100+ datasets found
  1. Gallup World Poll

    • stanford.redivis.com
    • redivis.com
    application/jsonl +7
    Updated Jul 10, 2025
    + more versions
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    Stanford University Libraries (2025). Gallup World Poll [Dataset]. http://doi.org/10.57761/xkms-eq09
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    parquet, sas, stata, arrow, spss, application/jsonl, avro, csvAvailable download formats
    Dataset updated
    Jul 10, 2025
    Dataset provided by
    Redivis Inc.
    Authors
    Stanford University Libraries
    Area covered
    World
    Description

    Abstract

    Gallup’s World Poll continually surveys residents in more than 150 countries and areas, representing more than 98% of the world’s adult population, using randomly selected, nationally representative samples. Gallup typically surveys 1,000 individuals in each country or area, using a standard set of core questions that has been translated into the major languages of the respective country. In some regions, supplemental questions are asked in addition to core questions. Face-to-face interviews are approximately 1 hour, while telephone interviews are about 30 minutes. In many countries, the survey is conducted once per year, and fieldwork is generally completed in two to four weeks. The Country Dataset Details document displays each country’s sample size, month/year of the data collection, mode of interviewing, languages employed, design effect, margin of error and details about sample coverage.

    The data was last updated March 2025.

    Bulk Data Access

    Data access is required to view this section.

  2. e

    Replication Data for: Does name order still matter for candidates in a...

    • b2find.eudat.eu
    Updated Nov 16, 2017
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    (2017). Replication Data for: Does name order still matter for candidates in a presidential primary poll in the US? Lack of response order effect in a web survey experiment - Dataset - B2FIND [Dataset]. https://b2find.eudat.eu/dataset/17c50b30-5bab-5022-969f-50431ffe9f56
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    Dataset updated
    Nov 16, 2017
    Area covered
    United States
    Description

    During elections, political polls provide critical data for the support each candidate receives. For that reason, the measurement of questions asking about candidate support has been receiving some research attention. As the online survey is increasingly becoming a widely used tool for public opinion and election polls, evaluation of the measurement error associated with this survey mode is of importance. This study examines whether a candidate name order effect exists in presidential primary election surveys in the US. The findings show that contrary to previous studies the order of names does not have a significant impact on the support candidates received.

  3. A

    ‘US non-voters poll data’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Jan 28, 2022
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2022). ‘US non-voters poll data’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/kaggle-us-non-voters-poll-data-782f/496780e9/?iid=032-479&v=presentation
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    Dataset updated
    Jan 28, 2022
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

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

    Area covered
    United States
    Description

    Analysis of ‘US non-voters poll data’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/yamqwe/us-non-voters-poll-datae on 28 January 2022.

    --- Dataset description provided by original source is as follows ---

    About this dataset

    This dataset contains the data behind Why Many Americans Don't Vote.

    Data presented here comes from polling done by Ipsos for FiveThirtyEight, using Ipsos’s KnowledgePanel, a probability-based online panel that is recruited to be representative of the U.S. population. The poll was conducted from Sept. 15 to Sept. 25 among a sample of U.S. citizens that oversampled young, Black and Hispanic respondents, with 8,327 respondents, and was weighted according to general population benchmarks for U.S. citizens from the U.S. Census Bureau’s Current Population Survey March 2019 Supplement. The voter file company Aristotle then matched respondents to a voter file to more accurately understand their voting history using the panelist’s first name, last name, zip code, and eight characters of their address, using the National Change of Address program if applicable. Sixty-four percent of the sample (5,355 respondents) matched, although we also included respondents who did not match the voter file but described themselves as voting “rarely” or “never” in our survey, so as to avoid underrepresenting nonvoters, who are less likely to be included in the voter file to begin with. We dropped respondents who were only eligible to vote in three elections or fewer. We defined those who almost always vote as those who voted in all (or all but one) of the national elections (presidential and midterm) they were eligible to vote in since 2000; those who vote sometimes as those who voted in at least two elections, but fewer than all the elections they were eligible to vote in (or all but one); and those who rarely or never vote as those who voted in no elections, or just one.

    The data included here is the final sample we used: 5,239 respondents who matched to the voter file and whose verified vote history we have, and 597 respondents who did not match to the voter file and described themselves as voting "rarely" or "never," all of whom have been eligible for at least 4 elections.

    If you find this information useful, please let us know.

    License: Creative Commons Attribution 4.0 International License

    Source: https://github.com/fivethirtyeight/data/tree/master/non-voters

    This dataset was created by data.world's Admin and contains around 6000 samples along with Race, Q27 6, technical information and other features such as: - Q4 6 - Q8 3 - and more.

    How to use this dataset

    • Analyze Q10 3 in relation to Q8 6
    • Study the influence of Q6 on Q10 4
    • More datasets

    Acknowledgements

    If you use this dataset in your research, please credit data.world's Admin

    Start A New Notebook!

