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.

Graph and download economic data for Real Personal Income (RPI) from Jan 1959 to Aug 2025 about personal income, personal, income, real, and USA.

Graph and download economic data for Median Household Income in the United States (MEHOINUSA646N) from 1984 to 2024 about households, median, income, and USA.

Graph and download economic data for Real Median Family Income in the United States (MEFAINUSA672N) from 1953 to 2024 about family, median, income, real, and USA.

Asian households measured the highest median household income among racial and ethnic groups in the United States. In 2024, Asian household incomes reached a median of 121,700 U.S. dollars. On the other hand, Black households had the lowest median income of 56,020 U.S. dollars. Overall, median household incomes in the United States stood at 83,730 U.S. dollars that year.Asian and Caucasian (white not Hispanic) households had relatively high median incomes, while the median income of Hispanic, African American, American Indian, and Alaskan Native households all came in lower than the national median. A number of related statistics illustrate further the current state of racial inequality in the United States. Unemployment is highest among Black or African American individuals in the U.S. nearing nine percent unemployed, according to the Bureau of Labor Statistics in 2024. Hispanic individuals (of any race) were most likely to go without health insurance as of 2024.

Australia Monthly Economic Indicators (2005-2024) Overview This dataset provides comprehensive monthly economic indicators for Australia spanning from January 2005 to December 2024. It includes key metrics such as Gross Domestic Product (GDP), Household Final Consumption Expenditure, and the Gini Index. Additionally, the dataset contains calculated indicators like the GDP Growth Rate and Household Consumption as a Percentage of GDP, providing valuable insights into the economic trends and income distribution over two decades.

Dataset Contents Date: The time period for each observation, recorded on a monthly basis. GDP: The Gross Domestic Product, representing the total market value of all final goods and services produced in Australia. Household_Final_Consumption_Expenditure: Total expenditure by households on goods and services, indicating consumer spending trends. Gini_Index: A measure of income inequality, with values ranging from 0 to 100, where 0 indicates perfect equality and 100 indicates perfect inequality. GDP_Growth_Rate: The month-over-month percentage growth rate of GDP. Household_Consumption_Percentage_of_GDP: The ratio of household final consumption expenditure to GDP, expressed as a percentage. File Format The dataset is provided in a CSV file format, making it easy to load and analyze using various data analysis tools and programming languages.

CSV File: australia_monthly_sample_dataset.csv Columns: Date: YYYY-MM-DD format (Monthly frequency from January 2005 to December 2024) GDP: Numeric (representing the GDP in local currency units) Household_Final_Consumption_Expenditure: Numeric (representing household consumption expenditure in local currency units) Gini_Index: Numeric (values ranging from 30 to 35, decreasing over time) GDP_Growth_Rate: Numeric (percentage change in GDP from the previous month) Household_Consumption_Percentage_of_GDP: Numeric (percentage of GDP spent on household consumption) Example Rows Date GDP Household_Final_Consumption_Expenditure Gini_Index GDP_Growth_Rate Household_Consumption_Percentage_of_GDP 2005-01-01 1002000.00 602150.00 35.00 NaN 60.10 2005-02-01 1004200.35 604730.21 34.98 0.22 60.23 2005-03-01 1006800.80 606590.74 34.95 0.26 60.24 Usage This dataset is ideal for researchers, economists, data scientists, and policy analysts interested in:

Analyzing economic growth trends in Australia. Studying the relationship between GDP growth and household consumption patterns. Investigating income inequality and its changes over time. Building predictive models for economic indicators. Conducting time-series analysis and forecasting.

This dataset provides values for WAGE GROWTH reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

Real average U.S. per capita personal income growth over the last 65 years exceeded a remarkable 400 percent. Also notable over this period is that the stark income differences across states have narrowed considerably: In 1939 the highest income state's per capita personal income was 4.5 times the lowest, but by 1976 this ratio had fallen to less than 2 times. Since 1976, the standard deviation of per capita incomes at the state level has actually risen, as some higher-income states have seen their income levels rise relative to the median of the states. A better understanding of the sources of these relative growth performances should help to characterize more effective economic development strategies, if income growth differences are predictable. In this paper, we look for statistically and economically significant growth factors by estimating an augmented growth model using a panel of the 48 contiguous states from 1939 to 2004. Specifically, we control for factors that previous researchers have argued were important: tax burdens, public infrastructure, size of private financial markets, rates of business failure, industry structure, climate, and knowledge stocks.

