60 datasets found
  1. F

    All-Transactions House Price Index for Orange County, CA

    • fred.stlouisfed.org
    json
    Updated Mar 25, 2025
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    (2025). All-Transactions House Price Index for Orange County, CA [Dataset]. https://fred.stlouisfed.org/series/ATNHPIUS06059A
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    jsonAvailable download formats
    Dataset updated
    Mar 25, 2025
    License

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

    Area covered
    Orange County, California
    Description

    Graph and download economic data for All-Transactions House Price Index for Orange County, CA (ATNHPIUS06059A) from 1975 to 2024 about Orange County, CA; Los Angeles; CA; HPI; housing; price index; indexes; price; and USA.

  2. F

    Housing Inventory: Median Listing Price Month-Over-Month in Orange County,...

    • fred.stlouisfed.org
    json
    Updated Feb 27, 2025
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    (2025). Housing Inventory: Median Listing Price Month-Over-Month in Orange County, FL [Dataset]. https://fred.stlouisfed.org/series/MEDLISPRIMM12095
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    jsonAvailable download formats
    Dataset updated
    Feb 27, 2025
    License

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

    Area covered
    Orange County, Florida
    Description

    Graph and download economic data for Housing Inventory: Median Listing Price Month-Over-Month in Orange County, FL (MEDLISPRIMM12095) from Jul 2017 to Feb 2025 about Orange County, FL; Orlando; FL; listing; median; price; and USA.

  3. Median prices of single-family houses sold in Orange County 1999-2023

    • statista.com
    Updated Feb 20, 2024
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    Median prices of single-family houses sold in Orange County 1999-2023 [Dataset]. https://www.statista.com/statistics/607440/median-house-prices-orange-county/
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    Dataset updated
    Feb 20, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    1999 - 2023
    Area covered
    United States, Orange County
    Description

    The median sales price of single-family houses sold in Lake, Orange, Osceola and Seminole counties, Florida increased substantially in recent years. In 2023, the median sales price of single-family homes reached 443,000 U.S. dollars, up from 420,000 U.S. dollars in the previous year. A similar trend could be observed in the state of Florida.

  4. T

    All-Transactions House Price Index for Orange County, CA

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Mar 27, 2025
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    TRADING ECONOMICS (2025). All-Transactions House Price Index for Orange County, CA [Dataset]. https://tradingeconomics.com/united-states/all-transactions-house-price-index-for-orange-county-ca-fed-data.html
    Explore at:
    csv, json, xml, excelAvailable download formats
    Dataset updated
    Mar 27, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    Orange County, California
    Description

    All-Transactions House Price Index for Orange County, CA was 383.50000 Index 2000=100 in January of 2024, according to the United States Federal Reserve. Historically, All-Transactions House Price Index for Orange County, CA reached a record high of 383.50000 in January of 2024 and a record low of 17.54000 in January of 1975. Trading Economics provides the current actual value, an historical data chart and related indicators for All-Transactions House Price Index for Orange County, CA - last updated from the United States Federal Reserve on March of 2025.

  5. F

    Housing Inventory: Active Listing Count in Orange County, CA

    • fred.stlouisfed.org
    json
    Updated Jan 7, 2025
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    (2025). Housing Inventory: Active Listing Count in Orange County, CA [Dataset]. https://fred.stlouisfed.org/series/ACTLISCOU6059
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    jsonAvailable download formats
    Dataset updated
    Jan 7, 2025
    License

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

    Area covered
    Orange County, California
    Description

    Graph and download economic data for Housing Inventory: Active Listing Count in Orange County, CA (ACTLISCOU6059) from Jul 2016 to Dec 2024 about Orange County, CA; Los Angeles; active listing; CA; listing; and USA.

  6. F

    Housing Inventory: Average Listing Price Month-Over-Month in Orange County,...

    • fred.stlouisfed.org
    json
    Updated Feb 27, 2025
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    (2025). Housing Inventory: Average Listing Price Month-Over-Month in Orange County, NC [Dataset]. https://fred.stlouisfed.org/series/AVELISPRIMM37135
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Feb 27, 2025
    License

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

    Area covered
    Orange County, North Carolina
    Description

    Graph and download economic data for Housing Inventory: Average Listing Price Month-Over-Month in Orange County, NC (AVELISPRIMM37135) from Jul 2017 to Feb 2025 about Orange County, NC; Durham; average; NC; listing; price; and USA.

