In 2022, San Francisco had the highest median household income of cities ranking within the top 25 in terms of population, with a median household income in of 136,692 U.S. dollars. In that year, San Jose in California was ranked second, and Seattle, Washington third.

Following a fall after the great recession, median household income in the United States has been increasing in recent years. As of 2022, median household income by state was highest in Maryland, Washington, D.C., Utah, and Massachusetts. It was lowest in Mississippi, West Virginia, and Arkansas. Families with an annual income of 25,000 and 49,999 U.S. dollars made up the largest income bracket in America, with about 25.26 million households.

Data on median household income can be compared to statistics on personal income in the U.S. released by the Bureau of Economic Analysis. Personal income rose to around 21.8 trillion U.S. dollars in 2022, the highest value recorded. Personal income is a measure of the total income received by persons from all sources, while median household income is “the amount with divides the income distribution into two equal groups,” according to the U.S. Census Bureau. Half of the population in question lives above median income and half lives below. Though total personal income has increased in recent years, this wealth is not distributed throughout the population. In practical terms, income of most households has decreased. One additional statistic illustrates this disparity: for the lowest quintile of workers, mean household income has remained more or less steady for the past decade at about 13 to 16 thousand constant U.S. dollars annually. Meanwhile, income for the top five percent of workers has actually risen from about 285,000 U.S. dollars in 1990 to about 499,900 U.S. dollars in 2020.

About this dataset

Context

The dataset tabulates the median household income in San Francisco County. It can be utilized to understand the trend in median household income and to analyze the income distribution in San Francisco County by household type, size, and across various income brackets.

Content

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).

• San Francisco County, CA Median Household Income Trends (2010-2021, in 2022 inflation-adjusted dollars)
• Median Household Income Variation by Family Size in San Francisco County, CA: Comparative analysis across 7 household sizes
• Income Distribution by Quintile: Mean Household Income in San Francisco County, CA
• San Francisco County, CA households by income brackets: family, non-family, and total, in 2022 inflation-adjusted dollars

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/.

Interested in deeper insights and visual analysis?

Explore our comprehensive data analysis and visual representations for a deeper understanding of San Francisco County median household income. You can refer the same here

Graph and download economic data for Estimate of Related Children Age 5-17 in Families in Poverty for San Francisco County/City, CA (PE5T17CA06075A647NCEN) from 1989 to 2023 about San Francisco County/City, CA; San Francisco; 5 to 17 years; family; CA; child; poverty; persons; and USA.

About this dataset

Context

The dataset presents median household incomes for various household sizes in San Francisco, CA, as reported by the U.S. Census Bureau. The dataset highlights the variation in median household income with the size of the family unit, offering valuable insights into economic trends and disparities within different household sizes, aiding in data analysis and decision-making.

Key observations

• Of the 7 household sizes (1 person to 7-or-more person households) reported by the census bureau, all of the household sizes were found in San Francisco. Across the different household sizes in San Francisco the mean income is $171,637, and the standard deviation is $54,767. The coefficient of variation (CV) is 31.91%. This high CV indicates high relative variability, suggesting that the incomes vary significantly across different sizes of households.
• In the most recent year, 2021, The smallest household size for which the bureau reported a median household income was 1-person households, with an income of $80,701. It then further increased to $224,026 for 7-person households, the largest household size for which the bureau reported a median household income.

https://i.neilsberg.com/ch/san-francisco-ca-median-household-income-by-household-size.jpeg" alt="San Francisco, CA median household income, by household size (in 2022 inflation-adjusted dollars)">

Content

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

Household Sizes:

• 1-person households
• 2-person households
• 3-person households
• 4-person households
• 5-person households
• 6-person households
• 7-or-more-person households

Variables / Data Columns

• Household Size: This column showcases 7 household sizes ranging from 1-person households to 7-or-more-person households (As mentioned above).
• Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific household size.

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 Francisco median household income. You can refer the same here

Graph and download economic data for 90% Confidence Interval Upper Bound of Estimate of Related Children Age 5-17 in Families in Poverty for San Francisco County/City, CA (PECIUB5T17CA06075A647NCEN) from 1989 to 2023 about San Francisco County/City, CA; San Francisco; 5 to 17 years; family; CA; child; poverty; persons; and USA.

