76 datasets found
  1. Gallup World Poll

    • redivis.com
    • stanford.redivis.com
    application/jsonl +7
    Updated Oct 28, 2025
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    Stanford University Libraries (2025). Gallup World Poll [Dataset]. http://doi.org/10.57761/pb8f-d084
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    avro, stata, parquet, csv, spss, sas, arrow, application/jsonlAvailable download formats
    Dataset updated
    Oct 28, 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 September 2025.

    Bulk Data Access

    Data access is required to view this section.

  2. r

    Gallup World Poll Wave 16-20 - October 2025

    • redivis.com
    Updated Feb 15, 2025
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    Duke University Libraries (2025). Gallup World Poll Wave 16-20 - October 2025 [Dataset]. https://redivis.com/datasets/fvh6-9j1n8q38c
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    Dataset updated
    Feb 15, 2025
    Dataset authored and provided by
    Duke University Libraries
    Area covered
    World
    Description

    The table Gallup World Poll Wave 16-20 - October 2025 is part of the dataset Gallup World Poll, available at https://redivis.com/datasets/fvh6-9j1n8q38c. It contains 601594 rows across 516 variables.

  3. r

    Gallup World Poll Wave 11-15 - October 2025

    • redivis.com
    Updated Feb 15, 2025
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    Duke University Libraries (2025). Gallup World Poll Wave 11-15 - October 2025 [Dataset]. https://redivis.com/datasets/fvh6-9j1n8q38c
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    Dataset updated
    Feb 15, 2025
    Dataset authored and provided by
    Duke University Libraries
    Area covered
    World
    Description

    The table Gallup World Poll Wave 11-15 - October 2025 is part of the dataset Gallup World Poll, available at https://redivis.com/datasets/fvh6-9j1n8q38c. It contains 764491 rows across 620 variables.

  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
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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. r

    Gallup World Poll - October 2025

    • redivis.com
    Updated Feb 15, 2025
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    Duke University Libraries (2025). Gallup World Poll - October 2025 [Dataset]. https://redivis.com/datasets/fvh6-9j1n8q38c
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    Dataset updated
    Feb 15, 2025
    Dataset authored and provided by
    Duke University Libraries
    Area covered
    World
    Description

    The table Gallup World Poll - October 2025 is part of the dataset Gallup World Poll, available at https://redivis.com/datasets/fvh6-9j1n8q38c. It contains 2925095 rows across 2768 variables.

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

    • datacatalog.ihsn.org
    • catalog.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://datacatalog.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
    Angola, Albania, Afghanistan
    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

  7. r

    Gallup World Poll Wave 1-5 October 2025

    • redivis.com
    Updated Feb 15, 2025
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    Duke University Libraries (2025). Gallup World Poll Wave 1-5 October 2025 [Dataset]. https://redivis.com/datasets/fvh6-9j1n8q38c
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    Dataset updated
    Feb 15, 2025
    Dataset authored and provided by
    Duke University Libraries
    Area covered
    World
    Description

    The table Gallup World Poll Wave 1-5 October 2025 is part of the dataset Gallup World Poll, available at https://redivis.com/datasets/fvh6-9j1n8q38c. It contains 656210 rows across 2087 variables.

  8. A

    Australian Gallup Poll, Survey 18, July 31, 1943

    • dataverse.ada.edu.au
    pdf, zip
    Updated May 20, 2019
    + more versions
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    ADA Dataverse (2019). Australian Gallup Poll, Survey 18, July 31, 1943 [Dataset]. http://doi.org/10.26193/OOEAQU
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    pdf(231952), pdf(202807), zip(28354), zip(33472), pdf(8681), zip(31298), pdf(151541), zip(20929)Available download formats
    Dataset updated
    May 20, 2019
    Dataset provided by
    ADA Dataverse
    License

    https://dataverse.ada.edu.au/api/datasets/:persistentId/versions/2.0/customlicense?persistentId=doi:10.26193/OOEAQUhttps://dataverse.ada.edu.au/api/datasets/:persistentId/versions/2.0/customlicense?persistentId=doi:10.26193/OOEAQU

    Time period covered
    Jul 1, 1943
    Area covered
    Victoria, Tasmania, Australia, Queensland, Australia, Australia
    Description

