Context

The purpose of this dataset is to provide updated data on the Zillow Observed Rent Index (ZORI). Most of the Zillow datasets on Kaggle have not been updated in four years, and no other dataset except one contains information related to rent. Providing updated data on this will also allow the community to analyze the effects of COVID-19 on rent prices, which could not be done with previous available data sets.

Content

Zillow Observed Rent Index (ZORI): A smoothed measure of the typical observed market rate rent across a given region. ZORI is a repeat-rent index that is weighted to the rental housing stock to ensure representativeness across the entire market, not just those homes currently listed for-rent. The index is dollar-denominated by computing the mean of listed rents that fall into the 40th to 60th percentile range for all homes and apartments in a given region, which is once again weighted to reflect the rental housing stock. Details available in ZORI methodology. https://www.zillow.com/research/methodology-zori-repeat-rent-27092/

This dataset contains two files. The Metro dataset looks at the median rent prices for large US cities. The ZIP code dataset breaks the US cities down by their ZIP codes. Note that the region IDs in both datasets are only used for tracking purposes. Also, some of the ZIP codes under the Region Name are less than the standard five-digit zip code and unreliable. Even if you add zeros in accounting for possible formatting mistakes. It is recommended to remove these entries since there is no way to identify which ZIP code the entry actually represents. These entries are left in here in case some analyst can solve the issue.

Acknowledgements

Zillow provides many useful open source datasets that relate to housing, which can be found at Zillow Research Data. https://www.zillow.com/research/data/ This dataset was also prompted by an older dataset I came across that only lacked updated data. https://www.kaggle.com/zillow/rent-index Thumbnail and banner picture is from this pixabay artist https://pixabay.com/users/pexels-2286921/

Inspiration

1. Where are the cheapest and most expensive ZIP codes to live?
2. We all know rent increases overtime, but has it been increasing at a faster rate since 2014?
3. If rent has been increasing at a faster rate, what year did it increase the fastest?
4. What cities or ZIP codes are increasing rent the fastest and by how much?
5. Did rent continue to increase during the COVID-19 pandemic, and was it at a faster or slower rate than previous years?

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 2026Date Update: FY2026 : Oct. 1 - Sept. 30

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

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

2025 HUD Fair Market Rents (FMR) for Section 8 Housing Choice Voucher Program in Louisville, KY. Includes rent limits by zip code for studio through 4-bedroom units.

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).

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

2025 HUD Fair Market Rents (FMR) for Section 8 Housing Choice Voucher Program in Pittsburgh, PA. Includes rent limits by zip code for studio through 4-bedroom units.

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.

2025 HUD Fair Market Rents (FMR) for Section 8 Housing Choice Voucher Program in Columbus, OH. Includes rent limits by zip code for studio through 4-bedroom units.

2025 HUD Fair Market Rents (FMR) for Section 8 Housing Choice Voucher Program in Cincinnati, OH. Includes rent limits by zip code for studio through 4-bedroom units.

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.

Context

In order to guarantee transparency in the housing rental market, the result of the exploitation of tax sources of the data on leases of habitual residence is published.

Content

1. BI_ALVHEPCO_TVC_18: Group GGT01 VC rent subset count: Collective Housing as a typology of more surface
2. BI_ALVHEPCO_TVU_18: Rent subset group GGT01 VU: Single Family or Rural Housing as a typology of more surface
3. ALQM2mes_LV_M_VC_18: Monthly rent m2 medium m2 Group GGT01 VC: Collective Housing as a typology of more surface
4. ALQM2mes_LV_25_VC_18: Monthly rent m2 25th percentile Group GGT01 VC: Collective Housing as a typology of more surface
5. ALQM2mes_LV_75_VC_18: Monthly rent m2 75th percentile Group GGT01 VC: Collective Housing as a typology of more surface
6. ALQM2mes_LV_M_VU_18: Monthly rent m2 medium m2 Group GGT01 VU: Single-Family or Rural Housing as a typology of more surface
7. ALQM2mes_LV_25_VU_18: Monthly rent m2 25th percentile Group GGT01 VC: Single-Family or Rural Housing as a typology of more surface
8. ALQM2mes_LV_75_VU_18: Monthly rent m2 75th percentile Group GGT01 VC: Single-Family or Rural Housing as a typology of more surface
9. ALQTBID12_M_VC_18: Monthly rental of all medium-sized real estate Group GGT01 VC: Collective Housing as a typology of more surface
10. ALQTBID12_25_VC_18: Monthly rental of all real estate 25th percentile Group GGT01 VC: Collective Housing as a typology of more surface
11. ALQTBID12_75_VC_18: Monthly rental of all the 75th percentile real estate Group GGT01 VC: Collective Housing as a typology of more surface
12. ALQTBID12_M_VU_18: Monthly rental of all medium-sized real estate Group GGT01 VU: Single-Family or Rural Housing as a typology of more surface
13. ALQTBID12_25_VU_18: Monthly rental of all real estate 25th percentile Group GGT01 VC: Single-Family or Rural Housing as a typology of more surface
14. ALQTBID12_75_VU_18: Monthly rental of all the real estate 75th percentile Group GGT01 VC: Single-Family or Rural Housing as a typology of more surface
15. SLVM2_M_VC_18: Surface m2 medium Group GGT01 VC: Collective Housing as a typology of more surface
16. SLVM2_25_VC_18: Area m2 25th percentile Group GGT01 VC: Collective Housing as a typology of more area
17. SLVM2_75_VC_18: Area m2 75th percentile Group GGT01 VC: Collective Housing as a typology of more area
18. SLVM2_M_VU_18: Surface m2 medium Group GGT01 VU: Single-Family or Rural Housing as a typology of more surface
19. SLVM2_25_VU_18: Area m2 25th percentile Group GGT01 VU: Single-Family or Rural Housing as a typology of more surface

