HOME Rent Limit data are available from FY 1998 to the present. Per 24 CFR Part 92.252, HUD provides the following maximum HOME rent limits. The maximum HOME rents are the lesser of: The fair market rent for existing housing for comparable units in the area as established by HUD under 24 CFR 888.111; or A rent that does not exceed 30 percent of the adjusted income of a family whose annual income equals 65 percent of the median income for the area, as determined by HUD, with adjustments for number of bedrooms in the unit. The HOME rent limits provided by HUD will include average occupancy per unit and adjusted income assumptions. In rental projects with five or more HOME-assisted rental units, twenty (20) percent of the HOME-assisted units must be occupied by very low-income families and meet one of following rent requirements: The rent does not exceed 30 percent of the annual income of a family whose income equals 50 percent of the median income for the area, as determined by HUD, with adjustments for smaller and larger families. HUD provides the HOME rent limits which include average occupancy per unit and adjusted income assumptions. However, if the rent determined under this paragraph is higher than the applicable rent under 24 CFR 92.252(a), then the maximum rent for units under this paragraph is that calculated under 24 CFR 92.252(a). The rent does not exceed 30 percent of the family's adjusted income. If the unit receives Federal or State project-based rental subsidy and the very low-income family pays as a contribution toward rent not more than 30 percent of the family's adjusted income, then the maximum rent (i.e., tenant contribution plus project-based rental subsidy) is the rent allowable under the Federal or State project-based rental subsidy program. Fair Market Rents are established by HUD each year for the Section 8 Program. For more information on the annual calculation of Fair Market Rents, visit the Fair Market Rents page. The FMRs for unit sizes larger than 4 bedroom are calculated by adding 15 percent to the 4 bedroom FMR for each extra bedroom. For example, the FMR for a 5 bedroom unit is 1.15 times the 4 bedroom FMR, and the FMR for a 6 bedroom unit is 1.30 times the 4 bedroom FMR, and so on... 5 BR = 1.15 x 4 BR FMR 6 BR = 1.30 x 4 BR FMR 7 BR = 1.45 x 4 BR FMR 8 BR = 1.60 x 4 BR FMR 9 BR = 1.75 x 4 BR FMR 10 BR = 1.90 x 4 BR FMR 11 BR = 2.05 x 4 BR FMR 12 BR = 2.20 x 4 BR FMR Note: The FY 2024 HOME Rent Limits effective date is June 01, 2024.

Virginia (VA) has the 19th highest rent in the country out of 56 states and territories. The Fair Market Rent in Virginia ranges from $701 for a 2-bedroom apartment in Grayson County, VA to $1,765 for a 2-bedroom unit in Washington-Arlington-Alexandria, DC-VA-MD HUD Metro FMR Area.

For FY 2024, the Washington-Arlington-Alexandria, DC-VA-MD HUD Metro FMR Area (Arlington County) rent for a studio or efficiency is $1,772 per month and $3,015 per month to rent a house or an apartment with 4 bedrooms. The average Fair Market Rent for a 2-bedroom home in Virginia is $1,056 per month.

Approximately 15% of Americans qualify for some level of housing assistance. The population in Virginia is around 2,038,847 people. So, there are around 305,827 people in Virginia who could be receiving housing benefits from the HUD. For FY 2025, the Washington-Arlington-Alexandria, DC-VA-MD HUD Metro FMR Area (Arlington County) rent for a studio or efficiency is $2,012 per month and $3,413 per month to rent a house or an apartment with 4 bedrooms. The average Fair Market Rent for a 2-bedroom home in Virginia is $1,059 per month.

Fair Market Rents (FMRs) are primarily used to determine payment standard amounts for the Housing Choice Voucher program, to determine initial renewal rents for some expiring project-based Section 8 contracts, to determine initial rents for housing assistance payment (HAP) contracts in the Moderate Rehabilitation Single Room Occupancy program (Mod Rehab), and to serve as a rent ceiling in the HOME rental assistance program. Data from 1983-Present.

Fair Market Rents (FMRs) are primarily used to determine payment standard amounts for the Housing Choice Voucher program, to determine initial renewal rents for some expiring project-based Section 8 contracts, to determine initial rents for housing assistance payment (HAP) contracts in the Moderate Rehabilitation Single Room Occupancy program (Mod Rehab), and to serve as a rent ceiling in the HOME rental assistance program. The U.S. Department of Housing and Urban Development (HUD) annually estimates FMRs for 530 metropolitan areas and 2,045 nonmetropolitan county FMR areas. By law the final FMRs for use in any fiscal year must be published and available for use at the start of that fiscal year, on October 1. 2012.

