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.

In France, in 2025, a person who earned less than ****** euros net yearly was exempted from income tax. On the other hand, a person who earned between ****** and ****** euros would be taxed at a 30 percent rate.

The Corporate Tax Rate in France stands at 25 percent. This dataset provides the latest reported value for - France Corporate Tax Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Denmark is the European country with the highest top statutory income tax rate as of 2025, with the Nordic country having a top taxation band of **** percent. Other countries with high taxes on top earners included France, with a top rate of **** percent, Austria, with a top rate of ** percent, and Spain, with a top rate of ** percent. Many countries in Europe have relatively high top income tax rates when compared with other regions globally, as these countries have relatively generous social systems funded by tax incomes. This is particularly the case in Western, Northern, and Central Europe, where the social state is generally stronger. On the other hand, formerly communist countries in the Central and Eastern Europe (CEE) region tend to have lower top income tax rates, with Romania and Bulgaria having the lowest rates in Europe in 2024, with their top income tax brackets both being only ** percent. These countries often have less well-developed social systems, as well as the fact that they must compete to retain their workers against other European countries with higher average wages. In spite of low-income taxes, these countries may take other deductions from employee's wages such as pension and healthcare payments, which may not be included in income taxation as in other European countries.

France FR: Total Tax Rate: % of Profit data was reported at 62.200 % in 2017. This records a decrease from the previous number of 64.000 % for 2016. France FR: Total Tax Rate: % of Profit data is updated yearly, averaging 67.900 % from Dec 2005 (Median) to 2017, with 13 observations. The data reached an all-time high of 72.600 % in 2006 and a record low of 61.900 % in 2015. France FR: Total Tax Rate: % of Profit 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: Company Statistics. Total tax rate measures the amount of taxes and mandatory contributions payable by businesses after accounting for allowable deductions and exemptions as a share of commercial profits. Taxes withheld (such as personal income tax) or collected and remitted to tax authorities (such as value added taxes, sales taxes or goods and service taxes) are excluded.; ; World Bank, Doing Business project (http://www.doingbusiness.org/).; Unweighted average; Data are presented for the survey year instead of publication year.

France: Income, profits, and capital gains taxes: percent of revenue: The latest value from 2023 is 29.34 percent, a decline from 29.75 percent in 2022. In comparison, the world average is 25.45 percent, based on data from 85 countries. Historically, the average for France from 1972 to 2023 is 21.36 percent. The minimum value, 15.93 percent, was reached in 1995 while the maximum of 29.75 percent was recorded in 2022.

Since 2012, the tax revenue in France has been increasing. Tax revenue in France comes from various types of tax. Income tax, corporate tax, and VAT represent most of the French state’s revenue. In 2021, the total public revenue in France reached ***** billion euros. Value-Added Tax, main revenue of the French government It appears that the amount of the revenue of the VAT in France has increased from 2012 to 2018. That year, the revenue of the Value-Added Tax reached *** billion euros, compared to *** billion in 2016. In 2021, the VAT represented a third of the tax revenues collected by the State in France. However, other types of taxes in France have also increased, like the income tax, which went from ** billion euros in 2012, up to ** billion in 2024. A State in debt France is considered to be one of the leading countries in Europe, but the nation has also one of the highest debt levels in the European Union. In 2017, a Eurostat survey displayed that France had a deficit and public debt amounting to **** percent of the national GDP. In 2021, the government revenue reached **** trillion euro, whereas its spending came to around **** trillion euros. This difference between France’s income and spending causes difficulties for the country’s economy. The budget balance of the state keeps being negative, while the cost of interest on the debt of France came in at over ** billion euros in 2017.

France: Indirect tax rate: The latest value from is percent, unavailable from percent in . In comparison, the world average is 0 percent, based on data from countries. Historically, the average for France from to is 20 percent. The minimum value, 19.6 percent, was reached in 2006 while the maximum of 20 percent was recorded in 2014.

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

France FR: Time to Prepare and Pay Taxes data was reported at 139.000 Hour in 2017. This stayed constant from the previous number of 139.000 Hour for 2016. France FR: Time to Prepare and Pay Taxes data is updated yearly, averaging 132.000 Hour from Dec 2005 (Median) to 2017, with 13 observations. The data reached an all-time high of 139.000 Hour in 2017 and a record low of 132.000 Hour in 2012. France FR: Time to Prepare and Pay Taxes 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: Company Statistics. Time to prepare and pay taxes is the time, in hours per year, it takes to prepare, file, and pay (or withhold) three major types of taxes: the corporate income tax, the value added or sales tax, and labor taxes, including payroll taxes and social security contributions.; ; World Bank, Doing Business project (http://www.doingbusiness.org/).; Unweighted average; Data are presented for the survey year instead of publication year.