20. SLVM2_75_VU_18: Area m2 75th percentile Group GGT01 VU: Single-Family or Rural Housing as a typology of more surface

21. CUSEC_R: Unique Code of Census Section Population Census VARCHAR(10)

22. CUSEC: Unique Code of Census Section Population Census INT

23. CUMUN: Unique Municipality Code Census Population INT

24. CSEC: Population Census Section Code INT

25. CDIS: District Code Census Population Census INT

26. CMUN: Municipality Code Census Population INT

27. CPRO: Province Code Population Census INT

28. CUSEC: Population Census Section Code INT

29. CCA: Unique Code of the Autonomous Community Population Census INT

30. CUDIS: Unique District Code Census Population Census INT

31. NPRO: Province Name Census Population VARCHAR(50)

32. NCA: Autonomous Community Name Population Census VARCHAR(50)

33. NMUN: Municipality Name Census Population VARCHAR(50)

Acknowledgements

This dataset comes directly from https://www.mitma.gob.es/vivienda/alquiler/indice-alquiler. I have just adapted it for Kaggle.

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

About this Dataset

The Zillow Rent Index is the median estimated monthly rental price for a given area, and covers multifamily, single family, condominium, and cooperative homes in Zillow’s database, regardless of whether they are currently listed for rent. It is expressed in dollars and is seasonally adjusted. The Zillow Rent Index is published at the national, state, metro, county, city, neighborhood, and zip code levels. Zillow produces rent estimates (Rent Zestimates) based on proprietary statistical and machine learning models. Within each county or state, the models observe recent rental listings and learn the relative contribution of various home attributes in predicting prevailing rents. These home attributes include physical facts about the home, prior sale transactions, tax assessment information and geographic location as well as the estimated market value of the home (Zestimate). Based on the patterns learned, these models estimate rental prices on all homes, including those not presently for rent. Because of the availability of Zillow rental listing data used to train the models, Rent Zestimates are only available back to November 2010; therefore, each ZRI time series starts on the same date. Acknowledgement The rent index data was calculated from Zillow's proprietary Rent Zestimates and published on its website.

Category

Economic

Keywords

Home,cities,rent,Real Estate,Mortgage

Row Count

13131

Price

Free

What you get:

Upvote! The database contains +40,000 records on US Gross Rent & Geo Locations. The field description of the database is documented in the attached pdf file. To access, all 325,272 records on a scale roughly equivalent to a neighborhood (census tract) see link below and make sure to upvote. Upvote right now, please. Enjoy!

Get the full free database with coupon code: FreeDatabase, See directions at the bottom of the description... And make sure to upvote :) coupon ends at 2:00 pm 8-23-2017

Gross Rent & Geographic Statistics:

• Mean Gross Rent (double)
• Median Gross Rent (double)
• Standard Deviation of Gross Rent (double)
• Number of Samples (double)
• Square area of land at location (double)
• Square area of water at location (double)

Geographic Location:

• Longitude (double)
• Latitude (double)
• State Name (character)
• State abbreviated (character)
• State_Code (character)
• County Name (character)
• City Name (character)
• Name of city, town, village or CPD (character)
• Primary, Defines if the location is a track and block group.
• Zip Code (character)
• Area Code (character)

Abstract

The data set originally developed for real estate and business investment research. Income is a vital element when determining both quality and socioeconomic features of a given geographic location. The following data was derived from over +36,000 files and covers 348,893 location records.

License

Only proper citing is required please see the documentation for details. Have Fun!!!

Golden Oak Research Group, LLC. “U.S. Income Database Kaggle”. Publication: 5, August 2017. Accessed, day, month year.

For any questions, you may reach us at research_development@goldenoakresearch.com. For immediate assistance, you may reach me on at 585-626-2965

please note: it is my personal number and email is preferred

Check our data's accuracy: Census Fact Checker

Access all 325,272 location for Free Database Coupon Code:

Don't settle. Go big and win big. Optimize your potential**. Access all gross rent records and more on a scale roughly equivalent to a neighborhood, see link below:

• Website: Golden Oak Research make sure to upvote

A small startup with big dreams, giving the every day, up and coming data scientist professional grade data at affordable prices It's what we do.

Median Gross Rent (Dollars) Report based on US Census and American Community Survey Data.

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

2025 HUD Fair Market Rents (FMR) for Section 8 Housing Choice Voucher Program in Memphis, TN. Includes rent limits by zip code for studio through 4-bedroom units.

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.