In 2022 there were approximately 308,000 first generation immigrants living in Amsterdam, approximately 13,000 more than the previous year. The population of migrants in Amsterdam fluctuated between the years of 1996 and 2007 from 182,000 in 1997 to 211,000 in 2005. It then gradually increased from 2007 until 2022, from 208,000 to 308,000.

In the year 2021, there were 79,000 people immigrating into Amsterdam and 74,000 emigrating out of Amsterdam.This gap between immigrants and emigrants has existed in every year since 2008, when there were 57,000 immigrants and 54,000 emigrants, apart from 2020. Between 1996 and 2008, the number of immigrants and emigrants fluctuated but stayed somewhat on a similar level.

This dataset contains information about the number and origin of the Amsterdam immigrants in the period 1578-1810. The data are subdivided in total, male and female, per region or place of origin. The dataset is based on lists compiled by the Amsterdam archivist dr. Simon Hart and his colleagues between 1960 and 1979.

In 2022, the largest foreign group of immigrants to the Netherlands came from Ukraine, with 99,700 immigrants. Polish, Dutch, Syrian and Turkish rounded out the top five foreign nationalities for immigrants to the Netherlands in that year.

In 2022, the province most inhabited by first generation migrants in the Netherlands is South Holland (which includes cities such as The Hague and Rotterdam) housing over 717,000 first generation migrants. North Holland (which includes the city of Amsterdam), has the second most migrants living in its province with 576,000. The province which houses the least first generation migrants is Drenthe at 26,000 first generation immigrants.

The TIES-NL data, as part of the overall TIES Project (see also the TIES website), surveyed respondents aged 18-35 who are native-born children of Turkish and Moroccan immigrants (the second generation) and their peers without an immigration background (the ‘comparison group’) in two main Dutch cities, Amsterdam and Rotterdam. The overall aim of the project is to collect valuable and comparable information on specific second-generation groups in 15 European cities, in order to measure their level of integration in many spheres (such as, but not limited to, education and the labour market) and the impact of context on integration.

The survey comprises the following modules: education, labour market, partner, parents, housing and neighbourhood, social relations and political participation, gender roles and child care, identity, religion, income and psychosocial, personal relations. See also the file with the questionnaire for more details. Relevant data at neighbourhood and municipality level for Rotterdam and Amsterdam were collected from CBS Statline and added to the dataset. Note that the data is coded to fit the international questionnaire, in order to facilitate comparisons with the other TIES surveys.

FUME data on projected distributions of migrants at local level between 2030 and 2050.

The dataset contains a folder of data for each destination city as a gridded dataset at 100m resolution in GeoTIFF format. The examined destination cities are: Amsterdam, Copenhagen, Krakow and Rome. The dataset is provided as 100m grid cells based on the Eurostat GISCO grid of the 2021 NUTS version, using ETRS89 Lambert Azimuthal Equal-Area (EPSG: 3035) as coordinate system. The file names consist of the projected year, the corresponding scenario, and the reference migrant group. The projections have been performed for the years 2030, 2040 and 2050. The investigated scenarios are the following: • benchmark (bs), • baseline (bs), • Rising East (re), • EU Recovery (eur), • Intensifying Global Competition (igc), and • War (war).

The migration background is derived from data about the Region of Origin (RoO) for migrants in Copenhagen and Amsterdam, and from Region of Citizenship (CoC) for migrants in Krakow and Rome.

The case study of Copenhagen covers the two central NUTS3 areas (DK011, DK012) and the groups presented are the following: • total population (totalpop), • native population (DNK), • Eastern EU European migrants (EU_East), • Western EU Europeans migrants (EU_West), • Non-EU European migrants (EurNonEU), • migrants from Turkey (Turkey), • the MENAP countries (MENAP; excluding Turkey), • other non-Western (OthNonWest), and • other Western countries (OthWestern).

The case study of Amsterdam covers one NUTS3 area (NL329) and the presented groups are the following: • total population (totalpop), • native population (NLD), • Eastern EU European migrants (EU East), • Western EU European migrants (EU West), • migrants from Turkey and Morocco (Turkey + Morocco), • migrants from the Middle East and Africa (Middle East + Africa), • migrants from the former colonies (Former Colonies), and • migrants from the rest of the world (Other Europe etc).

