48 datasets found
  1. F

    Consumer Price Index for All Urban Consumers: Rent of Primary Residence in...

    • fred.stlouisfed.org
    json
    Updated Jun 11, 2025
    + more versions
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    (2025). Consumer Price Index for All Urban Consumers: Rent of Primary Residence in U.S. City Average [Dataset]. https://fred.stlouisfed.org/series/CUUR0000SEHA
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jun 11, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    United States
    Description

    Graph and download economic data for Consumer Price Index for All Urban Consumers: Rent of Primary Residence in U.S. City Average (CUUR0000SEHA) from Dec 1914 to May 2025 about primary, rent, urban, consumer, CPI, inflation, price index, indexes, price, and USA.

  2. T

    Vital Signs: Rent Payments – by city (2022)

    • data.bayareametro.gov
    application/rdfxml +5
    Updated Feb 1, 2023
    + more versions
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    (2023). Vital Signs: Rent Payments – by city (2022) [Dataset]. https://data.bayareametro.gov/dataset/Vital-Signs-Rent-Payments-by-city-2022-/wjgr-k4g6
    Explore at:
    csv, tsv, application/rdfxml, xml, json, application/rssxmlAvailable download formats
    Dataset updated
    Feb 1, 2023
    Description

    VITAL SIGNS INDICATOR
    Rent Payments (EC8)

    FULL MEASURE NAME
    Median rent payment

    LAST UPDATED
    January 2023

    DESCRIPTION
    Rent payments refer to the cost of leasing an apartment or home and serves as a measure of housing costs for individuals who do not own a home. The data reflect the median monthly rent paid by Bay Area households across apartments and homes of various sizes and various levels of quality. This differs from advertised rents for available apartments, which usually are higher. Note that rent can be presented using nominal or real (inflation-adjusted) dollar values; data are presented inflation-adjusted to reflect changes in household purchasing power over time.

    DATA SOURCE
    U.S. Census Bureau: Decennial Census - https://nhgis.org
    Count 2 (1970)
    Form STF1 (1980-1990)
    Form SF3a (2000)

    U.S. Census Bureau: American Community Survey - https://data.census.gov/
    Form B25058 (2005-2021; median contract rent)

    Bureau of Labor Statistics: Consumer Price Index - https://www.bls.gov/data/
    1970-2021

    CONTACT INFORMATION
    vitalsigns.info@mtc.ca.gov

    METHODOLOGY NOTES (across all datasets for this indicator)
    Rent data reflects median rent payments rather than list rents (refer to measure definition above). American Community Survey 1-year data is used for larger geographies – Bay counties and most metropolitan area counties – while smaller geographies rely upon 5-year rolling average data due to their smaller sample sizes. Note that 2020 data uses the 5-year estimates because the ACS did not collect 1-year data for 2020.

    1970 Census data for median rent payments has been imputed from quintiles using methodology from California Department of Finance as the source data only provided the mean, rather than the median, monthly rent. Metro area boundaries reflects today’s metro area definitions by county for consistency, rather than historical metro area boundaries.

    Inflation-adjusted data are presented to illustrate how rent payments have grown relative to overall price increases; that said, the use of the Consumer Price Index (CPI) does create some challenges given the fact that housing represents a major chunk of consumer goods bundle used to calculate CPI. This reflects a methodological tradeoff between precision and accuracy and is a common concern when working with any commodity that is a major component of CPI itself.

  3. Rent Prices in European cities

    • kaggle.com
    Updated Aug 22, 2024
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    Te_Jota (2024). Rent Prices in European cities [Dataset]. https://www.kaggle.com/datasets/tejota/rent-prices-in-european-cities/code
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 22, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Te_Jota
    Area covered
    Europe
    Description

    Average rent per month in cities by type of dwelling

    Source of data: Eurostat

    Online data code: prc_colc_rent

    Last update: 11/12/2023 22:00

  4. M

    Vital Signs: List Rents – by city

    • open-data-demo.mtc.ca.gov
    • data.bayareametro.gov
    application/rdfxml +5
    Updated Jan 19, 2017
    + more versions
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    real Answers (2017). Vital Signs: List Rents – by city [Dataset]. https://open-data-demo.mtc.ca.gov/dataset/Vital-Signs-List-Rents-by-city/vpmm-yh3p/about
    Explore at:
    tsv, csv, json, xml, application/rdfxml, application/rssxmlAvailable download formats
    Dataset updated
    Jan 19, 2017
    Dataset authored and provided by
    real Answers
    Description

    VITAL SIGNS INDICATOR List Rents (EC9)

    FULL MEASURE NAME List Rents

    LAST UPDATED October 2016

    DESCRIPTION List rent refers to the advertised rents for available rental housing and serves as a measure of housing costs for new households moving into a neighborhood, city, county or region.

