12 datasets found
  1. U.S. San Francisco Bay Area GDP 2001-2023

    • statista.com
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    Statista, U.S. San Francisco Bay Area GDP 2001-2023 [Dataset]. https://www.statista.com/statistics/183843/gdp-of-the-san-francisco-bay-area/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2023, the GDP of the San Francisco Bay Area amounted to ****** billion U.S. dollars, an increase from the previous year. The overall quarterly GDP growth in the United States can be found here. The GDP of the San Francisco Bay Area The San Francisco Bay Area, commonly known as the Bay Area, is a metropolitan region that surrounds the San Francisco and San Pablo estuaries in Northern California. The region encompasses metropolitan areas such as San Francisco-Oakland (12th largest in the country), San Jose (31st largest in the country), along with smaller urban and rural areas. Overall, the Bay Area consists of nine counties, *** cities, and ***** square miles. The nine counties are Alameda, Contra Costa, Marin, Napa, San Francisco, San Mateo, Santa Clara, Solano, and Sonoma. There are approximately 4.62 million people living in the metro area as of 2022. Silicon Valley In the ten year period between 2001 and 2011, the Bay Area saw steady GDP growth. Starting in 2012, it began to skyrocket. This is thanks to an economic boom in the tech sector, and high value companies headquartered in Silicon Valley - also part of the Bay Area. Silicon Valley is known as the center of the global technology industry. Companies like Google, Facebook, eBay and Apple are headquartered there. Additionally, California ranked first on a list of U.S. states by GDP, with more than **** trillion U.S. dollars in GDP in 2022.

  2. U.S. San Francisco Bay Area GDP by industry 2023

    • statista.com
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    Statista, U.S. San Francisco Bay Area GDP by industry 2023 [Dataset]. https://www.statista.com/statistics/591696/gdp-of-the-san-francisco-bay-area-by-industry/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    This graph shows the GDP of the San Francisco Bay Area in 2023, by industry. In 2023, the GDP of the San Francisco metro area amounted to about ****billion U.S. dollars. About ***billion U.S. dollars were generated in the manufacturing industries. The overall quarterly GDP growth in the United States can be found here. The San Francisco Bay Area’s GDPThe San Francisco Bay Area, commonly known as the Bay Area, is a metropolitan region that surrounds the San Francisco and San Pablo estuaries in Northern California. The region encompasses metropolitan areas such as San Francisco-Oakland (12th largest in the country), San Jose (31st largest in the country), along with smaller urban and rural areas. Overall, the Bay Area consists of nine counties, *** cities, and ***** square miles. The nine counties are Alameda, Contra Costa, Marin, Napa, San Francisco, San Mateo, Santa Clara, Solano, and Sonoma. The United States Census Bureau considers the Bay Area a Combined Statistical Area (CSA) with approximately *** million people, including the nine counties bordering San Francisco Bay as well as Santa Cruz and San Benito Counties, making it the sixth largest CSA in the United States. In the ten year period between 2001 and 2011, the Bay Area saw its GDP grow considerably. In 2001, GDP was *** billion U.S. dollars. This value rose to *** billion U.S. dollars by 2011. Additionally, California ranked first on a list of U.S. states by GDP, with *** trillion U.S. dollars of GDP in 2012. Silicon Valley, located in the Bay Area, is in great part responsible for the Bay Area’s and California’s high GDPs, as it is known as the center of the global technology industry. Companies like Google, Facebook, eBay and Apple are headquartered there.

  3. F

    Total Real Gross Domestic Product for San Francisco-Oakland-Hayward, CA...

    • fred.stlouisfed.org
    json
    Updated Dec 4, 2024
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    (2024). Total Real Gross Domestic Product for San Francisco-Oakland-Hayward, CA (MSA) [Dataset]. https://fred.stlouisfed.org/series/RGMP41860
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    jsonAvailable download formats
    Dataset updated
    Dec 4, 2024
    License

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

    Area covered
    Oakland, Hayward, San Francisco, California
    Description

    Graph and download economic data for Total Real Gross Domestic Product for San Francisco-Oakland-Hayward, CA (MSA) (RGMP41860) from 2001 to 2023 about San Francisco, CA, real, industry, GDP, and USA.

