100+ datasets found
  1. Number of immigrants in Germany 2023, by country of origin

    • statista.com
    • flwrdeptvarieties.store
    Updated Jan 13, 2025
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    Number of immigrants in Germany 2023, by country of origin [Dataset]. https://www.statista.com/statistics/894238/immigrant-numbers-by-country-of-origin-germany/
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    Dataset updated
    Jan 13, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Germany
    Description

    The largest number of immigrants in Germany were from Ukraine, as of 2023. The top three origin countries were rounded up by Romania and Turkey. Immigrants are defined as having left a country, which may be their home country, to permanently reside in another. Upon arriving, immigrants do not hold the citizenship of the country they move to. Immigration in the EU All three aforementioned countries are members of the European Union, which means their citizens have freedom of movement between EU member states. In practice, this means that citizens of any EU member country may relocate between them to live and work there. Unrestricted by visas or residence permits, the search for university courses, jobs, retirement options, and places to live seems to be defined by an enormous amount of choice. However, even in this freedom of movement scheme, immigration may be hampered by bureaucratic hurdles or financial challenges. Prosperity with a question mark While Germany continues to be an attractive destination for foreigners both in and outside the European Union, as well as asylum applicants, it remains to be seen how current events might influence these patterns, whether the number of immigrants arriving from certain countries will shift. Europe’s largest economy is suffering. Climbing inflation levels in the last few months, as well as remaining difficulties from the ongoing coronavirus (COVID-19) pandemic are affecting global economic development. Ultimately, future immigrants may face the fact of moving from one struggling economy to another.

  2. G

    Germany DE: Refugee Population: by Country or Territory of Origin

    • ceicdata.com
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    CEICdata.com, Germany DE: Refugee Population: by Country or Territory of Origin [Dataset]. https://www.ceicdata.com/en/germany/population-and-urbanization-statistics/de-refugee-population-by-country-or-territory-of-origin
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    Dataset provided by
    CEICdata.com
    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: Refugee Population: by Country or Territory of Origin data was reported at 209.000 Person in 2023. This records an increase from the previous number of 162.000 Person for 2022. Germany DE: Refugee Population: by Country or Territory of Origin data is updated yearly, averaging 162.000 Person from Dec 1991 (Median) to 2023, with 33 observations. The data reached an all-time high of 1,297.000 Person in 1999 and a record low of 5.000 Person in 1992. Germany DE: Refugee Population: by Country or Territory of Origin 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. Refugees are people who are recognized as refugees under the 1951 Convention Relating to the Status of Refugees or its 1967 Protocol, the 1969 Organization of African Unity Convention Governing the Specific Aspects of Refugee Problems in Africa, people recognized as refugees in accordance with the UNHCR statute, people granted refugee-like humanitarian status, and people provided temporary protection. Asylum seekers--people who have applied for asylum or refugee status and who have not yet received a decision or who are registered as asylum seekers--are excluded. Palestinian refugees are people (and their descendants) whose residence was Palestine between June 1946 and May 1948 and who lost their homes and means of livelihood as a result of the 1948 Arab-Israeli conflict. Country of origin generally refers to the nationality or country of citizenship of a claimant.;United Nations High Commissioner for Refugees (UNHCR), Refugee Data Finder at https://www.unhcr.org/refugee-statistics/.;Sum;

  3. e

    Naturalisations of foreigners: Germany, years, national groups/nationality,...

    • data.europa.eu
    atom feed
    Updated Dec 28, 2022
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    (2022). Naturalisations of foreigners: Germany, years, national groups/nationality, gender, naturalisation type, legal bases [Dataset]. https://data.europa.eu/data/datasets/30303031-3235-4031-312d-303030360002
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    atom feedAvailable download formats
    Dataset updated
    Dec 28, 2022
    Area covered
    Germany
    Description

    Naturalisations of foreigners: Germany, years, national groups/nationality, gender, naturalisation type, legal bases

  4. c

    Cultural and Ethnic Identity of Migrant Workers in Intercontextual and...

    • datacatalogue.cessda.eu
    • da-ra.de
    Updated Mar 14, 2023
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    Alpheis, Hannes; Esser, Elke; Esser, Hartmut; Friedrichs, Jürgen; Hill, Paul B.; Kurosch, Ingo; Korte, Elke; Prust, Renate; Schnell, Rainer (2023). Cultural and Ethnic Identity of Migrant Workers in Intercontextual and Intergenerational Comparison [Dataset]. http://doi.org/10.4232/1.1580
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    Dataset updated
    Mar 14, 2023
    Dataset provided by
    Fachbereich 1, Fach Empirische Sozialforschung, Universität-Gesamthochschule Essen
    Institut für Soziologie, Universität Hamburg
    Fachbereich 1, Fach Empirische Sozialforschung, Universität-Gesamthochschule Essen
    Authors
    Alpheis, Hannes; Esser, Elke; Esser, Hartmut; Friedrichs, Jürgen; Hill, Paul B.; Kurosch, Ingo; Korte, Elke; Prust, Renate; Schnell, Rainer
    Time period covered
    May 1984 - Nov 1984
    Measurement technique
    Face-to-face interview: Paper-and-pencil (PAPI), Oral survey with standardized questionnaire
    Description

    The general situation of foreign workers in five large German cities.

