8 datasets found
  1. 2017 01: How Large Are Incomes in Each U.S. County Compared to the Value of...

    • opendata.mtc.ca.gov
    Updated Jan 28, 2017
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    MTC/ABAG (2017). 2017 01: How Large Are Incomes in Each U.S. County Compared to the Value of the Homes? [Dataset]. https://opendata.mtc.ca.gov/documents/MTC::2017-01-how-large-are-incomes-in-each-u-s-county-compared-to-the-value-of-the-homes/about
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    Dataset updated
    Jan 28, 2017
    Dataset provided by
    Metropolitan Transportation Commission
    Authors
    MTC/ABAG
    License

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

    Area covered
    United States
    Description

    The San Francisco Bay Region, not surprisingly, has some of the least affordable housing in the country – both in absolute terms, and in terms relative to income. In San Francisco proper, the median home value is $800,000 with a median income of $81,000, giving a price-to-income ratio of nearly 10 to 1. In Marin County, the median home value is $815,000 with a median income of $93,000. This ratio is 8.8 times the median income of the county. In Silicon Valley, housing is still pricey, but many people are able to make up for it with higher incomes: San Mateo County has a ratio of 8.3, and Santa Clara County has a ratio of 7.3.

  2. Resident population in California 1960-2023

    • statista.com
    Updated Jun 23, 2025
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    Statista (2025). Resident population in California 1960-2023 [Dataset]. https://www.statista.com/statistics/206097/resident-population-in-california/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    California, United States
    Description

    In 2023, the resident population of California was ***** million. This is a slight decrease from the previous year, with ***** million people in 2022. This makes it the most populous state in the U.S. Californian demographics Along with an increase in population, California’s gross domestic product (GDP) has also been increasing, from *** trillion U.S. dollars in 2000 to **** trillion U.S. dollars in 2023. In the same time period, the per-capita personal income has almost doubled, from ****** U.S. dollars in 2000 to ****** U.S. dollars in 2022. In 2023, the majority of California’s resident population was Hispanic or Latino, although the number of white residents followed as a close second, with Asian residents making up the third-largest demographic in the state. The dark side of the Golden State While California is one of the most well-known states in the U.S., is home to Silicon Valley, and one of the states where personal income has been increasing over the past 20 years, not everyone in California is so lucky: In 2023, the poverty rate in California was about ** percent, and the state had the fifth-highest rate of homelessness in the country during that same year, with an estimated ** homeless people per 10,000 of the population.

  3. Silicon Valley Diversity Data

    • kaggle.com
    zip
    Updated Jun 27, 2018
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    Rachael Tatman (2018). Silicon Valley Diversity Data [Dataset]. https://www.kaggle.com/rtatman/silicon-valley-diversity-data
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    zip(62691 bytes)Available download formats
    Dataset updated
    Jun 27, 2018
    Authors
    Rachael Tatman
    License

    http://opendatacommons.org/licenses/dbcl/1.0/http://opendatacommons.org/licenses/dbcl/1.0/

    Description

    Context

    There has been a lot of discussion of the ways in which the workforce for Silicon Valley tech companies differs from that of the United States as a whole. In particular, a lot of evidence suggests that tech workers (who tend to be more highly paid than workers in many other professions) are more likely to be white and male. This dataset will allow you to investigate the demographics for 23 Silicon Valley tech companies for yourself.

    Updates!

    NEW June 2018: The spreadsheet Distributions_data_2016.csv contains workforce distributions by job category and race for 177 of the largest tech companies headquartered in Silicon Valley.

    Each figure in the dataset represents the percentage of each job category that is made up of employees with a given race/gender combination, and are based on each company's EEO-1 report.

    This dataset was created through a unique collaboration with the Center for Employment Equity and Reveal. The equity center provided Reveal with anonymized data for 177 large companies, and Reveal identified companies that have publicly released their data in this anonymized dataset. The equity center and Reveal analyzed the data independently.

    For more information on the data, read our post here.

