Prepared by ICPSR under a project to automate major portions of the Statistique Generale de la France, this is a collection of demographic, social, education, economic, population, and vital statistics data for France, 1833-1925. This conversion project is a continuation of one conducted in 1972, for which a similar data collection was created, SOCIAL, DEMOGRAPHIC, AND EDUCATIONAL DATA FOR FRANCE, 1801-1897 (ICPSR 0048). The project to collect and prepare these data was sponsored by two French and two American groups: ICPSR and the Center for Western European Studies at the University of Michigan, and the Fourth and Sixth Sections of the Ecole Pratique des Hautes Etudes and Conseil National de la Recherches Scientifique in France. Both collections include data recorded at the departement, arrondissement, chef-lieu, and ville level. In this collection, materials from the vital statistics series were prepared for selected years rather than for each year in the period from 1900-1925. The years that were chosen clustered around the quinquennial censuses and also included (because of the violent demographic dislocations produced by World War I) each year in the 1914-1919 period. In addition, some vital statistics for the nineteenth century (1836-1850, 1880, and 1892) obtained from fugitive published volumes that could not be located during the course of the 1972 project were prepared. The 136 datasets in this collection contain: (1) French population, economic, and social data obtained from the quenquennial censuses of 1901, 1906, 1911, and 1921, that detail the composition of the population by categories of age, sex, nativity, marital status, religion, place of residence, and occupation, (2) industrial census data for the years 1861-1896, (3) data on primary education in France for 1833, 1901, and 1906, as well as data on secondary and higher education in France for the years 1836-1850, 1880, and 1892, and (4) data from a separate series of annual vital statistics (Mouvement de la Population) that cover the years 1836-1850, 1892, and 1900-1925, citing births, deaths, and marriages in the nation.

France FR: Total R&D Personnel: Full-Time Equivalent data was reported at 513,690.000 FTE in 2022. This records an increase from the previous number of 496,250.000 FTE for 2021. France FR: Total R&D Personnel: Full-Time Equivalent data is updated yearly, averaging 336,682.598 FTE from Dec 1981 (Median) to 2022, with 42 observations. The data reached an all-time high of 513,690.000 FTE in 2022 and a record low of 249,000.000 FTE in 1981. France FR: Total R&D Personnel: Full-Time Equivalent data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s France – Table FR.OECD.MSTI: Number of Researchers and Personnel on Research and Development: OECD Member: Annual.

In France, from 2014 onwards, the R&D personnel in the university hospitals is better identified, introducing to a break in series in the higher education sector; moreover, from that year, university hospitals collect R&D personnel data by gender whereas these figures were previously estimated. The National Centre for Scientific Research (CNRS) is included in the Higher Education sector, whereas in other countries such as Italy for example, this type of organisation is classified in the Government sector. This affects comparisons of the breakdown of R&D efforts by sector of performance.

The methodology of the public administrations survey was changed in 2010: the method for measuring the resources devoted to R&D in ministries and some public organisations has been modified, leading to a better identification of their financing activities. The impact is notably a 900 million fall in GOVERD and a 3 200 drop in FTE personnel.

From 2004 onwards, a new methodology was introduced to correct for some double-counting of funds for universities. In 2007, the sampling method in the BE sector was modified and the 2004 data revised according to the new methodology.

Beginning with the 2006 survey, in order to better take into account SMEs, there is no longer a cut-off point in the business enterprise sector of one Full-time-equivalent on R&D for an enterprise to be included in the survey population.

From 2001, coverage of the BE sector was expanded. Data communicated by the Ministry of Defence were also extended to cover research that was not considered R&D in earlier years. This also affected GBARD data.

In 2000, several methodological changes which improved the quality of the public sector data resulted in a break in series for that year: social charges and civil pensions are better captured in universities' research expenses; modification of responses from some institutes to better harmonise with the corresponding multi-annual programme; and implementation of a redesigned questionnaire. National sources estimate that the previous method would have produced a 1.6% increase in GERD, where the current method resulted in 4%.