Graph and download economic data for Average Sales Price of Houses Sold for the United States (ASPUS) from Q1 1963 to Q2 2025 about sales, housing, and USA.

Fair Market Rents (FMRs) are primarily used to determine payment standard amounts for the Housing Choice Voucher program, to determine initial renewal rents for some expiring project-based Section 8 contracts, to determine initial rents for housing assistance payment (HAP) contracts in the Moderate Rehabilitation Single Room Occupancy program (Mod Rehab), and to serve as a rent ceiling in the HOME rental assistance program. The U.S. Department of Housing and Urban Development (HUD) annually estimates FMRs for 530 metropolitan areas and 2,045 nonmetropolitan county FMR areas. By law the final FMRs for use in any fiscal year must be published and available for use at the start of that fiscal year, on October 1. 2014.

Hong Kong CPI (B): Housing: Rent incl Rates: Public data was reported at 176.900 Oct2009-Sep2010=100 in Dec 2016. This stayed constant from the previous number of 176.900 Oct2009-Sep2010=100 for Nov 2016. Hong Kong CPI (B): Housing: Rent incl Rates: Public data is updated monthly, averaging 154.100 Oct2009-Sep2010=100 from Oct 1994 (Median) to Dec 2016, with 267 observations. The data reached an all-time high of 187.500 Oct2009-Sep2010=100 in Mar 2016 and a record low of 3.500 Oct2009-Sep2010=100 in Aug 2014. Hong Kong CPI (B): Housing: Rent incl Rates: Public data remains active status in CEIC and is reported by Census and Statistics Department. The data is categorized under Global Database’s Hong Kong SAR – Table HK.I032: Consumer Price Index (B): 10/09-9/10=100. CPI (B): Housing: Rent incld Rates: Public was affected by a number of Government’s one-off relief measures, including the waiver of public housing rentals by Housing Authority and Housing Society for the month of February 2007; the waiver of public housing rentals by Housing Society for the month of February 2008; Government's payment of public housing rentals in August to October 2008, August to September 2009, July to August 2010 and August to September 2011; the public housing rental waiver by Housing Authority in September 2010.

Hong Kong HK: HA: Public Rental Flats: Stock, Housing Authority (HA) data was reported at 781,825.000 Unit in Sep 2018. This records an increase from the previous number of 779,369.000 Unit for Jun 2018. Hong Kong HK: HA: Public Rental Flats: Stock, Housing Authority (HA) data is updated quarterly, averaging 676,611.000 Unit from Sep 1993 (Median) to Sep 2018, with 101 observations. The data reached an all-time high of 781,825.000 Unit in Sep 2018 and a record low of 632,063.000 Unit in Sep 2000. Hong Kong HK: HA: Public Rental Flats: Stock, Housing Authority (HA) data remains active status in CEIC and is reported by Census and Statistics Department. The data is categorized under Global Database’s Hong Kong SAR – Table HK.EB039: Residential: Public: Stock.

Hong Kong Public Rental Flats: Yearly: Housing Authority (HA): Stock data was reported at 776,500.000 Unit in 2018. This records an increase from the previous number of 769,352.000 Unit for 2017. Hong Kong Public Rental Flats: Yearly: Housing Authority (HA): Stock data is updated yearly, averaging 769,352.000 Unit from Mar 2016 (Median) to 2018, with 3 observations. The data reached an all-time high of 776,500.000 Unit in 2018 and a record low of 750,280.000 Unit in 2016. Hong Kong Public Rental Flats: Yearly: Housing Authority (HA): Stock data remains active status in CEIC and is reported by Hong Kong Housing Authority. The data is categorized under Global Database’s Hong Kong – Table HK.EB044: Residential: Public: Stock.

DescriptionThis data layer provides information on the average occupancy for active and leasing-up properties in the Florida Housing Finance Corporation portfolio. The average occupancy is based on physical occupancy rates from July 2024 through December 2024The following physical occupancy rate divisions were used to focus on properties and areas of concern:Less than 90 percent occupancy (symbolized as red), indicating a development whose financial operations are typically not self‐sustaining, and is thus reliant on sources other than project revenues; Between 90 and 93 percent occupancy (symbolized as yellow), typically indicating financial operations approaching break‐even; and 93 percent and above (symbolized as green), typically indicating healthy occupancy and financial operations.The following information is provided in this data layer:Property identification number;County name;Development name;Florida Housing funding program(s) and funding years;Demographic target;Status (Active, Lease-up, Pipeline);Total units for each development;Number of affordable units for each development;Number of market rate units;Average occupancy for the six-month period evaluated;Average occupancy for each of the two previous six-month periods used to identify LDA areas;Number of units occupied for each month in the six-month period evaluated;Occupancy as a percentage of the total units in the development for each month of the six-month period evaluated;Name of ownership entity;Name of management company;HUD/RD rent assistance units; andLatitude and Longitude coordinates of the development

