46 datasets found
  1. 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/
    Explore at:
    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.

  2. 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.

  3. 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
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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.

  4. 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/
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    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.

  5. 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
    Explore at:
    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.

  6. Annual home price appreciation in the U.S. 2024, by state

    • statista.com
    • ai-chatbox.pro
    Updated Jun 20, 2025
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    Statista (2025). Annual home price appreciation in the U.S. 2024, by state [Dataset]. https://www.statista.com/statistics/1240802/annual-home-price-appreciation-by-state-usa/
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    Dataset updated
    Jun 20, 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 third quarter of 2024. The District of Columbia was the only exception, with a decline of ***** percent. The annual appreciation for single-family housing in the U.S. was **** percent, while in Hawaii—the state where homes appreciated the most—the increase exceeded ** percent. How have home prices developed in recent years? House price growth in the U.S. has been going strong for years. In 2024, 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 2024.

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

    • statista.com
    Updated Dec 14, 2023
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    Statista (2023). 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/
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    Dataset updated
    Dec 14, 2023
    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 8.1 billion U.S. in 2023. That was the median property price in dollars in 11962, Sagaponack, Suffolk County in that year. In 11976, Water Mill, the median price amounted to 4.5 million U.S. dollars. The two zip codes also ranked among the 10 zip codes with the highest median house price in the entire United States.

  8. 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.

  9. F

    Housing Inventory: Median Listing Price in New York

    • fred.stlouisfed.org
    json
    Updated Jul 10, 2025
    + more versions
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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 10, 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 Jun 2025 about NY, listing, median, price, and USA.

  10. a

    Housing Affordability Index in the United States-Copy-Copy-Copy-Copy-Copy

    • uscssi.hub.arcgis.com
    Updated Nov 10, 2021
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    Spatial Sciences Institute (2021). Housing Affordability Index in the United States-Copy-Copy-Copy-Copy-Copy [Dataset]. https://uscssi.hub.arcgis.com/maps/799e364bc9ef4d1a8c1f725a71d280e4
    Explore at:
    Dataset updated
    Nov 10, 2021
    Dataset authored and provided by
    Spatial Sciences Institute
    Area covered
    Description

    This map uses a two-color thematic shading to emphasize where areas experience the least to the most affordable housing across the US. This web map is part of the How Affordable is the American Dream story map.

    Esri’s Housing Affordability Index (HAI) is a powerful tool to analyze local real estate markets. Esri’s housing affordability index measures the financial ability of a typical household to purchase an existing home in an area. A HAI of 100 represents an area that on average has sufficient household income to qualify for a loan on a home valued at the median home price. An index greater than 100 suggests homes are easily afforded by the average area resident. A HAI less than 100 suggests that homes are less affordable. The housing affordability index is not applicable in areas with no households or in predominantly rental markets . Esri’s home value estimates cover owner-occupied homes only. For a full demographic analysis of US growth refer to Esri's Trending in 2017: The Selectivity of Growth.

    The pop-up is configured to show the following 2017 demographics for each County and ZIP Code:

    Total Households 2010-17 Annual Pop Change Median Age Percent Owner-Occupied Housing Units Median Household Income Median Home Value Housing Affordability Index Share of Income to Mortgage

  11. 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/
    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

    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.

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

    • statista.com
    Updated Jul 11, 2025
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    Statista (2025). 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.

  13. Average price per square foot in new single-family homes U.S. 2000-2023

    • statista.com
    • ai-chatbox.pro
    Updated Jun 20, 2025
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    Statista (2025). Average price per square foot in new single-family homes U.S. 2000-2023 [Dataset]. https://www.statista.com/statistics/682549/average-price-per-square-foot-in-new-single-family-houses-usa/
    Explore at:
    Dataset updated
    Jun 20, 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 2022. 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.

  14. a

    Zip Code

    • livingatlas-dcdev.opendata.arcgis.com
    Updated Jun 28, 2018
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    Esri (2018). Zip Code [Dataset]. https://livingatlas-dcdev.opendata.arcgis.com/datasets/esri::zip-code-6/api
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    Dataset updated
    Jun 28, 2018
    Dataset authored and provided by
    Esri
    Area covered
    Description

    This layer shows the potential relationship between median home value and median household income in the United States from state to block group geographies. The vintage is 2018. It is symbolized with the new relationship smart mapping style which uses bivariate choropleth mapping to create a grid like pattern with two color ramps. For more information about this style, visit the documentation or blog page. The popup is configured to show median home value and median household income. For more information, visit the Updated Demographics documentation. For a full list of variables, click the Data tab.

  15. Median house prices for administrative geographies: HPSSA dataset 9

    • ons.gov.uk
    • cy.ons.gov.uk
    xls
    Updated Sep 20, 2023
    + more versions
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    Office for National Statistics (2023). Median house prices for administrative geographies: HPSSA dataset 9 [Dataset]. https://www.ons.gov.uk/peoplepopulationandcommunity/housing/datasets/medianhousepricefornationalandsubnationalgeographiesquarterlyrollingyearhpssadataset09
    Explore at:
    xlsAvailable 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 administrative geographies. Annual data.

