With over **** million foreign persons residing in ******* in 2023, the country had the highest number of foreign-born people living in its territory among the 27 Member States of the European Union. Followed by ****** with around *** million and Spain at over ***** million.

In 2025, the European country registering the largest number of migrants' arrivals was Italy. As of June 2025, 27,000 immigrants reached the Italian peninsula by sea. Spain had the second-largest number of arrivals by sea, 16,400 immigrants, both from the Wester Mediterranean route and the Wester African Atlantic route.

In 2021, Germany, Spain, and France were the countries which saw the highest immigration in the European Union. Germany alone say over 870,000 immigrants entering the country in that year, with a majority coming from non-EU countries. There is significant variation in the make-up of the inflows of migrants in different EU member states, with countries such as Spain and Italy seeing large majorities coming from outside the EU, while France and Germany saw roughly an equal number of migrants coming from other EU countries or being returning citizens of those countries. The Netherlands and Belgium stand out as countries which saw more intra-EU migrants than non-EU migrants, with approximately 90,000 and 63,000 moving to these countries respectively from within the EU. Several EU member states saw the greatest share of migrants being citizens of the country themselves, with Romania, Ireland, Greece, and Portugal being notable in this respect. These countries have all seen large flows of people working in other EU member states in recent years, who in many case return to their country of origin within a couple of years.

As of 2023, Germany was the European Union member state with the greatest number of people coming from other EU member states living in the country, with over 4.5 million EU migrants. Other countries with large populations of intra-EU migrants include Spain, France, and Italy. As a share of population, Ireland stands and Belgium stand out among EU countries, with around 10% of the population of these countries being from other EU member states, while in Luxembourg it is around a third.

Migration in Europe in 2024 marks a return to normality after the extreme disruptions experienced in 2022. While in 2022 ******* saw the largest negative net migration balance, with almost * million of its citizens fleeing the eastern European country in the aftermath of Russia's invasion, in 2024 it is in fact the country with the largest positive net migration balance. Over **** million Ukrainians have returned to their home country from abroad, leading Poland, Romania, and Hungary to have large net migration deficits, as they were key recipient countries for Ukrainians in 2022. The other countries which experienced large positive net migration balances in 2023 are all in Western Europe, as the UK, the Netherlands, France, Italy, and Spain all remain popular destinations for migrants.

The empirical dataset is derived from a survey carried out on 25 estates in 14 cities in nine different European countries: France (Lyon), Germany (Berlin), Hungary (Budapest and Nyiregyha´za), Italy (Milan), the Netherlands (Amsterdam and Utrecht), Poland (Warsaw), Slovenia (Ljubljana and Koper), Spain (Barcelona and Madrid), and Sweden (Jo¨nko¨ping and Stockholm). The survey was part of the EU RESTATE project (Musterd & Van Kempen, 2005). A similar survey was constructed for all 25 estates.

The survey was carried out between February and June 2004. In each case, a random sample was drawn, usually from the whole estate. For some estates, address lists were used as the basis for the sample; in other cases, the researchers first had to take a complete inventory of addresses themselves (for some deviations from this general trend and for an overview of response rates, see Musterd & Van Kempen, 2005). In most cities, survey teams were hired to carry out the survey. They worked under the supervision of the RESTATE partners. Briefings were organised to instruct the survey teams. In some cases (for example, in Amsterdam and Utrecht), interviewers were recruited from specific ethnic groups in order to increase the response rate among, for example, the Turkish and Moroccan residents on the estates. In other cases, family members translated questions during a face-to-face interview. The interviewers with an immigrant background were hired in those estates where this made sense. In some estates it was not necessary to do this because the number of immigrants was (close to) zero (as in most cases in CE Europe).

The questionnaire could be completed by the respondents themselves, but also by the interviewers in a face-to-face interview.

Data and Representativeness

The data file contains 4756 respondents. Nearly all respondents indicated their satisfaction with the dwelling and the estate. Originally, the data file also contained cases from the UK.

However, UK respondents were excluded from the analyses because of doubts about the reliability of the answers to the ethnic minority questions. This left 25 estates in nine countries. In general, older people and original populations are somewhat over-represented, while younger people and immigrant populations are relatively under-represented, despite the fact that in estates with a large minority population surveyors were also employed from minority ethnic groups. For younger people, this discrepancy probably derives from the extent of their activities outside the home, making them more difficult to reach. The under-representation of the immigrant population is presumably related to language and cultural differences. For more detailed information on the representation of population in each case, reference is made to the reports of the researchers in the different countries which can be downloaded from the programme website. All country reports indicate that despite these over- and under-representations, the survey results are valuable for the analyses of their own individual situation.

