51 datasets found
  1. F

    Average Sales Price of Houses Sold for the United States

    • fred.stlouisfed.org
    json
    Updated Apr 23, 2025
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    (2025). Average Sales Price of Houses Sold for the United States [Dataset]. https://fred.stlouisfed.org/series/ASPUS
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    jsonAvailable download formats
    Dataset updated
    Apr 23, 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 Average Sales Price of Houses Sold for the United States (ASPUS) from Q1 1963 to Q1 2025 about sales, housing, and USA.

  2. F

    Median Sales Price of Houses Sold for the United States

    • fred.stlouisfed.org
    json
    Updated Apr 23, 2025
    + more versions
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    (2025). Median Sales Price of Houses Sold for the United States [Dataset]. https://fred.stlouisfed.org/series/MSPUS
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    jsonAvailable download formats
    Dataset updated
    Apr 23, 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 Median Sales Price of Houses Sold for the United States (MSPUS) from Q1 1963 to Q1 2025 about sales, median, housing, and USA.

  3. Median sales price of new homes sold in the U.S. 1965-2023

    • statista.com
    • ai-chatbox.pro
    Updated Jun 20, 2025
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    Statista (2025). Median sales price of new homes sold in the U.S. 1965-2023 [Dataset]. https://www.statista.com/statistics/199895/median-sales-prices-of-new-homes-sold-in-the-us-since-1965/
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    Dataset updated
    Jun 20, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The median sales price of new homes sold in the United States increased steadily from 1965 to 2023. In 2023, a newly built home cost approximately ******* U.S. dollars. That was a decline of nearly ****** U.S. dollars and the first decrease since 2018. Prices varied greatly across different regions in the country, with the most expensive housing found in the Northeast region.

  4. Average residential property selling price in the Netherlands 1995-2023

    • statista.com
    • ai-chatbox.pro
    Updated Oct 28, 2024
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    Statista (2024). Average residential property selling price in the Netherlands 1995-2023 [Dataset]. https://www.statista.com/statistics/577251/average-selling-price-of-houses-in-the-netherlands/
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    Dataset updated
    Oct 28, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Netherlands
    Description

    The average price paid when a Dutch private individual bought existing residential property in 2023 was about 416,000 euros. In recent years, the housing market has continued to grow in the Netherlands due to low mortgage rates, a recovering economy and a high level of consumer confidence. For example, the number of registered transactions nearly doubled between 2011 and 2021, before declining in 2022.

  5. F

    All-Transactions House Price Index for California

    • fred.stlouisfed.org
    json
    Updated May 27, 2025
    + more versions
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    (2025). All-Transactions House Price Index for California [Dataset]. https://fred.stlouisfed.org/series/CASTHPI
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    jsonAvailable download formats
    Dataset updated
    May 27, 2025
    License

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

    Area covered
    California
    Description

    Graph and download economic data for All-Transactions House Price Index for California (CASTHPI) from Q1 1975 to Q1 2025 about appraisers, CA, HPI, housing, price index, indexes, price, and USA.

  6. o

    Data and Code for: The Racial Dynamics of US Neighborhoods and their Housing...

    • openicpsr.org
    delimited
    Updated Apr 30, 2025
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    Daniel Hartley; Jonathan Rose; Becky Schneirov (2025). Data and Code for: The Racial Dynamics of US Neighborhoods and their Housing Prices from 1950 through 1990 [Dataset]. http://doi.org/10.3886/E228226V1
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    delimitedAvailable download formats
    Dataset updated
    Apr 30, 2025
    Dataset provided by
    American Economic Association
    Authors
    Daniel Hartley; Jonathan Rose; Becky Schneirov
    License

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

    Area covered
    United States
    Description

    Data and Code for replication of results. Abstract of paper: In this paper, we use k-medians clustering to categorize urban neighborhoods according to the evolution of their Black population share from 1950 through 1990. We use the resulting classifications to compare the dynamics of median home values and rents for census tracts with rapid racial change, tracts with gradual racial turnover, tracts with a stable high Black population share, and tracts with a stable low Black population share. Our results imply that Black households that bought homes in neighborhoods with rapid racial change were likely to have lost money or barely broken even by 1990.

