24 datasets found
  1. Germany DE: International Migrant Stock: % of Population

    • ceicdata.com
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    CEICdata.com, 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 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, 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;

  2. 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
    France, United Kingdom, United States, Australia, Canada, 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]

  3. e

    Integration Through social Contacts (2004) - Dataset - B2FIND

    • b2find.eudat.eu
    Updated Sep 28, 2019
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    (2019). Integration Through social Contacts (2004) - Dataset - B2FIND [Dataset]. https://b2find.eudat.eu/dataset/55cd4b89-0311-554c-b3fe-e3b6e4052aa3
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    Dataset updated
    Sep 28, 2019
    Description

    Intercultural leisure activities and forms of contact. Topics: 1. Evaluation of the individual events: type of event currently attended (music event, sports festival, parish festival, village parliament, 72-hour campaign, youth festival at the Hahn or youth centre); nationality (local, ethnic German or other nationality); length of stay in Germany; events already attended or intended to visit (music event, sports, parish festival, village parliament, 72-hour action, youth festival at the Hahn); reasons for the current event visit; type of people the respondent would like to meet at the event (more locals, more Aussiedler or nationality does not matter); new people already met; type of new people (locals, Aussiedler, foreigners); respondent likes the event. 2. Forms of contact and social relations: estimated percentage of ethnic German immigrants in Sohren; percentage of ethnic German immigrants in the neighbourhood; personal contact to ethnic German immigrants/local residents; since when contact; place or opportunity to get to know each other; ethnic German immigrants/local residents count among acquaintances, friends/clique, (living) partners; acceptance of people from different groups in the clique or as permanent relationship partners. 3. Leisure time in the youth house: frequency of visits to the youth house; satisfaction with the offer in the youth house; meeting of Aussiedler/ local youths in the youth house. 4. Values and preferences: consumption and possessions play an important role in the German society; importance of brand clothing, mobile phones, cars, jewellery, computers and internet; must master my life on my own; kind of life planning; car repair in the workshop, myself or with friends; willingness to help with building a house for family or friends; importance of different life goals and values; importance of these life goals and values for Aussiedler youth/ local youth. 5. Religion: male image?; religious community; religion still has personal significance; attitude towards the institution church; frequency of church attendance; belief in a life after death; greater interest by young people in religion and belief than would appear to be the case (religious spiral of silence). 6. Future perspective and local ties: future confidence; well-being in Sohren/ in the place of residence; intention to stay in the place of residence; responsible for well-being in the place of residence. 7. Politics and participation: political interest; preference for more local political topics or more general political topics; forms of political participation. 8. Relationship between Germans and foreigners: dispute between native and foreign youth; entry is made in the case of suggestions for improvement in the relationship between the two groups. Aussiedler were also asked: place of residence has become a new home; identity; self-assessment of German language skills; participation in German courses. Demographics: sex; age; highest school leaving certificate or school attendance with pupils; completed vocational training; job or unemployment. Interviewer rating: assessment of the respondents´ knowledge of German. Interkulturelle Freizeitaktivitäten und Kontaktformen. Themen: 1. Einschätzung der einzelnen Veranstaltungen: Art der aktuell besuchten Veranstaltung (Musik-Event, Sport-Fest, Pfarrfest, Dorfparlament, 72-Stunden-Aktion, Jugendfestival auf dem Hahn oder Jugendzentrum); Nationalität (Einheimischer, Aussiedler oder andere Nationalität); Aufenthaltsdauer in Deutschland; bereits besuchte Veranstaltungen bzw. beabsichtigter Besuch (Musik-Event, Sport, Pfarrfest, Dorfparlament, 72-Stunden-Aktion, Jugendfestival auf dem Hahn); Gründe für den aktuellen Veranstaltungsbesuch; Art von Leuten, die der Befragte auf der Veranstaltung kennenlernen möchte (eher Einheimische, eher Aussiedler oder Nationalität spielt keine Rolle); bereits neue Leute kennen gelernt; Art der neuen Leute (Einheimische, Aussiedler, Ausländer); Gefallen an der Veranstaltung. 2. Kontaktformen und soziale Beziehungen: Geschätzter Prozentanteil von Aussiedlern in Sohren; Aussiedleranteil in der Nachbarschaft; persönlicher Kontakt zu Aussiedlern/ Einheimischen; seit wann Kontakt; Ort bzw. Gelegenheit des Kennenlernens; Aussiedler/ Einheimische zählen zu Bekannten, Freunden/Clique, (Lebens-)Partner; Akzeptanz von Menschen aus verschiedenen Gruppen in der Clique bzw. als feste Beziehungspartner. 3. Freizeit im Jugendhaus: Besuchshäufigkeit des Jugendhauses; Zufriedenheit mit dem Angebot im Jugendhaus; Treffen von Aussiedlern/ einheimischen Jugendlichen im Jugendhaus- 4. Werte und Präferenzen: Konsum und Besitz spielen eine wichtige Rolle in der deutschen Gesellschaft; Wichtigkeit von Markenkleidung, Handy, Auto, Schmuck, Computer und Internet; muss mein Leben selber meistern; Art der Lebensplanung; Autoreparatur in der Werkstatt, selbst oder bei Freunden; Bereitschaft zur Hilfe beim Hausbau von Familie oder Freunden; Wichtigkeit verschiedener Lebensziele und Werte; Wichtigkeit dieser Lebensziele und Werte für Aussiedlerjugendliche/ die einheimischen Jugendlichen. 5. Religion: Männerbild; Religionsgemeinschaft; Religion hat noch persönliche Bedeutung; Haltung zur Institution Kirche; Kirchgangshäufigkeit; Glaube an ein Leben nach dem Tod; stärkeres Interesse von Jugendlichen an Religion und Glauben als es den Anschein hat (religiöse Schweigespirale). 6. Zukunftssicht und Ortsbindung: Zukunftszuversicht; Wohlfühlen in Sohren/ am Wohnort; Bleibeabsicht am Wohnort; selbst verantwortlich für Wohlfühlen am Wohnort. 7. Politik und Partizipation: Politikinteresse; Präferenz für eher lokale politische Themen oder eher allgemeine politische Themen; Formen der politischen Partizipation. 8. Verhältnis zwischen Deutschen und Ausländern: Streit zwischen einheimischen und Ausländerjugendlichen; Eintrag erfolgt bei Verbesserungsvorschlägen zum Verhältnis zwischen beiden Gruppen. Aussiedler wurden zusätzlich gefragt: Wohnort ist zur neuen Heimat geworden; Identität; Selbsteinschätzung der Deutschkenntnisse; Teilnahme an Deutschkursen. Demographie: Geschlecht; Alter; höchster Schulabschluss bzw. Schulbesuch bei Schülern; abgeschlossene Berufsausbildung; Job oder Arbeitslosigkeit. Interviewerrating: Einschätzung der Deutschkennnisse des Befragten.

