What is Rental Data?

Rental data encompasses detailed information about residential rental properties, including single-family homes, multifamily units, and large apartment complexes. This data often includes key metrics such as rental prices, occupancy rates, property amenities, and detailed property descriptions. Advanced rental datasets integrate listings directly sourced from property management software systems, ensuring real-time accuracy and eliminating reliance on outdated or scraped information.

Additional Rental Data Details

The rental data is sourced from over 20,000 property managers via direct feeds and property management platforms, covering over 30 percent of the national rental housing market for diverse and broad representation. Real-time updates ensure data remains current, while verified listings enhance accuracy, avoiding errors typical of survey-based or scraped datasets. The dataset includes 14+ million rental units with detailed descriptions, rich photography, and amenities, offering address-level granularity for precise market analysis. Its extensive coverage of small multifamily and single-family rentals sets it apart from competitors focused on premium multifamily properties.

Rental Data Includes:

• Property Types
• Single-Family Rentals
• Small Multi-family Units
• Premium Apartments
• 16,000+ ZIP Codes
• 800+ MSAs
• Pricing Trends
• Lease Terms Amenities

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 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.

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.

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.

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

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

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).

What makes your data unique? - We have our proprietary AI to clean outliers and to calculate occupancy rate accurately.

How is the data generally sourced? - Web scraped data from Airbnb. Scraped on a weekly basis.

What are the primary use-cases or verticals of this Data Product? - Tourism & DMO: A one-page CSV will give you a clear picture of the private lodging sector in your entire country. - Property Management: Understand your market to expand your business strategically. - Short-term rental investor: Identify profitable areas.

Do you cover country X or city Y?

We have data coverage from the entire world. Therefore, if you can't find the exact dataset you need, feel free to drop us a message. Our clients have bought datasets like 1) Airbnb data by US zipcode 2) Airbnb data by European cities 3) Airbnb data by African countries.

Our extensive database contains approximately 800,000 active rental property listings from across the United States. Updated daily, this comprehensive collection provides real estate professionals, investors, and property managers with valuable market intelligence and business opportunities. Database Contents

Property Addresses: Complete location data including street address, city, state, ZIP code Listing Dates: Original listing date and most recent update date Availability Status: Currently available, pending, or recently rented properties Geographic Coverage: Properties spanning all 50 states and major metropolitan areas

Applications & Uses

Market Analysis: Track rental pricing trends across different regions and property types Investment Research: Identify high-opportunity markets with favorable rental conditions Lead Generation: Connect with property owners potentially needing management services Competitive Intelligence: Monitor listing volumes, vacancy rates, and market saturation Business Development: Target specific neighborhoods or property categories for expansion

File Format & Delivery

Organized in easy-to-use CSV format for seamless integration with data analysis tools Accessible through secure download portal or API connection Daily updates ensure you're working with the most current market information Custom filtering options available to narrow results by location, date range, or other criteria

Data Quality

Rigorous validation processes to ensure address accuracy Duplicate listing detection and removal Regular verification of active status Standardized format for consistent analysis

Subscription Benefits

Access to historical listing archives for trend analysis Advanced search capabilities to target specific property characteristics Regular market reports summarizing key trends and opportunities Custom data exports tailored to your specific business needs

AK ~ 1,342 listings AL ~ 6,636 listings AR ~ 4,024 listings AZ ~ 25,782 listings CA ~ 102,833 listings CO ~ 14,333 listings CT ~ 10,515 listings DC ~ 1,988 listings DE ~ 1,528 listings FL ~ 152,258 listings GA ~ 28,248 listings HI ~ 3,447 listings IA ~ 4,557 listings ID ~ 3,426 listings IL ~ 42,642 listings IN ~ 8,634 listings KS ~ 3,263 listings KY ~ 5,166 listings LA ~ 11,522 listings MA ~ 53,624 listings MD ~ 12,124 listings ME ~ 1,754 listings MI ~ 12,040 listings MN ~ 7,242 listings MO ~ 10,766 listings MS ~ 2,633 listings MT ~ 1,953 listings NC ~ 22,708 listings ND ~ 1,268 listings NE ~ 1,847 listings NH ~ 2,672 listings NJ ~ 31,286 listings NM ~ 2,084 listings NV ~ 13,111 listings NY ~ 94,790 listings OH ~ 15,843 listings OK ~ 5,676 listings OR ~ 8,086 listings PA ~ 37,701 listings RI ~ 4,345 listings SC ~ 8,018 listings SD ~ 1,018 listings TN ~ 15,983 listings TX ~ 132,620 listings UT ~ 3,798 listings VA ~ 14,087 listings VT ~ 946 listings WA ~ 15,039 listings WI ~ 7,393 listings WV ~ 1,681 listings WY ~ 730 listings

Grand Total ~ 977,010 listings

This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from American Community Survey 5-year estimates for 2011-2015 to show housing characteristics including vacancy, age of structure, type of structure, and owner/renter occpancy, by zip code in the Atlanta region.

