38 datasets found
  1. All-Transactions House Price Index for Connecticut

    • data.ct.gov
    • fred.stlouisfed.org
    • +1more
    application/rdfxml +5
    Updated Jul 13, 2025
    + more versions
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    U.S. Federal Housing Finance Agency and Federal Reserve Bank of St. Louis (2025). All-Transactions House Price Index for Connecticut [Dataset]. https://data.ct.gov/w/kf98-j89e/wqz6-rhce?cur=dvDouNc2GCt
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    application/rssxml, json, csv, xml, tsv, application/rdfxmlAvailable download formats
    Dataset updated
    Jul 13, 2025
    Dataset provided by
    Federal Reserve Bank Of St. Louishttps://www.stlouisfed.org/
    Federal Housing Finance Agencyhttps://www.fhfa.gov/
    Authors
    U.S. Federal Housing Finance Agency and Federal Reserve Bank of St. Louis
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Area covered
    Connecticut
    Description

    The FHFA House Price Index (FHFA HPI®) is the nation’s only collection of public, freely available house price indexes that measure changes in single-family home values based on data from all 50 states and over 400 American cities that extend back to the mid-1970s. The FHFA HPI incorporates tens of millions of home sales and offers insights about house price fluctuations at the national, census division, state, metro area, county, ZIP code, and census tract levels. FHFA uses a fully transparent methodology based upon a weighted, repeat-sales statistical technique to analyze house price transaction data. ​ What does the FHFA HPI represent? The FHFA HPI is a broad measure of the movement of single-family house prices. The FHFA HPI is a weighted, repeat-sales index, meaning that it measures average price changes in repeat sales or refinancings on the same properties. This information is obtained by reviewing repeat mortgage transactions on single-family properties whose mortgages have been purchased or securitized by Fannie Mae or Freddie Mac since January 1975.

    The FHFA HPI serves as a timely, accurate indicator of house price trends at various geographic levels. Because of the breadth of the sample, it provides more information than is available in other house price indexes. It also provides housing economists with an improved analytical tool that is useful for estimating changes in the rates of mortgage defaults, prepayments and housing affordability in specific geographic areas.

    U.S. Federal Housing Finance Agency, All-Transactions House Price Index for Connecticut [CTSTHPI], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/CTSTHPI, August 2, 2023.

  2. Vital Signs: Home Prices – by zip code

    • data.bayareametro.gov
    application/rdfxml +5
    Updated Aug 21, 2019
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    Zillow (2019). Vital Signs: Home Prices – by zip code [Dataset]. https://data.bayareametro.gov/dataset/Vital-Signs-Home-Prices-by-zip-code/8xer-7dm5
    Explore at:
    application/rssxml, csv, tsv, json, xml, application/rdfxmlAvailable download formats
    Dataset updated
    Aug 21, 2019
    Dataset authored and provided by
    Zillowhttp://zillow.com/
    Description

    VITAL SIGNS INDICATOR Home Prices (EC7)

    FULL MEASURE NAME Home Prices

    LAST UPDATED August 2019

    DESCRIPTION Home prices refer to the cost of purchasing one’s own house or condominium. While a significant share of residents may choose to rent, home prices represent a primary driver of housing affordability in a given region, county or city.

    DATA SOURCE Zillow Median Sale Price (1997-2018) http://www.zillow.com/research/data/

    Bureau of Labor Statistics: Consumer Price Index All Urban Consumers Data Table (1997-2018; specific to each metro area) http://data.bls.gov

    CONTACT INFORMATION vitalsigns.info@bayareametro.gov

    METHODOLOGY NOTES (across all datasets for this indicator) Median housing price estimates for the region, counties, cities, and zip code come from analysis of individual home sales by Zillow. The median sale price is the price separating the higher half of the sales from the lower half. In other words, 50 percent of home sales are below or above the median value. Zillow defines all homes as single-family residential, condominium, and co-operative homes with a county record. Single-family residences are detached, which means the home is an individual structure with its own lot. Condominiums are units that you own in a multi-unit complex, such as an apartment building. Co-operative homes are slightly different from condominiums where the homeowners own shares in the corporation that owns the building, not the actual units themselves.