  7. a

    OCACS 2021 Housing Characteristics for Cities

    • data-ocpw.opendata.arcgis.com
    • hub.arcgis.com
    Updated May 5, 2023
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    OC Public Works (2023). OCACS 2021 Housing Characteristics for Cities [Dataset]. https://data-ocpw.opendata.arcgis.com/datasets/OCPW::ocacs-2021-housing-characteristics-for-cities/about
    Explore at:
    Dataset updated
    May 5, 2023
    Dataset authored and provided by
    OC Public Works
    Area covered
    Description

    US Census American Community Survey (ACS) 2021, 5-year estimates of the key housing characteristics of Cities/Places geographic level in Orange County, California. The data contains 406 fields for the variable groups H01: Housing occupancy (universe: total housing units, table X25, 3 fields); H02: Units in structure (universe: total housing units, table X25, 11 fields); H03: Population in occupied housing units by tenure by units in structure (universe: total population in occupied housing units, table X25, 13 fields); H04: Year structure built (universe: total housing units, table X25, 15 fields); H05: Rooms (universe: total housing units, table X25, 18 fields); H06: Bedrooms (universe: total housing units, table X25, 21 fields); H07: Housing tenure by race of householder (universe: occupied housing units, table X25, 51 fields); H08: Total population in occupied housing units by tenure (universe: total population in occupied housing units, table X25, 3 fields); H09: Vacancy status (universe: vacant housing units, table X25, 8 fields); H10: Occupied housing units by race of householder (universe: occupied housing units, table X25, 8 fields); H11: Year householder moved into unit (universe: occupied housing units, table X25, 18 fields); H12: Vehicles available (universe: occupied housing units, table X25, 18 fields); H13: Housing heating fuel (universe: occupied housing units, table X25, 10 fields); H14: Selected housing characteristics (universe: occupied housing units, table X25, 9 fields); H15: Occupants per room (universe: occupied housing units, table X25, 13 fields); H16: Housing value (universe: owner-occupied units, table X25, 32 fields); H17: Price asked for vacant for sale only, and sold not occupied housing units (universe: vacant for sale only, and sold not occupied housing units, table X25, 28 fields); H18: Mortgage status (universe: owner-occupied units, table X25, 10 fields); H19: Selected monthly owner costs, SMOC (universe: owner-occupied housing units with or without a mortgage, table X25, 45 fields); H20: Selected monthly owner costs as a percentage of household income, SMOCAPI (universe: owner-occupied housing units with or without a mortgage, table X25, 26 fields); H21: Contract rent distribution and rent asked distribution in dollars (universe: renter-occupied housing units paying cash rent and vacant, for rent, and rented not occupied housing units, table X25, 7 fields); H22: Gross rent (universe: occupied units paying rent, table X25, 28 fields), and; X23: Gross rent as percentage of household income (universe: occupied units paying rent, table X25, 11 fields). The US Census geodemographic data are based on the 2021 TigerLines across multiple geographies. The spatial geographies were merged with ACS data tables. See full documentation at the OCACS project GitHub page (https://github.com/ktalexan/OCACS-Geodemographics).

  8. T

    Consumer Price Index for All Urban Consumers: Housing in Los...

    • tradingeconomics.com
    csv, excel, json, xml
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    TRADING ECONOMICS, Consumer Price Index for All Urban Consumers: Housing in Los Angeles-Riverside-Orange County, CA (CMSA) (DISCONTINUED) [Dataset]. https://tradingeconomics.com/united-states/consumer-price-index-for-all-urban-consumers-housing-in-los-angeles-riverside-orange-county-ca-cmsa-index-1982-84-100-fed-data.html
    Explore at:
    csv, excel, xml, jsonAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    Riverside, Orange County, California, Los Angeles
    Description

    Consumer Price Index for All Urban Consumers: Housing in Los Angeles-Riverside-Orange County, CA (CMSA) (DISCONTINUED) was 290.63400 Index 1982-84=100 in July of 2017, according to the United States Federal Reserve. Historically, Consumer Price Index for All Urban Consumers: Housing in Los Angeles-Riverside-Orange County, CA (CMSA) (DISCONTINUED) reached a record high of 290.63400 in July of 2017 and a record low of 102.20000 in January of 1984. Trading Economics provides the current actual value, an historical data chart and related indicators for Consumer Price Index for All Urban Consumers: Housing in Los Angeles-Riverside-Orange County, CA (CMSA) (DISCONTINUED) - last updated from the United States Federal Reserve on March of 2025.

