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All figures, unless otherwise stated, are from YouGov Plc. Total sample size was 2035 adults. Fieldwork was undertaken between 14th - 22nd May 2020. The survey was carried out online. The figures have been weighted and are representative of all Scotland adults (aged 18+).
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United States The Economist YouGov Polls: 2024 Presidential Election: Kamala Harris data was reported at 47.000 % in 29 Oct 2024. This records a decrease from the previous number of 48.000 % for 22 Oct 2024. United States The Economist YouGov Polls: 2024 Presidential Election: Kamala Harris data is updated weekly, averaging 47.000 % from Jul 2024 (Median) to 29 Oct 2024, with 15 observations. The data reached an all-time high of 49.000 % in 17 Sep 2024 and a record low of 41.000 % in 23 Jul 2024. United States The Economist YouGov Polls: 2024 Presidential Election: Kamala Harris data remains active status in CEIC and is reported by YouGov PLC. The data is categorized under Global Database’s United States – Table US.PR004: The Economist YouGov Polls: 2024 Presidential Election (Discontinued).
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Data used in Chapter 3 (compromise experiments) from the 2018 UML YouGov survey.
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United States The Economist YouGov Polls: 2024 Presidential Election: Donald Trump data was reported at 46.000 % in 29 Oct 2024. This stayed constant from the previous number of 46.000 % for 22 Oct 2024. United States The Economist YouGov Polls: 2024 Presidential Election: Donald Trump data is updated weekly, averaging 43.000 % from May 2023 (Median) to 29 Oct 2024, with 61 observations. The data reached an all-time high of 46.000 % in 29 Oct 2024 and a record low of 38.000 % in 31 Oct 2023. United States The Economist YouGov Polls: 2024 Presidential Election: Donald Trump data remains active status in CEIC and is reported by YouGov PLC. The data is categorized under Global Database’s United States – Table US.PR004: The Economist YouGov Polls: 2024 Presidential Election (Discontinued). If an election for president were going to be held now and the Democratic nominee was Joe Biden and the Republican nominee was Donald Trump, would you vote for...
2 data files; 1 codebook The EUI-YouGov survey on Solidarity in Europe (2020) is a dataset containing the answers to a survey of a representative sample of more than 20,000 adults from 13 European countries and the UK. The survey has been implemented by YouGov in collaboration with the EUI. The over 70 questions cover a number of topics focused on: the concept of solidarity among EU states and beyond; response to different crises through various instruments, including the recent Covid-19 outbreak; satisfaction and trust towards governments, the EU and international actors; strength of national and European identities; value of democracy; importance and salience of various issues and threats; intention in a EU-membership referendum and other EU-related indicators including differentiated integration; world politics; left-right self-placement; gender, religion and age group; vote record in past national elections.
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United States The Economist YouGov Polls: 2024 Presidential Election: Joe Biden data was reported at 41.000 % in 16 Jul 2024. This records an increase from the previous number of 40.000 % for 09 Jul 2024. United States The Economist YouGov Polls: 2024 Presidential Election: Joe Biden data is updated weekly, averaging 42.000 % from May 2023 (Median) to 16 Jul 2024, with 46 observations. The data reached an all-time high of 44.000 % in 16 Apr 2024 and a record low of 38.000 % in 17 Oct 2023. United States The Economist YouGov Polls: 2024 Presidential Election: Joe Biden data remains active status in CEIC and is reported by YouGov PLC. The data is categorized under Global Database’s United States – Table US.PR004: The Economist YouGov Polls: 2024 Presidential Election (Discontinued). If an election for president were going to be held now and the Democratic nominee was Joe Biden and the Republican nominee was Donald Trump, would you vote for...
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United States The Economist YouGov Polls: 2024 Presidential Election: Other data was reported at 2.000 % in 29 Oct 2024. This records an increase from the previous number of 1.000 % for 22 Oct 2024. United States The Economist YouGov Polls: 2024 Presidential Election: Other data is updated weekly, averaging 2.000 % from May 2023 (Median) to 29 Oct 2024, with 61 observations. The data reached an all-time high of 8.000 % in 19 Dec 2023 and a record low of 0.000 % in 16 Apr 2024. United States The Economist YouGov Polls: 2024 Presidential Election: Other data remains active status in CEIC and is reported by YouGov PLC. The data is categorized under Global Database’s United States – Table US.PR004: The Economist YouGov Polls: 2024 Presidential Election (Discontinued). If an election for president were going to be held now and the Democratic nominee was Joe Biden and the Republican nominee was Donald Trump, would you vote for...
