In 2023, the resident population of California was ***** million. This is a slight decrease from the previous year, with ***** million people in 2022. This makes it the most populous state in the U.S. Californian demographics Along with an increase in population, California’s gross domestic product (GDP) has also been increasing, from *** trillion U.S. dollars in 2000 to **** trillion U.S. dollars in 2023. In the same time period, the per-capita personal income has almost doubled, from ****** U.S. dollars in 2000 to ****** U.S. dollars in 2022. In 2023, the majority of California’s resident population was Hispanic or Latino, although the number of white residents followed as a close second, with Asian residents making up the third-largest demographic in the state. The dark side of the Golden State While California is one of the most well-known states in the U.S., is home to Silicon Valley, and one of the states where personal income has been increasing over the past 20 years, not everyone in California is so lucky: In 2023, the poverty rate in California was about ** percent, and the state had the fifth-highest rate of homelessness in the country during that same year, with an estimated ** homeless people per 10,000 of the population.

This graph shows the population density in the federal state of California from 1960 to 2018. In 2018, the population density of California stood at 253.9 residents per square mile of land area.

Graph and download economic data for Resident Population in California (CAPOP) from 1900 to 2024 about residents, CA, population, and USA.

In 2023, the number of Hispanic and Latino residents in California had surpassed the number of White residents, with about ***** million Hispanics compared to ***** million White residents. California’s residents California has always held a special place in the American imagination as a place where people can start a new life and increase their personal fortunes. Perhaps due partly to this, California is the most populous state in the United States, with over ** million residents, which is a significant increase from the number of residents in 1960. California is also the U.S. state with the largest population of foreign born residents. The Californian economy The Californian economy is particularly strong and continually contributes a significant amount to the gross domestic product (GDP) of the United States. Its per-capita GDP is also high, which indicates a high standard of living for its residents. Additionally, the median household income in California has more than doubled from 1990 levels.

Canada CA: Population in Urban Agglomerations of More Than 1 Million data was reported at 18,139,786.000 Person in 2024. This records an increase from the previous number of 17,958,253.000 Person for 2023. Canada CA: Population in Urban Agglomerations of More Than 1 Million data is updated yearly, averaging 11,427,441.000 Person from Dec 1960 (Median) to 2024, with 65 observations. The data reached an all-time high of 18,139,786.000 Person in 2024 and a record low of 5,390,421.000 Person in 1960. Canada CA: Population in Urban Agglomerations of More Than 1 Million data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Canada – Table CA.World Bank.WDI: Population and Urbanization Statistics. Population in urban agglomerations of more than one million is the country's population living in metropolitan areas that in 2018 had a population of more than one million people.;United Nations, World Urbanization Prospects.;;

Canada CA: Population: Male: Ages 80 and Above: % of Male Population data was reported at 3.896 % in 2023. This records an increase from the previous number of 3.776 % for 2022. Canada CA: Population: Male: Ages 80 and Above: % of Male Population data is updated yearly, averaging 1.639 % from Dec 1960 (Median) to 2023, with 64 observations. The data reached an all-time high of 3.896 % in 2023 and a record low of 1.102 % in 1960. Canada CA: Population: Male: Ages 80 and Above: % of Male Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Canada – Table CA.World Bank.WDI: Population and Urbanization Statistics. Male population between the ages 80 and above as a percentage of the total male population.;United Nations Population Division. World Population Prospects: 2024 Revision.;;

VITAL SIGNS INDICATOR

Population (LU1)

FULL MEASURE NAME

Population estimates

LAST UPDATED

February 2023

DESCRIPTION

Population is a measurement of the number of residents that live in a given geographical area, be it a neighborhood, city, county or region.