    DATA SOURCE real Answers (1994 – 2015) no link

    Zillow Metro Median Listing Price All Homes (2010-2016) http://www.zillow.com/research/data/

    CONTACT INFORMATION vitalsigns.info@mtc.ca.gov

    METHODOLOGY NOTES (across all datasets for this indicator) List rents data reflects median rent prices advertised for available apartments rather than median rent payments; more information is available in the indicator definition above. Regional and local geographies rely on data collected by real Answers, a research organization and database publisher specializing in the multifamily housing market. real Answers focuses on collecting longitudinal data for individual rental properties through quarterly surveys. For the Bay Area, their database is comprised of properties with 40 to 3,000+ housing units. Median list prices most likely have an upward bias due to the exclusion of smaller properties. The bias may be most extreme in geographies where large rental properties represent a small portion of the overall rental market. A map of the individual properties surveyed is included in the Local Focus section.

    Individual properties surveyed provided lower- and upper-bound ranges for the various types of housing available (studio, 1 bedroom, 2 bedroom, etc.). Median lower- and upper-bound prices are determined across all housing types for the regional and county geographies. The median list price represented in Vital Signs is the average of the median lower- and upper-bound prices for the region and counties. Median upper-bound prices are determined across all housing types for the city geographies. The median list price represented in Vital Signs is the median upper-bound price for cities. For simplicity, only the mean list rent is displayed for the individual properties. The metro areas geography rely upon Zillow data, which is the median price for rentals listed through www.zillow.com during the month. Like the real Answers data, Zillow's median list prices most likely have an upward bias since small properties are underrepresented in Zillow's listings. The metro area data for the Bay Area cannot be compared to the regional Bay Area data. Due to afore mentioned data limitations, this data is suitable for analyzing the change in list rents over time but not necessarily comparisons of absolute list rents. Metro area boundaries reflects today’s metro area definitions by county for consistency, rather than historical metro area boundaries.

    Due to the limited number of rental properties surveyed, city-level data is unavailable for Atherton, Belvedere, Brisbane, Calistoga, Clayton, Cloverdale, Cotati, Fairfax, Half Moon Bay, Healdsburg, Hillsborough, Los Altos Hills, Monte Sereno, Moranga, Oakley, Orinda, Portola Valley, Rio Vista, Ross, San Anselmo, San Carlos, Saratoga, Sebastopol, Windsor, Woodside, and Yountville.

    Inflation-adjusted data are presented to illustrate how rents have grown relative to overall price increases; that said, the use of the Consumer Price Index does create some challenges given the fact that housing represents a major chunk of consumer goods bundle used to calculate CPI. This reflects a methodological tradeoff between precision and accuracy and is a common concern when working with any commodity that is a major component of CPI itself. Percent change in inflation-adjusted median is calculated with respect to the median price from the fourth quarter or December of the base year.

  5. Price Index of Private Rents, UK: monthly price statistics

    • ons.gov.uk
    • cy.ons.gov.uk
    xlsx
    Updated Jul 16, 2025
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    Office for National Statistics (2025). Price Index of Private Rents, UK: monthly price statistics [Dataset]. https://www.ons.gov.uk/economy/inflationandpriceindices/datasets/priceindexofprivaterentsukmonthlypricestatistics
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Jul 16, 2025
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Area covered
    United Kingdom
    Description

    Private rent price statistics, including indices, annual percentage change and price levels.

