This statistic shows the median household income in the United States from 1990 to 2023 in 2023 U.S. dollars. The median household income was 80,610 U.S. dollars in 2023, an increase from the previous year. Household incomeThe median household income depicts the income of households, including the income of the householder and all other individuals aged 15 years or over living in the household. Income includes wages and salaries, unemployment insurance, disability payments, child support payments received, regular rental receipts, as well as any personal business, investment, or other kinds of income received routinely. The median household income in the United States varies from state to state. In 2020, the median household income was 86,725 U.S. dollars in Massachusetts, while the median household income in Mississippi was approximately 44,966 U.S. dollars at that time. Household income is also used to determine the poverty line in the United States. In 2021, about 11.6 percent of the U.S. population was living in poverty. The child poverty rate, which represents people under the age of 18 living in poverty, has been growing steadily over the first decade since the turn of the century, from 16.2 percent of the children living below the poverty line in year 2000 to 22 percent in 2010. In 2021, it had lowered to 15.3 percent. The state with the widest gap between the rich and the poor was New York, with a Gini coefficient score of 0.51 in 2019. The Gini coefficient is calculated by looking at average income rates. A score of zero would reflect perfect income equality and a score of one indicates a society where one person would have all the money and all other people have nothing.
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Key information about United States Monthly Earnings
As of 2023, the median wage for employees in healthcare support occupations was about 36,140 U.S. dollars. The occupational group with the highest annual median wage was management occupations. Mean wages for the same occupational groups can be accessed here.
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.
This table contains data on the living wage and the percent of families with incomes below the living wage for California, its counties, regions and cities/towns. Living wage is the wage needed to cover basic family expenses (basic needs budget) plus all relevant taxes; it does not include publicly provided income or housing assistance. The percent of families below the living wage was calculated using data from the Living Wage Calculator and the U.S. Census Bureau, American Community Survey. The table is part of a series of indicators in the Healthy Communities Data and Indicators Project of the Office of Health Equity. The living wage is the wage or annual income that covers the cost of the bare necessities of life for a worker and his/her family. These necessities include housing, transportation, food, childcare, health care, and payment of taxes. Low income populations and non-white race/ethnic have disproportionately lower wages, poorer housing, and higher levels of food insecurity. More information about the data table and a data dictionary can be found in the About/Attachments section.
Located in the north of the country, Lombardy had the highest mean gross salary in 2023, while workers in Basilicata earned the lowest average wages nationwide. The figure for Lombardy amounted to 33,055 euros, around 870 euros more than in Lazio, where the capital Rome is situated, as reported by Job Pricing. Always in the north is located Trentino-South Tyrol, the region with the second-highest average gross salary, 32,200 euros per year. The last positions of the raking were occupied by the southern regions, with an average wage of 28,300 euros. High wages and large pay gap According to the same source, employees working in banking and financial services had some of the largest salaries in Italy. However, men earned roughly 22 percent more than women (47,900 euros versus 39,200 euros). Similarly, the annual gross salary in the insurance industry was 29 percent higher in favor of men. Low-wage workers The south of Italy was also the place registering the highest percentage of low paid employees. These are employees with an hourly salary of less than two thirds of the median salary over the total number of employees. More specifically, in the south and on the islands, the share of low-wage employees was 15.6 and 14.6 percent, respectively. In the northern regions, the share amounted to only 7.8 percent.
VITAL SIGNS INDICATOR Jobs by Wage Level (EQ1)
FULL MEASURE NAME Distribution of jobs by low-, middle-, and high-wage occupations
LAST UPDATED January 2019
DESCRIPTION Jobs by wage level refers to the distribution of jobs by low-, middle- and high-wage occupations. In the San Francisco Bay Area, low-wage occupations have a median hourly wage of less than 80% of the regional median wage; median wages for middle-wage occupations range from 80% to 120% of the regional median wage, and high-wage occupations have a median hourly wage above 120% of the regional median wage.
DATA SOURCE California Employment Development Department OES (2001-2017) http://www.labormarketinfo.edd.ca.gov/data/oes-employment-and-wages.html
American Community Survey (2001-2017) http://api.census.gov
CONTACT INFORMATION vitalsigns.info@bayareametro.gov
METHODOLOGY NOTES (across all datasets for this indicator) Jobs are determined to be low-, middle-, or high-wage based on the median hourly wage of their occupational classification in the most recent year. Low-wage jobs are those that pay below 80% of the regional median wage. Middle-wage jobs are those that pay between 80% and 120% of the regional median wage. High-wage jobs are those that pay above 120% of the regional median wage. Regional median hourly wages are estimated from the American Community Survey and are published on the Vital Signs Income indicator page. For the national context analysis, occupation wage classifications are unique to each metro area. A low-wage job in New York, for instance, may be a middle-wage job in Miami. For the Bay Area in 2017, the median hourly wage for low-wage occupations was less than $20.86 per hour. For middle-wage jobs, the median ranged from $20.86 to $31.30 per hour; and for high-wage jobs, the median wage was above $31.30 per hour.
