sources

This table contains all the sources for our datasets. The description column contains JSON encoded as text that contains useful additional fields like a longer descriptive text "additionalInfo".

Data license: CC-BY

2 rows where datasetId = 6008 sorted by id descending

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id ▲ name description createdAt updatedAt datasetId additionalInfo link dataPublishedBy
29570 Global Wellbeing Initiative (2020) 
{
    "link": "https://www.gallup.com/analytics/468179/global-wellbeing-initiative-dataset.aspx",
    "retrievedDate": "2023-05-04",
    "additionalInfo": "\nGallup and the Wellbeing for Planet Earth Foundation joined forces in 2019 for a groundbreaking partnership known as the Global Wellbeing Initiative (GWI, https://www.globalwellbeinginitiative.org/) to develop a more nuanced and globally inclusive measurement and understanding of wellbeing.\n\nThe GWI has worked to develop new items for the World Poll that will lay the foundation for future research projects and transform our perception of wellbeing.\n\n\nSURVEY METHODS:\n\nThe survey involved more than 122,000 people in 116 countries in 2020 and was run as part of the Gallup World Poll. Typically, 1,000 individuals were surveyed in each country. In China, India and Russia, the sample sizes were 2,000 or greater. In rare instances, the sample size fell between 500 and 1,000.\n\nThe dataset includes the following variables:\n\n\u2022 Responses to the Global Wellbeing Initiative questionnaire\n\u2022 Gender and age\n\u2022 Educational level, employment status and per capita income quintiles\n\u2022 Country income level (World Bank)\n\u2022 Urban/Rural location\n",
    "dataPublishedBy": "Gallup World Poll, Global Wellbeing Initiative dataset, 2020"
}
 2023-12-14 12:04:30 2024-07-31 13:09:28 Global Wellbeing Initiative (Gallup, 2020) 6008 Gallup and the Wellbeing for Planet Earth Foundation joined forces in 2019 for a groundbreaking partnership known as the Global Wellbeing Initiative (GWI, https://www.globalwellbeinginitiative.org/) to develop a more nuanced and globally inclusive measurement and understanding of wellbeing. The GWI has worked to develop new items for the World Poll that will lay the foundation for future research projects and transform our perception of wellbeing. SURVEY METHODS: The survey involved more than 122,000 people in 116 countries in 2020 and was run as part of the Gallup World Poll. Typically, 1,000 individuals were surveyed in each country. In China, India and Russia, the sample sizes were 2,000 or greater. In rare instances, the sample size fell between 500 and 1,000. The dataset includes the following variables: • Responses to the Global Wellbeing Initiative questionnaire • Gender and age • Educational level, employment status and per capita income quintiles • Country income level (World Bank) • Urban/Rural location https://www.gallup.com/analytics/468179/global-wellbeing-initiative-dataset.aspx Gallup World Poll, Global Wellbeing Initiative dataset, 2020
27605 Global Wellbeing Initiative (2020) 
{
    "link": "https://www.gallup.com/analytics/468179/global-wellbeing-initiative-dataset.aspx",
    "retrievedDate": "2023-05-04",
    "additionalInfo": "Gallup and the Wellbeing for Planet Earth Foundation joined forces in 2019 for a groundbreaking partnership known as the Global Wellbeing Initiative (GWI, https://www.globalwellbeinginitiative.org/) to develop a more nuanced and globally inclusive measurement and understanding of wellbeing.\n\nThe GWI has worked to develop new items for the World Poll that will lay the foundation for future research projects and transform our perception of wellbeing.\n\n\nSURVEY METHODS:\n\nThe survey involved more than 122,000 people in 116 countries in 2020 and was run as part of the Gallup World Poll. Typically, 1,000 individuals were surveyed in each country. In China, India and Russia, the sample sizes were 2,000 or greater. In rare instances, the sample size fell between 500 and 1,000.\n\nThe dataset includes the following variables:\n\n\u2022 Responses to the Global Wellbeing Initiative questionnaire\n\u2022 Gender and age\n\u2022 Educational level, employment status and per capita income quintiles\n\u2022 Country income level (World Bank)\n\u2022 Urban/Rural location\n",
    "dataPublishedBy": "Gallup World Poll, Global Wellbeing Initiative dataset, 2020"
}
 2023-05-15 10:31:06 2024-07-31 13:08:05 Global Wellbeing Initiative (Gallup, 2020) 6008 Gallup and the Wellbeing for Planet Earth Foundation joined forces in 2019 for a groundbreaking partnership known as the Global Wellbeing Initiative (GWI, https://www.globalwellbeinginitiative.org/) to develop a more nuanced and globally inclusive measurement and understanding of wellbeing. The GWI has worked to develop new items for the World Poll that will lay the foundation for future research projects and transform our perception of wellbeing. SURVEY METHODS: The survey involved more than 122,000 people in 116 countries in 2020 and was run as part of the Gallup World Poll. Typically, 1,000 individuals were surveyed in each country. In China, India and Russia, the sample sizes were 2,000 or greater. In rare instances, the sample size fell between 500 and 1,000. The dataset includes the following variables: • Responses to the Global Wellbeing Initiative questionnaire • Gender and age • Educational level, employment status and per capita income quintiles • Country income level (World Bank) • Urban/Rural location https://www.gallup.com/analytics/468179/global-wellbeing-initiative-dataset.aspx Gallup World Poll, Global Wellbeing Initiative dataset, 2020

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CREATE TABLE "sources" (
	"id" INTEGER PRIMARY KEY AUTOINCREMENT,
	"name" VARCHAR(512) NULL  ,
	"description" TEXT NOT NULL  ,
	"createdAt" DATETIME NOT NULL DEFAULT CURRENT_TIMESTAMP ,
	"updatedAt" DATETIME NULL  ,
	"datasetId" INTEGER NULL, additionalInfo TEXT GENERATED ALWAYS as (JSON_EXTRACT(description, '$.additionalInfo')) VIRTUAL, link TEXT GENERATED ALWAYS as (JSON_EXTRACT(description, '$.link')) VIRTUAL, dataPublishedBy TEXT GENERATED ALWAYS as (JSON_EXTRACT(description, '$.dataPublishedBy')) VIRTUAL,
	FOREIGN KEY("datasetId") REFERENCES "datasets" ("id") ON UPDATE RESTRICT ON DELETE RESTRICT
);
CREATE INDEX "sources_datasetId" ON "sources" ("datasetId");