Updated
October 12, 2020
| Dataset date: Jun 19, 2019
This dataset updates: As needed
The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Bangladesh : (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).
Updated
October 7, 2020
| Dataset date: Jun 19, 2019
This dataset updates: As needed
The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Laos: (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).
Updated
October 7, 2020
| Dataset date: Jun 19, 2019
This dataset updates: As needed
The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Thailand: (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).
Updated
April 29, 2020
| Dataset date: Jun 10, 2019
This dataset updates: As needed
The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Costa Rica: (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).
Updated
April 17, 2020
| Dataset date: Sep 19, 2019
This dataset updates: As needed
These high-resolution maps estimate not only the number of people living within 30-meter grid tiles, but also provide insights on demographics at unprecedentedly high resolutions. These maps aren’t built using Facebook data and instead rely on combining the power of machine vision AI with satellite imagery and census information.
Updated
April 16, 2020
| Dataset date: Jun 19, 2019
This dataset updates: As needed
The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in American Samoa: (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).
Updated
April 14, 2020
| Dataset date: Jan 1, 2000-Dec 31, 2018
This dataset updates: Every year
Per cent of young people (aged 15-24 years) who had sex with a non-marital, non-cohabitating partner in the past 12 months reporting the use of a condom during their last sexual intercourse
Updated
April 14, 2020
| Dataset date: Jan 1, 2000-Dec 31, 2018
This dataset updates: Every year
Per cent of young people (aged 15-24 years) who had more than one sexual partner in the past 12 months reporting the use of a condom during their last sexual intercourse
Updated
April 14, 2020
| Dataset date: Jan 1, 2000-Dec 31, 2018
This dataset updates: Every year
Per cent of young women and men 15-24 years old who correctly identify both ways of preventing the sexual transmission of HIV, know that a healthy-looking person can be HIV-positive and reject two most common misconceptions about HIV transmission
Updated
April 14, 2020
| Dataset date: Jan 1, 1970-Dec 31, 2018
This dataset updates: Every year
Number of people age 15 to 24 years who can both read and write with understanding a short simple statement on their everyday life, divided by the population in that age group
Updated
April 14, 2020
| Dataset date: Jan 1, 2010-Dec 31, 2019
This dataset updates: Every year
Number of children of upper secondary school age who are not enrolled in primary or secondary school or higher education, expressed as a percentage of the population of official upper secondary school age
Updated
April 14, 2020
| Dataset date: Jan 1, 2010-Dec 31, 2019
This dataset updates: Every year
Number of children of lower secondary school age who are not enrolled in primary or secondary school, expressed as a percentage of the population of official lower secondary school age
Updated
April 14, 2020
| Dataset date: Jan 1, 2010-Dec 31, 2019
This dataset updates: Every year
Number of children of official primary school age who are not enrolled in primary or secondary school, expressed as a percentage of the population of official primary school age
Updated
April 14, 2020
| Dataset date: Jan 1, 2010-Dec 31, 2019
This dataset updates: Every year
Percentage of a cohort of children or young people aged 3-5 years above the intended age for the last grade of upper secondary education who have completed upper secondary education
Updated
April 14, 2020
| Dataset date: Jan 1, 2010-Dec 31, 2019
This dataset updates: Every year
Percentage of students of the official primary school age group who attended primary or secondary education at any time during the reference academic year
Updated
April 4, 2020
| Dataset date: May 20, 2019
This dataset updates: As needed
The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Nigeria: (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).
There is also a tiled version of this dataset that may be easier to use if you are interested in many countries.
Updated
March 28, 2020
| Dataset date: May 20, 2019
This dataset updates: As needed
The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in South Africa: (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).
Updated
March 28, 2020
| Dataset date: May 20, 2019
This dataset updates: As needed
The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Togo: (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).
Updated
March 28, 2020
| Dataset date: Oct 1, 2018
This dataset updates: As needed
The population of the world, allocated to 1 arcsecond blocks. This refines CIESIN’s Gridded Population of the World project, using machine learning models on high-resolution worldwide Digital Globe satellite imagery. More information.
There is also a tiled version of this dataset that may be easier to use if you are interested in many countries.