    For metropolitan area comparison values, the Bay Area metro area’s median home sale price is the population-weighted average of the nine counties’ median home prices. Home sales prices are not reliably available for Houston, because Texas is a non-disclosure state. For more information on non-disclosure states, see: http://www.zillow.com/blog/chronicles-of-data-collection-ii-non-disclosure-states-3783/

    Inflation-adjusted data are presented to illustrate how home prices 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.

  3. F

    S&P CoreLogic Case-Shiller TX-Dallas Home Price Index

    • fred.stlouisfed.org
    json
    Updated Jun 24, 2025
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    (2025). S&P CoreLogic Case-Shiller TX-Dallas Home Price Index [Dataset]. https://fred.stlouisfed.org/series/DAXRNSA
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jun 24, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-pre-approvalhttps://fred.stlouisfed.org/legal/#copyright-pre-approval

    Area covered
    Texas, Dallas
    Description

    Graph and download economic data for S&P CoreLogic Case-Shiller TX-Dallas Home Price Index (DAXRNSA) from Jan 2000 to Apr 2025 about Dallas, HPI, TX, housing, price index, indexes, price, and USA.

  4. Highest median prices of residential real estate in the U.S. 2023, by zip...

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). Highest median prices of residential real estate in the U.S. 2023, by zip code [Dataset]. https://www.statista.com/statistics/1279222/median-price-of-residential-properties-us-by-zip-code/
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    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2023 - Oct 2023
    Area covered
    United States
    Description

    The median house price in *****, Atherton, California, was about *** million U.S. dollars. This made it the most expensive zip code in the United States in 2023. ***** Sagaponack, N.Y., was the runner-up with a median house price of about *** million U.S. dollars. Of the ** most expensive zip codes in the United States in 2026, six were in California.

  5. F

    All-Transactions House Price Index for North Carolina

    • fred.stlouisfed.org
    json
    Updated May 27, 2025
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    (2025). All-Transactions House Price Index for North Carolina [Dataset]. https://fred.stlouisfed.org/series/NCSTHPI
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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
    North Carolina
    Description

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

  6. F

    S&P CoreLogic Case-Shiller IL-Chicago Home Price Index

    • fred.stlouisfed.org
    json
    Updated Jun 24, 2025
    + more versions
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    (2025). S&P CoreLogic Case-Shiller IL-Chicago Home Price Index [Dataset]. https://fred.stlouisfed.org/series/CHXRSA
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jun 24, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-pre-approvalhttps://fred.stlouisfed.org/legal/#copyright-pre-approval

    Area covered
    Illinois, Chicago
    Description

    Graph and download economic data for S&P CoreLogic Case-Shiller IL-Chicago Home Price Index (CHXRSA) from Jan 1987 to Apr 2025 about Chicago, IL, IN, WI, HPI, housing, price index, indexes, price, and USA.

  7. Largest median price changes of residential real estate in the U.S. 2023, by...

    • statista.com
    Updated Jul 11, 2025
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    Statista (2025). Largest median price changes of residential real estate in the U.S. 2023, by zip code [Dataset]. https://www.statista.com/statistics/1279119/median-price-changes-of-residential-properties-us-by-zip-code/
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    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2023 - Oct 2023
    Area covered
    United States
    Description

    In 2023, Sagaponack, NY (zip code *****) was the zip code that witnessed the highest luxury house price increase in the United States. Year-on-year, prices in that zip code increased by ** percent. Ross, CA (zip code *****) stood at the other end of the scale, with a decline of ** percent.

