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.

This layer shows median household income by race and by age of householder. This is shown by tract, county, and state boundaries. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. Median income and income source is based on income in past 12 months of survey. This layer is symbolized to show median household income. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. Current Vintage: 2019-2023ACS Table(s): B19013B, B19013C, B19013D, B19013E, B19013F, B19013G, B19013H, B19013I, B19049, B19053Data downloaded from: Census Bureau's API for American Community Survey Date of API call: December 12, 2024National Figures: data.census.govThe United States Census Bureau's American Community Survey (ACS):About the SurveyGeography & ACSTechnical DocumentationNews & UpdatesThis ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. For more information about ACS layers, visit the FAQ. Please cite the Census and ACS when using this data.Data Note from the Census:Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables.Data Processing Notes:This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Click here to learn more about ACS data releases.Boundaries come from the US Census TIGER geodatabases, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER. Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2023 500k TIGER Cartographic Boundary Shapefiles. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters).The States layer contains 52 records - all US states, Washington D.C., and Puerto RicoCensus tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey.Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page.Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.The estimate is controlled. A statistical test for sampling variability is not appropriate.The data for this geographic area cannot be displayed because the number of sample cases is too small.

This analysis scores Census Block Groups in Washington based on their degree of equity and environmental justice need for the purpose of identifying and prioritizing investment locations for the Connecting Communities Pilot Program. Each Block Group receives a score based on several factors related to vulnerable populations and environmentally burdened communities, and these scores are added together to create the final score. See the accompanying methodology word document for a full list of factors. Original data sources are the U.S. Census 2016-2020 American Community Survey (ACS) and the Washington Environmental Health Disparities (EHD) Map.Individual scores are calculated for each measure, which then sum up to aggregate scores for vulnerable populations and overburdened communities as well as a combined final score. Block Group scores based on demographic measures from the ACS data are calculated relative to other Block Groups in similarly sized population centers or in tribal areas. If a Block Group’s value for a given demographic measure is at or above the 80th percentile within its population center size category, it is given 2 points for that factor. If its value is at or above the 60th percentile within its population center size category, it is given 1 point. All other Block Groups receive 0 points for that factor. Block groups that overlap with or touch multiple population centers that have different sizes are assigned the highest possible point value based on all overlapping population centers. For the health and environmental measures sourced from the EHD map, scores are applied based on the measure’s rank value. Block Groups with a rank of 9 or 10 are given 2 points, and Block Groups with a rank of 7 or 8 are given 1 point. This is applied statewide without any scaling within population center sizes, as is performed for the demographic metrics, to ensure that Block Groups with similar environmental or health burdens across the state are scored evenly. Here is a list of measures (included in attribute table), used to calculate the final score: 1. Population less than 18 years of age; 2. Population age 65 or older; 3. Housing cost-burdened households (spending over 30% of income on housing); 4. Black, Indigenous, People of color; 5. Households with 1 or more persons with a disability; 6. Ability to speak English – less than very well; 7. Household income below 200% of the federal poverty level; 8. Zero to one car households; 9. Unemployment; 10. Transportation expense (%) for moderate income families; 11. Limited access to healthy food; 12. Low birthweight (<2500 grams); 13. High rate of hospitalization, based on the maximum rank value from the following variables; (a) Death from cardiovascular disease, (b) Cancer deaths, (c) Lower life expectancy at birth, (d) Premature death; 14. Environmental exposures; 15. Environmental effects; 16. Diesel pollution burdenFinally, 1 additional point is given to Block Groups that fall within or touch a tribal area to give a slight priority to areas serving tribal populations. This score, along with the demographic measures from the ACS as well as the transportation expense, limited access to healthy food, low birthweight, and high rate of hospitalization measures from the EHD Map are summed together to create the total vulnerable population score. The three environmental measures from the EHD Map are summed together to create the total overburdened communities score. These two totals are summed to create the Block Group’s final score.

This special topic poll, conducted January 13-15, 1997, is part of a continuing series of monthly polls that solicit public opinion on the presidency and on a range of other political and social issues. This data collection was undertaken to assess public opinion prior to President Bill Clinton's second-term inauguration as president of the United States. Respondents were asked to give their opinions of President Clinton and his handling of the first term of his presidency, whether he would do a better or worse job in his second term in office, whether they approved of his choices for Cabinet and other top positions in his administration, and what the nature of his relationship with Congress should be in his second term. Views were sought on whether President Clinton had made progress toward reducing unemployment and improving education during his first term, and whether he would make substantial progress in these areas during his second term. Respondents rated the most important issue facing the country, whether they were better or worse off financially compared to four years ago, whether they approved of the way Congress was handling its job, whether they expected Congress to do a better job in the next two years, and whether they trusted the Clinton administration or the Republicans in Congress to handle the main problems the nation would face over the next few years. Other questions asked whether respondents approved of the way Hillary Clinton was handling her job as first lady and the amount of influence she held over her husband, and whether she should play a greater role in her husband's second administration. A series of questions asked about recent allegations involving President Clinton, including Whitewater, the Democratic National Campaign Committee's acceptance of foreign contributions, and former Arkansas state employee Paula Jones's sexual harassment charges, and whether they would interfere with his ability to serve as president. Additional topics addressed what actions the government should take to protect the long-term financial stability of Social Security and the Medicare health system and the overall level of ethics and honesty in politics and the federal government. Demographic variables include sex, age, race, education level, household income, political party affiliation, political philosophy, and voter participation history.

In March 2025, inflation amounted to 2.4 percent, while wages grew by 4.3 percent. The inflation rate has not exceeded the rate of wage growth since January 2023. Inflation in 2022 The high rates of inflation in 2022 meant that the real terms value of American wages took a hit. Many Americans report feelings of concern over the economy and a worsening of their financial situation. The inflation situation in the United States is one that was experienced globally in 2022, mainly due to COVID-19 related supply chain constraints and disruption due to the Russian invasion of Ukraine. The monthly inflation rate for the U.S. reached a 40-year high in June 2022 at 9.1 percent, and annual inflation for 2022 reached eight percent. Without appropriate wage increases, Americans will continue to see a decline in their purchasing power. Wages in the U.S. Despite the level of wage growth reaching 6.7 percent in the summer of 2022, it has not been enough to curb the impact of even higher inflation rates. The federally mandated minimum wage in the United States has not increased since 2009, meaning that individuals working minimum wage jobs have taken a real terms pay cut for the last twelve years. There are discrepancies between states - the minimum wage in California can be as high as 15.50 U.S. dollars per hour, while a business in Oklahoma may be as low as two U.S. dollars per hour. However, even the higher wage rates in states like California and Washington may be lacking - one analysis found that if minimum wage had kept up with productivity, the minimum hourly wage in the U.S. should have been 22.88 dollars per hour in 2021. Additionally, the impact of decreased purchasing power due to inflation will impact different parts of society in different ways with stark contrast in average wages due to both gender and race.