  9. F

    Housing Inventory: Price Increased Count Month-Over-Month in Orange County,...

    • fred.stlouisfed.org
    json
    Updated Feb 27, 2025
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    (2025). Housing Inventory: Price Increased Count Month-Over-Month in Orange County, NY [Dataset]. https://fred.stlouisfed.org/series/PRIINCCOUMM36071
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Feb 27, 2025
    License

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

    Area covered
    New York, Orange County
    Description

    Graph and download economic data for Housing Inventory: Price Increased Count Month-Over-Month in Orange County, NY (PRIINCCOUMM36071) from Jul 2017 to Feb 2025 about Orange County, NY; Poughkeepsie; NY; price; and USA.

  10. T

    Consumer Price Index for All Urban Consumers: Food at Home in Los...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Dec 20, 2023
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    TRADING ECONOMICS (2023). Consumer Price Index for All Urban Consumers: Food at Home in Los Angeles-Riverside-Orange County, CA (CMSA) (DISCONTINUED) [Dataset]. https://tradingeconomics.com/united-states/consumer-price-index-for-all-urban-consumers-food-at-home-in-los-angeles-riverside-orange-county-ca-cmsa-fed-data.html
    Explore at:
    xml, excel, csv, jsonAvailable download formats
    Dataset updated
    Dec 20, 2023
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    Riverside, Orange County, California, Los Angeles
    Description

    Consumer Price Index for All Urban Consumers: Food at Home in Los Angeles-Riverside-Orange County, CA (CMSA) (DISCONTINUED) was 255.37500 Index 1982-84=100 in December of 2017, according to the United States Federal Reserve. Historically, Consumer Price Index for All Urban Consumers: Food at Home in Los Angeles-Riverside-Orange County, CA (CMSA) (DISCONTINUED) reached a record high of 260.99900 in October of 2015 and a record low of 29.10000 in August of 1955. Trading Economics provides the current actual value, an historical data chart and related indicators for Consumer Price Index for All Urban Consumers: Food at Home in Los Angeles-Riverside-Orange County, CA (CMSA) (DISCONTINUED) - last updated from the United States Federal Reserve on March of 2025.

  11. a

    OCACS 2015 Housing Characteristics for County Subdivisions

    • hub.arcgis.com
    • data-ocpw.opendata.arcgis.com
    Updated Jan 22, 2020
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    OC Public Works (2020). OCACS 2015 Housing Characteristics for County Subdivisions [Dataset]. https://hub.arcgis.com/maps/OCPW::ocacs-2015-housing-characteristics-for-county-subdivisions/about
    Explore at:
    Dataset updated
    Jan 22, 2020
    Dataset authored and provided by
    OC Public Works
    Area covered
    Description

    US Census American Community Survey (ACS) 2015, 5-year estimates of the key housing characteristics of County Subdivisions geographic level in Orange County, California. The data contains 406 fields for the variable groups H01: Housing occupancy (universe: total housing units, table X25, 3 fields); H02: Units in structure (universe: total housing units, table X25, 11 fields); H03: Population in occupied housing units by tenure by units in structure (universe: total population in occupied housing units, table X25, 13 fields); H04: Year structure built (universe: total housing units, table X25, 15 fields); H05: Rooms (universe: total housing units, table X25, 18 fields); H06: Bedrooms (universe: total housing units, table X25, 21 fields); H07: Housing tenure by race of householder (universe: occupied housing units, table X25, 51 fields); H08: Total population in occupied housing units by tenure (universe: total population in occupied housing units, table X25, 3 fields); H09: Vacancy status (universe: vacant housing units, table X25, 8 fields); H10: Occupied housing units by race of householder (universe: occupied housing units, table X25, 8 fields); H11: Year householder moved into unit (universe: occupied housing units, table X25, 18 fields); H12: Vehicles available (universe: occupied housing units, table X25, 18 fields); H13: Housing heating fuel (universe: occupied housing units, table X25, 10 fields); H14: Selected housing characteristics (universe: occupied housing units, table X25, 9 fields); H15: Occupants per room (universe: occupied housing units, table X25, 13 fields); H16: Housing value (universe: owner-occupied units, table X25, 32 fields); H17: Price asked for vacant for sale only, and sold not occupied housing units (universe: vacant for sale only, and sold not occupied housing units, table X25, 28 fields); H18: Mortgage status (universe: owner-occupied units, table X25, 10 fields); H19: Selected monthly owner costs, SMOC (universe: owner-occupied housing units with or without a mortgage, table X25, 45 fields); H20: Selected monthly owner costs as a percentage of household income, SMOCAPI (universe: owner-occupied housing units with or without a mortgage, table X25, 26 fields); H21: Contract rent distribution and rent asked distribution in dollars (universe: renter-occupied housing units paying cash rent and vacant, for rent, and rented not occupied housing units, table X25, 7 fields); H22: Gross rent (universe: occupied units paying rent, table X25, 28 fields), and; X23: Gross rent as percentage of household income (universe: occupied units paying rent, table X25, 11 fields). The US Census geodemographic data are based on the 2015 TigerLines across multiple geographies. The spatial geographies were merged with ACS data tables. See full documentation at the OCACS project github page (https://github.com/ktalexan/OCACS-Geodemographics).