    The Australian Gallup Polls, commissioned by Australian Public Opinion Polls (The Gallup Method) cover the periods of 1943-1968 and 1975-1987. Australian Gallup Polls comprise two subseries: the earlier series conducted by Roy Morgan (1943-1968); and the later series by McNair Anderson Associates (1975-1983). Opinion polls in the earlier series were conducted on a regular basis by Roy Morgan and the current holding of this archive date from July 1943 to August 1968, a total of 89 polls. The data are also available from the Roper Centre, University of Connecticut, U.S.A, where they were originally deposited. Topics covered in this survey, Australian Gallup Poll Survey 18 July 31,1943, are alcohol prohibition, Curtin, J., defence: army, all-party government, compulsory savings and investment, schools leaving age, and membership of trade unions. Background Variables: age, sex, economic classification, occupation of head of household, vote at last Federal election, present voting intention, car ownership and phone subscription.

  9. r

    Gallup World Poll Wave 6-10 - October 2025

    • redivis.com
    Updated Feb 15, 2025
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    Duke University Libraries (2025). Gallup World Poll Wave 6-10 - October 2025 [Dataset]. https://redivis.com/datasets/fvh6-9j1n8q38c
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    Dataset updated
    Feb 15, 2025
    Dataset authored and provided by
    Duke University Libraries
    Area covered
    World
    Description

    The table Gallup World Poll Wave 6-10 - October 2025 is part of the dataset Gallup World Poll, available at https://redivis.com/datasets/fvh6-9j1n8q38c. It contains 902800 rows across 1279 variables.

  10. Food Insecurity Experience Scale 2024 - Netherlands

    • microdata.worldbank.org
    • datacatalog.ihsn.org
    Updated Aug 6, 2025
    + more versions
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    Food and Agriculture Organization of the United Nations (2025). Food Insecurity Experience Scale 2024 - Netherlands [Dataset]. https://microdata.worldbank.org/index.php/catalog/7823
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    Dataset updated
    Aug 6, 2025
    Dataset provided by
    Food and Agriculture Organizationhttp://fao.org/
    Authors
    Food and Agriculture Organization of the United Nations
    Time period covered
    2024
    Area covered
    Netherlands
    Description

    Abstract

    Sustainable Development Goal (SDG) target 2.1 commits countries to end hunger, ensure access by all people to safe, nutritious and sufficient food all year around. Indicator 2.1.2, “Prevalence of moderate or severe food insecurity based on the Food Insecurity Experience Scale (FIES)”, provides internationally-comparable estimates of the proportion of the population facing difficulties in accessing food. More detailed background information is available at https://www.fao.org/measuring-hunger/en.

    The FIES-based indicators are compiled using the FIES survey module, containing eight questions. Two indicators can be computed: 1. The proportion of the population experiencing moderate or severe food insecurity (SDG indicator 2.1.2), 2. The proportion of the population experiencing severe food insecurity.

    These data were collected by FAO through the Gallup World Poll. General information on the methodology can be found here: https://www.gallup.com/178667/gallup-world-poll-work.aspx. National institutions can also collect FIES data by including the FIES survey module in nationally representative surveys.

    Microdata can be used to calculate the indicator 2.1.2 at national level. Instructions for computing this indicator are described in the methodological document available in the downloads tab. Disaggregating results at sub-national level is not encouraged because estimates will suffer from substantial sampling and measurement error.

    Geographic coverage

    National

    Analysis unit

    Individuals

    Universe

    Non-institutionalized adult population (15 years of age or older) living in households with access to landline and/or mobile phones.

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    With some exceptions, all samples are probability based and nationally representative of the resident adult population. 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. For more details on the overall sampling and data collection methodology, see the World poll methodology attached as a resource in the downloads tab. Specific sampling details for each country are also attached as technical documents in the downloads tab. Exclusions: NA Design effect: 1.52

    Mode of data collection

    Computer-Assisted Telephone Interviewing [CATI]

    Cleaning operations

    Statistical validation assesses the quality of the FIES data collected by testing their consistency with the assumptions of the Rasch model. This analysis involves the interpretation of several statistics that reveal 1) items that do not perform well in a given context, 2) cases with highly erratic response patterns, 3) pairs of items that may be redundant, and 4) the proportion of total variance in the population that is accounted for by the measurement model.