    Topics: ethnic origin; year of arrival of parents in Germany or personal year of arrival; attendance at day nursery, kindergarten and school in the Federal Republic; length of school attendance; attendance and duration of a special preparation class for foreigners; time of first day at school in regular school; attendance at schools providing all-round education; school degree; proportion of foreigners in the school class; length of native language instruction along with regular instruction; occupation after conclusion of all-round education school. The following questions were posed to persons born in country of origin: regional origin and city size; school attendance and vocational training in country of origin; vocational training; current or last employment practiced; shift work; living together with parents; proportion of foreigners in the building, in the immediate residential surroundings and in the part of town; residence equipped with sanitary facilities; possession durable economic goods; presence of institutions for foreigners in the residential area; parents living in Germany; regional origin of father; school attendance of parents; number of children; number of children living in country of origin; religious practices in parental home and strictness of observing religious rules; educational goals of parents; decision-making structure within the family; reading newspapers from Germany or the country of origin; nutrition habits as in the native country; use of video films and listening to music in German or one´s own language; use of the German language or native language in conversations within the family; frequency of mutual visits with Germans; contacts with Germans, relatives, friends and acquaintances as well as place of residence of these persons; memberships; circle of friends; nationality of friends; frequency of getting together; help from the circle of friends with personal difficulties; cultural milieu in one´s circle of friends; agreement with friends on questions of religion and fashion; conversations about the situation as foreigner in Germany; conversations about religious matters; nationality of colleagues or other students; attitude to assimilation and integration; self-assessment of knowledge of German; knowledge of native language; perception of discrimination (scale); satisfaction with living conditions, school or occupational situation and the housing situation in Germany; identity assimilation; feelings of homelessness and feelings on visits to country of origin; instinctive ties to ethnic groups in country of origin; interest in participation in municipal elections; party preference; postmaterialism index; personal feelings of segregation; personal sympathy for various nationalities or assumed sympathy of the Germans for these nationalities; solidarity with the region, the city as well as the part of town; earlier places of residence; personal religiousness; attendance at a Koran school; sex role orientation; personal wish and plans for return of parents to country of origin; interest in living together with with Germans; personal investments in native country; judgement on one´s own situation in life given a return to country of origin in comparison to the current situation in Germany; number of children; nationality, place of residence and length of stay of spouse in Germany; religious affiliation of spouse; current occupation of spouse; detailed information on circle of friends; degree of relationship and nationality; length of stay in Germany; friends as advisers; language ability of friends; cultural and religious milieu in one´s circle of friends; sex role orientation of friends; identity assimilation of friends and number of contacts with friends; knowledge of events to improve the situation of foreigners or promote understanding of Germans and foreigners; participation in such events; status of residence permit; interest in acquisition of German citizenship; desired measures to improve the situation in life of foreigners in Germany.

    Scales: intolerance of ambiguity; anomy; brief German language test.

    Demography: age; sex; religious affiliation.

    Interviewer rating: length of interview; language ability of respondent; presence of others; disturbances during the interview by other persons; willingness of respondent to cooperate and conduct regarding the interviewer.

    Also encoded was: type of building and use of building; condition as well as age of building; industrial companies in vicinity of residential building; sub-unit of part of town; date of interview.

  5. G

    Germany DE: International Migrant Stock: % of Population

    • ceicdata.com
    Updated Feb 15, 2025
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    Germany DE: International Migrant Stock: % of Population [Dataset]. https://www.ceicdata.com/en/germany/population-and-urbanization-statistics/de-international-migrant-stock--of-population
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    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEICdata.com
    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, 1990 - Dec 1, 2015
    Area covered
    Germany
    Variables measured
    Population
    Description