  8. FHFA House Price Index

    • openicpsr.org
    Updated Feb 21, 2025
    + more versions
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    FHFA Housing (2025). FHFA House Price Index [Dataset]. http://doi.org/10.3886/E220325V1
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    Dataset updated
    Feb 21, 2025
    Dataset provided by
    Federal Housing Finance Agencyhttps://www.fhfa.gov/
    Authors
    FHFA Housing
    License

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

    Description

    FHFA House Price IndexThe FHFA House Price Index (FHFA HPI®) is a comprehensive​ collection of publicly available house price indexes that measure changes in single-family home values based on data that extend back to the mid-1970s from all 50 states and over 400 American cities. The FHFA HPI incorporates tens of millions of home sales and offers insights about house price fluctuations at the national, census division, state, metro area, county, ZIP code, and census tract levels. FHFA uses a fully transparent methodology based upon a weighted, repeat-sales statistical technique to analyze house price transaction data.What does the FHFA HPI represent?The FHFA HPI is a broad measure of the movement of single-family house prices. The FHFA HPI is a weighted, repeat-sales index, meaning that it measures average price changes in repeat sales or refinancings on the same properties. This information is obtained by reviewing repeat mortgage transactions on single-family properties whose mortgages have been purchased or securitized by Fannie Mae or Freddie Mac since January 1975.The FHFA HPI serves as a timely, accurate indicator of house price trends at various geographic levels. Because of the breadth of the sample, it provides more information than is available in other house price indexes. It also provides housing economists with an improved analytical tool that is useful for estimating changes in the rates of mortgage defaults, prepayments and housing affordability in specific geographic areas.

  9. Vital Signs: Home Prices – by metro

    • data.bayareametro.gov
    application/rdfxml +5
    Updated Sep 24, 2019
    + more versions
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    Zillow (2019). Vital Signs: Home Prices – by metro [Dataset]. https://data.bayareametro.gov/dataset/Vital-Signs-Home-Prices-by-metro/7ksc-i6kn
    Explore at:
    application/rssxml, xml, csv, tsv, json, application/rdfxmlAvailable download formats
    Dataset updated
    Sep 24, 2019
    Dataset authored and provided by
    Zillowhttp://zillow.com/
    Description

    VITAL SIGNS INDICATOR Home Prices (EC7)

    FULL MEASURE NAME Home Prices

    LAST UPDATED August 2019

    DESCRIPTION Home prices refer to the cost of purchasing one’s own house or condominium. While a significant share of residents may choose to rent, home prices represent a primary driver of housing affordability in a given region, county or city.

    DATA SOURCE Zillow Median Sale Price (1997-2018) http://www.zillow.com/research/data/

    Bureau of Labor Statistics: Consumer Price Index All Urban Consumers Data Table (1997-2018; specific to each metro area) http://data.bls.gov

    CONTACT INFORMATION vitalsigns.info@bayareametro.gov

    METHODOLOGY NOTES (across all datasets for this indicator) Median housing price estimates for the region, counties, cities, and zip code come from analysis of individual home sales by Zillow. The median sale price is the price separating the higher half of the sales from the lower half. In other words, 50 percent of home sales are below or above the median value. Zillow defines all homes as single-family residential, condominium, and co-operative homes with a county record. Single-family residences are detached, which means the home is an individual structure with its own lot. Condominiums are units that you own in a multi-unit complex, such as an apartment building. Co-operative homes are slightly different from condominiums where the homeowners own shares in the corporation that owns the building, not the actual units themselves.

    For metropolitan area comparison values, the Bay Area metro area’s median home sale price is the population-weighted average of the nine counties’ median home prices. Home sales prices are not reliably available for Houston, because Texas is a non-disclosure state. For more information on non-disclosure states, see: http://www.zillow.com/blog/chronicles-of-data-collection-ii-non-disclosure-states-3783/

    Inflation-adjusted data are presented to illustrate how home prices 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.

