23 datasets found
  1. Germany FSO Projection: Population: Baden-Württemberg

    • ceicdata.com
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    CEICdata.com, Germany FSO Projection: Population: Baden-Württemberg [Dataset]. https://www.ceicdata.com/en/germany/population-projection-federal-statistics-office-germany/fso-projection-population-badenwrttemberg
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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, 2049 - Dec 1, 2060
    Area covered
    Germany
    Description

    Germany FSO Projection: Population: Baden-Württemberg data was reported at 10,467.000 Person th in 2060. This records a decrease from the previous number of 10,494.000 Person th for 2059. Germany FSO Projection: Population: Baden-Württemberg data is updated yearly, averaging 10,930.000 Person th from Dec 2014 (Median) to 2060, with 47 observations. The data reached an all-time high of 11,038.000 Person th in 2029 and a record low of 10,467.000 Person th in 2060. Germany FSO Projection: Population: Baden-Württemberg data remains active status in CEIC and is reported by Federal Statistics Office Germany. The data is categorized under Global Database’s Germany – Table DE.G002: Population: Projection: Federal Statistics Office Germany.

  2. German population as of 2024, by federal state

    • statista.com
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    Statista, German population as of 2024, by federal state [Dataset]. https://www.statista.com/statistics/1127686/population-by-federal-state-germany/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Dec 31, 2024
    Area covered
    Germany
    Description

    In 2024, the most populated federal state in Germany is North Rhine-Westphalia in the west, with a population of almost 18 million. The state capital is Düsseldorf. Bavaria and Baden-Württemberg in the south rounded up the top three, both with over 10 million inhabitants.

  3. e

    Population by gender and nationality- reference date 9.5.2011 -regional...

    • data.europa.eu
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    Population by gender and nationality- reference date 9.5.2011 -regional levels (Baden-Württemberg) [Dataset]. https://data.europa.eu/data/datasets/31303831-3231-4031-3130-313031354212?locale=en
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    atom feedAvailable download formats
    Area covered
    Baden-Württemberg
    Description

    Population by gender and nationality- reference date 9.5.2011 -regional levels (Baden-Württemberg)

  4. d

    Baden-Württemberg

    • deepfo.com
    csv, excel, html, xml
    Updated May 17, 2018
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    Deepfo.com by Polyolbion SL, Barcelona, Spain (2018). Baden-Württemberg [Dataset]. https://deepfo.com/en/most/Baden-Wurttemberg
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    excel, html, csv, xmlAvailable download formats
    Dataset updated
    May 17, 2018
    Dataset authored and provided by
    Deepfo.com by Polyolbion SL, Barcelona, Spain
    License

    https://deepfo.com/documentacion.php?idioma=enhttps://deepfo.com/documentacion.php?idioma=en

    Area covered
    Baden-Württemberg
    Description

    Baden-Württemberg. name, type, Area, capital city, Country, continent, population

  5. e

    Population by nationality, migration background and age years- 9.5.2011 –...

    • data.europa.eu
    atom feed
    Updated Jun 30, 2024
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    (2024). Population by nationality, migration background and age years- 9.5.2011 – regional depth: Circles and krfr. Cities (Baden-Württemberg) [Dataset]. https://data.europa.eu/data/datasets/31303831-3231-4031-3130-373031342412/embed
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    atom feedAvailable download formats
    Dataset updated
    Jun 30, 2024
    Description

    Population by nationality, migration background and age years- 9.5.2011 – regional depth: Circles and krfr. Cities (Baden-Württemberg)

  6. d

    Censuses in Wuerttemberg, 1834 to 1925

    • da-ra.de
    Updated Feb 21, 2023
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    Wolfgang Zimmermann; Gabriele Däumling; Julia Grosse; Melanie Prangen; Andrea Jautz; Regina Koch-Richter; Claudia Hierath; Bodo Heizmann; Florian Lenz (2023). Censuses in Wuerttemberg, 1834 to 1925 [Dataset]. http://doi.org/10.4232/1.14072
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    Dataset updated
    Feb 21, 2023
    Dataset provided by
    GESIS
    da|ra
    Authors
    Wolfgang Zimmermann; Gabriele Däumling; Julia Grosse; Melanie Prangen; Andrea Jautz; Regina Koch-Richter; Claudia Hierath; Bodo Heizmann; Florian Lenz
    Time period covered
    1834 - 1925
    Area covered
    Baden-Württemberg
    Description

