In the United States, the median income for Hispanic households in 2024 was 70,950 U.S. dollars. This represented a significant increase from the previous year. Since 1990, the median income for Hispanic households grew from 48,800 U.S. dollars (adjusted to 2024 values).

The statistic shows the percentage distribution of Hispanic household income in the United States from 2006 to 2021. In 2021, 6.6 percent of U.S. Hispanic households had an annual income of 200,000 or more U.S. dollars.

This layer shows median household income by race and by age of householder. This is shown by county 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, Hispanic or Latino householder.

Graph and download economic data for Income Gini Ratio for Households by Race of Householder, Hispanic Origin (Any Race) (GINIHARH) from 1972 to 2024 about gini, hispanic, households, income, and USA.

The statistic shows the share of Hispanic households among all households in the United States that had an income of 100,000 U.S. dollars or more annually from 2007 to 2022. In 2022, Hispanic households accounted for approximately **** percent of all households in the U.S. with an income of 100,000 U.S. dollars or more in that year.

Graph and download economic data for Income Gini Ratio for Households by Race of Householder, White Alone Not Hispanic (GINIWANHH) from 2002 to 2024 about gini, white, hispanic, households, income, and USA.

Key information about Mexico Household Income per Capita

• Mexico Annual Household Income per Capita reached 5,067.670 USD in Dec 2024, compared with the previous value of 3,690.156 USD in Dec 2022.
• Mexico Annual Household Income per Capita data is updated yearly, available from Dec 2006 to Dec 2024, with an averaged value of 3,155.323 USD.
• The data reached an all-time high of 5,067.670 USD in Dec 2024 and a record low of 2,639.778 USD in Dec 2020.
• In the latest reports, Retail Sales of Mexico grew 2.418 % YoY in Sep 2025.

CEIC calculates Annual Household Income per Capita from Quarterly Average Household Income per Capita multiplied by 4 and converts it into USD. The National Institute of Statistics and Geography provides Average Household Income per Capita in local currency. Federal Reserve Board average market exchange rate is used for currency conversions.

In 2024, about 44.7 percent of White households in the United States had an annual median income of over 100,000 U.S. dollars. By comparison, only 26.8 percent of Black households were in this income group. Asian Americans, on the other hand, had the highest median income per household that year.

Lake County, Illinois Demographic Data. Explanation of field attributes:

Total Population – The entire population of Lake County.

White – Individuals who are of Caucasian race. This is a percent.

African American – Individuals who are of African American race. This is a percent.

Asian – Individuals who are of Asian race. This is a percent.

Hispanic – Individuals who are of Hispanic ethnicity. This is a percent.

Does not Speak English- Individuals who speak a language other than English in their household. This is a percent.

Under 5 years of age – Individuals who are under 5 years of age. This is a percent.

Under 18 years of age – Individuals who are under 18 years of age. This is a percent.

18-64 years of age – Individuals who are between 18 and 64 years of age. This is a percent.

65 years of age and older – Individuals who are 65 years old or older. This is a percent.

Male – Individuals who are male in gender. This is a percent.

Female – Individuals who are female in gender. This is a percent.

High School Degree – Individuals who have obtained a high school degree. This is a percent.

Associate Degree – Individuals who have obtained an associate degree. This is a percent.

Bachelor’s Degree or Higher – Individuals who have obtained a bachelor’s degree or higher. This is a percent.

Utilizes Food Stamps – Households receiving food stamps/ part of SNAP (Supplemental Nutrition Assistance Program). This is a percent.

Median Household Income - A median household income refers to the income level earned by a given household where half of the homes in the area earn more and half earn less. This is a dollar amount.

No High School – Individuals who have not obtained a high school degree. This is a percent.

Poverty – Poverty refers to families and people whose income in the past 12 months is below the poverty level. This is a percent.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, the decennial census is the official source of population totals for April 1st of each decennial year. In between censuses, the Census Bureau's Population Estimates Program produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units and the group quarters population for states and counties..Information about the American Community Survey (ACS) can be found on the ACS website. Supporting documentation including code lists, subject definitions, data accuracy, and statistical testing, and a full list of ACS tables and table shells (without estimates) can be found on the Technical Documentation section of the ACS website.Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Source: U.S. Census Bureau, 2019-2023 American Community Survey 5-Year Estimates.ACS data generally reflect the geographic boundaries of legal and statistical areas as of January 1 of the estimate year. For more information, see Geography Boundaries by Year..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 roughly 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 ACS Technical Documentation). The effect of nonsampling error is not represented in these tables..Users must consider potential differences in geographic boundaries, questionnaire content or coding, or other methodological issues when comparing ACS data from different years. Statistically significant differences shown in ACS Comparison Profiles, or in data users' own analysis, may be the result of these differences and thus might not necessarily reflect changes to the social, economic, housing, or demographic characteristics being compared. For more information, see Comparing ACS Data..The Hispanic origin and race codes were updated in 2020. For more information on the Hispanic origin and race code changes, please visit the American Community Survey Technical Documentation website..Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on 2020 Census data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..Explanation of Symbols:- The estimate could not be computed because there were an insufficient number of sample observations. For a ratio of medians estimate, one or both of the median estimates falls in the lowest interval or highest interval of an open-ended distribution. For a 5-year median estimate, the margin of error associated with a median was larger than the median itself.N The estimate or margin of error cannot be displayed because there were an insufficient number of sample cases in the selected geographic area. (X) The estimate or margin of error is not applicable or not available.median- The median falls in the lowest interval of an open-ended distribution (for example "2,500-")median+ The median falls in the highest interval of an open-ended distribution (for example "250,000+").** The margin of error could not be computed because there were an insufficient number of sample observations.*** The margin of error could not be computed because the median falls in the lowest interval or highest interval of an open-ended distribution.***** A margin of error is not appropriate because the corresponding estimate is controlled to an independent population or housing estimate. Effectively, the corresponding estimate has no sampling error and the margin of error may be treated as zero.

