The direct contribution of travel and tourism to Paris's gross domestic product (GDP) declined sharply with the onset of the coronavirus (COVID-19) pandemic compared to 2019. While these industries' direct contribution to GDP in the French capital surpassed 32 billion euros in 2019, it declined to under 25 billion euros in 2021. As forecast, this figure is expected to increase to an estimated 30.3 billion euros in 2022, remaining six percent lower than in 2019.

The Gross Domestic Product (GDP) in France was worth 3051.83 billion US dollars in 2023, according to official data from the World Bank. The GDP value of France represents 2.89 percent of the world economy. This dataset provides the latest reported value for - France GDP - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

The city of Paris in France had an estimated gross domestic product of 757.6 billion Euros in 2021, the most of any European city. Paris was followed by the spanish capital, Madrid, which had a GDP of 237.5 billion Euros, and the Irish capital, Dublin at 230 billion Euros. Milan, in the prosperous north of Italy, had a GDP of 228.4 billion Euros, 65 billion euros larger than the Italian capital Rome, and was the largest non-capital city in terms of GDP in Europe. The engine of Europe Among European countries, Germany had by far the largest economy, with a gross domestic product of over 4.18 trillion Euros. The United Kingdom or France have been Europe's second largest economy since the 1980s, depending on the year, with forecasts suggesting France will overtake the UK going into the 2020s. Germany however, has been the biggest European economy for some time, with five cities (Munich, Berlin, Hamburg, Stuttgart and Frankfurt) among the 15 largest European cities by GDP. Europe's largest cities In 2023, Moscow was the largest european city, with a population of nearly 12.7 million. Paris was the largest city in western Europe, with a population of over 11 million, while London was Europe's third-largest city at 9.6 million inhabitants.

The GDP per capita in France was the highest in the Ile-de-France region with more than ****** euros per inhabitant. The Hauts-de-France region was the Metropolitan region with the lowest GDP per capita, slightly more than ****** euros.

France GDP Nowcast: swda: YoY: Contribution: Equity Market: NYSE Euronext Paris: Index: CAC Next 20 data was reported at 0.000 % in 12 May 2025. This stayed constant from the previous number of 0.000 % for 05 May 2025. France GDP Nowcast: swda: YoY: Contribution: Equity Market: NYSE Euronext Paris: Index: CAC Next 20 data is updated weekly, averaging 0.000 % from Jan 2019 (Median) to 12 May 2025, with 332 observations. The data reached an all-time high of 0.000 % in 12 May 2025 and a record low of 0.000 % in 12 May 2025. France GDP Nowcast: swda: YoY: Contribution: Equity Market: NYSE Euronext Paris: Index: CAC Next 20 data remains active status in CEIC and is reported by CEIC Data. The data is categorized under Global Database’s France – Table FR.CEIC.NC: CEIC Nowcast: Gross Domestic Product (GDP).

France GDP Nowcast: swda: YoY: Contribution: Equity Market: NYSE Euronext Paris: Index: CAC Industrials data was reported at 4.961 % in 12 May 2025. This records a decrease from the previous number of 5.046 % for 05 May 2025. France GDP Nowcast: swda: YoY: Contribution: Equity Market: NYSE Euronext Paris: Index: CAC Industrials data is updated weekly, averaging 8.746 % from Jan 2019 (Median) to 12 May 2025, with 332 observations. The data reached an all-time high of 40.497 % in 18 Feb 2019 and a record low of 0.000 % in 17 Aug 2020. France GDP Nowcast: swda: YoY: Contribution: Equity Market: NYSE Euronext Paris: Index: CAC Industrials data remains active status in CEIC and is reported by CEIC Data. The data is categorized under Global Database’s France – Table FR.CEIC.NC: CEIC Nowcast: Gross Domestic Product (GDP).