    By joining the German Zollverein (Customs Union) in 1834, the Kingdom of Württemberg committed itself to conduct a census in a fixed three-year rhythm according to uniform criteria and with a recording scheme that was as precise as possible. The data obtained in the process formed the basis for the distribution of the common revenues of the German Customs Union. The Kingdom of Wurttemberg conducted the first census as part of the Zollverein on 15 December 1834. The basis of the censuses was the ´resident´ population, which according to the contemporary definition included all people who were present in the place on the reference date. Residents who were currently absent due to a journey were also taken into account. Men and women who were in transit in the census municipality were not included. Until 1858, the ´local´ population, i.e. the population living permanently in the village, was also counted. The data material of the Zollverein and Reich statistics was collected on the basis of the Oberamtslisten, which have survived in handwritten form (Landesarchiv Baden-Württemberg, Staatsarchiv Ludwigsburg, Bestand E 258 VIII). The data is available at the municipal, Oberamts and district level. The figures reflect the territorial status valid at the time of the census as well as the contemporary administrative division. Four Excel tables are available for each census, in which the data for the municipalities and head offices of a district are summarised. A crossed-out place name indicates that the municipality in question belonged to another Oberamt at the time of the census. Municipalities that were newly assigned to a Oberamt between 1834 and 1925 are usually added at the end of the Oberamt list. Information on the change of office affiliation can be found in the comment field. An asterisk after a place name (name of the city or village) indicates such supplementary information. The comment field opens as soon as the cursor is placed on the field of the place (city or village) concerned. The primary researchers supplemented the data material with historical maps. The maps of the four Württemberg districts are taken from the publication: ´Das Königreich Württemberg´ (The Kingdom of Württemberg), which was published by the State Statistical Office in four volumes between 1904 and 1907.´ Explanation of symbols 0 = Less than half of 1 in the last filled position, but more than nothing- = Nothing present (exactly zero). = Numerical value unknown or to be kept secretx = Table compartment locked because statement does not make sense... = Statement to be made later/ = No statement, as the numerical value is not certain enough() = Statement value limited, as the numerical value may contain errors Discrepancies in the totals can be explained by rounding the numbers. Place names that have been crossed out indicate that the municipality in question belonged to a different Oberamt at the time of the census. * An asterisk after a place name indicates information about the records in the comment field.´ Publication: CD-ROM: »Königreich Württemberg« Volkszählungen 1834 bis 1925. Statistisches Landesamt Baden-Württemberg. Zu bestellen unter: https://www.statistik-bw.de/Service/Veroeff/Statistische_Daten/900208001.bsE-Mail: vertrieb@stala.bwl.de

  7. d

    Replication Data for: Community size and electoral preferences: Evidence...

    • dataone.org
    • researchdata.edu.au
    • +2more
    Updated Dec 16, 2023
    + more versions
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    Fiorini, Luciana; Jetter, Michael; Parmeter, Christopher F; Parsons, Christopher (2023). Replication Data for: Community size and electoral preferences: Evidence from post-WWII Baden-Württemberg [Dataset]. http://doi.org/10.7910/DVN/ZJBOFQ
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    Dataset updated
    Dec 16, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Fiorini, Luciana; Jetter, Michael; Parmeter, Christopher F; Parsons, Christopher
    Area covered
    Baden-Württemberg
    Description

    We examine whether electoral preferences depend on a community's population size, studying post-WWII Baden-Württemberg in Southwest Germany. Our identification strategy exploits the fact that the French administration zone prohibited German expellees from entering, contrary to the contiguous American zone. Population size positively predicts voting for the Social Democrats (the party advocating substantial government involvement in practically all domains) and negatively predicts voting for the Christian Democrats (the small-government party advocating free-market policies). Results are neither driven by pre-existing voting patterns, religious compositions, location- and time-specific unobservables nor other measurable cultural, demographic, economic or political characteristics. Alternative explanations pertaining to expellee voting behavior or a backlash of natives against expellees appear unlikely -- population size prevails as a predominant voting predictor. (2023-05-15).

  8. e

    Population by sex, employment status and age groups - cut-off date...