  10. T

    Vital Signs: Home Prices by Zip Code (2022)

    • data.bayareametro.gov
    application/rdfxml +5
    Updated Oct 26, 2022
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    (2022). Vital Signs: Home Prices by Zip Code (2022) [Dataset]. https://data.bayareametro.gov/Economy/Vital-Signs-Home-Prices-by-Zip-Code-2022-/t839-7cab
    Explore at:
    csv, application/rdfxml, tsv, xml, application/rssxml, jsonAvailable download formats
    Dataset updated
    Oct 26, 2022
    Description

    VITAL SIGNS INDICATOR
    Home Prices (EC7)

    FULL MEASURE NAME
    Home Prices

    LAST UPDATED
    December 2022

    DESCRIPTION
    Home prices refer to the cost of purchasing one’s own house or condominium. While a significant share of residents may choose to rent, home prices represent a primary driver of housing affordability in a given region, county or city.

    DATA SOURCE
    Zillow: Zillow Home Value Index (ZHVI) - http://www.zillow.com/research/data/
    2000-2021

    California Department of Finance: E-4 Historical Population Estimates for Cities, Counties, and the State - https://dof.ca.gov/forecasting/demographics/estimates/
    2000-2021

    US Census Population and Housing Unit Estimates - https://www.census.gov/programs-surveys/popest.html
    2000-2021

    Bureau of Labor Statistics: Consumer Price Index - http://data.bls.gov
    2000-2021

    US Census ZIP Code Tabulation Areas (ZCTAs) - https://www.census.gov/programs-surveys/geography/guidance/geo-areas/zctas.html
    2020 Census Blocks

    CONTACT INFORMATION
    vitalsigns.info@bayareametro.gov

    METHODOLOGY NOTES (across all datasets for this indicator)
    Housing price estimates at the regional-, county-, city- and zip code-level come from analysis of individual home sales by Zillow based upon transaction records. Zillow Home Value Index (ZHVI) is a smoothed, seasonally adjusted measure of the typical home value and market changes across a given region and housing type. It reflects the typical value for homes in the 35th to 65th percentile range. ZHVI is computed from public record transaction data as reported by counties. All standard real estate transactions are included in this metric, including REO sales and auctions. Zillow makes a substantial effort to remove transactions not typically considered a standard sale. Examples of these include bank takeovers of foreclosed properties, title transfers after a death or divorce and non arms-length transactions. Zillow defines all homes as single-family residential, condominium and co-operative homes with a county record. Single-family residences are detached, which means the home is an individual structure with its own lot. Condominiums are units that can be owned in a multi-unit complex, such as an apartment building. Co-operative homes are slightly different from condominiums in that the homeowners own shares in the corporation that owns the building, not the actual units themselves.

    For metropolitan area comparison values, the Bay Area metro area’s median home sale price is the population-weighted average of the nine counties’ median home prices. Data is adjusted for inflation using Bureau of Labor Statistics metropolitan statistical area (MSA)-specific series. Inflation-adjusted data are presented to illustrate how home prices 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 the CPI itself.

  11. Highest median prices of residential real estate in California 2023, by zip...

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Highest median prices of residential real estate in California 2023, by zip code [Dataset]. https://www.statista.com/statistics/1279238/median-price-of-residential-properties-san-francisco-by-zip-code/
    Explore at:
    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2023 - Oct 2023
    Area covered
    California, United States
    Description

    The median house prices in the most expensive zip codes in California reached as high as *** million U.S dollars. Atherton (94027), had the most expensive median house price, followed by Santa Barbara (93108), and Beverly Hills (90210). Six of the ranked zip codes were among the top ten most expensive zip codes in the United States in 2023.

  12. Vital Signs: Home Prices – Bay Area

    • data.bayareametro.gov
    application/rdfxml +5
    Updated Aug 21, 2019
    + more versions
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    Zillow (2019). Vital Signs: Home Prices – Bay Area [Dataset]. https://data.bayareametro.gov/dataset/Vital-Signs-Home-Prices-Bay-Area/vnvp-ma92
    Explore at:
    application/rssxml, csv, tsv, json, application/rdfxml, xmlAvailable download formats
    Dataset updated
    Aug 21, 2019
    Dataset authored and provided by
    Zillowhttp://zillow.com/
    Area covered
    San Francisco Bay Area
    Description

    VITAL SIGNS INDICATOR Home Prices (EC7)

    FULL MEASURE NAME Home Prices

    LAST UPDATED August 2019

    DESCRIPTION Home prices refer to the cost of purchasing one’s own house or condominium. While a significant share of residents may choose to rent, home prices represent a primary driver of housing affordability in a given region, county or city.