Graph and download economic data for Income Gini Ratio for Households by Race of Householder, White Not Hispanic (DISCONTINUED) (GINIWNHH) from 1972 to 2001 about gini, white, hispanic, households, income, and USA.

In the United States, the median income for white, non-hispanic households in 2024 was 92,530 U.S. dollars. This represented an increase from the previous year. Since 1990, the median income of white households grew from 69,810 U.S. dollars (adjusted to 2024 values).

This product has been archived in accordance with Federal Grant Compliance and is no longer actively updated. The site remains accessible for historical reference purposes.Disclaimer: This application is a DRAFT and is still under development. A look at median household income in Dallas using the methodology described below. Estimated Median Hold Income (S1903) householdEach scored category represents 20% of the total population of Dallas. A score of 5 indicates that the median household income is between $11,453 - $46,477.A score of 4 indicates the median household income is between $46,671 - $57,687A score of 3 indicates that the median household income is between $57,747 - $74,764.A score of 2 indicates that the median household income is between $75,000 - $111,544.A score of 1 indicates the median household income is between $111,667 - $250,001.

Parameter

Data Field

Data Source

American Community Survey 5-Year Estimate 2016-2020

MEDIAN INCOME IN THE PAST 12 MONTHS (IN 2020 INFLATION-ADJUSTED DOLLARS)

U.S. Census Bureau, Table: S1903

median income of a White household

The estimated median income of a White household between 2016-2020

U.S. Census Bureau, Table: S1903

median income of a Black or African American household

The estimated median income of a Black or African American household between 2016-2020

U.S. Census Bureau, Table: S1903

median income of an Asian household

The estimated median income of an Asian household between 2016-2020

U.S. Census Bureau, Table: S1903

median income of an American Indian or Alaskan Native household

The estimated median income of an American Indian or Alaskan Native household between 2016-2020

U.S. Census Bureau, Table: S1903

median income of a Native Hawaiian and Other Pacific Islander household

The estimated median income of a Native Hawaiian and Other Pacific Islander household between 2016-2020

U.S. Census Bureau, Table: S1903

median income of a household of "Some Other Race"

The estimated median income of a household of "Some Other Race" between 2016-2020

U.S. Census Bureau, Table: S1903

median income of a household of "two or more races"

The estimated median income of a household of "two or more races" between 2016-2020

U.S. Census Bureau, Table: S1903

median income of a Hispanic or Latino household

The estimated median income of Hispanic or Latino households between 2016-2020

U.S. Census Bureau, Table: S1903

median income of an owner-occupied household

The estimated median income of an owner-occupied household between 2016-2020

U.S. Census Bureau, Table: S1903

This data collection supplies standard monthly labor force data as well as supplemental data on work experience, income, noncash benefits, and migration. Comprehensive information is given on the employment status, occupation, and industry of persons 15 years old and older. Additional data are available concerning weeks worked and hours per week worked, reason not working full-time, total income and income components, and residence on March 1, 2000. This file also contains data covering noncash income sources such as food stamps, school lunch programs, employer-provided group health insurance plans, employer-provided pension plans, personal health insurance, Medicaid, Medicare, CHAMPUS or military health care, and energy assistance. Information on demographic characteristics, such as age, sex, race, household relationships, and Hispanic origin, is available for each person in the household enumerated.

United States - Income Gini for Households by Race of Householder, Hispanic Origin (Any Race) was 0.47600 Ratio in January of 2024, according to the United States Federal Reserve. Historically, United States - Income Gini for Households by Race of Householder, Hispanic Origin (Any Race) reached a record high of 0.48100 in January of 2013 and a record low of 0.36700 in January of 1973. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Income Gini for Households by Race of Householder, Hispanic Origin (Any Race) - last updated from the United States Federal Reserve on November of 2025.

