In 2023, just over 50 percent of Americans had an annual household income that was less than 75,000 U.S. dollars. The median household income was 80,610 U.S. dollars in 2023. Income and wealth in the United States After the economic recession in 2009, income inequality in the U.S. is more prominent across many metropolitan areas. The Northeast region is regarded as one of the wealthiest in the country. Maryland, New Jersey, and Massachusetts were among the states with the highest median household income in 2020. In terms of income by race and ethnicity, the average income of Asian households was 94,903 U.S. dollars in 2020, while the median income for Black households was around half of that figure. What is the U.S. poverty threshold? The U.S. Census Bureau annually updates its list of poverty levels. Preliminary estimates show that the average poverty threshold for a family of four people was 26,500 U.S. dollars in 2021, which is around 100 U.S. dollars less than the previous year. There were an estimated 37.9 million people in poverty across the United States in 2021, which was around 11.6 percent of the population. Approximately 19.5 percent of those in poverty were Black, while 8.2 percent were white.

Graph and download economic data for Real Median Personal Income in the United States (MEPAINUSA672N) from 1974 to 2024 about personal income, personal, median, income, real, and USA.

In 2023, the real median household income in the state of Alabama was 60,660 U.S. dollars. The state with the highest median household income was Massachusetts, which was 106,500 U.S. dollars in 2023. The average median household income in the United States was at 80,610 U.S. dollars.

Comprehensive demographic dataset for Mode, IL, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

In 2023, the real median household income for householders aged 15 to 24 was at 54,930 U.S. dollars. The highest median household income was found amongst those aged between 45 and 54. Household median income for the United States since 1990 can be accessed here.

Mortality rates in the United States vary based on race, individual economic status and neighborhood. Correlations among these variables in most urban areas have limited what conclusions can be drawn from existing research. Our study employs a unique factorial design of race, sex, age and individual poverty status, measuring time to death as an objective measure of health, and including both neighborhood economic status and income inequality for a sample of middle-aged urban-dwelling adults (N = 3675). At enrollment, African American and White participants lived in 46 unique census tracts in Baltimore, Maryland, which varied in neighborhood economic status and degree of income inequality. A Cox regression model for 9-year mortality identified a three-way interaction among sex, race and individual poverty status (p = 0.03), with African American men living below poverty having the highest mortality. Neighborhood economic status, whether measured by a composite index or simply median household income, was negatively associated with overall mortality (p

Graph and download economic data for Total Expense for Mixed Mode Transit Systems, Establishments Subject to Federal Income Tax, Employer Firms (DISCONTINUED) (EXPEF485111TAXABL) from 2010 to 2011 about employer firms, accounting, establishments, transportation, tax, expenditures, services, and USA.

This dataset shows the means of transportation to work reported by males. The information is mapped according to place of residence. The data is part of the Census Transportation Planning Package (CTPP), and is the result of a cooperative effort between various groups including the State Departments of Transportation, U.S. Census Bureau, and the Federal Highway Administration. The data is a special tabulation of responses from households completing the decennial census long form. The data was collected in 2000 and is shown at tract level. This data can be found at http://www.transtats.bts.gov/Fields.asp?Table_ID=1338.

Linear mixed models (random intercept, fixed slope) evaluating the association between population density and basic reproductive number (R0) among United States counties.

Sensitivity analysis of linear mixed models (random intercept, fixed slope) using (a) deaths only, (b) removing counties within 15 miles of high-density counties, and (c) removing high influence counties.

This dataset shows the type of transportation people use to go to work. The information is mapped according to place of residence. The data is part of the Census Transportation Planning Package (CTPP), and is the result of a cooperative effort between various groups including the State Departments of Transportation, U.S. Census Bureau, and the Federal Highway Administration. The data is a special tabulation of responses from households completing the decennial census long form. The data was collected in 2000 and is shown at tract level. This data can be found at http://www.transtats.bts.gov/Fields.asp?Table_ID=1338.

This dataset shows the type of transportation people use to go to work. The information is mapped according to place of residence. The data is part of the Census Transportation Planning Package (CTPP), and is the result of a cooperative effort between various groups including the State Departments of Transportation, U.S. Census Bureau, and the Federal Highway Administration. The data is a special tabulation of responses from households completing the decennial census long form. The data was collected in 2000 and is shown at tract level.

This dataset shows the means of transportation to work reported by females. The information is mapped according to place of residence. The data is part of the Census Transportation Planning Package (CTPP), and is the result of a cooperative effort between various groups including the State Departments of Transportation, U.S. Census Bureau, and the Federal Highway Administration. The data is a special tabulation of responses from households completing the decennial census long form. The data was collected in 2000 and is shown at tract level.

Net-Interest-Income Time Series for TTM Technologies Inc. TTM Technologies, Inc. manufactures and sells mission systems, radio frequency (RF) components and RF microwave/microelectronic assemblies, and printed circuit boards (PCB) in the United States, Taiwan, and internationally. It operates in two segments, PCB and RF&S Components. The company offers a range of engineered systems, RF and microwave assemblies, HDI PCBs, flexible PCBs, rigid-flex PCBs, custom assemblies and system integration, IC substrates, passive RF components, advanced ceramic RF components, hi-reliability multi-chip modules, beamforming and switching networks, PCB products, RF components, and backplane/custom assembly solutions, including conventional PCBs. It also provides value-added services, such as design for manufacturability, PCB layout design, simulation and testing services, and quick turnaround production, as well as specialized assembly and RF testing. In addition, the company offers maritime surveillance and weather avoidance radar systems for fixed- and rotary-wing aircraft, unmanned aerial vehicles, and shipboard platforms; AN/APS-153 multi-mode radar; communications suite within the MH-60R/S multi-mission helicopters; and develops multi-mode maritime and overland surveillance AESA radar under MOSAIC brand. Further, it provides identification friend, monopulse secondary surveillance radars, and air traffic control systems; wired and wireless communication systems; custom electronic assemblies; quick turnaround services comprising prototype production and ramp-to-volume production; and thermal management. The company serves original equipment manufacturers and electronic manufacturing services providers, original design manufacturers, distributors, and government agencies; and aerospace and defense, data center computing, automotive, medical, industrial, and instrumentation, and networking markets. TTM Technologies, Inc. was incorporated in 1978 and is headquartered in Santa Ana, California.

This dataset explores Employed labour force by mode of transportation to work by province and territory fr 2001. Source: Statistics Canada, Census of Population. Last modified: 2004-09-01.