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Data and do files are provided for the models that use this data in Chapters 3, 4 and 6.
https://www.gesis.org/en/institute/data-usage-termshttps://www.gesis.org/en/institute/data-usage-terms
The EUI-YouGov dataset on European solidarity is built on a large survey designed by the 'Solidarity in Europe' and the SOLID ERC research teams at the EUI, and implemented by YouGov. The data aims to empirically assess public opinion on the willingness to redistribute resources within the EU and to examine political attitudes that might explain these preferences. The survey design covers a number of issues, particularly concerning attitudes towards European solidarity; preferences for solidarity in the scope of different types of crises (including COVID-19 and the war in Ukraine); satisfaction and trust in national and European institutions; attitudes towards European integration, identity, value of democracy, world politics, security and defence, Russia, NATO and a European army; preferences concerning taxes and policy priorities; the relative salience of different issues and threats facing individuals, countries and the EU; political ideology, religion and voting preferences; as well as other individual attributes such as gender, age and occupation. The survey inquired 15.810 adults over 17 EU countries and the United Kingdom, from 2nd April to the 12th May 2024. YouGov implemented the survey online using a randomised panel sampling mechanism to ensure it is nationally representative concerning age, gender, social class, region, level of education, voting preference and level of political interest.
http://reference.data.gov.uk/id/open-government-licencehttp://reference.data.gov.uk/id/open-government-licence
Underlying data from annex B for the report that uses data from the YouGov DebtTrack surveys to update trend information about credit use and the extent of consumer indebtedness in Britain. The analysis suggests a continued decrease in the proportion of households using unsecured credit, but little change in the average amount of unsecured debt among credit users. The data also indicated a decline in the incidence of financial difficulty.
https://ora.ox.ac.uk/terms_of_usehttps://ora.ox.ac.uk/terms_of_use
This data was generated in conjunction with a UK study of public perceptions to different tree-breeding solutions to ash dieback. This study was a component of a wider BBSRC-funded research project that aims to develop new approaches for identifying genes conferring tolerance to Chalara.
The data was generated from a questionnaire survey adminstered by YouGov in March 2016. A second data set available on ORA relates to a similar survey of UK publics attending countryside events.
Two public opinion surveys were conducted. For the first, main survey, data was collected by YouGov from 1,517 participants between 17th and 21st November 2017. Participants were identified through YouGov's pre-existing panel of survey participants and were selected to produce a nationally representative sample for the UK population. This process involved panel members being sent a link to complete the survey. Only participants who answered all questions were included in the survey data. Participants who completed the questions in a time shorter than it would take to read the questions were excluded, resulting in a valid sample of 1,497 people (out of an initial sample of 1,517). The first survey comes in 4 parts: 1- Attitudes to parties, 2- Views and desires for party representation, 3- Views and desires for party participation, 4- Views and desires for party governance. A range of explanatory variables are also included for statistical analysis. A second, shorter survey was fielded via YouGov on 8th-9th of April 2019, and gained 1,692 valid responses. This was composed of 10 questions that explored views of specific political parties. The link between citizens and the state is the crux of democratic politics, yet it is crumbling. Numerous studies have diagnosed a crisis in representative politics with decreased participation and growing levels of distrust bringing the legitimacy of democratic institutions into doubt. For many a solution has been offered by digital technology, leading parties to embrace new digital campaigning software. To explore the capacity of digital innovations to renew democracy this study argues that we need to understand the nature of the 'disconnect' between parties and the people. As such, this study departs from traditional analyses of 'digital democracy' by focusing on public attitudes. Adapting the methodological approach used by Allen and Birch (2015) the project will discern how the public and parties conceive democratic linkage in practice and as an ideal, highlighting contradictions and convergence to diagnose the problem. Correlating these insights to the functions of digital software and theories of democratic linkage (Dalton, Farrell and McAllister, 2011) the capacity of digital innovations to renew party politics is considered. To enable analysis 3 work packages (WP) are conducted. WP1: How do parties perceive democratic linkage, and how have parties used digital management systems since 2010? WP1 will first identify available forms of the type of digital innovation of interest to this project - namely 'digital management software' - and will categorise the functions they perform. Second, it will explore and develop theories of democratic linkage to provide a framework for subsequent analysis. Then, using interviews, internal party data and 3 case studies of constituency parties (1 from Labour, the Conservatives and Scottish National