  4. Germany DE: Share of Youth Not in Education, Employment or Training: Female:...

    • ceicdata.com
    Updated Mar 15, 2023
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    CEICdata.com (2023). Germany DE: Share of Youth Not in Education, Employment or Training: Female: % of Female Youth Population [Dataset]. https://www.ceicdata.com/en/germany/employment-and-unemployment/de-share-of-youth-not-in-education-employment-or-training-female--of-female-youth-population
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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
    Unemployment
    Description

    Germany DE: Share of Youth Not in Education, Employment or Training: Female: % of Female Youth Population data was reported at 7.735 % in 2023. This records an increase from the previous number of 7.143 % for 2022. Germany DE: Share of Youth Not in Education, Employment or Training: Female: % of Female Youth Population data is updated yearly, averaging 9.477 % from Dec 1983 (Median) to 2023, with 41 observations. The data reached an all-time high of 53.815 % in 1995 and a record low of 6.164 % in 2019. Germany DE: Share of Youth Not in Education, Employment or Training: Female: % of Female Youth 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: Employment and Unemployment. Share of youth not in education, employment or training (NEET) is the proportion of young people who are not in education, employment, or training to the population of the corresponding age group: youth (ages 15 to 24); persons ages 15 to 29; or both age groups.;International Labour Organization. “Labour Force Statistics database (LFS)” ILOSTAT. Accessed January 07, 2025. https://ilostat.ilo.org/data/.;Weighted average;

  5. A

    ‘Employment rates by gender and migration status’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Jan 19, 2022
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2022). ‘Employment rates by gender and migration status’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/data-europa-eu-employment-rates-by-gender-and-migration-status-45fb/latest
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    Dataset updated
    Jan 19, 2022
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

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

    Description

    Analysis of ‘Employment rates by gender and migration status’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from http://data.europa.eu/88u/dataset/0bac310a-2fd3-5b74-b8ad-458320421fbd on 19 January 2022.

    --- Dataset description provided by original source is as follows ---

    The employment ratio describes the number of persons in employment aged 15 to under 65 per 100 persons in the corresponding population group. The statistics show the share of employed persons in North Rhine-Westphalia compared with Germany and West Germany. Further key data are the distinction between gender and existing migrant background. According to the International Labour Organisation’s Labour Force (ILO) concept, employed persons are all persons aged 15 or more who have worked for at least one hour in the reference week for pay (wage, salary) or as self-employed persons or as family workers or are in a training relationship. It is irrelevant whether the activity is a regular or occasional activity. It follows from the ILO definition of employment that also persons with “minor employment” within the meaning of social security schemes, soldier(s)

    --- Original source retains full ownership of the source dataset ---

  6. Social media users in Germany 2020-2029

    • statista.com
    Updated Jun 26, 2025
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    Statista (2025). Social media users in Germany 2020-2029 [Dataset]. https://www.statista.com/statistics/568943/predicted-number-of-social-network-users-in-germany/
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    Dataset updated
    Jun 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Germany
    Description

    The number of social media users in Germany was forecast to continuously increase between 2024 and 2029 by in total **** million users (+***** percent). After the ninth consecutive increasing year, the social media user base is estimated to reach ***** million users and therefore a new peak in 2029. Notably, the number of social media users of was continuously increasing over the past years.The shown figures regarding social media users have been derived from survey data that has been processed to estimate missing demographics.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).

  7. Comparative Socio-Economic, Public Policy, and Political Data,1900-1960

    • icpsr.umich.edu
    ascii, sas, spss
    Updated Jan 12, 2006
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    Hofferbert, Richard I. (2006). Comparative Socio-Economic, Public Policy, and Political Data,1900-1960 [Dataset]. http://doi.org/10.3886/ICPSR00034.v1
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    spss, sas, asciiAvailable download formats
    Dataset updated
    Jan 12, 2006
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    Hofferbert, Richard I.
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/34/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/34/terms

    Area covered
    Canada, Switzerland, Mexico, France, Europe, Germany
    Description

    This study contains selected demographic, social, economic, public policy, and political comparative data for Switzerland, Canada, France, and Mexico for the decades of 1900-1960. Each dataset presents comparable data at the province or district level for each decade in the period. Various derived measures, such as percentages, ratios, and indices, constitute the bulk of these datasets. Data for Switzerland contain information for all cantons for each decennial year from 1900 to 1960. Variables describe population characteristics, such as the age of men and women, county and commune of origin, ratio of foreigners to Swiss, percentage of the population from other countries such as Germany, Austria and Lichtenstein, Italy, and France, the percentage of the population that were Protestants, Catholics, and Jews, births, deaths, infant mortality rates, persons per household, population density, the percentage of urban and agricultural population, marital status, marriages, divorces, professions, factory workers, and primary, secondary, and university students. Economic variables provide information on the number of corporations, factory workers, economic status, cultivated land, taxation and tax revenues, canton revenues and expenditures, federal subsidies, bankruptcies, bank account deposits, and taxable assets. Additional variables provide political information, such as national referenda returns, party votes cast in National Council elections, and seats in the cantonal legislature held by political groups such as the Peasants, Socialists, Democrats, Catholics, Radicals, and others. Data for Canada provide information for all provinces for the decades 1900-1960 on population characteristics, such as national origin, the net internal migration per 1,000 of native population, population density per square mile, the percentage of owner-occupied dwellings, the percentage of urban population, the percentage of change in population from preceding censuses, the percentage of illiterate population aged 5 years and older, and the median years of schooling. Economic variables provide information on per capita personal income, total provincial revenue and expenditure per capita, the percentage of the labor force employed in manufacturing and in agriculture, the average number of employees per manufacturing establishment, assessed value of real property per capita, the average number of acres per farm, highway and rural road mileage, transportation and communication, the number of telephones per 100 population, and the number of motor vehicles registered per 1,000 population. Additional variables on elections and votes are supplied as well. Data for France provide information for all departements for all legislative elections since 1936, the two presidential elections of 1965 and 1969, and several referenda held in the period since 1958. Social and economic data are provided for the years 1946, 1954, and 1962, while various policy data are presented for the period 1959-1962. Variables provide information on population characteristics, such as the percentages of population by age group, foreign-born, bachelors aged 20 to 59, divorced men aged 25 and older, elementary school students in private schools, elementary school students per million population from 1966 to 1967, the number of persons in household in 1962, infant mortality rates per million births, and the number of priests per 10,000 population in 1946. Economic variables focus on the Gross National Product (GNP), the revenue per capita per household, personal income per capita, income tax, the percentage of active population in industry, construction and public works, transportation, hotels, public administration, and other jobs, the percentage of skilled and unskilled industrial workers, the number of doctors per 10,000 population, the number of agricultural cooperatives in 1946, the average hectares per farm, the percentage of farms cultivated by the owner, tenants, and sharecroppers, the number of workhorses, cows, and oxen per 100 hectares of farmland in 1946, and the percentages of automobiles per 1,000 population, radios per 100 homes, and cinema seats per 1,000 population. Data are also provided on the percentage of Communists (PCF), Socialists, Radical Socialists, Conservatives, Gaullists, Moderates, Poujadists, Independents, Turnouts, and other political groups and p