DATA SOURCE

California Department of Finance: Population and Housing Estimates - http://www.dof.ca.gov/Forecasting/Demographics/Estimates/

Table E-6: County Population Estimates (1960-1970)

Table E-4: Population Estimates for Counties and State (1970-2021)

Table E-8: Historical Population and Housing Estimates (1990-2010)

Table E-5: Population and Housing Estimates (2010-2021)

Bay Area Jurisdiction Centroids (2020) - https://data.bayareametro.gov/Boundaries/Bay-Area-Jurisdiction-Centroids-2020-/56ar-t6bs

Computed using 2020 US Census TIGER boundaries

U.S. Census Bureau: Decennial Census Population Estimates - http://www.s4.brown.edu/us2010/index.htm- via Longitudinal Tract Database Spatial Structures in the Social Sciences, Brown University

1970-2020

U.S. Census Bureau: American Community Survey (5-year rolling average; tract) - https://data.census.gov/

2011-2021

Form B01003

Priority Development Areas (Plan Bay Area 2050) - https://opendata.mtc.ca.gov/datasets/MTC::priority-development-areas-plan-bay-area-2050/about

CONTACT INFORMATION

vitalsigns.info@bayareametro.gov

METHODOLOGY NOTES (across all datasets for this indicator)

All historical data reported for Census geographies (metropolitan areas, county, city and tract) use current legal boundaries and names. A Priority Development Area (PDA) is a locally-designated area with frequent transit service, where a jurisdiction has decided to concentrate most of its housing and jobs growth for development in the foreseeable future. PDA boundaries are current as of December 2022.

Population estimates for Bay Area counties and cities are from the California Department of Finance, which are as of January 1st of each year. Population estimates for non-Bay Area regions are from the U.S. Census Bureau. Decennial Census years reflect population as of April 1st of each year whereas population estimates for intercensal estimates are as of July 1st of each year. Population estimates for Bay Area tracts are from the decennial Census (1970-2020) and the American Community Survey (2011-2021 5-year rolling average). Estimates of population density for tracts use gross acres as the denominator.

Population estimates for Bay Area tracts and PDAs are from the decennial Census (1970-2020) and the American Community Survey (2011-2021 5-year rolling average). Population estimates for PDAs are allocated from tract-level Census population counts using an area ratio. For example, if a quarter of a Census tract lies with in a PDA, a quarter of its population will be allocated to that PDA. Estimates of population density for PDAs use gross acres as the denominator. Note that the population densities between PDAs reported in previous iterations of Vital Signs are mostly not comparable due to minor differences and an updated set of PDAs (previous iterations reported Plan Bay Area 2040 PDAs, whereas current iterations report Plan Bay Area 2050 PDAs).

The following is a list of cities and towns by geographical area:

Big Three: San Jose, San Francisco, Oakland

Bayside: Alameda, Albany, Atherton, Belmont, Belvedere, Berkeley, Brisbane, Burlingame, Campbell, Colma, Corte Madera, Cupertino, Daly City, East Palo Alto, El Cerrito, Emeryville, Fairfax, Foster City, Fremont, Hayward, Hercules, Hillsborough, Larkspur, Los Altos, Los Altos Hills, Los Gatos, Menlo Park, Mill Valley, Millbrae, Milpitas, Monte Sereno, Mountain View, Newark, Pacifica, Palo Alto, Piedmont, Pinole, Portola Valley, Redwood City, Richmond, Ross, San Anselmo, San Bruno, San Carlos, San Leandro, San Mateo, San Pablo, San Rafael, Santa Clara, Saratoga, Sausalito, South San Francisco, Sunnyvale, Tiburon, Union City, Vallejo, Woodside

Inland, Delta and

Splitgraph serves as an HTTP API that lets you run SQL queries directly on this data to power Web applications. For example:

See the Splitgraph documentation for more information.

Canada CA: Population: as % of Total: Aged 65 and Above data was reported at 19.546 % in 2023. This records an increase from the previous number of 19.034 % for 2022. Canada CA: Population: as % of Total: Aged 65 and Above data is updated yearly, averaging 11.465 % from Dec 1960 (Median) to 2023, with 64 observations. The data reached an all-time high of 19.546 % in 2023 and a record low of 7.672 % in 1960. Canada CA: Population: as % of Total: Aged 65 and Above data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Canada – Table CA.World Bank.WDI: Population and Urbanization Statistics. Population ages 65 and above as a percentage of the total population. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.;United Nations Population Division. World Population Prospects: 2022 Revision.;Weighted average;

VITAL SIGNS INDICATOR Population (LU1)

FULL MEASURE NAME Population estimates

LAST UPDATED October 2019

DESCRIPTION Population is a measurement of the number of residents that live in a given geographical area, be it a neighborhood, city, county or region.

