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.

The net income of S.F. Holding Co., Ltd. with headquarters in China amounted to **** billion yuan in 2023. The reported fiscal year ends on December 31.Compared to the earliest depicted value from 2020 this is a total increase by approximately *** billion yuan. The trend from 2020 to 2023 shows, however, that this increase did not happen continuously.

Net Interest Income for Commercial Banks Geographically Located in Federal Reserve District 12: San Francisco (DISCONTINUED) was 37773809.00000 Thous. of $ in July of 2020, according to the United States Federal Reserve. Historically, Net Interest Income for Commercial Banks Geographically Located in Federal Reserve District 12: San Francisco (DISCONTINUED) reached a record high of 59660690.00000 in October of 2008 and a record low of 3229269.00000 in January of 1984. Trading Economics provides the current actual value, an historical data chart and related indicators for Net Interest Income for Commercial Banks Geographically Located in Federal Reserve District 12: San Francisco (DISCONTINUED) - last updated from the United States Federal Reserve on July of 2025.

Graph and download economic data for Net Income for Commercial Banks with Assets under $5B in San Francisco-Oakland-Hayward, CA (MSA) (DISCONTINUED) (NISFC) from Q1 1989 to Q3 2020 about Under $5B, San Francisco, commercial, Net, CA, assets, banks, depository institutions, income, and USA.

Stifel Financial reported $52.99M in Net Income for its fiscal quarter ending in March of 2025. Data for Stifel Financial | SF - Net Income including historical, tables and charts were last updated by Trading Economics this last August in 2025.

Graph and download economic data for Net Interest Income for Commercial Banks with Assets under $5B in San Francisco-Oakland-Hayward, CA (MSA) (DISCONTINUED) (INTINCOMESFC) from Q1 1989 to Q3 2020 about Under $5B, San Francisco, commercial, Net, CA, assets, banks, interest, depository institutions, income, and USA.

Net-Income-Including-Non-Controlling-Interests Time Series for Zhejiang Sf Oilless Bearing Co Ltd. SF Oilless Bearing Group Co., Ltd. engages in research, development, production, and sales of sliding bearings in China. The company offers composite materials for sliding bearings and copper powder for sliding bearing solutions; bimetal products; high strength casting bronze embedded with solid lubricants bearings; two-layer and three-layer adhesive; sintered embedded; press sintering; and surface spray coating. Its products have applications in the fields of car and truck, engineering machinery, hydraulic system, die/mold industry, injection/die casting, agricultural machinery, industrial automation, clean source of energy, aerospace, steel metallurgy, oil drilling platform, and medical devices. The company was formerly known as Zhejiang Sf Oilless Bearing Co.,Ltd. and changed its name to SF Oilless Bearing Group Co., Ltd. in October 2023. The company was founded in 1988 and is based in Jiashan, China.

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.

Graph and download economic data for Net Interest Income for Commercial Banks Geographically Located in Federal Reserve District 12: San Francisco (DISCONTINUED) (D12NII) from Q1 1984 to Q3 2020 about FRB SF District, commercial, Net, banks, interest, depository institutions, income, and USA.

The operating income of the San Francisco 49ers, a franchise of the National Football League, fluctuated between 2001 and 2023. In the 2023 season, the operating income of the San Francisco 49ers amounted to 144 million U.S. dollars.

Graph and download economic data for Median Household Income in California (MEHOINUSCAA646N) from 1984 to 2023 about CA, households, median, income, and USA.

Within-between model (Model 2): SF-12 MCS and net equivalised household income quintile.

Stifel Financial reported $420.62M in Operating Profit for its fiscal quarter ending in June of 2025. Data for Stifel Financial | SF - Operating Profit including historical, tables and charts were last updated by Trading Economics this last August in 2025.