    Sampling error estimates

    The margin of error is estimated as 3.8 percentage points. By adding and subtracting this value to the result, the confidence interval at 95% level is obtained. The margin of error was calculated assuming a reported outcome of 50% (giving the maximum sampling variability for that sample size) and takes into account the design effect.

  11. World Happiness Report (2020-2024)

    • kaggle.com
    zip
    Updated Feb 19, 2025
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    Samith Chimminiyan (2025). World Happiness Report (2020-2024) [Dataset]. https://www.kaggle.com/datasets/samithsachidanandan/world-happiness-report-2020-2024
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    zip(22614 bytes)Available download formats
    Dataset updated
    Feb 19, 2025
    Authors
    Samith Chimminiyan
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Area covered
    World
    Description

    The World Happiness Report is a partnership of Gallup, the Oxford Wellbeing Research Centre, the UN Sustainable Development Solutions Network, and the WHR’s Editorial Board. The report is produced under the editorial control of the WHR Editorial Board.

    The World Happiness Report reflects a worldwide demand for more attention to happiness and well-being as criteria for government policy. It reviews the state of happiness in the world today and shows how the science of happiness explains personal and national variations in happiness.

    The report primarily uses data from the Gallup World Poll. As of March 2024, Finland has been ranked the happiest country in the world seven times in a row.

    Attribute Information

    • Country Name: Name of the country.
    • Happiness Rank: Rank of the country
    • Happiness Score: Score of the country.
    • Upperwhisker : Upper score
      • Lowerwhisker : Lower score
    • Economy (GDP per Capita) : GDP
    • Social support: Score from social support
    • Healthy life expectancy: Score from Life Expectancy
    • Freedom to make life choices: Score from Freedom
    • Generosity: Score from Generosity
    • Perceptions of corruption: Score from Perceptions of corruption

    Acknowledgements

    https://worldhappiness.report/

    Photo by Sasha Freemind on Unsplash

  12. f

    Bivariate and multivariate multilevel negative binomial regression models...

    • plos.figshare.com
    xls
    Updated Jun 13, 2023
    + more versions
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    Isobel Sharpe; Colleen M. Davison (2023). Bivariate and multivariate multilevel negative binomial regression models examining the association between food insecurity (Food Insecurity Experiences Scale) and poor mental health (Daily Experience Index score) among n = 28,292 youth from the 2017 Gallup World Poll survey. [Dataset]. http://doi.org/10.1371/journal.pgph.0000560.t002
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    xlsAvailable download formats
    Dataset updated
    Jun 13, 2023
    Dataset provided by
    PLOS Global Public Health
    Authors
    Isobel Sharpe; Colleen M. Davison
    License

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

    Description

    Bivariate and multivariate multilevel negative binomial regression models examining the association between food insecurity (Food Insecurity Experiences Scale) and poor mental health (Daily Experience Index score) among n = 28,292 youth from the 2017 Gallup World Poll survey.

  13. f

    Characteristics of the 2017 Gallup World Poll study sample (n = 28,292 youth...

    • figshare.com
    xls
    Updated Jun 16, 2023
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    Isobel Sharpe; Colleen M. Davison (2023). Characteristics of the 2017 Gallup World Poll study sample (n = 28,292 youth from n = 142 countries). [Dataset]. http://doi.org/10.1371/journal.pgph.0000560.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 16, 2023
    Dataset provided by
    PLOS Global Public Health
    Authors
    Isobel Sharpe; Colleen M. Davison
    License

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

    Area covered
    World
    Description

    Descriptive estimates were based on weighted data.

