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 2024, the median household income in the United States was 83,730 U.S. dollars. This reflected an increase from the previous year. Household income The 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 varied from state to state. In 2024, Massachusetts recorded the highest median household income in the country, at 113,900 U.S. dollars. On the other hand, Mississippi, recorded the lowest, at 55,980 U.S. dollars.Household income is also used to determine the poverty rate in the United States. In 2024, 10.6 percent of the U.S. population was living below the national poverty line. This was the lowest level since 2019. Similarly, the child poverty rate, which represents people under the age of 18 living in poverty, reached a three-decade low of 14.3 percent of the children. The state with the widest gap between the rich and the poor was New York, with a Gini coefficient score of 0.52 in 2024. The Gini coefficient is calculated by looking at average income rates. A score of zero would reflect perfect income equality, while a score of one indicates complete inequality.

Adult Income Data (Processed)

Overview

This dataset, sourced from the UCI Machine Learning Repository (originally from the Census Bureau), contains information about individuals and their income level, predicting whether income exceeds $50K/yr based on demographic and employment data. This version of the dataset has been processed and cleaned, making it ready for analysis and machine learning tasks.

Processing Steps

The following steps were performed to clean and transform the dataset: - Handling of missing values: '?' entries were replaced with NaN and rows with missing values were removed. - Categorical feature transformation: Categorical columns were converted into numerical format using one-hot encoding, with the first category dropped to avoid multicollinearity.

Key Insights

Based on the processed data, the following insights were generated: - Average Age: The average age of individuals in the dataset is approximately 38.44 years. - Income Distribution: - Approximately 75.11% of individuals have an income of <=50K. - Approximately 24.89% of individuals have an income of >50K.

• Top 5 Most Frequent Occupations: The most common occupations in the dataset are: occupation Prof-specialty 4038 Craft-repair 4030 Exec-managerial 3992 Adm-clerical 3721 Sales 3584

• Average Hours Worked per Week by Income Level:

income <=50K 39.348592

50K 45.706580

Ready for Analysis

This processed dataset is suitable for exploratory data analysis, building classification models to predict income, and other related machine learning tasks.

. U.S. Bureau of Labor Statistics provides Average Weekly Earnings in USD. Monthly Earnings include Private Non Agricultural sector only.


Further information about United States Monthly Earnings

• In the latest reports, US Population reached 341 million people in Dec 2024
• Unemployment Rate of US increased to 4 % in Sep 2025
• The country's Labour Force Participation Rate remained the same rate at 62 % in Sep 2025

Context

This dataset contains information about individuals' demographic and employment attributes to predict whether their income exceeds $50,000 per year. It originates from the 1994 U.S. Census database and has been widely used in classification problems, making it an excellent resource for machine learning, data analysis, and statistical modeling.

Content

The dataset includes various features related to personal and work-related attributes. The target variable is whether an individual's income exceeds $50,000 annually.

Key features include:

Age: Age of the individual.

Workclass: Employment type (e.g., private, government, self-employed).

Education: Highest level of education achieved.

Education-Num: Number corresponding to the level of education.

Marital Status: Marital status of the individual.

Occupation: Profession or job role.

Relationship: Family role (e.g., husband, wife, not in family).

Race: Race of the individual.

Sex: Gender of the individual.

Capital Gain: Income from investment sources other than salary.

Capital Loss: Losses from investment sources.

Hours Per Week: Average number of hours worked per week.

Native Country: Country of origin of the individual

Variables

Age: Continuous variable representing the age of the individual.

Workclass: Categorical variable indicating the type of employment (e.g., Private, Self-Employed, Government).

Education: Categorical variable showing the highest level of education achieved (e.g., Bachelors, Masters).

Education-Num: Numerical representation of the education level.

Marital Status: Categorical variable representing marital status (e.g., Married, Never-Married).

Occupation: Categorical variable indicating the job role or occupation

Relationship: Categorical variable describing the family relationship (e.g., Husband, Wife).

Race: Categorical variable showing the race of the individual.

Sex: Categorical variable indicating the gender of the individual.

Capital Gain: Continuous variable representing income from capital gains.

Capital Loss: Continuous variable representing losses from investments.

Hours Per Week: Continuous variable showing the average working hours per week.

Native Country: Categorical variable indicating the country of origin.

Income: Target variable (binary), indicating whether the individual earns more than $50,000 (>50K) or not (<=50K).

Acknowledgements

This dataset was derived from the 1994 U.S. Census database and has been made publicly available for research and educational purposes. It is not affiliated with any specific organization. Users are encouraged to comply with ethical data usage guidelines while working with this dataset.

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.

The graph presents the median monthly salary in the United States from 2000 to 2025. The x-axis represents the years, labeled from '00 to '25*, while the y-axis shows the salary amounts in U.S. dollars per month. Throughout this twenty-five-year period, the median monthly salary consistently increased from $2491.67 in 2000 to $5195.67 in 2025. The data highlights a steady upward trend, with annual salaries rising each year without any declines. Notably, the salary grew by approximately $200 each year from 2000 to 2019, surged to $4265.08 in 2020, and continued to climb each subsequent year, reaching $5023.42 by 2024. This consistent growth reflects economic advancements and potential increases in workforce compensation over the decade. The information is depicted in a line graph format, effectively illustrating the continuous rise in median monthly salaries across the specified years.

