12 datasets found
  1. Germany DE: Net Migration

    • ceicdata.com
    Updated Mar 15, 2023
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    CEICdata.com (2023). Germany DE: Net Migration [Dataset]. https://www.ceicdata.com/en/germany/population-and-urbanization-statistics/de-net-migration
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    Dataset updated
    Mar 15, 2023
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2012 - Dec 1, 2023
    Area covered
    Germany
    Variables measured
    Population
    Description

    Germany DE: Net Migration data was reported at 36,954.000 Person in 2024. This records a decrease from the previous number of 609,553.000 Person for 2023. Germany DE: Net Migration data is updated yearly, averaging 212,822.000 Person from Dec 1960 (Median) to 2024, with 65 observations. The data reached an all-time high of 1,175,283.000 Person in 2015 and a record low of -754,469.000 Person in 1998. Germany DE: Net Migration data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Germany – Table DE.World Bank.WDI: Population and Urbanization Statistics. Net migration is the net total of migrants during the period, that is, the number of immigrants minus the number of emigrants, including both citizens and noncitizens.;United Nations Population Division. World Population Prospects: 2024 Revision.;Sum;

  2. Germany Immigration: Asia

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2025). Germany Immigration: Asia [Dataset]. https://www.ceicdata.com/en/germany/migration/immigration-asia
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    Dataset updated
    Jan 15, 2025
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2012 - Dec 1, 2023
    Area covered
    Germany
    Variables measured
    Migration
    Description

    Germany Immigration: Asia data was reported at 376,968.000 Person in 2023. This records an increase from the previous number of 331,110.000 Person for 2022. Germany Immigration: Asia data is updated yearly, averaging 99,635.000 Person from Dec 1964 (Median) to 2023, with 60 observations. The data reached an all-time high of 687,848.000 Person in 2015 and a record low of 12,779.000 Person in 1968. Germany Immigration: Asia data remains active status in CEIC and is reported by Statistisches Bundesamt. The data is categorized under Global Database’s Germany – Table DE.G005: Migration.

  3. w

    Panel Data on International Migration 1975-2000 - Australia, Canada,...

    • microdata.worldbank.org
    • datacatalog.ihsn.org
    • +2more
    Updated Apr 27, 2021
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    Maurice Schiff and Mirja Channa Sjoblom (2021). Panel Data on International Migration 1975-2000 - Australia, Canada, Germany, France, United Kingdom, United States [Dataset]. https://microdata.worldbank.org/index.php/catalog/390
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    Dataset updated
    Apr 27, 2021
    Dataset authored and provided by
    Maurice Schiff and Mirja Channa Sjoblom
    Time period covered
    1975 - 2000
    Area covered
    Canada, United States, Australia, France, United Kingdom, Germany
    Description

    Abstract

    This dataset, a product of the Trade Team - Development Research Group, is part of a larger effort in the group to measure the extent of the brain drain as part of the International Migration and Development Program. It measures international skilled migration for the years 1975-2000.

    The methodology is explained in: "Tendance de long terme des migrations internationals. Analyse à partir des 6 principaux pays recerveurs", Cécily Defoort.

    This data set uses the same methodology as used in the Docquier-Marfouk data set on international migration by educational attainment. The authors use data from 6 key receiving countries in the OECD: Australia, Canada, France, Germany, the UK and the US.

    It is estimated that the data represent approximately 77 percent of the world’s migrant population.

    Bilateral brain drain rates are estimated based observations for every five years, during the period 1975-2000.

    Geographic coverage

    Australia, Canada, France, Germany, UK and US

    Kind of data

    Aggregate data [agg]

    Mode of data collection

    Other [oth]

  4. d

    Data from: German Socio-Economic Panel

    • dknet.org
    • neuinfo.org
    • +2more
    Updated Jul 31, 2024
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    (2024). German Socio-Economic Panel [Dataset]. http://identifiers.org/RRID:SCR_013140
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    Dataset updated
    Jul 31, 2024
    Description

