The population count of Santa Clara County, CA was 1,911,226 in 2017.

Population

Population Change

Above charts are based on data from the U.S. Census American Community Survey | ODN Dataset | API - Notes:

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Demographics and Population Datasets Involving Santa Clara County, CA

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    Equal Employment Opportunity

    data.sccgov.org | Last Updated 2018-07-23T19:27:43.000Z

    The County of Santa Clara provides the services that hold the fabric of our society together. While cities in California primarily exist to protect property, counties exist to protect people and the community in which they live.

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    2010 Census/ACS Basic Block Group Data

    data.kcmo.org | Last Updated 2013-02-08T20:03:40.000Z

    basic characteristics of people and housing for individual 2010 census block groups

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    Concentrations of Protected Classes from Analysis of Impediments

    data.austintexas.gov | Last Updated 2019-07-29T17:26:04.000Z

    A new component of fair housing studies is an analysis of the opportunities residents are afforded in “racially or ethnically concentrated areas of poverty,” also called RCAPs or ECAPs. An RCAP or ECAP is a neighborhood with significant concentrations of extreme poverty and minority populations. HUD’s definition of an RCAP/ECAP is: • A Census tract that has a non‐white population of 50 percent or more AND a poverty rate of 40 percent or more; OR • A Census tract that has a non‐white population of 50 percent or more AND the poverty rate is three times the average tract poverty rate for the metro/micro area, whichever is lower. Why the 40 percent threshold? The RCAP/ECAP definition is not meant to suggest that a slightly‐lower‐than‐40 percent poverty rate is ideal or acceptable. The threshold was borne out of research that concluded a 40 percent poverty rate was the point at which a neighborhood became significantly socially and economically challenged. Conversely, research has shown that areas with up to 14 percent of poverty have no noticeable effect on community opportunity. (See Section II in City of Austin’s 2015 Analysis of Impediments to Fair Housing Choice: http://www.austintexas.gov/sites/default/files/files/NHCD/Reports_Publications/1Analysis_Impediments_for_web.pdf) This dataset provides socioeconomic data on protected classes from the 2008-2012 American Community Survey on census tracts in Austin’s city limits and designates which of those tracts are considered RCAPs or ECAPs based on these socioeconomic characteristics. A map of the census tracts designated as RCAPs or ECAPs is attached to this dataset and downloadable as a pdf (see below).

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    2010 Census/ACS Basic Census Tract Data

    data.kcmo.org | Last Updated 2019-04-19T19:05:00.000Z

    basic characteristics of people and housing for individual 2010 census tract portions inside or outside KCMO

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    2010 Census/ACS Basic Census Tract Data

    data.kcmo.org | Last Updated 2014-06-10T19:42:31.000Z

    basic characteristics of people and housing for individual 2010 census tract portions inside or outside KCMO

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    2010 Census/ACS Basic Block Group Data

    data.kcmo.org | Last Updated 2014-06-10T19:28:50.000Z

    basic characteristics of people and housing for individual 2010 census block groups

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    2010 Census/ACS Basic Block Group Data

    data.kcmo.org | Last Updated 2019-04-19T18:51:48.000Z

    basic characteristics of people and housing for individual 2010 census block groups

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    2010 Census/ACS Detailed Block Group Data

    data.kcmo.org | Last Updated 2013-02-08T20:10:26.000Z

    detailed characteristics of people and housing for individual 2010 census block groups

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    2010 Census/ACS Detailed Block Group Data

    data.kcmo.org | Last Updated 2014-06-10T19:34:03.000Z

    detailed characteristics of people and housing for individual 2010 census block groups

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    Vital Signs: Income (Median by Place of Residence) – Bay Area

    data.bayareametro.gov | Last Updated 2019-08-13T16:17:34.000Z

    VITAL SIGNS INDICATOR Income (EC4) FULL MEASURE NAME Household income by place of residence LAST UPDATED May 2019 DESCRIPTION Income reflects the median earnings of individuals and households from employment, as well as the income distribution by quintile. Income data highlight how employees are being compensated for their work on an inflation-adjusted basis. DATA SOURCE U.S. Census Bureau: Decennial Census Count 4Pb (1970) Form STF3 (1980-1990) Form SF3a (2000) https://nhgis.org U.S. Census Bureau: American Community Survey Form B19013 (2006-2017; place of residence) http://api.census.gov Bureau of Labor Statistics: Consumer Price Index All Urban Consumers Data Table (1970-2017; specific to each metro area) http://data.bls.gov CONTACT INFORMATION vitalsigns.info@bayareametro.gov METHODOLOGY NOTES (across all datasets for this indicator) Income data reported in a given year reflects the income earned in the prior year (decennial Census) or in the prior 12 months (American Community Survey); note that this inconsistency has a minor effect on historical comparisons (for more information, go to: http://www.census.gov/acs/www/Downloads/methodology/ASA_nelson.pdf). American Community Survey 1-year data is used for larger geographies – metropolitan areas and counties – while smaller geographies rely upon 5-year rolling average data due to their smaller sample sizes. Quintile income for 1970-2000 is imputed from Decennial Census data using methodology from the California Department of Finance (for more information, go to: http://www.dof.ca.gov/Forecasting/Demographics/Census_Data_Center_Network/documents/How_to_Recalculate_a_Median.pdf). Bay Area income is the population weighted average of county-level income. Income has been inflated using the Consumer Price Index specific to each metro area; however, some metro areas lack metro-specific CPI data back to 1970 and therefore adjusted data is unavailable for some historical data points. Note that current MSA boundaries were used for historical comparison by identifying counties included in today’s metro areas.