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The population rate of change of San Benito County, CA was 1.27% 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 San Benito County, CA

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    Vital Signs: Economic Output Per Capita – by Subregion

    data.bayareametro.gov | Last Updated 2019-10-25T20:14:25.000Z

    VITAL SIGNS INDICATOR Economic Output (EC14) FULL MEASURE NAME Per-capita gross regional product LAST UPDATED July 2019 DESCRIPTION Economic output is measured by the total and per-capita gross regional product and refers to the value of goods and services generated by workers and companies in a region. DATA SOURCE Bureau of Economic Analysis: Regional Economic Accounts 2001-2017 http://www.bea.gov/regional/ California Department of Finance: Population and Housing Estimates 2001-2009 http://www.dof.ca.gov/Forecasting/Demographics/Estimates/ Note: Table E-8 California Department of Finance: Population and Housing Estimates 2010-2017 http://www.dof.ca.gov/Forecasting/Demographics/Estimates/ Note: Table E-5 CONTACT INFORMATION vitalsigns.info@bayareametro.gov METHODOLOGY NOTES (across all datasets for this indicator) As gross regional product data is only available on the MSA level, Bay Area data includes 10 counties (the nine core counties + San Benito County); this results in a slightly higher regional GRP as a result of additional population and business activity. Per-capita data reflects the additional population included as a result of San Benito County’s participation in the San Jose MSA. Data is inflation-adjusted by using both nominal and real data developed by BEA and appropriately escalating real GRP data in 2009 dollars to today’s dollars (2017). This inflation adjustment approach is specific to each MSA and is different from the CPI inflation approach used for other datasets on the Vital Signs website.

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    Vital Signs: Economic Output Per Capita – By Metro

    data.bayareametro.gov | Last Updated 2019-10-25T20:12:25.000Z

    VITAL SIGNS INDICATOR Economic Output (EC14) FULL MEASURE NAME Per-capita gross regional product LAST UPDATED July 2019 DESCRIPTION Economic output is measured by the total and per-capita gross regional product and refers to the value of goods and services generated by workers and companies in a region. DATA SOURCE Bureau of Economic Analysis: Regional Economic Accounts 2001-2017 http://www.bea.gov/regional/ California Department of Finance: Population and Housing Estimates 2001-2009 http://www.dof.ca.gov/Forecasting/Demographics/Estimates/ Note: Table E-8 California Department of Finance: Population and Housing Estimates 2010-2017 http://www.dof.ca.gov/Forecasting/Demographics/Estimates/ Note: Table E-5 CONTACT INFORMATION vitalsigns.info@bayareametro.gov METHODOLOGY NOTES (across all datasets for this indicator) As gross regional product data is only available on the MSA level, Bay Area data includes 10 counties (the nine core counties + San Benito County); this results in a slightly higher regional GRP as a result of additional population and business activity. Per-capita data reflects the additional population included as a result of San Benito County’s participation in the San Jose MSA. Data is inflation-adjusted by using both nominal and real data developed by BEA and appropriately escalating real GRP data in 2009 dollars to today’s dollars (2017). This inflation adjustment approach is specific to each MSA and is different from the CPI inflation approach used for other datasets on the Vital Signs website.

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    Vital Signs: Economic Output Per Capita – Bay Area

    data.bayareametro.gov | Last Updated 2019-10-25T20:14:44.000Z

    VITAL SIGNS INDICATOR Economic Output (EC14) FULL MEASURE NAME Per-capita gross regional product LAST UPDATED July 2019 DESCRIPTION Economic output is measured by the total and per-capita gross regional product and refers to the value of goods and services generated by workers and companies in a region. DATA SOURCE Bureau of Economic Analysis: Regional Economic Accounts 2001-2017 http://www.bea.gov/regional/ California Department of Finance: Population and Housing Estimates 2001-2009 http://www.dof.ca.gov/Forecasting/Demographics/Estimates/ Note: Table E-8 California Department of Finance: Population and Housing Estimates 2010-2017 http://www.dof.ca.gov/Forecasting/Demographics/Estimates/ Note: Table E-5 CONTACT INFORMATION vitalsigns.info@bayareametro.gov METHODOLOGY NOTES (across all datasets for this indicator) As gross regional product data is only available on the MSA level, Bay Area data includes 10 counties (the nine core counties + San Benito County); this results in a slightly higher regional GRP as a result of additional population and business activity. Per-capita data reflects the additional population included as a result of San Benito County’s participation in the San Jose MSA. Data is inflation-adjusted by using both nominal and real data developed by BEA and appropriately escalating real GRP data in 2009 dollars to today’s dollars (2017). This inflation adjustment approach is specific to each MSA and is different from the CPI inflation approach used for other datasets on the Vital Signs website.

