12 datasets found
  1. u

    Foreign-born Population, 2001: Foreign-born Population (by census division)

    • data.urbandatacentre.ca
    • beta.data.urbandatacentre.ca
    • +3more
    Updated Oct 1, 2024
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    (2024). Foreign-born Population, 2001: Foreign-born Population (by census division) [Dataset]. https://data.urbandatacentre.ca/dataset/gov-canada-e482eaf0-8893-11e0-9a3e-6cf049291510
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    Dataset updated
    Oct 1, 2024
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    As of May 15, 2001, 5.4 million people, or 18.4% of the total population, were born outside the country. This was the highest proportion since 1931, when foreign-born people made up 22.2% of the population. In 1996, the proportion was 17.4%. The map shows the percentage of the total population that was foreign-born by census division.

  2. Population of the UK by country of birth and nationality: individual country...

    • ons.gov.uk
    • cy.ons.gov.uk
    xls
    Updated Nov 25, 2021
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    Office for National Statistics (2021). Population of the UK by country of birth and nationality: individual country data (Discontinued after June 2021) [Dataset]. https://www.ons.gov.uk/peoplepopulationandcommunity/populationandmigration/internationalmigration/datasets/populationoftheunitedkingdombycountryofbirthandnationalityunderlyingdatasheets
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    xlsAvailable download formats
    Dataset updated
    Nov 25, 2021
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Area covered
    United Kingdom
    Description

    UK residents by individual countries of birth and citizenship, broken down by UK country, local authority, unitary authority, metropolitan and London boroughs, and counties. Estimates from the Annual Population Survey.

  3. Migration Household Survey 2009 - South Africa

    • microdata.worldbank.org
    • dev.ihsn.org
    • +1more
    Updated Jun 3, 2019
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    Human Sciences Research Council (HSRC) (2019). Migration Household Survey 2009 - South Africa [Dataset]. https://microdata.worldbank.org/index.php/catalog/96
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    Dataset updated
    Jun 3, 2019
    Dataset provided by
    Human Sciences Research Councilhttps://hsrc.ac.za/
    Authors
    Human Sciences Research Council (HSRC)
    Time period covered
    2009
    Area covered
    South Africa
    Description

    Abstract

    The Human Sciences Research Council (HSRC) carried out the Migration and Remittances Survey in South Africa for the World Bank in collaboration with the African Development Bank. The primary mandate of the HSRC in this project was to come up with a migration database that includes both immigrants and emigrants. The specific activities included: · A household survey with a view of producing a detailed demographic/economic database of immigrants, emigrants and non migrants · The collation and preparation of a data set based on the survey · The production of basic primary statistics for the analysis of migration and remittance behaviour in South Africa.

    Like many other African countries, South Africa lacks reliable census or other data on migrants (immigrants and emigrants), and on flows of resources that accompanies movement of people. This is so because a large proportion of African immigrants are in the country undocumented. A special effort was therefore made to design a household survey that would cover sufficient numbers and proportions of immigrants, and still conform to the principles of probability sampling. The approach that was followed gives a representative picture of migration in 2 provinces, Limpopo and Gauteng, which should be reflective of migration behaviour and its impacts in South Africa.

    Geographic coverage

    Two provinces: Gauteng and Limpopo

    Limpopo is the main corridor for migration from African countries to the north of South Africa while Gauteng is the main port of entry as it has the largest airport in Africa. Gauteng is a destination for internal and international migrants because it has three large metropolitan cities with a great economic potential and reputation for offering employment, accommodations and access to many different opportunities within a distance of 56 km. These two provinces therefore were expected to accommodate most African migrants in South Africa, co-existing with a large host population.

    Analysis unit

    • Household
    • Individual

    Universe

    The target group consists of households in all communities. The survey will be conducted among metro and non-metro households. Non-metro households include those in: - small towns, - secondary cities, - peri-urban settlements and - deep rural areas. From each selected household, one adult respondent will be selected to participate in the study.

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    Migration data for South Africa are available for 2007 only at the level of local governments or municipalities from the 2007 Census; for smaller areas called "sub places" (SPs) only as recently as the 2001 census, and for the desired EAs only back so far as the Census of 1996. In sum, there was no single source that provided recent data on the five types of migrants of principal interest at the level of the Enumeration Area, which was the area for which data were needed to draw the sample since it was going to be necessary to identify migrant and non-migrant households in the sample areas in order to oversample those with migrants for interview.

