This graph shows the average annual salary income after social contributions in France in 2021, by age group, in current euros. It shows that employees aged 50 to 54 had an average annual income of about ****** euros, whereas persons under 25 earned roughly ***** euros.

Wages in France increased to 3613 EUR/Month in 2023 from 3466 EUR/Month in 2022. This dataset provides the latest reported value for - France Average Nominal Monthly Wages - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

This statistic highlights the average net monthly salary of French employees in the private sector in 2022, by socio-professional category and by gender. In 2022, a male manager earned on average 4,770 euros per month, while a female executive earned on average around 4,020 euros per month.

Since 2000, the average annual wages in France have been increasing. In 2000, the average annual wages in France amounted to 25,606 euros. Since then the average wage in France has been increasing, despite a slight decrease between 2019 and 2020. While the average annual wages were 32,409 euros in 2008, they reached 43,592 euros in 2023.

Wages in France increased 2.10 percent in March of 2025 over the same month in the previous year. This dataset provides - France Monthly Wages Growth- actual values, historical data, forecast, chart, statistics, economic calendar and news.

Key information about France Household Income per Capita

• France Annual Household Income per Capita reached 28,072.224 USD in Dec 2023, compared with the previous value of 25,380.026 USD in Dec 2022.
• France Annual Household Income per Capita data is updated yearly, available from Dec 1957 to Dec 2023, with an averaged value of 13,145.742 USD.
• The data reached an all-time high of 28,072.224 USD in Dec 2023 and a record low of 785.864 USD in Dec 1959.
• In the latest reports, Retail Sales of France grew 1.593 % YoY in Dec 2024.

CEIC calculates Annual Household Income per Capita from quarterly Household Income and annual Average Population and converts it into USD. The National Institute of Statistics and Economic Studies provides Household Income in EUR and Average Population. Federal Reserve Board average market exchange rate is used for currency conversions. Household Income covers Household Disposable Income only. Seasonally adjusted Household Income is used since non-seasonally adjusted data is unavailable from the source.

Explore the progression of average salaries for graduates in English And French Studies from 2020 to 2023 through this detailed chart. It compares these figures against the national average for all graduates, offering a comprehensive look at the earning potential of English And French Studies relative to other fields. This data is essential for students assessing the return on investment of their education in English And French Studies, providing a clear picture of financial prospects post-graduation.

In the first quarter of 2025, wages in France grew by approximately *** percent, while in real terms they increased by *** percent after adjusting for inflation. The last significant real wage growth occurred in the third quarter of 2024, when wages rose by *** percent nominally and *** percent in real terms. During the second quarter of 2020, there was a notable spike in wage growth, with real wages increasing by *** percent, likely a result of the economic disruptions caused by the COVID-19 pandemic.

In 2021, the average net salary in France in the private sector was ***** euros per month, but there are significant disparities between the different sectors of activity. The mixed services professions were the best paid, with an average net salary of ***** euros per month.

Wages in Manufacturing in France increased to 121.70 points in the first quarter of 2025 from 120.90 points in the fourth quarter of 2024. This dataset provides the latest reported value for - France Hourly Wages in Industry Index - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Context

[INSEE][1] is the official french institute gathering data of many types around France. It can be demographic (Births, Deaths, Population Density...), Economic (Salary, Firms by activity / size...) and more.
It can be a great help to observe and measure inequality in the french population.

Content

Four files are in the dataset :

• base_etablissement_par_tranche_effectif : give information on the number of firms in every french town, categorized by size , come from [INSEE][2].
  • CODGEO : geographique code for the town (can be joined with code_insee column from "name_geographic_information.csv')
  • LIBGEO : name of the town (in french)
  • REG : region number
  • DEP : depatment number
  • E14TST : total number of firms in the town
  • E14TS0ND : number of unknown or null size firms in the town
  • E14TS1 : number of firms with 1 to 5 employees in the town
  • E14TS6 : number of firms with 6 to 9 employees in the town
  • E14TS10 : number of firms with 10 to 19 employees in the town
  • E14TS20 : number of firms with 20 to 49 employees in the town
  • E14TS50 : number of firms with 50 to 99 employees in the town
  • E14TS100 : number of firms with 100 to 199 employees in the town
  • E14TS200 : number of firms with 200 to 499 employees in the town
  • E14TS500 : number of firms with more than 500 employees in the town

• name_geographic_information : give geographic data on french town (mainly latitude and longitude, but also region / department codes and names )

  • EU_circo : name of the European Union Circonscription
  • code_région : code of the region attached to the town
  • nom_région : name of the region attached to the town
  • chef.lieu_région : name the administrative center around the town
  • numéro_département : code of the department attached to the town
  • nom_département : name of the department attached to the town
  • préfecture : name of the local administrative division around the town
  • numéro_circonscription : number of the circumpscription
  • nom_commune : name of the town
  • codes_postaux : post-codes relative to the town
  • code_insee : unique code for the town
  • latitude : GPS latitude
  • longitude : GPS longitude
  • éloignement : i couldn't manage to figure out what was the meaning of this number