    DATA SOURCE Zillow Median Sale Price (1997-2018) http://www.zillow.com/research/data/

    Bureau of Labor Statistics: Consumer Price Index All Urban Consumers Data Table (1997-2018; specific to each metro area) http://data.bls.gov

    CONTACT INFORMATION vitalsigns.info@bayareametro.gov

    METHODOLOGY NOTES (across all datasets for this indicator) Median housing price estimates for the region, counties, cities, and zip code come from analysis of individual home sales by Zillow. The median sale price is the price separating the higher half of the sales from the lower half. In other words, 50 percent of home sales are below or above the median value. Zillow defines all homes as single-family residential, condominium, and co-operative homes with a county record. Single-family residences are detached, which means the home is an individual structure with its own lot. Condominiums are units that you own in a multi-unit complex, such as an apartment building. Co-operative homes are slightly different from condominiums where the homeowners own shares in the corporation that owns the building, not the actual units themselves.

    For metropolitan area comparison values, the Bay Area metro area’s median home sale price is the population-weighted average of the nine counties’ median home prices. Home sales prices are not reliably available for Houston, because Texas is a non-disclosure state. For more information on non-disclosure states, see: http://www.zillow.com/blog/chronicles-of-data-collection-ii-non-disclosure-states-3783/

    Inflation-adjusted data are presented to illustrate how home prices 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.

  13. F

    S&P CoreLogic Case-Shiller NY-New York Home Price Index

    • fred.stlouisfed.org
    json
    Updated Jun 24, 2025
    + more versions
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    (2025). S&P CoreLogic Case-Shiller NY-New York Home Price Index [Dataset]. https://fred.stlouisfed.org/series/NYXRSA
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jun 24, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-pre-approvalhttps://fred.stlouisfed.org/legal/#copyright-pre-approval

    Area covered
    New York, New York
    Description

    Graph and download economic data for S&P CoreLogic Case-Shiller NY-New York Home Price Index (NYXRSA) from Jan 1987 to Apr 2025 about New York, NY, HPI, housing, price index, indexes, price, and USA.

  14. Highest median prices of residential real estate in New England 2023, by zip...

    • statista.com
    Updated Jul 11, 2025
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    Highest median prices of residential real estate in New England 2023, by zip code [Dataset]. https://www.statista.com/statistics/1279310/median-price-of-residential-properties-new-england-by-zip-code-usa/
    Explore at:
    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2023 - Oct 2023
    Area covered
    United States
    Description

    The median house prices in the most expensive zip codes in New England, United States ranged from *** to *** million U.S. dollars. Boston (zip code 02199) was the most expensive in New England with a median house price of *** million U.S. dollars. Nevertheless, that was more affordable than in the ten zip codes with the highest median house price in the entire United States.

  15. T

    Vital Signs: Home Prices by Metro Area (2022)

    • data.bayareametro.gov
    application/rdfxml +5
    Updated Dec 2, 2022
    + more versions
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    (2022). Vital Signs: Home Prices by Metro Area (2022) [Dataset]. https://data.bayareametro.gov/Economy/Vital-Signs-Home-Prices-by-Metro-Area-2022-/rgc5-3kcq
    Explore at:
    application/rdfxml, csv, json, application/rssxml, tsv, xmlAvailable download formats
    Dataset updated
    Dec 2, 2022
    Description

    VITAL SIGNS INDICATOR
    Home Prices (EC7)

    FULL MEASURE NAME
    Home Prices

    LAST UPDATED
    December 2022

    DESCRIPTION
    Home prices refer to the cost of purchasing one’s own house or condominium. While a significant share of residents may choose to rent, home prices represent a primary driver of housing affordability in a given region, county or city.