Due to changes in the methods used to evaluate domestic expenditure on defence, the results of the 1998 surveys revealed significant modifications requiring new estimates for 1997. This break in series relates also to the GBARD data.

In 1997, the method used to measure R&D personnel in administrations has changed.

Between 1991 and 1992 France Télécom and GIAT Industries were transferred from the Government to the Business Enterprise sector following a change in their legal status.

Before 2016, part of R&D budgets cannot be allocated by NABS socio-economic objective. In 2006 and 2007, following the implementation of the Constitutional Bylaw on Budget Acts (LOLF act: 'loi organique relative aux lois de finances'), some departments are no longer recorded in the GBARD data. Consequently, total GBARD is underestimated for both years.

Comprehensive socio-economic dataset for France including population demographics, economic indicators, geographic data, and social statistics. This dataset covers key metrics such as GDP, population density, area, capital city, and regional classifications.

France FR: Government Sector: Number of Researchers: Female data was reported at 12,177.000 Person in 2021. This records an increase from the previous number of 11,853.000 Person for 2020. France FR: Government Sector: Number of Researchers: Female data is updated yearly, averaging 9,824.388 Person from Dec 2000 (Median) to 2021, with 20 observations. The data reached an all-time high of 12,177.000 Person in 2021 and a record low of 7,858.000 Person in 2001. France FR: Government Sector: Number of Researchers: Female data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s France – Table FR.OECD.MSTI: Number of Researchers and Personnel on Research and Development: OECD Member: Annual.

In France, from 2014 onwards, the R&D personnel in the university hospitals is better identified, introducing to a break in series in the higher education sector; moreover, from that year, university hospitals collect R&D personnel data by gender whereas these figures were previously estimated. The National Centre for Scientific Research (CNRS) is included in the Higher Education sector, whereas in other countries such as Italy for example, this type of organisation is classified in the Government sector. This affects comparisons of the breakdown of R&D efforts by sector of performance.

The methodology of the public administrations survey was changed in 2010: the method for measuring the resources devoted to R&D in ministries and some public organisations has been modified, leading to a better identification of their financing activities. The impact is notably a 900 million fall in GOVERD and a 3 200 drop in FTE personnel.

From 2004 onwards, a new methodology was introduced to correct for some double-counting of funds for universities. In 2007, the sampling method in the BE sector was modified and the 2004 data revised according to the new methodology.

Beginning with the 2006 survey, in order to better take into account SMEs, there is no longer a cut-off point in the business enterprise sector of one Full-time-equivalent on R&D for an enterprise to be included in the survey population.

From 2001, coverage of the BE sector was expanded. Data communicated by the Ministry of Defence were also extended to cover research that was not considered R&D in earlier years. This also affected GBARD data.

In 2000, several methodological changes which improved the quality of the public sector data resulted in a break in series for that year: social charges and civil pensions are better captured in universities' research expenses; modification of responses from some institutes to better harmonise with the corresponding multi-annual programme; and implementation of a redesigned questionnaire. National sources estimate that the previous method would have produced a 1.6% increase in GERD, where the current method resulted in 4%.

Due to changes in the methods used to evaluate domestic expenditure on defence, the results of the 1998 surveys revealed significant modifications requiring new estimates for 1997. This break in series relates also to the GBARD data.

In 1997, the method used to measure R&D personnel in administrations has changed.

Between 1991 and 1992 France Télécom and GIAT Industries were transferred from the Government to the Business Enterprise sector following a change in their legal status.

Before 2016, part of R&D budgets cannot be allocated by NABS socio-economic objective. In 2006 and 2007, following the implementation of the Constitutional Bylaw on Budget Acts (LOLF act: 'loi organique relative aux lois de finances'), some departments are no longer recorded in the GBARD data. Consequently, total GBARD is underestimated for both years.