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    Demographics For Unincorporated Areas In San Mateo County

    datahub.smcgov.org | Last Updated 2018-10-25T21:45:46.000Z

    Demographics, including median income, total population, race, ethnicity, and age for unincorporated areas in San Mateo County. This data comes from the 2012 American Community Survey 5 year estimates DP03 and DP05 files. They Sky Londa area is located within two Census Tracts. The data for Sky Londa is the sum of both of those Census Tracts. Users of this data should take this into account when using data for Sky Londa.

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    Vital Signs: Housing Permits - by metro area

    data.bayareametro.gov | Last Updated 2020-04-13T23:25:38.000Z

    VITAL SIGNS INDICATOR Housing Permits (LU3) FULL MEASURE NAME Permitted housing units LAST UPDATED October 2019 DESCRIPTION Housing growth is measured in terms of the number of units that local jurisdictions permit throughout a given year. A permitted unit is a unit that a city or county has authorized for construction. DATA SOURCE Construction Industry Research Board Table 3: Residential Units and Valuation (1967-2010) No link available California Housing Foundation/Construction Industry Research Board California Construction Trends (2011-2013) http://www.mychf.org/cirb/ Association of Bay Area Governments (ABAG) – Metropolitan Transportation Commission (MTC) Housing Permits Database (2014-2017) http://opendata.mtc.ca.gov CONTACT INFORMATION vitalsigns.info@bayareametro.gov METHODOLOGY NOTES (across all datasets for this indicator) Bay Area housing permits data prior to 2014 comes from the California Housing Foundation/Construction Industry Research Board. Data from 2014 to 2017 comes from the Association of Bay Area Governments (ABAG) – Metropolitan Transportation Commission (MTC) Housing Permits Database. Single-family housing units include detached, semi-detached, row house and town house units. Row houses and town houses are included as single-family units when each unit is separated from the adjacent unit by an unbroken ground-to-roof party or fire wall. Condominiums are included as single-family units when they are of zero-lot-line or zero-property-line construction; when units are separated by an air space; or, when units are separated by an unbroken ground-to-roof party or fire wall. Multi-family housing includes duplexes, three-to-four-unit structures and apartment-type structures with five units or more. Multi-family also includes condominium units in structures of more than one living unit that do not meet the single-family housing definition. In the permits data from 2014 to 2017, single-family units include all units not strictly classified as multi-family. This may include secondary units. Each multi-family unit is counted separately even though they may be in the same building. Total units is the sum of single-family and multi-family units. County data is available from 1967 whereas city data is available from 1990. City data is only available for incorporated cities and towns. All permits in unincorporated cities and towns are included under their respective county’s unincorporated total. Permit data is not available for years when the city or town was not incorporated. Affordable housing is the total number of permitted units affordable to low and very low income households. Housing affordable to very low income households are households making below 50% of the area median income. Housing affordable to low income households are households making between 50% and 80% of the area median income. Housing affordable to moderate income households are households making below 80% and 120% of the area median income. Housing affordable to above moderate income households are households making above 120% of the area median income. Permit data is missing for the following cities and years: Clayton, 1990-2007 Lafayette, 1990-2007 Moraga, 1990-2007 Orinda, 1990-2007 San Ramon, 1990 Building permit data for metropolitan areas for each year is the sum of non-seasonally adjusted monthly estimates from the Building Permit Survey. The Bay Area values are the sum of the San Francisco-Oakland-Hayward MSA and the San Jose-Sunnyvale-Santa Clara MSA. The counties included in these areas are: San Francisco, Marin, Contra Costa, Alameda, San Mateo, Santa Clara, and San Benito. Permit values reflect the number of units permitted in each respective year.

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    Population Projections for Napa County