In 2024, the real growth rate of per capita disposable income of households in Beijing municipality in China amounted to *** percent compared to the previous year. Per capita disposable income in Beijing reached around ****** yuan that year.

Japan CCI: Nationwide: All Household: Income Growth data was reported at 41.400 NA in Nov 2018. This records an increase from the previous number of 41.300 NA for Oct 2018. Japan CCI: Nationwide: All Household: Income Growth data is updated monthly, averaging 40.750 NA from Apr 2004 (Median) to Nov 2018, with 176 observations. The data reached an all-time high of 46.600 NA in May 2006 and a record low of 32.000 NA in Dec 2008. Japan CCI: Nationwide: All Household: Income Growth data remains active status in CEIC and is reported by Economic and Social Research Institute. The data is categorized under Global Database’s Japan – Table JP.H072: Consumer Confidence Index.

The average annual earnings for women working full-time in the United Kingdom grew by approximately 4.9 percent in 2025, while for men it grew by 4.4 percent.

Graph and download economic data for Personal Income (PI) from Jan 1959 to Aug 2025 about headline figure, personal income, personal, income, and USA.

About this dataset

Context

The dataset illustrates the median household income in Stamford, spanning the years from 2010 to 2023, with all figures adjusted to 2023 inflation-adjusted dollars. Based on the latest 2019-2023 5-Year Estimates from the American Community Survey, it displays how income varied over the last decade. The dataset can be utilized to gain insights into median household income trends and explore income variations.

Key observations:

From 2010 to 2023, the median household income for Stamford increased by $1,290 (1.21%), as per the American Community Survey estimates. In comparison, median household income for the United States increased by $5,602 (7.68%) between 2010 and 2023.

Analyzing the trend in median household income between the years 2010 and 2023, spanning 13 annual cycles, we observed that median household income, when adjusted for 2023 inflation using the Consumer Price Index retroactive series (R-CPI-U-RS), experienced growth year by year for 8 years and declined for 5 years.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2022-inflation-adjusted dollars.

Years for which data is available:

• 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 0223

Variables / Data Columns

• Year: This column presents the data year from 2010 to 2023
• Median Household Income: Median household income, in 2023 inflation-adjusted dollars for the specific year
• YOY Change($): Change in median household income between the current and the previous year, in 2023 inflation-adjusted dollars
• YOY Change(%): Percent change in median household income between current and the previous year

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 Stamford median household income. You can refer the same here

Wages in Poland increased 6.60 percent in October of 2025 over the same month in the previous year. This dataset provides - Poland Wage Growth- actual values, historical data, forecast, chart, statistics, economic calendar and news.

Technical change that extends market scale can generate winner-take-all dynamics, with large income growth among top earners. I test this ``superstar model'' in the entertainer labor market, where the historic rollout of television creates a natural experiment in scale-related technological change. The resulting inequality changes are consistent with superstar theory: the launch of a local TV station skews the entertainer wage distribution sharply to the right, with the biggest impact at the very top of the distribution, while negatively impacting workers below the star level. The findings provide evidence of superstar effects and distinguish such effects from popular alternative models.

Real household disposable income per person in the United Kingdom is expected to grow by 2.6 percent in 2024/25, with disposable income growth slowing from that point onwards. In 2022/23, disposable income fell by two percent, after falling by 0.1 percent in 2021/22, and 0.3 percent in 2020/21.