    Germany DE: International Migrant Stock: % of Population data was reported at 14.879 % in 2015. This records an increase from the previous number of 14.429 % for 2010. Germany DE: International Migrant Stock: % of Population data is updated yearly, averaging 11.828 % from Dec 1990 (Median) to 2015, with 6 observations. The data reached an all-time high of 14.879 % in 2015 and a record low of 7.518 % in 1990. Germany DE: International Migrant Stock: % of Population 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. International migrant stock is the number of people born in a country other than that in which they live. It also includes refugees. The data used to estimate the international migrant stock at a particular time are obtained mainly from population censuses. The estimates are derived from the data on foreign-born population--people who have residence in one country but were born in another country. When data on the foreign-born population are not available, data on foreign population--that is, people who are citizens of a country other than the country in which they reside--are used as estimates. After the breakup of the Soviet Union in 1991 people living in one of the newly independent countries who were born in another were classified as international migrants. Estimates of migrant stock in the newly independent states from 1990 on are based on the 1989 census of the Soviet Union. For countries with information on the international migrant stock for at least two points in time, interpolation or extrapolation was used to estimate the international migrant stock on July 1 of the reference years. For countries with only one observation, estimates for the reference years were derived using rates of change in the migrant stock in the years preceding or following the single observation available. A model was used to estimate migrants for countries that had no data.;United Nations Population Division, Trends in Total Migrant Stock: 2008 Revision.;Weighted average;

  6. e

    Acquisition of German nationality: Germany,Years, Nationality, Types of...

    • data.europa.eu
    atom feed
    Updated Dec 28, 2022
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    (2022). Acquisition of German nationality: Germany,Years, Nationality, Types of employment, Gender [Dataset]. https://data.europa.eu/data/datasets/30303031-3235-4031-312d-303030390002
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    atom feedAvailable download formats
    Dataset updated
    Dec 28, 2022
    Area covered
    Germany
    Description

    Acquisition of German nationality: Germany,Years, Nationality, Types of employment, Gender

  7. G

    Germany DE: Refugee Population: by Country or Territory of Asylum

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2025). Germany DE: Refugee Population: by Country or Territory of Asylum [Dataset]. https://www.ceicdata.com/en/germany/population-and-urbanization-statistics/de-refugee-population-by-country-or-territory-of-asylum
    Explore at:
    Dataset updated
    Jan 15, 2025
    Dataset provided by
    CEICdata.com
    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, 2011 - Dec 1, 2022
    Area covered
    Germany
    Variables measured
    Population
    Description

    Germany DE: Refugee Population: by Country or Territory of Asylum data was reported at 2,075,445.000 Person in 2022. This records an increase from the previous number of 1,255,694.000 Person for 2021. Germany DE: Refugee Population: by Country or Territory of Asylum data is updated yearly, averaging 578,866.000 Person from Dec 1960 (Median) to 2022, with 63 observations. The data reached an all-time high of 2,075,445.000 Person in 2022 and a record low of 83,500.000 Person in 1978. Germany DE: Refugee Population: by Country or Territory of Asylum 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. Refugees are people who are recognized as refugees under the 1951 Convention Relating to the Status of Refugees or its 1967 Protocol, the 1969 Organization of African Unity Convention Governing the Specific Aspects of Refugee Problems in Africa, people recognized as refugees in accordance with the UNHCR statute, people granted refugee-like humanitarian status, and people provided temporary protection. Asylum seekers--people who have applied for asylum or refugee status and who have not yet received a decision or who are registered as asylum seekers--are excluded. Palestinian refugees are people (and their descendants) whose residence was Palestine between June 1946 and May 1948 and who lost their homes and means of livelihood as a result of the 1948 Arab-Israeli conflict. Country of asylum is the country where an asylum claim was filed and granted.;United Nations High Commissioner for Refugees (UNHCR) and UNRWA through UNHCR's Refugee Data Finder at https://www.unhcr.org/refugee-statistics/.;Sum;

  8. Police Crime Statistics (PKS) - Crimes and nationality of non-German...

    • data.europa.eu
    csv
    Updated Nov 13, 2024
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    Landeskriminalamt Schleswig-Holstein (2024). Police Crime Statistics (PKS) - Crimes and nationality of non-German suspects [Dataset]. https://data.europa.eu/data/datasets/d1d7c95f-97cf-41d3-b269-3a7fe0f54fd5?locale=en
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    csvAvailable download formats
    Dataset updated
    Nov 13, 2024
    Dataset provided by
    Landeskriminalamt
    Authors
    Landeskriminalamt Schleswig-Holstein
    License

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

    Area covered
    Germany
    Description

    Notes for publication:

    The table presented is based on the data from the Police Crime Statistics (PKS) of the State of Schleswig-Holstein. These are the results of the police investigation before handing them over to the public prosecutor's office or the court. The PKS contains the illegal offences that have become known to the police, including the attempts threatened with punishment, the number of suspects identified and a number of other information on cases, victims or suspects. The data refer to a closed reporting year and are published annually for the previous calendar year.

    Table-specific information:

    Table 62 (crimes and nationality of non-German suspects)

    This dataset contains figures on non-German suspects by nationality recorded in Schleswig-Holstein in the corresponding reporting year.

