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.

Abstract

The Statistical and Forecasting Service has been entrusted with the production of the AC 2010. (SSP) which is the central statistical department of the Ministry in charge of agriculture, (MAAPRAT) the central department is in charge of the design of the operation, the drafting of the questionnaire and instructions, the training of regional services, the final quality control of the data collected and of the first publication of the results. The SSP has relied on its specialised decentralised levels, the services regional statistics (NUTS2) of statistical and economic information (SRISE). The threshold definition of agricultural holding applied has been the same since 1955, and corresponds exactly to the one proposed by the European regulation. The geographical area is the whole of France; for the DOM the territories of Saint-Martin and Saint-Barthélemy are now excluded, Mayotte is not yet included.

For statistical purposes, agricultural censuses in French territories (French Guyana, Guadeloupe, Reunion and Martinique) are recorded separately in the World Census of Agriculture Database. The census results are presented for all of France.

Geographic coverage

National coverage

Analysis unit

Households

Universe

The statistical unit in the AC 2010 was the agricultural holding, defined as an economic unit that participates in agricultural production and meets the following criteria: · it has an agricultural activity either of production, or of maintenance of the lands in good agricultural and environmental

Kind of data

Census/enumeration data [cen]

Sampling procedure

a. Frame The basic list of agricultural holdings was built using the SSP farm register, the SIRENE register (business register), the list of farmers who had applied for aid (area declarations),' and some additional sources for beekeeping, olive oil, aromatic plants. The holding lists were checked at local level by communal commissions.

b. Complete and/or sample enumeration method(s) The AC and SAPM were conducted using complete enumeration.

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

Three questionnaires were used: one for France in Europe (including questions of regional interest) and two for France's overseas territories: one for Guadeloupe, Martinique and Reunion and another for Guyana. The census covered all 16 core items recommended in the WCA 2010. ie.

0001 Identification and location of agricultural holding 0002+ Legal status of agricultural holder 0003 Sex of agricultural holder 0004 Age of agricultural holder 0005 Household size 0006 Main purpose of production of the holding 0007 Area of holding according to land use types 0008 Total area of holding 0009 Land tenure types on the holding 0010 Presence of irrigation on the holding 0011 Types of temporary crops on the holding 0012 Types of permanent crops on the holding and whether in compact plantation 0013 Number of animals on the holding for each livestock type 0014 Presence of aquaculture on the holding 0015+ Presence of forest and other wooded land on the holding 0016 Other economic production activities of the holding's enterprise

Cleaning operations

a. DATA PROCESSING AND ARCHIVING The CAPI interface included controls to ensure that there were responses to all questions. In addition, interactive range and consistency checks were included for each variable so that corrections could be made by the enumerator during the interview. Further edits and imputations were completed at the central office where the census validation and tabulation was completed. To ensure that the list of holdings was complete, several tests were conducted at the end of collection. All available administrative sources were used to verify that existing holdings had been identified and included. The key databases and registers used included that for EU agriculture aid applications, the national database of bovine identification, the computerized vineyard register, organic producer records, and some local registers for small productions. The data, after validation, were archived on secured servers.

b. CENSUS DATA QUALITY To assess the quality of field data collection, completeness checks and feedback were performed at the end of field data collection operation, from March to June 2011. Data checking began during the collection phase on the farmer's premises. It then continued throughout the processing chain. A special effort was made to check the AC's coverage by using the administrative data available. The nonresponse rate was of only 0.96 percent, and the missing data were imputed using the hot deck method.

Data appraisal

The first provisional census results were disseminated in September 2011, ten months after the end of the reference period. The main final results were made available at the end of February 2012, 16 months after the end of the reference period. The AC 2010 results were disseminated online and are available on the SSP website.9 The "ADEL" tool allows web users to build their own tables.

The first table with main results shows the total number and area of holdings broken down by continental France, on one hand, and its overseas territories, on the other. See metadata review tables in external materials.