    A wide-ranging representative longitudinal study of private households that permits researchers to track yearly changes in the health and economic well-being of older people relative to younger people in Germany from 1984 to the present. Every year, there were nearly 11,000 households, and more than 20,000 persons sampled by the fieldwork organization TNS Infratest Sozialforschung. The data provide information on all household members, consisting of Germans living in the Old and New German States, Foreigners, and recent Immigrants to Germany. The Panel was started in 1984. Some of the many topics include household composition, occupational biographies, employment, earnings, health and satisfaction indicators. In addition to standard demographic information, the GSOEP questionnaire also contains objective measuresuse of time, use of earnings, income, benefit payments, health, etc. and subjective measures - level of satisfaction with various aspects of life, hopes and fears, political involvement, etc. of the German population. The first wave, collected in 1984 in the western states of Germany, contains 5,921 households in two randomly sampled sub-groups: 1) German Sub-Sample: people in private households where the head of household was not of Turkish, Greek, Yugoslavian, Spanish, or Italian nationality; 2) Foreign Sub-Sample: people in private households where the head of household was of Turkish, Greek, Yugoslavian, Spanish, or Italian nationality. In each year since 1984, the GSOEP has attempted to re-interview original sample members unless they leave the country. A major expansion of the GSOEP was necessitated by German reunification. In June 1990, the GSOEP fielded a first wave of the eastern states of Germany. This sub-sample includes individuals in private households where the head of household was a citizen of the German Democratic Republic. The first wave contains 2,179 households. In 1994 and 1995, the GSOEP added a sample of immigrants to the western states of Germany from 522 households who arrived after 1984, which in 2006 included 360 households and 684 respondents. In 1998 a new refreshment sample of 1,067 households was selected from the population of private households. In 2000 a sample was drawn using essentially similar selection rules as the original German sub-sample and the 1998 refreshment sample with some modifications. The 2000 sample includes 6,052 households covering 10,890 individuals. Finally, in 2002, an overrepresentation of high-income households was added with 2,671 respondents from 1,224 households, of which 1,801 individuals (689 households) were still included in the year 2006. Data Availability: The data are available to researchers in Germany and abroad in SPSS, SAS, TDA, STATA, and ASCII format for immediate use. Extensive documentation in English and German is available online. The SOEP data are available in German and English, alone or in combination with data from other international panel surveys (e.g., the Cross-National Equivalent Files which contain panel data from Canada, Germany, and the United States). The public use file of the SOEP with anonymous microdata is provided free of charge (plus shipping costs) to universities and research centers. The individual SOEP datasets cannot be downloaded from the DIW Web site due to data protection regulations. Use of the data is subject to special regulations, and data privacy laws necessitate the signing of a data transfer contract with the DIW. The English Language Public Use Version of the GSOEP is distributed and administered by the Department of Policy Analysis and Management, Cornell University. The data are available on CD-ROM from Cornell for a fee. Full instructions for accessing GSOEP data may be accessed on the project website, http://www.human.cornell.edu/che/PAM/Research/Centers-Programs/German-Panel/cnef.cfm * Dates of Study: 1984-present * Study Features: Longitudinal, International * Sample Size: ** 1984: 12,290 (GSOEP West) ** 1990: 4,453 (GSOEP East) ** 2000: 20,000+ Links: * Cornell Project Website: http://www.human.cornell.edu/che/PAM/Research/Centers-Programs/German-Panel/cnef.cfm * GSOEP ICPSR: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/00131

  5. g

    Adult Germans with a migration background in North Rhine-Westphalia and...

    • gimi9.com
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    Adult Germans with a migration background in North Rhine-Westphalia and Germany by gender | gimi9.com [Dataset]. https://gimi9.com/dataset/eu_af6419aa-71a7-5c95-a8c1-45e6a416ebad/
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    Area covered
    North Rhine-Westphalia, Germany
    Description

    This statistic shows the proportion of Germans with an immigrant background who are of legal age and who are eligible to vote for the Bundestag and Landtag in North Rhine-Westphalia in comparison with Germany by gender.

  6. t

    Goerres, Achim, Spies, Dennis C, Mayer, Sabrina J (2020). Dataset: Das...

    • service.tib.eu
    Updated Nov 29, 2024
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    (2024). Goerres, Achim, Spies, Dennis C, Mayer, Sabrina J (2020). Dataset: Das Wahlverhalten der Deutschen mit Migrationshintergrund, qualitative Phase. Transkripte der Fokusgruppeninterviews. https://doi.org/10.1594/PANGAEA.919342 [Dataset]. https://service.tib.eu/ldmservice/dataset/png-doi-10-1594-pangaea-919342
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    Dataset updated
    Nov 29, 2024
    Area covered
    Germany
    Description