DATA SOURCES U.S Census Bureau: Decennial Census No link available (1960-1990) http://factfinder.census.gov (2000-2010)

California Department of Finance: Population and Housing Estimates Table E-6: County Population Estimates (1961-1969) Table E-4: Population Estimates for Counties and State (1971-1989) Table E-8: Historical Population and Housing Estimates (2001-2018) Table E-5: Population and Housing Estimates (2011-2019) http://www.dof.ca.gov/Forecasting/Demographics/Estimates/

U.S. Census Bureau: Decennial Census - via Longitudinal Tract Database Spatial Structures in the Social Sciences, Brown University Population Estimates (1970 - 2010) http://www.s4.brown.edu/us2010/index.htm

U.S. Census Bureau: American Community Survey 5-Year Population Estimates (2011-2017) http://factfinder.census.gov

U.S. Census Bureau: Intercensal Estimates Estimates of the Intercensal Population of Counties (1970-1979) Intercensal Estimates of the Resident Population (1980-1989) Population Estimates (1990-1999) Annual Estimates of the Population (2000-2009) Annual Estimates of the Population (2010-2017) No link available (1970-1989) http://www.census.gov/popest/data/metro/totals/1990s/tables/MA-99-03b.txt http://www.census.gov/popest/data/historical/2000s/vintage_2009/metro.html https://www.census.gov/data/datasets/time-series/demo/popest/2010s-total-metro-and-micro-statistical-areas.html

CONTACT INFORMATION vitalsigns.info@bayareametro.gov

METHODOLOGY NOTES (across all datasets for this indicator) All legal boundaries and names for Census geography (metropolitan statistical area, county, city, and tract) are as of January 1, 2010, released beginning November 30, 2010, by the U.S. Census Bureau. A Priority Development Area (PDA) is a locally-designated area with frequent transit service, where a jurisdiction has decided to concentrate most of its housing and jobs growth for development in the foreseeable future. PDA boundaries are current as of August 2019. For more information on PDA designation see http://gis.abag.ca.gov/website/PDAShowcase/.

Population estimates for Bay Area counties and cities are from the California Department of Finance, which are as of January 1st of each year. Population estimates for non-Bay Area regions are from the U.S. Census Bureau. Decennial Census years reflect population as of April 1st of each year whereas population estimates for intercensal estimates are as of July 1st of each year. Population estimates for Bay Area tracts are from the decennial Census (1970 -2010) and the American Community Survey (2008-2012 5-year rolling average; 2010-2014 5-year rolling average; 2013-2017 5-year rolling average). Estimates of population density for tracts use gross acres as the denominator.

Population estimates for Bay Area PDAs are from the decennial Census (1970 - 2010) and the American Community Survey (2006-2010 5 year rolling average; 2010-2014 5-year rolling average; 2013-2017 5-year rolling average). Population estimates for PDAs are derived from Census population counts at the tract level for 1970-1990 and at the block group level for 2000-2017. Population from either tracts or block groups are allocated to a PDA using an area ratio. For example, if a quarter of a Census block group lies with in a PDA, a quarter of its population will be allocated to that PDA. Tract-to-PDA and block group-to-PDA area ratios are calculated using gross acres. Estimates of population density for PDAs use gross acres as the denominator.

Annual population estimates for metropolitan areas outside the Bay Area are from the Census and are benchmarked to each decennial Census. The annual estimates in the 1990s were not updated to match the 2000 benchmark.

The following is a list of cities and towns by geographical area: Big Three: San Jose, San Francisco, Oakland Bayside: Alameda, Albany, Atherton, Belmont, Belvedere, Berkeley, Brisbane, Burlingame, Campbell, Colma, Corte Madera, Cupertino, Daly City, East Palo Alto, El Cerrito, Emeryville, Fairfax, Foster City, Fremont, Hayward, Hercules, Hillsborough, Larkspur, Los Altos, Los Altos Hills, Los Gatos, Menlo Park, Mill Valley, Millbrae, Milpitas, Monte Sereno, Mountain View, Newark, Pacifica, Palo Alto, Piedmont, Pinole, Portola Valley, Redwood City, Richmond, Ross, San Anselmo, San Bruno, San Carlos, San Leandro, San Mateo, San Pablo, San Rafael, Santa Clara, Saratoga, Sausalito, South San Francisco, Sunnyvale, Tiburon, Union City, Vallejo, Woodside Inland, Delta and Coastal: American Canyon, Antioch, Benicia, Brentwood, Calistoga, Clayton, Cloverdale, Concord, Cotati, Danville, Dixon, Dublin, Fairfield, Gilroy, Half Moon Bay, Healdsburg, Lafayette, Livermore, Martinez, Moraga, Morgan Hill, Napa, Novato, Oakley, Orinda, Petaluma, Pittsburg, Pleasant Hill, Pleasanton, Rio Vista, Rohnert Park, San Ramon, Santa Rosa, Sebastopol, Sonoma, St. Helena, Suisun City, Vacaville, Walnut Creek, Windsor, Yountville Unincorporated: all unincorporated towns