  14. Food Insecurity Experience Scale 2023 - Moldova

    • microdata.worldbank.org
    • catalog.ihsn.org
    Updated Oct 18, 2024
    + more versions
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    FAO Statistics Division (2024). Food Insecurity Experience Scale 2023 - Moldova [Dataset]. https://microdata.worldbank.org/index.php/catalog/6319
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    Dataset updated
    Oct 18, 2024
    Dataset provided by
    Food and Agriculture Organizationhttp://fao.org/
    Authors
    FAO Statistics Division
    Time period covered
    2023
    Area covered
    Moldova
    Description

    Abstract

    Sustainable Development Goal (SDG) target 2.1 commits countries to end hunger, ensure access by all people to safe, nutritious and sufficient food all year around. Indicator 2.1.2, “Prevalence of moderate or severe food insecurity based on the Food Insecurity Experience Scale (FIES)”, provides internationally-comparable estimates of the proportion of the population facing difficulties in accessing food. More detailed background information is available at http://www.fao.org/in-action/voices-of-the-hungry/fies/en/

    The FIES-based indicators are compiled using the FIES survey module, containing 8 questions. Two indicators can be computed:
    1. The proportion of the population experiencing moderate or severe food insecurity (SDG indicator 2.1.2), 2. The proportion of the population experiencing severe food insecurity.

    These data were collected by FAO through the Gallup World Poll. General information on the methodology can be found here: https://www.gallup.com/178667/gallup-world-poll-work.aspx. National institutions can also collect FIES data by including the FIES survey module in nationally representative surveys.

    Microdata can be used to calculate the indicator 2.1.2 at national level. Instructions for computing this indicator are described in the methodological document available in the downloads tab. Disaggregating results at sub-national level is not encouraged because estimates will suffer from substantial sampling and measurement error.

    Geographic coverage

    National

    Analysis unit

    Individuals

    Universe

    Individuals of 15 years or older with access to landline and/or mobile phones.

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    With some exceptions, all samples are probability based and nationally representative of the resident adult population. 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. For more details on the overall sampling and data collection methodology, see the World poll methodology attached as a resource in the downloads tab. Specific sampling details for each country are also attached as technical documents in the downloads tab. Exclusions: Transnistria (Prednestrovie) excluded for safety of interviewers. The excluded area represents approximately 13% of the population. Design effect: 1.97

    Mode of data collection

    Face-to-Face [f2f]

    Cleaning operations

    Statistical validation assesses the quality of the FIES data collected by testing their consistency with the assumptions of the Rasch model. This analysis involves the interpretation of several statistics that reveal 1) items that do not perform well in a given context, 2) cases with highly erratic response patterns, 3) pairs of items that may be redundant, and 4) the proportion of total variance in the population that is accounted for by the measurement model.

    Sampling error estimates

    The margin of error is estimated as 4.4. This is calculated around a proportion at the 95% confidence level. The maximum margin of error was calculated assuming a reported percentage of 50% and takes into account the design effect.

  15. d

    Replication Data for: The popularity of authoritarian leaders: A...

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Nov 22, 2023
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    GURIEV, SERGEI; TREISMAN, DANIEL (2023). Replication Data for: The popularity of authoritarian leaders: A cross-national investigation [Dataset]. http://doi.org/10.7910/DVN/8NGKDS
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    Dataset updated
    Nov 22, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    GURIEV, SERGEI; TREISMAN, DANIEL
    Description

    How do citizens in authoritarian states feel about their leaders? While some dictators rule through terror, others seem genuinely popular. Using the Gallup World Poll’s panel of more than 140 countries in 2006-16, we show that the drivers of political approval differ across types of regime. Although brutal repression in “overt dictatorships” could cause respondents to falsify their preferences, in milder “informational autocracies” greater repression actually predicts lower approval. In autocracies as in democracies, economic performance matters, and citizens’ economic perceptions, while not perfectly accurate, track objective indicators. Dictators also benefit from greater perceived public safety, although we find no such effect in democracies. Covert censorship of the media and Internet are associated with higher approval, but ratings fall when citizens recognize censorship. In informational autocracies, executive elections trigger a ratings surge if the leader changes, but—unlike in democracies—reelected autocrats enjoy little honeymoon.