This dataset consists of data collected during the October 2021 census. A few trees were also measured in January 2022 as they could not be accessed in 2021. The data collection includes treeID, position, DBH_cm (girth in cm), observations, POM_cm (Point of measurement) status, census, date, family, genus and species. Botanical identification was done by Julien Engel (IRD). Trees were positioned using TLS scan by Olivier Martin. This tree census was funded by CNES (France).

Data tables on the social and economic conditions in Pre-Confederation Canada from the first census in 1665 to Confederation in 1867. This dataset is one of three that cover the history of the censuses in Quebec. These tables cover New France for the years 1676-1754. For census data for the years 1825-1861, see the Lower Canada dataset; for census data for the years 1765-1790, see the Province of Quebec dataset. The tables were transcribed from the fourth volume of the 1871 Census of Canada: Reprint of the Censuses of Canada, 1665-1871, available online from Statistics Canada, Canadiana, Government of Canada Publications, and the Internet Archive. Note on terminology: Due to the nature of some of the data sources, terminology may include language that is problematic and/or offensive to researchers. Certain vocabulary used to refer to racial, ethnic, religious and cultural groups is specific to the time period when the data were collected. When exploring or using these data do so in the context of historical thinking concepts – analyzing not only the content but asking questions of who shaped the content and why.

Census of the Eastern population since the 18th century, this list specifies: * Census year * The total number of inhabitants recorded in the municipality The census records of the Eastern population existed from 1936 to 1975 and are kept by the Archives. They have all been digitised, but only the 1936 census is available online, the population censuses from 1946 to 1975 can be consulted in the reading room. Consult the 1936 Census Before the French Revolution, the population was evaluated by fire (i.e. by house) or parish; it was a simple population count. In 1800, Lucien Bonaparte, Minister of the Interior, organised the foundations of the modern census with the establishment of the first general enumeration of the population. Systematic nominative lists by municipality were put in place in 1836. These censuses are then held every 5 years (years in 1 and 6) but are disturbed in times of war: thus the 1871 was established in 1872 and those of 1916 and 1941 were not realised. In the second half of the 20th century, periodicity is no longer as regular, censuses in the form of nominative lists took place in 1946, 1954, 1962, 1968 and 1975. From the 1954 census, nominative lists became optional. In 1982, the nominative list was deleted at the request of the National Commission for Informatics and Freedoms (CNIL), the censuses were then compiled in the form of statistical tables.

Platforms DB Resources, DB Resources RGP 2007, DB Resources RP 2008, 2009, 2010. In de la Rose des vents, with search engine and thematic organization of statistical maps and data files. Source: INSEE

Abstract

The Statistical and Forecasting Service has been entrusted with the production of the AC 2010. (SSP) which is the central statistical department of the Ministry in charge of agriculture, (MAAPRAT) the central department is in charge of the design of the operation, the drafting of the questionnaire and instructions, the training of regional services, the final quality control of the data collected and of the first publication of the results. The SSP has relied on its specialised decentralised levels, the services regional statistics (NUTS2) of statistical and economic information (SRISE). The threshold definition of agricultural holding applied has been the same since 1955, and corresponds exactly to the one proposed by the European regulation. The geographical area is the whole of France; for the DOM the territories of Saint-Martin and Saint-Barthélemy are now excluded, Mayotte is not yet included.

For statistical purposes, agricultural censuses in French territories (French Guyana, Guadeloupe, Reunion and Martinique) are recorded separately in the World Census of Agriculture Database. The census results are presented for all of France.

Geographic coverage

National coverage

Analysis unit

Households

Universe

The statistical unit in the AC 2010 was the agricultural holding, defined as an economic unit that participates in agricultural production and meets the following criteria: · it has an agricultural activity either of production, or of maintenance of the lands in good agricultural and environmental

Kind of data

Census/enumeration data [cen]

Sampling procedure

a. Frame The basic list of agricultural holdings was built using the SSP farm register, the SIRENE register (business register), the list of farmers who had applied for aid (area declarations),' and some additional sources for beekeeping, olive oil, aromatic plants. The holding lists were checked at local level by communal commissions.

b. Complete and/or sample enumeration method(s) The AC and SAPM were conducted using complete enumeration.