This dataset is the result of a team effort lead by Professor Ronald van Kempen, Utrecht University with funding from the EU Fifth Framework.

The data presented in this data project were collected in the context of two H2020 research projects: ‘Enhanced migration measures from a multidimensional perspective’(HumMingBird) and ‘Crises as opportunities: Towards a level telling field on migration and a new narrative of successful integration’(OPPORTUNITIES). The current survey was fielded to investigate the dynamic interplay between media representations of different migrant groups and the governmental and societal (re)actions to immigration. With these data, we provide more insight into these societal reactions by investigating attitudes rooted in values and worldviews. Through an online survey, we collected quantitative data on attitudes towards: Immigrants, Refugees, Muslims, Hispanics, Venezuelans News Media Consumption Trust in News Media and Societal Institutions Frequency and Valence of Intergroup Contact Realistic and Symbolic Intergroup Threat Right-wing Authoritarianism Social Dominance Orientation Political Efficacy Personality Characteristics Perceived COVID-threat, and Socio-demographic Characteristics For the adult population aged 25 to 65 in seven European countries: Austria Belgium Germany Hungary Italy Spain Sweden And for ages ranged from 18 to 65 for: United States of America Colombia The survey in the United States and Colombia was identical to the one in the European countries, although a few extra questions regarding COVID-19 and some region-specific migrant groups (e.g. Venezuelans) were added. We collected the data in cooperation with Bilendi, a Belgian polling agency, and selected the methodology for its cost-effectiveness in cross-country research. Respondents received an e-mail asking them to participate in a survey without specifying the subject matter, which was essential to avoid priming. Three weeks of fieldwork in May and June of 2021 resulted in a dataset of 13,645 respondents (a little over 1500 per country). Sample weights are included in the dataset and can be applied to ensure that the sample is representative for gender and age in each country. The cooperation rate ranged between 12% and 31%, in line with similar online data collections.

This statistic presents the perceived number of immigrants in Europe in 2018. According to data published by Ipsos, respondents in Germany think ** people out of 100 are immigrants in their country, while actual figures show only ** people are. Overall, the proportion of immigrants is overestimated by most of the respondents in these countries.

As of 2021, Germany was the European Union country which saw the largest number of immigrants from non-EU countries, with over 430,000 migrants with non-EU citizenship moving to Germany. Spain was the country with the second largets number of extra-EU immigrants, at roughly 346,000 people, while Italy and France saw 200,000 and 170,000 respectively.

Résumé

Le projet de recherche MAFE est une initiative de grande ampleur dont l'objectif est d'étudier les migrations entre l'Afrique subsaharienne et l'Europe. - Attention, la documentation des enquêtes MAFE est en langue anglaise. -

The MAFE project is a major research initiative focused on migration between Sub-Saharan Africa and Europe. It brings together ten European and African research centres working on international migration.

In the early XXIth Century, international migration from Sub-Saharan Africa to Europe has generated increasing public and policy attention. The flotilla of boats bringing would-be migrants to the Canary Islands, and attempts to reach Spanish territory in Ceuta and Mellila have drawn a rapid response from Europe in the form of new policy measures. Yet the scope, nature and likely development of Sub-Saharan African migration to Europe remained poorly understood, and, as a result, European polices may be ineffective. A major cause of this lack of understanding was the absence of comprehensive data on the causes of migration and circulation between Africa and Europe.

The MAFE project aimed at overcoming this lack of understanding by collecting unique data on the characteristics and behavior of migrants from Sub-Saharan countries to Europe. The key notion underpinning the project was that migration must not only be seen as a one-way flow from Africa to Europe. The argument was that return migration, circulation and transnational practices are significant and must be understood in order to design better migration policy.