    In an attempt to overcome the data limitations referred to above, it was necessary to adopt a novel approach to the design of the sample for the World Bank's household migration survey in South Africa, to identify EAs with a high probability of finding immigrants and those with a low probability. This required the combined use of the three sources of data described above. The starting point was the CS 2007 survey, which provided data on migration at a local government level, classifying each local government cluster in terms of migration level, taking into account the types of migrants identified. The researchers then spatially zoomed in from these clusters to the so-called sub-places (SPs) from the 2001 Census to classifying SP clusters by migration level. Finally, the 1996 Census data were used to zoom in even further down to the EA level, using the 1996 census data on migration levels of various typed, to identify the final level of clusters for the survey, namely the spatially small EAs (each typically containing about 200 households, and hence amenable to the listing operation in the field).

    A higher score or weight was attached to the 2007 Community Survey municipality-level (MN) data than to the Census 2001 sub-place (SP) data, which in turn was given a greater weight than the 1996 enumerator area (EA) data. The latter was derived exclusively from the Census 1996 EA data, but has then been reallocated to the 2001 EAs proportional to geographical size. Although these weights are purely arbitrary since it was composed from different sources, they give an indication of the relevant importance attached to the different migrant categories. These weighted migrant proportions (secondary strata), therefore constituted the second level of clusters for sampling purposes.

    In addition, a system of weighting or scoring the different persons by migrant type was applied to ensure that the likelihood of finding migrants would be optimised. As part of this procedure, recent migrants (who had migrated in the preceding five years) received a higher score than lifetime migrants (who had not migrated during the preceding five years). Similarly, a higher score was attached to international immigrants (both recent and lifetime, who had come to SA from abroad) than to internal migrants (who had only moved within SA's borders). A greater weight also applied to inter-provincial (internal) than to intra-provincial migrants (who only moved within the same South African province).

    How the three data sources were combined to provide overall scores for EA can be briefly described. First, in each of the two provinces, all local government units were given migration scores according to the numbers or relative proportions of the population classified in the various categories of migrants (with non-migrants given a score of 1.0. Migrants were assigned higher scores according to their priority, with international migrants given higher scores than internal migrants and recent migrants higher scores than lifetime migrants. Then within the local governments, sub-places were assigned scores assigned on the basis of inter vs. intra-provincial migrants using the 2001 census data. Each SP area in a local government was thus assigned a value which was the product of its local government score (the same for all SPs in the local government) and its own SP score. The third and final stage was to develop relative migration scores for all the EAs from the 1996 census by similarly weighting the proportions of migrants (and non-migrants, assigned always 1.0) of each type. The the final migration score for an EA is the product of its own EA score from 1996, the SP score of which it is a part (assigned to all the EAs within the SP), and the local government score from the 2007 survey.

    Based on all the above principles the set of weights or scores was developed.

    In sum, we multiplied the proportion of populations of each migrant type, or their incidence, by the appropriate final corresponding EA scores for persons of each type in the EA (based on multiplying the three weights together), to obtain the overall score for each EA. This takes into account the distribution of persons in the EA according to migration status in 1996, the SP score of the EA in 2001, and the local government score (in which the EA is located) from 2007. Finally, all EAs in each province were then classified into quartiles, prior to sampling from the quartiles.

    From the EAs so classified, the sampling took the form of selecting EAs, i.e., primary sampling units (PSUs, which in this case are also Ultimate Sampling Units, since this is a single stage sample), according to their classification into quartiles. The proportions selected from each quartile are based on the range of EA-level scores which are assumed to reflect weighted probabilities of finding desired migrants in each EA. To enhance the likelihood of finding migrants, much higher proportions of EAs were selected into the sample from the quartiles with the higher scores compared to the lower scores (disproportionate sampling). The decision on the most appropriate categorisations was informed by the observed migration levels in the two provinces of the study area during 2007, 2001 and 1996, analysed at the lowest spatial level for which migration data was available in each case.