    Structure of the table

    The following columns are included:

    • Key number of the offence - Crime key number (key of the respective offences or sum key)
    • Offence - plain text of the offence or the sum key
    • Non-German suspects - Sum of non-German suspects
    • Nationality - Number of nationalities
    • The preceding number in brackets (1) – (107) denotes the column numbering.

    Character set: Western European (Windows – 1252/WinLatin 1)

  9. M

    Germany Refugee Statistics 1960-2025

    • macrotrends.net
    csv
    Updated Feb 28, 2025
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    MACROTRENDS (2025). Germany Refugee Statistics 1960-2025 [Dataset]. https://www.macrotrends.net/global-metrics/countries/DEU/germany/refugee-statistics
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    csvAvailable download formats
    Dataset updated
    Feb 28, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

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

    Time period covered
    Dec 31, 1960 - Mar 26, 2025
    Area covered
    Germany
    Description

    Refugees are people who are recognized as refugees under the 1951 Convention Relating to the Status of Refugees or its 1967 Protocol, the 1969 Organization of African Unity Convention Governing the Specific Aspects of Refugee Problems in Africa, people recognized as refugees in accordance with the UNHCR statute, people granted refugee-like humanitarian status, and people provided temporary protection. Asylum seekers--people who have applied for asylum or refugee status and who have not yet received a decision or who are registered as asylum seekers--are excluded. Palestinian refugees are people (and their descendants) whose residence was Palestine between June 1946 and May 1948 and who lost their homes and means of livelihood as a result of the 1948 Arab-Israeli conflict. Country of asylum is the country where an asylum claim was filed and granted.

  10. T

    Thailand Visitor Arrivals by Nationality: Germany

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Thailand Visitor Arrivals by Nationality: Germany [Dataset]. https://www.ceicdata.com/en/thailand/visitor-arrivals-by-nationality/visitor-arrivals-by-nationality-germany
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    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEICdata.com
    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
    Thailand
    Variables measured
    Tourism Statistics
    Description

    Thailand Visitor Arrivals by Nationality: Germany data was reported at 849,367.000 Person in 2017. This records an increase from the previous number of 837,885.000 Person for 2016. Thailand Visitor Arrivals by Nationality: Germany data is updated yearly, averaging 516,659.000 Person from Dec 1995 (Median) to 2017, with 23 observations. The data reached an all-time high of 849,367.000 Person in 2017 and a record low of 341,827.000 Person in 1997. Thailand Visitor Arrivals by Nationality: Germany data remains active status in CEIC and is reported by Department of Tourism. The data is categorized under Global Database’s Thailand – Table TH.Q003: Visitor Arrivals: By Nationality.

  11. N

    New Germany, MN Population Breakdown By Race (Excluding Ethnicity) Dataset:...

    • neilsberg.com
    csv, json
    Updated Feb 21, 2025
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    Neilsberg Research (2025). New Germany, MN Population Breakdown By Race (Excluding Ethnicity) Dataset: Population Counts and Percentages for 7 Racial Categories as Identified by the US Census Bureau // 2025 Edition [Dataset]. https://www.neilsberg.com/research/datasets/758995da-ef82-11ef-9e71-3860777c1fe6/
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    json, csvAvailable download formats
    Dataset updated
    Feb 21, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

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

    Area covered
    Minnesota, New Germany
    Variables measured
    Asian Population, Black Population, White Population, Some other race Population, Two or more races Population, American Indian and Alaska Native Population, Asian Population as Percent of Total Population, Black Population as Percent of Total Population, White Population as Percent of Total Population, Native Hawaiian and Other Pacific Islander Population, and 4 more
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. To measure the two variables, namely (a) population and (b) population as a percentage of the total population, we initially analyzed and categorized the data for each of the racial categories idetified by the US Census Bureau. It is ensured that the population estimates used in this dataset pertain exclusively to the identified racial categories, and do not rely on any ethnicity classification. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the population of New Germany by race. It includes the population of New Germany across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of New Germany across relevant racial categories.

    Key observations

    The percent distribution of New Germany population by race (across all racial categories recognized by the U.S. Census Bureau): 96.39% are white, 0.34% are Black or African American, 0.52% are Asian, 1.03% are some other race and 1.72% are multiracial.

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

    Racial categories include:

    • White
    • Black or African American
    • American Indian and Alaska Native
    • Asian
    • Native Hawaiian and Other Pacific Islander
    • Some other race
    • Two or more races (multiracial)

    Variables / Data Columns

    • Race: This column displays the racial categories (excluding ethnicity) for the New Germany
    • Population: The population of the racial category (excluding ethnicity) in the New Germany is shown in this column.
    • % of Total Population: This column displays the percentage distribution of each race as a proportion of New Germany total population. Please note that the sum of all percentages may not equal one due to rounding of values.

