Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the San Jose 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 San Jose 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 San Jose was 461, a 1.07% decrease year-by-year from 2022. Previously, in 2022, San Jose population was 466, a decline of 1.69% compared to a population of 474 in 2021. Over the last 20 plus years, between 2000 and 2023, population of San Jose decreased by 249. In this period, the peak population was 710 in the year 2000. 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).
When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).
Data Coverage:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for San Jose Population by Year. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset presents the the household distribution across 16 income brackets among four distinct age groups in San Jose: Under 25 years, 25-44 years, 45-64 years, and over 65 years. The dataset highlights the variation in household income, offering valuable insights into economic trends and disparities within different age categories, aiding in data analysis and decision-making..
Key observations
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Income brackets:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for San Jose median household income by age. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Chart and table of population level and growth rate for the San Jose metro area from 1950 to 2025. United Nations population projections are also included through the year 2035.
In 2021, the population of the San Jose-Sunnyvale-Santa Clara metropolitan area in the United States was about 1.95 million people. This was a slight decrease from the previous year, when the population was about 1.97 people.
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Graph and download economic data for Population Estimate, Total, Not Hispanic or Latino, Two or More Races, Two Races Including Some Other Race (5-year estimate) in Santa Clara County, CA (B03002010E006085) from 2009 to 2023 about Santa Clara County, CA; San Jose; CA; non-hispanic; estimate; persons; 5-year; population; and USA.
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Graph and download economic data for Employed Persons in San Jose-Sunnyvale-Santa Clara, CA (MSA) (LAUMT064194000000005) from Jan 1990 to Dec 2024 about San Jose, CA, household survey, employment, persons, and USA.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Census Tracts data from the 2010 Census.
Data is published on Mondays on a weekly basis.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the population of San Jose by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for San Jose. The dataset can be utilized to understand the population distribution of San Jose by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in San Jose. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for San Jose.
Key observations
Largest age group (population): Male # 30-34 years (43,424) | Female # 30-34 years (35,659). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
Scope of gender :
Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for San Jose Population by Gender. You can refer the same here
In 2023, the gross domestic product (GDP) of the San Jose-Sunnyvale-Santa Clara metro area amounted to roughly 392.46 billion U.S. dollars. This was an increase from the previous year when the real GDP came to 385.01 billion U.S. dollars. San Jose is the third-largest city in California, the tenth-largest in the U.S., and the county seat of Santa Clara County. It is located at the southern end of San Francisco Bay. The San Jose-Sunnyvale-Santa Clara metro area had a population of around 1.95 in 2021.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This demographics data package is part of a 3 layer set for Tracts, Block Groups, and Blocks across all of Santa Clara County. A field is present in each to allow filtering for the geometries that are only in The City of San Jose. Each of the data layers contains the most commonly requested demographic fields from the U.S. Census/American Community Survey. Please note these fields are not exactly the same as found in the census tables, the goal was to standardize the field names so that they will always remain the same regardless of if the census changes the field names or range values. San Jose GIS Enterprise staff will update these fields once a year. Please check the field that states the last time it was updated and from what source. Please also note that Tracts has the most data fields, Block Groups slightly less, and Blocks has very few. The finer scaled geometries have less data available from the U.S. Census, so those fields were dropped.
Source: American Community Survey (ACS) 2021 5-year estimates
Data is updated annually.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This demographics data package is part of a 3 layer set for Tracts, Block Groups, and Blocks across all of Santa Clara County. A field is present in each to allow filtering for the geometries that are only in The City of San Jose. Each of the data layers contains the most commonly requested demographic fields from the U.S. Census/American Community Survey. Please note these fields are not exactly the same as found in the census tables, the goal was to standardize the field names so that they will always remain the same regardless of if the census changes the field names or range values. San Jose GIS Enterprise staff will update these fields once a year. Please check the field that states the last time it was updated and from what source. Please also note that Tracts has the most data fields, Block Groups slightly less, and Blocks has very few. The finer scaled geometries have less data available from the U.S. Census, so those fields were dropped.
Source: Census 2020
Data is updated every ten years from decennial census.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Population 16 years and over Poverty Rate Statistics for 2023. This is part of a larger dataset covering poverty in San Jose, California by age, education, race, gender, work experience and more.
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Graph and download economic data for Estimate of Median Household Income for Santa Clara County, CA (MHICA06085A052NCEN) from 1989 to 2023 about Santa Clara County, CA; San Jose; CA; households; median; income; and USA.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the population of San Jose by race. It includes the population of San Jose across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of San Jose across relevant racial categories.
Key observations
The percent distribution of San Jose population by race (across all racial categories recognized by the U.S. Census Bureau): 87.79% are white, 0.16% are Black or African American, 0.49% are American Indian and Alaska Native, 3.91% are Asian and 7.65% are multiracial.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.
Racial categories include:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for San Jose Population by Race & Ethnicity. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Hispanic Poverty Rate Statistics for 2023. This is part of a larger dataset covering poverty in San Jose, California by age, education, race, gender, work experience and more.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
In 2020, neighborhood boundaries were established throughout the City in partnership with Council offices. These neighborhoods are collections of one or more census block groups. Neighborhood boundaries are not expected to be updated unless census geographies change. However, each year a new neighborhood demographics dataset is produced that aggregates ACS estimates by neighborhood.
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Graph and download economic data for Population Estimate, Total, Hispanic or Latino, Two or More Races, Two Races Including Some Other Race (5-year estimate) in San Benito County, CA (B03002020E006069) from 2009 to 2023 about San Benito County, CA; San Jose; latino; hispanic; CA; estimate; persons; 5-year; population; and USA.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
San Jose is a city. It is in Philippines and has a population of 7,322 people.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset presents the the household distribution across 16 income brackets among four distinct age groups in San Jose: Under 25 years, 25-44 years, 45-64 years, and over 65 years. The dataset highlights the variation in household income, offering valuable insights into economic trends and disparities within different age categories, aiding in data analysis and decision-making..
Key observations
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2022 1-Year Estimates.
Income brackets:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for San Jose median household income by age. You can refer the same here
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Graph and download economic data for Single-Parent Households with Children as a Percentage of Households with Children (5-year estimate) in Santa Clara County, CA (S1101SPHOUSE006085) from 2009 to 2023 about Santa Clara County, CA; San Jose; single-parent; CA; households; 5-year; and USA.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the San Jose 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 San Jose 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 San Jose was 461, a 1.07% decrease year-by-year from 2022. Previously, in 2022, San Jose population was 466, a decline of 1.69% compared to a population of 474 in 2021. Over the last 20 plus years, between 2000 and 2023, population of San Jose decreased by 249. In this period, the peak population was 710 in the year 2000. 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).
When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).
Data Coverage:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for San Jose Population by Year. You can refer the same here