The case study of Krakow covers the Municipality of Krakow, and the presented groups are the following: • total population (totalpop), • native population (POL), • EU/EFTA European migrants (EU), • non-EU European migrants (Europe_nonEU), and • migrants from the rest of the world (Other).

The case of Rome covers the Municipality of Rome, and the presented groups are the following: • total population (totalpop), • native population (ITA), • migrants from Romania (ROU), • Philippines (PHL), • Bangladesh (BGD), • the EU (EU; excluding Romania), • Africa (Africa), • Asia (Asia; excluding Philippines and Bangladesh) and • America (America).

This statistic displays the number of people from the twenty largest immigrant groups in the Netherlands as of 2023. At this time, Poles were the largest group of foreign-born residents in the Netherlands with approximately 186,800 people.

The current panel describes and explains the life-courses of immigrant and native young adults in the Netherlands. The survey covers three central themes: (A) progress in school and in the labour market, (B) the development of norms, values, lifestyle and attitudes, (C) changes in social networks and social participation. This panel is the third of a 3-wave panel study CILS4EU, which follows these immigrant and native children at age 14, 15 and 16 in the Netherlands, England, Germany and Sweden. Later waves were conducted in the Netherlands under the CILSNL project. Wave 2 interviews respondents of around 16 years old.

The full version includes full information for all variables as well as 4 digit postal code information.

When citing this data, please also cite the international data of which it is a part: Kalter, Frank, Anthony F. Heath, Miles Hewstone, Jan O. Jonsson, Matthijs Kalmijn, Irena Kogan, and Frank van Tubergen. 2016c. Children of Immigrants Longitudinal Survey in Four European Countries (CILS4EU) – Full version. Data file for on‐site use. GESIS Data Archive, Cologne, ZA5353 Data file Version 3.1.0, doi:10.4232/cils4eu.5353.3.1.0.

Ce graphique montre le nombre d'immigrés installés aux Pays-Bas de 2007 à 2022. À partir de 2012, le nombre de migrants nouvellement installés a augmenté d'année en année. Cette année, 124.000 réfugiés étaient arrivés dans le royaume, en 2022, le nombre avait presque triplé.

Leisure activities of young Turkish and Moroccan immigrants. Duration of residence in the Netherlands / household situation / residence permit / education / job conditions / leisure activities at home / sports / membership of sports club / experiences at sports club / sports activities outside sports club / other leisure activities not at home / membership public library / friends / family / contacts with Dutch people / remigration. Background variables: basic characteristics/ place of birth/ residence/ housing situation/ occupation/employment/ education/ consumption of durables/ readership, mass media, and 'cultural' exposure/ organizational membership

Of the total non-Western population of approximately 2.53 million people in the Netherlands, people of Turkish origins formed the largest group with 430,000 people. The Dutch of Moroccan and Surinamese descent form the second and third-largest groups, with 419,300 and 359,800 people respectively.