The MAFE project focused on migration flows between Europe (Belgium, France, Italy, the Netherlands, Spain and the UK) and Senegal, the Democratic Republic of Congo and Ghana, which together accounted for over a quarter of all African migration to the EU at the time of the survey. In each of these "migration systems", the survey was designed to document four key areas: - Patterns of migration : *the socio-demographic characteristics of migrants, *the routes of migration from Africa to Europe, and *the patterns of return migration and circulation. - Determinants of migration: looking at departure, but also return and circulation and taking into account the whole set of possible destinations. - Migration and Development: MAFE documents some of the socio-economic changes driven by international migration, looking as often as possible at both ends of the Afro-European migration system, at the individual level. - Migrations and Families: the data collected by the MAFE project can be used to study all sorts of interactions between family formation and international migration. Although the survey was primarily designed to study international migration, it can also be used to study other phenomena, especially in Africa: domestic mobility, labor market participation, family formation, etc. Comparable data was collected in both 3 sending and 6 destination countries, i.e. in sub-Saharan Africa and in Europe. The data are longitudinal - including retrospective migration, education, work and family histories for individuals - and multi-level - (with data collected at the individual and household levels, in addition of macro-contextual data).

Please consult the official MAFE website for further details : https://mafeproject.site.ined.fr/en/

Geographic coverage

Six European countries and three African countries participated in the MAFE surveys. Data collection was carried out in both sending countries in Africa and destination countries in Europe, in order to constitute transnational samples. For MAFE Senegal, data was collected in Senegal (African part) and France, Italy and Spain (European part).

Analysis unit

Individual Household

Univers

SENEGAL Household: Households selected randomly from the updated list of households in the selected primary sampling units. Two strata were distinguished: the households with migrants and those without migrants. Individual: People aged 25-75 at the time of the survey, born in Senegal and who have/had Senegalese citizenship. This lower age limit was set in order to obtain informative life histories. By not including respondents younger than 25, the resources were used more effectively. The place of birth criterion was used to exclude people who were born out of their country of origin in order to exclude second generation migrants in Europe and to increase the homogeneity of sample. Up to two return migrants and partners of migrants, and one randomly selected other eligible person. Return migrants were eligible if their first departure was above at 18 or over.

EUROPE In all the European countries, the surveys were conducted among males and females who were aged 25 and over at the time of the surveys, and who were 18 or over when they had left Africa for the first time for at least one year. For MAFE Senegal, only migrants from Senegal were interviewed. This was a way to reinforce the homogeneity of the sample by excluding people of the 1.5 generation who are often "passive" migrants.

In theory, surveyed individuals must be representative of the whole population with these characteristics in the departure region and in the destination countries. The sample is composed of males and females. In Europe, in spite of a gender demographic disequilibrium, the objective was to include 50% of males and 50% of females in order to allow gender analyses.

Kind of data

survey data

Frequency of data collection

SENEGAL In Senegal, data collection activities started in November 2007 (selection of survey sites in Dakar and listing of households in the selected sites). They ended in September 2008 (data entry and data cleaning). Overall, 11 months were necessary to carry out all the activities related to data collection, and fieldwork lasted a little less than 6 months. Data collection was organized in two separate stages: the household survey was first conducted, and the biographic survey started after the household survey had been completed. The data collected in the household survey was used to prepare a sampling frame of individuals for the biographic survey; quick data entry of part of the questionnaires of the household survey was thus necessary before starting data collection for the biographic survey. Although this approach had advantages, it also lengthened the data collection process. This approach was not used for surveys in Ghana and DR Congo, where both surveys were conducted simultaneously.

EUROPE In France, Italy and Spain the surveys were conducted in 2008, before the start of the EU funded project. Data collection activities lasted approximately 6 months. Note: A second round was carried in Spain in 2010. About 400 Senegalese migrants were interviewed using exactly the same questionnaire. The data will be released in the future. For more information, contact: pau.baizan@upf.edu

