign-Related Institutions - last updated from the United States Federal Reserve on July of 2025.

United States Homes Sold: Multi-Family: Los Angeles, CA data was reported at 280.000 Unit th in Jul 2020. This records an increase from the previous number of 196.000 Unit th for Jun 2020. United States Homes Sold: Multi-Family: Los Angeles, CA data is updated monthly, averaging 404.500 Unit th from Feb 2012 (Median) to Jul 2020, with 102 observations. The data reached an all-time high of 568.000 Unit th in Aug 2012 and a record low of 158.000 Unit th in May 2020. United States Homes Sold: Multi-Family: Los Angeles, CA data remains active status in CEIC and is reported by Redfin. The data is categorized under Global Database’s United States – Table US.EB017: Homes Sold: by Metropolitan Areas.

United States Homes Sold: Multi-Family: Pennsylvania data was reported at 301.000 Unit th in Jul 2020. This records an increase from the previous number of 202.000 Unit th for Jun 2020. United States Homes Sold: Multi-Family: Pennsylvania data is updated monthly, averaging 281.500 Unit th from Feb 2012 (Median) to Jul 2020, with 102 observations. The data reached an all-time high of 394.000 Unit th in Jun 2017 and a record low of 150.000 Unit th in May 2020. United States Homes Sold: Multi-Family: Pennsylvania data remains active status in CEIC and is reported by Redfin. The data is categorized under Global Database’s United States – Table US.EB016: Homes Sold: by States.