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for New Germany Population by Race & Ethnicity. You can refer the same here

  12. e

    Migrations between Germany and abroad:Germany, years, nationality

    • data.europa.eu
    unknown
    Updated Jul 7, 2024
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    (2024). Migrations between Germany and abroad:Germany, years, nationality [Dataset]. https://data.europa.eu/data/datasets/30303031-3237-4031-312d-303030370000/embed
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    unknownAvailable download formats
    Dataset updated
    Jul 7, 2024
    Area covered
    Germany
    Description

    Migrations between Germany and abroad:Germany, years, nationality

  13. c

    Foreigners in Germany 1991

    • datacatalogue.cessda.eu
    • dbk.gesis.org
    • +3more
    Updated Mar 14, 2023
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    MARPLAN (2023). Foreigners in Germany 1991 [Dataset]. http://doi.org/10.4232/1.2291
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    Dataset updated
    Mar 14, 2023
    Dataset provided by
    Offenbach
    Authors
    MARPLAN
    Area covered
    Germany
    Measurement technique
    Oral survey with standardized questionnaire
    Description

    The social and economic situation of foreign workers in the Federal Republic.

    Topics: Nationality of respondent; place of birth in Germany or foreign country; duration of stay in Germany up to now; estimated length of time that will still be spent in Germany; visit to one´s native country since moving to Germany; visit to one´s native country in the previous year; planned visit to one´s native country 1991; use of various means of transport for trips to native country; being together with family members in Germany; number and ages of children in Germany; number of working members of household; number of persons over 15-years-old in household; family members in native country; ages of children in native country; greatest concerns and problems in Germany; interest in German citizenship; perceived attitude of Germans to guest workers at work; satisfaction with current job; most sympathetic party in Germany; average monthly expenditures for food and everyday necessities; preferred shopping places for food and everyday necessities as well as consumer items and toys; residential status; amount of rent; rent increase for base rent or additional costs in the last year; satisfaction with apartment/housing; number of school years; school degree in Germany or native country; type of school degree; self-assessment of knowledge of German (reading); completed vocational training as well as length of vocational training; car possession; car brand; new or used car; number of kilometers driven annually; net household income.

    Interviewer rating: presence of third persons during interview as well as influence through third parties; evaluation of communication; willingness of respondent to cooperate; knowledge of German and one´s own language.

    Also encoded was: state; city code.

  14. g

    Ausländer in Deutschland 1999 - 1. Welle

    • search.gesis.org
    • datacatalogue.cessda.eu
    • +1more
    Updated Jan 11, 2012
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    MARPLAN, Offenbach (2012). Ausländer in Deutschland 1999 - 1. Welle [Dataset]. http://doi.org/10.4232/1.11081
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    application/x-spss-sav(418298), application/x-stata-dta(335530)Available download formats
    Dataset updated
    Jan 11, 2012
    Dataset provided by
    GESIS search
    GESIS Data Archive
    Authors
    MARPLAN, Offenbach
    License

    https://www.gesis.org/en/institute/data-usage-termshttps://www.gesis.org/en/institute/data-usage-terms

    Time period covered
    May 3, 1999 - Jun 13, 1999
    Area covered
    Germany
    Variables measured
    bik -, fr1 -, fr2 -, fr3 -, fr4 -, fr5 -, fra -, kkz -, fr75 -, fr77 -, and 101 more
    Description

    The social and economic situation of foreign employees in the Federal Republic. Topics: nationality of respondent; ethnic affiliation of respondents from former Yugoslavia; place of birth in Germany or abroad; duration of stay in Germany up to now; estimated time period still to be spent in Germany; visits to one's native country since moving to Germany; visit to one's native country in the previous year; greatest concerns and problems in Germany; interest in German as well as dual citizenship; relinquishing previous citizenship for the sake of a German passport; perceived attitude of Germans to guest workers at work; satisfaction with current job; most sympathetic party in Germany; party preference (Sunday question); average monthly expenditures for food and everyday necessities; preferred shopping places for groceries and everyday necessities as well as consumer items; responsibility of respondent for housekeeping. Demography: marital status; size of household; number of working members of the household; number of persons under 18 years old in the household; further family members in Germany outside of personal household; family members in native country; type of employment; job title; income; age; residential status; amount of rent; rent increase for base rent or additional costs in the last year; satisfaction with residence or accomodation; number of years of school completed; school degree in Germany or native country; type of school degree; self-assessment of knowledge of German (reading); vocational training completed as well as length of vocational training; possession of a car; brand of car; new or used car; number of kilometers driven annually; net household income. Interviewer rating: presence of third persons during interview as well as influence through third parties; evaluation of communication; willingness of respondent to cooperate; knowledge of German and one's own language. Also encoded was: state; city size.