  6. Index of Private Housing Rental Prices, UK: monthly estimates

    • ons.gov.uk
    • cy.ons.gov.uk
    xlsx
    Updated Feb 14, 2024
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    Office for National Statistics (2024). Index of Private Housing Rental Prices, UK: monthly estimates [Dataset]. https://www.ons.gov.uk/economy/inflationandpriceindices/datasets/indexofprivatehousingrentalpricesreferencetables
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Feb 14, 2024
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Area covered
    United Kingdom
    Description

    Rental price statistics historical data time series (indices and annual percentage change). These are official statistics in development.

  7. Canada Mortgage and Housing Corporation, average rents for areas with a...

    • www150.statcan.gc.ca
    • datasets.ai
    • +3more
    Updated Feb 4, 2025
    + more versions
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    Government of Canada, Statistics Canada (2025). Canada Mortgage and Housing Corporation, average rents for areas with a population of 10,000 and over [Dataset]. http://doi.org/10.25318/3410013301-eng
    Explore at:
    Dataset updated
    Feb 4, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    This table contains data described by the following dimensions (Not all combinations are available): Geography (247 items: Carbonear; Newfoundland and Labrador; Corner Brook; Newfoundland and Labrador; Grand Falls-Windsor; Newfoundland and Labrador; Gander; Newfoundland and Labrador ...), Type of structure (4 items: Apartment structures of three units and over; Apartment structures of six units and over; Row and apartment structures of three units and over; Row structures of three units and over ...), Type of unit (4 items: Two bedroom units; Three bedroom units; One bedroom units; Bachelor units ...).

  8. g

    Residential Rental Market Prices (RTB)

    • rdm.geohive.ie
    Updated Jan 19, 2022
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    rdm_curator (2022). Residential Rental Market Prices (RTB) [Dataset]. https://rdm.geohive.ie/items/6fbd997d0b6648ffa202d354073235d8
    Explore at:
    Dataset updated
    Jan 19, 2022
    Dataset authored and provided by
    rdm_curator
    Description

    Description: This data provides a range of statistics on residential rental prices. Data is available on average rental prices (€ per month) for property types by bedroom size – all bedrooms and then 1 to 4 bedrooms.The RTB Rent Index is the most accurate and authoritative report of its kind on the private rental sector in Ireland. The index is based on the RTB’s national register of tenancies and captures actual rents being paid for rented properties, rather than asking prices. The RTB Average Rent Dataset reports on the average rent in a number of locations around the country. The dashboards provide an annual view of transactions from 2008 to 2022.Geography available in RDM: State, Regional Assembly and Strategic Planning Area (SPA), County (26), Key Settlements.Source: Residential Tenancies Board (RTB)Weblink: https://data.cso.ie/table/RIQ02Date of last source data update: August 2023Update Schedule: Annual

  9. T

    United States Rent Inflation

    • tradingeconomics.com
    • it.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, United States Rent Inflation [Dataset]. https://tradingeconomics.com/united-states/rent-inflation
    Explore at:
    json, csv, xml, excelAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 31, 1954 - Jun 30, 2025
    Area covered
    United States
    Description

    Rent Inflation in the United States decreased to 3.80 percent in June from 3.90 percent in May of 2025. This dataset includes a chart with historical data for the United States Rent Inflation.

  10. Sao Paulo housing prices

    • kaggle.com
    Updated May 2, 2023
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    RenatoSN (2023). Sao Paulo housing prices [Dataset]. https://www.kaggle.com/datasets/renatosn/sao-paulo-housing-prices/versions/1
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 2, 2023
    Dataset provided by
    Kaggle
    Authors
    RenatoSN
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Area covered
    São Paulo
    Description

    This dataset contains information about rental properties in São Paulo, Brazil. The data was extracted from the QuintoAndar platform using web scraping techniques on May 1st, 2023. The dataset includes several useful pieces of information, such as the property's address, district, area, number of bedrooms, garage availability, monthly rent, type of property, and total cost.

    The dataset can be used for various analyses, such as understanding the average rental prices in different districts or identifying the most common types of properties in certain areas. Additionally, the data can be used to train machine learning models that predict rental prices based on property characteristics.

    It's important to note that since the data was obtained through web scraping techniques, there may be errors or incomplete information. Therefore, it's recommended that users of the dataset verify the information before using it for analysis or model training. Nevertheless, this dataset is a valuable source of information for anyone interested in analyzing the real estate market in São Paulo.