    DE: Dieser Datensatz besteht aus den Transkripten von vier Fokusgruppeninterviews der Migrantenwahlstudie. Ziel des Projektes war es, für die Bundestagswahl 2017 die erste deutsche Wahlstudie unter deutschen Staatsbürger/innen mit Migrationshintergrund durchzuführen, d.h. unter solchen Personen, die entweder selbst nach Deutschland immigriert sind oder die mindestens einen Elternteil mit eigener Migrationserfahrung haben. Die Migrantenwahlstudie umfasst eine qualitative und eine quantitative Phase. Ziel der ersten qualitativen Phase (Oktober 2016 bis Juli 2017) war der explorative Zugang zur Themen- und Kandidatenorientierung von Migrant/innen, um die Ergebnisse für eine Publikation sowie die Fragebogenentwicklung der quantitativen Phase zu nutzen: Welche Themenfelder werden als wichtig erachtet? Welche Vorstellung von Links-Rechts gibt es? Welche Kandidateneigenschaften sind besonders relevant? Wie stark ist die Bindung an das Herkunftsland? Als Methode haben wir dabei auf Gruppendiskussionen mit Russlanddeutschen zurückgegriffen, die in Duisburg und Köln durchgeführt wurden. Dabei haben wir mit etwa 5-6 Teilnehmer/innen jeweils knapp zwei Stunden lang diskutiert. Die Forschungsdaten der quantitativen Phase wurden beim Forschungsdatenzentrum GESIS archiviert. EN: This dataset is composed of the transcripts of four focus group interviews for the Immigrant German Election Study. The project aims to conduct the first Immigrant German Election Study for the federal election in 2017, targeting German citizens with an immigrant background, i.e. people who either migrated to Germany themselves (first generation) or have at least one parent who was born in another country (second generation). The Immigrant German Election Study encompasses a qualitative and a quantitative phase. The first qualitative stage of the project (October 2016 until July 2017) explored the issue and candidate orientations of migrants. The results were used for a publication as well as for the development of the questionnaire for the quantitative stage. The core questions are: Which political issues are classified as important to all Germans/all migrants from the same group? What political issues do Germans of immigrant origin perceive as "left" and "right"? What are the identity contents that Germans of migrant origin associate with being German? We used focus group interviews as the research method in the Duisburg/Cologne area that consisted of 5-6 participants each and lasted for about 90 minutes.The research data originating from the quantitative phase have been archived at GESIS Data Archive.

  7. Z

    URPEACE - Basel

    • data.niaid.nih.gov
    • zenodo.org
    Updated Jul 11, 2024
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    Dijkema, Claske (2024). URPEACE - Basel [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_8054865
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    Dataset updated
    Jul 11, 2024
    Dataset authored and provided by
    Dijkema, Claske
    Area covered
    Basel
    Description

    This study aims to contribute to knowledge about the peace-building agency of civilian actors in marginalized social-housing neighborhoods, who deal with the consequences of terrorist violence in European cities. The bulk of peace and conflict studies literature has provided insight in the dynamics of violence rather than peace. The innovative character of this study therefore is that it interprets existing and new data on dealing with violence with a novel approach, that of geographies of peace. This innovative approach breaks with the tendency of peace and conflict studies to focus on the Global South, state processes and armed conflict and makes it very relevant for studying initiatives in European cities that deal with the aftermaths of paroxysmal violence. The study draws on data collected in three different cities: Grenoble, Freiburg and Brcko. This dataset concerns the data that has been collected in the region of Freiburg (DE).

    The title of the sub-project was "Everyday Peace2 and sought to answer how peace is understood, experienced, and lived by migrant women at different stages of an asylum procedure in Germany.

    The data is collected by Leonie Bozenhardt and Felicitas Winker under the supervision of Claske Dijkema, in the context of a Research Lab in the MA program Changing Societies at the University of Basel (2021-2022).

    “Everyday Peace” is a participatory research project conducted by students from the University of Basel. It is a part of the Horizon 2020 funded URPEACE project that is interested in urban peace-making and the peace-building agency of stigmatized civilian actors in European cities dealing with the consequences of violence.

    The everyday peace sub-project invited migrant women at different stages of an asylum procedure in Germany to a conversation throughout a workshop series. The aim is gain knowledge about how peace is understood, experienced, and manifested in migrants` everyday lives in Germany. The research is dedicated to finding out more about how peace is perceived and experienced in the country of arrival, instead of looking at the countries of origin. On the one hand this approach offers a personal insight of the women into very individual ideas about and experiences of peace in contrast to only looking at peace as the absence of war; and on the other hand, it helps to identify overlapping experiences and concepts. We conducted two focus groups, working with migrant women from the area around a city in Southern Germany. Focus group discussions give the opportunity to concentrate on the exchange among the participants. The aim of this project is to improve knowledge about different understandings of peace and the challenges to peace in migrants´ lives in Germany.