    • data.europa.eu
    wms
    Updated Apr 4, 2022
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    (2022). Population by sex, employment status and age groups - cut-off date 09.05.2011 -regional depth: Circles and krfr. Category: Cities in Baden-Württemberg [Dataset]. https://data.europa.eu/data/datasets/31303831-3231-4031-3131-323031342411?locale=en
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    wmsAvailable download formats
    Dataset updated
    Apr 4, 2022
    Description

    Population by sex, employment status and age groups - cut-off date 09.05.2011 -regional depth: Circles and krfr. Category: Cities in Baden-Württemberg

  9. Number of foreigners in German federal states 2023

    • statista.com
    • ai-chatbox.pro
    Updated Jan 13, 2025
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    Statista (2025). Number of foreigners in German federal states 2023 [Dataset]. https://www.statista.com/statistics/891288/foreigner-numbers-by-state-germany/
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    Dataset updated
    Jan 13, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Dec 31, 2023
    Area covered
    Germany
    Description

    This statistic shows the number of foreigners in Germany according to the Central Register of Foreign Nationals in 2023, by state. In 2023, North-Rhine-Westphalia had the most foreign nationals at over 3.2 million, followed by Bavaria with almost 2.4 million and Baden-Württemberg with around 2.2 million. Foreigners are those who are not German based on Article 116, Paragraph 1 of the German constitution. These include stateless persons and those with unclear citizenship as well as the population group with a migration background. Individuals with a migration background can either have immigrated into Germany or been born in the country to at least one parent who was born a foreigner.

  10. Baden-Württemberg Share of population using internet at least once a week

    • knoema.de
    csv, json, sdmx, xls
    Updated Nov 27, 2018
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    Knoema (2018). Baden-Württemberg Share of population using internet at least once a week [Dataset]. https://knoema.de/atlas/Deutschland/Baden-W%C3%BCrttemberg/Share-of-population-using-internet-at-least-once-a-week
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    sdmx, json, csv, xlsAvailable download formats
    Dataset updated
    Nov 27, 2018
    Dataset authored and provided by
    Knoemahttp://knoema.com/
    Time period covered
    2006 - 2017
    Area covered
    Baden-Württemberg, Deutschland
    Variables measured
    Share of population using internet at least once a week, including every day
    Description

    87 (%) in 2017.

  11. d

    Longterm Online Tracking at State Election Baden-Württemberg 2016 (GLES)

    • da-ra.de
    Updated Apr 25, 2016
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    GLES (2016). Longterm Online Tracking at State Election Baden-Württemberg 2016 (GLES) [Dataset]. http://doi.org/10.4232/1.12531
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    Dataset updated
    Apr 25, 2016
    Dataset provided by
    GESIS Data Archive
    da|ra
    Authors
    GLES
    Time period covered
    Feb 26, 2016 - Mar 11, 2016
    Area covered
    Baden-Württemberg
    Description