Occupational employment and wage information comes from the Occupational Employment Statistics (OES) program. Regional and subregional data is published by the California Employment Development Department. Metro data is published by the Bureau of Labor Statistics. The OES program collects data on wage and salary workers in nonfarm establishments to produce employment and wage estimates for some 800 occupations. Data from non-incorporated self-employed persons are not collected, and are not included in these estimates. Wage estimates represent a three-year rolling average.
Due to changes in reporting during the analysis period, subregion data from the EDD OES have been aggregated to produce geographies that can be compared over time. West Bay is San Mateo, San Francisco, and Marin counties. North Bay is Sonoma, Solano and Napa counties. East Bay is Alameda and Contra Costa counties. South Bay is Santa Clara County from 2001-2004 and Santa Clara and San Benito counties from 2005-2017.
Due to changes in occupation classifications during the analysis period, all occupations have been reassigned to 2010 SOC codes. For pre-2009 reporting years, all employment in occupations that were split into two or more 2010 SOC occupations are assigned to the first 2010 SOC occupation listed in the crosswalk table provided by the Census Bureau. This method assumes these occupations always fall in the same wage category, and sensitivity analysis of this reassignment method shows this is true in most cases.
In order to use OES data for time series analysis, several steps were taken to handle missing wage or employment data. For some occupations, such as airline pilots and flight attendants, no wage information was provided and these were removed from the analysis. Other occupations did not record a median hourly wage (mostly due to irregular work hours) but did record an annual average wage. Nearly all these occupations were in education (i.e. teachers). In this case, a 2080 hour-work year was assumed and [annual average wage/2080] was used as a proxy for median income. Most of these occupations were classified as high-wage, thus dispelling concern of underestimating a median wage for a teaching occupation that requires less than 2080 hours of work a year (equivalent to 12 months fulltime). Finally, the OES has missing employment data for occupations across the time series. To make the employment data comparable between years, gaps in employment data for occupations are ‘filled-in’ using linear interpolation if there are at least two years of employment data found in OES. Occupations with less than two years of employment data were dropped from the analysis. Over 80% of interpolated cells represent missing employment data for just one year in the time series. While this interpolating technique may impact year-over-year comparisons, the long-term trends represented in the analysis generally are accurate.
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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.
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Norway Average Household Income: IT: IW: Wage and Salaries data was reported at 490,700.000 NOK in 2016. This records an increase from the previous number of 486,300.000 NOK for 2015. Norway Average Household Income: IT: IW: Wage and Salaries data is updated yearly, averaging 410,700.000 NOK from Dec 2005 (Median) to 2016, with 12 observations. The data reached an all-time high of 490,700.000 NOK in 2016 and a record low of 322,600.000 NOK in 2005. Norway Average Household Income: IT: IW: Wage and Salaries data remains active status in CEIC and is reported by Statistics Norway. The data is categorized under Global Database’s Norway – Table NO.H014: Average Household Income.
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Graph and download economic data for Income Before Taxes: Wages and Salaries by Quintiles of Income Before Taxes: Lowest 20 Percent (1st to 20th Percentile) (CXU900000LB0102M) from 1984 to 2023 about percentile, salaries, tax, wages, income, and USA.
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Wages in the United States increased 4.46 percent in January of 2025 over the same month in the previous year. This dataset provides the latest reported value for - United States Wages and Salaries Growth - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.
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Brazil Average Real Monthly Income: Actual Earnings: South: Rio Grande do Sul: 50 to 59 Years data was reported at 2,623.000 BRL in 2017. This records a decrease from the previous number of 2,804.000 BRL for 2016. Brazil Average Real Monthly Income: Actual Earnings: South: Rio Grande do Sul: 50 to 59 Years data is updated yearly, averaging 2,713.500 BRL from Dec 2016 (Median) to 2017, with 2 observations. The data reached an all-time high of 2,804.000 BRL in 2016 and a record low of 2,623.000 BRL in 2017. Brazil Average Real Monthly Income: Actual Earnings: South: Rio Grande do Sul: 50 to 59 Years data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Brazil Premium Database’s Domestic Trade and Household Survey – Table BR.HF047: Average Real Monthly Household Income: Actual Earning: by Age: South.
U.S. citizens with a professional degree had the highest median household income in 2023, at 172,100 U.S. dollars. In comparison, those with less than a 9th grade education made significantly less money, at 35,690 U.S. dollars. Household income The median household income in the United States has fluctuated since 1990, but rose to around 70,000 U.S. dollars in 2021. Maryland had the highest median household income in the United States in 2021. Maryland’s high levels of wealth is due to several reasons, and includes the state's proximity to the nation's capital. Household income and ethnicity The median income of white non-Hispanic households in the United States had been on the rise since 1990, but declining since 2019. While income has also been on the rise, the median income of Hispanic households was much lower than those of white, non-Hispanic private households. However, the median income of Black households is even lower than Hispanic households. Income inequality is a problem without an easy solution in the United States, especially since ethnicity is a contributing factor. Systemic racism contributes to the non-White population suffering from income inequality, which causes the opportunity for growth to stagnate.
