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Swiss Election Study (Selects), cumulative dataset 1971-2023
No full textThe Project's History: Swiss national parliamentary elections are frequently considered "low salience" elections. On the one hand, the emphasis on direct democratic elements in the Swiss constitution provides citizens with extensive opportunities to exert institutionalized political influence beyond the parliamentary channel. On the other hand, shifts in political parties' electoral fortunes did not have any consequences for government composition between 1959 and 2003, due to an informal agreement called the "Zauberformel" (magic formula) between the major Swiss parties. The interest in national elections has thus been rather limited for a long time – not only on the part of the Swiss electorate (turnout between 1971 and 2023 has mostly been under 50%), but also on the part of academic electoral research: No single election survey had been conducted until the early 1970s. After two initial surveys in the wake of the 1971 (Sidjanski et al. 1975) and 1975 federal elections (Barnes and Kaase 1979), the 1979 election witnessed the launch of the first VOX survey realized by the Swiss Society for Applied Social Research (GfS) and the University of Bern (Hertig 1980). Thereafter, VOX surveys have accompanied the subsequent federal elections of 1983, 1987 and 1991, and a booklet has been published on each of them (Longchamp 1984, 1988; Longchamp and Hardmeier 1992). Although the VOX surveys could have laid the foundation of a Swiss national election study, these data collection efforts did not trigger many follow-up secondary analyses. Scholars interested in voting behaviour still focused much more on referendums and initiatives than on parliamentary elections – as did the VOX surveys. It was probably the growing polarization of Swiss politics and the rise of the populist right in the early 1990s that generated a new surge of interest in federal elections. The 1995 election constituted, in Peter Farago's (1995) words, a “new start” in this respect, with the formation of the Swiss Election Study (Selects) project, initially an association of the political science departments of the universities of Bern, Geneva and Zurich. Since then, large-scale surveys have been carried out within the framework of the Selects project for the federal elections of 1995 (Farago 1996; Kriesi et al. 1998), 1999 (Hirter 2000; Sciarini et al. 2003), 2003 (Selb and Lachat 2004; Bühlmann et al. 2006), 2007 (Lutz 2008), 2011 (Lutz 2012), 2015 (Lutz 2016), 2019 (Tresch et al. 2020), and 2023 (Tresch et al. 2024), finally resulting in not only a consolidation but also in a massive expansion of electoral research in Switzerland. One of the primary aims of Selects has been to systematically combine the new survey data with data collected by its precursor research projects. The fact that two complete data collections – those of the 1979 and 1983 VOX election surveys – were lost illustrates the importance of this task. In doing so, Selects has intended to provide a database that facilitates otherwise troublesome longitudinal studies of Swiss elections and voting behaviour (Lachat 2004; Trechsel 1995). The product of these efforts is presented here: A pooled set of Swiss election survey data which covers the period between 1971 and 2023 and includes most of the variables that have been included at least twice in the data collections. Election Surveys Used: All the available Swiss election surveys were used to build up this database. Most of them are archived and documented on SWISSUbase: Political Attitudes and Behaviour in Switzerland 1971/72, conducted by the Department of Political Science, University of Geneva (see https://doi.org/10.23662/FORS-DS-1-1) Political Attitudes in Switzerland 1975 (Political Action), conducted by the Department of Political Science, University of Geneva (see https://doi.org/10.23662/FORS-DS-2-1) National and Federal Council Elections 1979, conducted by the Department of Psychology, University of Zurich, on behalf of the Tages Anzeiger (see https://doi.org/10.23662/FORS-DS-25-1) National Elections 1987 (VOX), conducted by the Research Center for Swiss Politics, University of Bern, and GfS National Elections 1991 (VOX), conducted by the Research Center for Swiss Politics, University of Bern, and GfS Swiss Electoral Studies (Selects) 1995: Post-Election Survey, conducted by the Departments of Political Science, Universities of Bern, Geneva, and Zurich (see https://doi.org/10.48573/pzpq-yk17) Swiss Electoral Studies (Selects) 