Graph and download economic data for Estimate of Median Household Income for Alameda County, CA (MHICA06001A052NCEN) from 1989 to 2023 about Alameda County, CA; San Francisco; CA; households; median; income; and USA.

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 presents the the household distribution across 16 income brackets among four distinct age groups in San Francisco County: 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 11,467(3.17%) households where the householder is under 25 years old, 149,304(41.25%) households with a householder aged between 25 and 44 years, 114,032(31.51%) households with a householder aged between 45 and 64 years, and 87,109(24.07%) households where the householder is over 65 years old.
• In San Francisco County, the age group of 25 to 44 years stands out with both the highest median income and the maximum share of households. This alignment suggests a financially stable demographic, indicating an established community with stable careers and higher incomes.

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 Francisco County median household income by age. You can refer the same here

VITAL SIGNS INDICATOR
Income (EC4)

FULL MEASURE NAME
Household income by place of residence

LAST UPDATED
January 2023

DESCRIPTION
Income reflects the median earnings of individuals and households from employment, as well as the income distribution by quintile. Income data highlight how employees are being compensated for their work on an inflation-adjusted basis.

DATA SOURCE
U.S. Census Bureau: Decennial Census - https://nhgis.org
Count 4Pb (1970)
Form STF3 (1980-1990)
Form SF3a (2000)

U.S. Census Bureau: American Community Survey - https://data.census.gov/
Form B19001 (2005-2021; household income by place of residence)
Form B19013 (2005-2021; median household income by place of residence)
Form B08521 (2005-2021; median worker earnings by place of employment)

Bureau of Labor Statistics: Consumer Price Index - https://www.bls.gov/data/
1970-2021

CONTACT INFORMATION
vitalsigns.info@bayareametro.gov

METHODOLOGY NOTES (across all datasets for this indicator)
Income derived from the decennial Census data reflects the income earned in the prior calendar year, whereas income derived from the American Community Survey (ACS) data reflects the prior 12 month period; note that this inconsistency has a minor effect on historical comparisons (see Income and Earnings Data section of the ACS General Handbook - https://www.census.gov/content/dam/Census/library/publications/2020/acs/acs_general_handbook_2020_ch09.pdf). ACS 1-year data is used for larger geographies – Bay counties and most metropolitan area counties – while smaller geographies rely upon 5-year rolling average data due to their smaller sample sizes. Note that 2020 data uses the 5-year estimates because the ACS did not collect 1-year data for 2020.

Quintile income for 1970-2000 is imputed from decennial Census data using methodology from the California Department of Finance. Bay Area income is the population weighted average of county-level income.

Income has been inflated using the Consumer Price Index (CPI) for 2021 specific to each metro area; however, some metro areas lack metro-specific CPI data back to 1970 and therefore adjusted data uses national CPI for 1970. Note that current MSA boundaries were used for historical comparison by identifying counties included in today’s metro areas.

Feature layer generated from running the Join Features solution

In 2023, the median household income in California amounted to 89,870 U.S. dollars. This is an increase from the previous year, when the median household income in the state was 85,300 U.S. dollars. Median household income for the United States can be accessed here.

VITAL SIGNS INDICATOR
Income (EC4)

FULL MEASURE NAME
Household income by place of residence

LAST UPDATED
January 2023

DESCRIPTION
Income reflects the median earnings of individuals and households from employment, as well as the income distribution by quintile. Income data highlight how employees are being compensated for their work on an inflation-adjusted basis.

DATA SOURCE
U.S. Census Bureau: Decennial Census - https://nhgis.org
Count 4Pb (1970)
Form STF3 (1980-1990)
Form SF3a (2000)

U.S. Census Bureau: American Community Survey - https://data.census.gov/
Form B19001 (2005-2021; household income by place of residence)
Form B19013 (2005-2021; median household income by place of residence)
Form B08521 (2005-2021; median worker earnings by place of employment)

Bureau of Labor Statistics: Consumer Price Index - https://www.bls.gov/data/
1970-2021

CONTACT INFORMATION
vitalsigns.info@bayareametro.gov

METHODOLOGY NOTES (across all datasets for this indicator)
Income derived from the decennial Census data reflects the income earned in the prior calendar year, whereas income derived from the American Community Survey (ACS) data reflects the prior 12 month period; note that this inconsistency has a minor effect on historical comparisons (see Income and Earnings Data section of the ACS General Handbook - https://www.census.gov/content/dam/Census/library/publications/2020/acs/acs_general_handbook_2020_ch09.pdf). ACS 1-year data is used for larger geographies – Bay counties and most metropolitan area counties – while smaller geographies rely upon 5-year rolling average data due to their smaller sample sizes. Note that 2020 data uses the 5-year estimates because the ACS did not collect 1-year data for 2020.

