12 datasets found
  1. Median apartment rent in the San Francisco Bay Area 2023, by city

    • statista.com
    Updated Nov 29, 2025
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    Statista (2025). Median apartment rent in the San Francisco Bay Area 2023, by city [Dataset]. https://www.statista.com/statistics/806255/san-francisco-bay-area-apartment-rents-by-submarket/
    Explore at:
    Dataset updated
    Nov 29, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    May 2023
    Area covered
    San Francisco Bay Area, United States
    Description

    The median monthly apartment rental rate for a one bedroom apartment in San Francisco Bay Area was the highest in Mountain View as of May 2023, at nearly ***** U.S. dollars. The median monthly rent for a one bedroom apartment in Vallejo, on the other hand, was aproximately ***** U.S. dollars per month.

  2. M

    Vital Signs: List Rents – by city

    • open-data-demo.mtc.ca.gov
    • data.bayareametro.gov
    csv, xlsx, xml
    Updated Jan 19, 2017
    + more versions
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    real Answers (2017). Vital Signs: List Rents – by city [Dataset]. https://open-data-demo.mtc.ca.gov/dataset/Vital-Signs-List-Rents-by-city/vpmm-yh3p/about
    Explore at:
    xlsx, xml, csvAvailable download formats
    Dataset updated
    Jan 19, 2017
    Dataset authored and provided by
    real Answers
    Description

    VITAL SIGNS INDICATOR List Rents (EC9)

    FULL MEASURE NAME List Rents

    LAST UPDATED October 2016

    DESCRIPTION List rent refers to the advertised rents for available rental housing and serves as a measure of housing costs for new households moving into a neighborhood, city, county or region.

    DATA SOURCE real Answers (1994 – 2015) no link

    Zillow Metro Median Listing Price All Homes (2010-2016) http://www.zillow.com/research/data/

    CONTACT INFORMATION vitalsigns.info@mtc.ca.gov

    METHODOLOGY NOTES (across all datasets for this indicator) List rents data reflects median rent prices advertised for available apartments rather than median rent payments; more information is available in the indicator definition above. Regional and local geographies rely on data collected by real Answers, a research organization and database publisher specializing in the multifamily housing market. real Answers focuses on collecting longitudinal data for individual rental properties through quarterly surveys. For the Bay Area, their database is comprised of properties with 40 to 3,000+ housing units. Median list prices most likely have an upward bias due to the exclusion of smaller properties. The bias may be most extreme in geographies where large rental properties represent a small portion of the overall rental market. A map of the individual properties surveyed is included in the Local Focus section.

    Individual properties surveyed provided lower- and upper-bound ranges for the various types of housing available (studio, 1 bedroom, 2 bedroom, etc.). Median lower- and upper-bound prices are determined across all housing types for the regional and county geographies. The median list price represented in Vital Signs is the average of the median lower- and upper-bound prices for the region and counties. Median upper-bound prices are determined across all housing types for the city geographies. The median list price represented in Vital Signs is the median upper-bound price for cities. For simplicity, only the mean list rent is displayed for the individual properties. The metro areas geography rely upon Zillow data, which is the median price for rentals listed through www.zillow.com during the month. Like the real Answers data, Zillow's median list prices most likely have an upward bias since small properties are underrepresented in Zillow's listings. The metro area data for the Bay Area cannot be compared to the regional Bay Area data. Due to afore mentioned data limitations, this data is suitable for analyzing the change in list rents over time but not necessarily comparisons of absolute list rents. Metro area boundaries reflects today’s metro area definitions by county for consistency, rather than historical metro area boundaries.

    Due to the limited number of rental properties surveyed, city-level data is unavailable for Atherton, Belvedere, Brisbane, Calistoga, Clayton, Cloverdale, Cotati, Fairfax, Half Moon Bay, Healdsburg, Hillsborough, Los Altos Hills, Monte Sereno, Moranga, Oakley, Orinda, Portola Valley, Rio Vista, Ross, San Anselmo, San Carlos, Saratoga, Sebastopol, Windsor, Woodside, and Yountville.

    Inflation-adjusted data are presented to illustrate how rents 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. Percent change in inflation-adjusted median is calculated with respect to the median price from the fourth quarter or December of the base year.