1999: Post-Election Survey, conducted by the Departments of Political Science, Universities of Bern, Geneva, and Zurich (see https://doi.org/10.48573/9ex9-fp54) Swiss Electoral Studies (Selects) 2003: Post-Election Survey, conducted by the Departments of Political Science, Universities of Bern, Geneva, St. Gall, and Zurich, DARISS and OVP/USTAT (see https://doi.org/10.48573/6rce-2b88) Swiss Electoral Studies (Selects) 2007: Post-Election Survey, conducted by the Departments of Political Science, Universities of Bern, Geneva, Lausanne, St. Gall, and Zurich, FORS, OVP/USTAT, FSO and the Federal Chancellery (see https://doi.org/10.48573/veff-nb25) Swiss Electoral Studies (Selects) 2011: Post-Election Survey, conducted by FORS (see https://doi.org/10.48573/tg0e-8a04) Swiss Electoral Studies (Selects) 2015: Post-Election Survey, conducted by FORS (see https://doi.org/10.23662/FORS-DS-726-5) Swiss Election Study (Selects) 2019: Post-Election Survey, conducted by FORS (see https://doi.org/10.23662/FORS-DS-1179-2) Swiss Election Study (Selects) 2023: Post-Election Survey, conducted by FORS (see https://doi.org/10.48573/q99z-aa77) As already mentioned, the VOX 1979 and 1983 survey data were lost. While the department of psychology of the University of Zurich did a parallel election study in 1979 which we used to substitute the former, there is absolutely no replacement for the latter. Thus we are left with 13 national election surveys over a period of 52 years so far
Surface Groups Uruguay 1984-2021
No full textThis project develops a novel procedure for proxying economic activity with daytime satellite imagery across time periods and spatial units, for which reliable data on economic activity are otherwise not available. In developing this unique proxy, we apply machine-learning techniques to a historical time series of daytime satellite imagery from the Landsat program dating back to 1984. Compared to satellite data on night light intensity, another common economic proxy, our proxy more precisely predicts economic activity at smaller regional levels and over longer time horizons. Our procedure is generalizable to any region in the world, and it has great potential for analyzing historical economic developments, evaluating local policy reforms, and controlling for economic activity at highly disaggregated regional levels in econometric applications. Therefore, we produce our proxy for any region in the world and publish the data as georeferend TIF files in this repository. In our paper, we demonstrate our measure’s usefulness for the example of Germany, where East German data on economic activity are unavailable for detailed regional levels and historical time series
Transgender Italy (2023-2024)
No full textThe Transgender Italy dataset was produced as part of an Italian Master's thesis project entitled "Transgender: a quantitative look at discrimination, gender affirmation, and life satisfaction". The project had a twofold objective: on the one hand, to provide a quantitative description of the experiences of Italian transgender people in terms of discrimination, gender affirmation path and self-determination; on the other hand, to study the effect of the gender affirmation path on transgender people's satisfaction, taking into account the dimension of self-determination and the heterogeneity of experiences. The dataset includes data collected through an online questionnaire administered to 132 Italian transgender adults. Given the characteristics of the target population, sampling is not probabilistic. The questions are divided into four sections: - demographic information: age, place of residence, education, employment status and economic condition; - discrimination experienced as a transgender person: in general terms and in seven specific areas of social life; - path to gender affirmation; - quality of social relations and the attachment to the transgender community
Participation Survey, 2024-2025