This study contains selected demographic, social, economic, public policy, and political comparative data for Switzerland, Canada, France, and Mexico for the decades of 1900-1960. Each dataset presents comparable data at the province or district level for each decade in the period. Various derived measures, such as percentages, ratios, and indices, constitute the bulk of these datasets. Data for Switzerland contain information for all cantons for each decennial year from 1900 to 1960. Variables describe population characteristics, such as the age of men and women, county and commune of origin, ratio of foreigners to Swiss, percentage of the population from other countries such as Germany, Austria and Lichtenstein, Italy, and France, the percentage of the population that were Protestants, Catholics, and Jews, births, deaths, infant mortality rates, persons per household, population density, the percentage of urban and agricultural population, marital status, marriages, divorces, professions, factory workers, and primary, secondary, and university students. Economic variables provide information on the number of corporations, factory workers, economic status, cultivated land, taxation and tax revenues, canton revenues and expenditures, federal subsidies, bankruptcies, bank account deposits, and taxable assets. Additional variables provide political information, such as national referenda returns, party votes cast in National Council elections, and seats in the cantonal legislature held by political groups such as the Peasants, Socialists, Democrats, Catholics, Radicals, and others. Data for Canada provide information for all provinces for the decades 1900-1960 on population characteristics, such as national origin, the net internal migration per 1,000 of native population, population density per square mile, the percentage of owner-occupied dwellings, the percentage of urban population, the percentage of change in population from preceding censuses, the percentage of illiterate population aged 5 years and older, and the median years of schooling. Economic variables provide information on per capita personal income, total provincial revenue and expenditure per capita, the percentage of the labor force employed in manufacturing and in agriculture, the average number of employees per manufacturing establishment, assessed value of real property per capita, the average number of acres per farm, highway and rural road mileage, transportation and communication, the number of telephones per 100 population, and the number of motor vehicles registered per 1,000 population. Additional variables on elections and votes are supplied as well. Data for France provide information for all departements for all legislative elections since 1936, the two presidential elections of 1965 and 1969, and several referenda held in the period since 1958. Social and economic data are provided for the years 1946, 1954, and 1962, while various policy data are presented for the period 1959-1962. Variables provide information on population characteristics, such as the percentages of population by age group, foreign-born, bachelors aged 20 to 59, divorced men aged 25 and older, elementary school students in private schools, elementary school students per million population from 1966 to 1967, the number of persons in household in 1962, infant mortality rates per million births, and the number of priests per 10,000 population in 1946. Economic variables focus on the Gross National Product (GNP), the revenue per capita per household, personal income per capita, income tax, the percentage of active population in industry, construction and public works, transportation, hotels, public administration, and other jobs, the percentage of skilled and unskilled industrial workers, the number of doctors per 10,000 population, the number of agricultural cooperatives in 1946, the average hectares per farm, the percentage of farms cultivated by the owner, tenants, and sharecroppers, the number of workhorses, cows, and oxen per 100 hectares of farmland in 1946, and the percentages of automobiles per 1,000 population, radios per 100 homes, and cinema seats per 1,000 population. Data are also provided on the percentage of Communists (PCF), Socialists, Radical Socialists, Conservatives, Gaullists, Moderates, Poujadists, Independents, Turnouts, and other political groups and p

France - Share of GBAORD allocated to defence and total civil socio-economic objectives was 8.52% in December of 2023, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for France - Share of GBAORD allocated to defence and total civil socio-economic objectives - last updated from the EUROSTAT on July of 2025. Historically, France - Share of GBAORD allocated to defence and total civil socio-economic objectives reached a record high of 21.81% in December of 2009 and a record low of 1.13% in December of 2020.

France FR: Government Sector: Number of Researchers: Total data was reported at 31,845.000 Person in 2021. This records an increase from the previous number of 31,167.000 Person for 2020. France FR: Government Sector: Number of Researchers: Total data is updated yearly, averaging 27,597.350 Person from Dec 1992 (Median) to 2021, with 28 observations. The data reached an all-time high of 31,845.000 Person in 2021 and a record low of 21,457.000 Person in 1992. France FR: Government Sector: Number of Researchers: Total data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s France – Table FR.OECD.MSTI: Number of Researchers and Personnel on Research and Development: OECD Member: Annual.