    DATA SOURCE
    Zillow: Zillow Home Value Index (ZHVI) - http://www.zillow.com/research/data/
    2000-2021

    California Department of Finance: E-4 Historical Population Estimates for Cities, Counties, and the State - https://dof.ca.gov/forecasting/demographics/estimates/
    2000-2021

    US Census Population and Housing Unit Estimates - https://www.census.gov/programs-surveys/popest.html
    2000-2021

    Bureau of Labor Statistics: Consumer Price Index - http://data.bls.gov
    2000-2021

    US Census ZIP Code Tabulation Areas (ZCTAs) - https://www.census.gov/programs-surveys/geography/guidance/geo-areas/zctas.html
    2020 Census Blocks

    CONTACT INFORMATION
    vitalsigns.info@bayareametro.gov

    METHODOLOGY NOTES (across all datasets for this indicator)
    Housing price estimates at the regional-, county-, city- and zip code-level come from analysis of individual home sales by Zillow based upon transaction records. Zillow Home Value Index (ZHVI) is a smoothed, seasonally adjusted measure of the typical home value and market changes across a given region and housing type. It reflects the typical value for homes in the 35th to 65th percentile range. ZHVI is computed from public record transaction data as reported by counties. All standard real estate transactions are included in this metric, including REO sales and auctions. Zillow makes a substantial effort to remove transactions not typically considered a standard sale. Examples of these include bank takeovers of foreclosed properties, title transfers after a death or divorce and non arms-length transactions. Zillow defines all homes as single-family residential, condominium and co-operative homes with a county record. Single-family residences are detached, which means the home is an individual structure with its own lot. Condominiums are units that can be owned in a multi-unit complex, such as an apartment building. Co-operative homes are slightly different from condominiums in that the homeowners own shares in the corporation that owns the building, not the actual units themselves.

    For metropolitan area comparison values, the Bay Area metro area’s median home sale price is the population-weighted average of the nine counties’ median home prices. Data is adjusted for inflation using Bureau of Labor Statistics metropolitan statistical area (MSA)-specific series. Inflation-adjusted data are presented to illustrate how home prices 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 the CPI itself.

  16. Median house prices by middle layer super output area: HPSSA dataset 2

    • ons.gov.uk
    • cy.ons.gov.uk
    zip
    Updated Sep 20, 2023
    + more versions
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    Office for National Statistics (2023). Median house prices by middle layer super output area: HPSSA dataset 2 [Dataset]. https://www.ons.gov.uk/peoplepopulationandcommunity/housing/datasets/hpssadataset2medianhousepricebymsoaquarterlyrollingyear
    Explore at:
    zipAvailable download formats
    Dataset updated
    Sep 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 price paid for residential property in England and Wales, by property type and middle layer super output area. Annual data.

  17. F

    All-Transactions House Price Index for Michigan

    • fred.stlouisfed.org
    json
    Updated May 27, 2025
    + more versions
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    (2025). All-Transactions House Price Index for Michigan [Dataset]. https://fred.stlouisfed.org/series/MISTHPI
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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
    Michigan
    Description

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

  18. F

    S&P CoreLogic Case-Shiller CA-Los Angeles Home Price Index

    • fred.stlouisfed.org
    json
    Updated May 27, 2025
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    (2025). S&P CoreLogic Case-Shiller CA-Los Angeles Home Price Index [Dataset]. https://fred.stlouisfed.org/series/LXXRSA
    Explore at:
    jsonAvailable download formats
    Dataset updated
    May 27, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-pre-approvalhttps://fred.stlouisfed.org/legal/#copyright-pre-approval

    Area covered
    Los Angeles, California
    Description

    Graph and download economic data for S&P CoreLogic Case-Shiller CA-Los Angeles Home Price Index (LXXRSA) from Jan 1987 to Mar 2025 about Los Angeles, CA, HPI, housing, price index, indexes, price, and USA.