No full textAbstract copyright UK Data Service and data collection copyright owner.The Participation Survey is a continuous push-to-web survey of adults aged 16 and over in England. It serves as a successor to the Taking Part survey, which ran for 16 years as a continuous face to face survey. Paper surveys are available for those not digitally engaged. Fieldwork started in October 2021 and it is envisaged that the survey will be a key evidence source for Department for Digital, Culture, Media and Sport (DCMS) and its sectors by providing statistically representative national estimates of adult engagement with the DCMS sectors. The survey’s main objectives are to: Provide a central, reliable evidence source that can be used to analyse cultural, digital, and sporting engagement, providing a clear picture of why people do or do not engage. Provide data at a county level to meet user needs, including providing evidence for the levelling up agenda. Underpin further research on driving engagement and the value and benefits of engagement.Further information on the survey can be found on the gov.uk Participation Survey webpage.For 2024-2025 annual data the fieldwork period was from 10th April 2024 - 2nd April 2025. Participants in the survey are randomly selected from addresses from the Post Office’s list of addresses in England. This ensures results reflect the experiences and views of the whole population.Main Topics:The Participation Survey collects data on engagement in: the arts libraries heritage museums and galleries tourism major cultural events major sporting events sport gambling digital sectors The survey includes information on frequency of participation, reasons for participating, barriers to participation and attitudes to the sectors. Information is also gathered on demographics (e.g. age, education), and related areas including wellbeing, loneliness, and use of digital technology.</p
Quarterly National Household Survey (QNHS) Module on Pensions, 2005-2008
No full textThe Quarterly National Household Survey (QNHS) began in September 1997 and ran until Q2 2017 when it was replaced by the Labour Force Survey (LFS). While the main purpose of the QNHS was the production of quarterly labour force estimates, there is also a provision for the collection of data on social topics through the inclusion of special survey modules. The QHNS also conducted special modules on different social topics each quarter. This is the special modules on pensions from 2005-2008. Please note that due to CSO restrictions, these files cannot be matched to their associated microdata file
Quarterly National Household Survey (QNHS) Module on Pensions, Q1 2002
No full textThe Quarterly National Household Survey (QNHS) began in September 1997 and ran until Q2 2017 when it was replaced by the Labour Force Survey (LFS). While the main purpose of the QNHS was the production of quarterly labour force estimates, there is also a provision for the collection of data on social topics through the inclusion of special survey modules. The QHNS also conducted special modules on different social topics each quarter. This special module was on pensions. Please note that due to CSO restrictions, these files cannot be matched to their associated microdata file
GLES Panel 2024, Wave 28
No full textThe questionnaire of Wave 28 covers questions on general political and societal attitudes, positions on political and social issues, evaluations of political candidates, parties, and institutions, as well as voting behavior, political knowledge, media usage and personal values of the respondents.The German Longitudinal Election Study (GLES) is the central infrastructure project in Germany for the continuous collection and provision of high-quality data for national and international election research. The methodologically diverse surveys of the GLES enable the research of political attitudes and behavior of voters and candidates. Since its foundation, the GLES has been conducted in close cooperation between the German Society for Electoral Research (DGfW) and GESIS – Leibniz Institute for the Social Sciences. Sample A of the GLES Panel consists of quota-based selections of eligible German voters from several non-probability online panels, divided into five subsamples. Participants in the 2017 election campaign surveys were drawn from the main sample A1 (2016), the recontact sample A2 (2013), and the refreshment sample A3 (2017) of the GLES Short-term Campaign Panel 2017. Sample A was further supplemented by refreshment samples A4 for the 2021 election campaign (2020) and A5 for the 2025 election campaign (2024). For the early federal election in 2025, active participants were surveyed up to five times throughout the election campaign and after the federal election. The GLES Panel surveys continue to enable diverse and in-depth analyses of the impact of political events and election campaigns on changes in political attitudes and decision-making processes.Die Panelwelle 28 umfasst Fragen zu allgemeinen politischen und gesellschaftlichen Einstellungen, Positionen zu politischen und gesellschaftlichen Themen, Bewertungen politischer Kandidatinnen und Kandidaten, Parteien und Institutionen sowie zum Wahlverhalten, politischen