  12. a

    OCACS 2019 Housing Characteristics for Orange County

    • data-ocpw.opendata.arcgis.com
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    Updated Sep 14, 2021
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    OC Public Works (2021). OCACS 2019 Housing Characteristics for Orange County [Dataset]. https://data-ocpw.opendata.arcgis.com/datasets/ocacs-2019-housing-characteristics-for-orange-county
    Explore at:
    Dataset updated
    Sep 14, 2021
    Dataset authored and provided by
    OC Public Works
    Area covered
    Description

    US Census American Community Survey (ACS) 2019, 5-year estimates of the key housing characteristics for Orange County, California. The data contains 406 fields for the variable groups H01: Housing occupancy (universe: total housing units, table X25, 3 fields); H02: Units in structure (universe: total housing units, table X25, 11 fields); H03: Population in occupied housing units by tenure by units in structure (universe: total population in occupied housing units, table X25, 13 fields); H04: Year structure built (universe: total housing units, table X25, 15 fields); H05: Rooms (universe: total housing units, table X25, 18 fields); H06: Bedrooms (universe: total housing units, table X25, 21 fields); H07: Housing tenure by race of householder (universe: occupied housing units, table X25, 51 fields); H08: Total population in occupied housing units by tenure (universe: total population in occupied housing units, table X25, 3 fields); H09: Vacancy status (universe: vacant housing units, table X25, 8 fields); H10: Occupied housing units by race of householder (universe: occupied housing units, table X25, 8 fields); H11: Year householder moved into unit (universe: occupied housing units, table X25, 18 fields); H12: Vehicles available (universe: occupied housing units, table X25, 18 fields); H13: Housing heating fuel (universe: occupied housing units, table X25, 10 fields); H14: Selected housing characteristics (universe: occupied housing units, table X25, 9 fields); H15: Occupants per room (universe: occupied housing units, table X25, 13 fields); H16: Housing value (universe: owner-occupied units, table X25, 32 fields); H17: Price asked for vacant for sale only, and sold not occupied housing units (universe: vacant for sale only, and sold not occupied housing units, table X25, 28 fields); H18: Mortgage status (universe: owner-occupied units, table X25, 10 fields); H19: Selected monthly owner costs, SMOC (universe: owner-occupied housing units with or without a mortgage, table X25, 45 fields); H20: Selected monthly owner costs as a percentage of household income, SMOCAPI (universe: owner-occupied housing units with or without a mortgage, table X25, 26 fields); H21: Contract rent distribution and rent asked distribution in dollars (universe: renter-occupied housing units paying cash rent and vacant, for rent, and rented not occupied housing units, table X25, 7 fields); H22: Gross rent (universe: occupied units paying rent, table X25, 28 fields), and; X23: Gross rent as percentage of household income (universe: occupied units paying rent, table X25, 11 fields). The US Census geodemographic data are based on the 2019 TigerLines across multiple geographies. The spatial geographies were merged with ACS data tables. See full documentation at the OCACS project github page (https://github.com/ktalexan/OCACS-Geodemographics).