    --- Original source retains full ownership of the source dataset ---

  4. Gallup Analytics

    • archive.ciser.cornell.edu
    Updated Feb 15, 2024
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    Gallup Organization (2024). Gallup Analytics [Dataset]. https://archive.ciser.cornell.edu/studies/2823/related-articles
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    Dataset updated
    Feb 15, 2024
    Dataset provided by
    Gallup, Inc.http://gallup.com/
    Authors
    Gallup Organization
    Variables measured
    Individual
    Description

    Contains Gallup data from countries that are home to more than 98% of the world's population through a state-of-the-art Web-based portal. Gallup Analytics puts Gallup's best global intelligence in users' hands to help them better understand the strengths and challenges of the world's countries and regions. Users can access Gallup's U.S. Daily tracking and World Poll data to compare residents' responses region by region and nation by nation to questions on topics such as economic conditions, government and business, health and wellbeing, infrastructure, and education.

    The Gallup Analytics Database is accessed through the Cornell University Libraries here. In addition, a CUL subscription also allows access to the Gallup Respondent Level Data. For access please refer to the documentation below and then request the variables you need here.

    Before requesting data from the World Poll, please see the Getting Started guide and the Worldwide Research Methodology and Codebook (You will need to request access). The Codebook will give you information about all available variables in the datasets. There are other guides available as well in the google folder. You can also access information about questions asked and variables using the Gallup World Poll Reference Tool. You will need to create your user account to access the tool. This will only give you access to information about the questions asked and variables. It will not give you access to the data.

    For further documentation and information see this site from New York University Libraries. The Gallup documentation for the World Poll methodology is also available under the Data and Documentation tab.

    In addition to the World Poll and Daily Tracking Poll, also available are the Gallup Covid-19 Survey, Gallup Poll Social Series Surveys, Race Relations Survey, Confidence in Institutions Survey, Honesty and Ethics in Professions Survey, and Religion Battery.

    The process for getting access to respondent-level data from the Gallup U.S. Daily Tracking is similar to the World Poll Survey. There is no comparable discovery tool for U.S. Daily Tracking poll questions, however. Users need to consult the codebooks and available variables across years.

    The COVID-19 web survey began on March 13, 2020 with daily random samples of U.S. adults, aged 18 and older who are members of the Gallup Panel. Before requesting data, please see the Gallup Panel COVID-19 Survey Methodology and Codebook.

    The Gallup Poll Social Series (GPSS) dataset is a set of public opinion surveys designed to monitor U.S. adults’ views on numerous social, economic, and political topics. More information is available on the Gallup website: https://www.gallup.com/175307/gallup-poll-social-series-methodology.aspx As each month has a unique codebook, contact CCSS-ResearchSupport@cornell.edu to discuss your interests and start the data request process.

    Starting in 1973, Gallup started measuring the confidence level in several US institutions like Congress, Presidency, Supreme Court, Police, etc. The included dataset includes data beginning in 1973 and data is collected once per year. Users should consult the list of available variables.

    The Race Relations Poll includes topics that were previously represented in the GPSS Minority Relations Survey that ran through 2016. The Race Relations Survey was conducted November 2018. Users should consult the codebook for this poll before making their request.

    The Honesty and Ethics in Professions Survey – Starting in 1976, Gallup started measuring US perceptions of the honesty and ethics of a list of professions. The included dataset was added to the collection in March 2023 and includes data ranging from 1976-2022. Documentation for this collection is located here and will require you to request access.

    Religion Battery: Consolidated list of items focused on religion in the US from 1999-2022. Documentation for this collection is located here and will require you to request access.

  5. Gallup World Poll 2013, June - Afghanistan, Angola, Albania...and 183 more

    • catalog.ihsn.org
    • datacatalog.ihsn.org
    Updated Jun 14, 2022
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    Gallup, Inc. (2022). Gallup World Poll 2013, June - Afghanistan, Angola, Albania...and 183 more [Dataset]. https://catalog.ihsn.org/catalog/8494
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    Dataset updated
    Jun 14, 2022
    Dataset authored and provided by
    Gallup, Inc.http://gallup.com/
    Time period covered
    2005 - 2012
    Area covered
    Albania, Afghanistan, Angola
    Description

    Abstract

    Gallup Worldwide Research continually surveys residents in more than 150 countries, representing more than 98% of the world's adult population, using randomly selected, nationally representative samples. Gallup typically surveys 1,000 individuals in each country, using a standard set of core questions that has been translated into the major languages of the respective country. In some regions, supplemental questions are asked in addition to core questions. Face-to-face interviews are approximately 1 hour, while telephone interviews are about 30 minutes. In many countries, the survey is conducted once per year, and fieldwork is generally completed in two to four weeks. The Country Dataset Details spreadsheet displays each country's sample size, month/year of the data collection, mode of interviewing, languages employed, design effect, margin of error, and details about sample coverage.

    Gallup is entirely responsible for the management, design, and control of Gallup Worldwide Research. For the past 70 years, Gallup has been committed to the principle that accurately collecting and disseminating the opinions and aspirations of people around the globe is vital to understanding our world. Gallup's mission is to provide information in an objective, reliable, and scientifically grounded manner. Gallup is not associated with any political orientation, party, or advocacy group and does not accept partisan entities as clients. Any individual, institution, or governmental agency may access the Gallup Worldwide Research regardless of nationality. The identities of clients and all surveyed respondents will remain confidential.

