Others titles
- Population Estimates Program
- Population by Age
Keywords
- Population Estimates
- Population Estimates by Country
- Population by Gender
Population Estimates 1970-2019
This dataset contains information of GBD (Global Burden of Disease) 2019 population estimates from 1970 to 2019.
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Description
The Global Burden of Disease Study 2019 (GBD 2019), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors at the global, regional, national, territorial, and, for a subset of countries, subnational level. This dataset provides population estimates for 21 GBD regions, 195 countries and territories, and 4 United Kingdom subnational units by age and sex for 1970-2017. Data sources used to produce these estimates include World Population Prospects: 2019 Revision, from the United Nations Population Division, and the WHO Human Mortality Database.
About this Dataset
Data Info
Date Created | 1970-01 |
---|---|
Last Modified | 2022-03-12 |
Version | 2022-03-12 |
Update Frequency |
Irregular |
Temporal Coverage |
1970-01 to 2019-12 |
Spatial Coverage |
World |
Source | John Snow Labs; Global Heath Data Exchange, Institute for Health Metrics and Evaluation (IHME); |
Source License URL | |
Source License Requirements |
N/A |
Source Citation |
N/A |
Keywords | Population Estimates, Population Estimates by Country, Population by Gender |
Other Titles | Population Estimates Program, Population by Age |
Data Fields
Name | Description | Type | Constraints |
---|---|---|---|
Location_Id | Location Unique Identification Code for Populatation | integer | level : Nominal |
Location_Name | Estimated Population location name | string | - |
Gender_Type | Gender description (Male, Female, Both) | string | - |
Age_Group_Id | Estimated population age group identification code | integer | level : Nominal |
Age_Group_Name | Group Name for Age | string | - |
Year | Year of Estimated population | date | - |
Value | The population value that is used in the comprehensive assessment of all-cause and cause-specific mortality from global countries and territories from 1980 to 2019. | number | level : Ratio |
Data Preview
Location Id | Location Name | Gender Type | Age Group Id | Age Group Name | Year | Value |
1 | Global | male | 1 | Under 5 | 1991 | 329896665.0 |
1 | Global | female | 1 | Under 5 | 1991 | 311388449.6 |
1 | Global | both | 1 | Under 5 | 1991 | 641285111.0 |
1 | Global | male | 1 | Under 5 | 1992 | 330271636.5 |
1 | Global | female | 1 | Under 5 | 1992 | 311233834.0 |
1 | Global | both | 1 | Under 5 | 1992 | 641505470.5 |
1 | Global | male | 1 | Under 5 | 1993 | 329452850.5 |
1 | Global | female | 1 | Under 5 | 1993 | 309991841.1 |
1 | Global | both | 1 | Under 5 | 1993 | 639444679.8 |
1 | Global | male | 1 | Under 5 | 1994 | 327720030.6 |