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.

Income of individuals by age group, sex and income source, Canada, provinces and selected census metropolitan areas, annual.

About this dataset

Context

The dataset presents the mean household income for each of the five quintiles in Money Creek Township, Minnesota, as reported by the U.S. Census Bureau. The dataset highlights the variation in mean household income across quintiles, offering valuable insights into income distribution and inequality.

Key observations

• Income disparities: The mean income of the lowest quintile (20% of households with the lowest income) is 24,649, while the mean income for the highest quintile (20% of households with the highest income) is 234,434. This indicates that the top earners earn 10 times compared to the lowest earners.
• *Top 5%: * The mean household income for the wealthiest population (top 5%) is 365,119, which is 155.74% higher compared to the highest quintile, and 1481.27% higher compared to the lowest quintile.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Income Levels:

• Lowest Quintile
• Second Quintile
• Third Quintile
• Fourth Quintile
• Highest Quintile
• Top 5 Percent

Variables / Data Columns

• Income Level: This column showcases the income levels (As mentioned above).
• Mean Household Income: Mean household income, in 2023 inflation-adjusted dollars for the specific income level.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Money Creek township median household income. You can refer the same here

Families of tax filers; Single-earner and dual-earner census families by number of children (final T1 Family File; T1FF).

Average and median market, total and after-tax income of individuals by visible minority group, Indigenous group and immigration status, Canada and provinces.

VITAL SIGNS INDICATOR Poverty (EQ5)

FULL MEASURE NAME The share of the population living in households that earn less than 200 percent of the federal poverty limit

LAST UPDATED December 2018

DESCRIPTION Poverty refers to the share of the population living in households that earn less than 200 percent of the federal poverty limit, which varies based on the number of individuals in a given household. It reflects the number of individuals who are economically struggling due to low household income levels.

DATA SOURCE U.S Census Bureau: Decennial Census http://www.nhgis.org (1980-1990) http://factfinder2.census.gov (2000)

U.S. Census Bureau: American Community Survey Form C17002 (2006-2017) http://api.census.gov

METHODOLOGY NOTES (across all datasets for this indicator) The U.S. Census Bureau defines a national poverty level (or household income) that varies by household size, number of children in a household, and age of householder. The national poverty level does not vary geographically even though cost of living is different across the United States. For the Bay Area, where cost of living is high and incomes are correspondingly high, an appropriate poverty level is 200% of poverty or twice the national poverty level, consistent with what was used for past equity work at MTC and ABAG. For comparison, however, both the national and 200% poverty levels are presented.

For Vital Signs, the poverty rate is defined as the number of people (including children) living below twice the poverty level divided by the number of people for whom poverty status is determined. Poverty rates do not include unrelated individuals below 15 years old or people who live in the following: institutionalized group quarters, college dormitories, military barracks, and situations without conventional housing. The household income definitions for poverty change each year to reflect inflation. The official poverty definition uses money income before taxes and does not include capital gains or noncash benefits (such as public housing, Medicaid, and food stamps). For the national poverty level definitions by year, see: https://www.census.gov/hhes/www/poverty/data/threshld/index.html For an explanation on how the Census Bureau measures poverty, see: https://www.census.gov/hhes/www/poverty/about/overview/measure.html

For the American Community Survey datasets, 1-year data was used for region, county, and metro areas whereas 5-year rolling average data was used for city and census tract.

To be consistent across metropolitan areas, the poverty definition for non-Bay Area metros is twice the national poverty level. Data were not adjusted for varying income and cost of living levels across the metropolitan areas.

Survey of Household Spending (SHS), average household spending, Canada, regions and provinces.

VITAL SIGNS INDICATOR Poverty (EQ5)

FULL MEASURE NAME The share of the population living in households that earn less than 200 percent of the federal poverty limit

LAST UPDATED December 2018

DESCRIPTION Poverty refers to the share of the population living in households that earn less than 200 percent of the federal poverty limit, which varies based on the number of individuals in a given household. It reflects the number of individuals who are economically struggling due to low household income levels.

DATA SOURCE U.S Census Bureau: Decennial Census http://www.nhgis.org (1980-1990) http://factfinder2.census.gov (2000)

U.S. Census Bureau: American Community Survey Form C17002 (2006-2017) http://api.census.gov

METHODOLOGY NOTES (across all datasets for this indicator) The U.S. Census Bureau defines a national poverty level (or household income) that varies by household size, number of children in a household, and age of householder. The national poverty level does not vary geographically even though cost of living is different across the United States. For the Bay Area, where cost of living is high and incomes are correspondingly high, an appropriate poverty level is 200% of poverty or twice the national poverty level, consistent with what was used for past equity work at MTC and ABAG. For comparison, however, both the national and 200% poverty levels are presented.