Median Household Income By Race of Householder By Tract, 2012-2016. Data is from American Community Survey.All incomes are reported here in 2016 dollars, and are based on the past 12 months from the date the respondent got the survey. Estimates and margins of error are available for total median household income, and for eight race/ethnic groups:American Indian and Alaska NativeAsianBlack or African AmericanHispanic or LatinoNative Hawaiian and Other Pacific IslanderNon-Hispanic WhiteSome Other RaceTwo or More RacesPatterns are most noticeable when zoomed in to cities. Explore the bookmarked cities, and search for your own city to see the pattern there.Nationally, median household income in the past 12 months by race/ethnicity of householder is as follows:

United States

Estimate Margin of Error

Median household income in the past 12 months (in 2016 inflation-adjusted dollars) --

Total: $55,322 +/-120

American Indian and Alaska Native Householder 38,502 +/-403

Asian Householder 76,667 +/-256

Black or African American Householder 36,651 +/-99

Hispanic or Latino Householder 44,254 +/-157

Native Hawaiian and Other Pacific Islander Householder 54,993 +/-996

Non-Hispanic White Householder 61,018 +/-107

Some Other Race Householder 41,927 +/-137

Two or More Races Householder 50,513 +/-269 Accompanying layer also available.

NOTE: Data based on a sample except in P3, P4, H3, and H4. For.information on confidentiality protection, sampling error,.nonsampling error, definitions, and count corrections see.http://www.census.gov/prod/cen2000/doc/sf3.pdf

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.

Long-term longitudinal dataset with information on generational links and socioeconomic and health conditions of individuals over time. The central foci of the data are economic and demographic, with substantial detail on income sources and amounts, wealth, savings, employment, pensions, family composition changes, childbirth and marriage histories, and residential location. Over the life of the PSID, the NIA has funded supplements on wealth, health, parental health and long term care, housing, and the financial impact of illness, thus also making it possible to model retirement and residential mobility. Starting in 1999, much greater detail on specific health conditions and health care expenses is included for respondent and spouse. Other enhancements have included a question series about emotional distress (2001); the two stem questions from the Composite International Diagnostic Interview to assess symptoms of major depression (2003); a supplement on philanthropic giving and volunteering (2001-03); a question series on Internet and computer use (2003); linkage to the National Death Index with cause of death information for more than 4,000 individuals through the 1997 wave, updated for each subsequent wave; social and family history variables and GIS-linked environmental data; basic data on pension plans; event history calendar methodology to facilitate recall of employment spells (2001). The reporting unit is the family: single person living alone or sharing a household with other non-relatives; group of people related by blood, marriage, or adoption; unmarried couple living together in what appears to be a fairly permanent arrangement. Interviews were conducted annually from 1968 through 1997; biennial interviewing began in 1999. There is an oversample of Blacks (30%). Waves 1990 through 1995 included a 20% Hispanic oversample; within the Hispanic oversample, Cubans and Puerto Ricans were oversampled relative to Mexicans. All data from 1994 through 2001 are available as public release files; prior waves can be obtained in archive versions. The special files with weights for families are also available. Restricted files include the Geocode Match File with information for 1968 through 2001, the 1968-2001 Death File, and the 1991 Medicare Claims File. * Dates of Study: 1968-2003 * Study Features: Longitudinal, Minority Oversampling * Sample Size: 65,000+ Links * ICPSR Series: http://www.icpsr.umich.edu/icpsrweb/ICPSR/series/00131 * ICPSR 1968-1999: Annual Core Data: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/07439 * ICPSR 1968-1999: Supplemental Files: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/03202 * ICPSR 1989-1990: Latino Sample: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/03203

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's Population Estimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units for states and counties..Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Survey website in the Technical Documentation section.Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Source: U.S. Census Bureau, 2017-2021 American Community Survey 5-Year Estimates.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 roughly 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 ACS Technical Documentation). The effect of nonsampling error is not represented in these tables..Between 2018 and 2019 the American Community Survey retirement income question changed. These changes resulted in an increase in both the number of households reporting retirement income and higher aggregate retirement income at the national level. For more information see Changes to the Retirement Income Question ..The Hispanic origin and race codes were updated in 2020. For more information on the Hispanic origin and race code changes, please visit the American Community Survey Technical Documentation website..The 2017-2021 American Community Survey (ACS) data generally reflect the March 2020 Office of Management and Budget (OMB) delineations of metropolitan and micropolitan statistical areas. In certain instances, the names, codes, and boundaries of the principal cities shown in ACS tables may differ from the OMB delineation lists due to differences in the effective dates of the geographic entities..Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..Explanation of Symbols:- The estimate could not be computed because there were an insufficient number of sample observations. For a ratio of medians estimate, one or both of the median estimates falls in the lowest interval or highest interval of an open-ended distribution. For a 5-year median estimate, the margin of error associated with a median was larger than the median itself.N The estimate or margin of error cannot be displayed because there were an insufficient number of sample cases in the selected geographic area. (X) The estimate or margin of error is not applicable or not available.median- The median falls in the lowest interval of an open-ended distribution (for example "2,500-")median+ The median falls in the highest interval of an open-ended distribution (for example "250,000+").** The margin of error could not be computed because there were an insufficient number of sample observations.*** The margin of error could not be computed because the median falls in the lowest interval or highest interval of an open-ended distribution.***** A margin of error is not appropriate because the corresponding estimate is controlled to an independent population or housing estimate. Effectively, the corresponding estimate has no sampling error and the margin of error may be treated as zero.