This feature service outlines relationships between Zip Code Tabulation Areas (ZCTAs) used to denote Small Area Fair Market Rents (SAFMRs) and the Fair Market Rents (FMRs) calculated for Metropolitan Statistical Areas (MSAs) and County geographies. Small Area Fair Market Rents (SAFMRs) are FMRs calculated for ZIP Codes within Metropolitan Areas. Small Area FMRs are required to be used to set Section 8 Housing Choice Voucher payment standards in areas designated by HUD (available here). Other Housing Agencies operating in non-designated metropolitan areas may opt-in to the use of Small Area FMRs. Furthermore, Small Area FMRs may be used as the basis for setting Exception Payment Standards – PHAs may set exception payment standards up to 110 percent of the Small Area FMR. PHAs administering Public Housing units may use Small Area FMRs as an alternative to metropolitan area-wide FMRs when calculating Flat Rents.

Small Area Fair Market Rents (SAFMRs) are FMRs calculated for ZIP Codes. Small Area FMRs are required to be used to set Section 8 Housing Choice Voucher payment standards in areas designated by HUD (available here). Other Housing Agencies operating in non-designated metropolitan areas or non-metropolitan counties may opt-in to the use of Small Area FMRs. Furthermore, Small Area FMRs may be used as the basis for setting Exception Payment Standards – PHAs may set exception payment standards up to 110 percent of the Small Area FMR. PHAs administering Public Housing units may use Small Area FMRs as an alternative to metropolitan area-wide FMRs when calculating Flat Rents. Please See HUD’s Small Area FMR Final Rule for additional information regarding the uses of Small Area FMRs.

Fair Market Rents (FMRs) are 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), rent ceilings for rental units in both the HOME Investment Partnerships program and the Emergency Solution Grants program, calculation of maximum award amounts for Continuum of Care recipients and the maximum amount of rent a recipient may pay for property leased with Continuum of Care funds, and calculation of flat rents in Public Housing units. The U.S. Department of Housing and Urban Development (HUD) annually estimates FMRs for Office of Management and Budget (OMB) defined metropolitan areas, some HUD defined subdivisions of OMB metropolitan areas and each nonmetropolitan county. 42 USC 1437f requires FMRs be posted at least 30 days before they are effective and that they are effective at the start of the federal fiscal year (generally October 1).

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.

In 2019, the most expensive zip code in Massachusetts was 02210, and renters paid on average 4,048 U.S. dollars per month for apartments there. This zip code and many of the other high-priced zip codes were located in Boston.

In 2019, the most expensive zip code in New York was *****, and renters paid on average ***** U.S. dollars per month for apartments there. All ten of the most expensive zip codes in New York were located in Manhattan.

Small Area Fair Market Rents (SAFMRs) are FMRs calculated for ZIP Codes within Metropolitan Areas. Small Area FMRs are required to be used to set Section 8 Housing Choice Voucher payment standards in areas designated by HUD (available here). Other Housing Agencies operating in non-designated metropolitan areas may opt-in to the use of Small Area FMRs. Furthermore, Small Area FMRs may be used as the basis for setting Exception Payment Standards – PHAs may set exception payment standards up to 110 percent of the Small Area FMR. PHAs administering Public Housing units may use Small Area FMRs as an alternative to metropolitan area-wide FMRs when calculating Flat Rents. Please See HUD’s Small Area FMR Final Rule for additional information regarding the uses of Small Area FMRs.Note that this service does not denote precise SAFMR geographies. Instead, the service utilizes a relationship class to associate the information for each SAFMR with the FMR areas that its ZCTA overlaps. For example, ZCTA 94558 overlaps the Santa Rosa, Napa, and Vallejo-Fairfield MSAs. Selecting that ZCTA will reveal the SAFMR information associated with each FMR area.

  To learn more about the Small Area Fair Market Rents visit: https://www.huduser.gov/portal/datasets/fmr/smallarea/index.html, for questions about the spatial attribution of this dataset, please reach out to us at GISHelpdesk@hud.gov. Date of Coverage: Fiscal Year 2025Date Update: 01/2025

In 2019, the most expensive zip code in California was *****, which is located in Los Angeles, and renters paid on average ***** U.S. dollars per month for apartments there. Los Angeles and San Francisco were home to several of the most expensive zip codes in the state.

In District of Columbia, the average rent per square foot was 2.95 U.S. dollars in 2018, whereas renters in Oregon were expected to pay half as much in rent per square foot. DC was the most expensive state for renters, followed by New York, Hawaii, Massachusetts and California.