Hong Kong CPI (A): Housing: Rent incl Rates data was reported at 150.200 Oct2009-Sep2010=100 in Dec 2016. This records an increase from the previous number of 150.000 Oct2009-Sep2010=100 for Nov 2016. Hong Kong CPI (A): Housing: Rent incl Rates data is updated monthly, averaging 92.900 Oct2009-Sep2010=100 from Jul 1974 (Median) to Dec 2016, with 510 observations. The data reached an all-time high of 152.600 Oct2009-Sep2010=100 in Mar 2016 and a record low of 20.700 Oct2009-Sep2010=100 in Aug 1974. Hong Kong CPI (A): Housing: Rent incl Rates data remains active status in CEIC and is reported by Census and Statistics Department. The data is categorized under Global Database’s Hong Kong – Table HK.I021: Consumer Price Index (A): 10/09-9/10=100. CPI (A): Housing: Rent incl Rates was affected by a number of Government’s one-off relief measures, including the waiver of public housing rentals by Housing Authority and Housing Society for the month of February 2007; the rates concession of up to 5,000 per quarter in April to September 2007 and January 2008 to March 2009; the waiver of public housing rentals by Housing Society for the month of February 2008; Government's payment of public housing rentals in August to October 2008, August to September 2009, July to August 2010 and August to September 2011; the public housing rental waiver by Housing Authority in September 2010.

Hong Kong CPI (C): Housing: Rent incl Rates data was reported at 136.300 Oct2009-Sep2010=100 in Dec 2016. This records an increase from the previous number of 136.200 Oct2009-Sep2010=100 for Nov 2016. Hong Kong CPI (C): Housing: Rent incl Rates data is updated monthly, averaging 80.950 Oct2009-Sep2010=100 from Jul 1974 (Median) to Dec 2016, with 510 observations. The data reached an all-time high of 136.300 Oct2009-Sep2010=100 in Dec 2016 and a record low of 14.800 Oct2009-Sep2010=100 in Mar 1975. Hong Kong CPI (C): Housing: Rent incl Rates data remains active status in CEIC and is reported by Census and Statistics Department. The data is categorized under Global Database’s Hong Kong – Table HK.I043: Consumer Price Index (C): 10/09-9/10=100. CPI (C): Housing: Rent incl Rates was affected by a number of Government’s one-off relief measures, including the waiver of public housing rentals by Housing Authority and Housing Society for the month of February 2007; the rates concession of up to 5,000 per quarter in April to September 2007 and January 2008 to March 2009; the waiver of public housing rentals by Housing Society for the month of February 2008; Government's payment of public housing rentals in August to October 2008, August to September 2009, July to August 2010 and August to September 2011; the public housing rental waiver by Housing Authority in September 2010.

Hong Kong Public Rental Estates: Housing Authority (HA): Completions data was reported at 11,300.000 Unit in 2017. Hong Kong Public Rental Estates: Housing Authority (HA): Completions data is updated yearly, averaging 11,300.000 Unit from Mar 2017 (Median) to 2017, with 1 observations. Hong Kong Public Rental Estates: Housing Authority (HA): Completions data remains active status in CEIC and is reported by Hong Kong Housing Authority. The data is categorized under Global Database’s Hong Kong – Table HK.EB045: Residential: Public: Completions. The forecast completion figures are issued in financial year basis since Mar 2017 (i.e. from April to next year March). For historical completion figures issued in financial year end of December, please refer below discontinued series in this table.