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

Three questionnaires were used: one for France in Europe (including questions of regional interest) and two for France's overseas territories: one for Guadeloupe, Martinique and Reunion and another for Guyana. The census covered all 16 core items recommended in the WCA 2010. ie.

0001 Identification and location of agricultural holding 0002+ Legal status of agricultural holder 0003 Sex of agricultural holder 0004 Age of agricultural holder 0005 Household size 0006 Main purpose of production of the holding 0007 Area of holding according to land use types 0008 Total area of holding 0009 Land tenure types on the holding 0010 Presence of irrigation on the holding 0011 Types of temporary crops on the holding 0012 Types of permanent crops on the holding and whether in compact plantation 0013 Number of animals on the holding for each livestock type 0014 Presence of aquaculture on the holding 0015+ Presence of forest and other wooded land on the holding 0016 Other economic production activities of the holding's enterprise

Cleaning operations

a. DATA PROCESSING AND ARCHIVING The CAPI interface included controls to ensure that there were responses to all questions. In addition, interactive range and consistency checks were included for each variable so that corrections could be made by the enumerator during the interview. Further edits and imputations were completed at the central office where the census validation and tabulation was completed. To ensure that the list of holdings was complete, several tests were conducted at the end of collection. All available administrative sources were used to verify that existing holdings had been identified and included. The key databases and registers used included that for EU agriculture aid applications, the national database of bovine identification, the computerized vineyard register, organic producer records, and some local registers for small productions. The data, after validation, were archived on secured servers.

b. CENSUS DATA QUALITY To assess the quality of field data collection, completeness checks and feedback were performed at the end of field data collection operation, from March to June 2011. Data checking began during the collection phase on the farmer's premises. It then continued throughout the processing chain. A special effort was made to check the AC's coverage by using the administrative data available. The nonresponse rate was of only 0.96 percent, and the missing data were imputed using the hot deck method.

Data appraisal

The first provisional census results were disseminated in September 2011, ten months after the end of the reference period. The main final results were made available at the end of February 2012, 16 months after the end of the reference period. The AC 2010 results were disseminated online and are available on the SSP website.9 The "ADEL" tool allows web users to build their own tables.

The first table with main results shows the total number and area of holdings broken down by continental France, on one hand, and its overseas territories, on the other. See metadata review tables in external materials.

Abstract

The Statistical and Forecasting Service has been entrusted with the production of the AC 2010. (SSP) which is the central statistical department of the Ministry in charge of agriculture, (MAAPRAT) the central department is in charge of the design of the operation, the drafting of the questionnaire and instructions, the training of regional services, the final quality control of the data collected and of the first publication of the results. The SSP has relied on its specialised decentralised levels, the services regional statistics (NUTS2) of statistical and economic information (SRISE). The threshold definition of agricultural holding applied has been the same since 1955, and corresponds exactly to the one proposed by the European regulation. The geographical area is the whole of France; for the DOM the territories of Saint-Martin and Saint-Barthélemy are now excluded, Mayotte is not yet included.

For statistical purposes, agricultural censuses in French territories (French Guyana, Guadeloupe, Reunion and Martinique) are recorded separately in the World Census of Agriculture Database. The census results are presented for all of France.

Geographic coverage

National coverage

Analysis unit

Households

Universe

The statistical unit in the AC 2010 was the agricultural holding, defined as an economic unit that participates in agricultural production and meets the following criteria: · it has an agricultural activity either of production, or of maintenance of the lands in good agricultural and environmental

Kind of data

Census/enumeration data [cen]

Sampling procedure

a. Frame The basic list of agricultural holdings was built using the SSP farm register, the SIRENE register (business register), the list of farmers who had applied for aid (area declarations),' and some additional sources for beekeeping, olive oil, aromatic plants. The holding lists were checked at local level by communal commissions.

b. Complete and/or sample enumeration method(s) The AC and SAPM were conducted using complete enumeration.

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

Three questionnaires were used: one for France in Europe (including questions of regional interest) and two for France's overseas territories: one for Guadeloupe, Martinique and Reunion and another for Guyana. The census covered all 16 core items recommended in the WCA 2010. ie.