  4. Plan Bay Area 2050 Transportation Projects (Point)

    • hub.arcgis.com
    • opendata.mtc.ca.gov
    • +1more
    Updated Apr 12, 2022
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    MTC/ABAG (2022). Plan Bay Area 2050 Transportation Projects (Point) [Dataset]. https://hub.arcgis.com/datasets/78a82497600748939328b9f2836732fe
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    Dataset updated
    Apr 12, 2022
    Dataset provided by
    Association of Bay Area Governmentshttps://abag.ca.gov/
    Metropolitan Transportation Commission
    Authors
    MTC/ABAG
    License

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

    Area covered
    Description

    This feature set contains point features representing transportation investments nested within each relevant Plan Bay Area 2050 strategy. Only projects with a known location specified by the project sponsor are reflected; this data should be used solely for illustrative purposes. Project details, including the exact location of infrastructure, will be determined at a later date through project-level planning and environmental analyses. Plan Bay Area 2050 is the long-range regional plan for housing, transportation, the environment, and the economy in the San Francisco Bay Area. It was adopted by the Metropolitan Transportation Commission (MTC) and the Association of Bay Area Governments (ABAG) in October 2021.For more data representing Plan Bay Area 2050’s transportation investments, see:Plan Bay Area 2050 Transportation Projects (Line)Plan Bay Area 2050 Transportation Projects (Polygon) More information on the transportation project list may be found on the Plan Bay Area 2050 website.

  5. 2017 06: When Bay Area Cities Will Reach Plan Bay Area 2040 Housing Targets

    • opendata.mtc.ca.gov
    • hub.arcgis.com
    Updated Jun 30, 2017
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    MTC/ABAG (2017). 2017 06: When Bay Area Cities Will Reach Plan Bay Area 2040 Housing Targets [Dataset]. https://opendata.mtc.ca.gov/documents/MTC::2017-06-when-bay-area-cities-will-reach-plan-bay-area-2040-housing-targets/about
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    Dataset updated
    Jun 30, 2017
    Dataset provided by
    Metropolitan Transportation Commission
    Authors
    MTC/ABAG
    License

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

    Area covered
    San Francisco Bay Area
    Description

    On May 1, the California Department of Finance released population estimates updated through the end of year 2016, which include detailed data on housing production for the San Francisco Bay Region. While a single year is just one data point and may not necessarily be indicative of long-term trends, this data set is still useful to understand how the robust regional economy is affecting housing production trends in recent months.The June 2017 map of the month highlights how 2016 housing production compares to the annualized housing forecast from the Draft Plan Bay Area 2040 by identifying how many years it will take cities, at the current rate, to reach the year 2040 forecast. While some cities are on pace or even ahead of schedule to meet the forecast, numerous jurisdictions are way behind – many by centuries.

  6. d

    Landslide Displacement in the San Francisco Bay Region. The HayWired...

    • search.dataone.org
    • data.usgs.gov
    • +3more
    Updated Jun 1, 2017
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    Tim McCrink; Florante Perez (2017). Landslide Displacement in the San Francisco Bay Region. The HayWired Earthquake Scenario [Dataset]. https://search.dataone.org/view/f2132355-3dd5-43b7-8fc9-4c2461be113f
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    Dataset updated
    Jun 1, 2017
    Dataset provided by
    USGS Science Data Catalog
    Authors
    Tim McCrink; Florante Perez
    Time period covered
    Apr 24, 2017 - May 16, 2017
    Area covered
    Variables measured
    dc_cm
    Description

    This map shows the potential of widespread slope failures, in terms of Newmark displacement (measured in centimeters), triggered by a M7.0 scenario earthquake on the Hayward Fault in the 10-county area surrounding the San Francisco Bay region, California. The cumulative downslope displacement of hillslopes is calculated using a simplified Newmark rigid sliding block slope stability model utilizing four primary datasets: a regional-scale geologic map of the study area, geologic strength parameters compiled as part of the California Geological Survey Seismic Hazard Mapping Program, earthquake shaking data from the USGS ShakeMap developed for this scenario, and 10-meter digital elevation data from the USGS 2009 National Elevation Dataset.The seismic-landslide hazard potential map covers the counties of Alameda, Contra Costa, Marin, Napa, San Francisco, San Mateo, Santa Clara, Santa Cruz, Solano, and Sonoma. The slope failures are triggered by a hypothetical earthquake with a moment magnitude of 7.0 occurring on April 18, 2018, at 4:18 p.m. on the Hayward Fault in the east bay part of California’s San Francisco Bay region.