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    SAMPLING AND DATA COLLECTION METHODOLOGY With some exceptions, all samples are probability based and nationally representative of the resident population aged 15 and older. The coverage area is the entire country including rural areas, and the sampling frame represents the entire civilian, non-institutionalized, aged 15 and older population of the entire country. Exceptions include areas where the safety of interviewing staff is threatened, scarcely populated islands in some countries, and areas that interviewers can reach only by foot, animal, or small boat.

    Telephone surveys are used in countries where telephone coverage represents at least 80% of the population or is the customary survey methodology (see the Country Dataset Details for detailed information for each country). In Central and Eastern Europe, as well as in the developing world, including much of Latin America, the former Soviet Union countries, nearly all of Asia, the Middle East, and Africa, an area frame design is used for face-to-face interviewing.

    The typical Gallup Worldwide Research survey includes at least 1,000 surveys of individuals. In some countries, oversamples are collected in major cities or areas of special interest. Additionally, in some large countries, such as China and Russia, sample sizes of at least 2,000 are collected. Although rare, in some instances the sample size is between 500 and 1,000. See the Country Dataset Details for detailed information for each country.

    FACE-TO-FACE SURVEY DESIGN

    FIRST STAGE In countries where face-to-face surveys are conducted, the first stage of sampling is the identification of 100 to 135 ultimate clusters (Sampling Units), consisting of clusters of households. Sampling units are stratified by population size and or geography and clustering is achieved through one or more stages of sampling. Where population information is available, sample selection is based on probabilities proportional to population size, otherwise simple random sampling is used. Samples are drawn independent of any samples drawn for surveys conducted in previous years.

    There are two methods for sample stratification:

    METHOD 1: The sample is stratified into 100 to 125 ultimate clusters drawn proportional to the national population, using the following strata: 1) Areas with population of at least 1 million 2) Areas 500,000-999,999 3) Areas 100,000-499,999 4) Areas 50,000-99,999 5) Areas 10,000-49,999 6) Areas with less than 10,000

    The strata could include additional stratum to reflect populations that exceed 1 million as well as areas with populations less than 10,000. Worldwide Research Methodology and Codebook Copyright © 2008-2012 Gallup, Inc. All rights reserved. 8

    METHOD 2:

    A multi-stage design is used. The country is first stratified by large geographic units, and then by smaller units within geography. A minimum of 33 Primary Sampling Units (PSUs), which are first stage sampling units, are selected. The sample design results in 100 to 125 ultimate clusters.

    SECOND STAGE

    Random route procedures are used to select sampled households. Unless an outright refusal occurs, interviewers make up to three attempts to survey the sampled household. To increase the probability of contact and completion, attempts are made at different times of the day, and where possible, on different days. If an interviewer cannot obtain an interview at the initial sampled household, he or she uses a simple substitution method. Refer to Appendix C for a more in-depth description of random route procedures.

    THIRD STAGE

    Respondents are randomly selected within the selected households. Interviewers list all eligible household members and their ages or birthdays. The respondent is selected by means of the Kish grid (refer to Appendix C) in countries where face-to-face interviewing is used. The interview does not inform the person who answers the door of the selection criteria until after the respondent has been identified. In a few Middle East and Asian countries where cultural restrictions dictate gender matching, respondents are randomly selected using the Kish grid from among all eligible adults of the matching gender.

    TELEPHONE SURVEY DESIGN

    In countries where telephone interviewing is employed, random-digit-dial (RDD) or a nationally representative list of phone numbers is used. In select countries where cell phone penetration is high, a dual sampling frame is used. Random respondent selection is achieved by using either the latest birthday or Kish grid method. At least three attempts are made to reach a person in each household, spread over different days and times of day. Appointments for callbacks that fall within the survey data collection period are made.

    PANEL SURVEY DESIGN

    Prior to 2009, United States data were collected using The Gallup Panel. The Gallup Panel is a probability-based, nationally representative panel, for which all members are recruited via random-digit-dial methodology and is only used in the United States. Participants who elect to join the panel are committing to the completion of two to three surveys per month, with the typical survey lasting 10 to 15 minutes. The Gallup Worldwide Research panel survey is conducted over the telephone and takes approximately 30 minutes. No incentives are given to panel participants. Worldwide Research Methodology and Codebook Copyright © 2008-2012 Gallup, Inc. All rights reserved. 9

    Research instrument

    QUESTION DESIGN

    Many of the Worldwide Research questions are items that Gallup has used for years. When developing additional questions, Gallup employed its worldwide network of research and political scientists1 to better understand key issues with regard to question development and construction and data gathering. Hundreds of items were developed, tested, piloted, and finalized. The best questions were retained for the core questionnaire and organized into indexes. Most items have a simple dichotomous ("yes or no") response set to minimize contamination of data because of cultural differences in response styles and to facilitate cross-cultural comparisons.

    The Gallup Worldwide Research measures key indicators such as Law and Order, Food and Shelter, Job Creation, Migration, Financial Wellbeing, Personal Health, Civic Engagement, and Evaluative Wellbeing and demonstrates their correlations with world development indicators such as GDP and Brain Gain. These indicators assist leaders in understanding the broad context of national interests and establishing organization-specific correlations between leading indexes and lagging economic outcomes.