0001 Identification and location of agricultural holding 0002+ Legal status of agricultural holder 0003 Sex of agricultural holder 0004 Age of agricultural holder 0005 Household size 0006 Main purpose of production of the holding 0007 Area of holding according to land use types 0008 Total area of holding 0009 Land tenure types on the holding 0010 Presence of irrigation on the holding 0011 Types of temporary crops on the holding 0012 Types of permanent crops on the holding and whether in compact plantation 0013 Number of animals on the holding for each livestock type 0014 Presence of aquaculture on the holding 0015+ Presence of forest and other wooded land on the holding 0016 Other economic production activities of the holding's enterprise

Cleaning operations

a. DATA PROCESSING AND ARCHIVING The CAPI interface included controls to ensure that there were responses to all questions. In addition, interactive range and consistency checks were included for each variable so that corrections could be made by the enumerator during the interview. Further edits and imputations were completed at the central office where the census validation and tabulation was completed. To ensure that the list of holdings was complete, several tests were conducted at the end of collection. All available administrative sources were used to verify that existing holdings had been identified and included. The key databases and registers used included that for EU agriculture aid applications, the national database of bovine identification, the computerized vineyard register, organic producer records, and some local registers for small productions. The data, after validation, were archived on secured servers.

b. CENSUS DATA QUALITY To assess the quality of field data collection, completeness checks and feedback were performed at the end of field data collection operation, from March to June 2011. Data checking began during the collection phase on the farmer's premises. It then continued throughout the processing chain. A special effort was made to check the AC's coverage by using the administrative data available. The nonresponse rate was of only 0.96 percent, and the missing data were imputed using the hot deck method.

Data appraisal

The first provisional census results were disseminated in September 2011, ten months after the end of the reference period. The main final results were made available at the end of February 2012, 16 months after the end of the reference period. The AC 2010 results were disseminated online and are available on the SSP website.9 The "ADEL" tool allows web users to build their own tables.

The first table with main results shows the total number and area of holdings broken down by continental France, on one hand, and its overseas territories, on the other. See metadata review tables in external materials.

Original provider: Observatoire PELAGIS UAR 3462 University La Rochelle - CNRS

Dataset credits: Observatoire PELAGIS UMS 3462, University La Rochelle - CNRS -Agence des Aires Marines Protégées - Direction de l'Eau et de la Biodiversité

Abstract: In order to establish a baseline map of cetaceans and other pelagic megafauna across the French EEZ, the French agency for marine protected areas (AAMP) decided to conduct a series of surveys allowing hotspots of abundance and diversity to be identified and a future monitoring scheme to be established. A dedicated aerial survey methodology, following standard protocols, was preferred to ship surveys. The general design corresponds to published protocols prepared for small cetaceans, but data for other marine mammals (large whales, sirenians), seabirds, sea-turtles, large teleosts and large elasmobranchs) are collected as well. Data collected include species, group size, angle to survey track for cetaceans located within 500m on both sides of survey track, allowing line transect data analyses. For seabirds all encounters located within 200m on both sides of survey track are recorded for strip-transect analysis. Covariates collected on board include sea-state, turbidity, glare and cloud coverage. The study areas include all sectors of the French EEZ: North-East Atlantic, the tropical Atlantic (French Caribbean and Guiana), Indian (Reunion Island, Mayotte and the Scattered Islands) and south Pacific oceans (French Polynesia, New Caledonia, Wallis and Futuna). These surveys follow the general SCANS methodology (Hiby and Lovell, 1998) adapted to aircrafts. A zigzag track layout is used and transects are sampled at a target altitude of 180 m and ground speed of 90 nm.h-1 (167 km.h-1). Survey platforms are high-wing, double-engine aircrafts fitted with bubble windows; a Partenavia P68 was used in 2008 in the Atlantic and two Britten Norman BN-2 in 2009-10 in the southwest Indian Ocean. Survey crew typically consists in two trained observers observing with naked eyes and a flight leader in charge of data collection.