Wissen, Mediennutzungsverhalten und persönlichen Werten der befragten Personen.Die German Longitudinal Election Study (GLES) ist das zentrale Infrastrukturprojekt in Deutschland für die kontinuierliche Erhebung und Bereitstellung von qualitativ hochwertigen Daten für die nationale und internationale Wahlforschung. Die methodisch vielfältigen Umfragen der GLES ermöglichen die Untersuchung der politischen Einstellungen und Verhaltensweisen der Wählerinnen und Wähler sowie der Kandidatinnen und Kandidaten. Die GLES wird seit Bestehen in enger Kooperation zwischen der Deutschen Gesellschaft für Wahlforschung (DGfW) und GESIS – Leibniz-Institut für Sozialwissenschaften durchgeführt. Stichprobe A des GLES-Panels besteht aus quotenbasierten Auswahlverfahren wahlberechtigter deutscher Bürgerinnen und Bürger aus mehreren nicht-probabilistischen Online-Panels und ist in fünf Teilstichproben unterteilt. Die Stichproben A1-A3 „2017 Election Campaign“ setzt sich aus den Befragten des Wahlkampf-Panels 2017 zusammen. Stichprobe A wurde anschließend durch die Auffrischungsstichprobe A4 für den Bundestagswahlkampf 2021 (2020) sowie A5 für den Bundestagswahlkampf 2025 (2024) ergänzt. Für die vorgezogene Bundestagswahl 2025 wurden aktive Teilnehmende bis zu fünfmal während des Wahlkampfs und nach der Wahl befragt. Die Befragungen im Rahmen des GLES-Panels ermöglichen weiterhin vielfältige und vertiefte Analysen zu den Auswirkungen politischer Ereignisse und Wahlkämpfe auf Veränderungen politischer Einstellungen und Entscheidungsprozesse
Vocational School Student Survey 2024 (VET Student Survey)
No full textAmisbarometri on tutkimus, jonka tavoitteena on saada kattavaa ja monipuolista tietoa Suomen ammattiin opiskelevista. Kyselyn keskeisiä teemoja ovat koulutukseen hakeutuminen, kokemukset opiskelusta ja opetuksesta, opintojen edistyminen ja kiinnittyminen opintoihin, opiskelijoiden työssäkäynti, asuminen ja toimeentulo, näkemykset työelämästä ja tulevaisuudesta sekä opiskelijoiden hyvinvointi ja vapaa-aika. Kyselyaineiston toteutuksesta ovat vastanneet Opiskelun ja koulutuksen tutkimussäätiö (OTUS) yhteistyössä Suomen Ammattiin Opiskelevien Liitto SAKKI ry:n kanssa. Tutkimusta on rahoittanut SAKKI ry, joka sai rahoituksen Opetus- ja kulttuuriministeriöltä. Aluksi kyselyssä tiedusteltiin vastaajien nykyisistä opinnoista kysymällä opiskellusta tutkintotyypistä ja alasta. Seuraavaksi kartoitettiin koulutukseen hakeutumista. Vastaajilta kysyttiin muun muassa syitä, miksi olivat hakeutuneet nykyiselle koulutusalalleen. Esillä olivat myös nykyisiä opintoja edeltävä elämänvaihe sekä opintomenestys aiemmissa opinnoissa. Seuraavaksi vastaajilta kysyttiin kokemuksia opiskeluun liittyen. Kysyttiin muun muassa opiskeluun käytetystä ajasta ja nykyisten opintojen eri osa-alueiden, kuten lähiopetuksen, etäopetuksen ja työssäoppimisen määrästä opinnoissa. Opiskelijoilta kysyttiin lisäksi opintojen haastavuudesta, oppilaitoksesta saadusta opetuksesta ja ohjauksesta sekä yleisiä kokemuksia oppilaitokseen liittyen. Tutkittaville esitettiin myös henkilökohtaisen osaamisen kehittämissuunnitelmaa koskevia väittämiä. Lisäksi tiedusteltiin näkemyksiä opiskelutiloista ja oppimateriaaleista. Tämän jälkeen esitettiin työpaikalla tapahtuvaa oppimista koskevia väittämiä sekä kysyttiin opintojen edistymisestä sekä opintoja hidastavista tekijöistä ja syitä opintojen keskeyttämisen harkitsemiseen. Seuraavaksi vastaajilta kysyttiin työssä käymisestä opintojen aikana, taloudellisesta tilanteesta ja asumismuodosta. Vapaa-aikaan ja hyvinvointiin liittyen kysyttiin vastaajien terveydentilasta, kaveri- ja lähipiiristä, kokemuksista kiusatuksi tulemisesta ja seksuaalisesta häirinnästä. Työelämää ja tulevaisuudenodotuksia tiedusteltiin kysymällä näkemyksiä valmistumisen jälkeisestä ajasta sekä työelämään siirtymisestä. Vastaajat myös arvioivat omia uratoiveita. Lisäksi kysyttiin, aikomuksista jatkaa opiskelua nykyisten opintojen jälkeen. Taustamuuttujina ovat muun muassa oppilaitoksen kuntatyyppi, maakunta ja AVI-alue sekä vastaajan koulutusala, ikäluokka, sukupuoli, äidinkieli ja vanhempien työllisyystilanne ja koulutustausta.The Vocational School Student Survey (VET Student Survey) 2024 is a total study charting experiences of young people studying in Finnish vocational education institutions. The survey was conducted by the Research Foundation for Studies and Education (Otus) in collaboration with the National Union of Vocational Students in Finland (SAKKI), which also funded the study with funding received from the Ministry of Education and Culture. Main themes of the survey