  8. T

    Germany GDP per capita

    • tradingeconomics.com
    • jp.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 15, 2025
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    TRADING ECONOMICS (2025). Germany GDP per capita [Dataset]. https://tradingeconomics.com/germany/gdp-per-capita
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    xml, json, excel, csvAvailable download formats
    Dataset updated
    Jun 15, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    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 - Dec 31, 2024
    Area covered
    Germany
    Description

    The Gross Domestic Product per capita in Germany was last recorded at 44108.70 US dollars in 2024. The GDP per Capita in Germany is equivalent to 349 percent of the world's average. This dataset provides the latest reported value for - Germany GDP per capita - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  9. T

    Germany GDP Growth Rate

    • tradingeconomics.com
    • de.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jul 30, 2025
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    TRADING ECONOMICS (2025). Germany GDP Growth Rate [Dataset]. https://tradingeconomics.com/germany/gdp-growth
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    csv, json, excel, xmlAvailable download formats
    Dataset updated
    Jul 30, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jun 30, 1970 - Jun 30, 2025
    Area covered
    Germany
    Description

    The Gross Domestic Product (GDP) in Germany contracted 0.10 percent in the second quarter of 2025 over the previous quarter. This dataset provides the latest reported value for - Germany GDP Growth Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  10. r

    Data from: Financing the State: Government Tax Revenue from 1800 to 2012

    • researchdata.se
    • demo.researchdata.se
    Updated Feb 20, 2020
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    Per F. Andersson; Thomas Brambor (2020). Financing the State: Government Tax Revenue from 1800 to 2012 [Dataset]. http://doi.org/10.5878/nsbw-2102
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    (1146002)Available download formats
    Dataset updated
    Feb 20, 2020
    Dataset provided by
    Lund University
    Authors
    Per F. Andersson; Thomas Brambor
    Time period covered
    1800 - 2012
    Area covered
    North America, South America, Japan, Oceania, Europe
    Description

    This dataset presents information on historical central government revenues for 31 countries in Europe and the Americas for the period from 1800 (or independence) to 2012. The countries included are: Argentina, Australia, Austria, Belgium, Bolivia, Brazil, Canada, Chile, Colombia, Denmark, Ecuador, Finland, France, Germany (West Germany between 1949 and 1990), Ireland, Italy, Japan, Mexico, New Zealand, Norway, Paraguay, Peru, Portugal, Spain, Sweden, Switzerland, the Netherlands, the United Kingdom, the United States, Uruguay, and Venezuela. In other words, the dataset includes all South American, North American, and Western European countries with a population of more than one million, plus Australia, New Zealand, Japan, and Mexico. The dataset contains information on the public finances of central governments. To make such information comparable cross-nationally we have chosen to normalize nominal revenue figures in two ways: (i) as a share of the total budget, and (ii) as a share of total gross domestic product. The total tax revenue of the central state is disaggregated guided by the Government Finance Statistics Manual 2001 of the International Monetary Fund (IMF) which provides a classification of types of revenue, and describes in detail the contents of each classification category. Given the paucity of detailed historical data and the needs of our project, we combined some subcategories. First, we are interested in total tax revenue (centaxtot), as well as the shares of total revenue coming from direct (centaxdirectsh) and indirect (centaxindirectsh) taxes. Further, we measure two sub-categories of direct taxation, namely taxes on property (centaxpropertysh) and income (centaxincomesh). For indirect taxes, we separate excises (centaxexcisesh), consumption (centaxconssh), and customs(centaxcustomssh).

    For a more detailed description of the dataset and the coding process, see the codebook available in the .zip-file.

    Purpose:

    This dataset presents information on historical central government revenues for 31 countries in Europe and the Americas for the period from 1800 (or independence) to 2012. The countries included are: Argentina, Australia, Austria, Belgium, Bolivia, Brazil, Canada, Chile, Colombia, Denmark, Ecuador, Finland, France, Germany (West Germany between 1949 and 1990), Ireland, Italy, Japan, Mexico, New Zealand, Norway, Paraguay, Peru, Portugal, Spain, Sweden, Switzerland, the Netherlands, the United Kingdom, the United States, Uruguay, and Venezuela. In other words, the dataset includes all South American, North American, and Western European countries with a population of more than one million, plus Australia, New Zealand, Japan, and Mexico. The dataset contains information on the public finances of central governments. To make such information comparable cross-nationally we have chosen to normalize nominal revenue figures in two ways: (i) as a share of the total budget, and (ii) as a share of total gross domestic product. The total tax revenue of the central state is disaggregated guided by the Government Finance Statistics Manual 2001 of the International Monetary Fund (IMF) which provides a classification of types of revenue, and describes in detail the contents of each classification category. Given the paucity of detailed historical data and the needs of our project, we combined some subcategories. First, we are interested in total tax revenue (centaxtot), as well as the shares of total revenue coming from direct (centaxdirectsh) and indirect (centaxindirectsh) taxes. Further, we measure two sub-categories of direct taxation, namely taxes on property (centaxpropertysh) and income (centaxincomesh). For indirect taxes, we separate excises (centaxexcisesh), consumption (centaxconssh), and customs(centaxcustomssh).

  11. e

    Das Publikum des Broadway Filmtheaters (2013) Audience of Broadway...