Canada CA: Population in Urban Agglomerations of More Than 1 Million: as % of Total Population data was reported at 44.799 % in 2024. This records an increase from the previous number of 44.786 % for 2023. Canada CA: Population in Urban Agglomerations of More Than 1 Million: as % of Total Population data is updated yearly, averaging 40.278 % from Dec 1960 (Median) to 2024, with 65 observations. The data reached an all-time high of 45.994 % in 2021 and a record low of 30.098 % in 1960. Canada CA: Population in Urban Agglomerations of More Than 1 Million: as % of Total Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Canada – Table CA.World Bank.WDI: Population and Urbanization Statistics. Population in urban agglomerations of more than one million is the percentage of a country's population living in metropolitan areas that in 2018 had a population of more than one million people.;United Nations, World Urbanization Prospects.;Weighted average;

This table contains 13 series, with data for years 1926 - 1960 (not all combinations necessarily have data for all years), and was last released on 2000-02-18. This table contains data described by the following dimensions (Not all combinations are available): Geography (13 items: Canada; Newfoundland and Labrador; Prince Edward Island; Nova Scotia ...).

Canada CA: Population: Male: Ages 60-64: % of Male Population data was reported at 6.798 % in 2022. This records an increase from the previous number of 6.754 % for 2021. Canada CA: Population: Male: Ages 60-64: % of Male Population data is updated yearly, averaging 4.121 % from Dec 1960 (Median) to 2022, with 63 observations. The data reached an all-time high of 6.798 % in 2022 and a record low of 3.162 % in 1960. Canada CA: Population: Male: Ages 60-64: % of Male Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Canada – Table CA.World Bank.WDI: Population and Urbanization Statistics. Male population between the ages 60 to 64 as a percentage of the total male population.;United Nations Population Division. World Population Prospects: 2022 Revision.;;

Canada CA: Population: Total: Aged 65 and Above data was reported at 7,762,172.000 Person in 2023. This records an increase from the previous number of 7,375,348.000 Person for 2022. Canada CA: Population: Total: Aged 65 and Above data is updated yearly, averaging 3,240,863.000 Person from Dec 1960 (Median) to 2023, with 64 observations. The data reached an all-time high of 7,762,172.000 Person in 2023 and a record low of 1,364,068.000 Person in 1960. Canada CA: Population: Total: Aged 65 and Above data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Canada – Table CA.World Bank.WDI: Population and Urbanization Statistics. Total population 65 years of age or older. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.;World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects: 2024 Revision.;Sum;

Graph and download economic data for Population for Madagascar (POPTTLMGA148NRUG) from 1960 to 2019 about Madagascar and population.

Graph and download economic data for Population for Cameroon (POPTTLCMA148NRUG) from 1960 to 2019 about Cameroon and population.

About this dataset

Context

The dataset tabulates the Fairfield population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Fairfield. The dataset can be utilized to understand the population distribution of Fairfield by age. For example, using this dataset, we can identify the largest age group in Fairfield.

Key observations

The largest age group in Fairfield, CA was for the group of age 40 to 44 years years with a population of 8,872 (7.39%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Fairfield, CA was the 80 to 84 years years with a population of 1,960 (1.63%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Fairfield is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Fairfield total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Fairfield Population by Age. You can refer the same here

Graph and download economic data for Population for Fiji (POPTTLFJA148NRUG) from 1960 to 2019 about Fiji and population.

