5 datasets found
  1. a

    Population Density GIS

    • hub.arcgis.com
    • data-sccphd.opendata.arcgis.com
    Updated Aug 24, 2022
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    Santa Clara County Public Health (2022). Population Density GIS [Dataset]. https://hub.arcgis.com/datasets/ea6103fd5a8d461ea4305a7b26334aae
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    Dataset updated
    Aug 24, 2022
    Dataset authored and provided by
    Santa Clara County Public Health
    License

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

    Description

    Table contains total population and population density summarized at county, city, zip code, and census tract level. Population density is defined as number of people residing per square mile of area. Data are presented for zip codes (ZCTAs) fully within the county. Source: U.S. Census Bureau, 2016-2020 American Community Survey 5-year estimates, Table B01001; data accessed on April 11, 2022 from https://api.census.gov. The 2020 Decennial geographies are used for data summarization.METADATA:notes (String): Lists table title, notes, sourcesgeolevel (String): Level of geographyGEOID (String): Geography IDNAME (String): Name of geographyt_pop (Numeric): Total populationpop_density (Numeric): Area in square milesarea (Numeric): Population density

  2. a

    Live Birth Counts at Zipcode Level

    • hub.arcgis.com
    • data-sccphd.opendata.arcgis.com
    Updated Feb 21, 2018
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    Santa Clara County Public Health (2018). Live Birth Counts at Zipcode Level [Dataset]. https://hub.arcgis.com/maps/sccphd::live-birth-counts-at-zipcode-level
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    Dataset updated
    Feb 21, 2018
    Dataset authored and provided by
    Santa Clara County Public Health
    License

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

    Description

    Count of live births represents births to Santa Clara County residents. The measure is summarized for total county population at zip code level. Data trends are from year 2004 to 2013.METADATA:Notes (String): Lists table title, notes, sourcesYear (Numeric): Year of birthZip code (Numeric): Lists zip codes. U.S. Census Bureau, 2000 ZCTA geographies are used.Count (Numeric): Number of live births in a year in the area. Birth count less than 6 in a year in the area are not presented.

  3. a

    Demographic Statistics - Zip Code

    • hub.arcgis.com
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    Updated Feb 21, 2018
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    Santa Clara County Public Health (2018). Demographic Statistics - Zip Code [Dataset]. https://hub.arcgis.com/maps/sccphd::demographic-statistics-zip-code
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    Dataset updated
    Feb 21, 2018
    Dataset authored and provided by
    Santa Clara County Public Health
    License

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

    Area covered
    Description

    Zip Code; Population Size; African American; Asian/Pacific Islander; Latino; White; Foreign-born; Speaks a language other than English at home; Single parent households; Households with children; Average household size; 0-5 years; 6-11 years; 12-17 years; 18-24 years; 25-34 years; 35-44 years; 45-54 years; 55-64 years; Ages 65 and older; Ages 17 and younger. Percentages unless otherwise noted. Source information provided at: https://www.sccgov.org/sites/phd/hi/hd/Documents/City%20Profiles/Methodology/Neighborhood%20profile%20methodology_082914%20final%20for%20web.pdf

  4. Teen Birth Rates by Zip Code

    • data-sccphd.opendata.arcgis.com
    • hub.arcgis.com
    Updated Feb 22, 2018
    + more versions
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    Santa Clara County Public Health (2018). Teen Birth Rates by Zip Code [Dataset]. https://data-sccphd.opendata.arcgis.com/datasets/teen-birth-rates-by-zip-code
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    Dataset updated
    Feb 22, 2018
    Dataset provided by
    Santa Clara County Public Health Departmenthttps://publichealth.sccgov.org/
    Authors
    Santa Clara County Public Health
    License

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

    Area covered
    Earth
    Description

    Teenage birth rate is number of live births among females ages 15 to 19 years per 1,000 females in that age group in a year. Data are for Santa Clara County residents. The measure is summarized for total county population by mother's zip code of residence at the time of birth. Data are presented for pooled years combined and are available for three time periods. Source: Santa Clara County Public Health Department, 2000-2015 Birth Statistical Master File; U.S. Census Bureau, 2010 Census.METADATA:Notes (String): Lists table title, notes, sourcesTime_period (String): Year of birth. Pooled data years are presented to meet the minimum data requirements.Zip_code (Numeric): Lists the mother's zip code of residence.Age_group (String): Lists the age of mother at the time of birth: 15 to 19 years.Birth_count females 15-19 (Numeric): Number of live births to mothers ages 15 to 19 years at the time of birth in a year. Birth count less than 6 in a year in the area are not presented.Rate per 1,000 females ages 15-19 (Numeric): Teen birth rate is number of live births to mothers ages 15 to 19 years at the time of birth per 1,000 females in that age group in a year. Rate based on birth count less than 6 in a year in the area are not presented.

  5. a

    Diabetes Prevalence GIS

    • hub.arcgis.com
    • data-sccphd.opendata.arcgis.com
    Updated Aug 24, 2022
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    Santa Clara County Public Health (2022). Diabetes Prevalence GIS [Dataset]. https://hub.arcgis.com/maps/sccphd::diabetes-prevalence-gis
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    Dataset updated
    Aug 24, 2022
    Dataset authored and provided by
    Santa Clara County Public Health
    License

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

    Description

    Table contains estimated percentage of adults ages 18 years and older who reported ever being diagnosed with diabetes by a healthcare provider. Data are presented at zip code level. Data are downloaded from the AskCHIS Neighborhood Edition and are not direct estimates. For more information on the methodology used to calculate estimates, please visit healthpolicy.ucla.edu. Data for zip code 95053 are not available. Source: California Health Interview Survey, AskCHIS Neighborhood Edition, 2018 CHIS data. Exported on June 1, 2022.METADATA:notes (String): Lists table title, notes, sourceszip_code (Numeric): Geography IDestimate (Numeric): Estimate of adults with diabetesunit (String): Unit used for the estimate (Percent)CI (Numeric): 95% confidence interval for the estimate

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Santa Clara County Public Health (2022). Population Density GIS [Dataset]. https://hub.arcgis.com/datasets/ea6103fd5a8d461ea4305a7b26334aae

Population Density GIS

Explore at:
52 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Aug 24, 2022
Dataset authored and provided by
Santa Clara County Public Health
License

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

Description

Table contains total population and population density summarized at county, city, zip code, and census tract level. Population density is defined as number of people residing per square mile of area. Data are presented for zip codes (ZCTAs) fully within the county. Source: U.S. Census Bureau, 2016-2020 American Community Survey 5-year estimates, Table B01001; data accessed on April 11, 2022 from https://api.census.gov. The 2020 Decennial geographies are used for data summarization.METADATA:notes (String): Lists table title, notes, sourcesgeolevel (String): Level of geographyGEOID (String): Geography IDNAME (String): Name of geographyt_pop (Numeric): Total populationpop_density (Numeric): Area in square milesarea (Numeric): Population density

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