  7. F

    Residential Property Prices for Japan

    • fred.stlouisfed.org
    json
    Updated Jun 26, 2025
    + more versions
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    (2025). Residential Property Prices for Japan [Dataset]. https://fred.stlouisfed.org/series/QJPN628BIS
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    jsonAvailable download formats
    Dataset updated
    Jun 26, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Area covered
    Japan
    Description

    Graph and download economic data for Residential Property Prices for Japan (QJPN628BIS) from Q1 1955 to Q4 2024 about Japan, residential, HPI, housing, price index, indexes, and price.

  8. F

    All-Transactions House Price Index for Utah

    • fred.stlouisfed.org
    json
    Updated May 27, 2025
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    (2025). All-Transactions House Price Index for Utah [Dataset]. https://fred.stlouisfed.org/series/UTSTHPI
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    jsonAvailable download formats
    Dataset updated
    May 27, 2025
    License

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

    Area covered
    Utah
    Description

    Graph and download economic data for All-Transactions House Price Index for Utah (UTSTHPI) from Q1 1975 to Q1 2025 about UT, appraisers, HPI, housing, price index, indexes, price, and USA.

  9. F

    All-Transactions House Price Index for the United States

    • fred.stlouisfed.org
    json
    Updated May 27, 2025
    + more versions
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    (2025). All-Transactions House Price Index for the United States [Dataset]. https://fred.stlouisfed.org/series/USSTHPI
    Explore at:
    jsonAvailable download formats
    Dataset updated
    May 27, 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 All-Transactions House Price Index for the United States (USSTHPI) from Q1 1975 to Q1 2025 about appraisers, HPI, housing, price index, indexes, price, and USA.

  10. F

    All-Transactions House Price Index for Detroit-Dearborn-Livonia, MI (MSAD)

    • fred.stlouisfed.org
    json
    Updated May 27, 2025
    + more versions
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    (2025). All-Transactions House Price Index for Detroit-Dearborn-Livonia, MI (MSAD) [Dataset]. https://fred.stlouisfed.org/series/ATNHPIUS19804Q
    Explore at:
    jsonAvailable download formats
    Dataset updated
    May 27, 2025
    License

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

    Area covered
    Michigan, Detroit, Dearborn, Livonia
    Description

    Graph and download economic data for All-Transactions House Price Index for Detroit-Dearborn-Livonia, MI (MSAD) (ATNHPIUS19804Q) from Q2 1976 to Q1 2025 about Detroit, MI, appraisers, HPI, housing, price index, indexes, price, and USA.

  11. Average value of U.S. farm real estate per acre 1970-2024

    • statista.com
    • ai-chatbox.pro
    Updated Sep 16, 2024
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    Statista (2024). Average value of U.S. farm real estate per acre 1970-2024 [Dataset]. https://www.statista.com/statistics/196400/average-value-of-us-farmland-real-estate-per-acre-since-1970/
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    Dataset updated
    Sep 16, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2024, the average value of U.S. farm real estate was 4,170 U.S. dollars per acre. Compared to one decade earlier, the value has increased by almost 40 percent. Generally, the value of U.S. farm real estate has had an upward trend since 1970. U.S. farms The number of farms in the United States has conversely been decreasing each year, reaching about two million farms as of 2022. That year, Texas had the most farms out of any other U.S. state by far, with about 246,000 farms. Missouri and Iowa had the second and third most farms, though neither state exceeded 100,000 farms. Agricultural trade Agricultural products encompass any products from agricultural origin that are meant for human consumption or animal feed. Agricultural products can include livestock products or crops. In 2022, the U.S. exported about 196.4 billion U.S. dollars’ worth of agricultural goods worldwide, increasing from the previous several years. Mexico is a key destination for U.S. agricultural products and imported just over 28 billion dollars’ worth in 2022, more than Europe and Eurasia combined.

  12. o

    1950 Cross Street Data in Farmington, UT

    • ownerly.com
    Updated Jan 17, 2022
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    Ownerly (2022). 1950 Cross Street Data in Farmington, UT [Dataset]. https://www.ownerly.com/ut/farmington/1950-home-details
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    Dataset updated
    Jan 17, 2022
    Dataset authored and provided by
    Ownerly
    Area covered
    Farmington, Utah
    Description

    This dataset provides information about the number of properties, residents, and average property values for 1950 cross streets in Farmington, UT.