    The spreadsheet Reveal_EEO1_for_2016.csv has been updated to include EEO-1s from companies PayPal, NetApp and Sanmina for 2016. The race and job categories have been modified to ensure consistency across all the datasets.

    NEW April 2018: The spreadsheet Tech_sector_diversity_demographics_2016.csv contains aggregated diversity data for 177 large Silicon Valley tech companies. We calculated averages for the largest race and gender groups across job categories. For information on the aggregated data, read our post here.

    This repository also contains EEO-1 reports filed by Silicon Valley tech companies. Please read our complete methodology for details on this data.

    The data was compiled by Reveal from The Center for Investigative Reporting.

    Contents

    This database contains EEO-1 reports filed by Silicon Valley tech companies. It was compiled by Reveal from The Center for Investigative Reporting.

    There are six columns in this dataset:

    • company: Company name
    • year: For now, 2016 only
    • race: Possible values: "American_Indian_Alaskan_Native", "Asian", "Black_or_African_American", "Latino", "Native_Hawaiian_or_Pacific_Islander", "Two_or_more_races", "White", "Overall_totals"
    • gender: Possible values: "male", "female". Non-binary gender is not counted in EEO-1 reports.
    • job_category: Possible values: "Administrative support", "Craft workers", "Executive/Senior officials & Mgrs", "First/Mid officials & Mgrs", "laborers and helpers", "operatives", "Professionals", "Sales workers", "Service workers", "Technicians", "Previous_totals", "Totals"
    • count: Mostly integer values, but contains "na" for a no-data variable.

    Acknowledgements:

    The EEO-1 database is licensed under the Open Database License (ODbL) by Reveal from The Center for Investigative Reporting.

    You are free to copy, distribute, transmit and adapt the spreadsheet, so long as you:

    • credit Reveal (including this link if it’s distributed online);
    • inform Reveal that you are using the data in your work by emailing Sinduja Rangarajan at srangarajan@revealnews.org; and
    • offer any new work under the same license.

    Inspiration:

  4. F

    Resident Population in San Jose-Sunnyvale-Santa Clara, CA (MSA)

    • fred.stlouisfed.org
    json
    Updated Mar 14, 2025
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    (2025). Resident Population in San Jose-Sunnyvale-Santa Clara, CA (MSA) [Dataset]. https://fred.stlouisfed.org/series/SSCPOP
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    jsonAvailable download formats
    Dataset updated
    Mar 14, 2025
    License

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

    Area covered
    San Jose, Sunnyvale, California
    Description

    Graph and download economic data for Resident Population in San Jose-Sunnyvale-Santa Clara, CA (MSA) (SSCPOP) from 2000 to 2024 about San Jose, residents, CA, population, and USA.

  5. Population in the states of the U.S. 2024

    • akomarchitects.com
    • statista.com
    Updated Jul 31, 2025
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    Statista Research Department (2025). Population in the states of the U.S. 2024 [Dataset]. https://www.akomarchitects.com/?p=2437241
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    Dataset updated
    Jul 31, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    United States
    Description

    California was the state with the highest resident population in the United States in 2024, with 39.43 million people. Wyoming had the lowest population with about 590,000 residents. Living the American Dream Ever since the opening of the West in the United States, California has represented the American Dream for both Americans and immigrants to the U.S. The warm weather, appeal of Hollywood and Silicon Valley, as well as cities that stick in the imagination such as San Francisco and Los Angeles, help to encourage people to move to California. Californian demographics California is an extremely diverse state, as no one ethnicity is in the majority. Additionally, it has the highest percentage of foreign-born residents in the United States. By 2040, the population of California is expected to increase by almost 10 million residents, which goes to show that its appeal, both in reality and the imagination, is going nowhere fast.