In France, from 2014 onwards, the R&D personnel in the university hospitals is better identified, introducing to a break in series in the higher education sector; moreover, from that year, university hospitals collect R&D personnel data by gender whereas these figures were previously estimated. The National Centre for Scientific Research (CNRS) is included in the Higher Education sector, whereas in other countries such as Italy for example, this type of organisation is classified in the Government sector. This affects comparisons of the breakdown of R&D efforts by sector of performance.

The methodology of the public administrations survey was changed in 2010: the method for measuring the resources devoted to R&D in ministries and some public organisations has been modified, leading to a better identification of their financing activities. The impact is notably a 900 million fall in GOVERD and a 3 200 drop in FTE personnel.

From 2004 onwards, a new methodology was introduced to correct for some double-counting of funds for universities. In 2007, the sampling method in the BE sector was modified and the 2004 data revised according to the new methodology.

Beginning with the 2006 survey, in order to better take into account SMEs, there is no longer a cut-off point in the business enterprise sector of one Full-time-equivalent on R&D for an enterprise to be included in the survey population.

From 2001, coverage of the BE sector was expanded. Data communicated by the Ministry of Defence were also extended to cover research that was not considered R&D in earlier years. This also affected GBARD data.

In 2000, several methodological changes which improved the quality of the public sector data resulted in a break in series for that year: social charges and civil pensions are better captured in universities' research expenses; modification of responses from some institutes to better harmonise with the corresponding multi-annual programme; and implementation of a redesigned questionnaire. National sources estimate that the previous method would have produced a 1.6% increase in GERD, where the current method resulted in 4%.

Due to changes in the methods used to evaluate domestic expenditure on defence, the results of the 1998 surveys revealed significant modifications requiring new estimates for 1997. This break in series relates also to the GBARD data.

In 1997, the method used to measure R&D personnel in administrations has changed.

Between 1991 and 1992 France Télécom and GIAT Industries were transferred from the Government to the Business Enterprise sector following a change in their legal status.

Before 2016, part of R&D budgets cannot be allocated by NABS socio-economic objective. In 2006 and 2007, following the implementation of the Constitutional Bylaw on Budget Acts (LOLF act: 'loi organique relative aux lois de finances'), some departments are no longer recorded in the GBARD data. Consequently, total GBARD is underestimated for both years.

Almost **** of the land in France in 2021 was occupied by farms. Another part of the metropolitan territory in France is occupied by forest areas. These occupancy rates vary greatly depending on the region.

Comprehensive socio-economic dataset for French Guiana including population demographics, economic indicators, geographic data, and social statistics. This dataset covers key metrics such as GDP, population density, area, capital city, and regional classifications.

Comprehensive socio-economic dataset for French Polynesia including population demographics, economic indicators, geographic data, and social statistics. This dataset covers key metrics such as GDP, population density, area, capital city, and regional classifications.

Comprehensive socio-economic dataset for French Southern and Antarctic Lands including population demographics, economic indicators, geographic data, and social statistics. This dataset covers key metrics such as GDP, population density, area, capital city, and regional classifications.

This service shows the percentage of population, excluding institutional residents, with knowledge of English and French for Canada by 2016 census division. The data is from the Census Profile, Statistics Canada Catalogue no. 98-316-X2016001. Knowledge of official languages refers to whether the person can conduct a conversation in English only, French only, in both languages or in neither language. For a child who has not yet learned to speak, this includes languages that the child is learning to speak at home. For additional information refer to 'Knowledge of official languages' in the 2016 Census Dictionary. For additional information refer to 'Knowledge of official languages' in the 2016 Census Dictionary. To have a cartographic representation of the ecumene with this socio-economic indicator, it is recommended to add as the first layer, the “NRCan - 2016 population ecumene by census division” web service, accessible in the data resources section below.