  13. o

    1950 Cross Street Data in Lehi, UT

    • ownerly.com
    Updated Dec 15, 2021
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    Ownerly (2021). 1950 Cross Street Data in Lehi, UT [Dataset]. https://www.ownerly.com/ut/lehi/1950-home-details
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    Dataset updated
    Dec 15, 2021
    Dataset authored and provided by
    Ownerly
    Area covered
    Lehi, Utah
    Description

    This dataset provides information about the number of properties, residents, and average property values for 1950 cross streets in Lehi, UT.

  14. g

    Staatlich gelenkte Wohnungsversorgung in der Bundesrepublik Deutschland 1950...

    • search.gesis.org
    • pollux-fid.de
    • +1more
    Updated May 11, 2011
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    Dorhöfer, Kerstin (2011). Staatlich gelenkte Wohnungsversorgung in der Bundesrepublik Deutschland 1950 bis 1975 [Dataset]. http://doi.org/10.4232/1.10412
    Explore at:
    (103557)Available download formats
    Dataset updated
    May 11, 2011
    Dataset provided by
    GESIS search
    GESIS Data Archive
    Authors
    Dorhöfer, Kerstin
    License

    https://www.gesis.org/en/institute/data-usage-termshttps://www.gesis.org/en/institute/data-usage-terms

    Time period covered
    1950 - 1975
    Area covered
    Germany
    Description

    The present study deals with a special part of sectorial planning: provision of housing. The provision of housing in the Federal Republic of Germany (BRD) is divided in three different areas. Those areas are: Construction and housing industry, the social structure of the inhabitants and the physical structure of housing and housing estates. Governmental intervention measures mainly address those three areas: they try to regulate the housing provision and the rental prices through financial subsidies, the social distribution of housing through definition of target groups and the housing standards through urban planning and technical guidelines. Therefor the scientific investigation of housing provision needs to be about economic, sociological and urban and architectural aspects and needs to relate those aspects. The study of Kerstin Dornhöfer uses an integrated approach of the investigation of housing provision looking at those three aspects. The objective of the study is to develop criteria for the evaluation, planning and implementation of measures for housing provision. “The state controlled housing provision has its origin in the historical development before the Second World War. Besides the material basis of housing provision in the BRD also knowledge about and experiences with comprehensive steering instruments and its effectiveness resulted from the historical development of housing supply and its state controlled steering. This raises the question to what extent this knowledge and experiences had an impact on governmental policies concerning housing provision in the BRD. The description and analysis of the investigation is based on the following guiding questions: - Which steering instruments the BRD uses to achieve higher effectiveness concerning the socio-political postulate of improving the housing circumstances for the broad masses of people? - Could the dependence of housing provision and is governmental steering on the development of the total capital and on landed property , construction and housing construction capital be eliminated or at least gradually controlled? - What was the impact of governmental steering in the BRD? - How did it come to the current discrepancies in spite of all reform efforts and directing interventions? - What conditions were problematic for the improvement of housing circumstances for the broad masses of people? What are the relevant determinants for housing provision?

    The first part of this study deals with the description of housing provision for broad masses of people since the foundation of the BRD. This time is divided into four periods; each period begins with an important change in laws that indicated a change in in the governmental steering and transformations of economic and social circumstances. The description of the different periods helps to see the governmental steering instruments and its effectiveness regarding the historical circumstances. In the second part of the study the governmental objectives and steering instruments will be questioned and the circumstances of implementation will be identified based in three criteria. Those criteria are: (1) Housing standards and housing quality; (2) rental price (income-rent ratio); (3) Social distribution (broad masses of people as the target group of governmental steering). The question behind this is; if the thesis, which resulted from the historical development of housing provision before the Second World War, that governmental steering only takes place when the economic circumstances require and allow the public intervention and when public pressure forces governmental intervention, is also valid for the BRD.” (Dorhöfer, K., a. a. O., S. 11-13).