  16. Food Insecurity Experience Scale 2022 - Jamaica

    • microdata.worldbank.org
    • catalog.ihsn.org
    • +1more
    Updated Sep 25, 2023
    + more versions
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    FAO Statistics Division (2023). Food Insecurity Experience Scale 2022 - Jamaica [Dataset]. https://microdata.worldbank.org/index.php/catalog/6039
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    Dataset updated
    Sep 25, 2023
    Dataset provided by
    Food and Agriculture Organizationhttp://fao.org/
    Authors
    FAO Statistics Division
    Time period covered
    2022
    Area covered
    Jamaica
    Description

    Abstract

    Sustainable Development Goal (SDG) target 2.1 commits countries to end hunger, ensure access by all people to safe, nutritious and sufficient food all year around. Indicator 2.1.2, “Prevalence of moderate or severe food insecurity based on the Food Insecurity Experience Scale (FIES)”, provides internationally-comparable estimates of the proportion of the population facing difficulties in accessing food. More detailed background information is available at http://www.fao.org/in-action/voices-of-the-hungry/fies/en/ .

    The FIES-based indicators are compiled using the FIES survey module, containing 8 questions. Two indicators can be computed:
    1. The proportion of the population experiencing moderate or severe food insecurity (SDG indicator 2.1.2), 2. The proportion of the population experiencing severe food insecurity.

    These data were collected by FAO through the Gallup World Poll. General information on the methodology can be found here: https://www.gallup.com/178667/gallup-world-poll-work.aspx. National institutions can also collect FIES data by including the FIES survey module in nationally representative surveys.

    Microdata can be used to calculate the indicator 2.1.2 at national level. Instructions for computing this indicator are described in the methodological document available in the documentations tab. Disaggregating results at sub-national level is not encouraged because estimates will suffer from substantial sampling and measurement error.

    Geographic coverage

    National

    Analysis unit

    Individuals

    Universe

    Individuals of 15 years or older with access to landline and/or mobile phones.

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    NA Exclusions: NA Design effect: 1.35

    Mode of data collection

    Face-to-Face [f2f]

    Cleaning operations

    Statistical validation assesses the quality of the FIES data collected by testing their consistency with the assumptions of the Rasch model. This analysis involves the interpretation of several statistics that reveal 1) items that do not perform well in a given context, 2) cases with highly erratic response patterns, 3) pairs of items that may be redundant, and 4) the proportion of total variance in the population that is accounted for by the measurement model.

    Sampling error estimates

    The margin of error is estimated as 5.1. This is calculated around a proportion at the 95% confidence level. The maximum margin of error was calculated assuming a reported percentage of 50% and takes into account the design effect.

    Data appraisal

    The variable WORRIED was not considered in the computation of the published FAO food insecurity indicator based on FIES due to the results of the validation process.

  17. Food Insecurity Experience Scale 2023 - Georgia

    • microdata.worldbank.org
    • catalog.ihsn.org
    Updated Oct 16, 2024
    + more versions
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    FAO Statistics Division (2024). Food Insecurity Experience Scale 2023 - Georgia [Dataset]. https://microdata.worldbank.org/index.php/catalog/6305
    Explore at:
    Dataset updated
    Oct 16, 2024
    Dataset provided by
    Food and Agriculture Organizationhttp://fao.org/
    Authors
    FAO Statistics Division
    Time period covered
    2023
    Area covered
    Georgia
    Description

    Abstract

    Sustainable Development Goal (SDG) target 2.1 commits countries to end hunger, ensure access by all people to safe, nutritious and sufficient food all year around. Indicator 2.1.2, “Prevalence of moderate or severe food insecurity based on the Food Insecurity Experience Scale (FIES)”, provides internationally-comparable estimates of the proportion of the population facing difficulties in accessing food. More detailed background information is available at http://www.fao.org/in-action/voices-of-the-hungry/fies/en/

    The FIES-based indicators are compiled using the FIES survey module, containing 8 questions. Two indicators can be computed:
    1. The proportion of the population experiencing moderate or severe food insecurity (SDG indicator 2.1.2), 2. The proportion of the population experiencing severe food insecurity.

    These data were collected by FAO through the Gallup World Poll. General information on the methodology can be found here: https://www.gallup.com/178667/gallup-world-poll-work.aspx. National institutions can also collect FIES data by including the FIES survey module in nationally representative surveys.

    Microdata can be used to calculate the indicator 2.1.2 at national level. Instructions for computing this indicator are described in the methodological document available in the downloads tab. Disaggregating results at sub-national level is not encouraged because estimates will suffer from substantial sampling and measurement error.