    Because of the differences in their characteristics it was decided that the provinces of Gauteng and Limpopo should each be regarded as an explicit stratum for sampling purposes. These two provinces therefore represented the primary explicit strata. It was decided to select an equal number of EAs from these two primary strata.

    The migration-level categories referred to above were treated as secondary explicit strata to ensure optimal coverage of each in the sample. The distribution of migration levels was then used to draw EAs in such a way that greater preference could be given to areas with higher proportions of migrants in general, but especially immigrants (note the relative scores assigned to each type of person above). The proportion of EAs selected into the sample from the quartiles draws upon the relative mean weighted migrant scores (referred to as proportions) found below the table, but this is a coincidence and not necessary, as any disproportionate sampling of EAs from the quartiles could be done, since it would be rectified in the weighting at the end for the analysis.

    The resultant proportions of migrants then led to the following proportional allocation of sampled EAs (Quartile 1: 5 per cent (instead of 25% as in an equal distribution), Quartile 2: 15 per cent (instead

  4. G

    Immigrants to Canada, by country of last permanent residence

    • open.canada.ca
    • www150.statcan.gc.ca
    • +2more
    csv, html, xml
    Updated Jan 17, 2023
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    Statistics Canada (2023). Immigrants to Canada, by country of last permanent residence [Dataset]. https://open.canada.ca/data/en/dataset/fc6ad2eb-51f8-467c-be01-c4bda5b6186b
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    csv, xml, htmlAvailable download formats
    Dataset updated
    Jan 17, 2023
    Dataset provided by
    Statistics Canada
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Area covered
    Canada
    Description

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

  5. f

    Origins of immigrants and descendants.

    • figshare.com
    • plos.figshare.com
    xls
    Updated Jun 3, 2023
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    Fredrik Jansson; Gunn Elisabeth Birkelund; Mats Lillehagen (2023). Origins of immigrants and descendants. [Dataset]. http://doi.org/10.1371/journal.pone.0233677.t003
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    xlsAvailable download formats
    Dataset updated
    Jun 3, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Fredrik Jansson; Gunn Elisabeth Birkelund; Mats Lillehagen
    License

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

    Description

    The twenty most common countries of origin for immigrants and mother’s origin for native descendants, with proportional share in the population from the country, and share of students on the specialisation tracks natural science (N); language, social science and economy (S); and other (O), respectively. The total is the summed share from the twenty most common countries, and shares in the whole set of immigrants and descendants, respectively, on the respective specialisation tracks. Note that school classes with too few immigrants to perform our analyses have been excluded. Including the whole population, not only those in our analysis, would increase the figures for “other” specialisations. All figures are in percent.

  6. D

    Who fears and who welcomes population decline? [Dataset]

    • dataverse.nl
    application/x-stata +2
    Updated Feb 13, 2023
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    H.P Van Dalen; K. Henkens; H.P Van Dalen; K. Henkens (2023). Who fears and who welcomes population decline? [Dataset] [Dataset]. http://doi.org/10.34894/XAZOO7
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    doc(413696), application/x-stata(396361), docx(40530), doc(41984)Available download formats
    Dataset updated
    Feb 13, 2023
    Dataset provided by
    DataverseNL
    Authors
    H.P Van Dalen; K. Henkens; H.P Van Dalen; K. Henkens
    License

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

    Description

    European countries are experiencing population decline and the tacit assumption in most analyses is that the decline may have detrimental welfare effects. In this paper we use a survey among the population in the Netherlands to discover whether population decline is always met with fear. A number of results stand out: population size preferences differ by geographic proximity: at a global level the majority of respondents favors a (global) population decline, but closer to home one supports a stationary population. Population decline is clearly not always met with fear: 31 percent would like the population to decline at the national level and they generally perceive decline to be accompanied by immaterial welfare gains (improvement environment) as well as material welfare losses (tax increases, economic stagnation). In addition to these driving forces it appears that the attitude towards immigrants is a very strong determinant at all geographical levels: immigrants seem to be a stronger fear factor than population decline.

  7. f

    Characteristics of Foreign-Born Persons in the Swiss Hepatitis C Cohort...