    Gallup organizes its core group of indicators into the Gallup World Path. The Path is an organizational conceptualization of the seven indexes and is not to be construed as a causal model. The individual indexes have many properties of a strong theoretical framework. A more in-depth description of the questions and Gallup indexes is included in the indexes section of this document. In addition to World Path indexes, Gallup Worldwide Research questions also measure opinions about national institutions, corruption, youth development, community basics, diversity, optimism, communications, religiosity, and numerous other topics. For many regions of the world, additional questions that are specific to that region or country are included in surveys. Region-specific questions have been developed for predominantly Muslim nations, former Soviet Union countries, the Balkans, sub-Saharan Africa, Latin America, China and India, South Asia, and Israel and the Palestinian Territories.

    The questionnaire is translated into the major conversational languages of each country. The translation process starts with an English, French, or Spanish version, depending on the region. One of two translation methods may be used.

    METHOD 1: Two independent translations are completed. An independent third party, with some knowledge of survey research methods, adjudicates the differences. A professional translator translates the final version back into the source language.

    METHOD 2: A translator

  6. d

    The Australian Voter Experience (AVE) dataset

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Nov 21, 2023
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    Norris, Pippa; Nai, Alessandro; Karp, Jeffrey (2023). The Australian Voter Experience (AVE) dataset [Dataset]. http://doi.org/10.7910/DVN/FEBKDE
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    Dataset updated
    Nov 21, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Norris, Pippa; Nai, Alessandro; Karp, Jeffrey
    Area covered
    Australia
    Description

    The Electoral Integrity Project at Harvard University and the University of Sydney (www.electoralintegrityproject.com) developed the AVE data, release 1.0. The dataset contains information from a three-wave panel survey designed to gather the views of a representative sample of ordinary Australians just before and after the 2nd July 2016 Australian federal elections. The survey monitored Australian voters’ experience at the polls, perceptions of the integrity and convenience of the registration and voting process, patterns of civic engagement, public confidence in electoral administration, and attitudes towards reforms, such as civic education campaigns and convenience voting facilities. Respondents were initially contacted in the week before the election between 28 June and 1 July and completed an online questionnaire lasting approximately 15 minutes. This forms the pre-election base line survey (wave 1). The same individuals were contacted again after the election to complete a longer survey, an average of 25 minutes in length. Respondents in wave 2 were contacted between 4 July and 19 July, with two thirds completing the survey after the first week. About six weeks later, the same respondents were interviewed again (wave 3) beginning on 23 August and ending on 13 September. The initial sample contains 2,139 valid responses for the first wave of questionnaires, 1,838 for the second wave (an 86 percent retention rate), and 1,543 for the third wave (84 percent retention rate). Overall, 72 percent of the respondents were carried over from the pre-election wave to the final wave. The following files can be accessed: a) dataset in Stata and SPSS formats; b) codebook; c) questionnaire. The EIP acknowledges support from the Kathleen Fitzpatrick Australian Laureate from the Australian Research Council (ARC ref: FL110100093). **** EIP further publications: BOOKS • LeDuc, Lawrence, Richard Niemi and Pippa Norris. Eds. 2014. Comparing Democracies 4: Elections and Voting in a Changing World. London: Sage Publications. • Nai, Alessandro and Walter, Annemarie. Eds. 2015 New Perspectives on Negative Campaigning: Why Attack Politics Matters. Colchester: ECPR Press. • Norris, Pippa, Richard W. Frank and Ferran Martínez i Coma. Eds. 2014. Advancing Electoral Integrity. New York: Oxford University Press. • Norris, Pippa, Richard W. Frank and Ferran Martínez i Coma. Eds. 2015. Contentious Elections: From Ballots to the Barricades. New York: Routledge. • Norris, Pippa. 2014. Why Electoral Integrity Matters. New York: Cambridge University Press. • Norris, Pippa. 2015. Why Elections Fail. New York: Cambridge University Press. • Norris, Pippa and Andrea Abel van Es. Eds. 2016. Checkbook Elections? Political Finance in Comparative Perspective. Oxford University Press. ARTICLES AND CHAPTERS • W. Frank. 2013. ‘Assessing the quality of elections.’ Journal of Democracy. 24(4): 124-135.• Lago, Ignacio and Martínez i Coma, Ferran. 2016. ‘Challenge or Consent? Understanding Losers’ Reactions in Mass Elections’. Government and Opposition doi:10.1071/gov.3015.31 • Martínez i Coma, Ferran and Lago, Ignacio. 2016. 'Gerrymandering in Comparative Perspective’ Party Politics DOI: 10.1177/1354068816642806 • Norris, Pippa. 2013. ‘Does the world agree about standards of electoral integrity? Evidence for the diffusion of global norms.’ Special issue of Electoral Studies. 32(4):576-588. • Norris, Pippa. 2013. ‘The new research agenda studying electoral integrity’. Special issue of Electoral Studies. 32(4): 563-575.57 • Norris, Pippa. 2014. ‘Electoral integrity and political legitimacy.’ In Comparing Democracies 4. Lawrence LeDuc, Richard Niemi and Pippa Norris. Eds. London: Sage. • Norris, Pippa, Richard W. Frank and Ferran Martínez i Coma. 2014. ‘Measuring electoral integrity: A new dataset.’ PS: Political Science & Politics. 47(4): 789-798. • Norris, Pippa. 2016 (forthcoming). ‘Electoral integrity in East Asia.’ Routledge Handbook on Democratization in East Asia. Tun-jen Cheng and Yun-han Chu. Eds. Routledge: New York. • Norris, Pippa. 2016 (forthcoming). ‘Electoral transitions: Stumbling out of the gate.’ In Rebooting Transitology – Democratization in the 21st Century. Mohammad-Mahmoud Ould Mohamedou and Timothy D. Sisk. Eds. • Pietsch, Juliet; Michael Miller and Jeffrey Karp. 2015. ‘Public support for democracy in transitional regimes.’ Journal of Elections, Public Opinion and Parties. 25(1): 1–9. DOI: 10.1080/17457289.2014. • Smith, Rodney. 2016 (forthcoming). ‘Confidence in paper-based and electronic voting channels: Evidence from Australia.’ Australian Journal of Political Science. ID: 1093091 DOI: 10.1080/10361146.2015.1093091 dx.doi.org/10.1080/07907184.2015.1099097 • Van Ham, Carolien and Staffan Lindberg. 2015. ‘From sticks to carrots: Electoral manipulation in Africa, 1986-2012’, Gover... Visit https://dataone.org/datasets/sha256%3A9efcfe40123531a7f785369bae96a30beb0f41c1ce7334bc7c398a54be5e69f5 for complete metadata about this dataset.