    The research project “Everyday Peace – How is peace understood, experienced and manifested in migrants’ everyday lives in Germany” was conducted between November 2021 and April 2022 by two students from the University of Basel. Within that period two focus groups were formed and brought together for a total of four workshops; each group participated in two workshops within a week’s time and expressed themselves about how peace is understood, experienced, and manifested in their everyday lives. The workshops took place in Freiburg im Breisgau and each meeting lasted around two to three hours and was audio recorded. To understand how people feel and think about the subject, each workshop day was based on a participatory research method. The first workshop day included certain aspects of the game “Dixit” as a photo elicitation and during the second workshop day the participants created a “Relief Map”. While methods will be described later in depth, it can be already mentioned that the students not only took on the role as researcher but also as a participant themselves and moderator. Furthermore, outside of the workshops one is still being the social worker of two participants of Group A.

    Both student researchers have a professional background in social work in contexts of migration and they could draw on already existing and trust-based relationships. The snowball method was used to find additional participants. The used method is described in detail in the document “Research Lab Report Winker and Bozenhardt”. This method led to the formation of two groups of women, one from central and west-Africa and the other from Afghanistan. Their legal perspectives to stay in Germany differed greatly. A list of participants, with their pseudonym, country of origin, age, political status etc. is among the uploaded documents. They have all signed a statement that the discussions could be recorded and could be made public under the condition that the results were pseudonymized. In the transcripts all names have been pseudonymized. The pseudonyms have been chosen by the participants themselves.

    This database contains the transcripts of the focus groups that took place on:

    29 January 2022 (Workshop 1, Group A) 05 February 2022 (Workshop 2, Group A) 07 Mach 2022 (Workshop 1, Group B) 08 March 2022 (Workshop 2, Group B)

  8. c

    CHILDREN OF IMMIGRANTS LONGITUDINAL SURVEY IN THE NETHERLANDS (CILSNL) -...

    • datacatalogue.cessda.eu
    • ssh.datastations.nl
    • +1more
    Updated Dec 19, 2023
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    E. Jaspers; F. van Tubergen; M. Kalmijn (2023). CHILDREN OF IMMIGRANTS LONGITUDINAL SURVEY IN THE NETHERLANDS (CILSNL) - WAVE 3. FULL VERSION V3.4.0 [Dataset]. http://doi.org/10.17026/dans-xua-9bqb
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    Dataset updated
    Dec 19, 2023
    Dataset provided by
    Utrecht University
    University of Amsterdam
    Authors
    E. Jaspers; F. van Tubergen; M. Kalmijn
    Area covered
    Netherlands
    Description

    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.


    Date: 2013 (data collection)

  9. c

    Attitudes and Reported Experiences of the German Welfare State: A Panel...

    • datacatalogue.cessda.eu
    • search.gesis.org
    Updated Mar 15, 2023
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    Goerres, Achim; Kumlin, Staffan (2023). Attitudes and Reported Experiences of the German Welfare State: A Panel Study 2015 – 2016 – 2017 [Dataset]. http://doi.org/10.4232/1.13474
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    Dataset updated
    Mar 15, 2023
    Dataset provided by
    Institut für Politikwissenschaft, Universität Duisburg-Essen
    Department of Political Science, University of Oslo
    Authors
    Goerres, Achim; Kumlin, Staffan
    Time period covered
    Mar 25, 2015 - Jul 21, 2017
    Area covered
    Germany
    Measurement technique
    Self-administered questionnaire: Web-based (CAWI)
    Description

    The German Survey “Attitudes and Reported Experiences of the German Welfare State” is a joint project of the University of Duisburg-Essen, the University of Gothenburg, and the Institute for Social Research, Oslo. The data set has been developed with respect to an extensive comparability with a parallel study conducted in Norway (see Kumlin et al. 2017).