  7. U.S. San Jose-Sunnyvale-Santa Clara metro area GDP 2001-2023

    • statista.com
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    Statista, U.S. San Jose-Sunnyvale-Santa Clara metro area GDP 2001-2023 [Dataset]. https://www.statista.com/statistics/183886/gdp-of-the-san-jose-sunnyvale-santa-clara-metro-area/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2023, the gross domestic product (GDP) of the San Jose-Sunnyvale-Santa Clara metro area amounted to roughly ****** billion U.S. dollars. This was an increase from the previous year when the real GDP came to ****** billion U.S. dollars. San Jose is the third-largest city in California, the tenth-largest in the U.S., and the county seat of Santa Clara County. It is located at the southern end of San Francisco Bay. The San Jose-Sunnyvale-Santa Clara metro area had a population of around **** in 2021.

  8. d

    Landslide Probability in the San Francisco Bay Region. The Haywired...

    • dataone.org
    • data.usgs.gov
    • +4more
    Updated Jun 1, 2017
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    Tim McCrink; Florante Perez (2017). Landslide Probability in the San Francisco Bay Region. The Haywired Earthquake Scenario [Dataset]. https://dataone.org/datasets/819c1b53-1d57-41b2-aac5-4218274251ac
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    Dataset updated
    Jun 1, 2017
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Tim McCrink; Florante Perez
    Time period covered
    Apr 24, 2017 - May 16, 2017
    Area covered
    Variables measured
    pf
    Description

    This map shows the potential of widespread slope failures, in terms of landslide probability, triggered by a M7.0 scenario earthquake on the Hayward Fault in the 10-county area surrounding the San Francisco Bay region, California. The likelihood of landsliding was evaluated using an equation developed by Jibson and others (2000) that estimates landslide probability as a function of predicted Newmark displacement. Based on this equation, four landslide probability categories are established with their corresponding percent likelihood and displacement ranges: Low (0-2%; 0-1 cm), Moderate (2-15%; 1-5 cm), High (15-32%; 5-15 cm), and Very High (>32%; >15 cm).The seismic-landslide probability map covers the counties of Alameda, Contra Costa, Marin, Napa, San Francisco, San Mateo, Santa Clara, Santa Cruz, Solano, and Sonoma. The slope failures are triggered by a hypothetical earthquake with a moment magnitude of 7.0 occurring on April 18, 2018, at 4:18 p.m. on the Hayward Fault in the east bay part of California’s San Francisco Bay region.

  9. D

    Registered Business Locations - San Francisco

    • data.sfgov.org
    • s.cnmilf.com
    • +2more
    Updated Nov 27, 2025
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    City and County of San Francisco (2025). Registered Business Locations - San Francisco [Dataset]. https://data.sfgov.org/widgets/g8m3-pdis
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    application/geo+json, kmz, kml, xml, xlsx, csvAvailable download formats
    Dataset updated
    Nov 27, 2025
    Dataset authored and provided by
    City and County of San Francisco
    License

    ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
    License information was derived automatically

    Area covered
    San Francisco
    Description

    NEW!: Use the new Business Account Number lookup tool.

    SUMMARY This dataset includes the locations of businesses that pay taxes to the City and County of San Francisco. Each registered business may have multiple locations and each location is a single row. The Treasurer & Tax Collector’s Office collects this data through business registration applications, account update/closure forms, and taxpayer filings. Business locations marked as “Administratively Closed” have not filed or communicated with TTX for 3 years, or were marked as closed following a notification from another City and County Department.

    The data is collected to help enforce the Business and Tax Regulations Code including, but not limited to: Article 6, Article 12, Article 12-A, and Article 12-A-1. http://sftreasurer.org/registration.

    HOW TO USE THIS DATASET

  10. System migration in 2014: When the City transitioned to a new system in 2014, only active business accounts were migrated. As a result, any businesses that had already closed by that point were not included in the current dataset.
  11. 2018 account cleanup: In 2018, TTX did a major cleanup of dormant and unresponsive accounts and closed approximately 40,000 inactive businesses.

    To learn more about using this dataset watch this video. To update your listing or look up your BAN see this FAQ: Registered Business Locations Explainer

  • T

    Vital Signs: Airport Activity (Freight) – Bay Area (2022)

    • data.bayareametro.gov
    csv, xlsx, xml
    Updated Jul 7, 2022
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    (2022). Vital Signs: Airport Activity (Freight) – Bay Area (2022) [Dataset]. https://data.bayareametro.gov/Economy/Vital-Signs-Airport-Activity-Freight-Bay-Area-2022/gd4g-rbqn
    Explore at:
    xlsx, xml, csvAvailable download formats
    Dataset updated
    Jul 7, 2022
    Area covered
    San Francisco Bay Area
    Description

    VITAL SIGNS INDICATOR
    Airport Activity (EC17)

    FULL MEASURE NAME
    Enplanements or tonnage at airports

    LAST UPDATED
    August 2022

    DESCRIPTION
    Airport activity refers to the number of passenger boardings at Bay Area commercial airports and to the quantity of goods – measured in tons – that arrive in the region as air cargo.