    • figshare.com
    • plos.figshare.com
    xlsx
    Updated May 31, 2023
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    Barbara Bertisch; Fabio Giudici; Francesco Negro; Darius Moradpour; Beat Müllhaupt; Alberto Moriggia; Janne Estill; Olivia Keiser (2023). Characteristics of Foreign-Born Persons in the Swiss Hepatitis C Cohort Study: Implications for Screening Recommendations [Dataset]. http://doi.org/10.1371/journal.pone.0155464
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    xlsxAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Barbara Bertisch; Fabio Giudici; Francesco Negro; Darius Moradpour; Beat Müllhaupt; Alberto Moriggia; Janne Estill; Olivia Keiser
    License

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

    Area covered
    Switzerland
    Description

    BackgroundSwitzerland recommends individuals who originate from high-prevalence countries to be screened for hepatitis C virus (HCV) infection. However, not all these persons are equally at risk. We thus aimed to describe the number and characteristics of persons with HCV infection born outside of Switzerland.MethodsWe compared characteristics of anti-HCV-positive individuals in the Swiss Hepatitis C Cohort Study (SCCS) and of HCV cases reported to the Federal Office of Public Health (FOPH), with those of the general population in Switzerland. Persons who inject drugs (PWID) and persons who do not inject drugs (non-PWID) were compared by age groups for different countries of origin (represented by ≥1% of participants in the SCCS or FOPH).ResultsWe included 4,199 persons from the SCCS and 26,610 cases from the FOPH. Both groups had similar characteristics. In both data sources non-PWID were more frequent in foreign-born than in Swiss-born persons (63% versus 34% in the SCCS). The only subgroup with a clearly higher proportion both in the SCCS and FOPH than in the general population were persons over 60 years from Italy and Spain, with a 3.7- and 2.8-fold increase in the SCCS. These persons were non-PWID (99%), less frequently HIV- and anti-HBc positive and more often female than PWID from Italy and Spain; cirrhosis at enrolment was frequent (31%). Their HCV genotypes were consistent with those observed in elderly non-PWID of their birth countries. In the FOPH a higher proportion than in the general population was also seen for cases from Georgia and Russia.ConclusionThe identification of subgroups in which HCV infection is particularly frequent might allow for better targeting HCV screening among foreign-born persons in Switzerland and elsewhere.

  8. Permanent Residents – Monthly IRCC Updates

    • open.canada.ca
    • data.amerigeoss.org
    • +1more
    csv, xlsx
    Updated May 12, 2025
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    Immigration, Refugees and Citizenship Canada (2025). Permanent Residents – Monthly IRCC Updates [Dataset]. https://open.canada.ca/data/en/dataset/f7e5498e-0ad8-4417-85c9-9b8aff9b9eda
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    xlsx, csvAvailable download formats
    Dataset updated
    May 12, 2025
    Dataset provided by
    Immigration, Refugees and Citizenship Canadahttp://www.cic.gc.ca/
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Time period covered
    Jan 1, 2015 - Mar 31, 2025
    Description

    People who have been granted permanent resident status in Canada. Please note that in these datasets, the figures have been suppressed or rounded to prevent the identification of individuals when the datasets are compiled and compared with other publicly available statistics. Values between 0 and 5 are shown as “--“ and all other values are rounded to the nearest multiple of 5. This may result to the sum of the figures not equating to the totals indicated.

  9. u

    Foreign-born Population, 2001: Population Immigrated before 1991 (by census...

    • beta.data.urbandatacentre.ca
    • data.urbandatacentre.ca
    Updated Sep 13, 2024
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    (2024). Foreign-born Population, 2001: Population Immigrated before 1991 (by census subdivision) - Catalogue - Canadian Urban Data Catalogue (CUDC) [Dataset]. https://beta.data.urbandatacentre.ca/dataset/gov-canada-e4bebb70-8893-11e0-a02b-6cf049291510
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    Dataset updated
    Sep 13, 2024
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Area covered
    Canada
    Description

    As of May 15, 2001, 5.4 million people, or 18.4% of the total population, were born outside the country. This was the highest proportion since 1931, when foreign-born people made up 22.2% of the population. In 1996, the proportion was 17.4%. The map shows the percentage of the total population that was foreign-born by census subdivision and immigrated before 1991.