  15. M

    Germany Population 1950-2025

    • macrotrends.net
    • new.macrotrends.net
    csv
    Updated Feb 28, 2025
    + more versions
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    MACROTRENDS (2025). Germany Population 1950-2025 [Dataset]. https://www.macrotrends.net/global-metrics/countries/DEU/germany/population
    Explore at:
    csvAvailable download formats
    Dataset updated
    Feb 28, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

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

    Area covered
    Germany
    Description

    Chart and table of Germany population from 1950 to 2025. United Nations projections are also included through the year 2100.

  16. e

    Total migration across the borders of the federal states: Germany, years,...

    • data.europa.eu
    unknown
    + more versions
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    Total migration across the borders of the federal states: Germany, years, nationality, gender, age years Total migration across the borders of the federal states: Germany, years, nationality, gender, age years [Dataset]. https://data.europa.eu/88u/dataset/30303031-3237-4031-312d-303030320000
    Explore at:
    unknownAvailable download formats
    Area covered
    Germany
    Description

    Total migration across the borders of the federal states: Germany, years, nationality, gender, age years

  17. German Weimar Republic Data, 1919-1933

    • icpsr.umich.edu
    ascii, sas, spss
    Updated Dec 22, 2005
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    Inter-university Consortium for Political and Social Research (2005). German Weimar Republic Data, 1919-1933 [Dataset]. http://doi.org/10.3886/ICPSR00042.v1
    Explore at:
    spss, ascii, sasAvailable download formats
    Dataset updated
    Dec 22, 2005
    Dataset authored and provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/42/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/42/terms

    Time period covered
    1919 - 1933
    Area covered
    Germany
    Description

    This data collection contains electoral and demographic data at several levels of aggregation (kreis, land/regierungsberzirk, and wahlkreis) for Germany in the Weimar Republic period of 1919-1933. Two datasets are available. Part 1, 1919 Data, presents raw and percentagized election returns at the wahlkreis level for the 1919 election to the Nationalversammlung. Information is provided on the number and percentage of eligible voters and the total votes cast for parties such as the German National People's Party, German People's Party, Christian People's Party, German Democratic Party, Social Democratic Party, and Independent Social Democratic Party. Part 2, 1920-1933 Data, consists of returns for elections to the Reichstag, 1920-1933, and for the Reichsprasident elections of 1925 and 1932 (including runoff elections in each year), returns for two national referenda, held in 1926 and 1929, and data pertaining to urban population, religion, and occupations, taken from the German Census of 1925. This second dataset contains data at several levels of aggregation and is a merged file. Crosstemporal discrepancies, such as changes in the names of the geographical units and the disappearance of units, have been adjusted for whenever possible. Variables in this file provide information for the total number and percentage of eligible voters and votes cast for parties, including the German Nationalist People's Party, German People's Party, German Center Party, German Democratic Party, German Social Democratic Party, German Communist Party, Bavarian People's Party, Nationalist-Socialist German Workers' Party (Hitler's movement), German Middle Class Party, German Business and Labor Party, Conservative People's Party, and other parties. Data are also provided for the total number and percentage of votes cast in the Reichsprasident elections of 1925 and 1932 for candidates Jarres, Held, Ludendorff, Braun, Marx, Hellpach, Thalman, Hitler, Duesterburg, Von Hindenburg, Winter, and others. Additional variables provide information on occupations in the country, including the number of wage earners employed in agriculture, industry and manufacturing, trade and transportation, civil service, army and navy, clergy, public health, welfare, domestic and personal services, and unknown occupations. Other census data cover the total number of wage earners in the labor force and the number of female wage earners employed in all occupations. Also provided is the percentage of the total population living in towns with 5,000 inhabitants or more, and the number and percentage of the population who were Protestants, Catholics, and Jews.

  18. N

    Median Household Income by Racial Categories in Germany Township,...

    • neilsberg.com
    csv, json
    Updated Mar 1, 2025
    + more versions
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    Neilsberg Research (2025). Median Household Income by Racial Categories in Germany Township, Pennsylvania (, in 2023 inflation-adjusted dollars) [Dataset]. https://www.neilsberg.com/insights/germany-township-pa-median-household-income-by-race/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Mar 1, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

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

    Area covered
    Pennsylvania, Germany Township
    Variables measured
    Median Household Income for Asian Population, Median Household Income for Black Population, Median Household Income for White Population, Median Household Income for Some other race Population, Median Household Income for Two or more races Population, Median Household Income for American Indian and Alaska Native Population, Median Household Income for Native Hawaiian and Other Pacific Islander Population
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. To portray the median household income within each racial category idetified by the US Census Bureau, we conducted an initial analysis and categorization of the data. Subsequently, we adjusted these figures for inflation using the Consumer Price Index retroactive series via current methods (R-CPI-U-RS). It is important to note that the median household income estimates exclusively represent the identified racial categories and do not incorporate any ethnicity classifications. Households are categorized, and median incomes are reported based on the self-identified race of the head of the household. For additional information about these estimations, please contact us via email at research@neilsberg.com
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset presents the median household income across different racial categories in Germany township. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to gain insights into economic disparities and trends and explore the variations in median houshold income for diverse racial categories.