    Data tables in HISTAT: A. Federal Republic of Germany A.01 Development of population, housing stock and occupation density, BRD and West-Berlin (1950-1975) A.02 Ratio of housing stock and private households by size (1950-1974) A.03 Housing completions in the Federal Republic of Germany (1950-1975) A.04 Financing of housing construction in the Federal Republic of Germany, in percent (1950-1975) A.05 Building owners of housing in the Federal Republic of Germany, in percent (1950-1975) A.06 Price indices for residential buildings, cost of living, land without buildings and rents (1950-1975) A.07 Average monthly expenditures per four person worker-household with average income (1950-1975) A.08 Total cost of an apartment in social housing and average land prices in DM (...

  15. d

    Officially controlled housing supply in the Federal Republic of Germany,...

    • da-ra.de
    Updated May 11, 2011
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    Kerstin Dorhöfer (2011). Officially controlled housing supply in the Federal Republic of Germany, 1950 to 1975. [Dataset]. http://doi.org/10.4232/1.10412
    Explore at:
    Dataset updated
    May 11, 2011
    Dataset provided by
    da|ra
    GESIS Data Archive
    Authors
    Kerstin Dorhöfer
    Time period covered
    1950 - 1975
    Area covered
    Germany
    Description

    The present study deals with a special part of sectorial planning: provision of housing. The provision of housing in the Federal Republic of Germany (BRD) is divided in three different areas. Those areas are: Construction and housing industry, the social structure of the inhabitants and the physical structure of housing and housing estates. Governmental intervention measures mainly address those three areas: they try to regulate the housing provision and the rental prices through financial subsidies, the social distribution of housing through definition of target groups and the housing standards through urban planning and technical guidelines. Therefor the scientific investigation of housing provision needs to be about economic, sociological and urban and architectural aspects and needs to relate those aspects. The study of Kerstin Dornhöfer uses an integrated approach of the investigation of housing provision looking at those three aspects. The objective of the study is to develop criteria for the evaluation, planning and implementation of measures for housing provision. “The state controlled housing provision has its origin in the historical development before the Second World War. Besides the material basis of housing provision in the BRD also knowledge about and experiences with comprehensive steering instruments and its effectiveness resulted from the historical development of housing supply and its state controlled steering. This raises the question to what extent this knowledge and experiences had an impact on governmental policies concerning housing provision in the BRD. The description and analysis of the investigation is based on the following guiding questions:- Which steering instruments the BRD uses to achieve higher effectiveness concerning the socio-political postulate of improving the housing circumstances for the broad masses of people?- Could the dependence of housing provision and is governmental steering on the development of the total capital and on landed property , construction and housing construction capital be eliminated or at least gradually controlled?- What was the impact of governmental steering in the BRD?- How did it come to the current discrepancies in spite of all reform efforts and directing interventions?- What conditions were problematic for the improvement of housing circumstances for the broad masses of people? What are the relevant determinants for housing provision? The first part of this study deals with the description of housing provision for broad masses of people since the foundation of the BRD. This time is divided into four periods; each period begins with an important change in laws that indicated a change in in the governmental steering and transformations of economic and social circumstances. The description of the different periods helps to see the governmental steering instruments and its effectiveness regarding the historical circumstances. In the second part of the study the governmental objectives and steering instruments will be questioned and the circumstances of implementation will be identified based in three criteria. Those criteria are: (1) Housing standards and housing quality; (2) rental price (income-rent ratio); (3) Social distribution (broad masses of people as the target group of governmental steering). The question behind this is; if the thesis, which resulted from the historical development of housing provision before the Second World War, that governmental steering only takes place when the economic circumstances require and allow the public intervention and when public pressure forces governmental intervention, is also valid for the BRD.” (Dorhöfer, K., a. a. O., S. 11-13). Data tables in HISTAT:A. Federal Republic of Germany A.01 Development of population, housing stock and occupation density, BRD and West-Berlin (1950-1975)A.02 Ratio of housing stock and private households by size (1950-1974)A.03 Housing completions in the Federal Republic of Germany (1950-1975)A.04 Financing of housing construction in the Federal Republic of Germany, in percent (1950-1975)A.05 Building owners of housing in the Federal Republic of Germany, in percent (1950-1975)A.06 Price indices for residential buildings, cost of living, land without buildings and rents (1950-1975)A.07 Average monthly expenditures per four person worker-household with average income (1950-1975)A.08 Total cost of an apartment in social housing and average land prices in DM (1950-1975)A.09 Average living area, number of rooms per apartment, equipped with central heating system and bathroom in the BRD (1952-1975)A.10 Proportion of apartments per number of rooms per apartment in the Federal Republic of Germany (1952-1973)A.11 Construction activity of non-profit housing companies (1951-1975)A.12 Number of non-profit housing companies and number of members of housing cooperatives (1950-1975)A.13 Housing stock of the nonprofit housing companies and monthly rent (1951-1975) B. West- Berl...