Party) the PI and RA will map perceptions of democratic linkage and usage of digital technology. This data will provide new insight on developments in party politics and will be used to produce case study accounts and articles that trace the form of change and consider the impact of digital technology on party organisation. WP2: How do citizens perceive democratic linkage, and how does parties' use of digital management systems affect public attitudes? WP 2 explores the impact of new technology. Working with YouGov the PI will commission 2 surveys. The first will assess public attitudes towards parties', seeking to discern how the public want parties to engage and how they perceive this to work in practice. Data will be analysed to identify conceptions of democratic linkage (WP1) and then compared with party attitudes to identify synergies and incongruities in public and party conceptions. This analysis offers a diagnosis of the state of current linkage, and will identify areas of 'disconnect' to be further examined in WP3. This WP will also probe public attitudes towards parties' use of digital campaigning techniques. Utilising a split sample survey, designed in collaboration with Dr Chris Jones, the PI will assess whether practices such as social media data mining are compatible with public notions of democratic linkage. This will inform an article, infographics and practitioner briefing papers. WP3: Can digital campaigning methods resolve the disconnect between citizens and the state? In collaboration with the think tank Involve, the PI will use 3 deliberative events to explore parties' and citizens' attitudes towards democratic linkage and test the capacity of different forms of digital technology to reconcile these perceptions. Building on survey data these events will test attitudes; exploring whether sustained reflection affects how public and party desires are conceived (drawing on work by Stoker, Hay and Barr, forthcoming). Events will identify ideal forms of linkage - findings that will be used, returning to WP1, to consider the capacity of different forms of digital technology to promote linkage and hence renew party politics. Two public opinion surveys were conducted. For the first, main survey, data was collected by YouGov from 1,517 participants between 17th and 21st November 2017. Participants were identified through YouGov's pre-existing panel of survey participants and were selected to produce a nationally representative sample for the UK population. This process involved panel members being sent a link to complete the survey. Only participants who answered all questions were included in the survey data. Participants who completed the questions in a time shorter than it would take to read the questions were excluded, resulting in a valid sample of 1,497 people (out of an initial sample of 1,517). A second, shorter survey was fielded via YouGov to panel participants on 8th-9th of April 2019, and gained 1,692 valid responses. This was composed of 10 questions that explored views of specific political parties.
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United States The Economist YouGov Polls: 2024 Presidential Election: Not Sure data was reported at 3.000 % in 29 Oct 2024. This stayed constant from the previous number of 3.000 % for 22 Oct 2024. United States The Economist YouGov Polls: 2024 Presidential Election: Not Sure data is updated weekly, averaging 5.000 % from May 2023 (Median) to 29 Oct 2024, with 61 observations. The data reached an all-time high of 10.000 % in 28 May 2024 and a record low of 3.000 % in 29 Oct 2024. United States The Economist YouGov Polls: 2024 Presidential Election: Not Sure data remains active status in CEIC and is reported by YouGov PLC. The data is categorized under Global Database’s United States – Table US.PR004: The Economist YouGov Polls: 2024 Presidential Election (Discontinued). If an election for president were going to be held now and the Democratic nominee was Joe Biden and the Republican nominee was Donald Trump, would you vote for...
https://www.icpsr.umich.edu/web/ICPSR/studies/36390/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/36390/terms
These data are being released as a preliminary version to facilitate early access to the study for research purposes. This collection has not been fully processed by ICPSR at this time, and data are released in the format provided by the principal investigators. As the study is processed and given enhanced features by ICPSR in the future, users will be able to download the updated versions of the study. Please report any data errors or problems to user support, and we will work with you to resolve any data-related issues. The American National Election Study (ANES): 2016 Pilot Study sought to test new instrumentation under consideration for potential inclusion in the ANES 2016 Time Series Study, as well as future ANES studies. Much of the content is based on proposals from the ANES user community submitted through the Online Commons page, found on the ANES home page. The survey included questions about preferences in the presidential primary, stereotyping, the economy, discrimination, race and racial consciousness, police use of force, and numerous policy issues, such as immigration law, health insurance, and federal spending. It was conducted on the Internet using the YouGov panel, an international market research firm that administers polls that collect information about politics, public affairs, products, brands, as well as other topics of general interest.
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Data and do files are provided for the models that use these data in Chapter 6.