The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number. ACS data presented here represent combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2011-2015). Therefore, these data do not represent any one specific point in time or even one specific year. For further explanation of ACS estimates and methodology, click here.

Attributes:

ZIP = Zip code (text)

ZIP_dbl = Zip code (numeric)

Total_Population_2010 = Total Population, 2010 Census

Total_Population_2011_2015_ACS = Total Population, 2011-2015 American Community Survey (ACS)

Total_housing_units = Total housing units

Occupied_housing_units = #, Occupied housing units

Percent_Occupied_housing_units = %, Occupied housing units

Vacant_housing_units = #, Vacant housing units

Percent_Vacant_housing_units = %, Vacant housing units

Homeowner_vacancy_rate = Homeowner vacancy rate

Rental_vacancy_rate = Rental vacancy rate

One_unit_detatched_housing_unit = #, 1-unit detached housing units

Percent_1Unit_Detached = %, 1-unit detached housing units

Housing_units_built_since_2000 = #, Housing units built since 2000

Pct_Units_Built_Since_2000 = %, Housing units built since 2000

Units_Built_1980_to_1999 = #, Housing units built 1980 to 1999

Pct_Units_Built_1980_to_1999 = %, Housing units built 1980 to 1999

Units_Built_1979_or_Earlier = #, Housing units built 1979 or earlier

Pct_Units_Built_1979_or_Earlier = %, Housing units built 1979 or earlier

Owner_occupied_housing_units = Housing Tenure: #, Owner occupied housing units

Pct_Owner_Occ_HousUnits = Housing Tenure: %, Owner occupied housing units

Renter_occupied_housing_units = Housing Tenure: #, Renter occupied housing units

Pct_Renter_Occ_Units = Housing Tenure: %, Renter occupied housing units

last_edited_date = Last date the feature was edited by ARC

Source: U.S. Census Bureau, Atlanta Regional Commission

Date: 2011-2015

Credits

U.S. Census Bureau, Atlanta Regional Commission

Among the ** markets with the largest industrial and logistics real estate inventory in the U.S., Orange County, CA, had the highest rental rate in the first quarter of 2025. The square footage rent of warehouse and distribution centers was ***** U.S. dollars, while for manufacturing sites it was ***** U.S. dollars. In the largest market, Chicago, IL, rents were significantly lower, at ****U.S. dollars.

Release Date: 2015-09-29...Table Name.Island Areas: Geographic Area Series: Selected Expenses and Rental Payments by Kind of Business for Puerto Rico: 2012.....Release Schedule.The data in this file are scheduled for release in September 2015.....Key Table Information.Refer to Survey Methodology for additional information...Universe.The universe includes all establishments with payroll at any time during 2012 and classified in NAICS sectors 21 - 81. Establishments classified in NAICS sectors 23 and 31 - 33 are excluded. Data for 2012 are based on the 2012 NAICS Manual.....Geography Coverage.The data are shown at the state-equivalent (ST) Puerto Rico level....Industry Coverage.The data are shown for wholesale and retail kinds of business at selected 2- through 4- digit NAICS code levels, and for selected kinds of business at selected 2- and 3- digit NAICS code levels.....Data Items and Other Identifying Records.This file contains data for:. . Number of establishments. Total selected expenses. Operating expenses. Communication services. Expensed computer hardware and supplies and purchased computer services. Purchased office supplies. Repair and maintenance of machinery and equipment. Repair and maintenance of buildings and other structures. Total rental payments. Rental payments for buildings and other structures. Rental payments for machinery and equipment. ..The data are shown for selected expenses and rental payments.....Sort Order.The data are presented in ascending NAICS code sequence.....FTP Download.Download the entire table athttps://www2.census.gov/econ2012/IA/sector00/IA1200A23.zip....Contact Information.U.S. Census Bureau, Economy-Wide Statistics Division.Island Areas and Survey of Business Owners Branch.Tel: (301)763-3314.ewd.outreach@census.gov...Note: Includes only establishments or firms with payroll. Data based on the 2012 Economic Census of Island Areas. Figures may not add due to rounding. For information on confidentiality protection, sampling error, nonsampling, and definitions, see Methodology..Symbols:D - Withheld to avoid disclosing data for individual companies; data are included in higher level totalsN - Not available or not comparableFor a complete list of all economic programs symbols, see the Symbols Glossary.Source: U.S. Census Bureau, 2012 Economic Census of Island Areas

