- What is the Population Rate of Change?
- What is the Population Density?
- What is the Land Area?
- What is the Percent who did not finish the 9th grade?
- What is the Median Earnings?
- What is the Number of Employees?
- What is the Crime incident count?
- What is the Water Area?
- What is the High School Graduation Rate?
- What is the Median Female Earnings?
The population count of San Jose, CA was 1,009,363 in 2016.
Demographics and Population Datasets Involving San Jose, CA
- API 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 data.smcgov.org | Last Updated 2016-05-11T22:50:51.000Z
School-level enrollment by racial/ethnic designation, gender, and grade for 2007 - 2013. This dataset includes ethnicity, race, and gender data for schools in San Mateo County. Grades range from kindergarten through high school and include adult education students
- API chhs.data.ca.gov | Last Updated 2017-06-15T22:43:29.000Z
This dataset includes demographics of clients served by the Family Planning, Access, Care, and Treatment (Family PACT) Program between 1997 and 2015. Family PACT is administered by the California Department of Health Care Services, Office of Family Planning (OFP) and has been operating since 1997 to provide family planning and reproductive health services at no cost to California’s low-income residents of reproductive age. The program offers comprehensive family planning services, including contraception, pregnancy testing, and sterilization, as well as sexually transmitted infection (STI) testing and limited cancer screening services. Demographic variables listed in the table include sex, age, race/ethnicity, language, and parity. Parity is defined as the number of live births reported at the time of enrollment or recertification for the Family PACT program. Clients are recertified annually and are considered served only if they had a paid claim. Age, race/ethnicity, language, and parity variables were self-reported by clients at time of enrollment and recertification.
- API data.communityvitalsigns.org | Last Updated 2016-03-01T19:43:41.000Z
This dataset contains high school graduation rates from 2010-2014 for San Bernardino County and California (from California Department of Education, California Longitudinal Pupil Achievement Data System, Cohort Outcome Data by Gender Report), and percentage of the adult population age 25 years and older with a bachelor's degree or higher, median household income in the past 12 months (adjusted annually for inflation), and unemployment rate for the population age 16 years and older, for San Bernardino County and California from 2005-2014 (U.S. Census Bureau, American Community Survey 1-Year Estimates, Tables B19013, S1501 and S2301).
- API chhs.data.ca.gov | Last Updated 2017-02-17T22:34:56.000Z
This table contains data on the percentage of the total population living within 1/4 mile of alcohol outlets (off-sale, on-sale, total) for California, its regions, counties, county divisions, cities, towns, and Census tracts. Population data is from the 2010 Decennial Census, while the alcohol outlet location data is from 2014 (April). Race/ethnicity stratification is included in the table. The table is part of a series of indicators in the Healthy Communities Data and Indicators Project of the Office of Health Equity (http://www.cdph.ca.gov/programs/Pages/HealthyCommunityIndicators.aspx). Some studies have found that proximity to alcohol outlets (living within walking distance) is positively associated with outcomes like excessive alcohol consumption and other alcohol related harms like injuries and violence. More information on the data table and a data dictionary can be found in the About/Attachments section.
- API data.communityvitalsigns.org | Last Updated 2016-03-03T19:15:58.000Z
- API data.communityvitalsigns.org | Last Updated 2017-03-01T19:54:30.000Z
This dataset contains a number of outcome variables for high school cohorts for school years ending in 2010-2015 in San Bernardino County, by race/ethnicity and gender.
- API data.sfgov.org | Last Updated 2016-01-22T18:33:03.000Z
The purpose of the San Francisco Municipal Greenhouse Gas Inventory is to measure and track departmental greenhouse gas emissions as part of the City's climate action strategy. Per Environment Code Chapter 9, this data is collected and calculated by the Department of the Environment. Note: Data as of 12/21/2015. San Francisco municipal greenhouse gas inventory for Fiscal Years 2012 per the California Air Resources Board's Local Government Operations Protocol Version 1.1 (May 2010). Third-party verification of Fiscal Year 2012 which was completed in March 2015 is available at http://sfenvironment.org/download/fiscal-year-2012-municipal-ghg-inventory-memo Since the third-party verification was conducted, the following minor edits were made to the dataset: - The CH4/N2O scaling factor applied to SFMTA gasoline changed from 1.025 to 1.022 and SFMTA CNG changed from 1.032 to 1.022 - More up to date wastewater emission data was obtained
- API chhs.data.ca.gov | Last Updated 2017-06-14T20:10:39.000Z
This table contains data on the percent of household overcrowding (> 1.0 persons per room) and severe overcrowding (> 1.5 persons per room)for California, its regions, counties, and cities/towns. Data is from the U.S. Department of Housing and Urban Development (HUD), Consolidated Planning Comprehensive Housing Affordability Strategy (CHAS). The table is part of a series of indicators in the Healthy Communities Data and Indicators Project of the Office of Health Equity (https://www.cdph.ca.gov/Programs/OHE/Pages/Healthy-Communities-Data-and-Indicators-Project-(HCI).aspx). Residential crowding has been linked to an increased risk of infection from communicable diseases, a higher prevalence of respiratory ailments, and greater vulnerability to homelessness among the poor. Residential crowding reflects demographic and socioeconomic conditions. Older-adult immigrant and recent immigrant communities, families with low income and renter-occupied households are more likely to experience household crowding. A form of residential overcrowding known as "doubling up"—co-residence with family members or friends for economic reasons—is the most commonly reported prior living situation for families and individuals before the onset of homelessness. More information about the data table and a data dictionary can be found in the Attachments.
- API chhs.data.ca.gov | Last Updated 2017-06-14T18:09:22.000Z
This table contains data on the percent of households paying more than 30% (or 50%) of monthly household income towards housing costs for California, its regions, counties, cities/towns, and census tracts. Data is from the U.S. Department of Housing and Urban Development (HUD), Consolidated Planning Comprehensive Housing Affordability Strategy (CHAS) and the U.S. Census Bureau, American Community Survey (ACS). The table is part of a series of indicators in the Healthy Communities Data and Indicators Project of the Office of Health Equity (https://www.cdph.ca.gov/Programs/OHE/Pages/Healthy-Communities-Data-and-Indicators-Project-(HCI).aspx). Affordable, quality housing is central to health, conferring protection from the environment and supporting family life. Housing costs—typically the largest, single expense in a family's budget—also impact decisions that affect health. As housing consumes larger proportions of household income, families have less income for nutrition, health care, transportation, education, etc. Severe cost burdens may induce poverty—which is associated with developmental and behavioral problems in children and accelerated cognitive and physical decline in adults. Low-income families and minority communities are disproportionately affected by the lack of affordable, quality housing. More information about the data table and a data dictionary can be found in the Attachments.