Quintile income for 1970-2000 is imputed from decennial Census data using methodology from the California Department of Finance. Bay Area income is the population weighted average of county-level income.

Income has been inflated using the Consumer Price Index (CPI) for 2021 specific to each metro area; however, some metro areas lack metro-specific CPI data back to 1970 and therefore adjusted data uses national CPI for 1970. Note that current MSA boundaries were used for historical comparison by identifying counties included in today’s metro areas.

Graph and download economic data for Estimate of Median Household Income for Bay County, FL (MHIFL12005A052NCEN) from 1989 to 2023 about Bay County, FL; Panama City; FL; households; median; income; and USA.

About this dataset

Context

The dataset presents the median household income across different racial categories in San Francisco township. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to gain insights into economic disparities and trends and explore the variations in median houshold income for diverse racial categories.

Key observations

Based on our analysis of the distribution of San Francisco township population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 95.31% of the total residents in San Francisco township. Notably, the median household income for White households is $133,763. Interestingly, White is both the largest group and the one with the highest median household income, which stands at $133,763.

https://i.neilsberg.com/ch/san-francisco-township-mn-median-household-income-by-race.jpeg" alt="San Francisco township median household income diversity across racial categories">

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 of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in San Francisco township.
• Median household income: Median household income, adjusting for inflation, presented 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/.

Recommended for further research

This dataset is a part of the main dataset for San Francisco township median household income by race. You can refer the same here

California State Income Limits reflect updated median income and household income levels for acutely low-, extremely low-, very low-, low- and moderate-income households for California’s 58 counties (required by Health and Safety Code Section 50093). These income limits apply to State and local affordable housing programs statutorily linked to HUD income limits and differ from income limits applicable to other specific federal, State, or local programs.

About this dataset

Context

The dataset presents a breakdown of households across various income brackets in San Francisco County, CA, as reported by the U.S. Census Bureau. The Census Bureau classifies households into different categories, including total households, family households, and non-family households. Our analysis of U.S. Census Bureau American Community Survey data for San Francisco County, CA reveals how household income distribution varies among these categories. The dataset highlights the variation in number of households with income, offering valuable insights into the distribution of San Francisco County households based on income levels.

Key observations

• For Family Households: In San Francisco County, the majority of family households, representing 42.29%, earn $200,000 or more, showcasing a substantial share of the community families falling within this income bracket. Conversely, the minority of family households, comprising 1.39%, have incomes falling $35,000 to $39,999, representing a smaller but still significant segment of the community.
• For Non-Family Households: In San Francisco County, the majority of non-family households, accounting for 29.28%, have income $200,000 or more, indicating that a substantial portion of non-family households falls within this income bracket. On the other hand, the minority of non-family households, comprising 1.81%, earn $35,000 to $39,999, representing a smaller, yet notable, portion of non-family households in the community.

Content

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

Income Levels:

• 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
• $125,000 to $149,999
• $150,000 to $199,999
• $200,000 or more

Variables / Data Columns

• Income Level: The income level represents the income brackets ranging from Less than $10,000 to $200,000 or more in San Francisco County, CA (As mentioned above).
• All Households: Count of households for the specified income level
• % All Households: Percentage of households at the specified income level relative to the total households in San Francisco County, CA
• Family Households: Count of family households for the specified income level
• % Family Households: Percentage of family households at the specified income level relative to the total family households in San Francisco County, CA
• Non-Family Households: Count of non-family households for the specified income level
• % Non-Family Households: Percentage of non-family households at the specified income level relative to the total non-family households in San Francisco County, CA

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 County median household income. You can refer the same here

VITAL SIGNS INDICATOR Income (EC5)

FULL MEASURE NAME Worker income by workplace (earnings)

LAST UPDATED October 2016

DESCRIPTION Income reflects the median earnings of individuals and households from employment, as well as the income distribution by quintile. Income data highlight how employees are being compensated for their work on an inflation-adjusted basis.