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A substantial body of evidence suggests that young people, including those at the crucial transition points between 16 and 24, now face severe mental health challenges. In this article, we analyse data from 10 waves of a major UK longitudinal household cohort study, Understanding Society, to examine the relationship between income and anxiety and depression among 16- to 24-year-olds. Using random effects logistic regression (Model 1) allowing for whether the individual was depressed in the previous period as well as sex, age, ethnicity, whether the individual was born in the UK, region, rurality, highest qualification, marital status, employment status and attrition, we find a significant and inversely monotonic adjusted association between average net equivalised household income quintiles and clinical threshold levels of depressive symptoms SF-12 Mental Component Summary (MCS score ≤45.6). This means that being in a higher income group is associated with a reduced likelihood of clinically significant depressive symptoms, allowing for observable confounding variables. Using a ‘within-between’ model (Model 2), we find that apart from among those with the very highest incomes, increases in average net equivalised household income over the course of childhood and adolescence are significantly associated with reduced symptoms of anxiety and depression as measured by a higher SF-12 MCS score. Compared with previous reviews, the data presented here provides an estimate of the magnitude of effect that helps facilitate microsimulation modelling of impact on anxiety and depression from changes in socioeconomic circumstances. This enables a more detailed and complete understanding of the types of socioeconomic intervention that might begin to address some of the causes of youth mental health problems.

Marginal Effects at the Means (MEM) by net equivalised household income quintiles.

VITAL SIGNS INDICATOR
Displacement Risk (EQ3)

FULL MEASURE NAME
Share of lower-income households living in tracts at risk of displacement

LAST UPDATED
January 2023

DESCRIPTION
Displacement risk refers to the share of lower-income households living in neighborhoods that have been losing lower-income residents over time, thus earning the designation "at risk". While "at risk" households may not necessarily be displaced in the short-term or long-term, neighborhoods identified as being "at risk" signify pressure as reflected by the decline in lower-income households (who are presumed to relocate to other more affordable communities). The dataset includes metropolitan area, regional, county and census tract tables.

DATA SOURCE
U.S. Census Bureau: Decennial Census - https://nhgis.org
Form STF3 (1990-2000)

U.S. Census Bureau: American Community Survey (5-year rolling average) - https://data.census.gov/
2009-2021
Form B19001, B19013

CONTACT INFORMATION
vitalsigns.info@bayareametro.gov

METHODOLOGY NOTES (across all datasets for this indicator)
Aligning with the approach used for Plan Bay Area 2040, displacement risk is calculated by comparing the analysis year with the most recent year prior to identify census tracts that are losing lower-income households. Tract data, as well as regional income data, are calculated using 5-year rolling averages for consistency – given that tract data is only available on a 5-year basis. Using household tables by income level, the number of households in each tract falling below the median are summed, which involves summing all brackets below the regional median and then summing a fractional share of the bracket that includes the regional median (assuming a uniform distribution within that bracket).

Once all tracts in a given county or metro area are synced to today’s boundaries, the analysis identifies census tracts of greater than 500 lower-income people (in the prior year) to filter out low-population areas. For those tracts, any net loss between the prior year and the analysis year results in that tract being flagged as being at risk of displacement, and all lower-income households in that tract are flagged. To calculate the share of households at risk, the number of lower-income households living in flagged tracts are summed and divided by the total number of lower-income households living in the larger geography (county or metro). Minor deviations on a year-to-year basis should be taken in context, given that data on the tract level often fluctuates and has a significant margin of error; changes on the county and regional level are more appropriate to consider on an annual basis instead.

Graph and download economic data for Total Loans and Leases, Net of Unearned Income for Commercial Banks Geographically Located in Federal Reserve District 12: San Francisco (DISCONTINUED) (D12TLLNUI) from Q1 1984 to Q3 2020 about FRB SF District, leases, commercial, Net, loans, banks, depository institutions, income, and USA.

Stifel Financial reported $63.36M in Pre-Tax Profit for its fiscal quarter ending in March of 2025. Data for Stifel Financial | SF - Pre Tax Profit including historical, tables and charts were last updated by Trading Economics this last August in 2025.