    Politische Fragen (Issues). Politische Einstellungen und Verhaltensweisen. Meinungsbildung im Wahlkampf. Themen:Politisches Interesse (allgemein, Bund, Baden-Württemberg, Europa); Demokratiezufriedenheit (Deutschland, Bundesland, Europa); Wahlbeteiligungsabsicht; Wahlberechtigung, Wahlteilnahme und Wahlentscheidung zur BTW 2013; Beabsichtigte Stimmabgabe zur BTW (Erststimme und Zweitstimme); Hypothetische Stimmabgabe der Nichtwähler; Sympathie-Skalometer für Spitzenpolitiker (Angela Merkel, Sigmar Gabriel, Sahra Wagenknecht, Katrin Göring-Eckardt, Horst Seehofer, Christian Lindner, Frauke Petry, Cem Özdemir, Andrea Nahles, Wolfgang Schäuble); Zufriedenheit mit den Leistungen der Bundes- und Landesregierung (Skalometer); Zufriedenheit mit den Leistungen der einzelnen Regierungsparteien auf Bundes- (CDU, CSU, SPD) und Landesebene (Bündnis 90/Die Grünen, SPD) und den Oppositonsparteien auf Bundes- (Die Linke, Bündnis 90/Die Grünen) und Landesebene (CDU, FDP); Sympathie-Skalometer für ausgewählte Parteien auf Bundes- (CDU, CSU, SPD, Die Linke, Bündnis 90/Die Grünen, FDP, AfD) und Landesebene (CDU, SPD, Die Linke, Bündnis 90/Die Grünen, FDP/DVP, AfD); aktuelle, retrospektive und zukünftige Beurteilung der persönlichen wirtschaftlichen Lage; Veranwortlichkeit der Politik von Bund, Land und EU für die eigene wirtschaftliche Lage; aktuelle, retrospektive und zukünftige Beurteilung der wirtschaftlichen Lage Deutschlands und Baden-Württembergs; Verantwortlichkeit der Politik von Bund, Land und EU für die wirtschaftliche Lage Deutschlands und Baden-Württembergs; Wichtigstes und zweitwichtigstes Problem auf Bundes- und Landesebene und Problemlösungskompetenz der Parteien; Interesse am Wahlkampf (LTW); wichtigste Informationsquelle zur politischen Information allgemein und zur LTW; Nutzung und Rezeptionshäufigkeit von Tageszeitungen (Bild-Zeitung, Frankfurter Rundschau, Frankfurter Allgemeine Zeitung, Süddeutsche Zeitung, die tageszeitung, Die Welt, Lokal- oder Regionalzeitung, Online Zeitung, andere Tageszeitung); Nutzung und Rezeptionshäufigkeit von Wochenzeitschriften in Print- und Online-Ausgabe (Der Spiegel, Focus, Stern, Die Zeit); Nutzung und Rezeptionshäufigkeit von Nachrichtensendungen (Tagesschau/Tagesthemen (ARD), Heute/Heute Journal (ZDF), RTL Aktuell, Sat.1 Nachrichten, Pro 7 Newstime); Internetnutzung allgemein und zur politischen Information; Internetnutzung spezifischer Seiten; Wahlberechtigung und Wahlbeteiligungsabsicht zur LTW; Beabsichtigte Stimmabgabe zur LTW; Stimmabgabe bei Briefwahl zur LTW; Hypothetische Stimmabgabe der Nichtwähler zur LTW; Hypothetische Wahlbeteiligung und Stimmabgabe der Personen unter 18 zur LTW; Sicherheit der Wahlabsicht zur LTW; Wichtigkeit der Landes-, Bundes- und Europapolitik für die Wahlentscheidung zur LTW; Wichtigkeit Ausgang der LTW; Sympathie-Skalometer für Landespolitiker (Guido Wolf, Winfried Kretschmann, Nils Schmid, Bernd Riexinger, Hans-Ulrich Rülke, Jörg Meuthen; Bewertung der Eigenschaften (durchsetzungsfähig, vertrauenswürdig, sympathisch, vertritt vernünftige wirtschaftliche Vorstellungen, repräsentiert Werte der Partei) der Spitzenkandidaten (Wolf, Kretschmann); Präferenz Ministerpräsident, LTW; Ebenen der Problemlösung im Bereich Umweltschutz, Kampf gegen das organisierte Verbrechen, Landwirtschaft, Verteidigung, Soziale Sicherheit, Entwicklungshilfe, Einwanderung und Flüchtlinge, Terrorismus, Renten, Arbeitslosigkeit, Gesundheitswesen, Bildungswesen, Wirtschaft, Polizei und Strafverfolgung); Erwartete Koalitionen LTW (Rot-Grüne Koalition, Große Koalition, Schwarz-Grüne Koalition, Jamaika-Koalition, Ampel-Koalition, Schwarz-Gelbe Koalition, Rot-Rot-Grüne Koalition, CDU und AfD); Sympathie-Skalometer Koalitionen LTW (Rot-Grüne Koalition, Große Koalition, Schwarz-Grüne Koalition, Jamaika-Koalition, Ampel-Koalition, Schwarz-Gelbe Koalition, Rot-Rot-Grüne Koalition, CDU und AfD); Einzugswahrscheinlichkeit der kleinen Parteien (FDP, Die Linke, AfD); Vergleich der wirtschaftlichen Lage Baden-Württembergs zu anderen Bundesländern; Parteikontakte zur LTW (Wahlveranstaltungen, E-Mails, Infomaterial, Wahlanzeigen, Plakate, Wahlkampfstand, Werbesendungen Fernsehen, Hausbesuche, Telefonanrufe, Internet); Bewertung des Wahlkampfes für die persönliche Wahlentscheidung; Netzwerkgröße; Häufigkeit politischer Gespräche allgemein und zur LTW im sozialen Umfeld; Einschätzung der politischen Kompetenz von und Beziehung zu Gesprächspartner; Häufigkeit politischer Meinungsverschiedenheiten mit Gesprächspartner; Wahlentscheidung zur BTW und LTW der Gesprächspartner; Wahlbeteiligung in Nachbarschaft und Bekanntenkreis zur LTW; Beurteilung der Unterschiede der Regierungspolitik verschiedener Parteien auf Bundes- und Landesebene; Einstufung der Parteien (Bundes- und Landesebene) und Selbsteinstufung auf dem Links-Rechts-Kontinuum (Skalometer); Beurteilung der Unterschiede zwischen den Parteien auf Bundes- und Landesebene; Positionsissues (Parteien, Ego, Salienz): sozioökonomis...

