The population count of Oakland, CA was 421,042 in 2018.

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 Oakland, CA

  • API

    NYCHA Resident Data Book Summary

    data.cityofnewyork.us | Last Updated 2020-02-08T00:56:30.000Z

    Contains resident demographic data at a summary level as of January 1, 2019. The Resident Data Book is compiled to serve as an information source for queries involving resident demographic as well as a source of data for internal analysis. Statistics are compiled via HUD mandated annual income reviews involving NYCHA Staff and residents. Data is then aggregated and compiled by development. Each record pertains to a single public housing development.

  • API

    Census Data - Selected socioeconomic indicators in Chicago, 2008 – 2012

    data.cityofchicago.org | Last Updated 2014-09-12T20:56:56.000Z

    This dataset contains a selection of six socioeconomic indicators of public health significance and a “hardship index,” by Chicago community area, for the years 2008 – 2012. The indicators are the percent of occupied housing units with more than one person per room (i.e., crowded housing); the percent of households living below the federal poverty level; the percent of persons in the labor force over the age of 16 years that are unemployed; the percent of persons over the age of 25 years without a high school diploma; the percent of the population under 18 or over 64 years of age (i.e., dependency); and per capita income. Indicators for Chicago as a whole are provided in the final row of the table. See the full dataset description for more information at: https://data.cityofchicago.org/api/views/fwb8-6aw5/files/A5KBlegGR2nWI1jgP6pjJl32CTPwPbkl9KU3FxlZk-A?download=true&filename=P:\EPI\OEPHI\MATERIALS\REFERENCES\ECONOMIC_INDICATORS\Dataset_Description_socioeconomic_indicators_2012_FOR_PORTAL_ONLY.pdf

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    Deaths with COVID-19 by race/ethnicity

    data.sccgov.org | Last Updated 2024-04-27T00:03:54.000Z

    The dataset provides information about the demographics and characteristics of deaths with COVID-19 by racial/ethnic groups among Santa Clara County residents. Source: California Reportable Disease Information Exchange. Data notes: The Other category for the race/ethnicity graph includes American Indian/Alaska Native and people who identify as multi-racial. This table is updated every Friday.

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    COVID-19 cases by race/ethnicity

    data.sccgov.org | Last Updated 2024-04-27T00:00:24.000Z

    The dataset provides information about the demographics and characteristics of COVID-19 cases by racial/ethnic groups among Santa Clara County residents. Source: California Reportable Disease Information Exchange. Data notes: The Other category for the race/ethnicity graph includes American Indian/Alaska Native and people who identify as multi-racial. This table is updated every Thursday.

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    Adult Felony Arrests

    data.oaklandca.gov | Last Updated 2018-10-01T22:14:15.000Z

    This Indicator measures the rate of adult felony arrests by race/ethnicity adjusted for population. Rate is calculated as the number of adult felony arrests per 100,000 people of each race/ethnicity that are 18 years of age and older. To determine the number of adults of each race/ethnicity in Oakland, we took the population by race/ethnicity for all ages and multiplied by the percent of Oakland’s population that is 18 and over (80.33%). This approach was necessary due to the lack of exact data available on the 18 and over population in Oakland by race/ethnicity.

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    San Mateo County And California Crime Rates 2000-2014

    performance.smcgov.org | Last Updated 2016-08-31T20:40:07.000Z

    Violent and property crime rates per 100,000 population for San Mateo County and the State of California. The total crimes used to calculate the rates for San Mateo County include data from: Sheriff's Department Unincorporated, Atherton, Belmont, Brisbane, Broadmoor, Burlingame, Colma, Daly City, East Palo Alto, Foster City, Half Moon Bay, Hillsborough, Menlo Park, Millbrae, Pacifica, Redwood City, San Bruno, San Carlos, San Mateo, South San Francisco, Bay Area DPR, BART, Union Pacific Railroad, and CA Highway Patrol.

  • API

    Juvenile Felony Arrests

    data.oaklandca.gov | Last Updated 2018-10-01T22:14:36.000Z

    This Indicator measures the rate of felony arrests of juveniles by race/ethnicity adjusted for population. This Indicator is measured for Oakland. Rate is calculated as the number of juvenile felony arrests per 100,000 people of each race/ethnicity that are under 18 years of age. To determine the number of juveniles of each race/ethnicity in Oakland, we took the population by race/ethnicity for all ages and multiplied by the percent of Oakland’s population that is under 18 (19.67%). This approach was necessary due to the lack of exact data available on the under 18 population in Oakland by race/ethnicity.

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    Homelessness

    data.oaklandca.gov | Last Updated 2018-10-01T22:14:47.000Z

    Homelessness is measured by number of homeless individuals per 100,000 individuals in the general population. Homelessness data was available by race and ethnicity, separately. Both sheltered and unsheltered homeless individuals are captured in the homelessness counts, to provide a fuller picture of the homeless population.

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    Housing Habitability Complaints

    data.oaklandca.gov | Last Updated 2018-10-01T22:14:57.000Z

    This Indicator measures housing habitability complaints as a percent of total housing units by zip code as reported to the Oakland Code Enforcement Division. This Indicator compares zip codes in which more than 60% of the population is non-White to those in which more than 60% of the population is White. The third category of zip codes is those in which the population is racially and ethnically mixed.

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    Acute Preventable Hospitalizations

    data.oaklandca.gov | Last Updated 2018-10-01T22:14:24.000Z

    This Indicator measures the age adjusted rate of acute preventable hospitalizations. “‘Preventable hospitalizations’ are inpatient hospital stays that could have been avoided with improved access to and quality of outpatient care. They are measured by prevention quality indicators (PQIs). PQI #91, the acute composite, is a summary measure which includes bacterial pneumonia, urinary tract infection, and dehydration preventable hospitalizations for adults. ”(Source:http://www.healthyalamedacounty.org/indicators/index/view?indicatorId=2480&localeId=2 38) This Indicator compares zip codes in which more than 60% of the population is non-White to those in which more than 60% of the population is White. The third category of zip codes is those in which the population is racially and ethnically mixed. Data is from 2013 through the third quarter of 2015.