Purpose: In order to establish a baseline map of cetaceans and other pelagic megafauna across the French EEZ, it was decided to conduct a series of surveys from 2008 onwards following a standardized methodology that would allow comparisons within and between regions as well as temporally, for the sake of the identification of hotspots of abundance and diversity and the establishment of a future monitoring scheme. These surveys are named the REMMOA and SAMM surveys for REcensement des Mammifères marins et autre Mégafaune pélagique par Observation Aérienne (Census of marine mammals and other pelagic megafauna by aerial survey) and Suivi Aérien de la Megafaune Marine (Aerial survey for marine megafauna). Additionally, considering the fragmented nature of the French EEZ, notably compared to the spatial scale that is relevant for the species of interest, the implementation of these surveys at regional scale by collaboration with neighboring countries was encouraged.

Supplemental information: [2022-01-18] Data in 2020 were appended. [2018-04-26] Data in 2016 and 2017 were appended.

Time and group size of the sightings are not available online. They may be released upon request.

There are records for plankton observations but these records are not visible online.

The animals the provider identified as Sterninae spp were registered as Laridae spp. However, you can still see the original species identification online.

IPUMS-International is an effort to inventory, preserve, harmonize, and disseminate census microdata from around the world. The project has collected the world's largest archive of publicly available census samples. The data are coded and documented consistently across countries and over time to facilitate comparative research. IPUMS-International makes these data available to qualified researchers free of charge through a web dissemination system. The IPUMS project is a collaboration of the Minnesota Population Center, National Statistical Offices, and international data archives. Major funding is provided by the U.S. National Science Foundation and the Demographic and Behavioral Sciences Branch of the National Institute of Child Health and Human Development. Additional support is provided by the University of Minnesota Office of the Vice President for Research, the Minnesota Population Center, and Sun Microsystems. Detailed metadata will be found in ipumsi_6.3_fr_1975_ddic.html within the Data Package. The related metadata describes the content of the extraction of the specified sample from the IPUMS International on-line extraction system.

This map shows the percent of population with a limited ability to speak English by census tract. Search to your community and investigate the top language needs in nearby census tracts.*DATA AS OF 2011-2015*Data Source: U.S. Census Bureau's American Community Survey 5-year estimates, 2011-2015, Table B16001.Complete list of all languages available in this data set (29):Spanish or Spanish Creole; French (including Patois, Cajun); French Creole; Italian; Portuguese; German; Yiddish; Greek; Russian; Polish; Serbo-Croatian; Armenian; Persian; Gujarati; Hindi; Urdu; Chinese; Japanese; Korean; Mon-Khmer, Cambodian; Hmong; Thai; Laotian; Vietnamese; Tagalog; Navajo; Hungarian; Arabic; Hebrew. Those who have limited English ability and speak other languages are included in the percentage depicted in the map, but other languages will not appear in the ranked list or in the table.Accompanying feature layer and viewing app are also available.

This service shows the predominant mother tongue in each census subdivision based on English, French or non-official language. The data is from the data table Mother Tongue (10), Age (27) and Sex (3) for the Population of Canada, Provinces and Territories, Census Divisions and Census Subdivisions, 2016 Census - 100% Data, Statistics Canada Catalogue no. 98-400-X2016046. Mother tongue refers to the first language learned at home in childhood and still understood by the person at the time the data was collected. If the person no longer understands the first language learned, the mother tongue is the second language learned. For a person who learned two languages at the same time in early childhood, the mother tongue is the language this person spoke most often at home before starting school. The person has two mother tongues only if the two languages were used equally often and are still understood by the person. For a child who has not yet learned to speak, the mother tongue is the language spoken most often to this child at home. The child has two mother tongues only if both languages are spoken equally often so that the child learns both languages at the same time. For additional information refer to the 2016 Census Dictionary for 'Mother tongue'. 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 subdivision” web service, accessible in the data resources section below.

