About this dataset

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 969,655, a 0.25% decrease year-by-year from 2022. Previously, in 2022, San Jose population was 972,082, a decline of 0.93% compared to a population of 981,214 in 2021. Over the last 20 plus years, between 2000 and 2023, population of San Jose increased by 63,303. In this period, the peak population was 1.04 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 San Jose is shown in this column.
• Year on Year Change: This column displays the change in San Jose 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 San Jose Population by Year. You can refer the same here

About this dataset

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

• Upon closer examination of the distribution of households among age brackets, it reveals that there are 7,843(2.40%) households where the householder is under 25 years old, 119,474(36.56%) households with a householder aged between 25 and 44 years, 126,800(38.80%) households with a householder aged between 45 and 64 years, and 72,650(22.23%) households where the householder is over 65 years old.
• The age group of 25 to 44 years exhibits the highest median household income, while the largest number of households falls within the 45 to 64 years bracket. This distribution hints at economic disparities within the city of San Jose, showcasing varying income levels among different age demographics.

Content

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

Income brackets:

• Less than $10,000
• $10,000 to $14,999
• $15,000 to $19,999
• $20,000 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $59,999
• $60,000 to $74,999
• $75,000 to $99,999
• $100,000 to $124,999
• $125,000 to $149,999
• $150,000 to $199,999
• $200,000 or more

Variables / Data Columns

• Household Income: This column showcases 16 income brackets ranging from Under $10,000 to $200,000+ ( As mentioned above).
• Under 25 years: The count of households led by a head of household under 25 years old with income within a specified income bracket.
• 25 to 44 years: The count of households led by a head of household 25 to 44 years old with income within a specified income bracket.
• 45 to 64 years: The count of households led by a head of household 45 to 64 years old with income within a specified income bracket.
• 65 years and over: The count of households led by a head of household 65 years and over old with income within a specified income bracket.

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 San Jose median household income by age. You can refer the same here

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.

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.

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.

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.

About this dataset

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.

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

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

• Age Group: This column displays the age group for the San Jose population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the San Jose is shown in the following column.
• Population (Female): The female population in the San Jose is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in San Jose for each age group.

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 San Jose Population by Gender. You can refer the same here

About this dataset

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

• Upon closer examination of the distribution of households among age brackets, it reveals that there are 10,379(3.16%) households where the householder is under 25 years old, 120,200(36.56%) households with a householder aged between 25 and 44 years, 125,563(38.19%) households with a householder aged between 45 and 64 years, and 72,617(22.09%) households where the householder is over 65 years old.
• The age group of 25 to 44 years exhibits the highest median household income, while the largest number of households falls within the 45 to 64 years bracket. This distribution hints at economic disparities within the city of San Jose, showcasing varying income levels among different age demographics.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2022 1-Year Estimates.

Income brackets:

• Less than $10,000
• $10,000 to $14,999
• $15,000 to $19,999
• $20,000 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $59,999
• $60,000 to $74,999
• $75,000 to $99,999
• $100,000 to $124,999
• $125,000 to $149,999
• $150,000 to $199,999
• $200,000 or more

Variables / Data Columns

• Household Income: This column showcases 16 income brackets ranging from Under $10,000 to $200,000+ ( As mentioned above).
• Under 25 years: The count of households led by a head of household under 25 years old with income within a specified income bracket.
• 25 to 44 years: The count of households led by a head of household 25 to 44 years old with income within a specified income bracket.
• 45 to 64 years: The count of households led by a head of household 45 to 64 years old with income within a specified income bracket.
• 65 years and over: The count of households led by a head of household 65 years and over old with income within a specified income bracket.

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 San Jose median household income by age. 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.

Employed 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.

About this dataset

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): 34.83% are white, 2.97% are Black or African American, 0.76% are American Indian and Alaska Native, 37.50% are Asian, 0.46% are Native Hawaiian and other Pacific Islander, 13.04% are some other race and 10.44% are multiracial.

https://i.neilsberg.com/ch/san-jose-ca-population-by-race.jpeg" alt="San Jose population by race">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (excluding ethnicity) for the San Jose
• Population: The population of the racial category (excluding ethnicity) in the San Jose is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of San Jose 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 San Jose Population by Race & Ethnicity. You can refer the same here

About this dataset

Context

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

Key observations

The largest age group in San Jose, CA was for the group of age 30 to 34 years years with a population of 79,083 (7.99%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in San Jose, CA was the 80 to 84 years years with a population of 16,543 (1.67%). 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 San Jose is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of San Jose 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 San Jose Population by Age. You can refer the same here

Graph and download economic data for Population Estimate, Total, Not Hispanic or Latino, White Alone (5-year estimate) in Santa Clara County, CA (B03002003E006085) from 2009 to 2023 about Santa Clara County, CA; San Jose; white; CA; non-hispanic; estimate; persons; 5-year; population; and USA.

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.

Period of migration by origin shows how many people who entered the U.S. were born in the country and are currently residing in San Jose, CA.

35 to 44 years 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.

60 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.