  12. Purchasing power per capita in Germany 2023, by federal state

    • statista.com
    Updated Jul 3, 2025
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    Statista (2025). Purchasing power per capita in Germany 2023, by federal state [Dataset]. https://www.statista.com/statistics/1283952/purchasing-power-per-capita-in-german-states/
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    Dataset updated
    Jul 3, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Germany
    Description

    In 2023, the German state of Bavaria recorded the highest per capita purchasing power at ****** euros. Hamburg and Baden-Württemberg in the south rounded up the top three. According to the source, purchasing power refers to disposable income (net income without taxes and social security payments, including received transfer payments) of the population in a certain region. In recent years, Germany saw a varying disparity between disposable income and consumer spending in private households.

  13. g

    Die deutschen Vertriebenen in der Bundesrepublik Deutschland von 1939 bis...

    • search.gesis.org
    • datacatalogue.cessda.eu
    • +2more
    Updated Apr 13, 2010
    + more versions
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    Besser, Christoph (2010). Die deutschen Vertriebenen in der Bundesrepublik Deutschland von 1939 bis 1990 [Dataset]. http://doi.org/10.4232/1.8217
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    (213309)Available download formats
    Dataset updated
    Apr 13, 2010
    Dataset provided by
    GESIS Data Archive
    GESIS search
    Authors
    Besser, Christoph
    License

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

    Time period covered
    1939 - 1990
    Area covered
    Germany
    Description

    The Second World War did not only cause many deaths but also leaded to broad changes in the population and settlement structure. This data compilation shows selected consequences of population movements in the context of the displacement of persons on the population structure in the Federal Republic of Germany and partly also in the German Democratic Republic. Under the command of the first federal minister for matters concerning displaced persons Hans Lukaschek the term ‘displaced persons’ was defined nationwide in the federal expellee law (find the legislative text attached).
    The data compilation is passed on data published by the Federal Statistical Office and on data from selected scientific publications. The study in hand is subdivided in section A which is based on publications from the Federal Statistical Office and section B which is based on different individual scientific publications.

    Subsection A1 contains selected data from censuses and extrapolations from censuses from sources of the Federal Statistical Office. Subsection A2 contains selected data from the micro census from sources of the Federal Statistical Office. Subsection B1 contains selected data from a publication by Heinz Günter Steinberg. Subsection B2 contains selected data from a publication by Gerhard Reichling. Subsection B2 contains selected data from a publication by Friedrich Edding and Eugen Lemberg.

    Data tables in HISTAT:

    A: Federal Statistical Office A1: Results and extrapolations from the censuses
    A1.01 Resident population and displaced persons in 1000 by federal states, end-of-year values (1945-1966) A1.02 Displaced persons in 1000 by federal states, half-year values (1946-1956) A1.03 Influx of displaced persons by sex and federal state (1952-1960) A1.04a Displaced persons altogether in the federal territory by age in 1000 (1950-1953) A1.04b Male displaced persons in the federal territory by age in 1000 (1950-1953) A1.04c Female displaced persons in the federal territory by age in 1000 (1950-1953) A1.05 Displaced persons in the federal territory by age groups in 1000 (1950-1966) A1.06 Resettlement of displaced persons (1949-1962) A1.07 Marriages of displaced persons and the rest of the population in the FRG (1950-1960) A1.08 Marriages of displaced persons and the rest of the population in the FRG in absolute numbers in the different federal states (1950-1960)

    A2: Results from the micro census A2.01 Displaced persons among the resident population by sex and federal state in 1000 (1958-1973) A2.02a Displaced persons among the resident population by sex and age group in the FRG in 1000 (1958-1973) A2.02b Displaced persons among the resident population by sex and age group in Schleswig-Holstein in 1000 (1958-1973) A2.02c Displaced persons among the resident population by sex and age group in Hamburg in 1000 (1958-1973) A2.02d Displaced persons among the resident population by sex and age group in Niedersachsen in 1000 (1958-1973) A2.02e Displaced persons among the resident population by sex and age group in Bremen in 1000 (1958-1973) A2.02f Displaced persons among the resident population by sex and age group in Nordrhein-Westfalen in 1000 (1958-1973) A2.02g Displaced persons among the resident population by sex and age group in Hessen in 1000 (1958-1973) A2.02h Displaced persons among the resident population by sex and age group in Rheinland-Pfalz in 1000 (1958-1973) A2.02i Displaced persons among the resident population by sex and age group in Baden-Württemberg in 1000 (1958-1973) A2.02j Displaced persons among the resident population by sex and age group in Bayern in 1000 (1958-1973) A2.02k Displaced persons among the resident population by sex and age group in West-Berlin in 1000 (1958-1973) A2.02l Displaced persons among the resident population by sex and age group in Saarland in 1000 (1958-1973) A2.03 Displaced persons among the resident population by federal sate and civil status in 1000 (1958-1973)

    B: Scientific publications B1: Steinberg: Population development in Germany in the Second World War B1.01 Changes in population in German states (1939-1946) B1.02 Regional development of the civilian population in Germany (1939-1945) B1.03 Displaced persons in Germany by territory and date of displacement (1944-1955) B1.04 Arrival of displaced persons in Germany by territory of displacement (1944-1955) B1.05 Selected data on socio-economic development in Germany (1946-1987) B1.06 Regional development of population in the...