  19. F

    S&P CoreLogic Case-Shiller WA-Seattle Home Price Index

    • fred.stlouisfed.org
    json
    Updated May 27, 2025
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    (2025). S&P CoreLogic Case-Shiller WA-Seattle Home Price Index [Dataset]. https://fred.stlouisfed.org/series/SEXRNSA
    Explore at:
    jsonAvailable download formats
    Dataset updated
    May 27, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-pre-approvalhttps://fred.stlouisfed.org/legal/#copyright-pre-approval

    Area covered
    Seattle
    Description

    Graph and download economic data for S&P CoreLogic Case-Shiller WA-Seattle Home Price Index (SEXRNSA) from Jan 1990 to Mar 2025 about Seattle, WA, HPI, housing, price index, indexes, price, and USA.

  20. F

    S&P CoreLogic Case-Shiller DC-Washington Home Price Index

    • fred.stlouisfed.org
    json
    Updated May 27, 2025
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    (2025). S&P CoreLogic Case-Shiller DC-Washington Home Price Index [Dataset]. https://fred.stlouisfed.org/series/WDXRSA
    Explore at:
    jsonAvailable download formats
    Dataset updated
    May 27, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-pre-approvalhttps://fred.stlouisfed.org/legal/#copyright-pre-approval

    Area covered
    Washington
    Description

    Graph and download economic data for S&P CoreLogic Case-Shiller DC-Washington Home Price Index (WDXRSA) from Jan 1987 to Mar 2025 about DC, Washington, MD, WV, VA, HPI, housing, price index, indexes, price, and USA.

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Close
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U.S. Federal Housing Finance Agency and Federal Reserve Bank of St. Louis (2025). All-Transactions House Price Index for Connecticut [Dataset]. https://data.ct.gov/w/kf98-j89e/wqz6-rhce?cur=dvDouNc2GCt
Organization logoOrganization logo

All-Transactions House Price Index for Connecticut

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2 scholarly articles cite this dataset (View in Google Scholar)
application/rssxml, json, csv, xml, tsv, application/rdfxmlAvailable download formats
Dataset updated
Jul 13, 2025
Dataset provided by
Federal Reserve Bank Of St. Louishttps://www.stlouisfed.org/
Federal Housing Finance Agencyhttps://www.fhfa.gov/
Authors
U.S. Federal Housing Finance Agency and Federal Reserve Bank of St. Louis
License

U.S. Government Workshttps://www.usa.gov/government-works
License information was derived automatically

Area covered
Connecticut
Description

The FHFA House Price Index (FHFA HPI®) is the nation’s only collection of public, freely available house price indexes that measure changes in single-family home values based on data from all 50 states and over 400 American cities that extend back to the mid-1970s. The FHFA HPI incorporates tens of millions of home sales and offers insights about house price fluctuations at the national, census division, state, metro area, county, ZIP code, and census tract levels. FHFA uses a fully transparent methodology based upon a weighted, repeat-sales statistical technique to analyze house price transaction data. ​ What does the FHFA HPI represent? The FHFA HPI is a broad measure of the movement of single-family house prices. The FHFA HPI is a weighted, repeat-sales index, meaning that it measures average price changes in repeat sales or refinancings on the same properties. This information is obtained by reviewing repeat mortgage transactions on single-family properties whose mortgages have been purchased or securitized by Fannie Mae or Freddie Mac since January 1975.

The FHFA HPI serves as a timely, accurate indicator of house price trends at various geographic levels. Because of the breadth of the sample, it provides more information than is available in other house price indexes. It also provides housing economists with an improved analytical tool that is useful for estimating changes in the rates of mortgage defaults, prepayments and housing affordability in specific geographic areas.

U.S. Federal Housing Finance Agency, All-Transactions House Price Index for Connecticut [CTSTHPI], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/CTSTHPI, August 2, 2023.

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