  13. F

    Housing Inventory: Median Listing Price Year-Over-Year in Orange County, NY

    • fred.stlouisfed.org
    json
    Updated Feb 27, 2025
    + more versions
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    (2025). Housing Inventory: Median Listing Price Year-Over-Year in Orange County, NY [Dataset]. https://fred.stlouisfed.org/series/MEDLISPRIYY36071
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Feb 27, 2025
    License

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

    Area covered
    New York, Orange County
    Description

    Graph and download economic data for Housing Inventory: Median Listing Price Year-Over-Year in Orange County, NY (MEDLISPRIYY36071) from Jul 2017 to Feb 2025 about Orange County, NY; Poughkeepsie; NY; listing; median; price; and USA.

  14. a

    OCACS 2020 Housing Characteristics for County Subdivisions

    • hub.arcgis.com
    • data-ocpw.opendata.arcgis.com
    Updated May 5, 2023
    + more versions
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    OC Public Works (2023). OCACS 2020 Housing Characteristics for County Subdivisions [Dataset]. https://hub.arcgis.com/maps/OCPW::ocacs-2020-housing-characteristics-for-county-subdivisions
    Explore at:
    Dataset updated
    May 5, 2023
    Dataset authored and provided by
    OC Public Works
    Area covered
    Description

    US Census American Community Survey (ACS) 2020, 5-year estimates of the key housing characteristics of County Subdivisions geographic level in Orange County, California. The data contains 406 fields for the variable groups H01: Housing occupancy (universe: total housing units, table X25, 3 fields); H02: Units in structure (universe: total housing units, table X25, 11 fields); H03: Population in occupied housing units by tenure by units in structure (universe: total population in occupied housing units, table X25, 13 fields); H04: Year structure built (universe: total housing units, table X25, 15 fields); H05: Rooms (universe: total housing units, table X25, 18 fields); H06: Bedrooms (universe: total housing units, table X25, 21 fields); H07: Housing tenure by race of householder (universe: occupied housing units, table X25, 51 fields); H08: Total population in occupied housing units by tenure (universe: total population in occupied housing units, table X25, 3 fields); H09: Vacancy status (universe: vacant housing units, table X25, 8 fields); H10: Occupied housing units by race of householder (universe: occupied housing units, table X25, 8 fields); H11: Year householder moved into unit (universe: occupied housing units, table X25, 18 fields); H12: Vehicles available (universe: occupied housing units, table X25, 18 fields); H13: Housing heating fuel (universe: occupied housing units, table X25, 10 fields); H14: Selected housing characteristics (universe: occupied housing units, table X25, 9 fields); H15: Occupants per room (universe: occupied housing units, table X25, 13 fields); H16: Housing value (universe: owner-occupied units, table X25, 32 fields); H17: Price asked for vacant for sale only, and sold not occupied housing units (universe: vacant for sale only, and sold not occupied housing units, table X25, 28 fields); H18: Mortgage status (universe: owner-occupied units, table X25, 10 fields); H19: Selected monthly owner costs, SMOC (universe: owner-occupied housing units with or without a mortgage, table X25, 45 fields); H20: Selected monthly owner costs as a percentage of household income, SMOCAPI (universe: owner-occupied housing units with or without a mortgage, table X25, 26 fields); H21: Contract rent distribution and rent asked distribution in dollars (universe: renter-occupied housing units paying cash rent and vacant, for rent, and rented not occupied housing units, table X25, 7 fields); H22: Gross rent (universe: occupied units paying rent, table X25, 28 fields), and; X23: Gross rent as percentage of household income (universe: occupied units paying rent, table X25, 11 fields). The US Census geodemographic data are based on the 2020 TigerLines across multiple geographies. The spatial geographies were merged with ACS data tables. See full documentation at the OCACS project GitHub page (https://github.com/ktalexan/OCACS-Geodemographics).

  15. a

    OCACS 2018 Housing Characteristics for Cities

    • data-ocpw.opendata.arcgis.com
    Updated Jun 19, 2020
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    OC Public Works (2020). OCACS 2018 Housing Characteristics for Cities [Dataset]. https://data-ocpw.opendata.arcgis.com/datasets/d4c70d9836984b988a34fef76b733ec5
    Explore at:
    Dataset updated
    Jun 19, 2020
    Dataset authored and provided by
    OC Public Works
    Area covered
    Description