  14. Demographic data of TB cases belonging to different clusters categories in...

    • plos.figshare.com
    xls
    Updated May 31, 2023
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    Marta Andrés; Elke Göhring-Zwacka; Lena Fiebig; Martin Priwitzer; Elvira Richter; Sabine Rüsch-Gerdes; Walter Haas; Stefan Niemann; Bonita Brodhun (2023). Demographic data of TB cases belonging to different clusters categories in Baden-Württemberg (Germany). [Dataset]. http://doi.org/10.1371/journal.pone.0188356.t003
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    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Marta Andrés; Elke Göhring-Zwacka; Lena Fiebig; Martin Priwitzer; Elvira Richter; Sabine Rüsch-Gerdes; Walter Haas; Stefan Niemann; Bonita Brodhun
    License

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

    Area covered
    Baden-Württemberg, Germany
    Description

    Demographic data of TB cases belonging to different clusters categories in Baden-Württemberg (Germany).

  15. g

    Landtagswahl in Baden-Württemberg 1968 (Nachuntersuchung)

    • search.gesis.org
    • pollux-fid.de
    • +1more
    Updated Feb 27, 2012
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    Klingemann, Hans-Dieter (2012). Landtagswahl in Baden-Württemberg 1968 (Nachuntersuchung) [Dataset]. http://doi.org/10.4232/1.11197
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    application/x-spss-sav(995887), application/x-stata-dta(1029047)Available download formats
    Dataset updated
    Feb 27, 2012
    Dataset provided by
    GESIS Data Archive
    GESIS search
    Authors
    Klingemann, Hans-Dieter
    License

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

    Area covered
    Baden-Württemberg
    Variables measured
    v1 -, v2 -, v3 -, v4 -, v5 -, v6 -, v7 -, v8 -, v9 -, v10 -, and 898 more
    Description

    Political attitudes; voting decision and right-wing radical tendencies. Political and social conditions for growth of a right-wing radical party.

    Topics: judgement on the economic situation; voting participation and voting behavior in the state elections 1964 and 1968 and in the federal election 1965; voting intent; time of decision and reasons for voting decision; sympathy scale for CDU, SPD, FDP, NPD, democratic left and for politicians; attitude to the NPD and to nationalism; definition of ´liberal´; characterization of parties and their competence in economic and foreign policy questions; attitude to the grand coalition and coalition preferred for the formation of the state government; sources of political information; interest in politics; assumed party preference of colleagues, neighbors, friends, siblings, spouse and father; attitudes to trade unions, entrepreneurs, the right to strike, agrarian policy, foreign aid; student unrest; APO; armament expenditures; nationalization of key industries; recognition of the Eastern borders; initiating official relations with the GDR; eliminating the prohibition of the German Communist Party (KPD) and political activities of former NSDAP-members; attitude to the opposition and to the FDP; attitude to candidates without religious denomination; degree of familiarity of FDP-politicians; relationship of the FRG to the USA; perceived influence of pressure groups on German policy; membership in associations and organizations; personal opinion leadership; social relations; satisfaction with housing; self-assessment of social class.

    Demography: age (classified); sex; marital status; religious denomination; religiousness; school education; vocational training; occupation; employment; income; household income; size of household; composition of household; head of household.

    Interviewer rating: city size; social class of respondent.