  10. Immigration system statistics, year ending March 2023

    • gov.uk
    Updated Sep 4, 2023
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    Home Office (2023). Immigration system statistics, year ending March 2023 [Dataset]. https://www.gov.uk/government/statistics/immigration-system-statistics-year-ending-march-2023
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    Dataset updated
    Sep 4, 2023
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Home Office
    Description

    Immigration system statistics, year ending March 2023: data tables

    This release presents immigration statistics from Home Office administrative sources, covering the period up to the end of March 2023. It includes data on the topics of:

    • work
    • study
    • family
    • passenger arrivals and visitors
    • asylum
    • extensions of stay
    • settlement
    • citizenship
    • detention
    • returns

    Further information

    User Guide to Home Office Immigration Statistics
    Policy and legislative changes affecting migration to the UK: timeline
    Developments in migration statistics
    Publishing detailed datasets in Immigration statistics

    A range of key input and impact indicators are currently published by the Home Office on the Migration transparency data webpage.

    If you have feedback or questions, our email address is MigrationStatsEnquiries@homeoffice.gov.uk.

  11. e

    International Relations (October 1969) - Dataset - B2FIND

    • b2find.eudat.eu
    Updated Apr 25, 2023
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    (2023). International Relations (October 1969) - Dataset - B2FIND [Dataset]. https://b2find.eudat.eu/dataset/e9487a3a-7051-5b58-b0bb-c47ebb4cef87
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    Dataset updated
    Apr 25, 2023
    Description