There is more to housing affordability than the rent or mortgage you pay. Transportation costs are the second-biggest budget item for most families, but it can be difficult for people to fully factor transportation costs into decisions about where to live and work. The Location Affordability Index (LAI) is a user-friendly source of standardized data at the neighborhood (census tract) level on combined housing and transportation costs to help consumers, policymakers, and developers make more informed decisions about where to live, work, and invest. Compare eight household profiles (see table below) —which vary by household income, size, and number of commuters—and see the impact of the built environment on affordability in a given location while holding household demographics constant.*$11,880 for a single person household in 2016 according to US Dept. of Health and Human Services: https://aspe.hhs.gov/computations-2016-poverty-guidelinesThis layer is symbolized by the percentage of housing and transportation costs as a percentage of income for the Median-Income Family profile, but the costs as a percentage of income for all household profiles are listed in the pop-up:Also available is a gallery of 8 web maps (one for each household profile) all symbolized the same way for easy comparison: Median-Income Family, Very Low-Income Individual, Working Individual, Single Professional, Retired Couple, Single-Parent Family, Moderate-Income Family, and Dual-Professional Family.An accompanying story map provides side-by-side comparisons and additional context.--Variables used in HUD's calculations include 24 measures such as people per household, average number of rooms per housing unit, monthly housing costs (mortgage/rent as well as utility and maintenance expenses), average number of cars per household, median commute distance, vehicle miles traveled per year, percent of trips taken on transit, street connectivity and walkability (measured by block density), and many more.To learn more about the Location Affordability Index (v.3) visit: https://www.hudexchange.info/programs/location-affordability-index/. There you will find some background and an FAQ page, which includes the question:"Manhattan, San Francisco, and downtown Boston are some of the most expensive places to live in the country, yet the LAI shows them as affordable for the typical regional household. Why?" These areas have some of the lowest transportation costs in the country, which helps offset the high cost of housing. The area median income (AMI) in these regions is also high, so when costs are shown as a percent of income for the typical regional household these neighborhoods appear affordable; however, they are generally unaffordable to households earning less than the AMI.Date of Coverage: 2012-2016 Date Released: March 2019Date Downloaded from HUD Open Data: 4/18/19Further Documentation:LAI Version 3 Data and MethodologyLAI Version 3 Technical Documentation_**The documentation below is in reference to this items placement in the NM Supply Chain Data Hub. The documentation is of use to understanding the source of this item, and how to reproduce it for updates**

Title: Location Affordability Index - NMCDC Copy

Summary: This layer contains the Location Affordability Index from U.S. Dept. of Housing and Urban Development (HUD) - standardized household, housing, and transportation cost estimates by census tract for 8 household profiles.

Notes: This map is copied from source map: https://nmcdc.maps.arcgis.com/home/item.html?id=de341c1338c5447da400c4e8c51ae1f6, created by dianaclavery_uo, and identified in Living Atlas.

Prepared by: dianaclavery_uo, copied by EMcRae_NMCDC

Source: This map is copied from source map: https://nmcdc.maps.arcgis.com/home/item.html?id=de341c1338c5447da400c4e8c51ae1f6, created by dianaclavery_uo, and identified in Living Atlas. Check the source documentation or other details above for more information about data sources.

Feature Service: https://nmcdc.maps.arcgis.com/home/item.html?id=447a461f048845979f30a2478b9e65bb

UID: 73

Data Requested: Family income spent on basic need

Method of Acquisition: Search for Location Affordability Index in the Living Atlas. Make a copy of most recent map available. To update this map, copy the most recent map available. In a new tab, open the AGOL Assistant Portal tool and use the functions in the portal to copy the new maps JSON, and paste it over the old map (this map with item id

Date Acquired: Map copied on May 10, 2022

Priority rank as Identified in 2022 (scale of 1 being the highest priority, to 11 being the lowest priority): 6

Tags: PENDING

Graph and download economic data for Estimate of Related Children Age 5-17 in Families in Poverty for Marin County, CA (PE5T17CA06041A647NCEN) from 1989 to 2023 about Marin County, CA; San Francisco; 5 to 17 years; family; CA; child; poverty; persons; and USA.

Graph and download economic data for Estimated Percent of Related Children Age 5-17 in Families in Poverty for San Mateo County, CA (PP5T17CA06081A156NCEN) from 1989 to 2023 about San Mateo County, CA; San Francisco; 5 to 17 years; family; CA; percent; child; poverty; and USA.

Graph and download economic data for 90% Confidence Interval Lower Bound of Estimate of Percent of Related Children Age 5-17 in Families in Poverty for San Mateo County, CA (PPCILB5T17CA06081A156NCEN) from 1989 to 2023 about San Mateo County, CA; San Francisco; 5 to 17 years; family; CA; percent; child; poverty; and USA.

Graph and download economic data for 90% Confidence Interval Upper Bound of Estimate of Related Children Age 5-17 in Families in Poverty for Alameda County, CA (PECIUB5T17CA06001A647NCEN) from 1989 to 2023 about Alameda County, CA; San Francisco; 5 to 17 years; family; CA; child; poverty; persons; and USA.

Graph and download economic data for Estimate of Related Children Age 5-17 in Families in Poverty for Alameda County, CA (PE5T17CA06001A647NCEN) from 1989 to 2023 about Alameda County, CA; San Francisco; 5 to 17 years; family; CA; child; poverty; persons; and USA.

Graph and download economic data for 90% Confidence Interval Lower Bound of Estimate of Related Children Age 5-17 in Families in Poverty for Marin County, CA (PECILB5T17CA06041A647NCEN) from 1989 to 2023 about Marin County, CA; San Francisco; 5 to 17 years; family; CA; child; poverty; persons; and USA.

Graph and download economic data for 90% Confidence Interval Upper Bound of Estimate of Related Children Age 5-17 in Families in Poverty for Contra Costa County, CA (PECIUB5T17CA06013A647NCEN) from 1989 to 2023 about Contra Costa County, CA; San Francisco; 5 to 17 years; family; CA; child; poverty; persons; and USA.

Graph and download economic data for Estimated Percent of Related Children Age 5-17 in Families in Poverty for Contra Costa County, CA (PP5T17CA06013A156NCEN) from 1989 to 2023 about Contra Costa County, CA; San Francisco; 5 to 17 years; family; CA; percent; child; poverty; and USA.