  16. d

    State Parliament Election in Baden-Wuerttemberg 1992

    • da-ra.de
    Updated 1992
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    GESIS Data Archive (1992). State Parliament Election in Baden-Wuerttemberg 1992 [Dataset]. http://doi.org/10.4232/1.2301
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    Dataset updated
    1992
    Dataset provided by
    da|ra
    GESIS Data Archive
    Time period covered
    Mar 1992 - Apr 1992
    Area covered
    Baden-Württemberg
    Description

    Sample of persons from the residential population eligible to vote according to the RLD procedure

  17. g

    Landtagswahl in Baden-Württemberg 1968 (Voruntersuchung, März 1968)

    • search.gesis.org
    • datacatalogue.cessda.eu
    • +1more
    Updated Feb 27, 2012
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    Adrian, Wolfgang; Berger, Manfred (2012). Landtagswahl in Baden-Württemberg 1968 (Voruntersuchung, März 1968) [Dataset]. http://doi.org/10.4232/1.11201
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    application/x-spss-sav(763871), application/x-stata-dta(735632)Available download formats
    Dataset updated
    Feb 27, 2012
    Dataset provided by
    GESIS Data Archive
    GESIS search
    Authors
    Adrian, Wolfgang; Berger, Manfred
    License

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

    Area covered
    Baden-Württemberg
    Variables measured
    v1 -, v2 -, v3 -, v4 -, v5 -, v6 -, v7 -, v8 -, v9 -, v10 -, and 286 more
    Description

    Political activities and political attitudes of voters in Baden-Wuerttemberg on political questions at federal and state level.

    Topics: The questionnaire is for the most part identical to the content of ZA Study No. 0519. Beyond this the following questions were posed: party membership and political activity within party; earlier party membership and current intents to join; political self-image as party member; assumed party preference of colleagues, neighborhood, friends and acquaintances.

    Demography: age; sex; marital status; number of children; religious denomination; religiousness; vocational training; occupation; professional position; employment; professional career; type of company; income; household income; size of household; composition of household; head of household; housing situation; social origins; refugee status; possession of assets.

    Interviewer rating: city size.

  18. g

    Politik in Baden-Württemberg, in Rheinland-Pfalz und im Saarland...

    • search.gesis.org
    • datacatalogue.cessda.eu
    • +1more
    Updated Apr 13, 2010
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    MARPLAN, Offenbach (2010). Politik in Baden-Württemberg, in Rheinland-Pfalz und im Saarland (Kumulierter Datensatz) [Dataset]. http://doi.org/10.4232/1.2047
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    application/x-stata-dta(2241317), application/x-spss-sav(2290232), application/x-spss-por(4545916)Available download formats
    Dataset updated
    Apr 13, 2010
    Dataset provided by
    GESIS Data Archive
    GESIS search
    Authors
    MARPLAN, Offenbach
    License

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

    Area covered
    Rhineland-Palatinate, Saarland, Baden-Württemberg
    Variables measured
    V1 -, V2 -, V3 -, V4 -, V5 -, V6 -, V7 -, V8 -, V9 -, V10 -, and 246 more
    Description

    Judgement on parties and politicians in the Saarland, in Baden-Wuerttemberg and in Rhineland-Palatinate. Attitude to current political questions.

    Topics: judgement on the economic situation and further development in the FRG as well as in one´s state; expected development of personal prosperity; interest in politics; most important political tasks in the FRG as well as in one´s state; importance of political issues and issue ability of the parties and selected politicians; personal opinion allegiance or personal opinion leadership; degree of familiarity of state politicians and their functions in government; party preference on the levels of municipal election, state parliament election, Federal Parliament election and European Election (Sunday question, ballot procedure); behavior at the polls in earlier elections and change of party preference; certainty of one´s voting decision; expected election winner; party inclination; party identification; duration of party inclination; positive and negative characteristics of selected top politicians; satisfaction with government or government coalition and individual parties; most active party in the state; self-assessment on a left-right continuum as well as classification of parties and prime minister candidates on a 20-step left-right continuum; degree of opinion agreement with politicians and change of this agreement; judgement on capability of selected politicians; satisfaction with the political system in the Federal Republic; particularly preferred state politicians; preferred top politician for a coalition government; behavior at the polls given earlier elections; attitude to firm statement of willingness to form a coalition before election; attitude to current state government and attitude to continuation of the coalition government (scale).

    Demography: sex; birthday; age; religious denomination; frequency of church attendance; self-assessment of social class; marital status; employment of spouse; party inclination of partner; school degree; employment; earlier employment; occupational group; type of income; union membership; position in household; position regarding head of household; characteristics of head of household; size of household; composition of household; number of persons with their own income; net household income.

    Interviewer rating: city size; presence of other persons during interview; willingness of respondent to cooperate and reliability of responses; length of interview.