    Link of the webscrapping project: QuintoAndar-WebScrapping

    GitHub LinkedIn

    Este conjunto de dados contém informações sobre aluguel de imóveis em São Paulo, Brasil. Os dados foram extraídos da plataforma QuintoAndar usando técnicas de web scraping em 1º de maio de 2023. O conjunto de dados inclui várias informações úteis, como o endereço do imóvel, o bairro, a área, o número de quartos, a disponibilidade de garagem, o preço mensal do aluguel, o tipo de imóvel e o custo total.

    O conjunto de dados pode ser usado para diversas análises, como entender os preços médios de aluguel em diferentes bairros ou identificar os tipos de imóveis mais comuns em determinadas áreas. Além disso, os dados podem ser usados para treinar modelos de aprendizado de máquina que prevejam os preços de aluguel com base nas características do imóvel.

    É importante observar que, como os dados foram obtidos por meio de técnicas de web scraping, pode haver erros ou informações incompletas. Portanto, é recomendável que os usuários do conjunto de dados verifiquem as informações antes de usá-las para análises ou treinamento de modelos. No entanto, este conjunto de dados é uma fonte valiosa de informações para quem está interessado em analisar o mercado imobiliário em São Paulo.

    Link do projeto de WebScrapping: QuintoAndar-WebScrapping

    GitHub LinkedIn

  11. Private rental market summary statistics in England

    • ons.gov.uk
    • cy.ons.gov.uk
    xls
    Updated Dec 20, 2023
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    Office for National Statistics (2023). Private rental market summary statistics in England [Dataset]. https://www.ons.gov.uk/peoplepopulationandcommunity/housing/datasets/privaterentalmarketsummarystatisticsinengland
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Dec 20, 2023
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    Median monthly rental prices for the private rental market in England by bedroom category, region and administrative area, calculated using data from the Valuation Office Agency and Office for National Statistics.

  12. d

    Rent Burden Greater than 50%

    • catalog.data.gov
    • data.seattle.gov
    Updated Jan 31, 2025
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    City of Seattle ArcGIS Online (2025). Rent Burden Greater than 50% [Dataset]. https://catalog.data.gov/dataset/rent-burden-greater-than-50-34b2f
    Explore at:
    Dataset updated
    Jan 31, 2025
    Dataset provided by
    City of Seattle ArcGIS Online
    Description

    Displacement risk indicator showing how many households within the specified groups are facing severely housing cost burden (contributing more than 50% of monthly income toward housing costs).

  13. Apartment rent in the United States in 2025, by state

    • statista.com
    Updated May 13, 2025
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    Statista (2025). Apartment rent in the United States in 2025, by state [Dataset]. https://www.statista.com/statistics/1219332/average-apartment-rent-usa-by-state/
    Explore at:
    Dataset updated
    May 13, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 2025
    Area covered
    United States
    Description

    Apartment rents in two states and the District of Columbia in the U.S. exceeded ***** U.S. dollars in April 2025. In Hawaii, the median rent was about ***** U.S. dollars, nearly *** U.S. dollars higher than the national average. At the other end of the spectrum was Nebraska, where renters paid about ***** U.S. dollars for the median new lease. Overall, most states saw rental rates increase year-on-year.

  14. Live tables on rents, lettings and tenancies

    • gov.uk
    Updated Jun 26, 2025
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    Ministry of Housing, Communities and Local Government (2025). Live tables on rents, lettings and tenancies [Dataset]. https://www.gov.uk/government/statistical-data-sets/live-tables-on-rents-lettings-and-tenancies
    Explore at:
    Dataset updated
    Jun 26, 2025
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Ministry of Housing, Communities and Local Government
    Description

    Details about the different data sources used to generate tables and a list of discontinued tables can be found in Rents, lettings and tenancies: notes and definitions for local authorities and data analysts.