Why is DC so expensive?

District of Columbia is the center of the U.S. political system with all three branches of federal government sitting there: Congress (legislative), President (executive) and the Supreme Court (judicial). The above average household incomes of its residents mean that high rents are still sustainable for the rental market.

Limited space in DC

DC has the largest share of apartment dwellers in the country. This is most likely due to limited space, as the federal district has a much higher population density than the states. The political importance of DC and the high population density suggest that the federal district is likely to retain its spot as the most expensive rental market in the future.

2012 FMR (Fair Market Rents)

Final Data (Effective October 1, 2011) Federal Register Preamble (.pdf, 153 KB) HUD’s Preliminary Response To Comments (.doc, 73 KB) Schedule B – FMR Tables (.pdf, 1.58 MB), (.doc, 364 KB) Schedule B addendum – Dallas Zip Codes (.pdf, 259 KB) Schedule D – Manufactured Housing Exception (.pdf, 65 KB) County Level Data File (*.xls, 1.19 MB)

Proposed Data Federal Register Preamble (.pdf, 107 KB) Schedule B – FMR Tables (.pdf, 1.57 MB) Schedule B addendum – Dallas Zip Codes, as published (.pdf, 125 KB) Schedule D – Manufactured Housing Exception (.pdf, 20 KB) County Level Data File (*.xls, 3.43 MB)

http://www.huduser.org/portal/datasets/fmr/fmr2012f/index.html

This dataset consists of the small area fair market rents (FMRs) published annually by the U.S. Department of Housing and Urban Development (HUD). Small areas correspond to zip codes. The FMRs in this dataset are confined to the Atlanta metro area and include FMRs for the most recent year, the previous year and four years ago along with the percent change between those years. Small Area FMRs are required to be used to set Section 8 Housing Choice Voucher payment standards in areas designated by HUD. Additional information can be found at https://www.huduser.gov/portal/datasets/fmr/smallarea/index.html.

Rents for industrial real estate in the U.S. have increased since 2017, with flexible/service space reaching the highest price per square foot in 2024. In just a year, the cost of, flex/service space rose by nearly *****U.S. dollars per square foot. Manufacturing facilities, warehouses, and distribution centers had lower rents and experienced milder growth. Los Angeles, Orange County, and Inland Empire, California, are some of the most expensive markets in the country. Office real estate is pricier Industrial real estate is far from being the most expensive commercial property type. For instance, average rental rates in major U.S. metros for office space are much higher than those for industrial space. This is most likely because office units are generally located in urban areas where there is limited space and thus higher demand, whereas industrial units are more suited to the outskirts of such urban areas. Industrial units, such as warehouses or factories, require much more space because they need to house large, heavy equipment or serve as a storage unit for future shipments. Big-box distribution space is gaining in importance Warehouses and distribution may currently command the lowest average rent per square foot among industrial space types, but the growing popularity of the asset class has earned it considerable gains over the past years. In 2021 and 2022, high occupier demand and insufficient supply led to soaring taking rent of big-box buildings. During that time, the vacancy rate of distribution centers fell below ****percent. The development of industrial and logistics facilities has accelerated since then, with the new supply coming to market, causing the vacancy rate to increase and the pressures on rent to ease.

In 2019, the most expensive zip code in Washington DC was *****, and renters paid on average ***** U.S. dollars per month for apartments there.

In 2019, the most expensive zip code in Texas was 78701, which was located in Austin, and renters paid on average 2,885 U.S. dollars per month for apartments there. Most of the most expensive zip codes in Texas were located in either Austin or Dallas.

Zillow Properties Listing dataset to access detailed real estate listings, including property prices, locations, and features. Popular use cases include market analysis, property valuation, and investment decision-making in the real estate sector.

Use our Zillow Properties Listing Information dataset to access detailed real estate listings, including property features, pricing trends, and location insights. This dataset is perfect for real estate agents, investors, market analysts, and property developers looking to analyze housing markets, identify investment opportunities, and assess property values.

Leverage this dataset to track pricing patterns, compare property features, and forecast market trends across different regions. Whether you're evaluating investment prospects or optimizing property listings, the Zillow Properties dataset offers essential information for making data-driven real estate decisions.