    Key observations

    Based on our analysis of the distribution of Germany township population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 93.77% of the total residents in Germany township. Notably, the median household income for White households is $105,417. Interestingly, White is both the largest group and the one with the highest median household income, which stands at $105,417.

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

    Racial categories include:

    • White
    • Black or African American
    • American Indian and Alaska Native
    • Asian
    • Native Hawaiian and Other Pacific Islander
    • Some other race
    • Two or more races (multiracial)

    Variables / Data Columns

    • Race of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in Germany township.
    • Median household income: Median household income, adjusting for inflation, presented in 2023-inflation-adjusted dollars

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for Germany township median household income by race. You can refer the same here

  19. c

    Integration and Political Participation

    • datacatalogue.cessda.eu
    • dbk.gesis.org
    • +1more
    Updated Mar 15, 2023
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    Neu, Viola; Konrad-Adenauer-Stiftung (2023). Integration and Political Participation [Dataset]. http://doi.org/10.4232/1.13184
    Explore at:
    Dataset updated
    Mar 15, 2023
    Dataset provided by
    Berlin
    Konrad-Adenauer-Stiftung, Berlin
    Authors
    Neu, Viola; Konrad-Adenauer-Stiftung
    Time period covered
    Jan 8, 2015 - Apr 18, 2015
    Area covered
    Germany
    Measurement technique
    Telephone interview: Computer-assisted (CATI), Telephone interview: CATI (Computer Assisted Telephone Interview)Dual Frame 60:40
    Description

    Identification. Political attitudes and behaviour. Social and political commitment and integration.

    Topics: Identification: country of birth; year of immigration to the Federal Republic of Germany; reasons for immigration; German citizenship; foreign citizenship; German citizenship by birth, as (late) ethnic German repatriate without or with a German citizenship, by naturalisation; year of naturalisation; previous nationality; nationality(s) of parents; country of birth of parents; desire to acquire German nationality; religion: denomination or religious community; religious group membership within Islam; pride and identification: equal opportunities in Germany; current territory of the country of origin of father and mother; identification with the country of origin of father and of mother; identification with Germany; invitation to join a German family; considerations about working in the German civil service; like to work in Germany; language spoken in the household; respect shown in Germany; more interest in politics in Germany or in the country of origin; main reasons for dissatisfaction.

    Political attitudes and behaviour:

    Electoral behaviour: party preference (Sunday question); alternative vote; party that the respondent would never vote for; proximity to party in Turkey (sympathy); party membership (party); political interest; satisfaction with democracy; Political knowledge: knowledge of the President of the Federal Republic of Germany; knowledge of Chancellor Angela Merkel´s party affiliation; political participation: personal opportunities for political participation in Germany and in the country of origin.

    Parties, politicians, political problems: sympathy scale for the parties SPD, CDU, CSU, Die Linke, Bündnis 90/Die Grünen, FDP, and AfD; currently the most important problem in Germany; problem-solving competence of the parties; better representation of personal interests by politicians with a migration background; naming the politician.

    Political fundamentalism, populism: agreement with various statements on politics, state and society (no more ideals in society, capitalism destroys the world, USA is behind the 09/11 attacks, those up there do what they want, rejection of homosexual friends, acceptance of violence in conflicts in every democracy, call for leaders, Russia as sole culprit in international conflicts, West prevents development of the Islamic world, shame on the family by Muslim woman marrying a Christian, insult as Muslim by Mohammed caricatures, literal compliance of the rules of the Koran, adaptation of the teachings of Islam to conditions of the modern world, events in Palestine typical for the contact with all Muslims, depraved sexual morals of the western society, eligibility of a Christian party for Muslims, Islam belongs to Germany, discrimination of non-German looking people, no party in Germany represents the interests of migrants, immigrants should adapt their behaviour to the German culture, who lives in Germany should learn the German language, Jews cannot be trusted).

    Social and political commitment: membership in a non-profit association or organisation in Germany; type of association or organisation; memberships in the country of origin; active participation in an association, initiative or self-help group in Germany; area of active participation; start of voluntary work (number of years); impetus for taking over the activity.