Data derived from weekly public opinion polls in the Netherlands in 1992 concerning social and political issues. Samples were drawn from the Dutch population aged 18 years and older. All data from the surveys held between 1962 and 2000 are available in the DANS data collections. Background variables: Sex / age / religion / income / vote recall latest elections / party preference / level of education / union membership / professional status / < self > left-right rating / party alignment / province / degree of urbanization / weight factor. Topical variables: n9205: Type of medical insurance / Whether respondent heard about the announced changes in the medical insurance system / Expected change in income due to this changes in the medical insurance system / Respondent's opinion about the visit of prime-minister Lubbers and minister of foreign affairs Van den Broek to South-Africa / Familiarity with the names of 11 insurance companies. n9206: Whether respondent is living in Amsterdam / Frequency of visiting the center of Amsterdam / Means of conveyance when respondent is going to the center of Amsterdam / Voting intention at the coming referendum about the traffic- and parking problems in the center of Amsterdam / Whether respondent is an advocate or an opponent of a referendum in general / Voting intention if there might be a referendum about the changes in the medical insurance system / Respondent's type of medical insurance. n9207: Whether respondent is familiar with the plans of André van der Louw for a new social democratic party / Whether respondent should vote on such a new party / Whether respondent should prefer a private disability insurance if the Disablement Insurance Act < WAO > payments decrease / Respondents opinion about a limited social security system < mini Stelsel > / Whether respondent expects ever to appeal to a social security payment. n9209: National anthem "Wilhelmus" / Knowing the words, singing / Pride in being Dutch / Present and preferred leadership of the social-democratic party < PvdA > / Whether respondent ever voted for the social democratic party < PvdA > / Continuation of the present coalition after the next parliamentary elections or preference for a new coalition. n9210: Preferred political leader / Feelings of sympathy for fifteen specifically named politicians / Respondent's voting behaviour in the past / Future voting behaviour of respondent. n9211: Satisfaction about international organizations like the European Community, NATO, United Nations / The NATO membership of the Netherlands / NATO membership of former members of the Warsaw Pact like Russia, Poland and Czechoslovakia / Role of the Upper Chamber < Eerste Kamer > of the Parliament. n9212: Respondent's ideas about the vanishing of communism in Russia / Whether respondent feels familiar with the Christian, Socialist or Liberal denomination in politics / Quality of the welfare state. n9214: Knowledge of party conference of PvdA / Expectations on well-being of social democratic party < PvdA > / Who has been elected new chairman of PvdA / who has been elected new vice-chairman of PvdA / Ever voted for PvdA / Will ever vote for PvdA / What about the idea of a new social democratic party? / Respondent's idea about developments in level of social security payments. n9216: Voting behaviour parliamentary elections 1989 / Respondent satisfied with political party voted for at latest Parliamentary elections 1989 / Preferred items on the parliamentary agenda: environment / Defense budget / Housing / Unemployment / Cuts in government expenditures / Crime / Discrimination / Immigration / Traffic / Public transport / Respondent's opinion about, interest in Tweede Kamer < House of Commons > / Suggestions to improve work of Parliament for the public / Interest in attending meetings of Parliament / Importance of work in Parliament / Work of Parliament on TV interesting. n9219: Recent strikes and whether respondent was bothered by it / Which union most responsible for strikes / Employers who don't discuss enough about demands of unions also responsible for strikes / Respondent choosing side of people on strike or employers / Right to strike for the police, the railways, bus, tram, subway, hospitals, dairy factories, and the Post Office. n9220: Respondent's income situation / Whether respondent has an additional income / Whether respondent is getting a social security benefit / Satisfaction with income / Effect of 1 percent income reduction. n9222: Limitation of the Disablement Insurance Act < WAO > / Whether the present coalition will stay on till the elections of 1993 and whether respondent prefers the continuation of the present coalition till that time / Preferred political leader of list of 15 named persons. n9225: Which political party is having the most competent administrators / Respondent's personal experience with politicians / Whether respondent ever visited a political meeting / Membership of a political party / Respondent's interest in politics / Whether respondent is qualified to vote. n9226: Convention of Maastricht concerning the development of the European Community / Replacement of Dutch guilder by the ECU / Replacement of national banks by one central European bank / Expectations concerning the execution of the plans of the Maastricht Convention. n9229: Left-right scaling of opinions about a number of social problems and respondent's own opinion about those problems: junks in railway stations / Cuts on unemployment benefits / Curing or punishing sexual criminals / Care about pollution / Living next to immigrants / Euthanasia / Treating homosexuals / Working with ethnic minorities / Death penalty for serious crimes / Equal treatment of both sexes. n9232: Vote recall / Ever voted for PvdA, KVP, VVD, CDA, D66 / Voting intention Parliamentary elections of 1994 / When voting for particular person necessary : who? / Membership of a political party. n9234: Frequency of watching television / Respondent's opinion about TV personalities: a list of 50 TV personalities was shown. n9239: Whether respondent listened to the Queen's Speech via radio or TV / Whether respondent understood the presentation of the government policy / Respondent's expectations concerning the national economy, employment, social security / Respondent's personal financial situation / Necessity of the government's retrenchments / Respondent's opinion about the government policy in general / Whether the present coalition should resign or stay on. n9241: Overpopulation in the Netherlands and worldwide / Measures against overpopulation: birth-control / Birth-control in poor areas / Free contraceptives / Education on agriculture / Emigration / No immigration foreign labour force / "tax" on more than two children. n9247: Law against smoking in public places in France / Preference for introduction of a similar law in the Netherlands / Fines for breaking anti-smoking law / Expectations concerning compliance with such a law in the Netherlands / Whether respondent is smoking or ever smoked for a longer period. n9248: Expectations for 1993 concerning: respondent's personal life, strikes, labour conflicts, international conflicts, a third world war, number of unemployed in the Netherlands, economic situation in the Netherlands < compared with 1992 >, and respondent's financial situation < compared with 1992 >.