In 2023, the total contribution of travel and tourism to France's gross domestic product (GDP) recovered from the impact of the COVID-19 pandemic, being roughly 4.3 percent higher than in 2019. Overall, the total contribution of these industries to France's GDP amounted to 246 billion euros in 2023. This figure was expected to reach an estimated 254.7 billion euros in 2024. The economic contribution of inbound tourism in France Both before and after the impact of the health crisis, France took the top spot in the ranking of countries with the highest number of inbound tourist arrivals worldwide. Overall, international tourism expenditure in France totaled nearly 67 billion euros in 2023, exceeding pre-pandemic levels. Inbound tourism in Paris Millions of travelers visit the French capital every year, attracted by its rich cultural heritage and renowned attractions, like the Louvre, the most visited museum worldwide. In 2023, the number of inbound tourist arrivals to Paris and the Île-de-France region showed strong signs of recovery from the impact of the pandemic, but remained around nine percent lower than in 2019.

This statistic shows the gross domestic product (GDP) in France from 1987 to 2024, with a projection up until 2030. GDP refers to the total market value of all goods and services that are produced within a country per year. It is an important indicator of the economic strength of a country. In 2024, the GDP in France was around 3.16 trillion U.S. dollars. Economy of France France is an economically developed nation and one of the members of the G7. France is also considered to be one of the leading countries in Europe, often seen as the second most important nation in the European Union behind Germany. France has a relatively high gross domestic product (GDP), being one of the top 10 countries with the largest GDP in the world in 2014. Despite this, the country is still ranked in the top 20 in regards to its public debt compared to its GDP in the same year. A high debt-to-GDP ratio demonstrates a country’s ability to produce and sell goods and services in order to be able to pay back its debts, however producing and selling these goods should not result in more debts. France’s national debt slightly increased year-over-year up until 2014, most notably between 2008 and 2009. Additionally, France reported a large trade deficit in 2012, a value almost 5 times larger compared to the previous year, indicating that the country is importing much more than it is exporting. This often leads to higher debts due to a need to borrow more money to produce goods.

France GDP Nowcast: swda: YoY: Contribution: Equity Market: NYSE Euronext Paris: Index: CAC Health Care data was reported at 2.224 % in 12 May 2025. This records an increase from the previous number of 2.165 % for 05 May 2025. France GDP Nowcast: swda: YoY: Contribution: Equity Market: NYSE Euronext Paris: Index: CAC Health Care data is updated weekly, averaging 2.054 % from Jan 2019 (Median) to 12 May 2025, with 332 observations. The data reached an all-time high of 3.310 % in 27 Jan 2025 and a record low of 0.000 % in 20 Sep 2021. France GDP Nowcast: swda: YoY: Contribution: Equity Market: NYSE Euronext Paris: Index: CAC Health Care data remains active status in CEIC and is reported by CEIC Data. The data is categorized under Global Database’s France – Table FR.CEIC.NC: CEIC Nowcast: Gross Domestic Product (GDP).

GDP Nowcast: swda: YoY: Contribution: Equity Market: NYSE Euronext Paris: Index: CAC Mid 60 data was reported at 0.066 % in 12 May 2025. This records a decrease from the previous number of 0.073 % for 05 May 2025. GDP Nowcast: swda: YoY: Contribution: Equity Market: NYSE Euronext Paris: Index: CAC Mid 60 data is updated weekly, averaging 0.000 % from Jan 2019 (Median) to 12 May 2025, with 332 observations. The data reached an all-time high of 3.136 % in 05 Dec 2022 and a record low of 0.000 % in 21 Apr 2025. GDP Nowcast: swda: YoY: Contribution: Equity Market: NYSE Euronext Paris: Index: CAC Mid 60 data remains active status in CEIC and is reported by CEIC Data. The data is categorized under Global Database’s France – Table FR.CEIC.NC: CEIC Nowcast: Gross Domestic Product (GDP).

Ordered Probit Estimation. Data refer to waves 1994–99, 1999–04, 2005–08. Dummy of the last quantile (the 5) is omitted. Reg.GDP is the per capita regional GDP in PPP, in 10K, 2005 USD. Standard errors are clustered at quantile level (in brackets); ***, ** , * .