• net_salary_per_town_per_category : salaries around french town per job categories, age and sex

  • CODGEO : unique code of the town
  • LIBGEO : name of the town
  • SNHM14 : mean net salary
  • SNHMC14 : mean net salary per hour for executive
  • SNHMP14 : mean net salary per hour for middle manager
  • SNHME14 : mean net salary per hour for employee
  • SNHMO14 : mean net salary per hour for worker
  • SNHMF14 : mean net salary for women
  • SNHMFC14 : mean net salary per hour for feminin executive
  • SNHMFP14 : mean net salary per hour for feminin middle manager
  • SNHMFE14 : mean net salary per hour for feminin employee
  • SNHMFO14 : mean net salary per hour for feminin worker
  • SNHMH14 : mean net salary for man
  • SNHMHC14 : mean net salary per hour for masculin executive
  • SNHMHP14 : mean net salary per hour for masculin middle manager
  • SNHMHE14 : mean net salary per hour for masculin employee
  • SNHMHO14 : mean net salary per hour for masculin worker
  • SNHM1814 : mean net salary per hour for 18-25 years old
  • SNHM2614 : mean net salary per hour for 26-50 years old
  • SNHM5014 : mean net salary per hour for >50 years old
  • SNHMF1814 : mean net salary per hour for women between 18-25 years old
  • SNHMF2614 : mean net salary per hour for women between 26-50 years old
  • SNHMF5014 : mean net salary per hour for women >50 years old
  • SNHMH1814 : mean net salary per hour for men between 18-25 years old
  • SNHMH2614 : mean net salary per hour for men between 26-50 years old
  • SNHMH5014 : mean net salary per hour for men >50 years old

• population : [demographic][3] information in France per town, age, sex and living mode

  • NIVGEO : geographic level (arrondissement, communes...)
  • CODGEO : unique code for the town
  • LIBGEO : name of the town (might contain some utf-8 errors, this information has better quality name_geographic_information)
  • MOCO : cohabitation mode : [list and meaning available in Data description]
  • AGE80_17 : age category (slice of 5 years) | ex : 0 -> people between 0 and 4 years old
  • SEXE : sex, 1 for men | 2 for women
  • NB : Number of people in the category

• departments.geojson : contains the borders of french departments. From [Gregoire David (github)][4]

These datasets can be merged by : CODGEO = code_insee

Acknowledgements

The entire dataset has been created (and actualized) by INSEE, I just uploaded it on Kaggle after doing some jobs and checks ...

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.

About this dataset

Context

The dataset presents the median household income across different racial categories in French Lick. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to gain insights into economic disparities and trends and explore the variations in median houshold income for diverse racial categories.

Key observations

Based on our analysis of the distribution of French Lick population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 80.91% of the total residents in French Lick. Notably, the median household income for White households is $49,722. Interestingly, despite the White population being the most populous, it is worth noting that Black or African American households actually reports the highest median household income, with a median income of $124,643. This reveals that, while Whites may be the most numerous in French Lick, Black or African American households experience greater economic prosperity in terms of median household income.

https://i.neilsberg.com/ch/french-lick-in-median-household-income-by-race.jpeg" alt="French Lick median household income diversity across racial categories">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in French Lick.
• Median household income: Median household income, adjusting for inflation, presented in 2022-inflation-adjusted dollars

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

Demographics data France 2023 at municipality level - 24+ attributes, including total population, population 15+, population 15-64, employment, average income.

The Personal Income Tax Rate in France stands at 45 percent. This dataset provides the latest reported value for - France Personal Income Tax Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

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

In France, in 2022, the average net monthly income of people living in the Île-de-France region was around ***** euros. In comparison, men living in this same region earned almost ***** euros per month, while women received around ***** euros. Overall, French people living in the region around Paris were the richest, meanwhile the population living on La Réunion island was the poorest, with an average net monthly income of ***** euros.

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 Camp. 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 Camp, while the Census reported a median income of $45,804 for all male workers aged 15 years and older, data for females in the same category was unavailable due to an insufficient number of sample observations.

Given the absence of income data for females from the Census Bureau, conducting a thorough analysis of gender-based pay disparity in the town of French Camp was not possible.

- Full-time workers, aged 15 years and older: In French Camp, among full-time, year-round workers aged 15 years and older, males earned a median income of $64,375, while females earned $47,614, leading to a 26% gender pay gap among full-time workers. This illustrates that women earn 74 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.

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

In 2022 in Marseille, a city located in southeastern France, the average hourly wage for men aged between 26 and 50 was 16.7 euros, while that of women of the same age was 15.3. This gap was even greater among people aged over 50: women of that age earned an average of slightly more than 17 euros per hour, while their male counterparts earned almost 2.5 euros more. The difference in wages between the two genders was less important among younger people.

Explore the progression of average salaries for graduates in French And Francophones Studies from 2020 to 2023 through this detailed chart. It compares these figures against the national average for all graduates, offering a comprehensive look at the earning potential of French And Francophones Studies relative to other fields. This data is essential for students assessing the return on investment of their education in French And Francophones Studies, providing a clear picture of financial prospects post-graduation.