The Six Country Immigrant Integration Comparative Survey (SCIICS) is a large-scale telephone survey conducted in 2008. The aim was to collect comparable data across European countries (the Netherlands, Germany, France, Belgium, Austria and Sweden) with different integration policies as well as variation on other variables to enable testing for contextual effects. SCIICS was designed to maximize cross-national data comparability by reducing sources of confounding variance. It employs a double-comparative design which looks at two immigrant groups (Turks and Moroccans) and a comparison group of natives from the six countries mentioned above. The immigrant target groups have been narrowed down to people who migrated in the guest-worker era (before 1975) and their children and grandchildren who were either born in the survey country or moved there before turning 18. To further increase comparability, half of the sample is subjected to an additional regional selection criterion having an origin in East- or Central Anatolian provinces in Turkey or the former Spanish protectorate in Morocco. The sample was drawn from online telephone directories using onomastic methods. Mobile phone numbers were included as much as possible. In total, nearly 9,000 completed surveys were collected (3,373 native; 3,344 Turkish origin; 2,204 Moroccan origin).

Characteristics of undocumented migrants and uninsured legal residents tested for HCV (N = 435) by HCV status, in Amsterdam, the Netherlands, October 2018- October 2019.

Characteristics of undocumented migrants and uninsured legal residents tested for HBV (N = 438) by HBV status, in Amsterdam, the Netherlands, October 2018- October 2019.

Aim: The aim of this study was to develop a self-assessment instrument to help palliative care researchers assess and find ways to improve their projects' diversity responsiveness in light of the aging migrant population, and determine whether in addition to older migrants other groups should be included in the instrument's focus.

Methods: After developing a concept instrument based on the standards for equity in healthcare for migrants and other vulnerable groups, literature review and interviews with palliative care researchers, we conducted a Delphi study to establish the content of the self-assessment instrument and used think aloud methods in a study involving seven projects for usability testing of the self-assessment instrument.

Results: A Delphi panel of 22 experts responded to a questionnaire consisting of 3 items concerning the target group and 30 items on diversity responsiveness measures. Using an a priori set consensus rate of 75% to include items in the self-assessment instrument, experts reached consensus on 25 out of 30 items on diversity responsiveness measures. Findings furthermore indicate that underserved groups in palliative care other than migrant patients should be included in the instrument's focus. This was stressed by both the experts involved in the Delphi study and the researchers engaged in usability testing. Usability testing additionally provided insights into learnability, error-rate, satisfaction and applicability of the instrument, which were used to revise the self-assessment instrument.
Conclusions: The final self-assessment instrument includes a list of 23 diversity responsiveness measures to be taken at varying stages of a project, and targets all groups at risk of being underrepresented. This instrument can be used in palliative care research to assess diversity responsiveness of projects and instigate action for improvement

Labour-market position of young Turkish and Moroccan immigrants. Duration of residence in the Netherlands or other European country / education and training / job history / job satisfaction / job conditions / unemployment / job finding / job of parents, husband or wife / fluency in Dutch language / housekeeping / leisure activities / contacts with Dutch people / organizational membership / remigration / legal residence status. Background variables: basic characteristics/ place of birth/ residence/ housing situation/ occupation/employment/ income/capital assets/ education/ organizational membership

Data collected on all German migrants that migrated to the Dutch city Utrecht between 1850-1900. Data have been collected from the population registers. Additional information has been added from other sources.

These data files contain data on 2188 German migrants who lived in Utrecht between 1850-1900, their relatives, and the people they shared a house with.

The file 'bevolking' is the main file, the files 'namen' and 'kids' are the related files.

This is the data set that has been used to write: Marlou Schrover, Een kolonie van Duitsers. Groepsvorming onder Duitse immigranten in Utrecht in de negentiende eeuw (Amsterdam 2002). This book has been added to the dataset on August 24th, 2016.

The files were converted from fp7 to fmp12, and uploaded to this dataset on August 24th, 2016. Both the fp7 and the fmp12 files are available to registered users.