France - Inequality of income distribution was 4.66 in December of 2024, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for France - Inequality of income distribution - last updated from the EUROSTAT on December of 2025. Historically, France - Inequality of income distribution reached a record high of 4.66 in December of 2024 and a record low of 4.23 in December of 2018.

France - Income inequality for older people was 3.65 in December of 2024, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for France - Income inequality for older people - last updated from the EUROSTAT on November of 2025. Historically, France - Income inequality for older people reached a record high of 4.60 in December of 2012 and a record low of 3.40 in December of 2021.

Historical dataset showing France income inequality - gini coefficient by year from N/A to N/A.

This statistic shows information on the income distribution in France as of 2012, broken down by quintiles. That year, the income share held by the third ** percent in France was ***** percent. The highest ** percent held over ** percent of all income in France.

In France in 2018, when comparing the monthly income of two men or two women with similar migratory ancestry but coming from different social backgrounds, the income gap was on average ***** euros. In comparison, the gender pay gap between individuals with similar social and migratory backgrounds was on average *** euros.

France - Income inequality for older people: Females was 3.58 in December of 2024, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for France - Income inequality for older people: Females - last updated from the EUROSTAT on December of 2025. Historically, France - Income inequality for older people: Females reached a record high of 4.56 in December of 2016 and a record low of 3.34 in December of 2021.

Historical dataset showing St. Martin (French part) income inequality - gini coefficient by year from N/A to N/A.

About this dataset

Context

The dataset presents the mean household income for each of the five quintiles in French 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 19,864, while the mean income for the highest quintile (20% of households with the highest income) is 280,699. This indicates that the top earners earn 14 times compared to the lowest earners.
• *Top 5%: * The mean household income for the wealthiest population (top 5%) is 513,594, which is 182.97% higher compared to the highest quintile, and 2585.55% higher compared to the lowest quintile.

https://i.neilsberg.com/ch/french-township-mn-mean-household-income-by-quintiles.jpeg" alt="Mean household income by quintiles in French Township, Minnesota (in 2022 inflation-adjusted dollars))">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 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 2022 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 French township median household income. You can refer the same here

France - Income distribution was 4.66 in December of 2024, according to the EUROSTAT. The income distribution ratio considers the total income received by the 20 % of the population with the highest income to that received by the 20 % of the population with the lowest income.

In France, in 2022, the average annual wage income after social contributions for men was around ****** euros, while for women it was around ****** euros. By comparison, 20 years ago, in 2000, the average wage income for men was ****** euros, while women received around ****** euros.

Historical dataset showing French Polynesia income inequality - gini coefficient by year from N/A to N/A.

About this dataset

Context

The dataset presents median income data over a decade or more for males and females categorized by Total, Full-Time Year-Round (FT), and Part-Time (PT) employment in French Settlement. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time and part-time work. The dataset can be utilized to gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals.

Key observations: Insights from 2023

Based on our analysis ACS 2019-2023 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In French Settlement, the median income for all workers aged 15 years and older, regardless of work hours, was $50,000 for males and $33,750 for females.

These income figures highlight a substantial gender-based income gap in French Settlement. Women, regardless of work hours, earn 68 cents for each dollar earned by men. This significant gender pay gap, approximately 32%, underscores concerning gender-based income inequality in the village of French Settlement.

- Full-time workers, aged 15 years and older: In French Settlement, among full-time, year-round workers aged 15 years and older, males earned a median income of $65,972, while females earned $61,250, resulting in a 7% gender pay gap among full-time workers. This illustrates that women earn 93 cents for each dollar earned by men in full-time positions. While this gap shows a trend where women are inching closer to wage parity with men, it also exhibits a noticeable income difference for women working full-time in the village of French Settlement.

Interestingly, when analyzing income across all roles, including non-full-time employment, the gender pay gap percentage was higher for women compared to men. It appears that full-time employment presents a more favorable income scenario for women compared to other employment patterns in French Settlement.

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 2023-inflation-adjusted dollars.