    US Census American Community Survey (ACS) 2018, 5-year estimates of the key housing characteristics of Cities/Places geographic level in Orange County, California. The data contains 406 fields for the variable groups H01: Housing occupancy (universe: total housing units, table X25, 3 fields); H02: Units in structure (universe: total housing units, table X25, 11 fields); H03: Population in occupied housing units by tenure by units in structure (universe: total population in occupied housing units, table X25, 13 fields); H04: Year structure built (universe: total housing units, table X25, 15 fields); H05: Rooms (universe: total housing units, table X25, 18 fields); H06: Bedrooms (universe: total housing units, table X25, 21 fields); H07: Housing tenure by race of householder (universe: occupied housing units, table X25, 51 fields); H08: Total population in occupied housing units by tenure (universe: total population in occupied housing units, table X25, 3 fields); H09: Vacancy status (universe: vacant housing units, table X25, 8 fields); H10: Occupied housing units by race of householder (universe: occupied housing units, table X25, 8 fields); H11: Year householder moved into unit (universe: occupied housing units, table X25, 18 fields); H12: Vehicles available (universe: occupied housing units, table X25, 18 fields); H13: Housing heating fuel (universe: occupied housing units, table X25, 10 fields); H14: Selected housing characteristics (universe: occupied housing units, table X25, 9 fields); H15: Occupants per room (universe: occupied housing units, table X25, 13 fields); H16: Housing value (universe: owner-occupied units, table X25, 32 fields); H17: Price asked for vacant for sale only, and sold not occupied housing units (universe: vacant for sale only, and sold not occupied housing units, table X25, 28 fields); H18: Mortgage status (universe: owner-occupied units, table X25, 10 fields); H19: Selected monthly owner costs, SMOC (universe: owner-occupied housing units with or without a mortgage, table X25, 45 fields); H20: Selected monthly owner costs as a percentage of household income, SMOCAPI (universe: owner-occupied housing units with or without a mortgage, table X25, 26 fields); H21: Contract rent distribution and rent asked distribution in dollars (universe: renter-occupied housing units paying cash rent and vacant, for rent, and rented not occupied housing units, table X25, 7 fields); H22: Gross rent (universe: occupied units paying rent, table X25, 28 fields), and; X23: Gross rent as percentage of household income (universe: occupied units paying rent, table X25, 11 fields). The US Census geodemographic data are based on the 2018 TigerLines across multiple geographies. The spatial geographies were merged with ACS data tables. See full documentation at the OCACS project github page (https://github.com/ktalexan/OCACS-Geodemographics).

  16. a

    OCACS 2017 Housing Characteristics for Census Tracts

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • data-ocpw.opendata.arcgis.com
    Updated Jan 22, 2020
    + more versions
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    OC Public Works (2020). OCACS 2017 Housing Characteristics for Census Tracts [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/maps/OCPW::ocacs-2017-housing-characteristics-for-census-tracts/about
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    Dataset updated
    Jan 22, 2020
    Dataset authored and provided by
    OC Public Works
    Area covered
    Description

    US Census American Community Survey (ACS) 2017, 5-year estimates of the key housing characteristics of Census Tracts geographic level in Orange County, California. The data contains 406 fields for the variable groups H01: Housing occupancy (universe: total housing units, table X25, 3 fields); H02: Units in structure (universe: total housing units, table X25, 11 fields); H03: Population in occupied housing units by tenure by units in structure (universe: total population in occupied housing units, table X25, 13 fields); H04: Year structure built (universe: total housing units, table X25, 15 fields); H05: Rooms (universe: total housing units, table X25, 18 fields); H06: Bedrooms (universe: total housing units, table X25, 21 fields); H07: Housing tenure by race of householder (universe: occupied housing units, table X25, 51 fields); H08: Total population in occupied housing units by tenure (universe: total population in occupied housing units, table X25, 3 fields); H09: Vacancy status (universe: vacant housing units, table X25, 8 fields); H10: Occupied housing units by race of householder (universe: occupied housing units, table X25, 8 fields); H11: Year householder moved into unit (universe: occupied housing units, table X25, 18 fields); H12: Vehicles available (universe: occupied housing units, table X25, 18 fields); H13: Housing heating fuel (universe: occupied housing units, table X25, 10 fields); H14: Selected housing characteristics (universe: occupied housing units, table X25, 9 fields); H15: Occupants per room (universe: occupied housing units, table X25, 13 fields); H16: Housing value (universe: owner-occupied units, table X25, 32 fields); H17: Price asked for vacant for sale only, and sold not occupied housing units (universe: vacant for sale only, and sold not occupied housing units, table X25, 28 fields); H18: Mortgage status (universe: owner-occupied units, table X25, 10 fields); H19: Selected monthly owner costs, SMOC (universe: owner-occupied housing units with or without a mortgage, table X25, 45 fields); H20: Selected monthly owner costs as a percentage of household income, SMOCAPI (universe: owner-occupied housing units with or without a mortgage, table X25, 26 fields); H21: Contract rent distribution and rent asked distribution in dollars (universe: renter-occupied housing units paying cash rent and vacant, for rent, and rented not occupied housing units, table X25, 7 fields); H22: Gross rent (universe: occupied units paying rent, table X25, 28 fields), and; X23: Gross rent as percentage of household income (universe: occupied units paying rent, table X25, 11 fields). The US Census geodemographic data are based on the 2017 TigerLines across multiple geographies. The spatial geographies were merged with ACS data tables. See full documentation at the OCACS project github page (https://github.com/ktalexan/OCACS-Geodemographics).