France GDP Nowcast: swda: YoY: Contribution: Equity Market: NYSE Euronext Paris: Index: CAC Technology data was reported at 0.110 % in 12 May 2025. This records an increase from the previous number of 0.103 % for 05 May 2025. France GDP Nowcast: swda: YoY: Contribution: Equity Market: NYSE Euronext Paris: Index: CAC Technology data is updated weekly, averaging 0.090 % from Jan 2019 (Median) to 12 May 2025, with 332 observations. The data reached an all-time high of 4.299 % in 06 Jul 2020 and a record low of 0.000 % in 28 Apr 2025. France GDP Nowcast: swda: YoY: Contribution: Equity Market: NYSE Euronext Paris: Index: CAC Technology data remains active status in CEIC and is reported by CEIC Data. The data is categorized under Global Database’s France – Table FR.CEIC.NC: CEIC Nowcast: Gross Domestic Product (GDP).

This dataset contains estimates of the socioeconomic status (SES) position of each of 149 countries covering the period 1880-2010. Measures of SES, which are in decades, allow for a 130 year time-series analysis of the changing position of countries in the global status hierarchy. SES scores are the average of each country’s income and education ranking and are reported as percentile rankings ranging from 1-99. As such, they can be interpreted similarly to other percentile rankings, such has high school standardized test scores. If country A has an SES score of 55, for example, it indicates that 55 percent of the countries in this dataset have a lower average income and education ranking than country A. ISO alpha and numeric country codes are included to allow users to merge these data with other variables, such as those found in the World Bank’s World Development Indicators Database and the United Nations Common Database.

See here for a working example of how the data might be used to better understand how the world came to look the way it does, at least in terms of status position of countries.

VARIABLE DESCRIPTIONS:

unid: ISO numeric country code (used by the United Nations)

wbid: ISO alpha country code (used by the World Bank)

SES: Country socioeconomic status score (percentile) based on GDP per capita and educational attainment (n=174)

country: Short country name

year: Survey year

gdppc: GDP per capita: Single time-series (imputed)

yrseduc: Completed years of education in the adult (15+) population

region5: Five category regional coding schema

regionUN: United Nations regional coding schema

DATA SOURCES:

The dataset was compiled by Shawn Dorius (sdorius@iastate.edu) from a large number of data sources, listed below. GDP per Capita:

1. Maddison, Angus. 2004. 'The World Economy: Historical Statistics'. Organization for Economic Co-operation and Development: Paris. GDP & GDP per capita data in (1990 Geary-Khamis dollars, PPPs of currencies and average prices of commodities). Maddison data collected from: http://www.ggdc.net/MADDISON/Historical_Statistics/horizontal-file_02-2010.xls.

2. World Development Indicators Database Years of Education 1. Morrisson and Murtin.2009. 'The Century of Education'. Journal of Human Capital(3)1:1-42. Data downloaded from http://www.fabricemurtin.com/ 2. Cohen, Daniel & Marcelo Cohen. 2007. 'Growth and human capital: Good data, good results' Journal of economic growth 12(1):51-76. Data downloaded from http://soto.iae-csic.org/Data.htm

3. Barro, Robert and Jong-Wha Lee, 2013, "A New Data Set of Educational Attainment in the World, 1950-2010." Journal of Development Economics, vol 104, pp.184-198. Data downloaded from http://www.barrolee.com/

4. Maddison, Angus. 2004. 'The World Economy: Historical Statistics'. Organization for Economic Co-operation and Development: Paris. 13.

5. United Nations Population Division. 2009.

Chile is amongst the Latin American nations where climate change will have the most severe impact on the country's GDP. Under a Paris Agreement warming scenario – which means limitting the temperature rise to less than 1.5ºC above pre-industrial levels – Chile would suffer about eight percent loss of its GDP per capita, whereas under an extreme warming scenario this figure would go up to 27 percent. Meanwhile, the impact of climate change in Venezuela's GDP would result in a loss ranging between 2.7 and 16.2 percent, depending on the warming scenario.