  7. e

    National Opinion Polls National Political Survey, March 1964 - Dataset -...

    • b2find.eudat.eu
    Updated Oct 22, 2023
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    (2023). National Opinion Polls National Political Survey, March 1964 - Dataset - B2FIND [Dataset]. https://b2find.eudat.eu/dataset/10a6cf1d-e5ef-5df5-8c1a-d94023d2588e
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    Dataset updated
    Oct 22, 2023
    Description

    Abstract copyright UK Data Service and data collection copyright owner.The NOP National Political Surveys were designed principally to ascertain public opinion on political parties, leaders and government, and to record voting intention. In addition, the majority of the surveys included data of topical interest and of social importance. Main Topics:The surveys vary, but topics covered over time include: voting intention; satisfaction with: the Government, the Prime Minister, the Leader of the Opposition, the political system and institutions; opinions on problems facing Government; the political parties; voting and electoral behaviour; foreign affairs and defence; economic and industrial affairs; social issues (e.g. welfare, education, health, housing, environment); law, crime and justice; religious beliefs; role of women; race relations; attitudes to pornography, birth control, family planning, marriage, abortion, drugs, gambling, leisure; special issues and events. Please note that not every topic is covered in all surveys. Classification details include: constituency, age and sex, terminal education age, marital status, social class, trade union membership and employment status. Two-stage stratified, area cluster sample. For details see the National Opinion Polls publication Political, social and economic review, 30, April 1981.

  8. 2020 Election Administration and Voting Survey

    • catalog.data.gov
    Updated May 28, 2025
    + more versions
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    Election Assistance Commission (2025). 2020 Election Administration and Voting Survey [Dataset]. https://catalog.data.gov/dataset/2020-election-administration-and-voting-survey
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    Dataset updated
    May 28, 2025
    Dataset provided by
    The U.S. Election Assistance Commission.http://www.eac.gov/
    Description

    This dataset contains data about domestic absentee voting, provisional balloting, poll books, polling place, precincts, poll workers, and voting technology used in the 2020 election cycle. The corresponding comprehensive report addresses voter registration, uniformed and overseas citizen voting, domestic absentee voting, provisional balloting, poll books, polling place, precincts, poll workers, and voting technology used in the 2020 election. The Election Administration and Voting Survey report is part of EAC's Election Administration and Voting Survey biennial project.

  9. New York City Health Opinion Poll

    • data.cityofnewyork.us
    • catalog.data.gov
    application/rdfxml +5
    Updated Apr 13, 2021
    + more versions
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    Department of Health and Mental Hygiene (DOHMH) (2021). New York City Health Opinion Poll [Dataset]. https://data.cityofnewyork.us/Health/New-York-City-Health-Opinion-Poll/67up-ztdf
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    csv, tsv, json, application/rdfxml, application/rssxml, xmlAvailable download formats
    Dataset updated
    Apr 13, 2021
    Dataset provided by
    New York City Department of Health and Mental Hygienehttps://nyc.gov/health
    Authors
    Department of Health and Mental Hygiene (DOHMH)
    Area covered
    New York
    Description

    The New York City Health Opinion Poll (HOP) is a periodic rapid online poll conducted by New York City Department of Health and Mental Hygiene. The goals of the poll are to measure adult New Yorkers’ awareness, acceptance and use — or barriers to use — of our programs; knowledge, opinions and attitudes about health care and practices; and opinions about public events that are related to health. The data collected through public health polling are rapidly analyzed and disseminated. This real-time community input informs programming and policy development at the Health Department to better meet the needs of New Yorkers.