    • b2find.eudat.eu
    Updated Nov 12, 2019
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    (2019). Das Publikum des Broadway Filmtheaters (2013) Audience of Broadway Filmtheater (2013) - Dataset - B2FIND [Dataset]. https://b2find.eudat.eu/dataset/79e4284c-6095-54f4-bfa0-478df20337e5
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    Dataset updated
    Nov 12, 2019
    Description

    Häufigkeit des Kinobesuchs. Präferenz- und Relevanzkriterien für den Kinobesuch. Filmauswahl und Informationsquellen. Planung des Kinobesuchs und Präferenzzeiten. Preis- und Rabattformen. Bewertung des Broadway-Kinos und Verbesserungsvorschläge. Themen: Häufigkeit des Kinobesuchs im Broadway, CineAStA, CinemaxX und anderen Kinoangeboten; Kinobesuch außerhalb der Stadt Trier; Häufigkeit des Kinobesuchs in ausgewählten Orten (Region Trier, Luxemburg, Orte außerhalb der Region Trier); Anzahl der Kinobesuche in den letzten zwölf Monaten; Zufriedenheit mit der Kinosituation in Trier; Informationsquellen über neue Filme; Kinobesuch allein oder mit Familienangehörigen, Freunden oder Partner/ Partnerin; Planung des Kinobesuchs im Voraus; Häufigkeit des Reservierens von Kinokarten; Präferenzzeiten: bestimmte Wochentage und Uhrzeiten für den Kinobesuch; präferierter Wochentag und präferierte Uhrzeiten; Wichtigkeit verschiedener Kriterien für den Kinobesuch; präferierte Filmgenres; Wichtigkeit verschiedener Aspekte für die Auswahl der Filme; Wichtigkeit des persönlichen Austauschs mit anderen über den Film; Wünsche hinsichtlich der zukünftigen technischen Ausstattung im Kino; Preisobergrenze pro Person für eine Kinokarte; präferierte Rabattformen für Kinobesuche; Bereitschaft zum Besuch verschiedener Kino-Veranstaltung (z.B. Anwesenheit von Schauspielern bei Filmvorführungen, etc.); Wichtigkeit regionaler Produkte im gastronomischen Angebot; Häufigkeit der Nutzung verschiedener Medien in der Freizeit; Meinung zum illegalen Download von Filmen; geschätzter Anteil Personen in Deutschland, die sich illegal Filme beschaffen (in Prozent); präferierte Musikrichtungen und Fernsehsendungen; Häufigkeit des Besuchs verschiedener Kultureinrichtungen in Trier; Bewertung verschiedener Aspekte des Broadway-Kinos; Verbesserungsvorschläge für das Broadway-Kino (offen). Demographie: Geschlecht; Alter (Geburtsjahr); regionale Herkunft; Wohndauer am Wohnort; Jahr des Zuzugs; Familienstand; Erwerbsstatus; derzeitige bzw. frühere Erwerbstätigkeit in Vollzeit oder Teilzeit; berufliche Stellung; höchster allgemeinbildender Schulabschluss; Hochschulabschluss; derzeit besuchte Schulform; deutsche oder ausländische Staatsbürgerschaft; Nationalität; Kinder; Anzahl der Kinder. Zusätzlich verkodet wurde: ID; Datenherkunft; ID auf dem Fragebogen; Filmtitel; Filmformate (Mainstream, Programmkino); Zeitpunkt und Wochentag des Kinobesuchs; Bildung (niedrig, mittel, hoch); Anmerkungen des Interviewers zum Fragebogen; diverse abgeleitete Variablen. Frequency of visits to the cinema. Preference and relevance criteria for cinema attendance. Film selection and information sources. Planning of cinema attendance and preference times. Price and discount forms. Evaluation of Broadway cinema and suggestions for improvement. Topics: Frequency of cinema visits in Broadway, CineAStA, CinemaxX and other cinemas; cinema visits outside the city of Trier; frequency of cinema visits in selected places (Trier region, Luxembourg, places outside the Trier region); number of cinema visits in the last twelve months; Satisfaction with the cinema situation in Trier; sources of information on new films; visits to the cinema alone or with family members, friends or partner; advance planning of visits to the cinema; frequency of cinema ticket reservations; preferred times: certain days and times of the week for cinema attendance; preferred days and times of the week; importance of different criteria for cinema attendance; preferred genres of films; importance of different aspects for the selection of films; importance of personal exchange with others about the film; wishes regarding future technical equipment in the cinema; upper price limit per person for a cinema ticket; preferred forms of discounts for cinema attendance; willingness to attend various cinema events (e.g. attendance of actors at film screenings, etc.); importance of regional products in gastronomic offerings; frequency of use of different media in leisure time; opinion on illegal downloading of films; estimated percentage of people in Germany who illicitly obtain films; preferred music styles and television programmes; frequency of visits to different cultural institutions in Trier; evaluation of different aspects of Broadway cinema; suggestions for improvement of Broadway cinema (open). Demography: sex; age (year of birth); regional origin; length of residence at place of residence; year of move; marital status; employment status; current or former full-time or part-time employment; occupational status; highest general school leaving certificate or university degree; type of school currently attended; German or foreign citizenship; nationality; children; number of children. Additionally coded: ID; data origin; ID on questionnaire; film title; film formats (mainstream, cinematic); time and day of week of cinema visit; education (low, medium, high); interviewer´s comments on questionnaire; various derived variables.

  12. g

    Women and Parties in German Assemblies (WaP)

    • search.gesis.org
    • dbk.gesis.org
    • +3more
    Updated Jan 24, 2018
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    Eder, Christina; Fortin-Rittberger, Jessica (2018). Women and Parties in German Assemblies (WaP) [Dataset]. http://doi.org/10.4232/1.12968
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    application/x-stata-dta(14361039), application/x-spss-sav(11515155)Available download formats
    Dataset updated
    Jan 24, 2018
    Dataset provided by
    GESIS search
    GESIS Data Archive
    Authors
    Eder, Christina; Fortin-Rittberger, Jessica
    License

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

    Time period covered
    1961 - 2013
    Variables measured
    g1 - g1, g2 - g2, g3 - g3, g4 - g4, rat - rat, rgs - rgs, Land - Land, NUTS - NUTS, east - east, empl - empl, and 101 more
    Description

    The project “The Electoral Success of Women across Different Levels of Government” funded by the Fritz-Thyssen-Stiftung investigated the patterns of women’s representation in elected institutions in Germany across the four levels of government. In order to perform this comparison, the central undertaking of the project was to collect the vast amount of records mapping the representation of women in local and district assemblies from various sources, and organize these figures in a format that allows systematic analyses. Having completed this task, the project’s dataset - The Women and Parties in German Assemblies Data (WaP) - comprises information on the study’s dependent variable, the gender and political party composition of elected assemblies during the 2000s, as well as additional contextual information for all the units of analyses.