  6. d

    Crime in Boomburb Cities: 1970-2004 [United States]

    • catalog.data.gov
    • datasets.ai
    • +1more
    Updated Nov 14, 2025
    + more versions
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    National Institute of Justice (2025). Crime in Boomburb Cities: 1970-2004 [United States] [Dataset]. https://catalog.data.gov/dataset/crime-in-boomburb-cities-1970-2004-united-states-15018
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    Dataset updated
    Nov 14, 2025
    Dataset provided by
    National Institute of Justice
    Area covered
    United States
    Description

    This study focused on the effect of economic resources and racial/ethnic composition on the change in crime rates from 1970-2004 in United States cities in metropolitan areas that experienced a large growth in population after World War II. A total of 352 cities in the following United States metropolitan areas were selected for this study: Atlanta, Dallas, Denver, Houston, Las Vegas, Miami, Orange County, Orlando, Phoenix, Riverside, San Bernardino, San Diego, Silicon Valley (Santa Clara), and Tampa/St. Petersburg. Selection was based on the fact that these areas developed during a similar time period and followed comparable development trajectories. In particular, these 14 areas, known as the "boomburbs" for their dramatic, post-World War II population growth, all faced issues relating to the rapid growth of tract-style housing and the subsequent development of low density, urban sprawls. The study combined place-level data obtained from the United States Census with crime data from the Uniform Crime Reports for five categories of Type I crimes: aggravated assaults, robberies, murders, burglaries, and motor vehicle thefts. The dataset contains a total of 247 variables pertaining to crime, economic resources, and race/ethnic composition.

  7. Population of Shenzhen in China 1995-2035

    • statista.com
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    Statista, Population of Shenzhen in China 1995-2035 [Dataset]. https://www.statista.com/statistics/466986/china-population-of-shenzhen/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    1995 - 2010
    Area covered
    China
    Description

    Shenzhen is one of the fastest growing cities in China. Based on estimates, the population of Shenzhen is expected to reach over ** million by 2035. This rapidly growing city is attracting an increasing number of young Chinese, who want to start and grow their careers.

    Development history of Shenzhen 

    Shenzhen is located next to Hong Kong, one of the key financial and business centers of the world.  The city has a short history - Shenzhen wasn’t technically a city until 1979. Now, it is home to the largest economy in China’s Greater Bay Area, surpassing its neighbor Hong Kong. Shenzhen is also called China’s Silicon Valley, since many China’s tech-giants are headquartered there. As a rising financial center, Shenzhen also hosts one of the two Stock Exchanges in Mainland China. The headquarter of China’s leading insurance company Ping An Insurance is in Shenzhen as well.

    Immigration to Shenzhen 

    Enticed by its fast-developing economy, people from across the whole country have relocated to Shenzhen to take their chances at new job and life opportunities. In its 40-year development, countless migrant workers have contributed to this city’s construction projects and labor-intensive manufacturing production. Many young graduates have found it easier to find a job in Shenzhen compared to other first-tier cities. Promotion opportunities have attracted top talent in many sectors to come to this city. Accordingly, with the rise of population, the cost of housing in Shenzhen has also seen a drastic increase.

  8. 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/
    Explore at:
    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.

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    Learn how you can add new datasets to our index.

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MTC/ABAG (2017). 2017 01: How Large Are Incomes in Each U.S. County Compared to the Value of the Homes? [Dataset]. https://opendata.mtc.ca.gov/documents/MTC::2017-01-how-large-are-incomes-in-each-u-s-county-compared-to-the-value-of-the-homes/about
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2017 01: How Large Are Incomes in Each U.S. County Compared to the Value of the Homes?

Explore at:
Dataset updated
Jan 28, 2017
Dataset provided by
Metropolitan Transportation Commission
Authors
MTC/ABAG
License

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

Area covered
United States
Description

The San Francisco Bay Region, not surprisingly, has some of the least affordable housing in the country – both in absolute terms, and in terms relative to income. In San Francisco proper, the median home value is $800,000 with a median income of $81,000, giving a price-to-income ratio of nearly 10 to 1. In Marin County, the median home value is $815,000 with a median income of $93,000. This ratio is 8.8 times the median income of the county. In Silicon Valley, housing is still pricey, but many people are able to make up for it with higher incomes: San Mateo County has a ratio of 8.3, and Santa Clara County has a ratio of 7.3.

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