DATA SOURCE U.S. Census Bureau: Decennial Census Count 4Pb (1970) Form STF3 (1980-1990) Form SF3a (2000) https://nhgis.org

U.S. Census Bureau: American Community Survey Form B08521 (2006-2015; place of employment) http://api.census.gov

Bureau of Labor Statistics: Consumer Price Index All Urban Consumers Data Table (1970-2015; specific to each metro area) http://data.bls.gov

CONTACT INFORMATION vitalsigns.info@mtc.ca.gov

METHODOLOGY NOTES (across all datasets for this indicator) Income data reported in a given year reflects the income earned in the prior year (decennial Census) or in the prior 12 months (American Community Survey); note that this inconsistency has a minor effect on historical comparisons (for more information, go to: http://www.census.gov/acs/www/Downloads/methodology/ASA_nelson.pdf). American Community Survey 1-year data is used for larger geographies – metropolitan areas and counties – while smaller geographies rely upon 5-year rolling average data due to their smaller sample sizes. Quintile income for 1970-2000 is imputed from Decennial Census data using methodology from the California Department of Finance (for more information, go to: http://www.dof.ca.gov/Forecasting/Demographics/Census_Data_Center_Network/documents/How_to_Recalculate_a_Median.pdf). Bay Area income is the population weighted average of county-level income.

Income has been inflated using the Consumer Price Index specific to each metro area; however, some metro areas lack metro-specific CPI data back to 1970 and therefore adjusted data is unavailable for some historical data points. Note that current MSA boundaries were used for historical comparison by identifying counties included in today’s metro areas.

Graph and download economic data for 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Brevard County, FL (MHICILBFL12009A052NCEN) from 1989 to 2023 about Brevard County, FL; Palm Bay; FL; households; median; income; and USA.

Graph and download economic data for 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Bay County, MI (MHICILBMI26017A052NCEN) from 1989 to 2023 about Bay County, MI; Bay City; MI; households; median; income; and USA.

The federal tax bill, passed in December 2017, allows investors to defer or eliminate capital gains on investments made in “Opportunity Zones”. These zones must be designated by the governor in each state from a set of eligible Census tracts. Governors must select no more than 25 percent of eligible tracts statewide.Federal criteria for determining eligible areas states that tracts must either have poverty rates above 20 percent or median family income below 80 percent of either the statewide or metropolitan area income. 3,516 Census tracts in California qualify under this criteria, spread across 54 counties. Of these, the governor must select tracts as Opportunity Zones in California.The state’s final recommendation is provided on the map. Within the San Francisco Bay Region, 530 tracts were eligible under the federal criteria, of which 107 were designated by the governor. Of the 107 designated tracts, 94 tracts were Metropolitan Transportation Commission Communities of Concern (now Equity Priority Communities).

Graph and download economic data for Estimate of Median Household Income for Hillsborough County, FL (MHIFL12057A052NCEN) from 1989 to 2023 about Hillsborough County, FL; Tampa; FL; households; median; income; and USA.

For this survey respondents were questioned concerning household composition, national affairs and national leaders, men's and women's roles, the Women's Liberation movement, political interest and trust, crime control, moral standards, and other current issues, as well as political participation, explanations for "different life chances" and differing longevity, poverty, and racial differences. Personal information about the respondent includes occupation, industry, education, religion, marital status, union and club membership, political and party identification, and income. An adjective checklist about national government was administered. In addition, all respondents were asked to complete questionnaires dealing with sexual behavior. The dataset also contains census tract information from the 1970 Census such as median family income, years of education, persons per household, percent black and Spanish, percent below poverty level, percent other races, and housing information.

Children who grow up in some places go on to earn much more than they would if they grew up elsewhere. Location matters enormously. If you're poor and live in the San Francisco Bay Region, it is better to be in Contra Costa County than in San Francisco County or Alameda County. Not only that, the younger you are when you move to Contra Costa, the better you will do on average. Children who move at earlier ages are less likely to become single parents, more likely to go to college, and more likely to earn more.Every year a poor child spends in Contra Costa County adds about $160 to his or her annual household income at age 26, compared with a childhood spent in the average American county. Over the course of a full childhood, which is up to age 20 for the purposes of this analysis, the difference adds up to about $3,200, or 12 percent, more in average income as a young adult.These findings, particularly those that show how much each additional year matters, are from a new study by Raj Chetty and Nathaniel Hendren that has huge consequences on how we think about poverty and mobility in the United States.