    1. Administrative variables: year; year in which the last election has been held; year in which the next election will be hold; exact date of election; federal state (Land); entity (name of the Bund, the federal state, the district or the municipality); population density in year 2003; level of administrative classification; Regionalschlüssel (identification number of the entitiy) ; Gemeindeschlüssel (identification number of the city); Kreis/City; number of districts / Kreise belonging to a federal state; Nomenclature des unités territoriales statistiques (NUTS1) on the level of federal states, and NUTS 3 on the level of districts; entity belongs to former German Democratic Republic; large city over 300.000 inhabitants.

    2. Legislative variables: total number of seats in the council / Rat; log of total seats in legislature; total number of seats held by women in the council / Rat; percentage of women represented in the council / Rat; percent seats held by Left wing parties (SPD, PDS, Linke, Grüne); percent seats held by minor parties; presence of women; percent women in Bund only (in Land only, in Kreis only, in Gemeinde only); total number and percentage of seats held by SPD (FDP, Linke, Grüne, CDU, Voting blocs, other parties); number of SPD (FDP, Linke, Grüne, CDU, Voting blocs, other parties) seats and percentage of SPD (FDP, Linke, Grüne, CDU, Voting blocs, other parties) seats held by women.

    3. Party vote variables: total number of votes and percent of votes for SPD, CDU/CSU, Grüne, FDP, Linke, Voting blocs (Wählergruppen), other parties; total number of votes; Gallagher index; voting system; voting list (closed, open, restrictively open, inferior candidates).

    4. Sociodemographic variables: area of entity in km²; number of inhabitants per km²; number of inhabitants per km² for all levels, mostly for 2003; total number of inhabitants; total number of female inhabitants; total number of foreigners; percentage of foreigners; total number of female foreigners; percentage of female foreigners (amongst all foreigners); absolute number of employees (only employees paying mandatory social security contributions); absolute number of female employees; percentage of female employees; unemployment rate; total number of employees in primary sector; percentage of employees in primary sector; total number of female employees in primary sector; percentage of female employees in primary sector; total revenue of the entity (in Mio. €); revenue of the entity by taxes; total expenditures of the entity; expenditure of the entity on social security; entity experienced changes in administrative structure.

  13. T

    GOLD RESERVES by Country Dataset

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 26, 2017
    + more versions
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    TRADING ECONOMICS (2017). GOLD RESERVES by Country Dataset [Dataset]. https://tradingeconomics.com/country-list/gold-reserves
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    excel, xml, csv, jsonAvailable download formats
    Dataset updated
    May 26, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    2025
    Area covered
    World
    Description

    This dataset provides values for GOLD RESERVES reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

  14. T

    Germany Job Vacancy Rate

    • tradingeconomics.com
    • zh.tradingeconomics.com
    • +8more
    csv, excel, json, xml
    Updated Aug 6, 2005
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    TRADING ECONOMICS (2005). Germany Job Vacancy Rate [Dataset]. https://tradingeconomics.com/germany/job-vacancy-rate
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    excel, json, xml, csvAvailable download formats
    Dataset updated
    Aug 6, 2005
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Mar 31, 2006 - Mar 31, 2025
    Area covered
    Germany
    Description

    Job Vacancy Rate in Germany decreased to 2.70 percent in the first quarter of 2025 from 3.20 percent in the fourth quarter of 2024. This dataset includes a chart with historical data for Germany Job Vacancy Rate.

  15. T

    Germany GDP per capita PPP

    • tradingeconomics.com
    • tr.tradingeconomics.com
    • +14more
    csv, excel, json, xml
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    TRADING ECONOMICS, Germany GDP per capita PPP [Dataset]. https://tradingeconomics.com/germany/gdp-per-capita-ppp
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    csv, xml, json, excelAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    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, 1990 - Dec 31, 2024
    Area covered
    Germany
    Description

    The Gross Domestic Product per capita in Germany was last recorded at 62829.80 US dollars in 2024, when adjusted by purchasing power parity (PPP). The GDP per Capita, in Germany, when adjusted by Purchasing Power Parity is equivalent to 354 percent of the world's average. This dataset provides the latest reported value for - Germany GDP per capita PPP - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  16. T

    Germany Bank Lending Rate

    • tradingeconomics.com
    • pl.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 15, 2025
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    TRADING ECONOMICS (2025). Germany Bank Lending Rate [Dataset]. https://tradingeconomics.com/germany/bank-lending-rate
    Explore at:
    excel, xml, csv, jsonAvailable download formats
    Dataset updated
    Jun 15, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 31, 2003 - May 31, 2025
    Area covered
    Germany
    Description

    Bank Lending Rate in Germany decreased to 4.09 percent in May from 4.23 percent in April of 2025. This dataset provides the latest reported value for - Germany Bank Lending Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  17. e

    Social Change and Violent Crime - Dataset - B2FIND

    • b2find.eudat.eu
    Updated Apr 4, 2016
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    (2016). Social Change and Violent Crime - Dataset - B2FIND [Dataset]. https://b2find.eudat.eu/dataset/f352d183-5221-59c1-9b50-5517e9108d6c
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    Dataset updated
    Apr 4, 2016
    Description