Gender classifications include:

• Male
• Female

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

Variables / Data Columns

• Year: This column presents the data year. Expected values are 2010 to 2023
• Male Total Income: Annual median income, for males regardless of work hours
• Male FT Income: Annual median income, for males working full time, year-round
• Male PT Income: Annual median income, for males working part time
• Female Total Income: Annual median income, for females regardless of work hours
• Female FT Income: Annual median income, for females working full time, year-round
• Female PT Income: Annual median income, for females working part time

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 French Settlement median household income by race. You can refer the same here

France FR: Gini Coefficient (GINI Index): World Bank Estimate data was reported at 32.700 % in 2015. This records an increase from the previous number of 32.300 % for 2014. France FR: Gini Coefficient (GINI Index): World Bank Estimate data is updated yearly, averaging 32.500 % from Dec 2003 (Median) to 2015, with 13 observations. The data reached an all-time high of 33.700 % in 2010 and a record low of 29.700 % in 2006. France FR: Gini Coefficient (GINI Index): World Bank Estimate data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s France – Table FR.World Bank.WDI: Poverty. Gini index measures the extent to which the distribution of income (or, in some cases, consumption expenditure) among individuals or households within an economy deviates from a perfectly equal distribution. A Lorenz curve plots the cumulative percentages of total income received against the cumulative number of recipients, starting with the poorest individual or household. The Gini index measures the area between the Lorenz curve and a hypothetical line of absolute equality, expressed as a percentage of the maximum area under the line. Thus a Gini index of 0 represents perfect equality, while an index of 100 implies perfect inequality.; ; World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. For more information and methodology, please see PovcalNet (http://iresearch.worldbank.org/PovcalNet/index.htm).; ; The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from more than one thousand six hundred household surveys across 164 countries in six regions and 25 other high income countries (industrialized economies). While income distribution data are published for all countries with data available, poverty data are published for low- and middle-income countries and countries eligible to receive loans from the World Bank (such as Chile) and recently graduated countries (such as Estonia) only. See PovcalNet (http://iresearch.worldbank.org/PovcalNet/WhatIsNew.aspx) for definitions of geographical regions and industrialized countries.

French farmers are unequal in their ability to pay themselves an income depending on their sector of activity. In 2020, 29.1 percent of farmers working in the sheep and equine sector were either unable to earn an income or were in deficit.
Cattle farmers are somewhat more spared extreme poverty with a rate of 11.6 percent who cannot pay themselves a salary at the end of the month.

Estelle Sommeiller is a socio-economist at the Institute for Research in Economic and Social Sciences (IRES) in France. She holds a Ph.D. in economics, jointly awarded by the University of Delaware and the Université Lumière in Lyon, France. Her doctoral dissertation, "Regional Inequality in the United States, 1913-2003", analyses a set of panel data by state cross-sections and annually, using the Statistics of Income publications by the US Internal Revenue Service (IRS). Sommeiller's theoretical approach was inspired by the economist Thomas Piketty, who pointed out the strong heterogeneity of the top decile in his book "Les hauts revenus en France au XXème siècle. Inégalités et redistributions 1901-1998." and distinguished a certain number of intermediary revenues classes (the fractiles), until the highest 0.01. The same distinction was used by Sommelier, with the use of the desegregation by state as a difference. Two variables were extracted by the author from the publications of the IRS: the number of individual returns and the total income expressed in dollars. Both variables are ranked by size of income and by state. The database represents well the top 10 percent of the income distribution. Sommeiller's Ph.D. thesis covers the period from 1913 to 2003 with deflated measures, using the 2003 dollars value. For the purposes of the paper "The Increasingly Unequal States of America", Sommeiller updated the data by adding the 2004 to 2011 series and excluding the ones from 1913 to 1916. All the measures are expressed in 2011 current dollars. These are the data that we are disseminating here.

About this dataset

Context

The dataset presents median income data over a decade or more for males and females categorized by Total, Full-Time Year-Round (FT), and Part-Time (PT) employment in French Lick. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time and part-time work. The dataset can be utilized to gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals.

Key observations: Insights from 2023

Based on our analysis ACS 2019-2023 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In French Lick, the median income for all workers aged 15 years and older, regardless of work hours, was $40,327 for males and $25,147 for females.