  16. o

    1950 Cross Street Data in Saint George, UT

    • ownerly.com
    Updated Dec 9, 2021
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    Ownerly (2021). 1950 Cross Street Data in Saint George, UT [Dataset]. https://www.ownerly.com/ut/saint-george/1950-home-details
    Explore at:
    Dataset updated
    Dec 9, 2021
    Dataset authored and provided by
    Ownerly
    Area covered
    St. George, Utah
    Description

    This dataset provides information about the number of properties, residents, and average property values for 1950 cross streets in Saint George, UT.

  17. o

    1950 Cross Street Data in Vernal, UT

    • ownerly.com
    Updated Dec 9, 2021
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    Ownerly (2021). 1950 Cross Street Data in Vernal, UT [Dataset]. https://www.ownerly.com/ut/vernal/1950-home-details
    Explore at:
    Dataset updated
    Dec 9, 2021
    Dataset authored and provided by
    Ownerly
    Area covered
    Vernal, Vernal, UT, Utah
    Description

    This dataset provides information about the number of properties, residents, and average property values for 1950 cross streets in Vernal, UT.

  18. F

    All-Transactions House Price Index for Boulder, CO (MSA)

    • fred.stlouisfed.org
    json
    Updated May 27, 2025
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    (2025). All-Transactions House Price Index for Boulder, CO (MSA) [Dataset]. https://fred.stlouisfed.org/series/ATNHPIUS14500Q
    Explore at:
    jsonAvailable download formats
    Dataset updated
    May 27, 2025
    License

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

    Area covered
    Boulder, Colorado
    Description

    Graph and download economic data for All-Transactions House Price Index for Boulder, CO (MSA) (ATNHPIUS14500Q) from Q1 1978 to Q1 2025 about Boulder, CO, appraisers, HPI, housing, price index, indexes, price, and USA.

  19. o

    1950 Cross Street Data in Tooele, UT

    • ownerly.com
    Updated Sep 1, 2022
    + more versions
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    Ownerly (2022). 1950 Cross Street Data in Tooele, UT [Dataset]. https://www.ownerly.com/ut/tooele/1950-home-details
    Explore at:
    Dataset updated
    Sep 1, 2022
    Dataset authored and provided by
    Ownerly
    Area covered
    Tooele, Utah
    Description

    This dataset provides information about the number of properties, residents, and average property values for 1950 cross streets in Tooele, UT.

  20. F

    Real Residential Property Prices for Canada

    • fred.stlouisfed.org
    json
    Updated Jun 26, 2025
    + more versions
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    (2025). Real Residential Property Prices for Canada [Dataset]. https://fred.stlouisfed.org/series/QCAR628BIS
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jun 26, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Area covered
    Canada
    Description

    Graph and download economic data for Real Residential Property Prices for Canada (QCAR628BIS) from Q1 1970 to Q1 2025 about Canada, residential, HPI, housing, real, price index, indexes, and price.

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(2025). Average Sales Price of Houses Sold for the United States [Dataset]. https://fred.stlouisfed.org/series/ASPUS

Average Sales Price of Houses Sold for the United States

ASPUS

Explore at:
35 scholarly articles cite this dataset (View in Google Scholar)
jsonAvailable download formats
Dataset updated
Apr 23, 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 Average Sales Price of Houses Sold for the United States (ASPUS) from Q1 1963 to Q1 2025 about sales, housing, and USA.

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