    The research project is a subproject of the research association “Strengthening of integration potentials within a modern society” (Scientific head: Prof. Dr. Wilhelm Heitmeyer, Bielefeld) which contains 17 subprojects and is supported by the ministry of education and research. In almost all the economically highly developed countries violent crime increased significantly in the second part of the last century - in contrast to the long term trend of decline of individual (non-governmental) violence since the beginning of modern times. The authors develop an explanatory approach for these facts which is inspired mainly by Norbert Elias´s civilization theory and Emil Durkheim´s theory on society. Detailed time series on the development of different forms of violent crime are presented and set in relation with certain aspects of economic and social structural changes in three countries and also refer to the changes in integration of modern societies. The analysis deals especially with effectivity and legitimacy of the governmental monopoly of violence, the public beneficial security and power system, forms of building social capital, economic and social inequality, precarity of employment, different aspects of increasing economization of society, changes in family structures and usage of mass media and modern communication technologies. Register of tables in HISTAT: A: Crime statistics A.01 Frequency of types of crimes in different countries (1953-2000) A.02 Suspects by crimes of 100.000 inhabitants of Germany, England and Sweden (1955-1998) A.03 Murders, manslaughter and intentional injuries by other persons by sex of 100.000 persons after the statistics of causes of death (1953-2000) A.04 Clearance rate by types of crimes in Germany, England and Sweden (1953-1997) A.05 Prisoners of 100.000 inhabitants of Germany, Great Britain and Sweden (1950-2000) B: Key indicators for economic development in Germany, Great Britain, Sweden and the USA B1: Data on the overall economic framework B1.01 Percent changes in the real GDP per capita in purchasing power parities (1956-1987) B1.02 Percent changes in GDP per capita in prices from 2000 (1955-1998) B1.03 GDP of Germany, Sweden and the United Kingdom in purchasing power parities in percent og the US GDP (1950-1992) B1.04 Labor productivity index for different countries, base: USA 1996 = 100 (1950-1999) B1.05 GDP per hour of labor in different countries in EKS-$ from 1999 (1950-2003) B1.06 Foreign trade - exports and imports in percent of the GDP of different countries (1949-2003) B1.07 GDP, wages and Unit-Labor-Cost in different countries (1960-2003) B2: Unemployment B2.01 Standardized unemployment rate in different countries with regard to the entire working population (1960-2003) B2.02 Share of long-term unemployed of the total number of unemployed in different countries in percent (1992-2004) B2.03 Youth unemployment in different countries in percent (1970-2004) B2.04 Unemployment rate in percent by sex in different countries (1963-2000) B3: Employment B3.01 Employment rate in percent in different countries (1960-2000) B3.02 Share of fixed-term employees and persons in dependent employment in percent in different countries (1983-2004) B3.03 Share of part-time employees by sex compared to the entire working population in different countries (1973-2000) B3.04 Share of un-voluntarily part-time employees by sex in different countries (1983-2003) B3.05 Share of contract workers in different countries in percent of the entire working population (1975-2002) B3.06 Share of self-employed persons in different countries in percent of the entire working population (1970-2004) B3.07 Shift worker rate in different countries in percent (1992-2005) B3.08 Yearly working hours per employee in different countries (1950-2004) B3.09 Employment by sectors in different countries (1950-2003) B3.10 Share of employees in public civil services in percent of the population between 15 and 64 years in different countries (1960-1999) B3.11 Female population, female employees and female workers in percent of the population between 16 and 64 years in different countries (1960-2000) B3.12 Employees, self-employed persons in percent of the entire working population in different countries (1960-2000) B4: Taxes and duties B4.01 Taxes and social security contributions in percent of the GDP (1965-2002) B4.02 Social expenditure in percent of the GDP (1965-2002) B4.03 Social expenditure in percent of the GDP (1960-2000) B4.04 Public expenditure in percent of the GDP in different countries (1960-2003) B4.05 Education expenditure in percent of GDP (1950-2001) B5: Debt B5.01 Insolvencies in Germany and England (1960-2004) B5.02 Insolvencies with regard to total population in different countries (1950-2002) B5.03 Consumer credits in different countries (1960-2002) C: Income distribution in Germany, Great Britain and Sweden C.01 Income inequality in different countries Einkommensungleicheit in verschiedenen Ländern (1949-2000) C.02 Income inequality after different indices and calculations in different countries (1969-2000) C.03 Redistribution: Decline in Gini-Index through transfers and taxes in percent in different countries (1969-2000) C.04 Redistribution: Decline in Gini-Index through transfers and taxes in percent with a population structure as in the United Kingdom in 1969 in different countries (1969-2000) C.05 Redistribution efficiency: Decline in Gini-/ Atkinson-Index through transfers and the share of social expenditure of the GDP in different countries (1969-2000) C.06 Index for concentration of transfers in different countries (1981-2000) C.07 Distribution of wealth in West-Germany (1953-1998) C.08 Distribution of wealth in the United Kingdom (1950-2000) C.09 Distribution of wealth in Sweden (1951-1999) C.10 Relative income poverty in different countries (1969-2000) C.11 Reduction of poverty in different countries (1969-2000) C.12 Neocorporalism index in different countries (1960-1994) D: Perception of safety D.01 Satisfaction with democracy in different countries (1976-2004) D.02 Revenues and employees in the private security sector in different countries (1950-2001) D.03 Decommodification-Score in different countries (1971-2002) E: Demographics E.01 Birth rates: Birth per 1000 women between 15 and 49 years in different countries (1951-2001) E.02 Fertility rate in different countries (1950-2004) E.03 Marriages per 100.000 persons in different countries (1950-2003) E.04 Share of foreigners of the entire population in different countries (1951-2002) E.05 Internal migration in different countries (1952-2001)

  18. Penetration rate of credit cards in Germany 2014-2029

    • statista.com
    Updated Jul 11, 2025
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    Statista (2025). Penetration rate of credit cards in Germany 2014-2029 [Dataset]. https://www.statista.com/forecasts/1149786/credit-card-penetration-forecast-in-germany
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    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Germany
    Description

    The credit card penetration in Germany was forecast to continuously increase between 2024 and 2029 by in total *** percentage points. After the seventh consecutive increasing year, the credit card penetration is estimated to reach ***** percent and therefore a new peak in 2029. The penetration rate refers to the share of the total population who use credit cards.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to *** countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the credit card penetration in countries like Switzerland and Austria.

  19. e

    Political Knowledge in Germany - Preliminary Survey (2008) - Dataset -...

    • b2find.eudat.eu
    Updated Aug 25, 2017
    + more versions
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    (2017). Political Knowledge in Germany - Preliminary Survey (2008) - Dataset - B2FIND [Dataset]. https://b2find.eudat.eu/dataset/c584b0fb-2695-5cd5-b728-268da1b359e5
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    Dataset updated
    Aug 25, 2017
    Area covered
    Germany
    Description