  19. 德国 FSO Projection:人口:巴登 - 符腾堡州

    • ceicdata.com
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    CEICdata.com, 德国 FSO Projection:人口:巴登 - 符腾堡州 [Dataset]. https://www.ceicdata.com/zh-hans/germany/population-projection-federal-statistics-office-germany/fso-projection-population-badenwrttemberg
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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, 2049 - Dec 1, 2060
    Area covered
    德国, 巴登-符腾堡州, 德国
    Description

    FSO Projection:人口:巴登 - 符腾堡州在12-01-2060达10,467.000千人,相较于12-01-2059的10,494.000千人有所下降。FSO Projection:人口:巴登 - 符腾堡州数据按年更新,12-01-2014至12-01-2060期间平均值为10,930.000千人,共47份观测结果。该数据的历史最高值出现于12-01-2029,达11,038.000千人,而历史最低值则出现于12-01-2060,为10,467.000千人。CEIC提供的FSO Projection:人口:巴登 - 符腾堡州数据处于定期更新的状态,数据来源于Federal Statistics Office Germany,数据归类于全球数据库的德国 – 表 DE.G002:人口:预测:德国联邦统计局。

  20. f

    Data_Sheet_1_Tübingen model study: large-scale introduction of rapid antigen...

    • frontiersin.figshare.com
    bin
    Updated Oct 24, 2023
    + more versions
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    Jule Ayran; Carsten Köhler; Le Thi Kieu Linh; Gisela Schneider; Srinivas Reddy Pallerla; Florian Battke; Lisa Federle; Peter Martus; Peter G. Kremsner; Thirumalaisamy P. Velavan (2023). Data_Sheet_1_Tübingen model study: large-scale introduction of rapid antigen testing in the population and the viral dynamics of SARS-CoV-2.XLSX [Dataset]. http://doi.org/10.3389/fpubh.2023.1159622.s001
    Explore at:
    binAvailable download formats
    Dataset updated
    Oct 24, 2023
    Dataset provided by
    Frontiers
    Authors
    Jule Ayran; Carsten Köhler; Le Thi Kieu Linh; Gisela Schneider; Srinivas Reddy Pallerla; Florian Battke; Lisa Federle; Peter Martus; Peter G. Kremsner; Thirumalaisamy P. Velavan
    License

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

    Area covered
    Tübingen
    Description

    Despite of contact restrictions, population mobility remains the main reason for the spread of SARS-CoV-2. The state of Baden-Württemberg (BW), Germany, approved a model study in Tübingen (TÜMOD) to evaluate how mandatory rapid diagnostic tests (RDT) could reduce transmission. Between 16 March and 24 April 2021, approximately 165,000 residents and visitors to the city were screened for SARS CoV-2 infection using Abbott Panbio™ COVID-19 Antigen rapid test device. We assessed incidences and recorded epidemiological characteristics in a subset of 4,118 participants recruited at three of the nine testing stations. PCR tests were performed in RDT-positives to determine the positive predictive value (PPV), and circulating variants of SARS-CoV-2 were identified by whole-genome sequencing. 2,282 RDT-negative samples were tested by pooled PCR to calculate the false negative rate (FNR). Viral load was compared between variants. 116 (3%) participants were positive by RDT, and of these, 57 (49%) were positive by PCR, 55 (47%) were negative. This resulted in a PPV of 51%. Of the 57 positives, 52 SARS-CoV-2 genomes were successfully sequenced. Of these, 50 belonged to the B.1.1.7 lineage, which had a high viral load (average Ct = 19). Of the 2,282 RDT negatives tested, all were PCR negative (FNR 0%). At the end of TÜMOD, the incidence in Tübingen, which was initially lower, had reached the incidence in the state of BW. While it is difficult to assess the impact of TÜMOD on incidence independent of confounding factors, further studies are needed to identify the effect of close-meshed testing on infection rates.

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CEICdata.com, Germany FSO Projection: Population: Baden-Württemberg [Dataset]. https://www.ceicdata.com/en/germany/population-projection-federal-statistics-office-germany/fso-projection-population-badenwrttemberg
Organization logo

Germany FSO Projection: Population: Baden-Württemberg

Explore at:
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, 2049 - Dec 1, 2060
Area covered
Germany
Description

Germany FSO Projection: Population: Baden-Württemberg data was reported at 10,467.000 Person th in 2060. This records a decrease from the previous number of 10,494.000 Person th for 2059. Germany FSO Projection: Population: Baden-Württemberg data is updated yearly, averaging 10,930.000 Person th from Dec 2014 (Median) to 2060, with 47 observations. The data reached an all-time high of 11,038.000 Person th in 2029 and a record low of 10,467.000 Person th in 2060. Germany FSO Projection: Population: Baden-Württemberg data remains active status in CEIC and is reported by Federal Statistics Office Germany. The data is categorized under Global Database’s Germany – Table DE.G002: Population: Projection: Federal Statistics Office Germany.

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