Sampling procedure

Probability: Stratified

  SENEGAL

A three-stage stratified random sample was used. At the first stage, primary sampling units (census district) were selected randomly with varying probabilities. At the second stage, households were selected randomly in each of the selected primary sampling units (PSUs). At the third stage, individuals were selected within the households. a) Selection of primary sampling units (first stage) In the Senegal survey, the sample was designed to be probabilistic and representative of the Dakar region, and at the same time to maximize the chance of reaching households 'affected' by international migration (rare population). The sampling frame used to select the primary sampling units was the 2002 Population Census. The census districts (CD) -which are usually used as the primary sampling units in surveys in Senegal - have an average size of 100 households in urban areas. 60 primary sampling units were randomly selected at the first stage. This number of primary sampling units allows reaching a balance between a large dispersion of households (which decreases sampling errors) and a more concentrated sample (which reduces costs). The region of Dakar was divided into 10 strata of equal size, according to the % of migrant households within each of them (in average, 11.6% of the households were 'migrants'). 6 CD's per stratum were drawn, with a probability proportional to the number of households within each CD. In other words, census districts with a large number of migrants were more likely to be selected than those with low numbers of migrants. This approach increases the number of migrants interviewed in the individual survey, while still having a probabilistic sample representative of the target area. The listing of the households in the 60 selected primary sampling units was updated in order to select the sample of households. This stage was essential because a lot of changing occurred in some large neighbourhoods of Dakar since the previous census (2002), especially in suburban areas. This counting also allowed distinguishing between households with and without migrants. b) Selection of households (second stage) The following approach was used in MAFE-Senegal: - Households were selected randomly (using systematic random sampling) from the updated list of households in the selected PSUs. Two strata were distinguished: the households with migrants and those without migrants. A maximum of 50% of households with migrants were drawn in each district. Selected households that could not be reached (absence, refusals,…) were not replaced during the fieldwork. Replacement would distort the computation of sampling weights, and could also lead to bias the sample. To take account of refusals and absences

In Europe, although integration of the immigrant population is acknowledged as a multidimensional challenge, the precise dimensions of integration have varied considerably throughout the past decades and between nations. Nowadays, most states have adopted ‘civic integration’ programmes to some extent, thereby placing weight on the acquisition of ‘national moral values’, implying that successful integration requires the assimilation of certain core values and implementing various strategies to instil these in immigrants. However, critics of civic integration have called into question whether the adoption of a host society’s normative values facilitates immigrants’ own integration. To provide evidence on this matter, we leverage data from the European Social Survey, collected between 2002 and 2020 (N = 261,830) and examine how immigrants’ self-reported values relate to their integration. Our analyses ask whether value assimilation predicts improvements in immigrants’ occupational status, socialization, and political participation throughout 27 countries in the European Union. We find that differences in moral values account, at most, for a fraction of the integration gap between natives and immigrants. These results therefore call into question the assimilationist principle that adopting a host society’s values is conducive to immigrants’ integration.

Are immigration policies in European countries converging? Or do some countries remain more open to immigrants than others? We address these questions through an analysis of labour migration policies in five European countries from 1990 to 2016. Using an original immigration policy index (ImPol) to measure policy restrictiveness we examine whether policies have converged, to what extent immigration regimes reflect distinct ‘varieties of capitalism’, and whether national policy trajectories are shaped by domestic politics. We find little evidence of convergence; mixed evidence that immigration policy regimes reflect capitalist diversity; and strong evidence that policies respond to changes in domestic political conditions. Whilst ‘varieties of capitalism’ may set the broad parameters for immigration regimes, the direction and timing of policy changes are determined by domestic political competition.

This table contains 25 series, with data for years 1955 - 2013 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada ...) Last permanent residence (25 items: Total immigrants; France; Great Britain; Total Europe ...).

The MIFARE survey was designed to focus on immigrants who migrated to the receiving country at an age of 16 years or older. The MIFARE survey has been conducted in three countries: Denmark, Germany and the Netherlands. All three countries have the opportunity to sample from population registers, including migrants. The opportunity to sample randomly from the registers enables us to test for representativeness of the survey, to approach migrant groups that are smaller in number, and guarantees comparable designs in the three countries. We propose to sample migrants from the age of 18 and older, and a native control group (to be able to compare between migrants and natives also for the questions specifically developed for the proposed survey). We choose 4 intra-EU origin countries and 6 extra-EU origin countries, including the most numerous migrant populations: Poland, Romania, Spain and the UK for the intra-EU origin countries. As extra-EU origin countries, we select China (mainland only, excluding Hong Kong), Japan, Turkey, the Philippines (not in Germany due to sampling issues), Russia, and the US. China and Turkey are the only countries not included in either the ISSP or ESS.

Résumé

Le projet de recherche MAFE est une initiative de grande ampleur dont l'objectif est d'étudier les migrations entre l'Afrique subsaharienne et l'Europe. - Attention, la documentation des enquêtes MAFE est en langue anglaise. -

The MAFE project is a major research initiative focused on migration between Sub-Saharan Africa and Europe. It brings together ten European and African research centres working on international migration.