France GDP Nowcast: swda: YoY: Contribution: Equity Market: NYSE Euronext Paris: Index: CAC Basic Materials data was reported at 2.873 % in 12 May 2025. This records a decrease from the previous number of 2.976 % for 05 May 2025. France GDP Nowcast: swda: YoY: Contribution: Equity Market: NYSE Euronext Paris: Index: CAC Basic Materials data is updated weekly, averaging 3.510 % from Jan 2019 (Median) to 12 May 2025, with 332 observations. The data reached an all-time high of 6.015 % in 23 Jan 2023 and a record low of 0.000 % in 17 Aug 2020. France GDP Nowcast: swda: YoY: Contribution: Equity Market: NYSE Euronext Paris: Index: CAC Basic Materials data remains active status in CEIC and is reported by CEIC Data. The data is categorized under Global Database’s France – Table FR.CEIC.NC: CEIC Nowcast: Gross Domestic Product (GDP).

This dataset include Paris 2024 Olympic medal table and some basic country characteristics like GDP, population and life expectancy. It may be used to analyse the relationship between the Olympic success and some country-level features.

Features description: - Country - country name - Country Code - 3 letter country code (ISO 3166-1 alpha-3) - Number of athletes - size of the Olympic team - Gold medals - Silver medals - Bronze medals - Total medals - GDP - Gross Domestic Product (current US$) - GDP per capita - Gross Domestic Product per capita (current US$) - Population - total population - Life expectancy - life expectancy at birth (years) - Democracy - Democracy Index (Economist Intelligence Unit) - Gender equality - Gender Inequality Index (United Nations Development Programme) - Continent - Female athletes % - share of female athletes in the Olympic team

Analysis of ‘Country Socioeconomic Status Scores: 1880-2010’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/sdorius/globses on 14 February 2022.

--- Dataset description provided by original source is as follows ---

This dataset contains estimates of the socioeconomic status (SES) position of each of 149 countries covering the period 1880-2010. Measures of SES, which are in decades, allow for a 130 year time-series analysis of the changing position of countries in the global status hierarchy. SES scores are the average of each country’s income and education ranking and are reported as percentile rankings ranging from 1-99. As such, they can be interpreted similarly to other percentile rankings, such has high school standardized test scores. If country A has an SES score of 55, for example, it indicates that 55 percent of the world’s people live in a country with a lower average income and education ranking than country A. ISO alpha and numeric country codes are included to allow users to merge these data with other variables, such as those found in the World Bank’s World Development Indicators Database and the United Nations Common Database.

See here for a working example of how the data might be used to better understand how the world came to look the way it does, at least in terms of status position of countries.

VARIABLE DESCRIPTIONS: UNID: ISO numeric country code (used by the United Nations) WBID: ISO alpha country code (used by the World Bank) SES: Socioeconomic status score (percentile) based on GDP per capita and educational attainment (n=174) country: Short country name year: Survey year SES: Socioeconomic status score (1-99) for each of 174 countries gdppc: GDP per capita: Single time-series (imputed) yrseduc: Completed years of education in the adult (15+) population popshare: Total population shares

DATA SOURCES: The dataset was compiled by Shawn Dorius (sdorius@iastate.edu) from a large number of data sources, listed below. GDP per Capita: 1. Maddison, Angus. 2004. 'The World Economy: Historical Statistics'. Organization for Economic Co-operation and Development: Paris. Maddison population data in 000s; GDP & GDP per capita data in (1990 Geary-Khamis dollars, PPPs of currencies and average prices of commodities). Maddison data collected from: http://www.ggdc.net/MADDISON/Historical_Statistics/horizontal-file_02-2010.xls. 2. World Development Indicators Database Years of Education 1. Morrisson and Murtin.2009. 'The Century of Education'. Journal of Human Capital(3)1:1-42. Data downloaded from http://www.fabricemurtin.com/ 2. Cohen, Daniel & Marcelo Cohen. 2007. 'Growth and human capital: Good data, good results' Journal of economic growth 12(1):51-76. Data downloaded from http://soto.iae-csic.org/Data.htm 3. Barro, Robert and Jong-Wha Lee, 2013, "A New Data Set of Educational Attainment in the World, 1950-2010." Journal of Development Economics, vol 104, pp.184-198. Data downloaded from http://www.barrolee.com/ Total Population 1. Maddison, Angus. 2004. 'The World Economy: Historical Statistics'. Organization for Economic Co-operation and Development: Paris. 13.
2. United Nations Population Division. 2009.