Portugal had the highest combined corporate income tax rate in 2023, reaching 31.5 percent, and was followed by Germany with a rate of 29.94 percent. On the other hand, Hungary had the lowest combined corporate income tax rate, reaching just nine percent in 2023.

France: Taxes on goods and services, percent of total revenue: The latest value from 2023 is 19.13 percent, a decline from 19.95 percent in 2022. In comparison, the world average is 32.78 percent, based on data from 88 countries. Historically, the average for France from 1972 to 2023 is 26.82 percent. The minimum value, 19.13 percent, was reached in 2023 while the maximum of 38.83 percent was recorded in 1972.

When analyzing the historical PIT rates, it should be noted that in 2000 the average rate was almost 45%. The highest income tax (approx. 60%) was imposed in Belgium, Denmark, as well as in the Netherlands and France. On the other hand, the lowest (25%) rates were recorded in Estonia and Latvia, which were not yet members of the European Union. In the following years, most EU countries rather lowered PIT rates, and the average of this tax in EU countries is 38.6%. The most significant reductions were introduced by Bulgaria, Lithuania, Romania and also Hungary. The PIT tax burden differs significantly in the EU countries, as some countries have relatively low rates, but in Denmark, Portugal and Sweden, the PIT tax exceeds 50%.

Here is an image of the global municipal tax (founcier bati + habitation). Average tax per asset Nancy 2014

To do it again you will need: — QGIS software (Free: https://www.qgis.org/fr/site/forusers/download.html), — a qgs file of your department (http://www.actualitix.com/shapefiles-des-departements-de-france.html) — an export of tax rates (https://www.data.gouv.fr/fr/datasets/impots-locaux/ > Municipal and intercommunal data > Your Department > Local Direct Tax Data 2014 (XLS format)) — data (most days of INSEE here 2012 http://www.insee.fr/fr/themes/detail.asp?reg_id=99&ref_id=base-cc-emploi-pop-active-2012)

Operating Mode: — process your data in your favorite spreadsheet (Excel or OpenOffice Calc) by integrating impot data, and INSEE to pull out the numbers that seem revealing to you — Install QGIS — Open the.qgs of your department

Add columns — Right click property on the main layer — Go to the field menu (on the left) — Add (via pencil) the desired columns (here average housing tax per asset, average property tax per asset, and the sum of both) — These are reals of precision 2, and length 6 — Register

Insert data: — Right-click on the “Open attribute table” layer — Select all — Copy — Paste in excel (or openOffice calcs) — Put the ad hoc formulas in excel (SOMME.SI.ENS to recover the rate) — Save the desired tab in CSV DOS with the new values — In QGIS > Menu > Layer > Add a delimited layer of text — Import the CSV

Present the data: — To simplify I advise you to make a layer by rate, and layers sums. So rots you in three clicks out the image of the desired rate — For each layer (or rate) — Right click properties on the csv layer — Labels to add city name and desired rate — Style for fct coloring of a csv field

Print the data in pdf: — To print, you need to define a print template — In the menu choose new printing dialer — choose the format (a department in A0 is rather readable) — Add vas legend, scale, and other — Print and here...

NB: this method creates aberrations: — in the case where the INSEE does not have a number or numbers that have moved a lot since — it is assumed that only assets pay taxes (which is more fair, but not 100 %)

Between 2006 and 2023, the average monthly income per tax household in the City of Marseille, located in the south of France, as well as in the rest of France, has increased. It amounted to ***** euros in 2006 and had reached ***** euros in 2023. Over this period, the average monthly income of Marseille residents was lower than that of the rest of the French population; however, the gap between the regions was shortened.

We compile raw data from the Datastream database for all stocks traded on the Spanish equity market. Particularly, we compile the following data series: (i) total return index (RI series), (ii) market value (MV series), (iii) market-to-book equity (PTBV series), (iv) total assets (WC02999 series), (v) return on equity (WC08301 series), (vi) dividend yield (DY series), (vii) price-to-earnings ratio (PE series), and (viii) effective tax rate (WC08346 series). We use the filters suggested by Griffin, Kelly, and Nardari (2010) for the Datastream database to exclude assets other than ordinary shares from our sample. Hence, our sample comprises 443 companies, including all firms that started trading within the time interval under study, as well as those that were delisted. As a proxy for the risk-free rate, we use the three-month Treasury Bill rate for Spain, as provided by the OECD. Accordingly, the dataset comprises the following series:

1. Spain_9_Portfolios_SIZE_BEME: Monthly returns for 9 size-book-to-market equity portfolios, following the Fama and French (1993) methodology. (Raw data source: Datastream database)
2. Spain_9_Portfolios_DY_PE: Monthly returns for 9 dividend yield-price-to-earnings ratio, following the Fama and French (1993) methodology. (Raw data source: Datastream database)
3. Spain_9_Portfolios_SIZE_TR: Monthly returns for 9 size-effective tax rate portfolios, following the Fama and French (1993) methodology. (Raw data source: Datastream database)
4. Spain_FF_3_Factors: Monthly returns for the constituents of the three classic factors of Fama and French, following the Fama and French (1993) methodology. (Raw data source: Datastream database)
5. Spain_FF_5_Factors: Monthly returns for the constituents of the five factors of Fama and French, following the Fama and French (2015) methodology. (Raw data source: Datastream database)
6. Spain_RF: Three-month Treasury Bill rate for Spain. (Raw data source: OECD)
7. Spain_Avg_Tax_Rate: Value-weighted effective tax rate paid by companies traded in Spain. (Raw data source: Datastream database)

REFERENCES:

Fama, E. F. and French, K. R. (1993). Common risk factors in the returns on stocks and bonds. Journal of Financial Economics, 33, 3–56. Fama, E. F. and French, K. R. (2015). A five-factor asset pricing model. Journal of Financial Economics, 116, 1–22. Griffin, J. M., Kelly, P., and Nardari, F. (2010). Do market efficiency measures yield correct inferences? A comparison of developed and emerging markets. Review of Financial Studies, 23, 3225–3277.

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

this project was realized in tableu :

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Governments around the world rely on tax revenues as a primary means to sustainably finance their operations, including providing infrastructure, public services, and paying for their employees. However, the extent to which countries collect taxes varies significantly, as illustrated by data from the United Nations showing government tax revenues as a share of gross domestic product (GDP).

In many European nations, tax revenues represent over a third of GDP, with countries like France and Denmark reaching levels as high as about half. These figures underscore the significant role of taxation in funding public expenditures in these countries.

Conversely, in most other parts of the world, tax revenues constitute a smaller portion of GDP. In some countries, taxes make up only a few percent of GDP, reflecting lower levels of government intervention in the economy or differing tax structures.

It's essential to recognize that variations in tax revenues are not solely attributable to differences in the capacity to collect taxes. While some variations may indeed reflect disparities in administrative capabilities or enforcement mechanisms, others stem from deliberate policy choices and political preferences regarding the level of taxation.

Moreover, reliance on alternative revenue sources, such as revenues from natural resources or foreign aid, can introduce volatility and uncertainty into a government's fiscal position. Therefore, the ability to effectively collect taxes remains crucial for ensuring stability and predictability in financing government activities.

Taxation also serves broader economic and social objectives beyond revenue generation. For instance, progressive taxation can contribute to reducing income inequality by redistributing wealth and funding social welfare programs. Conversely, lower tax rates may stimulate economic growth by incentivizing investment and consumption.

However, the optimal level and structure of taxation are subjects of ongoing debate and vary depending on economic conditions, societal preferences, and political ideologies. Governments must strike a balance between raising sufficient revenue to finance public expenditures and minimizing distortions and inefficiencies caused by taxation.

Furthermore, tax policies should be designed with consideration for their potential impact on economic behavior, investment decisions, and international competitiveness. International cooperation and coordination are also essential, particularly in addressing issues such as tax evasion, avoidance, and base erosion in an increasingly interconnected global economy.

In conclusion, while countries differ significantly in the extent to which they collect taxes, taxation remains a fundamental tool for financing government activities and achieving broader economic and social objectives. Effective tax policies must strike a balance between revenue generation, economic efficiency, equity, and international competitiveness to ensure sustainable fiscal outcomes and support inclusive growth and development.

This dataset contains an history of nearly all of the real estate transactions concerning a single house/apartment in France from 2014 to today. Some variables likely to have an impact on the price of real estate are also provided as time series: the households income levels per city, the average debt level of french peoples, the average amount of savings of french people, the interest rates of loans, the price of the rent per city, the number of housings and number of vacant housings per city.

This dataset is provided under a permissive licence, and is free to use for commercial applications. It has a vocation of helping research concerning the dynamics of real estate prices.

The dataset consists in extraction from several openly available datasets put together in a practical format: The DVF+ database of real estate transactions, the IRCOM dataset of household incomes and income taxes, average interest rates of real estate loans from the banque de france website, the LOVAC dataset of number of vacant and occupied housings per city,~~ the OECD dataset of financial assets per capita~~, the "carte des loyers" dataset of 2018 and 2022 which list the average price of the rent per square meter, the Indice de Référence des Loyers (IRL) time series which is an index defining the maximum rent increase that can be applied to an already rented housing and is calculated every 3 months as the inflation adjusted buying power of 100€ in 1998, the TEC00104 eurostat dataset of debt levels.

Between 2006 and 2020, the average monthly income per tax household in the region of Bretagne, located in northwestern France, as well as in the rest of the country, has increased. It amounted to 1.358 euros in 2005, and had reached 2,215 euros in 2020. Over this period, the average monthly income of Bretagne residents was lower than that of the rest of the French population, and the gap has even widened overall.