In the early XXIth Century, international migration from Sub-Saharan Africa to Europe has generated increasing public and policy attention. The flotilla of boats bringing would-be migrants to the Canary Islands, and attempts to reach Spanish territory in Ceuta and Mellila have drawn a rapid response from Europe in the form of new policy measures. Yet the scope, nature and likely development of Sub-Saharan African migration to Europe remained poorly understood, and, as a result, European polices may be ineffective. A major cause of this lack of understanding was the absence of comprehensive data on the causes of migration and circulation between Africa and Europe.

The MAFE project aimed at overcoming this lack of understanding by collecting unique data on the characteristics and behavior of migrants from Sub-Saharan countries to Europe. The key notion underpinning the project was that migration must not only be seen as a one-way flow from Africa to Europe. The argument was that return migration, circulation and transnational practices are significant and must be understood in order to design better migration policy.

The MAFE project focused on migration flows between Europe (Belgium, France, Italy, the Netherlands, Spain and the UK) and Senegal, the Democratic Republic of Congo and Ghana, which together accounted for over a quarter of all African migration to the EU at the time of the survey. In each of these "migration systems", the survey was designed to document four key areas: - Patterns of migration : *the socio-demographic characteristics of migrants, *the routes of migration from Africa to Europe, and *the patterns of return migration and circulation. - Determinants of migration: looking at departure, but also return and circulation and taking into account the whole set of possible destinations. - Migration and Development: MAFE documents some of the socio-economic changes driven by international migration, looking as often as possible at both ends of the Afro-European migration system, at the individual level. - Migrations and Families: the data collected by the MAFE project can be used to study all sorts of interactions between family formation and international migration. Although the survey was primarily designed to study international migration, it can also be used to study other phenomena, especially in Africa: domestic mobility, labor market participation, family formation, etc. Comparable data was collected in both 3 sending and 6 destination countries, i.e. in sub-Saharan Africa and in Europe. The data are longitudinal - including retrospective migration, education, work and family histories for individuals - and multi-level - (with data collected at the individual and household levels, in addition of macro-contextual data).

Please consult the official MAFE website for further details : https://mafeproject.site.ined.fr/en/

Geographic coverage

Six European countries and three African countries participated in the MAFE surveys. Data collection was carried out in both sending countries in Africa and destination countries in Europe, in order to constitute transnational samples. For MAFE DR Congo, data was collected in the Demogratic Republic of Congo (African part), and Belgium and United Kingdom (European part).

Analysis unit

Individual Household

Univers

DR CONGO Household: Households selected randomly from the updated list of households in the selected primary sampling units. Three strata were distinguished: households with return migrants, with migrants abroad, and without migrants. Individual: People aged 25-75, born in DR Congo. This lower age limit was set in order to obtain informative life histories. By not including respondents younger than 25, the resources were used more effectively. The place of birth criterion was used to exclude people who were born out of their country of origin in order to exclude second generation migrants in Europe and to increase the homogeneity of sample. All the return migrants and partners of migrants, and one randomly selected other eligible person. Return migrants were eligible if their first departure was above at 18 or over.

EUROPE In all the European countries, the surveys were conducted among males and females who were aged 25 and over at the time of the surveys, and who were 18 or over when they had left Africa for the first time for at least one year. Migrants from only DR Congo were interviewed.

Kind of data

survey data

Frequency of data collection

DR CONGO In DR Congo, the survey preparation started in March 2009. A pilot survey was organized in May-June 2009. The selection of the survey sites was done in June 2009, and the listing of the households in the selected sites started in June and ended in July 2009. Data collection started in early August, soon after the training of interviewers and the sampling of households. It lasted for about 4 months, until mid November. Like in Ghana, both the household and biographic surveys were conducted at the same time. Editing and coding was also done during the fieldwork and ended a few weeks after the fieldwork. Because of administrative problems with money transfer, data entry started a little bit later.

EUROPE In Belgium and United Kingdom, data collection was conducted in 2009-2010. Data collection lasted about five months in the UK and seven months in Belgium. Editing was done along data collection. Data entry was done between October and December 2009 in the UK, and between December 2009 and March 2010 in Belgium.