    Integration: most important problem of Germans with a migration background and foreigners in Germany; most suitable party for solving this problem; evaluation of the integration efforts of the CDU: sufficient commitment of the CDU for the integration of foreigners and Germans with a migration background as well as for repatriates and late repatriates.

    Demography: sex; age; attainment of the highest educational qualification in the country of origin or in Germany; highest school leaving certificate; highest vocational qualification; recognition of vocational training in Germany; employment status; occupational status; satisfaction with current or last occupational activity; current or last occupational status. last job corresponds to vocational training; desire to pursue the occupation learned; self-assessment of religiousness; frequency of churchgoing; accessibility: use of the mobile phone used for the interview exclusively alone, with others or only by chance; number of other mobile phone users aged 14 and over; landline connection in the household; number of mobile phone numbers; number of landline numbers; federal state; size of location; size of household; number of persons in the household under 18 years of age.

    Additionally coded: respondent ID; weighting factor; group membership (Germans without migration background, Germans with migration background or foreigners); political community size classes.

  20. N

    Median Household Income by Racial Categories in New Germany, MN (, in 2023...

    • neilsberg.com
    csv, json
    Updated Mar 1, 2025
    + more versions
    Share
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    Neilsberg Research (2025). Median Household Income by Racial Categories in New Germany, MN (, in 2023 inflation-adjusted dollars) [Dataset]. https://www.neilsberg.com/research/datasets/e0b5b0bd-f665-11ef-a994-3860777c1fe6/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Mar 1, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

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

    Area covered
    Minnesota, New Germany
    Variables measured
    Median Household Income for Asian Population, Median Household Income for Black Population, Median Household Income for White Population, Median Household Income for Some other race Population, Median Household Income for Two or more races Population, Median Household Income for American Indian and Alaska Native Population, Median Household Income for Native Hawaiian and Other Pacific Islander Population
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. To portray the median household income within each racial category idetified by the US Census Bureau, we conducted an initial analysis and categorization of the data. Subsequently, we adjusted these figures for inflation using the Consumer Price Index retroactive series via current methods (R-CPI-U-RS). It is important to note that the median household income estimates exclusively represent the identified racial categories and do not incorporate any ethnicity classifications. Households are categorized, and median incomes are reported based on the self-identified race of the head of the household. For additional information about these estimations, please contact us via email at research@neilsberg.com
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset presents the median household income across different racial categories in New Germany. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to gain insights into economic disparities and trends and explore the variations in median houshold income for diverse racial categories.

    Key observations

    Based on our analysis of the distribution of New Germany population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 96.39% of the total residents in New Germany. Notably, the median household income for White households is $88,750. Interestingly, White is both the largest group and the one with the highest median household income, which stands at $88,750.

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

    Racial categories include:

    • White
    • Black or African American
    • American Indian and Alaska Native
    • Asian
    • Native Hawaiian and Other Pacific Islander
    • Some other race
    • Two or more races (multiracial)

    Variables / Data Columns

    • Race of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in New Germany.
    • Median household income: Median household income, adjusting for inflation, presented in 2023-inflation-adjusted dollars

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for New Germany median household income by race. You can refer the same here

Share
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Email
Click to copy link
Link copied
Close
Cite
Number of immigrants in Germany 2023, by country of origin [Dataset]. https://www.statista.com/statistics/894238/immigrant-numbers-by-country-of-origin-germany/
Organization logo

Number of immigrants in Germany 2023, by country of origin

Explore at:
3 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Jan 13, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2023
Area covered
Germany
Description

The largest number of immigrants in Germany were from Ukraine, as of 2023. The top three origin countries were rounded up by Romania and Turkey. Immigrants are defined as having left a country, which may be their home country, to permanently reside in another. Upon arriving, immigrants do not hold the citizenship of the country they move to. Immigration in the EU All three aforementioned countries are members of the European Union, which means their citizens have freedom of movement between EU member states. In practice, this means that citizens of any EU member country may relocate between them to live and work there. Unrestricted by visas or residence permits, the search for university courses, jobs, retirement options, and places to live seems to be defined by an enormous amount of choice. However, even in this freedom of movement scheme, immigration may be hampered by bureaucratic hurdles or financial challenges. Prosperity with a question mark While Germany continues to be an attractive destination for foreigners both in and outside the European Union, as well as asylum applicants, it remains to be seen how current events might influence these patterns, whether the number of immigrants arriving from certain countries will shift. Europe’s largest economy is suffering. Climbing inflation levels in the last few months, as well as remaining difficulties from the ongoing coronavirus (COVID-19) pandemic are affecting global economic development. Ultimately, future immigrants may face the fact of moving from one struggling economy to another.

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