sources
Data license: CC-BY
1 row where datasetId = 2710 sorted by id descending
This data as json, CSV (advanced)
Suggested facets: createdAt (date), updatedAt (date)
id ▲ | name | description | createdAt | updatedAt | datasetId | additionalInfo | link | dataPublishedBy |
---|---|---|---|---|---|---|---|---|
15443 | Child Mortality Rates (Selected Gapminder, v10) (2017) | { "link": "https://www.gapminder.org/data/documentation/gd005/", "retrievedDate": "06/06/2019", "additionalInfo": "Dataset comes from Gapminder - Child mortality (version 10), the latest version as of 2019.\n\nGapminder's sources and methodology is well-documented in its dataset at: https://www.gapminder.org/data/documentation/gd005/\n\nIt notes its data sources during three key periods of time:\n\n\u2014 1800 to 1950: Gapminder v7 ( In some cases this is also used for years after 1950, see below.) This was compiled and documented by Mattias Lindgren from many sources, but mainly based on www.mortality.org and the series of books called International Historical Statistics by Brian R Mitchell, which often have historic estimates of Infant mortality rate which were converted to Child mortality through regression.\n\n\u2014 1950 to 2016: UNIGME, is a data collaboration project between UNICEF, WHO, UN Population Division and the World Bank. They released new estimates of child mortality for countries and a global estimate on October 17, 2017, which is available at www.childmortality.org. In this dataset almost all countries have estimates between 1970 and 2016, while roughly half the countries also reach back to 1950.\n\n\u2014 1950 to 2100: UN WPP, World Population Prospects 2017 provides annual data for Child mortality rate for all countries in the interpolated demographic indicators, called WPP2017_INT_F01_ANNUAL_DEMOGRAPHIC_INDICATORS.xlsx, accessed on September 2, 2017.\n\nThere are significant uncertainties in data for many countries pre-1950. To develop full series back to 1800 for all countries, Gapminder combines published estimates within the academic literature and national statistics, with their own guesstimates and extrapolations for countries without published estimates. This series presents the selective Gapminder dataset: we have removed data points which were estimated by Gapminder with high uncertainty and instead only include those from published sources or the United Nations dataset. \n\nWe also publish the full dataset from Gapminder for users looking for a complete series. However, we should highlight that some of these estimates have a high degree of uncertainty. This dataset can be accessed here: https://ourworldindata.org/grapher/child-mortality-complete", "dataPublishedBy": "Gapminder" } |
2018-03-28 17:15:51 | 2018-03-28 17:15:51 | Child Mortality Rates (Selected Gapminder, v10) (2017) 2710 | Dataset comes from Gapminder - Child mortality (version 10), the latest version as of 2019. Gapminder's sources and methodology is well-documented in its dataset at: https://www.gapminder.org/data/documentation/gd005/ It notes its data sources during three key periods of time: — 1800 to 1950: Gapminder v7 ( In some cases this is also used for years after 1950, see below.) This was compiled and documented by Mattias Lindgren from many sources, but mainly based on www.mortality.org and the series of books called International Historical Statistics by Brian R Mitchell, which often have historic estimates of Infant mortality rate which were converted to Child mortality through regression. — 1950 to 2016: UNIGME, is a data collaboration project between UNICEF, WHO, UN Population Division and the World Bank. They released new estimates of child mortality for countries and a global estimate on October 17, 2017, which is available at www.childmortality.org. In this dataset almost all countries have estimates between 1970 and 2016, while roughly half the countries also reach back to 1950. — 1950 to 2100: UN WPP, World Population Prospects 2017 provides annual data for Child mortality rate for all countries in the interpolated demographic indicators, called WPP2017_INT_F01_ANNUAL_DEMOGRAPHIC_INDICATORS.xlsx, accessed on September 2, 2017. There are significant uncertainties in data for many countries pre-1950. To develop full series back to 1800 for all countries, Gapminder combines published estimates within the academic literature and national statistics, with their own guesstimates and extrapolations for countries without published estimates. This series presents the selective Gapminder dataset: we have removed data points which were estimated by Gapminder with high uncertainty and instead only include those from published sources or the United Nations dataset. We also publish the full dataset from Gapminder for users looking for a complete series. However, we should highlight that some of these estimates hav… | https://www.gapminder.org/data/documentation/gd005/ | Gapminder |
Advanced export
JSON shape: default, array, newline-delimited, object
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");