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Wages in China increased to 120698 CNY/Year in 2023 from 114029 CNY/Year in 2022. This dataset provides - China Average Yearly Wages - actual values, historical data, forecast, chart, statistics, economic calendar and news.
In 2023, an employee working for a not privately held company or organization in urban areas of China earned around 120,698 yuan annually on average. That year, the year-on-year growth rate of the average salary ranged at 5.8 percent nominally and 5.5 percent real.
Regional differences in salary levels
Salary levels in urban China have seen a significant rise between 2013 and 2023. During that period, average annual salaries of employees in non-private urban units have grown from around 51,500 to 120,700 yuan per year. Yet as of 2022, large income disparities still existed between different regions in China. While employees in Shanghai enjoyed the highest annual salaries on average, Henan province and Jilin province in central and northeastern China displayed the lowest average annual salaries. Regions with lower income levels are mainly located in central China or in the former centers of steel and heavy industry in Northeast China, whereas the coastal regions and municipalities in general still provide comparatively higher salaries.
Occupational salary differences
Moreover, a considerable salary discrepancy exists between different occupational groups in China. As of 2023, people working in IT services were atop the list earning about 231,800 yuan per year on average, whereas people in the financial service sector reached approximately 197,700 yuan. The hotels and catering sector ranked at the lower end with an average annual salary of around 58,100 yuan.
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Wages in Brazil increased to 3343 BRL/Month in January from 3326 BRL/Month in December of 2024. This dataset provides - Brazil Average Wages - actual values, historical data, forecast, chart, statistics, economic calendar and news.
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Average Household Income: Balikpapan Municipality: Wage/Salary data was reported at 7,964,745.000 IDR in 2018. Average Household Income: Balikpapan Municipality: Wage/Salary data is updated yearly, averaging 7,964,745.000 IDR from Dec 2018 (Median) to 2018, with 1 observations. The data reached an all-time high of 7,964,745.000 IDR in 2018 and a record low of 7,964,745.000 IDR in 2018. Average Household Income: Balikpapan Municipality: Wage/Salary data remains active status in CEIC and is reported by Statistics Indonesia. The data is categorized under Indonesia Premium Database’s Domestic Trade and Household Survey – Table ID.HB003: Cost of Living Survey (SBH-2018): Average Monthly Household Income: by Cities.
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Wages in Russia increased to 128665 RUB/Month in December from 86399 RUB/Month in November of 2024. This dataset provides the latest reported value for - Russia Average Monthly Wages - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.
Median household income is the middle value of the incomes earned in the prior year by households in an area. Income and earnings are inflation-adjusted for the last year of the 5-year period. The median value is used as opposed to the average so that both extremely high and extremely low prices do not distort the total amount of income earned by households in an area. Source: American Community SurveyYears Available: 2006-2010, 2007-2011, 2008-2012, 2009-2013, 2010-2014, 2011-2015, 2012-2016, 2013-2017, 2014-2018, 2015-2019, 2016-2020, 2017-2021, 2018-2022
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Brazil Average Real Monthly Income: Actual Earnings: Southeast: São Paulo: 60 Years or More data was reported at 3,462.000 BRL in 2017. This records a decrease from the previous number of 3,513.000 BRL for 2016. Brazil Average Real Monthly Income: Actual Earnings: Southeast: São Paulo: 60 Years or More data is updated yearly, averaging 3,487.500 BRL from Dec 2016 (Median) to 2017, with 2 observations. The data reached an all-time high of 3,513.000 BRL in 2016 and a record low of 3,462.000 BRL in 2017. Brazil Average Real Monthly Income: Actual Earnings: Southeast: São Paulo: 60 Years or More data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Brazil Premium Database’s Domestic Trade and Household Survey – Table BR.HF046: Average Real Monthly Household Income: Actual Earning: by Age: Southeast.
This statistic shows the median household income in the United States from 1990 to 2023 in 2023 U.S. dollars. The median household income was 80,610 U.S. dollars in 2023, an increase from the previous year. Household incomeThe median household income depicts the income of households, including the income of the householder and all other individuals aged 15 years or over living in the household. Income includes wages and salaries, unemployment insurance, disability payments, child support payments received, regular rental receipts, as well as any personal business, investment, or other kinds of income received routinely. The median household income in the United States varies from state to state. In 2020, the median household income was 86,725 U.S. dollars in Massachusetts, while the median household income in Mississippi was approximately 44,966 U.S. dollars at that time. Household income is also used to determine the poverty line in the United States. In 2021, about 11.6 percent of the U.S. population was living in poverty. The child poverty rate, which represents people under the age of 18 living in poverty, has been growing steadily over the first decade since the turn of the century, from 16.2 percent of the children living below the poverty line in year 2000 to 22 percent in 2010. In 2021, it had lowered to 15.3 percent. The state with the widest gap between the rich and the poor was New York, with a Gini coefficient score of 0.51 in 2019. The Gini coefficient is calculated by looking at average income rates. A score of zero would reflect perfect income equality and a score of one indicates a society where one person would have all the money and all other people have nothing.