The Department of Housing (DOH) collects data on the number of households that have remained sheltered or stable and/or have received support with their basic needs through federal and state funded programs. HUD categorizes these programs as: Housing Development and Minor Home Repair Public Facilities, Micro-Enterprise and Economic Development, General Public Services, Fair Housing, Core Service Agencies and Shelters. The State categorizes these programs generally as serving persons experiencing or at risk of experiencing homelessness. Subgrantees that administer these programs use the online service platform, City Data Services, to report quarterly updates including the number and general demographic of clients served by each program. At the end of the year, the data is aggregated into an annual report that is submitted to HUD in the form of a Consolidated Annual Performance and Evaluation Report (CAPER) through their online portal, IDIS, and through other reporting tools for the State. These annual reports allow DOH to gain a full scope of clients served, identify specific program outcomes and highlights other work engaged in during a specific program year. Additionally, the data in this report is then disaggregated to show 2) The demographics (race/ethnicity) of those benefitting from the program, which can be compared to the overall County demographics. The granularity of the data makes the racial, spatial, income, and gender disparities that too often negatively impact households’ housing status apparent. Since these data show services provision at the individual level, publication of these measures will inform the community of the scale, cost, and trade-offs of addressing housing related challenges in the Bay area.

In addition to the distribution of need, these data show how DOH and its subgrantees have directed a variety of resources to support multiple individuals across San Mateo County in 2024. In recent years, DOH has seen a continued decrease in federal funding that is made available to local jurisdictions and governments. To stabilize this decline, DOH has leveraged state Permanent Local Housing Allocation (PLHA) funds to meet community needs and is being reported in this data. The data reflects that approximately 40% of the individuals that were served in 2024 will be at or below 30% of the Area Median Income (AMI). Further highlighting the need for services among low and extremely low-income individuals in the County. Additionally, the Hispanic population in County accounts for 25% of the total population, but the 2023 data shows that over 50% of individuals served identified as Hispanic. This data is representative of individuals who identify with one Race, as well as also identifing as Hispanic. Providing specific counts will enable San Mateo County community members to better understand the decision-making process and equity impacts of DOH, stimulating equity, accountability, and engagement. In addition to the distribution of need, these data show how DOH and its subgrantees have directed a variety of resources to support multiple individuals across San Mateo County in 2024. In recent years, DOH has seen a continued decrease in federal funding that is made available to local jurisdictions and governments. To stabilize this decline, DOH has leveraged state Permanent Local Housing Allocation (PLHA) funds to meet community needs and is being reported in this data. The data reflects that over half of the individuals that were served in 2024 will be at or below 30% of the Area Median Income (AMI). Further highlighting the need for services among low and extremely low-income individuals in the County. Additionally, the Hispanic population in County accounts for 25% of the total population, but the 2023 data shows that over 50% of individuals served identified as Hispanic. This data is representative of individuals who identify with one Race, as well as also identifing as Hispanic. Providing specific counts will enable San Mateo County community members to better understand the decision-making process and equity impacts of DOH, stimulating equity, accountability, and engagement.

VITAL SIGNS INDICATOR Income (EC4)

FULL MEASURE NAME Household income by place of residence

LAST UPDATED May 2019

DESCRIPTION Income reflects the median earnings of individuals and households from employment, as well as the income distribution by quintile. Income data highlight how employees are being compensated for their work on an inflation-adjusted basis.

DATA SOURCE U.S. Census Bureau: Decennial Census Count 4Pb (1970) Form STF3 (1980-1990) Form SF3a (2000) https://nhgis.org

U.S. Census Bureau: American Community Survey Form B19013 (2006-2017; place of residence) http://api.census.gov

Bureau of Labor Statistics: Consumer Price Index All Urban Consumers Data Table (1970-2017; specific to each metro area) http://data.bls.gov

CONTACT INFORMATION vitalsigns.info@bayareametro.gov

METHODOLOGY NOTES (across all datasets for this indicator) Income data reported in a given year reflects the income earned in the prior year (decennial Census) or in the prior 12 months (American Community Survey); note that this inconsistency has a minor effect on historical comparisons (for more information, go to: http://www.census.gov/acs/www/Downloads/methodology/ASA_nelson.pdf). American Community Survey 1-year data is used for larger geographies – metropolitan areas and counties – while smaller geographies rely upon 5-year rolling average data due to their smaller sample sizes. Quintile income for 1970-2000 is imputed from Decennial Census data using methodology from the California Department of Finance (for more information, go to: http://www.dof.ca.gov/Forecasting/Demographics/Census_Data_Center_Network/documents/How_to_Recalculate_a_Median.pdf). Bay Area income is the population weighted average of county-level income.

Income has been inflated using the Consumer Price Index specific to each metro area; however, some metro areas lack metro-specific CPI data back to 1970 and therefore adjusted data is unavailable for some historical data points. Note that current MSA boundaries were used for historical comparison by identifying counties included in today’s metro areas.