  3. T

    Vital Signs: Rent Payments – by city (2022)

    • data.bayareametro.gov
    csv, xlsx, xml
    Updated Feb 1, 2023
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    (2023). Vital Signs: Rent Payments – by city (2022) [Dataset]. https://data.bayareametro.gov/dataset/Vital-Signs-Rent-Payments-by-city-2022-/wjgr-k4g6
    Explore at:
    csv, xml, xlsxAvailable download formats
    Dataset updated
    Feb 1, 2023
    Description

    VITAL SIGNS INDICATOR
    Rent Payments (EC8)

    FULL MEASURE NAME
    Median rent payment

    LAST UPDATED
    January 2023

    DESCRIPTION
    Rent payments refer to the cost of leasing an apartment or home and serves as a measure of housing costs for individuals who do not own a home. The data reflect the median monthly rent paid by Bay Area households across apartments and homes of various sizes and various levels of quality. This differs from advertised rents for available apartments, which usually are higher. Note that rent can be presented using nominal or real (inflation-adjusted) dollar values; data are presented inflation-adjusted to reflect changes in household purchasing power over time.

    DATA SOURCE
    U.S. Census Bureau: Decennial Census - https://nhgis.org
    Count 2 (1970)
    Form STF1 (1980-1990)
    Form SF3a (2000)

    U.S. Census Bureau: American Community Survey - https://data.census.gov/
    Form B25058 (2005-2021; median contract rent)

    Bureau of Labor Statistics: Consumer Price Index - https://www.bls.gov/data/
    1970-2021

    CONTACT INFORMATION
    vitalsigns.info@mtc.ca.gov

    METHODOLOGY NOTES (across all datasets for this indicator)
    Rent data reflects median rent payments rather than list rents (refer to measure definition above). American Community Survey 1-year data is used for larger geographies – Bay counties and most metropolitan area counties – while smaller geographies rely upon 5-year rolling average data due to their smaller sample sizes. Note that 2020 data uses the 5-year estimates because the ACS did not collect 1-year data for 2020.

    1970 Census data for median rent payments has been imputed from quintiles using methodology from California Department of Finance as the source data only provided the mean, rather than the median, monthly rent. Metro area boundaries reflects today’s metro area definitions by county for consistency, rather than historical metro area boundaries.

    Inflation-adjusted data are presented to illustrate how rent payments 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 CPI itself.

  4. Monthly apartment rent and rental growth in San Francisco, CA, 2018-2023

    • statista.com
    Updated Feb 15, 2024
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    Statista (2024). Monthly apartment rent and rental growth in San Francisco, CA, 2018-2023 [Dataset]. https://www.statista.com/statistics/1365486/apartment-rent-and-rental-growth-san-francisco/
    Explore at:
    Dataset updated
    Feb 15, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2018 - Dec 2023
    Area covered
    California
    Description

    The median rent for one- and two-bedroom apartments in San Francisco, CA, amounted to about ***** U.S. dollars at the end of 2023. Rents decreased drastically after the beginning of the coronavirus pandemic - by over ** percent between December 2019 and December 2020. This trend reversed in 2021, and as of December 2021, the annual rental growth stood at ** percent. Among the different states in the U.S., California ranks as the second most expensive rental market in 2023.

  5. SF Rents

    • kaggle.com
    zip
    Updated Nov 8, 2023
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    Sujay Kapadnis (2023). SF Rents [Dataset]. https://www.kaggle.com/datasets/sujaykapadnis/sf-rents
    Explore at:
    zip(18593979 bytes)Available download formats
    Dataset updated
    Nov 8, 2023
    Authors
    Sujay Kapadnis
    Area covered
    San Francisco
    Description

    SF Rents

    The data comes from Kate Pennington, data.sfgov.org, Vital Signs.

    If using Dr. Pennington's data, please cite:

    Pennington, Kate (2018). Bay Area Craigslist Rental Housing Posts, 2000-2018. Retrieved from https://github.com/katepennington/historic_bay_area_craigslist_housing_posts/blob/master/clean_2000_2018.csv.zip.

    Her methodology can be found at her website.

    What impact does new housing have on rents, displacement, and gentrification in the surrounding neighborhood? Read our interview with economist Kate Pennington about her article, "Does Building New Housing Cause Displacement?:The Supply and Demand Effects of Construction in San Francisco." - Kate Pennington on Gentrification and Displacement in San Francisco

    All building permits can be found at the Socrata API endpoint.

