19 datasets found
  1. 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
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    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.

  2. F

    Average Sales Price of Houses Sold for the United States

    • fred.stlouisfed.org
    json
    Updated Jul 24, 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
    Jul 24, 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 Q2 2025 about sales, housing, and USA.

  3. 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.

  4. T

    Vital Signs: Home Prices by Metro Area (2022)

    • data.bayareametro.gov
    application/rdfxml +5
    Updated Dec 2, 2022
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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
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    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.

  5. F

    Housing Inventory: Median Listing Price per Square Feet in Ohio

    • fred.stlouisfed.org
    json
    Updated Jul 31, 2025
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    (2025). Housing Inventory: Median Listing Price per Square Feet in Ohio [Dataset]. https://fred.stlouisfed.org/series/MEDLISPRIPERSQUFEEOH
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 31, 2025
    License

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

    Area covered
    Ohio
    Description

    Graph and download economic data for Housing Inventory: Median Listing Price per Square Feet in Ohio (MEDLISPRIPERSQUFEEOH) from Jul 2016 to Jul 2025 about square feet, OH, listing, median, price, and USA.

  6. Average price per square foot in new single-family homes U.S. 2000-2024

    • statista.com
    Updated Mar 7, 2025
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    Statista (2025). Average price per square foot in new single-family homes U.S. 2000-2024 [Dataset]. https://www.statista.com/statistics/682549/average-price-per-square-foot-in-new-single-family-houses-usa/
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    Dataset updated
    Mar 7, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The average price per square foot of floor space in new single-family housing in the United States decreased after the great financial crisis, followed by several years of stagnation. Since 2012, the price has continuously risen, hitting ****** U.S. dollars per square foot in 2024. In 2024, the average sales price of a new home exceeded ******* U.S. dollars. Development of house sales in the U.S. One of the reasons for rising property prices is the gradual growth of house sales between 2011 and 2020. This period was marked by the gradual recovery following the subprime mortgage crisis and a growing housing sentiment. Another significant factor for the housing demand was the growing number of new household formations each year. Despite this trend, housing transactions plummeted in 2021, amid soaring prices and borrowing costs. In 2021, the average construction cost for single-family housing rose by nearly ** percent year-on-year, and in 2022, the increase was even higher, at close to ** percent. Financing a house purchase Mortgage interest rates in the U.S. rose dramatically in 2022 and remained elevated until 2024. In 2020, a homebuyer could lock in a 30-year fixed interest rate of under ***** percent, whereas in 2024, the average rate for the same mortgage type was more than twice higher. That has led to a decline in homebuyer sentiment, and an increasing share of the population pessimistic about buying a home in the current market.

  7. d

    All-Transactions House Price Index for Connecticut

    • catalog.data.gov
    • fred.stlouisfed.org
    • +1more
    Updated Aug 2, 2025
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    data.ct.gov (2025). All-Transactions House Price Index for Connecticut [Dataset]. https://catalog.data.gov/dataset/all-transactions-house-price-index-for-connecticut
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    Dataset updated
    Aug 2, 2025
    Dataset provided by
    data.ct.gov
    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.

  8. Annual home price appreciation in the U.S. 2025, by state

    • statista.com
    Updated Aug 11, 2025
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    Statista (2025). Annual home price appreciation in the U.S. 2025, by state [Dataset]. https://www.statista.com/statistics/1240802/annual-home-price-appreciation-by-state-usa/
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    Dataset updated
    Aug 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    House prices grew year-on-year in most states in the U.S. in the first quarter of 2025. Hawaii was the only exception, with a decline of **** percent. The annual appreciation for single-family housing in the U.S. was **** percent, while in Rhode Island—the state where homes appreciated the most—the increase was ******percent. How have home prices developed in recent years? House price growth in the U.S. has been going strong for years. In 2025, the median sales price of a single-family home exceeded ******* U.S. dollars, up from ******* U.S. dollars five years ago. One of the factors driving house prices was the cost of credit. The record-low federal funds effective rate allowed mortgage lenders to set mortgage interest rates as low as *** percent. With interest rates on the rise, home buying has also slowed, causing fluctuations in house prices. Why are house prices growing? Many markets in the U.S. are overheated because supply has not been able to keep up with demand. How many homes enter the housing market depends on the construction output, whereas the availability of existing homes for purchase depends on many other factors, such as the willingness of owners to sell. Furthermore, growing investor appetite in the housing sector means that prospective homebuyers have some extra competition to worry about. In certain metros, for example, the share of homes bought by investors exceeded ** percent in 2025.

  9. Vital Signs: Home Prices – Bay Area

    • data.bayareametro.gov
    application/rdfxml +5
    Updated Aug 21, 2019
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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.

  10. Highest median prices of residential real estate in New York, U.S. 2023, by...

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Highest median prices of residential real estate in New York, U.S. 2023, by zip code [Dataset]. https://www.statista.com/statistics/1279279/median-price-of-residential-properties-new-york-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
    New York, United States
    Description

    The median house prices in the most expensive zip codes in New York reached as high as *** billion U.S. in 2023. That was the median property price in dollars in *****, Sagaponack, Suffolk County in that year. In *****, Water Mill, the median price amounted to *** million U.S. dollars. The two zip codes also ranked among the ** zip codes with the highest median house price in the entire United States.