    Preliminary surveys on the representative survey on factual knowledge about politics in Germany (2009): political structures, institutions, functions, parties and politicians, issues in Germany and the EU. Preliminary survey 1: Topics: opinion on the equality of same-sex partnerships with marriages and the expansion of municipal electoral law for non-EU foreigners; presumed position of the parties CDU / CSU, SPD, FDP, Greens and Die Linke to the above-mentioned topics; interest in politics; political knowledge (quiz questions, split in the question, answer don’t know only split 1, rotation of the questionnaire for all random questions): federal constitution (all power emanates from the people), task of the Federal Council, active equality of women and men according to the federal constitution, emergency legislation, current expenditure of federal budget, aim of the solidarity surcharge, parental leave, amount of the annual basic income of the income tax for single persons, dynamic pension. Preliminary survey 2: Topics: interest in politics; political knowledge (quiz questions, split in questions, rotation of items 1-3): pregnancy abortion for social reasons according to § 218, task of the Birthler authority (formerly Gauck authority), unemployment rate in East Germany and West Germany, share of the working women in the labor market, aim of the Radikalenerlass, number of care categories of the long-term care insurance, main objectives of the United Nation, reason why the Berlin Wall was designated an antifacist barrier, the reason for the foundation of the Warsaw Pact, the main target of the organization ATTAC, aim of the Adenauer government with regard to the Hallstein doctrine, the percentage of the gross domestic product used for development aid, encouraged field by the European Social Fund, the objective of the European Anti-Discrimination Directive, the amount of the new debt ratio as measured by the gross domestic product according to the Euro Stability Pact, the Bologna process, the year of accession of the FRG to the European Community respectively the European Union, regulation of the European Posting of Workers Directive, only split 1: party affiliation of the federal politician Uta Neumann. Demography: sex; age; activity; profession; graduation; net household income. Additionally coded was: sentence or pagination number; region east / west; federal state; weighting factor; BIK Gemeinde type; split; rotation; wave. Vorstudien zur Repräsentativ-Befragung zu Faktenwissen über Politik in Deutschland (2009): politische Strukturen, Institutionen, Funktionen, Parteien und Politiker, Issues in Deutschland und EU. Vorstudie 1: Themen: Meinung zur Gleichstellung von gleichgeschlechtlichen Partnerschaften mit Ehen und zur Ausweitung des kommunalen Wahlrechts für Nicht-EU-Ausländer; vermutete Position der Parteien CDU/CSU, SPD, FDP, Grüne und Die Linke zu den vorgenannten Themen; Politikinteresse; politisches Wissen (Quizfragen, Split in der Fragestellung, Antwortvorgabe weiß nicht nur Split 1, Rotation der Fragereihenfolge bei allen random-Fragen): Grundgesetz (Alle Staatsgewalt geht vom Volk aus), Aufgabe des Bundesrats, aktive Gleichstellung von Frauen und Männern laut Grundgesetz, Notstandsgesetzgebung, derzeitige Ausgabensumme des Bundeshaushalts, Ziel des Solidaritätszuschlags, Elternzeit, Höhe des jährlichen Grundfreibetrags der Einkommenssteuer für Alleinstehende, dynamische Rente. Vorstudie 2: Themen: Politikinteresse; politisches Wissen (Quizfragen, Split in der Fragestellung, Rotation der Items 1-3): Schwangerschaftsabbruch aus sozialen Gründen nach § 218, Aufgabe der Birthler-Behörde (früher Gauck-Behörde), Arbeitslosenquote in Ostdeutschland und in Westdeutschland, Anteil der erwerbstätigen Frauen im erwerbsfähigen Alter, Ziel des Radikalenerlasses, Anzahl verschiedener Pflegestufen der Pflegeversicherung, Hauptziel der Vereinten Nationen (UNO), Grund warum die Berliner Mauer von der DDR-Führung als antifaschistischer Schutzwall bezeichnet wurde, Grund für die Gründung des Warschauer Pakts, Hauptziel der Organisation ATTAC, Ziel der Adenauer-Regierung hinsichtlich der Hallstein-Doktrin, für Entwicklungshilfe verwendeter Prozentsatz des Bruttoinlandsprodukts, durch den Europäischen Sozialfond geförderter Bereich, Ziel der europäischen Anti-Diskriminierungsrichtline, Höhe der Neuverschuldungs-Quote gemessen am Bruttoinlandsprodukt gemäß Euro-Stabilitätspakt, Bologna-Prozess, Beitrittsjahr der BRD zur Europäischen Gemeinschaft bzw. zur Europäischen Union, Regelung der europäischen Entsenderichtlinie, nur Split 1: Parteizugehörigkeit der Bundespolitikerin Uta Neumann. Demographie: Geschlecht; Alter; Tätigkeit; Beruf; Schulabschluss; Haushaltsnettoeinkommen. Zusätzlich verkodet wurde: Satz- oder Paginiernummer; Region Ost/West; Bundesland; Gewichtungsfaktor; BIK Gemeindetyp; Split; Rotation; Welle. Probability Sample: Multistage Sample Wahrscheinlichkeitsauswahl: Mehrstufige Zufallsauswahl Telephone interview: CATI (Computer Assisted Telephone Interview)

  20. e

    The Long Waves of Economic Growth from 1850–1977 - Dataset - B2FIND

    • b2find.eudat.eu
    Updated Oct 21, 2006
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    (2006). The Long Waves of Economic Growth from 1850–1977 - Dataset - B2FIND [Dataset]. https://b2find.eudat.eu/dataset/c8b2b80d-11a5-5b05-ad8e-4a3f7a733468
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    Dataset updated
    Oct 21, 2006
    Description