For Vital Signs, the poverty rate is defined as the number of people (including children) living below twice the poverty level divided by the number of people for whom poverty status is determined. Poverty rates do not include unrelated individuals below 15 years old or people who live in the following: institutionalized group quarters, college dormitories, military barracks, and situations without conventional housing. The household income definitions for poverty change each year to reflect inflation. The official poverty definition uses money income before taxes and does not include capital gains or noncash benefits (such as public housing, Medicaid, and food stamps). For the national poverty level definitions by year, see: https://www.census.gov/hhes/www/poverty/data/threshld/index.html For an explanation on how the Census Bureau measures poverty, see: https://www.census.gov/hhes/www/poverty/about/overview/measure.html

For the American Community Survey datasets, 1-year data was used for region, county, and metro areas whereas 5-year rolling average data was used for city and census tract.

To be consistent across metropolitan areas, the poverty definition for non-Bay Area metros is twice the national poverty level. Data were not adjusted for varying income and cost of living levels across the metropolitan areas.

Low income cut-offs (LICOs) before and after tax by community size and family size, in current dollars, annual.

VITAL SIGNS INDICATOR Poverty (EQ5)

FULL MEASURE NAME The share of the population living in households that earn less than 200 percent of the federal poverty limit

LAST UPDATED December 2018

DESCRIPTION Poverty refers to the share of the population living in households that earn less than 200 percent of the federal poverty limit, which varies based on the number of individuals in a given household. It reflects the number of individuals who are economically struggling due to low household income levels.

DATA SOURCE U.S Census Bureau: Decennial Census http://www.nhgis.org (1980-1990) http://factfinder2.census.gov (2000)

U.S. Census Bureau: American Community Survey Form C17002 (2006-2017) http://api.census.gov

METHODOLOGY NOTES (across all datasets for this indicator) The U.S. Census Bureau defines a national poverty level (or household income) that varies by household size, number of children in a household, and age of householder. The national poverty level does not vary geographically even though cost of living is different across the United States. For the Bay Area, where cost of living is high and incomes are correspondingly high, an appropriate poverty level is 200% of poverty or twice the national poverty level, consistent with what was used for past equity work at MTC and ABAG. For comparison, however, both the national and 200% poverty levels are presented.

For Vital Signs, the poverty rate is defined as the number of people (including children) living below twice the poverty level divided by the number of people for whom poverty status is determined. Poverty rates do not include unrelated individuals below 15 years old or people who live in the following: institutionalized group quarters, college dormitories, military barracks, and situations without conventional housing. The household income definitions for poverty change each year to reflect inflation. The official poverty definition uses money income before taxes and does not include capital gains or noncash benefits (such as public housing, Medicaid, and food stamps). For the national poverty level definitions by year, see: https://www.census.gov/hhes/www/poverty/data/threshld/index.html For an explanation on how the Census Bureau measures poverty, see: https://www.census.gov/hhes/www/poverty/about/overview/measure.html

For the American Community Survey datasets, 1-year data was used for region, county, and metro areas whereas 5-year rolling average data was used for city and census tract.

To be consistent across metropolitan areas, the poverty definition for non-Bay Area metros is twice the national poverty level. Data were not adjusted for varying income and cost of living levels across the metropolitan areas.

