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+).

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 24.261 adults over 16 EU countries and the United Kingdom, from 16 March to 24 April 2023. 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.

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.

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.

According to a survey conducted in Britain in 2023, 49 percent of dating app users reported having a very or fairly good general user experience. Overall, 30 percent stated they had neither a good nor bad experience, and one in five users said they had a very or fairly bad general user experience.

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.

American favorability for Tesla falls to a nine-year low, despite uptick in conservative support. Sales decline in key markets, revealing challenges for Tesla.

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]

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.

This statistic shows the ways in which adults were introduced to the character Batman in the United States as of March 2019. Around 25 percent of respondents stated that they were first introduced to the character Batman through a live-action television series.

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.

This panel survey contains data from households located in large, coastal urban centers in the United States (Miami, Houston, and New Orleans greater areas), the Netherlands (Rotterdam greater area, Zeeland province), China (Shanghai greater area), and Indonesia (Jakarta greater area, other cities in Java). The surveys are focused on soliciting information on households' socio-economic background, perceptions, adaptive capacities, self-assessed resilience, place attachment, social influence, policy and other factors influencing individual climate change adaptation behavior (here contextualized to floods). The surveys were conducted online by YouGov and the data presented are from identical, translated questions in the respective languages of each country. The first survey was launched in Late March 2020, and a subsequent survey followed every six months for the following year and a half; in October 2020, April 2021, and November 2021. The spacing was specifically designed to allow sufficient time for the households to realize their adaptation intentions, yet still be in frequent enough intervals to encourage continued household participation. The firth wave was conduced in August-September 2023 and covered an additional country (UK). In this archive, you will find a subset of the data collected for each survey; 20 households in each country, with four waves of responses (Total N = 80, t = 4). The firth wave will be uploaded in the later 2023-early 2024.

Authors contributions: B.N., T.F. and A.N. developed the questionnaires for waves 1-4 of the survey. T.F. and T.W. developed the questionnaires for wave 5 of the survey. The development of the questionnaire and the analysis of the data for waves 1-4 constitute the core of the PhD project of B.N. The development of the questionnaire and the analysis of the data for wave 5 is part of the PhD project of T.W. The design, implementation and analysis of the survey was possible thanks to the ERC ‘SCALAR’ project developed and led by T.F. We are thankful to the funding from European Research Council project ‘SCALAR: Scaling up behavior and autonomous adaptation for macro models of climate change damage assessment’ (grant agreement no. 758014) under the European Union’s Horizon 2020 Research and Innovation Program.

Related publications: PhD Thesis of Dr. Brayton Noll (2023): https://repository.tudelft.nl/islandora/object/uuid%3A0d49cb3e-6dd8-4a9e-abc6-b847de938aea?collection=research

Noll, B., Filatova, T., Need, A, de Vries, P. (2023) ‘Uncertainty in individual risk judgments associates with vulnerability and curtailed climate adaptation’, Journal of Environmental Management, 325, 116462, https://pubmed.ncbi.nlm.nih.gov/36272292/

Noll, B., T.Filatova, A.Need (2022) ‘One and done? Exploring linkages between households’ intended adaptations to climate-induced floods’, Risk Analysis, 1-19, https://doi.org/10.1111/risa.13897

Noll B., Filatova, T., Need, A. & Taberna, A. (2021) ‘Contextualizing cross-national patterns in household climate change adaptation’, Nature Climate Change https://doi.org/10.1038/s41558-021-01222-3

Date Copyrighted: 2022-11-29

This panel survey contains data from households located in large, coastal urban centers in the United States (Miami, Houston, and New Orleans greater areas), the Netherlands (Rotterdam greater area, Zeeland province), China (Shanghai greater area), and Indonesia (Jakarta greater area, other cities in Java). The surveys are focused on soliciting information on households' socio-economic background, perceptions, adaptive capacities, self-assessed resilience, place attachment, social influence, policy and other factors influencing individual climate change adaptation behavior (here contextualized to floods). The surveys were conducted online by YouGov and the data presented are from identical, translated questions in the respective languages of each country. The first survey was launched in Late March 2020, and a subsequent survey followed every six months for the following year and a half; in October 2020, April 2021, and November 2021. The spacing was specifically designed to allow sufficient time for the households to realize their adaptation intentions, yet still be in frequent enough intervals to encourage continued household participation. The firth wave was conduced in August-September 2023 and covered an additional country (UK). In this archive, you will find a subset of the data collected for each survey; 20 households in each country, with four waves of responses (Total N = 80, t = 4). The firth wave will be uploaded in the later 2023-early 2024.