Sampling procedure

Probability: Stratified

  DR CONGO

A three-stage stratified random sample was used. At the first stage, primary sampling units (census district) were selected randomly with varying probabilities. At the second stage, households were selected randomly in each of the selected primary sampling units (PSUs). At the third stage, individuals were selected within the households. a) Selection of primary sampling units (first stage) For DR Congo, the target area was the city of Kinshasa. In this city, a sampling frame of primary sampling units was prepared. No recent census was available, so the sampling frame of the 2007 DHS was used to select neighbourhoods, and in each selected neighbourhoods, a sampling frame of streets was prepared. In DR Congo, a sample of 29 neighbourhoods (out of 324) was selected randomly with a probability proportional to size, and 3 streets were selected randomly with a probability proportional to size in each neighbourhood (87 sampling units). The sample was stratified at the first stage in DR Congo (3 strata). b) Selection of households (second stage) A listing operation was carried out in each of the selected survey sites to prepare the sampling frame of households. The listing consisted in enumerating all the households in the selected sites, and in identifying whether these households included migrants of not. In DR Congo and Ghana, three categories of households were distinguished (households with return migrants, with migrants abroad, and without migrants). 7 households were selected in each of the 3 strata (if less than 7 households were available in one or several strata, the remaining households were selected in the other stratum). The sampling rate was higher in strata of households with migrants, in order to get a sufficient sample of such households. c) Selection of individuals (third stage) In each of the selected households, one or several respondents were selected among the eligible people (people aged between 25 and 75, and born in the origin country). In DR Congo and Ghana, all the return migrants and partners of migrants currently abroad were selected. In addition, one other eligible member was randomly selected. A special tool had been designed so that the interviewers could randomly select the people during the fieldwork. Two types of questionnaires were used in the departure countries: the household questionnaire and the individual life history questionnaire. - The first questionnaire was used among a representative sample of households in the target region. - The second questionnaire was used among a sample of individuals in the selected households, targeting both return migrants and non-migrants. The household questionnaire was thus used as the sampling frame for the selection of individual respondents.

EUROPE The objective of the survey was to obtain a sample 'as representative as possible' of the African populations (Congolese, Ghanaian, Senegalese) in the destination countries (150 individuals per origin and destination country). The way the sample was constituted may vary across countries, but some common principles were respected: - The composition of the sample should be as close as possible to the population of (Congolese, Ghanaian, Senegalese) migrants in the country in terms of gender, geographic distribution, age, socio-economic category or occupation. - One exception: the sample should be gender balanced. Males and females should be equally represented in order to allow gender analyses. - Samples in origin and destination may be linked, but migrants with weak or no relationships at origin should not be excluded from the sample. - Both documented and

• Attention and interest on international issues related to different countries.
• Most important objectives for Spain in international politics.
• Image of the Ibero-American countries in Spain and for the interviewee.
• Spain's relations with Latin America in economic, political, cultural, scientific/technical and sporting aspects.
• Most important objectives for Spain in international policy with Latin America.
• Similarities, common interests and union in the future between Spain and Latin American or European countries.
• Knowledge of the annual celebration of the Ibero-American Summit.
• Importance of the Ibero-American Summit for the countries of Latin America and for Spain.
• Agreement with various statements on the Ibero-American Summits: They strengthen political and economic ties, poor practical results, boost cooperation, and recent summits have lost relevance.
• Main problems that currently exist in the world. Opinion on the cooperation of Spain to the development of other peoples and the role of the State in international aid and cooperation.
• Countries to which Spanish development cooperation is directed and to which it should be directed.
• Evaluation of the resources that Spain dedicates to international cooperation for development and knowledge of the reduction of funds in recent years due to the crisis. Knowledge of the objective of industrialized countries to devote 0.7% of their GDP to help less developed countries. Opinion on whether Spain should dedicate 0.7% of its GDP. Knowledge of the percentage of Spanish GDP that is dedicated to helping less developed countries.
• Important aspects in development cooperation: human rights, health, indigenous peoples, poverty,... Knowledge of the United Nations Millennium Goals. Likelihood of achieving the various Goals. Knowledge of the resources that your Autonomous Community or City Council dedicates to cooperation with developing countries. Opinion on whether they should devote part of their resources.
• Agreement on the form of financing of NGOs.
• Most important task to be performed by NGDOs. Composition of NGOs to make their work effective.
• Participation in the interviewee's development cooperation.
• Box marked for allocation in the Income Statement.
• Influence on relations between Spain and Latin America of Latin American immigrants.
• Main cause of the immigration that Spain receives. Changes in the image of Latin America due to the presence of Latin American immigrants and the degree of agreement with a series of opinions about them.
• Beneficiary of the work done by immigrants from less developed countries.
• Agreement that there would be fewer immigrants if cooperation between countries were greater.
• Effect of the economic situation on immigrant and Spanish workers.
• Opinions on Spanish immigration policy and changes that should be introduced.
• Knowledge of Spanish companies with interests in Latin America. Investment.
• Effect of the performance of Spanish companies investing in Latin America has on the image of Spain.
• Equal performance of Spanish companies in Spain and Latin America.
• The Spanish Government should encourage greater involvement of Spanish companies abroad.
• Opinion on the action of Spanish companies in Latin America Larina in environmental and social matters
• Effect of the performance of Spanish companies investing in Latin America has on relations between Spain and these countries.
• Opinion on who benefits from the presence of Spanish companies in Latin America.
• Ideological self-location scale (1-10).
• Electoral participation in the 2008 general elections.
• Religious practice.