    data.countyofnapa.org | Last Updated 2024-02-21T23:24:18.000Z

    Data Source: CA Department of Finance, Demographic Research Unit Report P-3: Population Projections, California, 2010-2060 (Baseline 2019 Population Projections; Vintage 2020 Release). Sacramento: California. July 2021. This data biography shares the how, who, what, where, when, and why about this dataset. We, the epidemiology team at Napa County Health and Human Services Agency, Public Health Division, created it to help you understand where the data we analyze and share comes from. If you have any further questions, we can be reached at epidemiology@countyofnapa.org. Data dashboard featuring this data: Napa County Demographics https://data.countyofnapa.org/stories/s/bu3n-fytj How was the data collected? Population projections use the following demographic balancing equation: Current Population = Previous Population + (Births - Deaths) +Net Migration Previous Population: the starting point for the population projection estimates is the 2020 US Census, informed by the Population Estimates Program data. Births and Deaths: birth and death totals came from the California Department of Public Health, Vital Statistics Branch, which maintains birth and death records for California. Net Migration: multiple sources of administrative records were used to estimate net migration, including driver’s license address changes, IRS tax return data, Medicare and Medi-Cal enrollment, federal immigration reports, elementary school enrollments, and group quarters population. Who was included and excluded from the data? Previous Population: The goal of the US Census is to reflect all populations residing in a given geographic area. Results of two analyses done by the US Census Bureau showed that the 2020 Census total population counts were consistent with recent counts despite the challenges added by the pandemic. However, some populations were undercounted (the Black or African American population, the American Indian or Alaska Native population living on a reservation, the Hispanic or Latino population, and people who reported being of Some Other Race), and some were overcounted (the Non-Hispanic White population and the Asian population). Children, especially children younger than 4, were also undercounted. Births and Deaths: Birth records include all people who are born in California as well as births to California residents that happened out of state. Death records include people who died while in California, as well as deaths of California residents that occurred out of state. Because birth and death record data comes from a registration process, the demographic information provided may not be accurate or complete. Net Migration: each of the multiple sources of administrative records that were used to estimate net migration include and exclude different groups. For details about methodology, see https://dof.ca.gov/wp-content/uploads/sites/352/2023/07/Projections_Methodology.pdf. Where was the data collected?  Data is collected throughout California. This subset of data includes Napa County. When was the data collected? This subset of Napa County data is from Report P-3: Population Projections, California, 2010-2060 (Baseline 2019 Population Projections; Vintage 2020 Release). Sacramento: California. July 2021. These 2019 baseline projections incorporate the latest historical population, birth, death, and migration data available as of July 1, 2020. Historical trends from 1990 through 2020 for births, deaths, and migration are examined. County populations by age, sex, and race/ethnicity are projected to 2060. Why was the data collected?  The population projections were prepared under the mandate of the California Government Code (Cal. Gov't Code § 13073, 13073.5). Where can I learn more about this data? https://dof.ca.gov/Forecasting/Demographics/Projections/ https://dof.ca.gov/wp-content/uploads/sites/352/Forecasting/Demographics/Documents/P3_Dictionary.txt https://dof.ca.gov/wp-content/uploads/sites/352/2023/07/Proj

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    2021 Alzheimer's Disease and Related Dementias

    internal-sandiegocounty.data.socrata.com | Last Updated 2023-04-25T22:12:34.000Z

    Data by medical encounter for the following conditions by age, race/ethnicity, and gender: Alzheimer's Disease Alzheimer's Disease and Related Dementias (ADRD) Dementia Neurocognitive Disorders Parkinson's Disease Rates per 100,000 population. Age-adjusted rates per 100,000, 2000 US standard population. Blank Cells: Rates not calculated for fewer than 11 events. Rates not calculated in cases where zip code is unknown. Geography not reported where there are no cases reported in a given year. SES: Is the median household income by SRA community. Data for SRAs only. Data sources: California Department of Public Health, Center for Health Statistics, Office of Health Information and Research, Vital Records Business Intelligence System (VRBIS), 2021. California Department of Health Care Access and Information (HCAI), Emergency Department Discharge Database and Patient Discharge Database, 2021. SANDAG Population Estimates, 2021 (vintage: 09/2022). Population estimates were derived using the 2010 Census and data should be considered preliminary. Prepared by: County of San Diego, Health and Human Services Agency, Public Health Services, Community Health Statistics Unit, March 2023. 2021 Community Profile Data Guide and Data Dictionary Dashboard: https://public.tableau.com/app/profile/chsu/viz/2021CommunityProfilesDataGuideandDataDictionaryDashboards_16802003011430/HomePage

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    Vital Signs: Migration - Bay Area