Graph and download economic data for Mean Personal Income in the United States (MAPAINUSA646N) from 1974 to 2024 about average, personal income, personal, income, and USA.

Graph and download economic data for Average Weekly Earnings Per Person in the United Kingdom (AWEPPUKQ) from Q1 1919 to Q4 2016 about academic data, United Kingdom, earnings, average, and per capita.

The median annual earnings for full-time employees in the United Kingdom was just over 39,000 British pounds in 2025, compared with 37,400 pounds in the previous year. At the start of the provided time period, in 1999, the average full-time salary in the UK was 17,800 pounds per year, with median earnings exceeding 20,000 pounds per year in 2002, and 30,000 by 2019. Wages continue to grow faster than inflation in 2025 Between November 2021 and July 2023 inflation was higher than wage growth in the UK, with wages still outpacing inflation as of March 2025. At the peak of the recent wave of high inflation in October 2022, the CPI inflation rate reached a 41-year-high of 11.1 percent, wages were growing much slower at 6.1 percent. Since that peak, inflation remained persistently high for several months, only dropping below double figures in April 2023, when inflation was 8.7 percent, down from 10.1 percent in the previous month. For 2023 as a whole, the average annual rate of inflation was 7.3 percent but fell to 2.5 percent in 2024, but is forecast to increase to 3.2 percent in 2025. Highest and lowest-paid occupations As of 2023, the highest-paid occupation in the UK was that of Chief Executives and Senior Officials, who had an average weekly pay of approximately, 1,576 pounds. By contrast, the lowest-paid occupation that year was that of retail cashiers, and check-out operators, who earned approximately 383 pounds a week. For industry sectors as a whole, people who worked full-time in the electricity, gas, steam and air conditioning supply sector had the highest average earnings, at 955 pounds a week, compared with 505 pounds a week in the accommodation and food services sector, the lowest average earnings in 2023.

The estimated median household income and estimated median family income are two separate measures: every family is a household, but not every household is a family. According to the U.S. Census Bureau definitions of the terms, a family “includes a householder and one or more people living in the same household who are related to the householder by birth, marriage, or adoption,”[1] while a household “includes all the people who occupy a housing unit,” including households of just one person[2]. When evaluated together, the estimated median household income and estimated median family income provide a thorough picture of household-level economics in Champaign County.

Both estimated median household income and estimated median family income were higher in 2024 than in 2005. The change in estimated median household income between 2023 and 2024 was not statistically significant. However, the increase in estimated median family income between 2023 and 2024 was statistically significant. Estimated median family income is consistently higher than estimated median household income, largely due to the definitions of each term, and the types of household that are measured and are not measured in each category.

Median income data was sourced from the U.S. Census Bureau’s American Community Survey (ACS) 1-Year Estimates, which are released annually.

As with any datasets that are estimates rather than exact counts, it is important to take into account the margins of error (listed in the column beside each figure) when drawing conclusions from the data.

Due to the impact of the COVID-19 pandemic, instead of providing the standard 1-year data products, the Census Bureau released experimental estimates from the 1-year data. This includes a limited number of data tables for the nation, states, and the District of Columbia. The Census Bureau states that the 2020 ACS 1-year experimental tables use an experimental estimation methodology and should not be compared with other ACS data. For these reasons, and because data is not available for Champaign County, no data for 2020 is included in this Indicator.

For interested data users, the 2020 ACS 1-Year Experimental data release includes datasets on Median Household Income in the Past 12 Months (in 2020 Inflation-Adjusted Dollars) and Median Family Income in the Past 12 Months (in 2020 Inflation-Adjusted Dollars).

[1] U.S. Census Bureau. (Date unknown). Glossary. “Family Household.” (Accessed 19 April 2016).

[2] U.S. Census Bureau. (Date unknown). Glossary. “Household.” (Accessed 19 April 2016).