included applying for studies, experiences relating to studies and teaching, financial circumstances, plans for the future and working life, and wellbeing and leisure time. First, the respondents were asked about their studies at present with questions concerning, for instance, their field of education. Questions also surveyed how the respondents had entered their studies and also the respondents' decision to apply for vocational studies was examined. The respondents were also asked how they had performed in earlier education. Next, respondents were asked about their experiences of studying. Among other things, they were asked about the time spent studying and the amount of different aspects of their current studies, such as face-to-face teaching, distance learning and on-the-job learning. Students were also asked about the challenges of studying, the teaching and guidance they received from the institution and their general experiences of the institution. In addition, respondents were asked questions about their personal competence development plan and views on study facilities and learning materials. This was followed by statements about on-the-job learning and questions about progress and obstacles to studies and reasons for considering dropping out of studies. Next, respondents were asked about their employment during their studies, their financial situation and their living arrangements. In terms of leisure and well-being, respondents were asked about their health, friends and family, experiences of being bullied and sexual harassment. As regards to working life and future expectations, the survey asked about views on the time after graduation and the transition to working life. Respondents also assessed their own career aspirations. They were also asked about their intentions to continue studying after their current studies. Background variables included the respondent's field of study, age, gender, mother tongue, as well as, parents' employment status and education level
Labour Force Survey Five-Quarter Longitudinal Dataset, April 2024 - June, 2025
No full textAbstract copyright UK Data Service and data collection copyright owner.Background The Labour Force Survey (LFS) is a unique source of information using international definitions of employment and unemployment and economic inactivity, together with a wide range of related topics such as occupation, training, hours of work and personal characteristics of household members aged 16 years and over. It is used to inform social, economic and employment policy. The LFS was first conducted biennially from 1973-1983. Between 1984 and 1991 the survey was carried out annually and consisted of a quarterly survey conducted throughout the year and a 'boost' survey in the spring quarter (data were then collected seasonally). From 1992 quarterly data were made available, with a quarterly sample size approximately equivalent to that of the previous annual data. The survey then became known as the Quarterly Labour Force Survey (QLFS). From December 1994, data gathering for Northern Ireland moved to a full quarterly cycle to match the rest of the country, so the QLFS then covered the whole of the UK (though some additional annual Northern Ireland LFS datasets are also held at the UK Data Archive). Further information on the background to the QLFS may be found in the documentation. Longitudinal data The LFS retains each sample household for five consecutive quarters, with a fifth of the sample replaced each quarter. The main survey was designed to produce cross-sectional data, but the data on each individual have now been linked together to provide longitudinal information. The longitudinal data comprise two types of linked datasets, created using the weighting method to adjust for non-response bias. The two-quarter datasets link data from two consecutive waves, while the five-quarter datasets link across a whole year (for example January 2010 to March 2011 inclusive) and contain data from all five waves. A full series of longitudinal data has been produced, going back to winter 1992. Linking together records to create a longitudinal dimension can, for example, provide information on gross flows over time between different labour force categories (employed, unemployed and economically inactive). This will provide detail about people who have moved between the categories. Also, longitudinal information is useful in monitoring the effects of government policies and can be used to follow the subsequent activities and circumstances of people affected by specific policy initiatives, and to compare