Canada's first census of Canadian academic librarians was conducted by the Canadian Association of Academic Librarians (CAPAL) from June to September, 2016. The goal of the census is to build a comprehensive demographic picture of the profession of academic librarianship by collecting data about librarians working in colleges and university libraries in Canada. It is the intention of CAPAL to share the data for research, policy development, and education purposes. Attached are three reports: 2016 Census of Canadian Academic Librarians User Guide and Results Summary (English and French) 2016 Census of Canadian Academic Librarians Cross Tabulation Report (English and French is forthcoming) 2016 Census of Canadian Academic Librarians Microdata

Assessing underwater biodiversity is labour-intensive and costly, but is crucial for measuring the extent of the decline in local fish stock. In most cases, Underwater Visual Census (UVC) is the preferred method, however this can be costly in terms of human effort and is limited by meteorological and logistical factors. Advances in technology allows the utilisation of more autonomous video recording methods (i.e. Remote Operated Vehicles (ROV)) which addresses these limitations. This study used a transect-wise UVC coupled with diver operated videos (DOV). For the video analysis, a comprehensive fully automated pipeline was developed to extract frames from DOV and perform colour correction. This pipeline integrates a YOLO-based model to detect 20 Mediterranean fish species and validate the presence or absence of each species within individual transects. This study was conducted to evaluate the feasibility of using video-based methods for UVC with minimal human-input. The result of automa..., 1. Study area and data collection The training dataset (DATAT ) was gathered in eight different locations in the Mediterranean Sea along the French Riviera, following the same UVC protocol on each site (Harmelin-Vivien et al., 1985). The depth ranged from 1-37m and was carried out during the whole year in 2022 (cold and warm season) to cover the full range of conditions and possibilities of fish occurrences. The experimental dataset (DATAE) was recorded in October 2023 in and around two protected areas, one no-take zone (Cap Roux) and one Natura2000 site (Corniche Varoise), which both have elevated biodiversity. The specific coordinates and meta data can be found in the supplementary material (Table S1). A total of 64 videos, each corresponding to a transect, from 14 sites (8 on seagrass meadows and 6 on rocky substrates) were evaluated and compared. Each site consists of 3 to 6 transects, depending on the availability of video recordings and UVC data from the divers. The videos were ob..., , # Data from: Towards a fully automated underwater census for fish assemblages in the Mediterranean Sea

https://doi.org/10.5061/dryad.f7m0cfz6f

Description of the data and file structure

1. Study area and data collection

The training dataset (DATA_T) was gathered in eight different locations in the Mediterranean Sea along the French Riviera, following the same UVC protocol on each site. The depth ranged from 1-37m and was carried out during the whole year in 2022 (cold and warm season) to cover the full range of conditions and possibilities of fish occurrences.

The experimental dataset (DATA_E) was recorded in October 2023 in and around two protected areas, one no-take zone (Cap Roux) and one Natura2000 site (Corniche Varoise), which both have elevated biodiversity. A total of 64 videos, each corresponding to a transect, from 14 sites (8 on seagrass meadows and 6 on rocky substrates) were evaluated and compared. Each site consists of...

European governments, struggling with incorporating diverse immigrant populations, introduced integration contracts. Through language training and compulsory civics courses, these contracts aim to induce new migrants to adopt the host society's culture, respect its values, and improve their labor market outcomes. Despite their popularity, little empirical evidence exists on whether integration contracts catalyze integration or trigger a backlash. To shed light on this question, we leverage the staggered introduction of France's integration contract across metropolitan departments between 2003 and 2006 to implement a regression discontinuity design. We use census data, labor force surveys, and our own survey of refugees to estimate the effect of the contract on integration outcomes. We find the integration contract facilitated employment in the short term without backlash but did not translate into long-lasting integration gains.

Ce jeu de données permet d'accéder aux résultats des recensements de la population, à des séries chronologiques de la Banque de Données Macro-économiques de l'Insee sur le thème de la population et à d'autres données issues notamment des statistiques de l'état civil. Le recensement de la population permet de connaître la diversité et l'évolution de la population de la France. L'Insee fournit ainsi des statistiques sur les habitants et les logements, leur nombre et leurs caractéristiques : répartition par sexe et âge, professions, diplômes-formation, conditions de logement, modes de transport, déplacements domicile-travail, etc. La BDM est la principale base de données de séries et indices sur l'ensemble des domaines économiques et sociaux.