    Part I: Germany By means of a statistical analysis, this study examines the question whether there are long-term fluctuations in the course of the economic development in Germany, and if so, why they occur. On the grounds of a discussion about the hypothesises of lack of capital, overproduction and innovation, an explanatory model for the growth waves has been developed. This model, which is based on an empirical analysis, can be summarised as follows: The long-term development of the national product is mainly determined by the development of investments, which depend on the development of the profit expectations in their turn. In this respect, the development of wages, national consumption, and protection are considered important factors for the definition of long-term profit expectations. Hereby the above-mentioned model is empirically tested. Eventually some economic conclusions are drawn. Part II: An International Comparison In the 1970s, the process of global economic growth weakened considerably as compared to the two preceding decades. This development provoked several explanatory attempts. Within the scope of an empiric study for Germany, the slowed growth of the 1970s has been understood as being the downswing phase of a long-term cycle of development. In doing so, the diagnosed development of the national product was mainly explained by long-term fluctuations of the (functional) distribution of income and the governmental activity, which, on their part, caused long-term ups and downs concerning investment activities due to their influence on profit expectations. In fact, the article faced harsh criticism, which was directed at both the explanatory approach and the under-lying empirical method. This study calculates the deviations of streamlined national product series from the long-term trend; its results show that there have been long-term, more or less distinct fluctuations in the development of the national product of several free-market countries other than Germany. According to the available data, different index numbers were applied to the respective national production. The period examined in this study for every country reaches as far back as data are available. With regard to the results of the empirical analysis of the long-term economic development of Germany, France, Italy, Sweden, the United Kingdom, the United States, and the Soviet Union, it can be stated that - long-term fluctuations of the economic development are not merely restricted to Germany, and that a socialistic economic system presumably does not guarantee a continuous growth either; - the cyclical pattern differs from country to country; - there were parallel developments at the international level; however, these do not develop in a synchronous way. Factual classification of the tables in HISTAT: Part I: Germany Part I: 1. Macroeconomic indicators for the Federal Republic of Germany (1960-1990) Part I: A.1 Net national product and net investments in the Federal Republic of Germany (1850-1990) Part I:A.2 Net national product, net investments, foreign trade values and national consumption (in million D-marks) in Germany (1850-1990) Part I: A.3 Stock yields and profit expectations (in percent) in Germany (1926-1977) Part I: A.4 Actual earnings of employees and unemployment rate (in percent) in Germany (1925-1990) Part I: A.5 The population (in 1,000) in the Federal Republic of Germany and in the German Reich (1850-1913) Part II: International comparison Part II: A.1.Macroeconomic annual production of selected states (1830-1979) Part II: A.2 Investments of selected states (1830-1979) Part II: A.3 Unemployment rate of selected states (in percent) (1887-1979) Teil I: Deutschland In dieser Studie wird mit Hilfe einer statistischen Analyse die Frage untersucht, ob es langfristige Schwankungen der wirtschaftlichen Entwicklung in Deutschland gibt und worauf sie gegebenenfalls zurückgeführt werden können. Ausgehend von einer Diskussion der Kapitalmangel-, der Überproduktions- und der Innovationshypothese wird ein Modell zur Erklärung von Wachstumswellen entwickelt. Das Modell, das der empirischen Analyse zugrunde liegt, lässt sich wie folgt zusammenfassen: Die langfristige Entwicklung des Sozialprodukts wird vornehmlich von der Entwicklung der Investitionstätigkeit bestimmt, die ihrerseits von der Entwicklung den Gewinnerwartungen abhängt. Als wichtige Bestimmungsgründe der langfristigen Gewinnerwartungen werden die Entwicklung von Löhnen, Staatsverbrauch und Protektion angesehen. Dieses Modell wird einem empirischen Test unterworfen. Abschließend werden einige wirtschaftspolitische Schlussfolgerungen gezogen. Teil II: Internationaler Vergleich Der weltwirtschaftliche Wachstumsprozess hat sich in den siebziger Jahren im Vergleich zu den beiden vorangegangenen Jahrzehnten merklich abgeschwächt. Diese Entwicklung hat zahlreiche Erklärungsversuche provoziert. In einer empirischen Untersuchung für Deutschland wurde das verlangsamte Wachstum der siebziger Jahre als Abschwungsphase eines langfristigen Entwicklungszyklus interpretiert. Die diagnostizierte Sozialproduktentwicklung wurde vorwiegend auf langfristige Schwankungen in der (funktionalen) Einkommensverteilung und der Staatsaktivität zurückgeführt, die ihrerseits über ihren Einfluss auf die Gewinnerwartungen langfristige Schwankungen in der Investitionstätigkeit hervorriefen. Der Beitrag ist auf heftige Kritik gestoßen. Die Kritik bezieht sich sowohl auf den Erklärungssatz als auch auf das empirische Vorgehen. Die in dieser Studie vorgenommenen Berechnungen der Abweichungen geglätteter Sozialproduktreihen vom langfristigen Trend lassen erkennen, dass es außer in Deutschland auch in anderen marktwirtschaftlichen Ländern langfristige Schwankungen in der Entwicklung des Sozialprodukts gegeben hat, die freilich unterschiedlich stark ausgeprägt waren. Je nach Datenlage wurden unterschiedliche Messziffern für die gesamtwirtschaftliche Produktion verwandt. Der Beobachtungszeitraum reicht für die einzelnen Länder soweit zurück, wie Daten zur Verfügung stehen. Als Ergebnis der empirischen Analyse der langfristigen wirtschaftlichen Entwicklung Deutschlands, Frankreichs, Italiens, Schwedens, des Vereinigten Königreichs, der Vereinigten Staaten sowie der Sowjetunion lässt sich festhalten, - dass sich langfristige Schwankungen der wirtschaftlichen Entwicklung nicht auf Deutschland beschränken, und dass vermutlich auch ein sozialistisches Wirtschaftssystem kein stetiges Wachstum garantiert; - dass in den einzelnen Ländern das zyklische Muster nicht gleichmäßig ausgeprägt war; - dass es zwar international parallele Entwicklungen gegeben hat, aber ein enger internationaler Gleichlauf nicht zu erkennen ist. Sachliche Untergliederung der Datentabellen im Recherche- und Downloadsystem HISTAT (Thema: Wachstum, Konjunktur und Krisen): Teil I: Deutschland Teil I: 1. Gesamtwirtschaftliche Indikatoren für die Bundesrepublik Deutschland (1960-1990) Teil I: A.1 Nettosozialprodukt und Nettoinvestitionen im Gebiet der Bundesrepublik Deutschland (1850-1990) Teil I: A.2 Nettosozialprodukt, Nettoinvestitionen, Außenhandelswerte und Staatsverbrauch in Millionen Mark in Deutschland (1850-1990) Teil I: A.3 Aktienrendite und Gewinnerwartungen in Prozent in Deutschland (1926-1977) Teil I: A.4 Reallohnposition der Arbeitnehmer und Arbeitslosenquote in Prozent in Deutschland (1925-1990) Teil I: A.5 Die Bevölkerung (in 1000) im Gebiet der Bundesrepublik Deutschland und im Deutschen Reich (1850-1913) Teil II: Internationaler Vergleich Teil II: A.1.Gesamtwirtschaftliche jährliche Produktion ausgewählter Länder (1830-1979) Teil II: A.2 Investitionen ausgewählter Länder (1830-1979) Teil II: A.3 Die Arbeitslosenquote in ausgewählten Ländern in Prozent (1887-1979) Quellen: - Daten des Statistischen Reichsamtes, - Daten des Statistischen Bundesamtes, - ausgewählte Daten der Deutschen Bundesbank,Sachverständigenrat (Jahresgutachten, lfd. Jahrgänge), - Daten der OECD, - Daten aus wiss. Publikationen.

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CEICdata.com, 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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Germany DE: International Migrant Stock: % of Population

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Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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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;

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