    Starting in 2015, information of 3,393 respondents from a German population sample was collected in three annually repeated waves until 2017. The main interest of the data collection lies on the temporal change of the data, whereas the sampling design, an online quota sample, does not allow any conclusions to be drawn about the underlying German population. The aim of this academic study is to create a high-quality panel data set, focusing on attitudes towards the welfare state within the German population. In addition, questions on political, religious, social and demographic topics were asked.
    Political participation in the last four years (participation in a demonstration, writing about political issues in a newspaper, online newspaper or blog, member of a political party, member of a trade union, member of another political organization); general social trust; group-related trust (Hartz IV recipients, richest people in Germany, people met for the first time, Germans without migration background, people with migration background from non-European countries, people with migration background from Eastern Europe); interest in politics; frequency of political discussions; frequency of political information; left-right self-ranking; attitude toward political asylum; attitude toward the right to social benefits for migrants; party affiliation; party voted for in the 2013 federal election; other party voted for in the 2013 federal election; actual voting behavior in 2013; party preference (Sunday question); party preference (Sunday question - open); retrospective voting behavior in the 2015 federal election; retrospective voting behavior in the 2015 federal election (open); probability of party choice (CDU/CSU, SPD, Bündnis90/Die Grünen, FDP, Die Linke, AfD, ALFA, NPD, Piratenpartei Deutschland); assessment of the living situation of various groups in Germany (pensioners and retirees, unemployed, families with children, single parents, recipients of disability pensions, recipients of Hartz IV, people with a migration background from European countries and from non-European countries); perceived personal risk in the next 12 months with regard to: unemployment, caring for family members, inability to work, divorce, parental leave, not enough money for household needs, pension due to reduced earning capacity; use of various facilities or services (family doctor, emergency doctor or emergency room in hospital, specialist, medical specialist, retirement or nursing home, home care by a private provider or by one of the welfare associations, rehabilitation center, public or private kindergarten, daycare center or day nursery, day nanny or day father, state elementary school without church orientation or with church orientation, private elementary school, open all-day care after school, secondary state school, secondary private school with church orientation, vocational training, college or university). with church orientation, private elementary school, open all-day care after school, secondary state school, secondary school with church orientation, secondary private school, vocational training, technical college or university); satisfaction with these facilities or services; personal experience with these facilities and services (staff worked quickly and efficiently, I got the support and help I was entitled to, staff were helpful and listened to me, I had the opportunity to influence the type of support and help I received, I had difficulty finding the right person to talk to, I was treated worse than most, I had the opportunity to choose between different facilities); use of transfer benefits (unemployment benefit 1, Hartz IV, sickness benefit, reduced earning capacity pension, early retirement pension, company pension, retirement or pension); framing experiment: Assessment of future levels in Germany in various areas of social security and provision of public services (health care, old-age pension and old-age pensions, support in case of temporary incapacity to work due to illness, unemployment benefits, social assistance/unemployment benefit II/basic income support, care for the elderly and sick, public child care in kindergartens/day nursery/daycare centers); evaluation of various strategies to adjust social benefits and services (lower the level of social benefits and services, raise general taxation levels, increase fees for the use of public services and contributions to social insurance, push recipients of social support more to look for and accept new jobs, offer better retraining and continuing education measures for the unemployed and sick,...

  10. f

    Data_Sheet_1_Police discrimination and police distrust among ethnic minority...

    • figshare.com
    • frontiersin.figshare.com
    pdf
    Updated Feb 13, 2024
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    Irena Kogan; Markus Weißmann; Jörg Dollmann (2024). Data_Sheet_1_Police discrimination and police distrust among ethnic minority adolescents in Germany.pdf [Dataset]. http://doi.org/10.3389/fsoc.2024.1231774.s001
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    pdfAvailable download formats
    Dataset updated
    Feb 13, 2024
    Dataset provided by
    Frontiers
    Authors
    Irena Kogan; Markus Weißmann; Jörg Dollmann
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Germany
    Description

    In light of ongoing debates about racially motivated police violence, this paper examines two separate but interrelated phenomena: instances of police discrimination and mistrust in police and the judicial system among ethnic minorities in Germany. Analyses are carried out based on waves 1, 3, and 5 of the CILS4EU-DE data collected among 14 to 20 year-old respondents in Germany. The focus of the paper lies on young men from the Middle East, as well as Northern and Sub-Saharan Africa, who—as our study demonstrates—tend to disproportionally more often report discrimination experiences and particularly low levels of trust in police and courts compared to other ethnic minorities and the majority populations in Germany, and partially also in comparison to their female counterparts. We also show that more frequent experiences of police discrimination are associated with greater distrust of the police and partially also with courts among young men from the Middle East, North and Sub-Saharan Africa. Female adolescents from similar backgrounds are also more distrustful of the police, but this is not explained by their own experiences of police discrimination.