    DATA SOURCE
    United States Department of Transportation, Bureau of Transportation Statistics, Air Carriers : T-100 Segment - https://www.transtats.bts.gov/DL_SelectFields.aspx?gnoyr_VQ=FMG&QO_fu146_anzr=Nv4%20Pn44vr45
    1990-2021 (October)

    CONTACT INFORMATION
    vitalsigns.info@bayareametro.gov

    METHODOLOGY NOTES (across all datasets for this indicator)
    Freight data is reported in metric tons. Regional Bay Area airports include Oakland (OAK), San Francisco (SFO), San Jose (SJC), and Santa Rosa (STS).

  • T

    Unemployment Rate by Metro Area (2022) DRAFT

    • data.bayareametro.gov
    csv, xlsx, xml
    Updated Dec 5, 2022
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    (2022). Unemployment Rate by Metro Area (2022) DRAFT [Dataset]. https://data.bayareametro.gov/Economy/Unemployment-Rate-by-Metro-Area-2022-DRAFT/2ywy-pwxn
    Explore at:
    xlsx, xml, csvAvailable download formats
    Dataset updated
    Dec 5, 2022
    Description

    VITAL SIGNS INDICATOR
    Unemployment (EC3)

    FULL MEASURE NAME
    Unemployment rate by residential location

    LAST UPDATED
    December 2022

    DESCRIPTION
    Unemployment refers to the share of the labor force – by place of residence – that is not currently employed full-time or part-time. The unemployment rate reflects the strength of the overall employment market.

    DATA SOURCE
    California Employment Development Department: Historical Unemployment Rates
    1990-2010
    Spreadsheet provided by CAEDD

    California Employment Development Department: Labor Force and Unemployment Rate for California Sub-County Areas - https://data.edd.ca.gov/Labor-Force-and-Unemployment-Rates/Labor-Force-and-Unemployment-Rate-for-California-S/8z4h-2ak6
    2010-2022

    California Employment Development Department: Local Area Unemployment Statistics (LAUS) - https://data.edd.ca.gov/Labor-Force-and-Unemployment-Rates/Local-Area-Unemployment-Statistics-LAUS-/e6gw-gvii
    1990-2022

    U.S. Bureau of Labor Statistics: Local Area Unemployment Statistics (LAUS) - https://download.bls.gov/pub/time.series/la
    1990-2021

    CONTACT INFORMATION
    vitalsigns.info@bayareametro.gov

    METHODOLOGY NOTES (across all datasets for this indicator)
    Unemployment rates produced by the CA Employment Development Department (EDD) for the region and county levels are not adjusted for seasonality (as they reflect annual data) and are final data (i.e., not preliminary). Unemployment rates produced by U.S. Bureau of Labor Statistics (BLS) for the metro regions are annual and not adjusted for seasonality; they reflect the primary metropolitan statistical area (MSA) for the named region, except for the San Francisco Bay Area which uses the nine-county region. The unemployment rate is calculated based on the number of unemployed persons divided by the total labor force. Note that the unemployment rate can decline or increase as a result of changes in either variable.

  • T

    Vital Signs: Jobs by Industry (Location Quotient) by County (2022)

    • data.bayareametro.gov
    csv, xlsx, xml
    Updated Dec 14, 2022
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    (2022). Vital Signs: Jobs by Industry (Location Quotient) by County (2022) [Dataset]. https://data.bayareametro.gov/Economy/Vital-Signs-Jobs-by-Industry-Location-Quotient-by-/uijm-ykyx
    Explore at:
    xlsx, csv, xmlAvailable download formats
    Dataset updated
    Dec 14, 2022
    Description

    VITAL SIGNS INDICATOR
    Jobs by Industry (EC1)

    FULL MEASURE NAME
    Employment by place of work by industry sector

    LAST UPDATED
    December 2022

    DESCRIPTION
    Jobs by industry refers to both the change in employment levels by industry and the proportional mix of jobs by economic sector. This measure reflects the changing industry trends that affect our region’s workers.

    DATA SOURCE
    Bureau of Labor Statistics, Quarterly Census of Employment and Wages (QCEW) - https://www.bls.gov/cew/downloadable-data-files.htm
    1990-2021

    CONTACT INFORMATION
    vitalsigns.info@bayareametro.gov

    METHODOLOGY NOTES (across all datasets for this indicator)
    Quarterly Census of Employment and Wages (QCEW) employment data is reported by the place of work and represent the number of covered workers who worked during, or received pay for, the pay period that included the 12th day of the month. Covered employees in the private-sector and in the state and local government include most corporate officials, all executives, all supervisory personnel, all professionals, all clerical workers, many farmworkers, all wage earners, all piece workers and all part-time workers. Workers on paid sick leave, paid holiday, paid vacation and the like are also covered.