Data and replication code for the 2022 YouGov Survey and 2023 YouGov survey. For each do file, the recode file must be run before the analysis do file.
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Underlying data from the publication Credit debt and financial difficulty in Britain 2009-10. A report using data from the YouGov DebtTrack survey [URN 11/963]
This document provides the summary statistics from a subset of data collected from a YouGov survey conducted in Nov 2020. The data covers respondents answers to questions about: level of public trust in scientists and scientific information about the coronavirus pandemic in March 2020 and November 2020; views about the communication of scientific uncertainty; views about whether public information is an accurate representation of coronavirus science; views about whether the impact of coronavirus science had had a positive or negative effect on the response; views about confidence in the accuracy of coronavirus science; whether scientists all agreed about coronavirus science; and whether coronavirus science was available and accessible to everyone. The sample comprised 2,025 individuals living in England, with key characteristics of respondents including: age, gender, ethnicity, whether they were a carer, a keyworker, whether they had had advice to shield from the NHS, and whether they believed they had had coronavirus. This data forms the basis of the descriptive statistics paper titled "Public views of coronavirus science and scientists: findings from a cross-sectional survey." The main dataset is also available on request here: https://doi.org/10.5523/bris.dexqujusyqvd2fxm8lxd2w321 Complete download (zip, 633.1 KiB)
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This replication archive provides formatted data and R code on the perceived ideology of U.S. Senators asked in three YouGov surveys in 2016 and one in 2021. The 2021 survey also asked about several prominent politicians beyond Senators. Specifically, the Rdata objects include data frames in which each row represents a pair of politicians (denoted in the first two columns) and columns 3, 4, and 5 indicate the number of survey respondents who evaluated the first to be more liberal/conservative, the second to be more liberal/conservative, or the number not able to rank them. The data and code included enable replication of all analyses in the corresponding manuscript.
The survey experiment data was collected by the polling company YouGov Denmark, who have access to large panels of respondents in each of the two countries. 1000 respondents in each country who identified as Christian, Protestant or Catholic when asked what religion, if any, they belong to in a screening question were entered into the full questionnaire. YouGov collects information on the gender, age, geographic region and education of their panel respondents, and the sample is representative, and weighted according to these characteristics. The questionnaire was designed in English and translated and back translated to Dutch and Danish respectively to ensure the similarity of meaning in the different languages. The survey experiment was conducted as a 2x2x2 design, with Country, Prime and Frame being the distinguishing variables. Prime: In each country participants were divided into two equally sized groups. Each group was primed with a brief statement about either the Uncontrollability of their financial future, or their Control over their financial future. In each condition they were also asked to provide three reasons (in their own words) why they were either in control or not in control of their financial future. Frame: The participants were then given 10 statements about their religiosity to answer on a scale from (0) "Do not agree at all" to (10) "Completely agree". Each participant was presented with one of two different frames:The collective identity frame includes statements such as: "I consider myself a Christian because: I am Danish / Dutch, I celebrate Christmas, I was Baptised, My mother and/or father are Christian". The personal identity frame includes statements such as: "I consider myself a Christian because I have a personal relationship with God, I believe in an afterlife, I am a spiritual person". A number of sociological and psychological studies have shown that situations of insecurity and threat could increase religious in-group identification. The proposed research project investigates whether between-country differences in Christian identity, would be strengthened by priming participants with salience of threat to the national economy. A survey experiment will be conducted on a large representative sample of self-defined Christians from the Netherlands and Denmark, two countries with marked difference in the relationship between religious and national identity. Our hypothesis is that these differences would be heightened in a situation of threat salience. Specifically, we predict that people primed with control threat will describe their religion more in terms of collective identity in Denmark, and personal identity in the Netherlands. The method of data collection is Online survey. The respondents were members of the YouGov Panel in Denmark, or the partner organisation's panel in the Netherlands. The target group of the survey was Christians 18-74 years old, national representative on gender, age, geography and education. Invitations were sent out via email to people who meet these conditions in The YouGov Panel. The survey was selected to a sampling frame that ensured correct population proportions according to the target group. In Denmark, a total of 2113 interviews were conducted, of which 1006 are within the target group. In the Netherlands, A total of 1317 interviews were conducted, of which 1008 are within the target group.
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All figures, unless otherwise stated, are from YouGov Plc. Total sample size was 2035 adults. Fieldwork was undertaken between 14th - 22nd May 2020. The survey was carried out online. The figures have been weighted and are representative of all Scotland adults (aged 18+).