    Data Dictionary

    rent.csv

    variableclassdescription
    post_idcharacterUnique ID
    datedoubledate
    yeardoubleyear
    nhoodcharacterneighborhood
    citycharactercity
    countycharactercounty
    pricedoubleprice in USD
    bedsdoublen of beds
    bathsdoublen of baths
    sqftdoublesquare feet of rental
    room_in_aptdoubleroom in apartment
    addresscharacteraddress
    latdoublelatitude
    londoublelongitude
    titlecharactertitle of listing
    descrcharacterdescription
    detailscharacteradditional details

    sf_permits.csv

    variableclassdescription
    permit_numbercharacterpermit_number
    permit_typedoublepermit_type
    permit_type_definitioncharacterpermit_type_definition
    permit_creation_datedoublepermit_creation_date
    blockcharacterblock
    lotcharacterlot
    street_numberdoublestreet_number
    street_number_suffixcharacterstreet_number_suffix
    street_namecharacterstreet_name
    street_suffixcharacterstreet_suffix
    unitdoubleunit
    unit_suffixcharacterunit_suffix
    descriptioncharacterdescription
    statuscharacterstatus
    status_datedoublestatus_date
    filed_datedoublefiled_date
    issued_datedoubleissued_date
    completed_datedoublecompleted_date
    first_construction_document_datedoublefirst_construction_document_date
    structural_notificationcharacterstructural_notification
    number_of_existing_storiesdoublenumber_of_existing_stories
    number_of_proposed_storiesdoublenumber_of_proposed_stories
    voluntary_soft_story_retrofitcharactervoluntary_soft_story_retrofit
    fire_only_permitcharacterfire_only_permit
    permit_expiration_datedoublepermit_expiration_date
    estimated_costdoubleestimated_cost
    revised_costdoublerevised_cost
    existing_usecharacterexisting_use
    existing_units ...
  6. F

    Consumer Price Index for All Urban Consumers: Rent of Primary Residence in...

    • fred.stlouisfed.org
    json
    Updated Oct 24, 2025
    + more versions
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    (2025). Consumer Price Index for All Urban Consumers: Rent of Primary Residence in San Francisco-Oakland-Hayward, CA (CBSA) [Dataset]. https://fred.stlouisfed.org/series/CUURA422SEHA
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Oct 24, 2025
    License

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

    Area covered
    Hayward, Oakland, San Francisco, California
    Description

    Graph and download economic data for Consumer Price Index for All Urban Consumers: Rent of Primary Residence in San Francisco-Oakland-Hayward, CA (CBSA) (CUURA422SEHA) from Dec 1914 to Sep 2025 about San Francisco, primary, rent, urban, CA, consumer, CPI, inflation, price index, indexes, price, and USA.

  7. Average square footage price of housing in San Francisco Bay Area 2022, by...

    • statista.com
    Updated Jul 9, 2025
    + more versions
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    Statista (2025). Average square footage price of housing in San Francisco Bay Area 2022, by type [Dataset]. https://www.statista.com/statistics/1234783/average-sales-price-of-condos-and-single-family-homes-san-francisco-districts-per-square-foot/
    Explore at:
    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    United States (California), San Francisco Bay Area, San Francisco
    Description

    In 2022, San Mateo, San Francisco, and Santa Clara were the most expensive districts for housing in the San Francisco Bay Area. In San Francisco, the average square footage price of single-family homes exceeded 1,000 U.S. dollars per square foot. Housing in Solano, on the other hand, was most affordable, with the average square footage price for single family homes at *** U.S. dollars.

    How expensive is buying a home in San Francisco? Few metros in the U.S. are more expensive than San Francisco, CA. In 2022, the median sales price of existing single-family homes in San Francisco was about *** million U.S. dollars, making it the second priciest market in the U.S. House prices in the Golden City, were not always so high: in 2014, a two-bedroom house in the Bay Area would sell for less than ******* U.S. dollars but since then, the median price has more than doubled.

    How much does renting an apartment cost? Despite rents falling in 2020, renting in San Francisco is still far from cheap. Renting a two-bedroom apartment cost close to ***** U.S. dollars in 2021. California is one of the least affordable states for renters. In fact, to afford to rent such an apartment, a household needs approximately ***** full time jobs at minimum wage or *** full time jobs at mean wage.

  8. T

    Vital Signs: Home Prices - Bay Area (2022)

    • data.bayareametro.gov
    csv, xlsx, xml
    Updated Oct 26, 2022
    + more versions
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    (2022). Vital Signs: Home Prices - Bay Area (2022) [Dataset]. https://data.bayareametro.gov/Economy/Vital-Signs-Home-Prices-Bay-Area-2022-/2uf4-6aym
    Explore at:
    xlsx, xml, csvAvailable download formats
    Dataset updated
    Oct 26, 2022
    Area covered
    San Francisco Bay Area
    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.