    Live Tables

    https://assets.publishing.service.gov.uk/media/6853e20180329f510de98989/Live_Table_600.ods">Table 600: number of households on local authority housing registers (waiting lists), by district, England, from 1987

     <p class="gem-c-attachment_metadata"><span class="gem-c-attachment_attribute"><abbr title="OpenDocument Spreadsheet" class="gem-c-attachment_abbr">ODS</abbr></span>, <span class="gem-c-attachment_attribute">153 KB</span></p>
    
    
    
      <p class="gem-c-attachment_metadata">
       This file is in an <a href="https://www.gov.uk/guidance/using-open-document-formats-odf-in-your-organisation" target="_self" class="govuk-link">OpenDocument</a> format
    

    https://assets.publishing.service.gov.uk/media/6853e20c1203c00468ba2ae5/Live_Table_602.ods">Table 602: local authority owned dwellings let by local authorities, England, from 1981-82

     <p class="gem-c-attachment_metadata"><span class="gem-c-attachment_attribute"><abbr title="OpenDocument Spreadsheet" class="gem-c-attachment_abbr">ODS</abbr></span>, <span class="gem-c-attachment_attribute">10.7 KB</span></p>
    
    
    
      <p class="gem-c-attachment_metadata">
       This file is in an <a href="https://www.gov.uk/guidance/using-open-document-formats-odf-in-your-organisation" target="_self" class="govuk-link">OpenDocument</a> format
    

  15. d

    Rent Burden Greater than 30%

    • catalog.data.gov
    • data.seattle.gov
    • +2more
    Updated Jan 31, 2025
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    City of Seattle ArcGIS Online (2025). Rent Burden Greater than 30% [Dataset]. https://catalog.data.gov/dataset/rent-burden-greater-than-30-7408b
    Explore at:
    Dataset updated
    Jan 31, 2025
    Dataset provided by
    City of Seattle ArcGIS Online
    Description

    Displacement risk indicator showing how many households within the specified groups are facing housing cost burden (contributing more than 30% of monthly income toward housing costs).

  16. G

    Commercial rents services price index, monthly

    • open.canada.ca
    • www150.statcan.gc.ca
    csv, html, xml
    Updated May 26, 2025
    + more versions
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    Statistics Canada (2025). Commercial rents services price index, monthly [Dataset]. https://open.canada.ca/data/en/dataset/eb8b741d-412f-4bc5-bfbe-0031139852ad
    Explore at:
    html, csv, xmlAvailable download formats
    Dataset updated
    May 26, 2025
    Dataset provided by
    Statistics Canada
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    Commercial rents services price index (CRSPI) by North American Industry Classification System (NAICS). Monthly data are available from January 2006 for the total index and from January 2019 for all other indexes. The table presents data for the most recent reference period and the last five periods. The base period for the index is (2019=100).

  17. A

    ‘Rent Burden Greater than 50%’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Jun 13, 2020
    + more versions
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2020). ‘Rent Burden Greater than 50%’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/data-gov-rent-burden-greater-than-50-9020/7f8aa66a/?iid=004-597&v=presentation
    Explore at:
    Dataset updated
    Jun 13, 2020
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Analysis of ‘Rent Burden Greater than 50%’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/d1cfa1f1-7caa-4e0c-9e95-660511e4bf9d on 27 January 2022.

    --- Dataset description provided by original source is as follows ---

    Displacement risk indicator showing how many households within the specified groups are facing severely housing cost burden (contributing more than 50% of monthly income toward housing costs).

    --- Original source retains full ownership of the source dataset ---

  18. u

    Housing Summaries (2005-2009)

    • gstore.unm.edu
    • gimi9.com
    • +4more
    Updated Jul 25, 2013
    + more versions
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    University of New Mexico, Bureau of Business and Economic Research (BBER) (2013). Housing Summaries (2005-2009) [Dataset]. https://gstore.unm.edu/apps/rgisarchive/datasets/ad151172-88fe-4246-b675-79cb04ec2ae0/metadata/ISO-19115:2003.html
    Explore at:
    Dataset updated
    Jul 25, 2013
    Dataset provided by
    University of New Mexico, Bureau of Business and Economic Research (BBER)
    Time period covered
    Jan 1, 2005
    Area covered
    West Bound -109.050178527832 East Bound -103.002067565918 North Bound 37.0002937316895 South Bound 31.3321743011475
    Description

