About this dataset

Context

The dataset tabulates the Santa Clara County population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Santa Clara County across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2023, the population of Santa Clara County was 1.88 million, a 0.04% decrease year-by-year from 2022. Previously, in 2022, Santa Clara County population was 1.88 million, a decline of 0.36% compared to a population of 1.89 million in 2021. Over the last 20 plus years, between 2000 and 2023, population of Santa Clara County increased by 191,743. In this period, the peak population was 1.93 million in the year 2017. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the Santa Clara County is shown in this column.
• Year on Year Change: This column displays the change in Santa Clara County population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. 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 Santa Clara County Population by Year. You can refer the same here

Graph and download economic data for Resident Population in Santa Clara County, CA (CASANT5POP) from 1970 to 2024 about Santa Clara County, CA; San Jose; residents; CA; population; and USA.

Comprehensive demographic dataset for Santa Clara County, CA, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

Graph and download economic data for Population Estimate, Total, Not Hispanic or Latino (5-year estimate) in Santa Clara County, CA (B03002002E006085) from 2009 to 2023 about Santa Clara County, CA; San Jose; non-hispanic; estimate; CA; 5-year; persons; population; and USA.

About this dataset

Context

The dataset tabulates the Santa Clara 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 Santa Clara. The dataset can be utilized to understand the population distribution of Santa Clara by age. For example, using this dataset, we can identify the largest age group in Santa Clara.

Key observations

The largest age group in Santa Clara, CA was for the group of age 30 to 34 years years with a population of 15,852 (12.27%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Santa Clara, CA was the 80 to 84 years years with a population of 1,672 (1.29%). 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 Santa Clara is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Santa Clara 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 Santa Clara Population by Age. You can refer the same here

Graph and download economic data for Estimate, Median Age by Sex, Total Population (5-year estimate) in Santa Clara County, CA (B01002001E006085) from 2009 to 2023 about Santa Clara County, CA; San Jose; age; CA; 5-year; median; and USA.

Graph and download economic data for Percent of Population Below the Poverty Level (5-year estimate) in Santa Clara County, CA (S1701ACS006085) from 2012 to 2023 about Santa Clara County, CA; San Jose; poverty; percent; CA; 5-year; population; and USA.

About this dataset

Context

The dataset tabulates the data for the Santa Clara County, CA population pyramid, which represents the Santa Clara County population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey 5-Year estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.

Key observations

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Santa Clara County, CA, is 26.5.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Santa Clara County, CA, is 19.8.
• Total dependency ratio for Santa Clara County, CA is 46.3.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Santa Clara County, CA is 5.0.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 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 for the Santa Clara County population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Santa Clara County for the selected age group is shown in the following column.
• Population (Female): The female population in the Santa Clara County for the selected age group is shown in the following column.
• Total Population: The total population of the Santa Clara County for the selected age group is shown in the following column.

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 Santa Clara County Population by Age. You can refer the same here

Graph and download economic data for Population Estimate, Total, Not Hispanic or Latino, Some Other Race Alone (5-year estimate) in Santa Clara County, CA (B03002008E006085) from 2009 to 2023 about Santa Clara County, CA; San Jose; non-hispanic; estimate; CA; 5-year; persons; population; and USA.

U.S. Census Bureau QuickFacts statistics for Santa Clara County, California. QuickFacts data are derived from: Population Estimates, American Community Survey, Census of Population and Housing, Current Population Survey, Small Area Health Insurance Estimates, Small Area Income and Poverty Estimates, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, Building Permits.

About this dataset

Context

This list ranks the 15 cities in the Santa Clara County, CA by White population, as estimated by the United States Census Bureau. It also highlights population changes in each cities over the past five years.