them with other groups in the population. There are however methodological problems which could distort the data resulting from this longitudinal linking. The ONS continues to research these issues and advises that the presentation of results should be carefully considered, and warnings should be included with outputs where necessary. LFS Documentation The documentation available from the Archive to accompany LFS datasets largely consists of the latest version of each user guide volume alongside the appropriate questionnaire for the year concerned. However, volumes are updated periodically by ONS, so users are advised to check the latest documents on the ONS Labour Force Survey - User Guidance pages before commencing analysis. This is especially important for users of older QLFS studies, where information and guidance in the user guide documents may have changed over time.Occupation data for 2021 and 2022 data filesThe ONS has identified an issue with the collection of some occupational data in 2021 and 2022 data files in a number of their surveys. While they estimate any impacts will be small overall, this will affect the accuracy of the breakdowns of some detailed (four-digit Standard Occupational Classification (SOC)) occupations, and data derived from them. Further information can be found in the ONS article published on 11 July 2023: Revision of miscoded occupational data in the ONS Labour Force Survey, UK: January 2021 to September 2022.2022 WeightingThe population totals used for the latest LFS estimates use projected growth rates from Real Time Information (RTI) data for UK, EU and non-EU populations based on 2021 patterns. The total population used for the LFS therefore does not take into account any changes in migration, birth rates, death rates, and so on since June 2021, and hence levels estimates may be under- or over-estimating the true values and should be used with caution. Estimates of rates will, however, be robust.Main Topics:The five-quarter longitudinal datasets include a subset of the most commonly used variables from the Quarterly Labour Force Survey (QLFS), covering the main areas of the survey
International Passenger Survey, 2024
No full textAbstract copyright UK Data Service and data collection copyright owner.The International Passenger Survey (IPS) aims to collect data on both credits and debits for the travel account of the Balance of Payments, provide detailed visit information on overseas visitors to the United Kingdom (UK) for tourism policy, and collect data on international migration.The International Passenger Survey, 2024 has undergone transformation from July 2024 through data collection changes and methodological developments. Information regarding these changes can be found in the 'Improving our Travel and Tourism Statistics Articles' under the study Resources section. The articles provide further information on these changes and the key data considerations to be aware of. As a result the estimates that have been published as official statistics in development, indicating further development and quality assurance is required before they can be published as official statistics.Main Topics:Each of the three data files covers different topics, as it follows:'Airmiles': quarter; flow; serial; UK port or route; direct leg overseas port; final overseas port; distance from UK port to first port; from first to second port; from UK port to second port.'Qreg': year; quarter; month; flow; serial; towns stayed in overnight; details of type of accommodation; number of nights spent in towns; expenditure in towns; regional stay weight; regional visit weight; regional expenditure weight; various validation checks.'Custom': year; quarter; month; flow; serial; nationality; country of visit/residence; UK counties; date visit began; purpose of visit; intended length of stay; number of people; package tour and cost; expenditure pre-, post- and during visit; flight prefix and suffix; first carrier air or shipping line; direct leg overseas port; final overseas port; long- or short-haul; type of vehicle; number travelling in vehicle; fare type and cost; class of travel; business trip; type of flight; flight origin or destination; gender; age group; UK port or route; quality of response; date of interview; money transfer, net and total expenditure; type of transport; arrivals (number of adults); departures (type of travelling group, number of adults and children); weighting variables; various validation checks.Data are no longer collected for the 'Alcohol' data file, so this file is not available from 2024 onwards.</div