Dataset Features

• zpid: Unique property identifier assigned by Zillow.
• city: The name of the city where the property is located.
• state: The state in which the property is located.
• homeStatus: Indicates the current status of the property
• address: The full address of the property, including street, city, and state.
• isListingClaimedByCurrentSignedInUser: This field shows if the current Zillow user has claimed ownership of the listing.
• isCurrentSignedInAgentResponsible: This field indicates whether the currently signed-in real estate agent is responsible for the listing.
• bedrooms: Number of bedrooms in the property.
• bathrooms: Number of bathrooms in the property.
• price: Current asking price of the property.
• yearBuilt: The year the home was originally constructed.
• streetAddress: Specific street address (usually excludes city/state/zip).
• zipcode: The postal ZIP code of the property.
• isCurrentSignedInUserVerifiedOwner: This field indicates if the signed-in user has verified ownership of the property on Zillow.
• isVerifiedClaimedByCurrentSignedInUser: Indicates whether the user has claimed and verified the listing as the current owner.
• listingDataSource: The original source of the listing. Important for data lineage and trustworthiness.
• longitude: The longitudinal geographic coordinate of the property.
• latitude: The latitudinal geographic coordinate of the property.
• hasBadGeocode: This indicates whether the geolocation data is incorrect or problematic.
• streetViewMetadataUrlMediaWallLatLong: A URL or reference to the Street View media wall based on latitude and longitude.
• streetViewMetadataUrlMediaWallAddress: A similar URL reference to the Street View, but based on the property’s address.
• streetViewServiceUrl: The base URL to Google Street View or similar services. Enables interactive visuals of the property’s surroundings.
• livingArea: Total internal living area of the home, typically in square feet.
• homeType: The category/type of the home.
• lotSize: The size of the entire lot or land the home is situated on.
• lotAreaValue: The numerical value representing the lot area is usually tied to a measurement unit.
• lotAreaUnits: Units in which the lot area is measured (e.g., sqft, acres).
• livingAreaValue: The numeric value of the property's interior living space.
• livingAreaUnitsShort: Abbreviated unit for living area (e.g., sqft), useful for compact displays.
• isUndisclosedAddress: Boolean indicating if the full property address is hidden, typically used for privacy reasons.
• zestimate: Zillow’s estimated market value of the home, generated via its proprietary model.
• rentZestimate: Zillow’s estimated rental price per month, is helpful for rental market analysis.
• currency: Currency used for price, Zestimate, and rent estimate (e.g., USD).
• hideZestimate: Indicates whether the Zestimate is hidden from public view.
• dateSoldString: The date when the property was last sold, in string format (e.g., 2022-06-15).
• taxAssessedValue: The most recent assessed value of the property for tax purposes.
• taxAssessedYear: The year in which the property was last assessed.
• country: The country where the property is located.
• propertyTaxRate: The most recent tax rate.
• photocount: This column provides a photo count of the property.
• isPremierBuilder: Boolean indicating whether the builder is listed as a premier (trusted) builder on Zillow.
• isZillowOwned: Indicates whether the property is owned or managed directly by Zillow.
• ssid: A unique internal Zillow identifier for the listing (not to be confused with network SSID).
• hdpUrl: URL to the home’s detail page on Zillow (Home Details Page).
• tourViewCount: Number of times users have viewed the property tour.
• hasPublicVideo: This

This data layer shows U.S. Department of Housing and Urban Development (HUD) annually designated Small Area Difficult Development Areas (SADDAs). SADDAs are areas with high construction, land, and utility costs relative to area median gross income and are based on small fair market rents, income limits, the 2020 census counts, and 5-year American Community Survey data.The unit of geography used to designate SADDAs in metro areas is the Zip Code Tabulation Area (ZCTA), which is made up of census blocks. ZCTAs aggregate data from census blocks based on the most common zip code occurring for addresses within the block. DDAs are designated annually.

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

Searchable online database of homes for sale, rent, and not currently on the market, with value estimator, market report, and real-estate trend tool. Users search by location (neighborhood, city, zip code, address) and parameters, such as property specifications, pricing, and keyword. Registration allows for favorite listing saving, customized property e-mail alerts, and other privileges. Users can also access real-estate listing data through an API.

Graph and download economic data for Rental Vacancy Rate for Texas (TXRVAC) from 1986 to 2024 about vacancy, rent, TX, rate, and USA.

This data layer shows U.S. Department of Housing and Urban Development (HUD) annually designated Small Area Difficult Development Areas (SADDAs). SADDAs are areas with high construction, land and utility costs relative to area median gross income and are based on Small Fair Market Rents, income limits, the 2010 census counts, and 5-year American Community Survey data.The unit of geography used to designate SADDAs in metro areas is the Zip Code Tabulation Area (ZCTA), which is made up of census blocks. ZCTAs aggregate data from census blocks based on the most common zip code occurring for addresses within the block. DDAs are designated annually.