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    OCACS 2016 Housing Characteristics for State Senate Legislative Districts

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • data-ocpw.opendata.arcgis.com
    Updated Jan 22, 2020
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    OC Public Works (2020). OCACS 2016 Housing Characteristics for State Senate Legislative Districts [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/datasets/dd9e90ec63b5498cbd220bd16143c72f
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    Dataset updated
    Jan 22, 2020
    Dataset authored and provided by
    OC Public Works
    Area covered
    Description

    US Census American Community Survey (ACS) 2016, 5-year estimates of the key housing characteristics of State Senate Legislative Districts (Upper) geographic level in Orange County, California. The data contains 406 fields for the variable groups H01: Housing occupancy (universe: total housing units, table X25, 3 fields); H02: Units in structure (universe: total housing units, table X25, 11 fields); H03: Population in occupied housing units by tenure by units in structure (universe: total population in occupied housing units, table X25, 13 fields); H04: Year structure built (universe: total housing units, table X25, 15 fields); H05: Rooms (universe: total housing units, table X25, 18 fields); H06: Bedrooms (universe: total housing units, table X25, 21 fields); H07: Housing tenure by race of householder (universe: occupied housing units, table X25, 51 fields); H08: Total population in occupied housing units by tenure (universe: total population in occupied housing units, table X25, 3 fields); H09: Vacancy status (universe: vacant housing units, table X25, 8 fields); H10: Occupied housing units by race of householder (universe: occupied housing units, table X25, 8 fields); H11: Year householder moved into unit (universe: occupied housing units, table X25, 18 fields); H12: Vehicles available (universe: occupied housing units, table X25, 18 fields); H13: Housing heating fuel (universe: occupied housing units, table X25, 10 fields); H14: Selected housing characteristics (universe: occupied housing units, table X25, 9 fields); H15: Occupants per room (universe: occupied housing units, table X25, 13 fields); H16: Housing value (universe: owner-occupied units, table X25, 32 fields); H17: Price asked for vacant for sale only, and sold not occupied housing units (universe: vacant for sale only, and sold not occupied housing units, table X25, 28 fields); H18: Mortgage status (universe: owner-occupied units, table X25, 10 fields); H19: Selected monthly owner costs, SMOC (universe: owner-occupied housing units with or without a mortgage, table X25, 45 fields); H20: Selected monthly owner costs as a percentage of household income, SMOCAPI (universe: owner-occupied housing units with or without a mortgage, table X25, 26 fields); H21: Contract rent distribution and rent asked distribution in dollars (universe: renter-occupied housing units paying cash rent and vacant, for rent, and rented not occupied housing units, table X25, 7 fields); H22: Gross rent (universe: occupied units paying rent, table X25, 28 fields), and; X23: Gross rent as percentage of household income (universe: occupied units paying rent, table X25, 11 fields). The US Census geodemographic data are based on the 2016 TigerLines across multiple geographies. The spatial geographies were merged with ACS data tables. See full documentation at the OCACS project github page (https://github.com/ktalexan/OCACS-Geodemographics).