  16. F

    All-Transactions House Price Index for San Diego-Chula Vista-Carlsbad, CA...

    • fred.stlouisfed.org
    json
    Updated May 27, 2025
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    (2025). All-Transactions House Price Index for San Diego-Chula Vista-Carlsbad, CA (MSA) [Dataset]. https://fred.stlouisfed.org/series/ATNHPIUS41740Q
    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
    Chula Vista, Carlsbad, California
    Description

    Graph and download economic data for All-Transactions House Price Index for San Diego-Chula Vista-Carlsbad, CA (MSA) (ATNHPIUS41740Q) from Q4 1975 to Q1 2025 about San Diego, appraisers, CA, HPI, housing, price index, indexes, price, and USA.

  17. d

    All-Transactions House Price Index for Connecticut

    • catalog.data.gov
    • fred.stlouisfed.org
    • +1more
    Updated Jul 19, 2025
    + more versions
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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
    Jul 19, 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.

  18. Median house prices by lower layer super output area: HPSSA dataset 46

    • 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 lower layer super output area: HPSSA dataset 46 [Dataset]. https://www.ons.gov.uk/peoplepopulationandcommunity/housing/datasets/medianpricepaidbylowerlayersuperoutputareahpssadataset46
    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, for all property types by lower layer super output area. Annual data..

  19. 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.

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    Housing Value 2022 (all geographies, statewide)

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    • opendata.atlantaregional.com
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    Updated Mar 1, 2024
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    Georgia Association of Regional Commissions (2024). Housing Value 2022 (all geographies, statewide) [Dataset]. https://hub.arcgis.com/maps/57a9a53be8074818be578ddbc03c0e3f
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    Dataset updated
    Mar 1, 2024
    Dataset provided by
    The Georgia Association of Regional Commissions
    Authors
    Georgia Association of Regional Commissions
    License

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

    Area covered
    Description

    These data were developed by the Research & Analytics Group at the Atlanta Regional Commission using data from the U.S. Census Bureau across all standard and custom geographies at statewide summary level where applicable. .
    For a deep dive into the data model including every specific metric, see the ACS 2018-2022 Data Manifest. The manifest details ARC-defined naming conventions, field names/descriptions and topics, summary levels; source tables; notes and so forth for all metrics. Find naming convention prefixes/suffixes, geography definitions and user notes below.Prefixes:NoneCountpPercentrRatemMedianaMean (average)tAggregate (total)chChange in absolute terms (value in t2 - value in t1)pchPercent change ((value in t2 - value in t1) / value in t1)chpChange in percent (percent in t2 - percent in t1)sSignificance flag for change: 1 = statistically significant with a 90% CI, 0 = not statistically significant, blank = cannot be computedSuffixes:_e22Estimate from 2018-22 ACS_m22Margin of Error from 2018-22 ACS_e102006-10 ACS, re-estimated to 2020 geography_m10Margin of Error from 2006-10 ACS, re-estimated to 2020 geography_e10_22Change, 2010-22 (holding constant at 2020 geography)GeographiesAAA = Area Agency on Aging (12 geographic units formed from counties providing statewide coverage)ARC21 = Atlanta Regional Commission modeling area (21 counties merged to a single geographic unit)ARWDB7 = Atlanta Regional Workforce Development Board (7 counties merged to a single geographic unit)BeltLineStatistical (buffer)BeltLineStatisticalSub (subareas)Census Tract (statewide)CFGA23 = Community Foundation for Greater Atlanta (23 counties merged to a single geographic unit)City (statewide)City of Atlanta Council Districts (City of Atlanta)City of Atlanta Neighborhood Planning Unit (City of Atlanta)City of Atlanta Neighborhood Statistical Areas (City of Atlanta)County (statewide)Georgia House (statewide)Georgia Senate (statewide)HSSA = High School Statistical Area (11 county region)MetroWater15 = Atlanta Metropolitan Water District (15 counties merged to a single geographic unit)Regional Commissions (statewide)State of Georgia (single geographic unit)Superdistrict (ARC region)US Congress (statewide)UWGA13 = United Way of Greater Atlanta (13 counties merged to a single geographic unit)ZIP Code Tabulation Areas (statewide)The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number – this is why a corresponding margin of error (MOE) is also given for ACS measures. The size of the MOE relative to its corresponding estimate value provides an indication of confidence in the accuracy of each estimate. Each MOE is expressed in the same units as its corresponding measure; for example, if the estimate value is expressed as a number, then its MOE will also be a number; if the estimate value is expressed as a percent, then its MOE will also be a percent. The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2018-2022). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available. For further explanation of ACS estimates and margin of error, visit Census ACS website.Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2018-2022Data License: Creative Commons Attribution 4.0 International (CC by 4.0)Link to the data manifest: https://opendata.atlantaregional.com/documents/3b86ee614e614199ba66a3ff1ebfe3b5/about

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

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