France FR: Government Total R&D Personnel: Compound Annual Growth Rate data was reported at 1.983 % in 2022. This records a decrease from the previous number of 3.651 % for 2021. France FR: Government Total R&D Personnel: Compound Annual Growth Rate data is updated yearly, averaging 0.398 % from Dec 1982 (Median) to 2022, with 37 observations. The data reached an all-time high of 7.762 % in 1982 and a record low of -7.507 % in 2001. France FR: Government Total R&D Personnel: Compound Annual Growth Rate data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s France – Table FR.OECD.MSTI: Number of Researchers and Personnel on Research and Development: OECD Member: Annual.

In France, from 2014 onwards, the R&D personnel in the university hospitals is better identified, introducing to a break in series in the higher education sector; moreover, from that year, university hospitals collect R&D personnel data by gender whereas these figures were previously estimated. The National Centre for Scientific Research (CNRS) is included in the Higher Education sector, whereas in other countries such as Italy for example, this type of organisation is classified in the Government sector. This affects comparisons of the breakdown of R&D efforts by sector of performance.

The methodology of the public administrations survey was changed in 2010: the method for measuring the resources devoted to R&D in ministries and some public organisations has been modified, leading to a better identification of their financing activities. The impact is notably a 900 million fall in GOVERD and a 3 200 drop in FTE personnel.

From 2004 onwards, a new methodology was introduced to correct for some double-counting of funds for universities. In 2007, the sampling method in the BE sector was modified and the 2004 data revised according to the new methodology.

Beginning with the 2006 survey, in order to better take into account SMEs, there is no longer a cut-off point in the business enterprise sector of one Full-time-equivalent on R&D for an enterprise to be included in the survey population.

From 2001, coverage of the BE sector was expanded. Data communicated by the Ministry of Defence were also extended to cover research that was not considered R&D in earlier years. This also affected GBARD data.

In 2000, several methodological changes which improved the quality of the public sector data resulted in a break in series for that year: social charges and civil pensions are better captured in universities' research expenses; modification of responses from some institutes to better harmonise with the corresponding multi-annual programme; and implementation of a redesigned questionnaire. National sources estimate that the previous method would have produced a 1.6% increase in GERD, where the current method resulted in 4%.

Due to changes in the methods used to evaluate domestic expenditure on defence, the results of the 1998 surveys revealed significant modifications requiring new estimates for 1997. This break in series relates also to the GBARD data.

In 1997, the method used to measure R&D personnel in administrations has changed.

Between 1991 and 1992 France Télécom and GIAT Industries were transferred from the Government to the Business Enterprise sector following a change in their legal status.

Before 2016, part of R&D budgets cannot be allocated by NABS socio-economic objective. In 2006 and 2007, following the implementation of the Constitutional Bylaw on Budget Acts (LOLF act: 'loi organique relative aux lois de finances'), some departments are no longer recorded in the GBARD data. Consequently, total GBARD is underestimated for both years.

France: Social globalization index (0-100): The latest value from 2022 is 82.03 points, a decline from 86 points in 2021. In comparison, the world average is 62.22 points, based on data from 190 countries. Historically, the average for France from 1970 to 2022 is 75.2 points. The minimum value, 65.01 points, was reached in 1970 while the maximum of 87.36 points was recorded in 2014.

The number of social media users in France was forecast to continuously increase between 2024 and 2029 by in total **** million users (****** percent). After the ninth consecutive increasing year, the social media user base is estimated to reach ***** million users and therefore a new peak in 2029. Notably, the number of social media users of was continuously increasing over the past years.The shown figures regarding social media users have been derived from survey data that has been processed to estimate missing demographics.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to *** countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the number of social media users in countries like Luxembourg and Netherlands.

Contains data from World Bank's data portal covering various economic and social indicators (one per resource).