These income figures highlight a substantial gender-based income gap in French Lick. Women, regardless of work hours, earn 62 cents for each dollar earned by men. This significant gender pay gap, approximately 38%, underscores concerning gender-based income inequality in the town of French Lick.

- Full-time workers, aged 15 years and older: In French Lick, among full-time, year-round workers aged 15 years and older, males earned a median income of $54,476, while females earned $41,544, leading to a 24% gender pay gap among full-time workers. This illustrates that women earn 76 cents for each dollar earned by men in full-time roles. This analysis indicates a widening gender pay gap, showing a substantial income disparity where women, despite working full-time, face a more significant wage discrepancy compared to men in the same roles.

Surprisingly, the gender pay gap percentage was higher across all roles, including non-full-time employment, for women compared to men. This suggests that full-time employment offers a more equitable income scenario for women compared to other employment patterns in French Lick.

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 2023-inflation-adjusted dollars.

Gender classifications include:

• Male
• Female

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

Variables / Data Columns

• Year: This column presents the data year. Expected values are 2010 to 2023
• Male Total Income: Annual median income, for males regardless of work hours
• Male FT Income: Annual median income, for males working full time, year-round
• Male PT Income: Annual median income, for males working part time
• Female Total Income: Annual median income, for females regardless of work hours
• Female FT Income: Annual median income, for females working full time, year-round
• Female PT Income: Annual median income, for females working part time

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 French Lick median household income by race. You can refer the same here

In 2023 in France, the average net monthly full-time equivalent salary was ***** euros. That year, ** percent of the poorest French employees earned less than ***** euros per month. On the other hand, ** percent of the richest French employees received more than ***** euros. The French people who were part of the richest one percent of the working population earned a salary over ***** euros per month.

France FR: Poverty Headcount Ratio at National Poverty Lines: % of Population data was reported at 15.600 % in 2021. France FR: Poverty Headcount Ratio at National Poverty Lines: % of Population data is updated yearly, averaging 15.600 % from Dec 2021 (Median) to 2021, with 1 observations. The data reached an all-time high of 15.600 % in 2021 and a record low of 15.600 % in 2021. France FR: Poverty Headcount Ratio at National Poverty Lines: % of Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s France – Table FR.World Bank.WDI: Social: Poverty and Inequality. National poverty headcount ratio is the percentage of the population living below the national poverty line(s). National estimates are based on population-weighted subgroup estimates from household surveys. For economies for which the data are from EU-SILC, the reported year is the income reference year, which is the year before the survey year.;World Bank, Poverty and Inequality Platform. Data are compiled from official government sources or are computed by World Bank staff using national (i.e. country–specific) poverty lines.;;This series only includes estimates that to the best of our knowledge are reasonably comparable over time for a country. Due to differences in estimation methodologies and poverty lines, estimates should not be compared across countries.

France FR: Multidimensional Poverty Headcount Ratio: % of total population data was reported at 19.300 % in 2021. This records an increase from the previous number of 18.200 % for 2020. France FR: Multidimensional Poverty Headcount Ratio: % of total population data is updated yearly, averaging 18.200 % from Dec 2010 (Median) to 2021, with 12 observations. The data reached an all-time high of 19.300 % in 2021 and a record low of 17.000 % in 2017. France FR: Multidimensional Poverty Headcount Ratio: % of total population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s France – Table FR.World Bank.WDI: Social: Poverty and Inequality. ;Government statistical agencies. Data for EU countires are from the EUROSTAT;;

About this dataset

Context

The dataset presents the mean household income for each of the five quintiles in French Settlement, LA, 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 16,441, while the mean income for the highest quintile (20% of households with the highest income) is 221,334. This indicates that the top earners earn 13 times compared to the lowest earners.
• *Top 5%: * The mean household income for the wealthiest population (top 5%) is 360,036, which is 162.67% higher compared to the highest quintile, and 2189.87% higher compared to the lowest quintile.

https://i.neilsberg.com/ch/french-settlement-la-mean-household-income-by-quintiles.jpeg" alt="Mean household income by quintiles in French Settlement, LA (in 2022 inflation-adjusted dollars))">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 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 2022 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 French Settlement median household income. You can refer the same here