Authors contributions: B.N., T.F. and A.N. developed the questionnaires for waves 1-4 of the survey. T.F. and T.W. developed the questionnaires for wave 5 of the survey. The development of the questionnaire and the analysis of the data for waves 1-4 constitute the core of the PhD project of B.N. The development of...

Poker is a widely-known card game, also played in casinos, in which players wager with each other over who has the best hand. As with all games, players typically need elements of both skill and luck. However, some games are known for needing more skill than others. In a 2020 survey conducted by YouGov, 54 percent of respondents in the United States stated that poker was a game of skill rather than luck. In contrast, 28 percent of respondents believed that poker was a game of luck.

The GLA undertakes regular polling of Londoners' views. The results from these polls appear on this page. December 2017 – Rail services Link to PDF of topline (PDF) November 2017 – Workplace equality Link to PDF of topline (PDF) November 2017 - YouGov/GLA poll results Link to PDF of topline (PDF) October 2017 - YouGov/GLA poll results Link to PDF of topline (PDF) September 2017 – Keeping Londoners safe Link to PDF of topline (PDF) August 2017 – World Athletics Championships Link to PDF of topline (PDF) July 2017 – World Para-athletics Championships Link to PDF of topline (PDF) July 2017 – Food Link to PDF of topline (PDF) June 2017 – YouGov/GLA poll results Link to PDF of topline (PDF) June 2017 – YouGov/GLA poll results Link to PDF of topline (PDF) April 2017 – YouGov/GLA poll results Link to PDF of topline (PDF) March 2017 – Contacting City Hall Link to PDF of topline (PDF) February 2017 – YouGov/GLA poll results Link to PDF of topline (PDF) February 2017 – YouGov/GLA poll results Link to PDF of topline (PDF) January 2017 – YouGov/GLA poll results Link to PDF of topline (PDF) December 2016 – YouGov/GLA poll results Link to PDF of topline (PDF) December 2016 – Transport Link to PDF of topline (PDF) November 2016 – YouGov/GLA poll results Link to PDF of topline (PDF) October 2016 – Public spending and taxation Link to PDF of topline (PDF) Link to analysis of results (PDF) August 2016 – Promoting London Abroad Link to PDF of topline (PDF) August 2016 – Pubs and Clubs Link to PDF of topline (PDF) July 2016 – Devolution Link to PDF of topline (PDF) March 2016 – congestion, night-tube, noise, volunteering and growth Link to PDF of toplines (PDF) Link to crosstabs tables (XLS) January 2016 – culture, anti-social behaviour, sport & exercise, digital technology Link to PDF of toplines (PDF) Link to crosstabs tables (XLS) September 2015 - economy, sugar, awareness of London government and work of Mayor Link to PDF of toplines (PDF) Link to crosstabs tables (XLS) July 2015 - Energy, renting, online shopping and airports Link to PDF of toplines (PDF) Link to Excel tables (XLS) March 2015 - Growth, recycling and reuse Link to PDF of toplines (PDF) Link to PDF of tables January 2015 – Economy, cost of living, living wage, affordable eating, cooking fats, physical activity major events Link to PDF of toplines (PDF) Link to Excel tables (XLS) September 2014 - Awareness, sources, carrier bags and big dance Link to PDF of toplines (PDF) Link to Excel tables (XLS) August 2014 - Health Survey Link to PDF of toplines (PDF) Link to Excel tables (XLS) June 2014 - Economy, cost of living, personal finance, housing and airports Link to PDF of toplines (PDF) May 2014 - Priorities for Safety Link to PDF of toplines (PDF) Link to Excel tables (XLS) March 2014 - Health Survey Link to PDF of toplines (PDF) Link to Excel tables (XLS) February 2014 - Economy, cost of living, priorities and culture Link to PDF of toplines (PDF) Link to Excel tables (XLS) February 2014 - Water Cannon Link to Data Full Tables (XLS) Tables – rebased (XLS) Tables - ethnicity (XLS) Tables - summary (XLS) November 2013 - Economy, cost of living, technology and aiports Link to PDF of toplines (PDF) Link to Excel tables (XLS) September 2013 - Economy, Mayoral responsibilities Link to PDF of toplines (PDF) Link to Excel tables (XLS) June 2013 - Economy, culture and community cohesion Link to PDF of toplines (PDF) Link to PDF tables (PDF) March 2013 – Economy, volunteering, ULEZ, stamp duty, cycling Link to PDF of toplines (PDF) Link to Excel tables (XLS) January 2013 - Economy, apprenticeships, aiport, housing and EU Link to PDF of toplines (PDF) Link to Excel tables (XLS) October 2012 - Economy, Mayoral responsibilities and 2012 Games Link to PDF of toplines (PDF) Link to PDF tables (PDF) June 2012 - Economy and Londoners priorities Link to PDF of toplines (PDF) Link to PDF tables (PDF) February 2012 - Economy and volunteering Link to PDF of toplines (PDF) Link to PDF tables (PDF) November 2011 - Economy, community cohesion, young people, sports Link to PDF of toplines (PDF) Link to PDF tables (PDF) September 2011 - Community cohesion and festivals Link to PDF of toplines (PDF) Link to PDF tables (PDF) June 2011 - Housing, economy, sport, 2012 games Link to PDF of toplines (PDF) Link to PDF tables (PDF) March 2011 - Volunteering Link to PDF of toplines (PDF) Link to PDF tables (PDF) December 2010 - Mayoral Priorities Link to PDF of toplines (PDF) Link to PDF tables (PDF) August 2010 - Energy, and Safety in Parks Link to PDF of toplines (PDF) Link to PDF tables (PDF) May 2010 - Climate Change Link to PDF of toplines (PDF) Link to PDF tables (PDF) March 2010 - Culture Link to PDF of toplines (PDF) Link to PDF tables (PDF) November 2009 - Waste and recycling Link to PDF of toplines (PDF) Link to PDF tables (PDF) June 2009 - Quality of life Link to PDF of toplines (PDF) Link to PDF tables (PDF) April 2009 - Economic outlook, and the Mayor's role Link to PDF of toplines (PDF) Link to PDF tables (PDF) Visit Talk London website to join in with the discussion.