    Geographic coverage

    National

    Analysis unit

    Individuals

    Universe

    Individuals of 15 years or older with access to landline and/or mobile phones.

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    With some exceptions, all samples are probability based and nationally representative of the resident adult population. 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. For more details on the overall sampling and data collection methodology, see the World poll methodology attached as a resource in the downloads tab. Specific sampling details for each country are also attached as technical documents in the downloads tab. Exclusions: South Ossetia and Abkhazia were not included for the safety of the interviewers. In addition, very remote mountainous villages or with less than 100 inhabitants were also excluded. The excluded area represents approximately 8% of the population. Design effect: 1.51

    Mode of data collection

    Face-to-Face [f2f]

    Cleaning operations

    Statistical validation assesses the quality of the FIES data collected by testing their consistency with the assumptions of the Rasch model. This analysis involves the interpretation of several statistics that reveal 1) items that do not perform well in a given context, 2) cases with highly erratic response patterns, 3) pairs of items that may be redundant, and 4) the proportion of total variance in the population that is accounted for by the measurement model.

    Sampling error estimates

    The margin of error is estimated as 3.8. This is calculated around a proportion at the 95% confidence level. The maximum margin of error was calculated assuming a reported percentage of 50% and takes into account the design effect.

  18. Data from: Voice of the People Millennium Survey, 2000

    • icpsr.umich.edu
    ascii, delimited, sas +2
    Updated Aug 18, 2009
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    Gallup International, Inc. (2009). Voice of the People Millennium Survey, 2000 [Dataset]. http://doi.org/10.3886/ICPSR24661.v1
    Explore at:
    ascii, delimited, sas, spss, stataAvailable download formats
    Dataset updated
    Aug 18, 2009
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    Gallup International, Inc.
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/24661/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/24661/terms

    Time period covered
    2000
    Area covered
    Paraguay, Finland, Netherlands, Malaysia, Cameroon, Denmark, Switzerland, Pakistan, France, Taiwan
    Description

    This annual survey, fielded August to October 1999, was conducted in over 50 countries to solicit public opinion on social and political issues. Respondents were asked to give their opinion on the environment. Questions included the overall state that the environment is in, if the government has done too much, too little, or just the right amount concerning the environment, and the biggest threat to the environment for future generations. They were also queried on whether they thought their countries elections were free and fair, and what words best describe their perception of the government. Questions concerning religion were also asked. These focused on whether there is only one true religion, many true religions, or no essential truth in any religion, how important God is in their life, and praying and meditation. Respondents were asked to give their opinion on women's rights. Questions included whether they thought women have equal rights in their country, whether they thought education is more important for boys or girls, whether women need to have children in order to feel fulfilled, and whether women in advanced countries must insist more for the rights of women in the developing world. They were also asked to give their opinion on the issue of crime. They were asked how concerned they were about the level of crime in their country, if crime had increased or decreased in the last five years, how well the government was handling crime, and if they were for or against the death penalty. They were also asked what they thought matters most in life, and what they thought about the United Nations. Questions pertaining to human rights were also asked, such as whether discrimination based on sex, color, language, religion, or political opinion was taking place in their country. They were also asked if they thought that the use of torture was being documented, how effective stricter international laws would be in reducing torture, how effective more prosecutions of those suspected of torture would be in eliminating it, how effective greater public awareness of the incidence of torture would be in helping eliminate it, and how effective a grassroots campaign to eliminate torture would be. Respondents were also queried on the year 2000 computer problem. Demographics include sex, age, education, occupation, marital status, children under 15 living in household, religious denomination, religiosity, and region.