    Judgement on American and Soviet foreign policy. Attitude to selected countries and NATO. Topics: Most important problems of the country; attitude to France, Germany, Great Britain, the USSR and the USA as well as perceived changes in the last few years; assumed reputation of one´s own country abroad; trust in the USA and the USSR to solve world problems; judgement on the agreement of words and deeds in foreign policy as well as the seriousness of the peace efforts of the two great powers; the USSR or the USA as current and as future world power in the military and scientific area as well as in space research; benefit of space travel; attitude to a strengthening of space flight efforts; knowledge about the landing on the moon; necessity of NATO; trust in NATO; judgement on the contribution of one´s own country to NATO; preference for acceptance of political functions by NATO; attitude to a reduction in US soldiers stationed in Western Europe; expected reductions of American obligations in Europe; probability of European unification; desired activities of government in the direction of European unification; preference for a European nuclear force; judgement on the disarmament negotiations between the USA and the USSR; expected benefit of such negotiations for one´s own country and expected consideration of European interests; increased danger of war from the new missile defense systems; prospects of the so-called Budapest recommendation; attitude to the American Vietnam policy; negotiating party that can be held responsible for the failure of the Paris talks; sympathy for Arabs or Israelis in the Middle East Conflict; preference for withdrawal of the Israelis from the occupied territories; attitude to an increase in the total population in one´s country and in the whole world; attitude to birth control in one´s country; attitude to economic aid for lesser developed countries; judgement on the influence and advantageousness of American investments as well as American way of life for one´s own country; autostereotype and description of the American character by means of the same list of characteristics (stereotype); general attitude to American culture; perceived increase in American prosperity; trust in the ability of American politics to solve their own economic and social problems; judgement on the treatment of blacks in the USA and determined changes; proportion of poor in the USA; comparison of proportion of violence or crime in the USA with one´s own country; general judgement on the youth in one´s country in comparison to the USA; assessment of the persuasiveness of the American or Soviet view; religiousness; city size. Also encoded was: length of interview; number of contact attempts; presence of other persons during the interview; willingness of respondent to cooperate; understanding difficulties of respondent. Beurteilung der amerikanischen und sowjetischen Außenpolitik. Einstellung zu ausgewählten Ländern und zur Nato. Themen: Wichtigste Probleme des Landes; Einstellung zu Frankreich, Deutschland, Großbritannien, UdSSR und USA sowie wahrgenommene Veränderungen in den letzten Jahren; vermutetes Ansehen des eigenen Landes im Ausland; Vertrauen in die USA und die UdSSR zur Lösung der Weltprobleme; Beurteilung der Übereinstimmung von Worten und Taten in der Außenpolitik sowie der Ernsthaftigkeit der Friedensbemühungen der beiden Großmächte; UdSSR oder USA als derzeitige und als künftige Weltmacht im militärischen, wissenschaftlichen Bereich sowie in der Weltraumforschung; Nutzen der Weltraumfahrt; Einstellung zu einer Verstärkung von Raumfahrtanstrengungen; Kenntnisse über die Mondlandung; Notwendigkeit der Nato; Vertrauen in die Nato; Beurteilung des Beitrags des eigenen Landes zur Nato; Präferenz für die Übernahme politischer Funktionen durch die Nato; Einstellung zu einer Verringerung der stationierten US-Soldaten in Westeuropa; erwartete Einschränkungen der amerikanischen Verpflichtungen in Europa; Wahrscheinlichkeit einer europäischen Vereinigung; gewünschte Aktivitäten der Regierung in Richtung europäische Einigung; Präferenz für eine europäische Atomstreitmacht; Beurteilung der Abrüstungsverhandlungen zwischen den USA und der UdSSR; erwarteter Nutzen solcher Verhandlungen für das eigene Land und erwartete Berücksichtigung der europäischen Interessen; erhöhte Kriegsgefahr durch die neuen Raketenabwehrsysteme; Aussichten des sogenannten Budapest-Vorschlags; Einstellung zur amerikanischen Vietnam-Politik; Verhandlungspartei, der die Mißerfolge der Pariser Gespräche zugeschrieben werden; Sympathie für die Araber oder Israelis im Nahost-Konflikt; Präferenz für einen Abzug der Israelis aus den besetzten Gebieten; Einstellung zu einer Erhöhung der Bevölkerungszahl im eigenen Land und auf der ganzen Welt; Einstellung zu einer Geburtenkontrolle im eigenen Land; Einstellung zur Wirtschaftshilfe an weniger entwickelte Länder; Beurteilung des Einflusses und der Vorteilhaftigkeit amerikanischer Investitionen sowie amerikanischer Lebensart für das eigene Land; Autostereotyp und Beschreibung des amerikanischen Charakters anhand der gleichen Eigenschaftsliste (Stereotyp); allgemeine Einstellung zur amerikanischen Kultur; wahrgenommene Steigerung des amerikanischen Wohlstands; Vertrauen in die Kompetenz amerikanischer Politik zur Lösung ihrer eigenen wirtschaftlichen und sozialen Probleme; Beurteilung der Behandlung von Schwarzen in den USA und festgestellte Veränderungen; Armenanteil in den USA; Vergleich des Gewaltanteils bzw. der Kriminalität in den USA mit dem eigenen Land; allgemeine Beurteilung der Jugend im eigenen Land im Vergleich zu den USA; Einschätzung der Überzeugungskraft amerikanischer bzw. sowjetischer Anschauung; Religiosität; Ortsgröße. Zusätzlich verkodet wurde: Interviewdauer; Anzahl der Kontaktversuche; Anwesenheit anderer Personen beim Interview; Kooperationsbereitschaft des Befragten; Verständnisschwierigkeiten des Befragten.

  12. Estimates of the number of non-permanent residents by type, quarterly

    • www150.statcan.gc.ca
    • ouvert.canada.ca
    • +1more
    Updated Jun 18, 2025
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    Government of Canada, Statistics Canada (2025). Estimates of the number of non-permanent residents by type, quarterly [Dataset]. http://doi.org/10.25318/1710012101-eng
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    Dataset updated
    Jun 18, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Government of Canadahttp://www.gg.ca/
    Area covered
    Canada
    Description

    This table provides quarterly estimates of the number of non-permanent residents by type for Canada, provinces and territories.

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

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(2024). Foreign-born Population, 2001: Foreign-born Population (by census division) [Dataset]. https://data.urbandatacentre.ca/dataset/gov-canada-e482eaf0-8893-11e0-9a3e-6cf049291510

Foreign-born Population, 2001: Foreign-born Population (by census division)

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Dataset updated
Oct 1, 2024
License

Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
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Description

As of May 15, 2001, 5.4 million people, or 18.4% of the total population, were born outside the country. This was the highest proportion since 1931, when foreign-born people made up 22.2% of the population. In 1996, the proportion was 17.4%. The map shows the percentage of the total population that was foreign-born by census division.

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