France - People at Risk of Poverty after social transfer was 15.90% in December of 2024, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for France - People at Risk of Poverty after social transfer - last updated from the EUROSTAT on July of 2025. Historically, France - People at Risk of Poverty after social transfer reached a record high of 16.00% in December of 2000 and a record low of 12.00% in December of 2002.

France - People at Risk of Poverty or social exclusion was 1.50% in December of 2024, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for France - People at Risk of Poverty or social exclusion - last updated from the EUROSTAT on July of 2025. Historically, France - People at Risk of Poverty or social exclusion reached a record high of 1.90% in December of 2022 and a record low of -1.10% in December of 2013.

Socio-economic sensitivity takes into account the use and exploitation of coastal space and resources by society (marine culture, fishing, tourism, industrial water intakes, etc.). Its assessment is based on a large number of criteria that are difficult to enter statistically (economic information from administrations), highly variable over time, difficult to combine (turnover, employment, reception capacity) and sometimes difficult to access (more or less "strategic and confidential nature of the data"). The socio-economic sensitivity index of the French coastline is constructed by adding together the types of activities present in a municipality. A weighting has been assigned to certain activities considered to be particularly vulnerable according to the criterion of Cedre’s business interruption index: x10 for water intake activities and x5 for municipalities whose foreshore is the subject of a shellfish farm. This layer represents the socio-economic sensitivity index of the French coastline. Its cartographic representation is by commune, a scale at which data describing coastal socio-economic activities are relatively easy to obtain. The index is divided into five classes: 0 (no activities identified), 1-3, 4-7, 8-13, greater than or equal to 14 types of activities identified (including mark-up).

The coastal component of the Pacific Regional Oceanic and Coastal Fisheries Development Programme (PROCFish/C) conducted fieldwork in five locations around French Polynesia on September – October 2003, January – March 2004, and April – June 2006. French Polynesia is one of 17 Pacific Island countries and territories being surveyed over a 5–6 year period by PROCFish or its associated programme CoFish (Pacific Regional Coastal Fisheries Development Programme).

The aim of the survey work was to provide baseline information on the status of reef fisheries, and to help fill the massive information gap that hinders the effective management of reef fisheries. Other programme outputs include: • implementation of the first comprehensive multi-country comparative assessment of reef fisheries (finfish, invertebrates and socioeconomics) ever undertaken in the Pacific Islands region using identical methodologies at each site; • dissemination of country reports that comprise a set of ‘reef fisheries profiles’ for the sites in each country in order to provide information for coastal fisheries development and management planning; • development of a set of indicators (or reference points to fishery status) to provide guidance when developing local and national reef fishery management plans and monitoring programmes; and • development of data and information management systems, including regional and national databases.

Survey work in French Polynesia covered three disciplines (finfish, invertebrate and socioeconomic) in each site, with two sites surveyed on the first two trips, and one site on the third trip, by a team of five programme scientists and several local attachments from the Fisheries Department and CRIOBE research institute. The fieldwork included capacity building for the local counterparts through instruction on survey methodologies in all three disciplines, including the collection of data and inputting the data into the programme’s database.

In French Polynesia, the five sites selected for the survey were Fakarava, Maatea, Mataiea, Raivavae and Tikehau.

Version 01: This is the final, clean, labelled and anonymized version of the Master file.

-HOUSEHOLD: Household size and composition; Ranked sources of income and average household expenditure level; Average household consumption patterns and sources; Average number of fishers and boats per household.
-INDIVIDUAL: Education level of adult members of the household; When, how often and during which months of the year fishers go out to particulat habitats; Average catch size; Catch composition; Fishing techniques; Proportion of the catch targeted for subsistence, gift and sale, and preservation; How finfish and invertebrates are preserved; Community's fishing grounds; Management rules; Major problems relating to the use/management of the community's marine resources; Quantities by species or groups marketed; Quality and processing level of species marketed; Price in local currency/USD; Client groups; Quantitative and qualitative changes in marketing perceived over a period of time.

• Collection start: 2003
• Collection end: 2006