Sources: U.S. Census Bureau; American Community Survey, 2024 American Community Survey 1-Year Estimates, Table S1903; generated by CCRPC staff; using data.census.gov; (2 December 2025).; U.S. Census Bureau; American Community Survey, 2023 American Community Survey 1-Year Estimates, Table S1903; generated by CCRPC staff; using data.census.gov; (17 October 2024).; U.S. Census Bureau; American Community Survey, 2022 American Community Survey 1-Year Estimates, Table S1903; generated by CCRPC staff; using data.census.gov; (18 September 2023).; U.S. Census Bureau; American Community Survey, 2021 American Community Survey 1-Year Estimates, Table S1903; generated by CCRPC staff; using data.census.gov; (3 October 2022).; U.S. Census Bureau; American Community Survey, 2019 American Community Survey 1-Year Estimates, Table S1903; generated by CCRPC staff; using data.census.gov; (7 June 2021).; U.S. Census Bureau; American Community Survey, 2018 American Community Survey 1-Year Estimates, Table S1903; generated by CCRPC staff; using data.census.gov; (7 June 2021).;U.S. Census Bureau; American Community Survey, 2017 American Community Survey 1-Year Estimates, Table S1903; generated by CCRPC staff; using American FactFinder; (13 September 2018).; U.S. Census Bureau; American Community Survey, 2016 American Community Survey 1-Year Estimates, Table S1903; generated by CCRPC staff; using American FactFinder; (14 September 2017).; U.S. Census Bureau; American Community Survey, 2015 American Community Survey 1-Year Estimates, Table S1903; generated by CCRPC staff; using American FactFinder; (19 September 2016).; U.S. Census Bureau; American Community Survey, 2014 American Community Survey 1-Year Estimates, Table S1903; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2013 American Community Survey 1-Year Estimates, Table S1903; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2012 American Community Survey 1-Year Estimates, Table S1903; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2011 American Community Survey 1-Year Estimates, Table S1903; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2010 American Community Survey 1-Year Estimates, Table S1903; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2009 American Community Survey 1-Year Estimates, Table S1903; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2008 American Community Survey 1-Year Estimates, Table S1903; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2007 American Community Survey 1-Year Estimates, Table S1903; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2006 American Community Survey 1-Year Estimates, Table S1903; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2005 American Community Survey 1-Year Estimates, Table S1903; generated by CCRPC staff; using American FactFinder; (16 March 2016).

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

Wages in Mexico decreased to 621.98 MXN/Day in October from 623.13 MXN/Day in September of 2025. This dataset provides - Mexico Average Daily Wages - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Bolivia Average Monthly Nominal Salary: Adult Education & Others data was reported at 4,673.000 BOB in 2023. This records a decrease from the previous number of 4,760.000 BOB for 2022. Bolivia Average Monthly Nominal Salary: Adult Education & Others data is updated yearly, averaging 2,842.000 BOB from Dec 1996 (Median) to 2023, with 28 observations. The data reached an all-time high of 4,805.000 BOB in 2021 and a record low of 1,054.000 BOB in 1996. Bolivia Average Monthly Nominal Salary: Adult Education & Others data remains active status in CEIC and is reported by National Statistics Institute. The data is categorized under Global Database’s Bolivia – Table BO.G008: Household Survey: Average Monthly Nominal Salary.

Bolivia Average Monthly Nominal Salary Index: Adult Education & Others data was reported at 340.010 1995=100 in 2023. This records a decrease from the previous number of 371.230 1995=100 for 2022. Bolivia Average Monthly Nominal Salary Index: Adult Education & Others data is updated yearly, averaging 250.760 1995=100 from Dec 1996 (Median) to 2023, with 28 observations. The data reached an all-time high of 371.230 1995=100 in 2022 and a record low of 109.510 1995=100 in 1996. Bolivia Average Monthly Nominal Salary Index: Adult Education & Others data remains active status in CEIC and is reported by National Statistics Institute. The data is categorized under Global Database’s Bolivia – Table BO.G010: Household Survey: Average Monthly Nominal Salary Index: By Industry.

Average earnings, by age group and highest level of education, from the 2016 Census of Population.

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.

Key information about Russia Household Income per Capita

• Russia Annual Household Income per Capita reached 8,179.992 USD in Dec 2024, compared with the previous value of 7,549.747 USD in Dec 2023.
• Russia Annual Household Income per Capita data is updated yearly, available from Dec 1992 to Dec 2024, with an averaged value of 7,177.112 USD.
• The data reached an all-time high of 9,660.697 USD in Dec 2013 and a record low of 183.584 USD in Dec 1992.
• In the latest reports, Retail Sales of Russia grew 1.800 % YoY in Sep 2025.

CEIC calculates Annual Household Income per Capita from Monthly Average Household Income per Capita multiplied by 12 and converts it into USD. Federal State Statistics Service provides Average Household Income per Capita in local currency. The Bank of Russia average market exchange rate is used for currency conversions.

About this dataset

Context

The dataset presents median household incomes for various household sizes in Jersey City, NJ, as reported by the U.S. Census Bureau. The dataset highlights the variation in median household income with the size of the family unit, offering valuable insights into economic trends and disparities within different household sizes, aiding in data analysis and decision-making.

Key observations

• Of the 7 household sizes (1 person to 7-or-more person households) reported by the census bureau, all of the household sizes were found in Jersey City. Across the different household sizes in Jersey City the mean income is $110,379, and the standard deviation is $23,502. The coefficient of variation (CV) is 21.29%. This high CV indicates high relative variability, suggesting that the incomes vary significantly across different sizes of households.
• In the most recent year, 2023, The smallest household size for which the bureau reported a median household income was 1-person households, with an income of $61,700. It then further increased to $132,273 for 7-person households, the largest household size for which the bureau reported a median household income.

Content

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

Household Sizes:

• 1-person households
• 2-person households
• 3-person households
• 4-person households
• 5-person households
• 6-person households
• 7-or-more-person households

Variables / Data Columns

• Household Size: This column showcases 7 household sizes ranging from 1-person households to 7-or-more-person households (As mentioned above).
• Median Household Income: Median household income, in 2023 inflation-adjusted dollars for the specific household size.

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 Jersey City median household income. You can refer the same here