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.

In 2023, the mean income of women with a doctorate degree in the United States stood at 139,100 U.S. dollars. For men with the same degree, mean earnings stood at 175,500 U.S. dollars. On average in 2023, American men earned 91,590 U.S. dollars, while American women earned 65,987 U.S. dollars.

This graph shows the average full-time weekly wage for those aged 25 and over, as distinguished by educational attainment level in the United States from 2005 to 2009. In 2009, those with a bachelor's degree or higher earned an average weekly wage of 1,137 U.S. dollars.

In 2023, workers holding a bachelor's degree or higher in the United States earned an average of 1,609 U.S. dollars per week, the most out of any educational attainment group. In total, full-time wage and salary workers earned 1,170 U.S. dollars per week.

The 2020-2021 School Neighborhood Poverty Estimates are based on school locations from the 2020-2021 Common Core of Data (CCD) school file and income data from families with children ages 5 to 17 in the U.S. Census Bureau’s 2017-2021 American Community Survey (ACS) 5-year collection. The ACS is a continuous household survey that collects social, demographic, economic, and housing information from the population in the United States each month. The Census Bureau calculates the income-to-poverty ratio (IPR) based on money income reported for families relative to the poverty thresholds, which are determined based on the family size and structure. Noncash benefits (such as food stamps and housing subsidies) are excluded, as are capital gains and losses. The IPR is the percentage of family income that is above or below the federal poverty level. The IPR indicator ranges from 0 to a top-coded value of 999. A family with income at the poverty threshold has an IPR value of 100. The estimates in this file reflect the IPR for the neighborhoods around schools which may be different from the neighborhood conditions of students enrolled in schools.All information contained in this file is in the public domain. Data users are advised to review NCES program documentation and feature class metadata to understand the limitations and appropriate use of these data.

In 2023, the average income of women with a university degree in Brazil was 4,918 Brazilian reals per month. For men with the same degree, the average income was 7,477 reals. At all levels of education, Brazilian men's earnings were higher than those of their female counterparts.

The 2018-2019 School Neighborhood Poverty Estimates are based on school locations from the 2018-2019 Common Core of Data (CCD) school file and income data from families with children ages 5 to 17 in the U.S. Census Bureau’s 2015-2019 American Community Survey (ACS) 5-year collection. The ACS is a continuous household survey that collects social, demographic, economic, and housing information from the population in the United States each month. The Census Bureau calculates the income-to-poverty ratio (IPR) based on money income reported for families relative to the poverty thresholds, which are determined based on the family size and structure. Noncash benefits (such as food stamps and housing subsidies) are excluded, as are capital gains and losses. The IPR is the percentage of family income that is above or below the federal poverty level. The IPR indicator ranges from 0 to a top-coded value of 999. A family with income at the poverty threshold has an IPR value of 100. The estimates in this file reflect the IPR for the neighborhoods around schools which may be different from the neighborhood conditions of students enrolled in schools.All information contained in this file is in the public domain. Data users are advised to review NCES program documentation and feature class metadata to understand the limitations and appropriate use of these data.

In 2023 the mean earnings of Bachelor's degree holders in the United States amounted to 86,970 U.S. dollars. People with higher education degrees tended to earn more than those without. For example, high school graduates, including those with a GED, had mean earnings of 46,720 U.S. dollars.

The 2015-2016 School Neighborhood Poverty Estimates are based on school locations from the 2015-2016 Common Core of Data (CCD) school file and income data from families with children ages 5 to 17 in the U.S. Census Bureau’s 2012-2016 American Community Survey (ACS) 5-year collection. The ACS is a continuous household survey that collects social, demographic, economic, and housing information from the population in the United States each month. The Census Bureau calculates the income-to-poverty ratio (IPR) based on money income reported for families relative to the poverty thresholds, which are determined based on the family size and structure. Noncash benefits (such as food stamps and housing subsidies) are excluded, as are capital gains and losses. The IPR is the percentage of family income that is above or below the federal poverty level. The IPR indicator ranges from 0 to a top-coded value of 999. A family with income at the poverty threshold has an IPR value of 100. The estimates in this file reflect the IPR for the neighborhoods around schools which may be different from the neighborhood conditions of students enrolled in schools. All information contained in this file is in the public domain. Data users are advised to review NCES program documentation and feature class metadata to understand the limitations and appropriate use of these data.

In France, in 2020 people who did not possess any kind of diploma had an annual wage income after social contributions of 14,800 euros. In comparison, the same year, whose who graduated with the baccalauréat, the high school final exam, received around 20,360 euros. French people who studied for a minimum of three years for a higher education degree, earned the most with 37,080 euros.