Tutkimuksessa kartoitettiin suomalaisten kulutustottumuksia ja elämäntapoja. Lisäksi käsiteltiin paljon turvallisuuskysymyksiä ja kaikkiin edellä mainittuihin teemoihin liittyviä asenteita. Vastaajilta kysyttiin heidän käsitystään omasta elintasosta ja kulutuksestaan (esim. taloudellinen tilanne, kulutusmahdollisuudet, yleinen hyvinvointi). Heitä pyydettiin samojen kysymysten avulla myös vertaamaan nykyistä tilannettaan viiden vuoden takaiseen sekä viiden vuoden päähän. Lisäksi vastaajia pyydettiin vertailemaan kulutustaan 'keskiarvokuluttajaan' sekä arvioimaan erilaisten keinojen käyttöään taloudellisesti tiukoissa tilanteissa (esim. lisätöiden tekeminen, lisälainan ottaminen). Vastaajia pyydettiin arvioimaan erilaisten kulutushyödykkeiden välttämättömyyttä itsellensä. Kulutukseen ja elämäntapaan liittyviä asioita selvitettiin väitelauseiden avulla, kuten 'Käyn paljon ulkona syömässä'. Toimintaa arkielämässä tiedusteltiin kuvitteellisten tilanteiden avulla, joihin tuli ottaa kantaa valmiiksi annettujen väitelauseiden avulla. Lisäksi tiedusteltiin vastaajien kokemusta yhteenkuuluvuudesta erilaisiin ryhmiin ja yhteisöihin (esim. perhe, kaupunki, seurakunta). Edelleen kysyttiin vastaajien käsitystä erilaisista riskeistä ja turvallisuudesta sekä tiedusteltiin vastaajien lainojen määriä ja maksuhäiriöitä. Taustamuuttujia olivat sukupuoli, syntymävuosi, asuinalue, siviilisääty, kotitalouden henkilöiden määrä, lasten määrä, koulutus, yhteiskuntaluokka, pääasiallinen toiminta, puoluekanta, oma ammatti, työsuhteen laatu, vanhempien ammatit ja yhteiskuntaluokka sekä lainojen määrä. The survey studied the lifestyle and consumer habits of Finnish people. The respondents were asked to compare their lifestyle and consumer habits to the average consumer, and to give their opinions on consumption-related issues. The respondents were asked to evaluate their life situation at the time of the survey, in the past, and in the future on several aspects of life, such as financial situation and general welfare. They were also asked to compare their expenditure and consumer behaviour (concerning e.g. food, housing, leisure activities, alcohol, travel) to those of the average consumer. Furthermore, the respondents were asked which things and household items they considered necessary and what they would have done had they had more money. The survey carried a set of attitudinal statements about consumption and lifestyle (e.g. "I often buy things that are on sale" or "Quality is more important to me than price"). Some questions covered on what grounds respondents make decisions on economical, family or work matters. Questions on social integration measured how closely the respondents felt that they were a part of their family, workplace, Internet communities, Finnish society, European Union etc. The respondents were also asked which generation and social class they most closely identified with. Opinions on values were measured by asking the respondents to rate the importance of various things (e.g. self-respect, world peace, prosperity, independence). Furthermore, the respondents were asked about the safety and security of their own life, relationships, European integration, Finnish society, and the world. The respondents feelings of insecurity were measured by asking them about risks at the personal level (unemployment, gambling, casual sexual encounters, etc.), and at the level of society (immigration, different types of crime, terrorism, environmental problems, etc.). The survey contained questions about the income, expenditure, savings and debts of the respondents and the household. Quickie loan use and possible bad credit were charted. Respondents were asked about their methods of coping when short of money (borrowing, reducing expenditure, gambling, etc.) Background variables included the respondent's gender, year of birth, marital status, household size, basic and vocational education, economic activity, occupation, party preference, experiences of unemployment, and financial circumstances as well as the number of children, occupations of the spouse and parents, and voting in elections. Todennäköisyysotanta: yksinkertainen satunnaisotantaProbability.SimpleRandom Itsetäytettävä lomake: paperinen lomakeSelfAdministeredQuestionnaire.Paper Itsetäytettävä lomake: verkkolomakeSelfAdministeredQuestionnaire.CAWI Self-administered questionnaire: PaperSelfAdministeredQuestionnaire.Paper Self-administered questionnaire: Web-based (CAWI)SelfAdministeredQuestionnaire.CAWI

A dataset listing the richest zip codes in Puerto Rico per the most current US Census data, including information on rank and average income.

Consumer Spending in the United States increased to 16350.20 USD Billion in the second quarter of 2025 from 16291.80 USD Billion in the first quarter of 2025. This dataset provides the latest reported value for - United States Consumer Spending - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

This table presents income shares, thresholds, tax shares, and total counts of individual Canadian tax filers, with a focus on high income individuals (95% income threshold, 99% threshold, etc.). Income thresholds are geography-specific; for example, the number of Nova Scotians in the top 1% will be calculated as the number of taxfiling Nova Scotians whose total income exceeded the 99% income threshold of Nova Scotian tax filers. Different definitions of income are available in the table namely market, total, and after-tax income, both with and without capital gains.