--- Original source retains full ownership of the source dataset ---

This article tests fairness justifications offered in 168 nationally determined contributions (NDCs) to the 2015 Paris Agreement against the touchstone of principles of international environmental law. It finds that while many NDCs refer to elements and indicators that are backed by principles of international law in determining fair shares (sustainable development, special circumstances, common but differentiated responsibilities and equity), some NDCs justify their contributions on the basis of indicators not backed by such principles (indicators including small share of global emissions (for states that are not LDCs and SIDSs), least cost pathways, and emissions per GDP). These insights are used to select a sub-set of approaches to the quantification of national fair share emissions targets among approaches previously surveyed in the literature. This leads to the exclusion of approaches based on cost and grandfathering. Next, the principles of harm prevention and precaution, and the normative pillars of the climate change regime, including its objective, ‘progression’, and ‘highest possible ambition,’ and the norms relating to human rights, are engaged to argue for further narrowing the range of national fair shares such that the sum of individual contributions is collectively compatible with the Paris Agreement’s long-term temperature goal. This leads to the finding that developed states have a Paris temperature goal compatible emission level in 2030 that is net-negative. Of the G20 states, only India and Indonesia can temporarily increase their emissions relative to 2010, only India relative to today. Around half the G20 states have increased emissions over the 2010s, and those decreasing emissions have done so too slowly. Key policy insightsStates’ fairness justifications for their contributions to the Paris Agreement should be scrutinized for compatibility with widely-accepted principles of international environmental law as well as the normative pillars of the climate change regime.Fair share ranges consistent with international environmental law principles offer a benchmark for existing and new nationally determined contributions under the Paris Agreement, for peer-to-peer comparisons, and to feed into the global stocktakes.Such fair share ranges can inform climate litigation in which the adequacy of national contributions, and thus a state’s fair share, is at issue. States’ fairness justifications for their contributions to the Paris Agreement should be scrutinized for compatibility with widely-accepted principles of international environmental law as well as the normative pillars of the climate change regime. Fair share ranges consistent with international environmental law principles offer a benchmark for existing and new nationally determined contributions under the Paris Agreement, for peer-to-peer comparisons, and to feed into the global stocktakes. Such fair share ranges can inform climate litigation in which the adequacy of national contributions, and thus a state’s fair share, is at issue.

Under a Paris Agreement warming scenario – which means limitting the temperature rise to less than 1.5ºC above pre-industrial levels – Latin America and the Caribbean would experience a loss of roughly four percent of the region's per capita GDP. This figure increases under more extreme warming scenarios, reaching a loss of 16 percent of the region's GDP if temperatures go up to 3.2ºC above pre-industrial levels.

Background: Instituted under the Paris Agreement, Nationally Determined Contributions (NDCs) outline countries’ plans for mitigating and adapting to climate change. They are the primary policy instrument for protecting people’s health in the face of rising global temperatures. However, evidence on engagement with health in the NDCs is limited. Methods: We analysed the NDCs in the UNFCCC registry submitted by 185 countries. Using content analysis and natural language processing (NLP) methods, we developed measures of health engagement. Multivariate regression analyses examined whether country-level factors (e.g. population size, GDP, climate-related exposures) were associated with greater health engagement. Using NLP methods, we compared health engagement with other climate-related challenges (economy, energy, agriculture) and examined broader differences in the terms used in countries with higher and lower engagement. Findings: Countries making no mention of health in their NDCs are clustered in the richer Global North while greater health engagement is concentrated in the Global South. Lower GDP per capita and being a Small Island Development State were associated with greater health engagement. In addition, greater population exposure to temperature change and ambient air pollution were associated with more health coverage. Variation in health engagement is greater than for other climate-related issues, and reflects wider differences in countries’ approaches to the NDCs. Interpretation: A focus on health in the NDCs is patterned in line with broader global inequalities. Poorer and climate-vulnerable countries that contribute least to climate change are more likely to engage with health, while richer countries anchor their NDCs in non-health sectors such as energy and the economy. Funding: This work was in part funded through an unrestricted grant from the Wellcome Trust and supported by ESRC grant number ES/S012257/1.