Colombia CO: Survey Mean Consumption or Income per Capita: Bottom 40% of Population: Annualized Average Growth Rate data was reported at -2.590 % in 2021. Colombia CO: Survey Mean Consumption or Income per Capita: Bottom 40% of Population: Annualized Average Growth Rate data is updated yearly, averaging -2.590 % from Dec 2021 (Median) to 2021, with 1 observations. The data reached an all-time high of -2.590 % in 2021 and a record low of -2.590 % in 2021. Colombia CO: Survey Mean Consumption or Income per Capita: Bottom 40% of Population: Annualized Average Growth Rate data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Colombia – Table CO.World Bank.WDI: Social: Poverty and Inequality. The growth rate in the welfare aggregate of the bottom 40% is computed as the annualized average growth rate in per capita real consumption or income of the bottom 40% of the population in the income distribution in a country from household surveys over a roughly 5-year period. Mean per capita real consumption or income is measured at 2017 Purchasing Power Parity (PPP) using the Poverty and Inequality Platform (http://www.pip.worldbank.org). For some countries means are not reported due to grouped and/or confidential data. The annualized growth rate is computed as (Mean in final year/Mean in initial year)^(1/(Final year - Initial year)) - 1. The reference year is the year in which the underlying household survey data was collected. In cases for which the data collection period bridged two calendar years, the first year in which data were collected is reported. The initial year refers to the nearest survey collected 5 years before the most recent survey available, only surveys collected between 3 and 7 years before the most recent survey are considered. The coverage and quality of the 2017 PPP price data for Iraq and most other North African and Middle Eastern countries were hindered by the exceptional period of instability they faced at the time of the 2017 exercise of the International Comparison Program. See the Poverty and Inequality Platform for detailed explanations.;World Bank, Global Database of Shared Prosperity (GDSP) (http://www.worldbank.org/en/topic/poverty/brief/global-database-of-shared-prosperity).;;The comparability of welfare aggregates (consumption or income) for the chosen years T0 and T1 is assessed for every country. If comparability across the two surveys is a major concern for a country, the selection criteria are re-applied to select the next best survey year(s). Annualized growth rates are calculated between the survey years, using a compound growth formula. The survey years defining the period for which growth rates are calculated and the type of welfare aggregate used to calculate the growth rates are noted in the footnotes.

United States SCE: Household Income Growth Expectation: 1 Year Ahead: Median Point Prediction data was reported at 2.606 % in Apr 2025. This records a decrease from the previous number of 2.797 % for Mar 2025. United States SCE: Household Income Growth Expectation: 1 Year Ahead: Median Point Prediction data is updated monthly, averaging 2.818 % from Jun 2013 (Median) to Apr 2025, with 143 observations. The data reached an all-time high of 4.578 % in Dec 2022 and a record low of 1.867 % in Apr 2020. United States SCE: Household Income Growth Expectation: 1 Year Ahead: Median Point Prediction data remains active status in CEIC and is reported by Federal Reserve Bank of New York. The data is categorized under Global Database’s United States – Table US.H083: Survey of Consumer Expectations: Household Income and Spending.

We analyze how median real incomes in the United States have changed since 1980 under a definition of the middle class that adjusts for changes in demographics. We find that failing to adjust for demographic shifts in the population relating to age, race, and education can indicate a more positive outlook than is truly the case. We also find that the real median incomes of today’s middle class are somewhat higher than they used to be, particularly for households headed by two adults. We find, as in prior research, that prices for housing, healthcare, and education have risen more than middle-class incomes, while prices for transportation, food, and recreation have risen less than middle-class incomes.

About this dataset

Context

The dataset illustrates the median household income in Los Angeles County, spanning the years from 2010 to 2023, with all figures adjusted to 2023 inflation-adjusted dollars. Based on the latest 2019-2023 5-Year Estimates from the American Community Survey, it displays how income varied over the last decade. The dataset can be utilized to gain insights into median household income trends and explore income variations.

Key observations:

From 2010 to 2023, the median household income for Los Angeles County increased by $9,819 (12.60%), as per the American Community Survey estimates. In comparison, median household income for the United States increased by $5,602 (7.68%) between 2010 and 2023.

Analyzing the trend in median household income between the years 2010 and 2023, spanning 13 annual cycles, we observed that median household income, when adjusted for 2023 inflation using the Consumer Price Index retroactive series (R-CPI-U-RS), experienced growth year by year for 9 years and declined for 4 years.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2022-inflation-adjusted dollars.

Years for which data is available:

• 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 0223

Variables / Data Columns

• Year: This column presents the data year from 2010 to 2023
• Median Household Income: Median household income, in 2023 inflation-adjusted dollars for the specific year
• YOY Change($): Change in median household income between the current and the previous year, in 2023 inflation-adjusted dollars
• YOY Change(%): Percent change in median household income between current and the previous year

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 Los Angeles County median household income. You can refer the same here