In December 2019, a novel coronavirus emerged in Wuhan, China, rapidly spreading into a global pandemic. Italy was the first European country to experience SARS-CoV-2 epidemic, and one of the most severely affected during the first wave of diffusion. In contrast to the general restriction of people movements in Europe, the number of migrants arriving at Italian borders via the Mediterranean Sea route in the summer of 2020 had increased dramatically, representing a possible, uncontrolled source for the introduction of novel SARS-CoV-2 variants. Importantly, most of the migrants came from African countries showing limited SARS-CoV-2 epidemiological surveillance. In this study, we characterized the SARS-CoV-2 genome isolated from an asymptomatic migrant arrived in Sardinia via the Mediterranean route in September 2020, in comparison with SARS-CoV-2 isolates arrived in Sicily through the Libyan migration route; with SARS-CoV-2 isolates circulating in Sardinia during 2020; and with viral genomes reported in African countries during the same summer. Results showed that our sequence is not phylogenetically related to isolates from migrants arriving in Sicily, nor to isolates circulating in Sardinia territory, having greater similarity to SARS-CoV-2 genomes reported in countries known for being sites of migrant embarkation to Italy. This is in line with the hypothesis that most SARS-CoV-2 infections among migrants have been acquired prior to embarking to Italy, possibly during the travel to or the stay in crowded Libyan immigrant camps. Overall, these observations underline the importance of dedicated SARS-CoV-2 surveillance of migrants arriving in Italy and in Europe through the Mediterranean routes.

Reduced labour market flexibility may protect some native workers from immigrant competition but can increase negative effects on equilibrium employment. This motivates an analysis of immigration effects interacted with institutions. OLS estimates for European countries show small, mostly negative immigration effects while an IV strategy based on immigrants from former Yugoslavia generates larger though mostly insignificant negative estimates. Specifications allowing interactions between immigration and measures of labour and product market rigidity are consistent with the view that reduced flexibility increases negative immigration effects. The estimates typically imply more native job losses in countries with restrictive institutions, especially restricted product markets.

Informacje o liczbie rezydentów Ukrainy, którzy przyjechali do Polski z zamiarem przebywania ponad 12 miesięcy (imigracja na pobyt stały) lub o wymeldowaniach rezydentów Polski, wyjeżdżających do Ukrainy z zamiarem przebywania ponad 12 miesięcy (emigracja na pobyt stały). Dane od 2010 r. w podziale na płeć i stan cywilny migranta.

Definicje pojęć i wyjaśnienia metodologiczne:

Emigracja (wg Rozporządzenia (WE) nr 862/2007)

Działanie, w ramach którego osoba, mająca uprzednio miejsce zamieszkania na terytorium państwa członkowskiego, zaprzestaje posiadania swojego zwyczajowego miejsca zamieszkania w tym państwie członkowskim na okres, który wynosi co najmniej dwanaście miesięcy lub co do którego przewiduje się, że będzie on tyle wynosić.