  10. Gallup Poll Social Series (GPSS)

    • redivis.com
    • stanford.redivis.com
    application/jsonl +7
    Updated Jul 10, 2025
    + more versions
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    Stanford University Libraries (2025). Gallup Poll Social Series (GPSS) [Dataset]. http://doi.org/10.57761/vxfa-he67
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    csv, spss, sas, avro, stata, arrow, parquet, application/jsonlAvailable download formats
    Dataset updated
    Jul 10, 2025
    Dataset provided by
    Redivis Inc.
    Authors
    Stanford University Libraries
    Description

    Abstract

    The Gallup Poll Social Series (GPSS) is a set of public opinion surveys designed to monitor U.S. adults' views on numerous social, economic, and political topics. The topics are arranged thematically across 12 surveys. Gallup administers these surveys during the same month every year and includes the survey's core trend questions in the same order each administration. Using this consistent standard allows for unprecedented analysis of changes in trend data that are not susceptible to question order bias and seasonal effects.

    Introduced in 2001, the GPSS is the primary method Gallup uses to update several hundred long-term Gallup trend questions, some dating back to the 1930s. The series also includes many newer questions added to address contemporary issues as they emerge.

    The dataset currently includes responses from up to and including 2025.

    Methodology

    Gallup conducts one GPSS survey per month, with each devoted to a different topic, as follows:

    January: Mood of the Nation

    February: World Affairs

    March: Environment

    April: Economy and Finance

    May: Values and Beliefs

    June: Minority Rights and Relations (discontinued after 2016)

    July: Consumption Habits

    August: Work and Education

    September: Governance

    October: Crime

    November: Health

    December: Lifestyle (conducted 2001-2008)

    The core questions of the surveys differ each month, but several questions assessing the state of the nation are standard on all 12: presidential job approval, congressional job approval, satisfaction with the direction of the U.S., assessment of the U.S. job market, and an open-ended measurement of the nation's "most important problem." Additionally, Gallup includes extensive demographic questions on each survey, allowing for in-depth analysis of trends.

    Interviews are conducted with U.S. adults aged 18 and older living in all 50 states and the District of Columbia using a dual-frame design, which includes both landline and cellphone numbers. Gallup samples landline and cellphone numbers using random-digit-dial methods. Gallup purchases samples for this study from Survey Sampling International (SSI). Gallup chooses landline respondents at random within each household based on which member had the next birthday. Each sample of national adults includes a minimum quota of 70% cellphone respondents and 30% landline respondents, with additional minimum quotas by time zone within region. Gallup conducts interviews in Spanish for respondents who are primarily Spanish-speaking.

    Gallup interviews a minimum of 1,000 U.S. adults aged 18 and older for each GPSS survey. Samples for the June Minority Rights and Relations survey are significantly larger because Gallup includes oversamples of Blacks and Hispanics to allow for reliable estimates among these key subgroups.

    Gallup weights samples to correct for unequal selection probability, nonresponse, and double coverage of landline and cellphone users in the two sampling frames. Gallup also weights its final samples to match the U.S. population according to gender, age, race, Hispanic ethnicity, education, region, population density, and phone status (cellphone only, landline only, both, and cellphone mostly).

    Demographic weighting targets are based on the most recent Current Population Survey figures for the aged 18 and older U.S. population. Phone status targets are based on the most recent National Health Interview Survey. Population density targets are based on the most recent U.S. Census.

    Usage

    The year appended to each table name represents when the data was last updated. For example, January: Mood of the Nation - 2025** **has survey data collected up to and including 2025.

    For more information about what survey questions were asked over time, see the Supporting Files.

    Bulk Data Access

    Data access is required to view this section.

  11. A

    Replication Data for: Does name order still matter for candidates in a...

    • data.aussda.at
    tsv, type/x-r-syntax
    Updated Aug 27, 2019
    + more versions
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    Liu Mingnan; Liu Mingnan (2019). Replication Data for: Does name order still matter for candidates in a presidential primary poll in the US? Lack of response order effect in a web survey experiment [Dataset]. http://doi.org/10.11587/DUUGBY
    Explore at:
    tsv(633496), type/x-r-syntax(8431)Available download formats
    Dataset updated
    Aug 27, 2019
    Dataset provided by
    AUSSDA
    Authors
    Liu Mingnan; Liu Mingnan
    License

    https://data.aussda.at/api/datasets/:persistentId/versions/2.0/customlicense?persistentId=doi:10.11587/DUUGBYhttps://data.aussda.at/api/datasets/:persistentId/versions/2.0/customlicense?persistentId=doi:10.11587/DUUGBY

    Area covered
    United States
    Dataset funded by
    n/a
    Description

    During elections, political polls provide critical data for the support each candidate receives. For that reason, the measurement of questions asking about candidate support has been receiving some research attention. As the online survey is increasingly becoming a widely used tool for public opinion and election polls, evaluation of the measurement error associated with this survey mode is of importance. This study examines whether a candidate name order effect exists in presidential primary election surveys in the US. The findings show that contrary to previous studies the order of names does not have a significant impact on the support candidates received.