  11. F

    Housing Inventory: Median Listing Price in New York

    • fred.stlouisfed.org
    json
    Updated Jul 31, 2025
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    (2025). Housing Inventory: Median Listing Price in New York [Dataset]. https://fred.stlouisfed.org/series/MEDLISPRINY
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 31, 2025
    License

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

    Area covered
    New York
    Description

    Graph and download economic data for Housing Inventory: Median Listing Price in New York (MEDLISPRINY) from Jul 2016 to Jul 2025 about NY, listing, median, price, and USA.

  12. FHFA House Price Index

    • openicpsr.org
    Updated Feb 21, 2025
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    FHFA Housing (2025). FHFA House Price Index [Dataset]. http://doi.org/10.3886/E220325V1
    Explore at:
    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.

  13. F

    All-Transactions House Price Index for Boston, MA (MSAD)

    • fred.stlouisfed.org
    json
    Updated May 27, 2025
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    (2025). All-Transactions House Price Index for Boston, MA (MSAD) [Dataset]. https://fred.stlouisfed.org/series/ATNHPIUS14454Q
    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
    Massachusetts, Boston
    Description

    Graph and download economic data for All-Transactions House Price Index for Boston, MA (MSAD) (ATNHPIUS14454Q) from Q3 1977 to Q1 2025 about Boston, MA, appraisers, HPI, housing, price index, indexes, price, and USA.

  14. F

    Housing Inventory: Median Listing Price per Square Feet in Texas

    • fred.stlouisfed.org
    json
    Updated Jul 31, 2025
    + more versions
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    (2025). Housing Inventory: Median Listing Price per Square Feet in Texas [Dataset]. https://fred.stlouisfed.org/series/MEDLISPRIPERSQUFEETX
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 31, 2025
    License

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

    Area covered
    Texas
    Description

    Graph and download economic data for Housing Inventory: Median Listing Price per Square Feet in Texas (MEDLISPRIPERSQUFEETX) from Jul 2016 to Jul 2025 about square feet, listing, TX, median, price, and USA.

  15. Residential construction costs in the U.S. Q1 2025, by city

    • statista.com
    Updated Jul 22, 2025
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    Statista (2025). Residential construction costs in the U.S. Q1 2025, by city [Dataset]. https://www.statista.com/statistics/830432/construction-costs-of-residential-buildings-in-us-cities/
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    Dataset updated
    Jul 22, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In the first quarter of 2025, San Francisco, Chicago, New York, and Honolulu were some of the U.S. cities with the highest housing construction costs. Meanwhile, Phoenix had one of the lowest construction costs for high-end multifamily homes at *** U.S. dollars per square foot and Las Vegas for single-family homes between *** and *** U.S. dollars per square foot. Construction cost disparities As seen here, the construction cost for a high-end multi-family home in San Francisco in the first quarter of 2024 was over ***** more expensive than in Phoenix. Meanwhile, there were also great differences in the cost of building a single-family house in New York and in Portland or Seattle. Some factors that may cause these disparities are the construction materials, installation, and composite costs, differing land values, wages, etc. For example, although the price of construction materials in the U.S. was rising at a slower level than in 2022 and 2023, several materials that are essential in most construction projects had growth rates of over **** percent in 2024. Growing industry revenue Despite the economic uncertainty and other challenges, the size of the private construction market in the U.S. rose during the past years. It is important to consider that supply and demand for housing influences the revenue of this segment of the construction market. On the supply side, single-family home construction fell in 2023, but it is expected to rise in 2024 and 2025. On the demand side, some of the U.S. metropolitan areas with the highest sale prices of single-family homes were located in California, with San Jose-Sunnyvale-Santa Clara at the top of the ranking.

  16. 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
    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
    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 NC, appraisers, HPI, housing, price index, indexes, price, and USA.

  17. F

    All-Transactions House Price Index for New Jersey

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

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

  18. F

    Housing Inventory: Median Listing Price per Square Feet in Arizona

    • fred.stlouisfed.org
    json
    Updated Jul 31, 2025
    + more versions
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    (2025). Housing Inventory: Median Listing Price per Square Feet in Arizona [Dataset]. https://fred.stlouisfed.org/series/MEDLISPRIPERSQUFEEAZ
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 31, 2025
    License

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

    Area covered
    Arizona
    Description

    Graph and download economic data for Housing Inventory: Median Listing Price per Square Feet in Arizona (MEDLISPRIPERSQUFEEAZ) from Jul 2016 to Jul 2025 about AZ, square feet, listing, median, price, and USA.

  19. F

    All-Transactions House Price Index for Philadelphia, PA (MSAD)

    • fred.stlouisfed.org
    json
    Updated May 27, 2025
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    (2025). All-Transactions House Price Index for Philadelphia, PA (MSAD) [Dataset]. https://fred.stlouisfed.org/series/ATNHPIUS37964Q
    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
    Philadelphia, Pennsylvania
    Description

    Graph and download economic data for All-Transactions House Price Index for Philadelphia, PA (MSAD) (ATNHPIUS37964Q) from Q3 1976 to Q1 2025 about Philadelphia, PA, appraisers, HPI, housing, price index, indexes, price, and USA.

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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
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Vital Signs: Home Prices – by zip code

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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.

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