  9. Bay Area, CA - Airbnb Data (UPDATED 2020)

    • kaggle.com
    zip
    Updated Sep 9, 2020
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    Ray William (2020). Bay Area, CA - Airbnb Data (UPDATED 2020) [Dataset]. https://www.kaggle.com/raywilliam/bay-area-airbnb-data-updated-2020
    Explore at:
    zip(7599107 bytes)Available download formats
    Dataset updated
    Sep 9, 2020
    Authors
    Ray William
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Area covered
    San Francisco Bay Area, California
    Description

    Context

    Since its inception in 2008, Airbnb has disrupted the hospitality industry by allowing almost anyone to rent out a spare room and host travelers looking for an overnight stay. While Airbnb has publicly available data from many locations, Santa Clara County is of particular interest as it is one of the major counties in the Bay Area and home to many prominent tech companies and startups in the Silicon Valley. As such, home prices and cost of living are exceptionally high in this area, as one will see in the data.

    Content

    All data is publicly available under the Creative Commons "Public Domain Dedication" license and has been updated as of June 12th, 2020. Provided are metrics that are publicly visible for each listing (e.g. name, description, price, reviews, etc.), but the dataset contains some Airbnb's internal metrics as well (review score accuracy, host acceptance rate, etc.).

    Acknowledgements

    Acknowledgments go to Airbnb for their publicly released datasets that are available at this website.

    Inspiration

    • Create a price-suggestion model for new Airbnb hosts who might not know the value of their listing.
    • Can we predict the rating of an Airbnb listing utilizing NLP of the description columns?
    • How have Airbnb prices changed over time? Are prices seasonal?
    • Which areas in the Santa Clara County are most "popular"?
    • Which features of an Airbnb listing are important to add to its perceived value?
  10. c

    2019 01: Where Low-Income Renters Face Eviction Due to Government Shutdown

    • opendata.mtc.ca.gov
    • hub.arcgis.com
    Updated Jan 24, 2019
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    MTC/ABAG (2019). 2019 01: Where Low-Income Renters Face Eviction Due to Government Shutdown [Dataset]. https://opendata.mtc.ca.gov/documents/4bd17826da0942878d81b32abb566c0b
    Explore at:
    Dataset updated
    Jan 24, 2019
    Dataset authored and provided by
    MTC/ABAG
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    This month's Map of the Month shows the locations and number of households that receive housing aid through a United States Department of Housing and Urban Affairs (HUD) program known as the Section 8 Project-Based Rental Assistance Program. Funding that goes to families within these households has expired or is set to expire by the end of February 2019. Under the program, rental assistance contracts provide housing aid to seniors or individuals with disabilities with average incomes typically below the federal poverty limit. Due to the government shutdown, roughly 1,150 contracts between HUD and private owners of multi-tenant buildings are in limbo across the United States. Another 500 contracts are set to expire in January, with another 550 contracts to follow in February. According to the National Low-Income Housing Coalition, should the shutdown persist into February, an estimated 1,500 Bay Area households could face the real prospect of eviction.

  11. Vital Signs: Home Prices – by metro

    • data.bayareametro.gov
    csv, xlsx, xml
    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:
    csv, xml, xlsxAvailable 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.

  12. T

    Vital Signs: Home Prices by Metro Area (2022)

    • data.bayareametro.gov
    csv, xlsx, xml
    Updated Dec 2, 2022
    + more versions
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    (2022). Vital Signs: Home Prices by Metro Area (2022) [Dataset]. https://data.bayareametro.gov/Economy/Vital-Signs-Home-Prices-by-Metro-Area-2022-/rgc5-3kcq
    Explore at:
    csv, xml, xlsxAvailable 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.

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    Learn how you can add new datasets to our index.

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Statista (2025). Median apartment rent in the San Francisco Bay Area 2023, by city [Dataset]. https://www.statista.com/statistics/806255/san-francisco-bay-area-apartment-rents-by-submarket/
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Median apartment rent in the San Francisco Bay Area 2023, by city

Explore at:
Dataset updated
Nov 29, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
May 2023
Area covered
San Francisco Bay Area, United States
Description

The median monthly apartment rental rate for a one bedroom apartment in San Francisco Bay Area was the highest in Mountain View as of May 2023, at nearly ***** U.S. dollars. The median monthly rent for a one bedroom apartment in Vallejo, on the other hand, was aproximately ***** U.S. dollars per month.

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