This data layer provides information on the average occupancy for active and leasing-up properties, in the Florida Housing Finance Corporation portfolio. The average occupancy is based on physical occupancy rates from July 2021 through December 2021.The following physical occupancy rate divisions were used to focus on properties and areas of concern:Less than 90 percent occupancy (symbolized as red), indicating a development whose financial operations are typically not self‐sustaining, and is thus reliant on sources other than project revenues; Between 90 and 93 percent occupancy (symbolized as yellow), typically indicating financial operations approaching break‐even; and 93 percent and above (symbolized as green), typically indicating healthy occupancy and financial operations.The following information is provided in this data layer:Property identification number;County name;Development name;Florida Housing funding program(s) and funding years;Demographic target;Status (Active, Lease-up, Pipeline);Total units for each development;Number of affordable units for each development;Number of market rate units;Average occupancy for the six-month period evaluated;Average occupancy for each of the two previous six-month periods used to identify LDA areas;Number of units occupied for each month in the six-month period evaluated;Occupancy as a percentage of the total units in the development for each month of the six-month period evaluated;Name of ownership entity;Name of management company;HUD/RD rent assistance units; andLatitude and Longitude coordinates of the development.

There is more to housing affordability than the rent or mortgage you pay. Transportation costs are the second-biggest budget item for most families, but it can be difficult for people to fully factor transportation costs into decisions about where to live and work. The Location Affordability Index (LAI) is a user-friendly source of standardized data at the neighborhood (census tract) level on combined housing and transportation costs to help consumers, policymakers, and developers make more informed decisions about where to live, work, and invest. Compare eight household profiles (see table below) —which vary by household income, size, and number of commuters—and see the impact of the built environment on affordability in a given location while holding household demographics constant.*$11,880 for a single person household in 2016 according to US Dept. of Health and Human Services: https://aspe.hhs.gov/computations-2016-poverty-guidelinesThis layer is symbolized by the percentage of housing and transportation costs as a percentage of income for the Median-Income Family profile, but the costs as a percentage of income for all household profiles are listed in the pop-up:Also available is a gallery of 8 web maps (one for each household profile) all symbolized the same way for easy comparison: Median-Income Family, Very Low-Income Individual, Working Individual, Single Professional, Retired Couple, Single-Parent Family, Moderate-Income Family, and Dual-Professional Family.An accompanying story map provides side-by-side comparisons and additional context.--Variables used in HUD's calculations include 24 measures such as people per household, average number of rooms per housing unit, monthly housing costs (mortgage/rent as well as utility and maintenance expenses), average number of cars per household, median commute distance, vehicle miles traveled per year, percent of trips taken on transit, street connectivity and walkability (measured by block density), and many more.To learn more about the Location Affordability Index (v.3) visit: https://www.hudexchange.info/programs/location-affordability-index/. There you will find some background and an FAQ page, which includes the question:"Manhattan, San Francisco, and downtown Boston are some of the most expensive places to live in the country, yet the LAI shows them as affordable for the typical regional household. Why?" These areas have some of the lowest transportation costs in the country, which helps offset the high cost of housing. The area median income (AMI) in these regions is also high, so when costs are shown as a percent of income for the typical regional household these neighborhoods appear affordable; however, they are generally unaffordable to households earning less than the AMI.Date of Coverage: 2012-2016 Date Released: March 2019Date Downloaded from HUD Open Data: 4/18/19Further Documentation:LAI Version 3 Data and MethodologyLAI Version 3 Technical Documentation_**The documentation below is in reference to this items placement in the NM Supply Chain Data Hub. The documentation is of use to understanding the source of this item, and how to reproduce it for updates**

Title: Location Affordability Index - NMCDC Copy

Summary: This layer contains the Location Affordability Index from U.S. Dept. of Housing and Urban Development (HUD) - standardized household, housing, and transportation cost estimates by census tract for 8 household profiles.

Notes: This map is copied from source map: https://nmcdc.maps.arcgis.com/home/item.html?id=de341c1338c5447da400c4e8c51ae1f6, created by dianaclavery_uo, and identified in Living Atlas.

Prepared by: dianaclavery_uo, copied by EMcRae_NMCDC

Source: This map is copied from source map: https://nmcdc.maps.arcgis.com/home/item.html?id=de341c1338c5447da400c4e8c51ae1f6, created by dianaclavery_uo, and identified in Living Atlas. Check the source documentation or other details above for more information about data sources.

Feature Service: https://nmcdc.maps.arcgis.com/home/item.html?id=447a461f048845979f30a2478b9e65bb

UID: 73

Data Requested: Family income spent on basic need

Method of Acquisition: Search for Location Affordability Index in the Living Atlas. Make a copy of most recent map available. To update this map, copy the most recent map available. In a new tab, open the AGOL Assistant Portal tool and use the functions in the portal to copy the new maps JSON, and paste it over the old map (this map with item id

Date Acquired: Map copied on May 10, 2022

Priority rank as Identified in 2022 (scale of 1 being the highest priority, to 11 being the lowest priority): 6

Tags: PENDING