  12. Gallup Respondent-Level Data: World Poll

    • datacatalog.med.nyu.edu
    Updated Mar 22, 2024
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    Gallup (2024). Gallup Respondent-Level Data: World Poll [Dataset]. https://datacatalog.med.nyu.edu/dataset/10183
    Explore at:
    Dataset updated
    Mar 22, 2024
    Dataset provided by
    Gallup, Inc.http://gallup.com/
    Authors
    Gallup
    Area covered
    International
    Description

    The Gallup World Poll is an ongoing global survey that collects respondents' opinions on a variety of topics. In geographic regions that have low access to telephone services, survey staff go to that area and to ask residents questions in-person. The Gallup World Poll includes core questions on business and economics, citizen engagement, communications and technology, education and families, environment and energy, food and shelter, government and politics, health, law and order, religion and ethics, social issues, well-being, and work. Additional questions may be included or edited depending on geographic location.

  13. d

    Poll Worker Survey - Pre 2022 Election

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Sep 24, 2024
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    Lamb, Matt (2024). Poll Worker Survey - Pre 2022 Election [Dataset]. http://doi.org/10.7910/DVN/BN9HKJ
    Explore at:
    Dataset updated
    Sep 24, 2024
    Dataset provided by
    Harvard Dataverse
    Authors
    Lamb, Matt
    Description

    Pre 2022 survey of poll workers. Visit https://dataone.org/datasets/sha256%3A98d7b39ba3b35878a1f162442ec0898f48d25f26c2f7aa36b4ab0374cccfb583 for complete metadata about this dataset.

  14. e

    National Opinion Polls Merged Political Surveys, 1963-1966 - Dataset -...

    • b2find.eudat.eu
    Updated May 9, 2023
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    (2023). National Opinion Polls Merged Political Surveys, 1963-1966 - Dataset - B2FIND [Dataset]. https://b2find.eudat.eu/dataset/a712f63d-e3db-5e19-8431-b31f9bf1dfe8
    Explore at:
    Dataset updated
    May 9, 2023
    Description

    Abstract copyright UK Data Service and data collection copyright owner. These data comprise a collection of information on standard questions asked in all surveys dated 18th October 1963 to 9th December 1966. Main Topics: Attitudinal/Behavioural Questions Voting intention, voting inclination. Background Variables Sex, age, social class, trade union membership, age completed full-time education, borough-county code, standard region, constituency. Face-to-face interview

  15. Combined variable listing for all monthly Gallup Poll Social Series (GPSS)...

    • aura.american.edu
    Updated Aug 2, 2024
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    Gallup, Inc. (2024). Combined variable listing for all monthly Gallup Poll Social Series (GPSS) micro-datasets [Dataset]. http://doi.org/10.57912/25429537
    Explore at:
    Dataset updated
    Aug 2, 2024
    Dataset authored and provided by
    Gallup, Inc.http://gallup.com/
    License

    http://rightsstatements.org/vocab/InC/1.0/http://rightsstatements.org/vocab/InC/1.0/

    Description

    Each of the monthly Gallup Poll Social Series (GPSS) micro-datasets has traditionally come with its own "codebook" (although it's really just a listing of variables, codes are not explained), in Microsoft Excel format. This combined variable listing, provided by Gallup Inc. on July 3, 2024, combines them into one file, potentially making it easier to discover what survey questions were asked in which month.

  16. D

    Surveys and polls undertaken by DFSI from 1 Jan 2018 to 29 Nov 2018

    • data.nsw.gov.au
    pdf
    Updated Oct 10, 2019
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    Department of Customer Service (2019). Surveys and polls undertaken by DFSI from 1 Jan 2018 to 29 Nov 2018 [Dataset]. https://data.nsw.gov.au/data/dataset/surveys-and-polls-undertaken-by-dfsi-from-1-jan-2018-to-29-nov-2018
    Explore at:
    pdf(7551974)Available download formats
    Dataset updated
    Oct 10, 2019
    Dataset provided by
    Department of Customer Service
    License

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

    Description

    GIPR18/226 Access granted in part Scope of request Any final briefings or reports (including attachments) to the Deputy Secretary, Secretary and/or Minister, from 1 January 2018 to the date of this application [29 November 2018], regarding surveys or polling conducted by or on behalf of DFSI or any other government agency, including where the survey or polling work has been outsourced to another entity to conduct on DFSI’s behalf. Please do not include any internal staff surveys or polling.

  17. A

    Lowy Institute Poll 2015

    • dataverse.ada.edu.au
    Updated Jul 8, 2025
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    Alexandra Oliver; Alexandra Oliver (2025). Lowy Institute Poll 2015 [Dataset]. http://doi.org/10.4225/87/GPFOQH
    Explore at:
    docx(37409), pdf(4087769), application/x-sas-data(4948992), tsv(315793), tsv(4794), pdf(178194), docx(59354)Available download formats
    Dataset updated
    Jul 8, 2025
    Dataset provided by
    ADA Dataverse
    Authors
    Alexandra Oliver; Alexandra Oliver
    License

    https://dataverse.ada.edu.au/api/datasets/:persistentId/versions/1.3/customlicense?persistentId=doi:10.4225/87/GPFOQHhttps://dataverse.ada.edu.au/api/datasets/:persistentId/versions/1.3/customlicense?persistentId=doi:10.4225/87/GPFOQH