The 2016-2017 School Neighborhood Poverty Estimates are based on school locations from the 2016-2017 Common Core of Data (CCD) school file and income data from families with children ages 5 to 17 in the U.S. Census Bureau’s 2013-2017 American Community Survey (ACS) 5-year collection. The ACS is a continuous household survey that collects social, demographic, economic, and housing information from the population in the United States each month. The Census Bureau calculates the income-to-poverty ratio (IPR) based on money income reported for families relative to the poverty thresholds, which are determined based on the family size and structure. Noncash benefits (such as food stamps and housing subsidies) are excluded, as are capital gains and losses. The IPR is the percentage of family income that is above or below the federal poverty level. The IPR indicator ranges from 0 to a top-coded value of 999. A family with income at the poverty threshold has an IPR value of 100. The estimates in this file reflect the IPR for the neighborhoods around schools which may be different from the neighborhood conditions of students enrolled in schools.All information contained in this file is in the public domain. Data users are advised to review NCES program documentation and feature class metadata to understand the limitations and appropriate use of these data.

U.S. Higher Education Market size was valued at USD 101165.92 USD Million in 2023 and is projected to reach USD 176174.98 USD Million by 2031, growing at a CAGR of 7.18% during the forecast period 2024-2031.

U.S. Higher Education Market Drivers

The market drivers for the U.S. Higher Education Market can be influenced by various factors. These may include:

Demographics: Shifts in the population’s composition and size of the college-age population have an impact on the demand for higher education.

Economic Conditions: A person’s desire to pursue higher education and their capacity to pay for it are influenced by a number of economic factors, such as income levels, unemployment rates, and the general health of the economy.

Technological Innovations: These include online learning environments, virtual classrooms, and adaptive learning technologies, which have an impact on how higher education is delivered.

Government Funding and Policies: The higher education industry is greatly impacted by changes to government funding and policy, including financial aid programs and rules pertaining to student loans and accreditation.

Globalization: As more students from outside pursue higher education in the United States and American universities broaden their global reach, there is a corresponding increase in the demand for higher education.

job Market Trends: Higher education institutions’ program offerings and enrollment trends are influenced by the job market’s need for particular skills and credentials.

Competitive Landscape: Innovation and advancements in higher education offerings are fueled by competition among schools and universities, which includes rivalry for students, faculty, research funds, and rankings.

Social and Cultural Factors: The higher education market is shaped by shifting societal attitudes regarding education, cultural views of the value of higher education, and changing preferences for various educational experiences.

The 2017-2018 School Neighborhood Poverty Estimates are based on school locations from the 2017-2018 Common Core of Data (CCD) school file and income data from families with children ages 5 to 17 in the U.S. Census Bureau’s 2014-2018 American Community Survey (ACS) 5-year collection. The ACS is a continuous household survey that collects social, demographic, economic, and housing information from the population in the United States each month. The Census Bureau calculates the income-to-poverty ratio (IPR) based on money income reported for families relative to the poverty thresholds, which are determined based on the family size and structure. Noncash benefits (such as food stamps and housing subsidies) are excluded, as are capital gains and losses. The IPR is the percentage of family income that is above or below the federal poverty level. The IPR indicator ranges from 0 to a top-coded value of 999. A family with income at the poverty threshold has an IPR value of 100. The estimates in this file reflect the IPR for the neighborhoods around schools which may be different from the neighborhood conditions of students enrolled in schools.All information contained in this file is in the public domain. Data users are advised to review NCES program documentation and feature class metadata to understand the limitations and appropriate use of these data.

GCCSA based data for Occupation by Total Personal Income (Weekly) by Non-school Qualification: Level of Education, in Working Population Profile (WPP), 2016 Census. Count of employed persons aged 15 years and over with a qualification. Excludes schooling up to Year 12. Excludes persons with a qualification out of the scope of the Australian Standard Classification of Education (ASCED). W18 is broken up into 5 sections (W18a - W18e), this section contains 'Total Negative Nil income Managers' - 'Total Total Total'. The data is by GCCSA 2016 boundaries. Periodicity: 5-Yearly. Note: There are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals. For more information visit the data source: http://www.abs.gov.au/census.

SA3 based data for Occupation by Total Personal Income (Weekly) by Non-school Qualification: Level of Education, in Working Population Profile (WPP), 2016 Census. Count of employed persons aged 15 years and over with a qualification. Excludes schooling up to Year 12. Excludes persons with a qualification out of the scope of the Australian Standard Classification of Education (ASCED). W18 is broken up into 5 sections (W18a - W18e), this section contains 'Higher qualifications Negative Nil income Managers' - 'Certificate level Not further defined $300-$399 Total'. The data is by SA3 2016 boundaries. Periodicity: 5-Yearly. Note: There are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals. For more information visit the data source: http://www.abs.gov.au/census.