    data.bayareametro.gov | Last Updated 2019-10-25T20:40:04.000Z

    VITAL SIGNS INDICATOR Migration (EQ4) FULL MEASURE NAME Migration flows LAST UPDATED December 2018 DESCRIPTION Migration refers to the movement of people from one location to another, typically crossing a county or regional boundary. Migration captures both voluntary relocation – for example, moving to another region for a better job or lower home prices – and involuntary relocation as a result of displacement. The dataset includes metropolitan area, regional, and county tables. DATA SOURCE American Community Survey County-to-County Migration Flows 2012-2015 5-year rolling average http://www.census.gov/topics/population/migration/data/tables.All.html CONTACT INFORMATION vitalsigns.info@bayareametro.gov METHODOLOGY NOTES (across all datasets for this indicator) Data for migration comes from the American Community Survey; county-to-county flow datasets experience a longer lag time than other standard datasets available in FactFinder. 5-year rolling average data was used for migration for all geographies, as the Census Bureau does not release 1-year annual data. Data is not available at any geography below the county level; note that flows that are relatively small on the county level are often within the margin of error. The metropolitan area comparison was performed for the nine-county San Francisco Bay Area, in addition to the primary MSAs for the nine other major metropolitan areas, by aggregating county data based on current metropolitan area boundaries. Data prior to 2011 is not available on Vital Signs due to inconsistent Census formats and a lack of net migration statistics for prior years. Only counties with a non-negligible flow are shown in the data; all other pairs can be assumed to have zero migration. Given that the vast majority of migration out of the region was to other counties in California, California counties were bundled into the following regions for simplicity: Bay Area: Alameda, Contra Costa, Marin, Napa, San Francisco, San Mateo, Santa Clara, Solano, Sonoma Central Coast: Monterey, San Benito, San Luis Obispo, Santa Barbara, Santa Cruz Central Valley: Fresno, Kern, Kings, Madera, Merced, Tulare Los Angeles + Inland Empire: Imperial, Los Angeles, Orange, Riverside, San Bernardino, Ventura Sacramento: El Dorado, Placer, Sacramento, Sutter, Yolo, Yuba San Diego: San Diego San Joaquin Valley: San Joaquin, Stanislaus Rural: all other counties (23) One key limitation of the American Community Survey migration data is that it is not able to track emigration (movement of current U.S. residents to other countries). This is despite the fact that it is able to quantify immigration (movement of foreign residents to the U.S.), generally by continent of origin. Thus the Vital Signs analysis focuses primarily on net domestic migration, while still specifically citing in-migration flows from countries abroad based on data availability.

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    2021 Behavioral Health Outcomes

    internal-sandiegocounty.data.socrata.com | Last Updated 2023-04-25T22:12:10.000Z

    Data by medical encounter for the following conditions by age, race/ethnicity, and gender: Alcohol Poisoning Alcohol Related Disorders Anxiety and Fear Related Disorders Cannabis Overdoses Cannabis Related Disorders Depression Impulse and Conduct Disorders Miscellaneous Mental Health Disorders Mood Disorders Neurodevelopmental Disorders Opioid Overdoses Opioid Related Disorders Personality Disorders Schizophrenia Sedative Overdoses Sedative Related Disorders Stimulant Overdoses Stimulant Related Disorders Substance Related Disorders Suicide Trauma and Stressor Related Disorders Rates per 100,000 population. Age-adjusted rates per 100,000 2000 US standard population. Blank Cells: Rates not calculated for fewer than 11 events. Rates not calculated in cases where zip code is unknown. Geography not reported where there are no cases reported in a given year. SES: Is the median household income by SRA community. Data for SRAs only. Data sources: California Department of Public Health, Center for Health Statistics, Office of Health Information and Research, Vital Records Business Intelligence System (VRBIS), 2021. California Department of Health Care Access and Information (HCAI), Emergency Department Discharge Database and Patient Discharge Database, 2021. SANDAG Population Estimates, 2021 (vintage: 09/2022). Population estimates were derived using the 2010 Census and data should be considered preliminary. Prepared by: County of San Diego, Health and Human Services Agency, Public Health Services, Community Health Statistics Unit, March 2023. 2021 Community Profile Data Guide and Data Dictionary Dashboard: https://public.tableau.com/app/profile/chsu/viz/2021CommunityProfilesDataGuideandDataDictionaryDashboards_16802003011430/HomePage

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    2020 Alzheimer's Disease and Related Dementias

    internal-sandiegocounty.data.socrata.com | Last Updated 2023-04-25T22:07:01.000Z

    Data by medical encounter for the following conditions by age, race/ethnicity, and gender: Alzheimer's Disease Alzheimer's Disease and Related Dementias (ADRD) Dementia Neurocognitive Disorders Parkinson's Disease Rates per 100,000 population. Age-adjusted rates per 100,000 2000 US standard population. Blank Cells: Rates not calculated for fewer than 11 events. Rates not calculated in cases where zip code is unknown. Geography not reported where there are no cases reported in a given year. SES: Is the median household income by SRA community. Data for SRAs only. *The COVID-19 pandemic was associated with increases in all-cause mortality. COVID-19 deaths have affected the patterns of mortality, including those of ADRD conditions. Data sources: California Department of Public Health, Center for Health Statistics, Office of Health Information and Research, Vital Records Business Intelligence System (VRBIS). California Department of Health Care Access and Information (HCAI), Emergency Department Database and Patient Discharge Database, 2020. SANDAG Population Estimates, 2020 (vintage: 09/2022). Population estimates were derived using the 2010 Census and data should be considered preliminary. Prepared by: County of San Diego, Health and Human Services Agency, Public Health Services, Community Health Statistics Unit, February 2023. 2020 Community Profile Data Guide and Data Dictionary Dashboard: https://public.tableau.com/app/profile/chsu/viz/2020CommunityProfilesDataGuideandDataDictionaryDashboard_16763944288860/HomePage