https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for Per Capita Personal Income in San Diego County, CA (PCPI06073) from 1969 to 2023 about San Diego County, CA; San Diego; personal income; per capita; CA; personal; income; and USA.
Comprehensive demographic dataset for San Diego, CA, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.
https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for Per Capita Personal Income in San Diego-Carlsbad, CA (MSA) (SAND706PCPI) from 1969 to 2023 about San Diego, personal income, per capita, CA, personal, 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 presents the detailed breakdown of the count of individuals within distinct income brackets, categorizing them by gender (men and women) and employment type - full-time (FT) and part-time (PT), offering valuable insights into the diverse income landscapes within San Diego. The dataset can be utilized to gain insights into gender-based income distribution within the San Diego population, 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
Employment type classifications include:
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 Diego median household income by race. 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 tabulates the San Diego household income by gender. The dataset can be utilized to understand the gender-based income distribution of San Diego income.
The dataset will have the following datasets when applicable
Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).
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/.
Explore our comprehensive data analysis and visual representations for a deeper understanding of San Diego income distribution by gender. 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
Per Capita Personal Income in San Diego County, CA was 79122.00000 $ in January of 2023, according to the United States Federal Reserve. Historically, Per Capita Personal Income in San Diego County, CA reached a record high of 79122.00000 in January of 2023 and a record low of 4728.00000 in January of 1969. Trading Economics provides the current actual value, an historical data chart and related indicators for Per Capita Personal Income in San Diego County, CA - last updated from the United States Federal Reserve on October of 2025.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
San Diego-Chula Vista-Carlsbad, CA - Real Per Capita Personal Income for San Diego-Carlsbad, CA (MSA) was 59017.00000 Chn. 2009 $ in January of 2023, according to the United States Federal Reserve. Historically, San Diego-Chula Vista-Carlsbad, CA - Real Per Capita Personal Income for San Diego-Carlsbad, CA (MSA) reached a record high of 59017.00000 in January of 2023 and a record low of 39148.00000 in January of 2010. Trading Economics provides the current actual value, an historical data chart and related indicators for San Diego-Chula Vista-Carlsbad, CA - Real Per Capita Personal Income for San Diego-Carlsbad, CA (MSA) - last updated from the United States Federal Reserve on September of 2025.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset presents median income data over a decade or more for males and females categorized by Total, Full-Time Year-Round (FT), and Part-Time (PT) employment in San Diego County. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time and part-time work. The dataset can be utilized to gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals.
Key observations: Insights from 2023
Based on our analysis ACS 2019-2023 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In San Diego County, the median income for all workers aged 15 years and older, regardless of work hours, was $54,015 for males and $37,119 for females.
These income figures highlight a substantial gender-based income gap in San Diego County. Women, regardless of work hours, earn 69 cents for each dollar earned by men. This significant gender pay gap, approximately 31%, underscores concerning gender-based income inequality in the county of San Diego County.
- Full-time workers, aged 15 years and older: In San Diego County, among full-time, year-round workers aged 15 years and older, males earned a median income of $75,020, while females earned $65,249, resulting in a 13% gender pay gap among full-time workers. This illustrates that women earn 87 cents for each dollar earned by men in full-time positions. While this gap shows a trend where women are inching closer to wage parity with men, it also exhibits a noticeable income difference for women working full-time in the county of San Diego County.Interestingly, when analyzing income across all roles, including non-full-time employment, the gender pay gap percentage was higher for women compared to men. It appears that full-time employment presents a more favorable income scenario for women compared to other employment patterns in San Diego County.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.
Gender classifications include:
Employment type classifications 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 Diego County median household income by race. You can refer the same here
https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for Per Capita Personal Income in San Antonio-New Braunfels, TX (MSA) (SANA748PCPI) from 1969 to 2023 about San Antonio, personal income, per capita, TX, personal, income, and USA.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
San Antonio, TX - Per Capita Personal Income in San Antonio-New Braunfels, TX (MSA) was 59477.00000 $ in January of 2023, according to the United States Federal Reserve. Historically, San Antonio, TX - Per Capita Personal Income in San Antonio-New Braunfels, TX (MSA) reached a record high of 59477.00000 in January of 2023 and a record low of 3520.00000 in January of 1969. Trading Economics provides the current actual value, an historical data chart and related indicators for San Antonio, TX - Per Capita Personal Income in San Antonio-New Braunfels, TX (MSA) - last updated from the United States Federal Reserve on October of 2025.
https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for Per Capita Personal Income in Bexar County, TX (PCPI48029) from 1969 to 2023 about Bexar County, TX; San Antonio; personal income; per capita; TX; personal; income; and USA.
https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for Per Capita Personal Income in Kendall County, TX (PCPI48259) from 1969 to 2023 about Kendall County, TX; San Antonio; personal income; per capita; TX; personal; income; and USA.
https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for Per Capita Personal Income in Medina County, TX (PCPI48325) from 1969 to 2023 about Medina County, TX; San Antonio; personal income; per capita; TX; personal; income; and USA.
https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for Per Capita Personal Income in Atascosa County, TX (PCPI48013) from 1969 to 2023 about Atascosa County, TX; San Antonio; personal income; TX; per capita; personal; income; and USA.
https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for Per Capita Personal Income in Guadalupe County, TX (PCPI48187) from 1969 to 2023 about Guadalupe County, TX; San Antonio; personal income; TX; per capita; personal; income; and USA.
https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for Per Capita Personal Income in Bandera County, TX (PCPI48019) from 1969 to 2023 about Bandera County, TX; San Antonio; personal income; per capita; TX; personal; 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 presents median income data over a decade or more for males and females categorized by Total, Full-Time Year-Round (FT), and Part-Time (PT) employment in San Antonio. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time and part-time work. The dataset can be utilized to gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals.
Key observations: Insights from 2023
Based on our analysis ACS 2019-2023 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In San Antonio, the median income for all workers aged 15 years and older, regardless of work hours, was $39,314 for males and $28,733 for females.
These income figures indicate a substantial gender-based pay disparity, showcasing a gap of approximately 27% between the median incomes of males and females in San Antonio. With women, regardless of work hours, earning 73 cents to each dollar earned by men, this income disparity reveals a concerning trend toward wage inequality that demands attention in thecity of San Antonio.
- Full-time workers, aged 15 years and older: In San Antonio, among full-time, year-round workers aged 15 years and older, males earned a median income of $54,514, while females earned $46,298, resulting in a 15% gender pay gap among full-time workers. This illustrates that women earn 85 cents for each dollar earned by men in full-time positions. While this gap shows a trend where women are inching closer to wage parity with men, it also exhibits a noticeable income difference for women working full-time in the city of San Antonio.Interestingly, when analyzing income across all roles, including non-full-time employment, the gender pay gap percentage was higher for women compared to men. It appears that full-time employment presents a more favorable income scenario for women compared to other employment patterns in San Antonio.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.
Gender classifications include:
Employment type classifications 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 Antonio median household income by race. 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 detailed breakdown of the count of individuals within distinct income brackets, categorizing them by gender (men and women) and employment type - full-time (FT) and part-time (PT), offering valuable insights into the diverse income landscapes within San Antonio. The dataset can be utilized to gain insights into gender-based income distribution within the San Antonio population, 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
Employment type classifications include:
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 Antonio median household income by race. You can refer the same here
Not seeing a result you expected?
Learn how you can add new datasets to our index.
https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for Per Capita Personal Income in San Diego County, CA (PCPI06073) from 1969 to 2023 about San Diego County, CA; San Diego; personal income; per capita; CA; personal; income; and USA.