LGA based data for Occupation by Total Personal Income (Weekly) by Non-school Qualification: Level of Education, in Working Population Profile (WPP), 2016 Census. Count of employed persons aged 15 years and over with a qualification. Excludes schooling up to Year 12. Excludes persons with a qualification out of the scope of the Australian Standard Classification of Education (ASCED). W18 is broken up into 5 sections (W18a - W18e), this section contains 'Higher qualifications Negative Nil income Managers' - 'Certificate level Not further defined $300-$399 Total'. The data is by LGA 2016 boundaries. Periodicity: 5-Yearly. Note: There are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals. For more information visit the data source: http://www.abs.gov.au/census.

SA4 based data for Occupation by Total Personal Income (Weekly) by Non-school Qualification:Level of Education, in Working Population Profile (WPP), 2016 Census. Count of employed persons aged 15 years and over with a qualification. Excludes schooling up to Year 12. Excludes persons with a qualification out of the scope of the Australian Standard Classification of Education (ASCED). W18 is broken up into 5 sections (W18a - W18e), this section contains 'Certificate I and II level $2000-$2999 Managers' - 'Level of education inadequately described Not stated Total Total'. The data is by SA4 2016 boundaries. Periodicity: 5-Yearly. Note: There are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals. For more information visit the data source: http://www.abs.gov.au/census.

This data provides historical summaries of total participation and meals served as part of the USDA's Food and Nutrition Service (FNS) School Breakfast Program. The summary data begins in 1969, the year that FNS was established to administer USDA's nutrition assistance program. The School Breakfast Program is a federally assisted meal program operating in public and nonprofit private schools and residential child care institutions. It began as a pilot project in 1966, and was made permanent in 1975. The School Breakfast Program is administered at the Federal level by the Food and Nutrition Service. At the State level, the program is usually administered by State education agencies, which operate the program through agreements with local school food authorities in more than 89,000 schools and institutions. School districts and independent schools that choose to take part in the breakfast program receive cash subsidies from the USDA for each meal they serve. In return, they must serve breakfasts that meet Federal requirements, and they must offer free or reduced price breakfasts to eligible children. Any child at a participating school may purchase a meal through the School Breakfast Program. Children from families with incomes at or below 130 percent of the Federal poverty level are eligible for free meals. Those with incomes between 130 percent and 185 percent of the poverty level are eligible for reduced-price meals. Resources in this dataset:Resource Title: School Breakfast Participation and Meals Served Data. File Name: sbsummar.xlsResource Description: Data are provided by federal fiscal year rather than calendar or school year. This includes the months of October through September. The total participation numbers for this data is based on a nine month average: October - May plus September.Resource Title: School Breakfast Participation and Meals Served Data. File Name: SchoolBreakfasts2.csvResource Description: Data are provided by federal fiscal year rather than calendar or school year. This includes the months of October through September. The total participation numbers for this data is based on a nine month average: October - May plus September. Participation and meals served numbers are counted in millions, and the free/reduced price meals is a percentage of total meals. 2] in the reduced price column indicates that these numbers were included with the free participation numbers. Resource Title: Data Dictionary. File Name: Data Dictionary_SchoolBreakfastParticipationMealsServed.csv

In the United States, women holding a bachelor's degree earned, on average, 1,352 U.S. dollars per week in the second quarter of 2024. This can be compared with male bachelor's degree holders who on average earn 1,757 U.S dollars.

SA2 based data for Occupation by Total Personal Income (Weekly) by Non-school Qualification: Level of Education, in Working Population Profile (WPP), 2016 Census. Count of employed persons aged 15 …Show full descriptionSA2 based data for Occupation by Total Personal Income (Weekly) by Non-school Qualification: Level of Education, in Working Population Profile (WPP), 2016 Census. Count of employed persons aged 15 years and over with a qualification. Excludes schooling up to Year 12. Excludes persons with a qualification out of the scope of the Australian Standard Classification of Education (ASCED). W18 is broken up into 5 sections (W18a - W18e), this section contains 'Total Negative Nil income Managers' - 'Total Total Total'. The data is by SA2 2016 boundaries. Periodicity: 5-Yearly. Note: There are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals. For more information visit the data source: http://www.abs.gov.au/census. Copyright attribution: Government of the Commonwealth of Australia - Australian Bureau of Statistics, (2017): ; accessed from AURIN on 12/3/2020. Licence type: Creative Commons Attribution 2.5 Australia (CC BY 2.5 AU)