Wyjaśnienia metodologiczne:

Obowiązujące w Unii Europejskiej rozporządzenie (WE) nr 862/2007 Parlamentu Europejskiego i Rady z dnia 11 lipca 2007 r. w sprawie statystyk Wspólnoty z zakresu migracji i ochrony międzynarodowej zawiera definicję migracji uwzględniającą zamierzony okres zamieszkania w innym kraju wynoszący co najmniej 12 miesięcy. W rozumieniu tej definicji emigracja to opuszczenie kraju przez jego rezydenta z zamiarem przebywania za granicą przez okres co najmniej 12 miesięcy. Dane o emigracji na pobyt stały pochodzą z rejestru PESEL 07 i dotyczą osób wymeldowanych w związku z wyjazdem za granicę z zamiarem stałego pobytu.

Imigracja (wg Rozporządzenia (WE) nr 862/2007)

Działanie, w wyniku którego osoba ustanawia swoje miejsce zamieszkania na terytorium państwa członkowskiego na okres, który wynosi co najmniej dwanaście miesięcy lub co do którego przewiduje się, że będzie on tyle wynosić, będąc uprzednio rezydentem innego państwa członkowskiego lub państwa trzeciego.

Wyjaśnienia metodologiczne:

Obowiązujące w Unii Europejskiej rozporządzenie (WE) nr 862/2007 Parlamentu Europejskiego i Rady z dnia 11 lipca 2007 r. w sprawie statystyk Wspólnoty z zakresu migracji i ochrony międzynarodowej zawiera definicję migracji uwzględniającą zamierzony okres zamieszkania w innym kraju wynoszący co najmniej 12 miesięcy. W rozumieniu tej definicji imigracja to przybycie do kraju osoby będącej uprzednio rezydentem innego kraju z zamiarem przebywania przez okres co najmniej 12 miesięcy. Dane o imigracji na pobyt stały pochodzą z rejestru PESEL 04 i dotyczą osób zameldowanych na pobyt stały po przyjeździe z zagranicy.

Akty prawne

- rozporządzenie (WE) nr 862/2007 Parlamentu Europejskiego i Rady z dnia 11 lipca 2007 r. w sprawie statystyk Wspólnoty z zakresu migracji i ochrony międzynarodowej oraz uchylające rozporządzenie Rady (EWG) nr 311/76 w sprawie zestawienia statystyk dotyczących pracowników cudzoziemców (Dz. Urz. UE L 199 z 31.07.2007, str. 23, z późn. zm.)
- rozporządzenie Parlamentu Europejskiego i Rady (UE) nr 1260/2013 z dnia 20 listopada 2013 r. w sprawie statystyk europejskich w dziedzinie demografii (Dz. Urz. UE L 330 z 10.12.2013, str. 39)

Częstotliwość: rok

Szereg czasowy: 2010-2022

Przekroje: Polska; Płeć; Kraj; Stan cywilny migranta

Źródło danych: GUS (dane z rejestru PESEL i Ministerstwa Cyfryzacji)

The survey, commissioned by the newsmagazine Suomen Kuvalehti, charted attitudes in Finland towards immigrants from different countries as well as beliefs about race. First, the respondents were asked to state their position on a scale from 0 to 10, where 10 indicated they hoped that Finland would be populated as much as possible by people of Finnish origin sharing the national values, and 0 that they hoped Finland would be populated as much as possible by people from a diversity of countries and ethnic backgrounds. Next, opinions were studied regarding how desirable or undesirable the respondents thought it was that immigrants of certain nationalities would come to Finland. The nationalities mentioned were Swedes, Germans, Russians, Estonians, US Americans, Somalis, Kosovars, Iraqis, Afghans, Syrians, Chinese, Thai and Ukrainians. The respondents were also asked to what extent they agreed with the following four statements: 'The mental abilities of black Africans are lower than those of white people living in Western countries', ' All people have equal value regardless of the colour of their skin or ethnic background', 'The white European race should be prevented from being mixed with darker races because otherwise the original population of Europe will become extinct before long ', and 'There is no such thing as 'race' since all human beings are genetically very much alike'. One question studied whether the respondents thought the Finnish media reported more negatively or positively on the Perussuomalaiset party (the Finns Party) than on the other political parties. Background variables included the respondent's gender, age, region of residence (NUTS3), major region of residence (NUTS2), city or type of municipality, education, occupational status and economic activity, household composition, number and ages of children living at home, total gross annual income of the household, and type of housing.