The Los Angeles Index of Neighborhood Change is a tool that allows users to explore the extent to which Los Angeles Zip Codes have undergone demographic change from 2000 to 2014. Created in 2015/2016, the data comes from 2000, 2005, 2013, and 2014. Please read details about each measure for exact years.Index scores are an aggregate of six demographic measures indicative of gentrification. The measures are standardized and combined using weights that reflect the proportion of each measure that is statistically significant.Measure 1: Percent change in low/high IRS filer ratio. For the purposes of this measure, High Income = >$75K Adjust Gross Income tax filer and Low Income = <$25k filers who also received an earned income tax credit. Years Compared for Measure 1: 2005 and 2013 | Source: IRS Income Tax Return DataMeasure 2: Change in percent of residents 25 years or older with Bachelor's Degrees or HigherMeasure 3: Change in percent of White, non-Hispanic/Latino residentsMeasure 4: Percent change in median household income (2000 income is adjusted to 2014 dollars)Measure 5: % Change in median gross rent (2000 rent is adjusted to 2013/2014 dollars)Measure 6: Percent change in average household size Year Compared for Measures 2-5: 2000 and 2014, Measure 6: 2013Sources: Decennial Census, 2000 | American Community Survey (5-Year Estimate, 2009-2013; 2010; 2014)Date Updated: December 13, 2016Refresh Rate: Never - Historical data

Release Date: 2015-02-27...Table Name.Island Areas: Industry Series: Capital Expenditures and Rental Payments for Plant and Equipment by Manufacturing Industry for Puerto Rico and Metropolitan Areas: 2012.....Key Table Information.Refer to Methodology for additional information......Universe.The universe includes all establishments with payroll at any time during 2012, and classified in NAICS sectors 31-33. Data for 2012 are based on the 2012 NAICS Manual......Geography Coverage.The data are shown at the following geographic levels for Puerto Rico:..State-equivalent (ST - Puerto Rico).Combined Statistical Area (CSA).Metropolitan Statistical Area (MSA)..Note: The "Not in metropolitan or micropolitan area, Puerto Rico" category includes Culebra, Las Marías, Maricao, and Vieques municipios which are not part of any CSA or MSA......Industry Coverage.The data are shown for 2- and 3- digit NAICS code level and selected 4- and 5- digit NAICS code levels. The data for combined and metropolitan statistical areas are shown at the 2- and selected 3- digit NAICS code levels.......Data Items and Other Identifying Records.This file contains data on:. . Number of establishments. Total capital expenditures (new and used). Capital expenditures on new buildings and other structures. Capital expenditures on new machinery and equipment. Capital expenditures on used buildings. Capital expenditures for used machinery. Depreciation charges. Total rental payments. Rental payments for building and other structures. Rental payments for machinery and equipment. .....Sort Order.Data are presented in ascending NAICS code and geography levels sequence......FTP Download.Download the entire table athttps://www2.census.gov/econ2012/IA/sector00/IA1200IPRM14.zip....Contact Information.U.S. Census Bureau, Economy-Wide Statistics Division.Island Areas and Business Owners Branch.Tel: (301)763-3314.csd.ia@census.gov...Note: Data for 2012 are based on the 2012 NAICS..Note: The "Not in metropolitan or micropolitan area, Puerto Rico" category includes Culebra, Las Marías, Maricao, and Vieques municipios which are not part of any CSA or MSA..Note: The level of geographic detail covered varies for Puerto Rico manufacturing. Refer to geography help for a detailed list of the geographies. Note that tables IA1200IPRM02 and IA1200IPRM05 include different geographic levels (combined statistical areas (CSA), metropolitan and micropolitan statistical areas (MSA), and municipios.) Tables IA1200IPRM12 - IA1200IPRM14 present data at the CSAs and MSAs level..Note: Includes only establishments with payroll. Data based on the 2012 Economic Census of Island Areas. Figures may not add to total due to rounding. For information on confidentiality protection, sampling error, nonsampling error, and definitions, see Methodology..Symbols:D - Withheld to avoid disclosing data for individual companies; data are included in higher level totalsN - Not available or not comparableFor a complete list of all economic programs symbols, see the Symbols Glossary.Source: U.S. Census Bureau, 2012 Economic Census of Island Areas.Note: The data in this file are based on the 2012 Economic Census of Island Areas. To maintain confidentiality, the U.S. Census Bureau suppresses data to protect the identity of any business or individual. The census results in this file contain sampling and nonsampling error. Data users who create their own estimates using data from this file should cite the U.S. Census Bureau as the source of the original data only. For the full technical documentation, see Methodology link in above headnote.