San Francisco is the richest of America’s 25 largest metropolitan area by median household income, according to new data from the U.S. Census, and has the fastest-growing incomes of anywhere in the nation.
The region’s median annual income leapt $8,000 to $97,000 in 2016, up from its prior median annual income 2015 of $89,000. But although San Francisco is the nation’s wealthiest area by those metrics, its relative value drops to $79,000 when adjusted by cost of living when compared to other cities, according to the Bureau of Economic Analysis.
San Francisco, Washington and New York are the nation’s most expensive metro areas to live in, the BEA data shows — with New York’s median household income in 2016 clocking in at $25,000 less than what you’ll find in the San Francisco area.
New American Community Survey Statistics for Income, Poverty and Health Insurance Available for States and Local Areas
The U.S. Census Bureau today released its most detailed look at America’s people, places and economy with new statistics on income, poverty, health insurance and more than 40 other topics from the American Community Survey.
Many states saw an increase in income and a decrease in poverty rates between 2015 and 2016. During that same period, the percentage of people covered by health insurance increased in most of the largest 25 metropolitan areas. The findings are from the Census Bureau’s 2016 American Community Survey, the nation’s most comprehensive information source on American households. Today’s release provides statistics on more than 40 social, economic and housing topics for U.S. communities with populations of 65,000 or more.
“The American Community Survey allows us to track incremental changes across our nation on how the nation’s people live and work, year-to-year,” Census Bureau Social, Economic, and Housing Statistics Division Chief David Waddington said. “It’s our country’s only source of small area estimates for social and demographic characteristics. These estimates help people, businesses and governments throughout the country better understand the needs of their populations, the markets in which they operate and the challenges and opportunities they face.”
Below are some of the local-level income, poverty and health insurance statistics from the American Community Survey that complement the national-level statistics released earlier this week from the Census Bureau’s Current Population Survey. The Current Population Survey is the leading source for national-level data, and the American Community Survey is the leading source for community and local-level data. For more information on the topics includ ed in the American Community Survey, ranging from educational attainment to computer use to commuting, please visit census.gov. To access the full set of statistics released today, please visit American FactFinder.
- Between 2015 and 2016, 30 states showed an increase in real median household income. Pennsylvania (1.2 percent) had one of the smallest increases and Idaho (6.3 percent) had one of the largest increases. (“Real” refers to income after adjusting for inflation.)
- Alaska, Connecticut, the District of Columbia, Hawaii, Maryland, Massachusetts and New Jersey had among the highest median household incomes for 2016.
- Arkansas, Louisiana, Mississippi and West Virginia had the lowest median household incomes for 2016.
- Median household income was lower than the U.S. median in 28 states and higher than the U.S. median in 19 states and the District of Columbia. Visit the news graphic to see where the rest of the states fall.
- Median household income increased in 21 of the 25 most populous metropolitan areas between 2015 and 2016. Median household income did not decline in any of the 25 most populous metropolitan areas.
- For all metropolitan statistical areas, the median household income in 2016 was $60,542. This was a 2.7 percent increase from the 2015 median of $58,938.
- Among the 25 most populous metropolitan areas, the San Francisco metropolitan area ($96,667) and the Washington, DC, metropolitan area ($95,843) had the highest median incomes, while the Tampa ($51,115), Miami ($51,362) and Orlando ($52,385) metropolitan areas had the lowest. Differences in the median incomes of the San Francisco metropolitan area and the Washington, DC, metropolitan area were not statistically significant. The median household income for the Miami metropolitan area was not statistically different from the median household incomes for the Tampa or Orlando metropolitan areas.
- The Gini index is a standard economic measure of income inequality. A score of 0.0 is perfect equality in income distribution. A score of 1.0 indicates total inequality where one household has all of the income.
- Five states, (California, Connecticut, Florida, Louisiana and New York), the District of Columbia and Puerto Rico had Gini indices higher than the U.S. index number (0.482). Nine were not statistically different from the U.S. index number; the remaining 36 were lower.
- Most states experienced no statistical change in income inequality. Income inequality increased in three states (Louisiana, West Virginia and Wisconsin) and decreased in two (Alaska and Massachusetts).