Greater sage-grouse (Centrocercus urophasianus; hereinafter sage-grouse) is a sagebrush obligate species and widely considered an indicator species for sagebrush ecosystems and other sagebrush-dependent species (Hanser and Knick, 2011; Prochazka and others, 2023). Sagebrush ecosystems are threatened by a wide range of disturbances and anthropogenic factors, including climate change, severe drought, altered wildfire regimes, expansion of invasive species, and anthropogenic development. Collectively, these threats have led to reduced ecological integrity and sage-grouse habitat quality within the sagebrush biome (Doherty and others, 2022). Steady and long-term declines in sage-grouse populations have led to large-scale efforts to improve population performance and prevent additional loss of habitat for sage-grouse and other sagebrush-dependent species (Coates and others, 2021). Due to their complex space use and habitat selection patterns during different life stages, requirements for large intact tracts of sagebrush, declining population trends, and status as a proposed protected species, sage-grouse have become integral to land management and conservation policy throughout the western United States (Western Association of Fish and Wildlife Agencies, 2015; Doherty and others, 2022). References cited: Coates, P.S., Prochazka, B.G., Aldridge, C.L., O’Donnell, M.S., Edmunds, D.R., Monroe, A.P., Hanser, S.E., Wiechman, L.A., and Chenaille, M.P., 2023, Range-wide population trend analysis for greater sage-grouse (Centrocercus urophasianus)-Updated 1960-2022: U.S. Geological Survey Data Report 1175, 17 p., accessed December 7, 2023, at [Available at https://doi.org/10.3133/dr1175.] Doherty, K., Theobald, D.M., Bradford, J.B., Wiechman, L.A., Bedrosian, G., Boyd, C.S., Cahill, M., Coates, P.S., Creutzburg, M.K., Crist, M.R., Finn, S.P., Kumar, A.V., Littlefield, C.E., Maestas, J.D., Prentice, K.L., Prochazka, B.G., Remington, T.E., Sparklin, W.D., Tull, J.C., Wurtzebach, Z., and Zeller, K.A., 2022, A sagebrush conservation design to proactively restore America’s sagebrush biome: U.S. Geological Survey Open-File Report 2022-1081, 38 p., accessed December 6, 2023, at https://doi.org/10.3133/ofr20221081. Hanser, S.E., and Knick, S.T., 2011, Greater sage-grouse as an umbrella species for shrubland passerine birds-A multiscale assessment, chap. 19 in Knick, S.T., eds., Greater sage grouse-Ecology and conservation of a landscape species and its habitats: University of California Press, p. 474-487. [Available at https://doi.org/10.1525/california/9780520267114.003.0020.] Prochazka, B.G., Coates, P.S., O’Donnell, M.S., Edmunds, D.R., Monroe, A.P., Ricca, M.A., Wann, G.T., Hanser, S.E., Wiechman, L.A., Doherty, K.E., Chenaille, M.P., and Aldridge, C.L., 2023, A targeted annual warning system developed for the conservation of a sagebrush indicator species: Ecological Indicators, v. 148. [Available at https://doi.org/10.1016/j.ecolind.2023.110097.] Western Association of Fish and Wildlife Agencies, 2015, Greater sage-grouse population trends: an analysis of lek count databases 1965-2015: Cheyenne, Wyo., Western Association of Fish and Wildlife Agencies, 55 p., accessed 07 12, 2023, at https://ir.library.oregonstate.edu/concern/technical_reports/ng451p621

Graph and download economic data for Population for Comoros (POPTTLKMA148NRUG) from 1960 to 2019 about Comoros and population.

For several years, foreign immigration has been a hot topic in our political debate. However, the movement of people from one state to another can have an even bigger influence on our country's economy, politics and culture than immigration.These two charts depict where California residents were born, and where they have moved to. The ribbons are color-coded by region, and foreign-born residents are included at the bottom, in gray, to complete the picture for each state. We know that California has long been the destination of American dreamers from other states. These days, California no longer plays that role. Our residents are leaving for greener pastures out East.Today, the state is still pulling in foreign immigrants, but the percentage of American-born transplants has shrunk significantly as fewer people move into the state. In 1960, half of California residents were born in another United States' state. Today, that's down to 18 percent. There are growing pools of Californians in nearly every state. It's quite a switch because through 1990 California led the nation in retaining its native-born population. There are now about 6.8 million California natives living elsewhere, up from 2.7 million in 1980.