The current dataset is a subset of a large data collection based on a purpose-built survey conducted in seven middle-income countries in the Global South: Chile, Colombia, India, Kenya, Nigeria, Tanzania, South Africa and Vietnam. The purpose of the collected variables in the present dataset aims to understanding public preferences as a critical way to any effort to reduce greenhouse gas emissions. There are many studies of public preferences regarding climate change in the Global North. However, survey work in low and middle-income countries is limited. Survey work facilitating cross-country comparisons not using the major omnibus surveys is relatively rare.
We designed the Environment for Development (EfD) Seven-country Global South Climate Survey (the EfD Survey) which collected information on respondents’ knowledge about climate change, the information sources that respondents rely on, and opinions on climate policy. The EfD survey contains a battery of well-known climate knowledge questions and questions concerning the attention to and degree of trust in various sources for climate information. Respondents faced several ranking tasks using a best-worst elicitation format. This approach offers greater robustness to cultural differences in how questions are answered than the Likert-scale questions commonly asked in omnibus surveys. We examine: (a) priorities for spending in thirteen policy areas including climate and COVID-19, (b) how respiratory diseases due to air pollution rank relative to six other health problems, (c) agreement with ten statements characterizing various aspects of climate policies, and (d) prioritization of uses for carbon tax revenue. The company YouGov collected data for the EfD Survey in 2023 from 8400 respondents, 1200 in each country. It supplements an earlier survey wave (administered a year earlier) that focused on COVID-19. Respondents were drawn from YouGov’s online panels. During the COVID-19 pandemic almost all surveys were conducted online. This has advantages and disadvantages. Online survey administration reduces costs and data collection times and allows for experimental designs assigning different survey stimuli. With substantial incentive payments, high response rates within the sampling frame are achievable and such incentivized respondents are hopefully motivated to carefully answer the questions posed. The main disadvantage is that the sampling frame is comprised of the internet-enabled portion of the population in each country (e.g., with computers, mobile phones, and tablets). This sample systematically underrepresents those with lower incomes and living in rural areas. This large segment of the population is, however, of considerable interest in its own right due to its exposure to online media and outsized influence on public opinion. The data includes respondents’ preferences for climate change mitigation policies and competing policy issues like health. The data also includes questions such as how respondents think revenues from carbon taxes should be used. The outcome provide important information for policymakers to understand, evaluate, and shape national climate policies. It is worth noting that the data from Tanzania is only present in Wave 1 and that the data from Chile is only present in Wave 2.