  18. F

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

    • fred.stlouisfed.org
    json
    Updated Mar 25, 2025
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    (2025). S&P CoreLogic Case-Shiller CA-Los Angeles Home Price Index [Dataset]. https://fred.stlouisfed.org/series/LXXRSA
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    jsonAvailable download formats
    Dataset updated
    Mar 25, 2025
    License

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

    Area covered
    California, Los Angeles
    Description

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

  19. a

    OCACS 2016 Housing Characteristics for Cities

    • hub.arcgis.com
    • data-ocpw.opendata.arcgis.com
    Updated Jan 22, 2020
    + more versions
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    OC Public Works (2020). OCACS 2016 Housing Characteristics for Cities [Dataset]. https://hub.arcgis.com/maps/OCPW::ocacs-2016-housing-characteristics-for-cities/about
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    Dataset updated
    Jan 22, 2020
    Dataset authored and provided by
    OC Public Works
    Area covered
    Description

    US Census American Community Survey (ACS) 2016, 5-year estimates of the key housing characteristics of Cities/Places geographic level in Orange County, California. The data contains 406 fields for the variable groups H01: Housing occupancy (universe: total housing units, table X25, 3 fields); H02: Units in structure (universe: total housing units, table X25, 11 fields); H03: Population in occupied housing units by tenure by units in structure (universe: total population in occupied housing units, table X25, 13 fields); H04: Year structure built (universe: total housing units, table X25, 15 fields); H05: Rooms (universe: total housing units, table X25, 18 fields); H06: Bedrooms (universe: total housing units, table X25, 21 fields); H07: Housing tenure by race of householder (universe: occupied housing units, table X25, 51 fields); H08: Total population in occupied housing units by tenure (universe: total population in occupied housing units, table X25, 3 fields); H09: Vacancy status (universe: vacant housing units, table X25, 8 fields); H10: Occupied housing units by race of householder (universe: occupied housing units, table X25, 8 fields); H11: Year householder moved into unit (universe: occupied housing units, table X25, 18 fields); H12: Vehicles available (universe: occupied housing units, table X25, 18 fields); H13: Housing heating fuel (universe: occupied housing units, table X25, 10 fields); H14: Selected housing characteristics (universe: occupied housing units, table X25, 9 fields); H15: Occupants per room (universe: occupied housing units, table X25, 13 fields); H16: Housing value (universe: owner-occupied units, table X25, 32 fields); H17: Price asked for vacant for sale only, and sold not occupied housing units (universe: vacant for sale only, and sold not occupied housing units, table X25, 28 fields); H18: Mortgage status (universe: owner-occupied units, table X25, 10 fields); H19: Selected monthly owner costs, SMOC (universe: owner-occupied housing units with or without a mortgage, table X25, 45 fields); H20: Selected monthly owner costs as a percentage of household income, SMOCAPI (universe: owner-occupied housing units with or without a mortgage, table X25, 26 fields); H21: Contract rent distribution and rent asked distribution in dollars (universe: renter-occupied housing units paying cash rent and vacant, for rent, and rented not occupied housing units, table X25, 7 fields); H22: Gross rent (universe: occupied units paying rent, table X25, 28 fields), and; X23: Gross rent as percentage of household income (universe: occupied units paying rent, table X25, 11 fields). The US Census geodemographic data are based on the 2016 TigerLines across multiple geographies. The spatial geographies were merged with ACS data tables. See full documentation at the OCACS project github page (https://github.com/ktalexan/OCACS-Geodemographics).

  20. F

    Housing Inventory: Price Reduced Count in Orange County, NY

    • fred.stlouisfed.org
    json
    Updated Feb 27, 2025
    + more versions
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    (2025). Housing Inventory: Price Reduced Count in Orange County, NY [Dataset]. https://fred.stlouisfed.org/series/PRIREDCOU36071
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    jsonAvailable download formats
    Dataset updated
    Feb 27, 2025
    License

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

    Area covered
    New York, Orange County
    Description

    Graph and download economic data for Housing Inventory: Price Reduced Count in Orange County, NY (PRIREDCOU36071) from Jul 2016 to Feb 2025 about Orange County, NY; Poughkeepsie; reduced count; NY; price; and USA.

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(2025). All-Transactions House Price Index for Orange County, CA [Dataset]. https://fred.stlouisfed.org/series/ATNHPIUS06059A

All-Transactions House Price Index for Orange County, CA

ATNHPIUS06059A

Explore at:
jsonAvailable download formats
Dataset updated
Mar 25, 2025
License

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

Area covered
Orange County, California
Description

Graph and download economic data for All-Transactions House Price Index for Orange County, CA (ATNHPIUS06059A) from 1975 to 2024 about Orange County, CA; Los Angeles; CA; HPI; housing; price index; indexes; price; and USA.

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