  11. Kazakhstan No of Immigrants: Non CIS Countries: Germany

    • ceicdata.com
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    CEICdata.com, Kazakhstan No of Immigrants: Non CIS Countries: Germany [Dataset]. https://www.ceicdata.com/en/kazakhstan/number-of-immigrants-and-emigrants-by-country-annual/no-of-immigrants-non-cis-countries-germany
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    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2006 - Dec 1, 2017
    Area covered
    Kazakhstan
    Variables measured
    Migration
    Description

    Kazakhstan Number of Immigrants: Non CIS Countries: Germany data was reported at 225.000 Person in 2017. This records an increase from the previous number of 214.000 Person for 2016. Kazakhstan Number of Immigrants: Non CIS Countries: Germany data is updated yearly, averaging 511.000 Person from Dec 1997 (Median) to 2017, with 21 observations. The data reached an all-time high of 776.000 Person in 2003 and a record low of 169.000 Person in 2013. Kazakhstan Number of Immigrants: Non CIS Countries: Germany data remains active status in CEIC and is reported by The Agency of Statistics of the Republic of Kazakhstan. The data is categorized under Global Database’s Kazakhstan – Table KZ.G009: Number of Immigrants and Emigrants: by Country (Annual).

  12. f

    Data set.

    • plos.figshare.com
    bin
    Updated Jun 1, 2023
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    Maren Velte; Andrea Czermak; Andrea Grigat; Brigitte Haas-Gebhard; Anja Gairhos; Anita Toncala; Bernd Trautmann; Jochen Haberstroh; Bernd Päffgen; Kristin von Heyking; Sandra Lösch; Joachim Burger; Michaela Harbeck (2023). Data set. [Dataset]. http://doi.org/10.1371/journal.pone.0283243.s001
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    binAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Maren Velte; Andrea Czermak; Andrea Grigat; Brigitte Haas-Gebhard; Anja Gairhos; Anita Toncala; Bernd Trautmann; Jochen Haberstroh; Bernd Päffgen; Kristin von Heyking; Sandra Lösch; Joachim Burger; Michaela Harbeck
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    During the transition from Late Antiquity to the Middle Ages, the Roman Empire dissolved in the West and medieval empires were founded. There has been much discussion about the role that migration played in this transition. This is especially true for the formation of the Baiuvariian tribe and the founding of this tribal dukedom, which took place from the 5th to the 6th century in what is now Southern Bavaria (Germany). In this study, we aimed to determine the extent of immigration during the beginning of this transformation and to shed further light on its character. To achieve this goal, we analyzed stable isotope values of strontium, carbon, and nitrogen from the teeth and bones of over 150 human remains from Southern Germany, dating from around 500 AD. This group of individuals included women with cranial modifications (ACD) which can be found sporadically in the burial grounds of this period. Our results showed an above-average migration rate for both men and women in the second half of the 5th century. They also indicate that a foreign background may also be assumed for the women with ACD. The demonstrably different origins of the immigrants from isotopically diverse regions, and the identification of local differences in detectable migration rate, as well as indication for different timing of residential changes, highlight the complexity of immigration processes and the need for more studies at the regional level.

  13. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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CEICdata.com (2023). Germany DE: Net Migration [Dataset]. https://www.ceicdata.com/en/germany/population-and-urbanization-statistics/de-net-migration
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Germany DE: Net Migration

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Dataset updated
Mar 15, 2023
Dataset provided by
CEIC Data
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Time period covered
Dec 1, 2012 - Dec 1, 2023
Area covered
Germany
Variables measured
Population
Description

Germany DE: Net Migration data was reported at 36,954.000 Person in 2024. This records a decrease from the previous number of 609,553.000 Person for 2023. Germany DE: Net Migration data is updated yearly, averaging 212,822.000 Person from Dec 1960 (Median) to 2024, with 65 observations. The data reached an all-time high of 1,175,283.000 Person in 2015 and a record low of -754,469.000 Person in 1998. Germany DE: Net Migration data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Germany – Table DE.World Bank.WDI: Population and Urbanization Statistics. Net migration is the net total of migrants during the period, that is, the number of immigrants minus the number of emigrants, including both citizens and noncitizens.;United Nations Population Division. World Population Prospects: 2024 Revision.;Sum;

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