- Between 2015 and 2016, poverty rates declined in 24 states. The poverty rate increased in Vermont from 10.2 percent to 11.9 percent, the only state to show an increase.
- States with poverty rates of 18.0 percent or higher includ ed: the District of Columbia, Kentucky, Louisiana, Mississippi and New Mexico. States that had poverty rates below 11.0 percent includ ed: Alaska, Connecticut, Hawaii, Maryland, Massachusetts, Minnesota, New Hampshire, New Jersey, North Dakota and Utah. Visit the news graphic to see where the rest of the states fall.
- From 2015 to 2016, the poverty rate decreased in 17 of the 25 most populous metropolitan areas. Poverty did not increase in any of the 25 most populous metropolitan areas.
- In 2016, the health insurance coverage rate was 91.6 percent for the population living inside metropolitan areas and 90.5 percent for the population living outside metropolitan areas.
- Between 2015 and 2016, the health insurance coverage rate increased by 0.8 percentage points for the population living inside metropolitan areas and by 0.7 percentage points for the population living outside metropolitan areas, which were not statistically different. In 2016, the Boston metropolitan area had the highest health insurance coverage rate (97.2 percent) among the most populous 25 metropolitan areas, and the Houston metropolitan area had the lowest rate (82.8 percent).
- Between 2015 and 2016, the percentage of people covered by health insurance increased in 19 of the 25 most populous metropolitan areas. The change in the rate of coverage ranged from 0.5 percentage points to 1.7 percentage points. The remaining 6 most populous metro areas showed no significant change.
- Between 2013 and 2016, Miami, Los Angeles and Riverside metropolitan areas experienced the largest increases in the rate of health insurance coverage among the most populous metropolitan areas. Their rates of health insurance coverage increased by 10.0 percentage points or more.
- National and state-level health insurance data from the Current Population Survey and American Community Survey were released earlier.
Additional Topics and Findings Released Today From the American Community Survey
The percentage of the nation’s population age 5 and older speaking a language other than English at home was 21.6 percent in 2016.
New language data shows Spanish was by far the largest non-English language in 2016, spoken at home by 40.5 million people, or 13.3 percent of the population age 5 and older, followed by Chinese with nearly 3.4 million speakers at home and Tagalog with 1.7 million speakers at home.
Languages are grouped in the American FactFinder tool in the revised Table B16001 that tabulates languages based on the top 42 language categories. New language data is now available for Haitian, Punjabi, Bengali, Telugu and Tamil. They previously fell under the “French Creole,” “Other Indic languages” and “Other Asian languages” categories.
New Data Exploration Platform
The U.S. Census Bureau is currently working to streamline online data dissemination to be more customer-driven and user friendly by creating one centralized and standardized platform to underlie the search on census.gov. Beginning September 14, some 2016 American Community Survey statistics, including detailed tables, data profiles, subject tables, and comparison profiles, will be available on the preview site at data.census.gov, in parallel with the data released on American Factfinder. We encourage you to take a look at data.census.gov and provide your thoughts on our work in progress at email@example.com.
New Data Visualization Tools
The U.S. Census Bureau has a new way for people to explore ACS data through two new data visualization tools.
The ACS Data Wheel allows users to explore ACS data for all 50 states.
The Data Wheel Dashboard includ es a bar graph and map of the U.S. highlighting ACS characteristics for all 50 states.
Additional Annual Releases
2016 American Community Survey Supplemental Tables
On Oct. 19, the Census Bureau will release American Community Survey supplemental tables. These tables contain high level statistics for communities with populations of 20,000 or more, compared to the 65,000 population minimum for the standard American Community Survey one-year statistics.
2012-2016 American Community Survey Statistics
On Dec. 7, the Census Bureau will release American Community Survey five-year statistics (2012-2016), which are available for all geographic areas regardless of population size, down to the block-group level. A media embargo begins Dec. 5. A prerelease technical webinar will take place prior to the release.
About the American Community Survey
The American Community Survey provides a wide range of important statistics about all communities in the United States. The American Community Survey gives communities the current information they need to plan investments and services. Retailers, homebuilders, fire departments, and town and city planners are among the many private- and public-sector decision-makers who count on these annual results. Visit the Stats in Action page to see some examples.
These statistics would not be possible without the participation of the randomly selected households throughout the country in the survey.