    The American Community Survey (ACS) is a nationwide survey conducted by the U.S. Census Bureau that is designed to provide communities a fresh look at how they are changing. It is a critical element in the Census Bureau's reengineered decennial census program, incorporating the detailed socioeconomic and housing questions that were previously asked on the decennial census long form into the ACS questionnaire. The ACS now collects and produces this detailed population and housing information every year instead of every ten years. Data are collected on an on-going basis throughout the year and are released each year for large geographic areas, those with 65,000 persons or more. However, sample sizes are not large enough for annual releases that cover smaller areas, those with less than 65,000 persons. Data that are suitable for areas with 20,000 to 65,000 persons are accumulated over three years and termed a three-year period estimate, the first of which was for the 2005-2007 period. Data that are suitable for areas with less than 20,000 persons are accumulated over five years and termed a five-year period estimate, the first of which was for the 2005-2009 period. The data in this series of RGIS Clearinghouse tables are for all New Mexico counties and are based on the 2005-2009 ACS Five-Year Period Estimates collected between January 2005 and December 2009. These data tables are a summary of all major housing topics published through the ACS, providing information about the condition of housing, and illuminating various financial characteristics of the housing stock. Major topics include housing occupancy, year structure built, rooms and bedrooms, housing tenure (owners and renters), year householder moved into unit, vehicles available, type of house heating fuel, units without complete plumbing and kitchen facilities or without telephone service, occupants per room, home value, mortgage status, monthly owner costs, owner costs as a percentage of household income, gross rent, and gross rent as a percentage of household income. Percentages are shown along with numeric estimates for most data items. Because the data are based on a sample the Census Bureau also provides information about the magnitude of sampling error. Consequently, the estimated margin of error (MOE) is shown next to each data item. Each housing topic is covered in a separate file in both Excel and CSV formats. These files, along with file-specific descriptions (in Word and text formats) are available in a single zip file.

  19. t

    GROSS RENT - DP04_MAN_P

    • portal.tad3.org
    Updated Nov 18, 2024
    + more versions
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    (2024). GROSS RENT - DP04_MAN_P [Dataset]. https://portal.tad3.org/dataset/gross-rent-dp04_man_p
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    Dataset updated
    Nov 18, 2024
    License

    Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
    License information was derived automatically

    Description

    SELECTED HOUSING CHARACTERISTICS GROSS RENT - DP04 Universe - Occupied units paying rent Survey-Program - American Community Survey 5-year estimates Years - 2020, 2021, 2022 Gross rent is the contract rent plus the estimated average monthly cost of utilities (electricity, gas, and water and sewer) and fuels (oil, coal, kerosene, wood, etc.) if these are paid by the renter (or paid for the renter by someone else). Gross rent is intended to eliminate differentials that result from varying practices with respect to the inclusion of utilities and fuels as part of the rental payment. The estimated costs of water and sewer, and fuels are reported on a 12-month basis but are converted to monthly figures for the tabulations. Renter units occupied without payment of rent are shown separately as “No rent paid” in the tabulations.

  20. Average residential rent in Greece 2024, by area

    • statista.com
    Updated Jul 11, 2025
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    Statista (2025). Average residential rent in Greece 2024, by area [Dataset]. https://www.statista.com/statistics/1480003/average-residential-rent-greece-by-area/
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    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Greece
    Description

    In the second quarter of 2024, the average residential rent price in Greece ranged between *** euros per square meter and **** euros per square meter, depending on the area. Chalkidiki had the highest average residential rent price in the country by far, at ***** euros per square meter, followed by the Cyclades at ***** euros per square meter and the southern part of Athens at **** euros per square meter. In contrast, Kilkis prefecture had the lowest rental price per square meter at **** euros.

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(2025). Consumer Price Index for All Urban Consumers: Rent of Primary Residence in U.S. City Average [Dataset]. https://fred.stlouisfed.org/series/CUUR0000SEHA

Consumer Price Index for All Urban Consumers: Rent of Primary Residence in U.S. City Average

CUUR0000SEHA

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28 scholarly articles cite this dataset (View in Google Scholar)
jsonAvailable download formats
Dataset updated
Jun 11, 2025
License

https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

Area covered
United States
Description

Graph and download economic data for Consumer Price Index for All Urban Consumers: Rent of Primary Residence in U.S. City Average (CUUR0000SEHA) from Dec 1914 to May 2025 about primary, rent, urban, consumer, CPI, inflation, price index, indexes, price, and USA.

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