    Time period covered
    2013 - 2015
    Area covered
    Australia
    Description

    The Lowy Institute Poll reports the results of the Institute's annual nationally representative telephone opinion survey, conducted in 2015 by market research company I-view, with supplementary polling commissioned by the Lowy Institute and conducted by Newspoll. Supplementary Newspoll collections are not provided in the dataset. For the annual survey, I-view surveyed 1200 Australian adults between 20 February and 8 March 2015. Four supplementary polls were conducted by Newspoll on 13-15 February (1211 adults), 10-12 April (1215 adults), 1-3 May (1213 adults) and 22-24 May (1210 adults), the findings from these are in the reports but not in the data. A number of the questions in the Poll were first asked in previous Lowy Institute Polls, or have been adapted from questions asked in those years. Repeating questions in successive years allows the comparison of public opinion on a single issue over time, building trend data on important international policy issues. Some of the questions this year are identical to questions asked previously by other survey organisations, which allows for the comparison of public opinion internationally. Several of the questions in this year’s Poll were modeled on those asked by other polling organisations, including the Council on Foreign Relations, Transatlantic Trends and Pew Research Center. Other questions this year drew from work of the Chicago Council on Global Affairs, and polling on energy sources by Bisconti Research for the Nuclear Energy Institute.The order of questions in the questionnaires was different from the order presented in the report supplied in documentation.

  18. d

    Replication Data for \"How do Politicians Respond to Opinion Polls? An...

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Nov 22, 2023
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    Schumacher, Gijs (2023). Replication Data for \"How do Politicians Respond to Opinion Polls? An Experiment with Swedish Politicians.\" [Dataset]. http://doi.org/10.7910/DVN/ENEHLE
    Explore at:
    Dataset updated
    Nov 22, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Schumacher, Gijs
    Description

    This dataset contains anonymized answers to a survey conducted among Swedish politicians. The survey contains an experiment exposing politicians to losses or gains in the polls.

  19. g

    Kentucky Fall Poll Survey, 1995

    • datasearch.gesis.org
    • dataverse-staging.rdmc.unc.edu
    Updated Jan 22, 2020
    + more versions
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    Survey Research Center, University of Kentucky (2020). Kentucky Fall Poll Survey, 1995 [Dataset]. https://datasearch.gesis.org/dataset/httpsdataverse.unc.eduoai--hdl1902.29D-30922
    Explore at:
    Dataset updated
    Jan 22, 2020
    Dataset provided by
    Odum Institute Dataverse Network
    Authors
    Survey Research Center, University of Kentucky
    Area covered
    Kentucky
    Description

    This statewide survey focuses on life in Kentucky, President and Governor ratings, political affiliation and work history. Additional variables include financial well being, troop in Bosnia, school reform, KERA, health insurance, abortion, welfare, Medicaid, repressed memories, outdoor recreation, wildlife, leisure time, disability, seat belts, and term limits.

  20. c

    Connecticut Poll Special Survey #163, 1994

    • archive.ciser.cornell.edu
    Updated Feb 7, 2020
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    Reader's Digest Association (2020). Connecticut Poll Special Survey #163, 1994 [Dataset]. http://doi.org/10.6077/m1mw-9f06
    Explore at:
    Dataset updated
    Feb 7, 2020
    Dataset authored and provided by
    Reader's Digest Association
    Area covered
    Connecticut
    Variables measured
    Individual
    Description

    This poll was sponsored by Reader's Digest and conducted by the Institute for Social Inquiry. A National sample of 1,053 adults were polled on August 22-29, 1994. Major topics included: political leaders; volunteering; religion.

    Please Note: This dataset is part of the historical CISER Data Archive Collection and is also available at the Roper Center for Public Opinion Research at https://doi.org/10.25940/ROPER-31092702. We highly recommend using the Roper Center version as they made this dataset available in multiple data formats.

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Stanford University Libraries (2025). Gallup World Poll [Dataset]. http://doi.org/10.57761/xkms-eq09
Organization logo

Gallup World Poll

Explore at:
parquet, sas, stata, arrow, spss, application/jsonl, avro, csvAvailable download formats
Dataset updated
Jul 10, 2025
Dataset provided by
Redivis Inc.
Authors
Stanford University Libraries
Area covered
World
Description

Abstract

Gallup’s World Poll continually surveys residents in more than 150 countries and areas, representing more than 98% of the world’s adult population, using randomly selected, nationally representative samples. Gallup typically surveys 1,000 individuals in each country or area, using a standard set of core questions that has been translated into the major languages of the respective country. In some regions, supplemental questions are asked in addition to core questions. Face-to-face interviews are approximately 1 hour, while telephone interviews are about 30 minutes. In many countries, the survey is conducted once per year, and fieldwork is generally completed in two to four weeks. The Country Dataset Details document displays each country’s sample size, month/year of the data collection, mode of interviewing, languages employed, design effect, margin of error and details about sample coverage.

The data was last updated March 2025.

Bulk Data Access

Data access is required to view this section.

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