Replication data and R code for Ahlquist, Mayer, & Jackman (2014). Data are two original YouGov surveys along with supplementary State-level covariates

According to a YouGov survey conducted in Germany in March 2020, 44 percent of respondents were ready or mostly ready to install a coronavirus warning app on their smartphones. This app is voluntary and is supposed to make it possible to find and warn people who have been near an infected person. Data from smartphones are saved in anonymized way.

In July of 2018, the Deseret News and The Center for the Study of Elections and Democracy at Brigham Young University fielded a survey on the family in America. This survey was administered by YouGov to a sample of 3,000 adult respondents whose characteristics mirror those of the general population. Each version of the American Family Survey has different in-depth module. The 2018 AFS explores American views on the ideal marriage and family, relationships between parents and teenagers, and sexual harassment

The current dataset is a subset of a large data collection based on a purpose-built survey conducted in seven middle-income countries in the Global South: Chile, Colombia, India, Kenya, Nigeria, Tanzania, South Africa and Vietnam. The purpose of the collected variables in the present dataset aims to understanding public preferences as a critical way to any effort to reduce greenhouse gas emissions. There are many studies of public preferences regarding climate change in the Global North. However, survey work in low and middle-income countries is limited. Survey work facilitating cross-country comparisons not using the major omnibus surveys is relatively rare.
We designed the Environment for Development (EfD) Seven-country Global South Climate Survey (the EfD Survey) which collected information on respondents’ knowledge about climate change, the information sources that respondents rely on, and opinions on climate policy. The EfD survey contains a battery of well-known climate knowledge questions and questions concerning the attention to and degree of trust in various sources for climate information. Respondents faced several ranking tasks using a best-worst elicitation format. This approach offers greater robustness to cultural differences in how questions are answered than the Likert-scale questions commonly asked in omnibus surveys. We examine: (a) priorities for spending in thirteen policy areas including climate and COVID-19, (b) how respiratory diseases due to air pollution rank relative to six other health problems, (c) agreement with ten statements characterizing various aspects of climate policies, and (d) prioritization of uses for carbon tax revenue. The company YouGov collected data for the EfD Survey in 2023 from 8400 respondents, 1200 in each country. It supplements an earlier survey wave (administered a year earlier) that focused on COVID-19. Respondents were drawn from YouGov’s online panels. During the COVID-19 pandemic almost all surveys were conducted online. This has advantages and disadvantages. Online survey administration reduces costs and data collection times and allows for experimental designs assigning different survey stimuli. With substantial incentive payments, high response rates within the sampling frame are achievable and such incentivized respondents are hopefully motivated to carefully answer the questions posed. The main disadvantage is that the sampling frame is comprised of the internet-enabled portion of the population in each country (e.g., with computers, mobile phones, and tablets). This sample systematically underrepresents those with lower incomes and living in rural areas. This large segment of the population is, however, of considerable interest in its own right due to its exposure to online media and outsized influence on public opinion. The data includes respondents’ preferences for climate change mitigation policies and competing policy issues like health. The data also includes questions such as how respondents think revenues from carbon taxes should be used. The outcome provide important information for policymakers to understand, evaluate, and shape national climate policies. It is worth noting that the data from Tanzania is only present in Wave 1 and that the data from Chile is only present in Wave 2.