Content

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

• 2019-2023 American Community Survey 5-Year Estimates
• 2018-2022 American Community Survey 5-Year Estimates
• 2017-2021 American Community Survey 5-Year Estimates
• 2016-2020 American Community Survey 5-Year Estimates
• 2015-2019 American Community Survey 5-Year Estimates

Variables / Data Columns

• Rank by White Population: This column displays the rank of cities in the Santa Clara County, CA by their White population, using the most recent ACS data available.
• cities: The cities for which the rank is shown in the previous column.
• White Population: The White population of the cities is shown in this column.
• % of Total cities Population: This shows what percentage of the total cities population identifies as White. Please note that the sum of all percentages may not equal one due to rounding of values.
• % of Total Santa Clara County White Population: This tells us how much of the entire Santa Clara County, CA White population lives in that cities. Please note that the sum of all percentages may not equal one due to rounding of values.
• 5 Year Rank Trend: TThis column displays the rank trend across the last 5 years.

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/.

The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Face refers to the areal (polygon) topological primitives that make up MTDB. A face is bounded by one or more edges; its boundary includes only the edges that separate it from other faces, not any interior edges contained within the area of the face. The Topological Faces Shapefile contains the attributes of each topological primitive face. Each face has a unique topological face identifier (TFID) value. Each face in the shapefile includes the key geographic area codes for all geographic areas for which the Census Bureau tabulates data for both the 2020 Census and the annual estimates and surveys. The geometries of each of these geographic areas can then be built by dissolving the face geometries on the appropriate key geographic area codes in the Topological Faces Shapefile.

This resource is a member of a series. The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) System (MTS). The MTS represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The All Roads shapefile includes all features within the MTS Super Class "Road/Path Features" distinguished where the MAF/TIGER Feature Classification Code (MTFCC) for the feature in the MTS that begins with "S". This includes all primary, secondary, local neighborhood, and rural roads, city streets, vehicular trails (4wd), ramps, service drives, alleys, parking lot roads, private roads for service vehicles (logging, oil fields, ranches, etc.), bike paths or trails, bridle/horse paths, walkways/pedestrian trails, and stairways.

The Santa Clara County Planning Office is part of the Department of Planning and Development. Their primary function is to plan and regulate land use and development within the unincorporated portions of Santa Clara County. Other responsibilities include policy analysis, GIS services, research and technical assistance relating to land use, housing, environmental protection, historic preservation and demographics. The Geographic Information Services Department has taken on all those activities related to GIS data and GIS process and procedures that cross organizational boundaries. Santa Clara County encompasses 15 cities and approximately 1.7 million people. This coverage can be used for basic applications such as viewing, querying, and map output production, or to provide a basemap to support graphical overlays and analyses of geospatial data.

This is the 2010 census data downloaded from the census website. It has been projected into NAD 1983 2011 StatePlane California III

The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) System (MTS). The MTS represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The Census Bureau includes landmarks in the MTS for locating special features and to help enumerators during field operations. Some of the more common landmark types include airports, cemeteries, parks, schools, and churches and other religious institutions. The Census Bureau adds landmark features to MTS on an as-needed basis and does not ensure that all instances of a particular feature are included. The presence or absence of a landmark such as a hospital or prison does not mean that the living quarters associated with that landmark were geocoded to that census tabulation block or excluded from the census enumeration. The Area Landmark shapefile does not include military installations or water bodies because they appear in their own separate shapefiles, mil.shp and areawater.shp respectively.

Resident Population in Santa Clara County, CA was 1926.32500 Thous. of Persons in January of 2024, according to the United States Federal Reserve. Historically, Resident Population in Santa Clara County, CA reached a record high of 1932.25100 in January of 2017 and a record low of 1065.31300 in January of 1970. Trading Economics provides the current actual value, an historical data chart and related indicators for Resident Population in Santa Clara County, CA - last updated from the United States Federal Reserve on November of 2025.

Comprehensive demographic dataset for Alviso, CA, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

Population Estimate, Total, Not Hispanic or Latino, White Alone (5-year estimate) in Santa Clara County, CA was 537099.00000 Persons in January of 2023, according to the United States Federal Reserve. Historically, Population Estimate, Total, Not Hispanic or Latino, White Alone (5-year estimate) in Santa Clara County, CA reached a record high of 664913.00000 in January of 2009 and a record low of 537099.00000 in January of 2023. Trading Economics provides the current actual value, an historical data chart and related indicators for Population Estimate, Total, Not Hispanic or Latino, White Alone (5-year estimate) in Santa Clara County, CA - last updated from the United States Federal Reserve on November of 2025.