    Besides excluding the aforementioned national security agencies, QCEW excludes proprietors, the unincorporated self-employed, unpaid family members, certain farm and domestic workers exempted from having to report employment data and railroad workers covered by the railroad unemployment insurance system. Excluded as well are workers who earned no wages during the entire applicable pay period because of work stoppages, temporary layoffs, illness or unpaid vacations.

    The location quotient (LQ) is used to evaluate level of concentration or clustering of an industry within the Bay Area and within each county of the region. A location quotient greater than 1 means there is a strong concentration for of jobs in an industry sector. For the Bay Area, the LQ is calculated as the share of the region’s employment in a particular sector divided by the share of California's employment in that same sector. For each county, the LQ is calculated as the share of the county’s employment in a particular sector divided by the share of the region’s employment in that same sector.

    Data is mainly pulled from aggregation level 73, which is county-level summarized at the North American Industry Classification System (NAICS) supersector level (12 sectors). This aggregation level exhibits the least loss due to data suppression, in the magnitude of 1-2 percent for regional employment, and is therefore preferred. However, the supersectors group together NAICS 11 Agriculture, Forestry, Fishing and Hunting; NAICS 21 Mining and NAICS 23 Construction. To provide a separate tally of Agriculture, Forestry, Fishing and Hunting, the aggregation level 74 data was used for NAICS codes 11, 21 and 23.

    QCEW reports on employment in Public Administration as NAICS 92. However, many government activities are reported with an industry specific code - such as transportation or utilities even if those may be public governmental entities. In 2021 for the Bay Area, the largest industry groupings under public ownership are Education and health services (58%); Public administration (29%) and Trade, transportation, and utilities (29%). With the exception of Education and health services, all other public activities were coded as government/public administration, regardless of industry group.

    For the county data there were some industries that reported 0 jobs or did not report jobs at the desired aggregation/NAICS level for the following counties/years:

    Farm:
    (aggregation level: 74, NAICS code: 11) - Contra Costa: 2008-2010 - Marin: 1990-2006, 2008-2010, 2014-2020 - Napa: 1990-2004, 2013-2021 - San Francisco: 2019-2020 - San Mateo: 2013

    Information:
    (aggregation level: 73, NAICS code: 51) - Solano: 2001

    Financial Activities:
    (aggregation level: 73, NAICS codes: 52, 53) - Solano: 2001

    Unclassified:
    (aggregation level: 73, NAICS code: 99) - All nine Bay Area counties: 1990-2000 - Marin, Napa, San Mateo, and Solano: 2020 - Napa: 2019 - Solano: 2001

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    Statista, U.S. San Francisco Bay Area GDP 2001-2023 [Dataset]. https://www.statista.com/statistics/183843/gdp-of-the-san-francisco-bay-area/
    Organization logo

    U.S. San Francisco Bay Area GDP 2001-2023

    Explore at:
    2 scholarly articles cite this dataset (View in Google Scholar)
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2023, the GDP of the San Francisco Bay Area amounted to ****** billion U.S. dollars, an increase from the previous year. The overall quarterly GDP growth in the United States can be found here. The GDP of the San Francisco Bay Area The San Francisco Bay Area, commonly known as the Bay Area, is a metropolitan region that surrounds the San Francisco and San Pablo estuaries in Northern California. The region encompasses metropolitan areas such as San Francisco-Oakland (12th largest in the country), San Jose (31st largest in the country), along with smaller urban and rural areas. Overall, the Bay Area consists of nine counties, *** cities, and ***** square miles. The nine counties are Alameda, Contra Costa, Marin, Napa, San Francisco, San Mateo, Santa Clara, Solano, and Sonoma. There are approximately 4.62 million people living in the metro area as of 2022. Silicon Valley In the ten year period between 2001 and 2011, the Bay Area saw steady GDP growth. Starting in 2012, it began to skyrocket. This is thanks to an economic boom in the tech sector, and high value companies headquartered in Silicon Valley - also part of the Bay Area. Silicon Valley is known as the center of the global technology industry. Companies like Google, Facebook, eBay and Apple are headquartered there. Additionally, California ranked first on a list of U.S. states by GDP, with more than **** trillion U.S. dollars in GDP in 2022.

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