  19. Food Insecurity Experience Scale 2023 - Lebanon

    • microdata.worldbank.org
    • catalog.ihsn.org
    Updated Oct 18, 2024
    + more versions
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    FAO Statistics Division (2024). Food Insecurity Experience Scale 2023 - Lebanon [Dataset]. https://microdata.worldbank.org/index.php/catalog/6316
    Explore at:
    Dataset updated
    Oct 18, 2024
    Dataset provided by
    Food and Agriculture Organizationhttp://fao.org/
    Authors
    FAO Statistics Division
    Time period covered
    2023
    Area covered
    Lebanon
    Description

    Abstract

    Sustainable Development Goal (SDG) target 2.1 commits countries to end hunger, ensure access by all people to safe, nutritious and sufficient food all year around. Indicator 2.1.2, “Prevalence of moderate or severe food insecurity based on the Food Insecurity Experience Scale (FIES)”, provides internationally-comparable estimates of the proportion of the population facing difficulties in accessing food. More detailed background information is available at http://www.fao.org/in-action/voices-of-the-hungry/fies/en/

    The FIES-based indicators are compiled using the FIES survey module, containing 8 questions. Two indicators can be computed:
    1. The proportion of the population experiencing moderate or severe food insecurity (SDG indicator 2.1.2), 2. The proportion of the population experiencing severe food insecurity.

    These data were collected by FAO through the Gallup World Poll. General information on the methodology can be found here: https://www.gallup.com/178667/gallup-world-poll-work.aspx. National institutions can also collect FIES data by including the FIES survey module in nationally representative surveys.

    Microdata can be used to calculate the indicator 2.1.2 at national level. Instructions for computing this indicator are described in the methodological document available in the downloads tab. Disaggregating results at sub-national level is not encouraged because estimates will suffer from substantial sampling and measurement error.

    Geographic coverage

    National

    Analysis unit

    Individuals

    Universe

    Individuals of 15 years or older with access to landline and/or mobile phones.

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    With some exceptions, all samples are probability based and nationally representative of the resident adult population. 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. For more details on the overall sampling and data collection methodology, see the World poll methodology attached as a resource in the downloads tab. Specific sampling details for each country are also attached as technical documents in the downloads tab. Exclusions: Hermel, Baalbak, and Bint Jbeil under the strict control of Hezbollah were excluded. The excluded areas represent approximately 10% of the population. Design effect: 1.22

    Mode of data collection

    Face-to-Face [f2f]

    Cleaning operations

    Statistical validation assesses the quality of the FIES data collected by testing their consistency with the assumptions of the Rasch model. This analysis involves the interpretation of several statistics that reveal 1) items that do not perform well in a given context, 2) cases with highly erratic response patterns, 3) pairs of items that may be redundant, and 4) the proportion of total variance in the population that is accounted for by the measurement model.

    Sampling error estimates

    The margin of error is estimated as 3.4. This is calculated around a proportion at the 95% confidence level. The maximum margin of error was calculated assuming a reported percentage of 50% and takes into account the design effect.

  20. World Happiness Report (2005-2024)

    • kaggle.com
    zip
    Updated Mar 25, 2025
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    Claudio Daloiso (2025). World Happiness Report (2005-2024) [Dataset]. https://www.kaggle.com/datasets/claudiodaloiso/world-happiness-report-2005-2024
    Explore at:
    zip(41262 bytes)Available download formats
    Dataset updated
    Mar 25, 2025
    Authors
    Claudio Daloiso
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Area covered
    World
    Description

    The World Happiness Report is the world’s foremost publication on global wellbeing and how to improve it.

    We combine wellbeing data from over 140 countries with high-quality analysis by world-leading researchers from a wide range of academic disciplines.

    By making the essential insights from wellbeing science accessible to all, we give everyone the knowledge to create more happiness for themselves and others.

    The annual report is published by the University of Oxford’s Wellbeing Research Centre in partnership with Gallup, the UN Sustainable Development Solutions Network, and our Editorial Board.

    Our global happiness ranking is based on a single question from the Gallup World Poll, derived from the Cantril Self-Anchoring Striving Scale (Cantril Ladder):

    Please imagine a ladder with steps numbered from 0 at the bottom to 10 at the top. The top of the ladder represents the best possible life for you and the bottom of the ladder represents the worst possible life for you. On which step of the ladder would you say you personally feel you stand at this time?

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Stanford University Libraries (2025). Gallup World Poll [Dataset]. http://doi.org/10.57761/pb8f-d084
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Gallup World Poll

Explore at:
avro, stata, parquet, csv, spss, sas, arrow, application/jsonlAvailable download formats
Dataset updated
Oct 28, 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 September 2025.

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