WorldPop Global Project Population Data: Estimated Age and Sex Structures of Residential Population per 100x100m Grid Square

Dataset Availability

2020-01-01T00:00:00Z–2021-01-01T00:00:00Z

Dataset Provider

WorldPop

Earth Engine Snippet

ee.ImageCollection("WorldPop/GP/100m/pop_age_sex")

Tags

demography population worldpop

Description

Global high-resolution, contemporary data on human population distributions are a prerequisite for the accurate measurement of the impacts of population growth, for monitoring changes, and for planning interventions. The WorldPop project aims to meet these needs through the provision of detailed and open access population distribution datasets built using transparent and peer-reviewed approaches.

Full details on the methods and datasets used in constructing the data, along with open access publications, are provided on the WorldPop website. In brief, recent census-based population counts matched to their associated administrative units are disaggregated to ~100x100m grid cells through machine learning approaches that exploit the relationships between population densities and a range of geospatial covariate layers. The mapping approach is Random Forest-based dasymetric redistribution.

This dataset contains breakdown of estimated population by age and gender groups. Currently only 2020 data are present.

See explanation of constrained vs unconstrained datasets.

Further WorldPop gridded datasets on population age structures, poverty, urban growth, and population dynamics are freely available on the WorldPop website. WorldPop represents a collaboration between researchers at the University of Southampton, Universite Libre de Bruxelles, and University of Louisville. The project is principally funded by the Bill and Melinda Gates Foundation.

Bands

Resolution
92.77 meters

Bands

Name	Min	Max	Description
population	0*	21171*	Estimated number of people residing in each grid cell
M_0			Estimated number of men between 0 and 1 years old residing in each grid cell
M_1			Estimated number of men between 1 and 4 years old residing in each grid cell
M_5			Estimated number of men between 5 and 9 years old residing in each grid cell
M_10			Estimated number of men between 10 and 14 years old residing in each grid cell
M_15			Estimated number of men between 15 and 19 years old residing in each grid cell
M_20			Estimated number of men between 20 and 24 years old residing in each grid cell
M_25			Estimated number of men between 25 and 29 years old residing in each grid cell
M_30			Estimated number of men between 30 and 34 years old residing in each grid cell
M_35			Estimated number of men between 35 and 39 years old residing in each grid cell
M_40			Estimated number of men between 40 and 44 years old residing in each grid cell
M_45			Estimated number of men between 45 and 49 years old residing in each grid cell
M_50			Estimated number of men between 50 and 54 years old residing in each grid cell
M_55			Estimated number of men between 55 and 59 years old residing in each grid cell
M_60			Estimated number of men between 60 and 64 years old residing in each grid cell
M_65			Estimated number of men between 65 and 69 years old residing in each grid cell
M_70			Estimated number of men between 70 and 74 years old residing in each grid cell
M_75			Estimated number of men between 75 and 79 years old residing in each grid cell
M_80			Estimated number of men 80 years old or above residing in each grid cell
F_0			Estimated number of women between 0 and 1 years old residing in each grid cell
F_1			Estimated number of women between 1 and 4 years old residing in each grid cell
F_5			Estimated number of women between 5 and 9 years old residing in each grid cell
F_10			Estimated number of women between 10 and 14 years old residing in each grid cell
F_15			Estimated number of women between 15 and 19 years old residing in each grid cell
F_20			Estimated number of women between 20 and 24 years old residing in each grid cell
F_25			Estimated number of women between 25 and 29 years old residing in each grid cell
F_30			Estimated number of women between 30 and 34 years old residing in each grid cell
F_35			Estimated number of women between 35 and 39 years old residing in each grid cell
F_40			Estimated number of women between 40 and 44 years old residing in each grid cell
F_45			Estimated number of women between 45 and 49 years old residing in each grid cell
F_50			Estimated number of women between 50 and 54 years old residing in each grid cell
F_55			Estimated number of women between 55 and 59 years old residing in each grid cell
F_60			Estimated number of women between 60 and 64 years old residing in each grid cell
F_65			Estimated number of women between 65 and 69 years old residing in each grid cell
F_70			Estimated number of women between 70 and 74 years old residing in each grid cell
F_75			Estimated number of women between 75 and 79 years old residing in each grid cell
F_80			Estimated number of women 80 years old or above residing in each grid cell

* estimated min or max value

Image Properties

Image Properties

Name	Type	Description
country	STRING	Country
year	DOUBLE	Year

Terms of Use

Terms of Use

WorldPop datasets are licensed under the Creative Commons Attribution 4.0 International License. Users are free to use, copy, distribute, transmit, and adapt the work for commercial and non-commercial purposes, without restriction, as long as clear attribution of the source is provided.

Citations

Citations:

• Please cite the WorldPop website as the source: www.worldpop.org.

• Americas population data: Alessandro Sorichetta, Graeme M. Hornby, Forrest R. Stevens, Andrea E. Gaughan, Catherine Linard, Andrew J. Tatem, 2015, High-resolution gridded population datasets for Latin America and the Caribbean in 2010, 2015, and 2020, Scientific Data, doi:10.1038/sdata.2015.45

• Africa population count data: Linard, C., Gilbert, M., Snow, R.W., Noor, A.M. and Tatem, A.J., 2012, Population distribution, settlement patterns and accessibility across Africa in 2010, PLoS ONE, 7(2): e31743.

• Asia population count data: Gaughan AE, Stevens FR, Linard C, Jia P and Tatem AJ, 2013, High resolution population distribution maps for Southeast Asia in 2010 and 2015, PLoS ONE, 8(2): e55882.

DOIs

• https://doi.org/10.1038/sdata.2015.45

Explore with Earth Engine

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Code Editor (JavaScript)

var dataset = ee.ImageCollection('WorldPop/GP/100m/pop_age_sex');

var visualization = {
  bands: ['population'],
  min: 0.0,
  max: 50.0,
  palette: ['24126c', '1fff4f', 'd4ff50']
};

Map.setCenter(113.643, 34.769, 7);

Map.addLayer(dataset, visualization, 'Population');

Open in Code Editor

WorldPop Global Project Population Data: Estimated Age and Sex Structures of Residential Population per 100x100m Grid Square

Global high-resolution, contemporary data on human population distributions are a prerequisite for the accurate measurement of the impacts of population growth, for monitoring changes, and for planning interventions. The WorldPop project aims to meet these needs through the provision of detailed and open access population distribution datasets built using transparent …

WorldPop/GP/100m/pop_age_sex, demography,population,worldpop

2020-01-01T00:00:00Z/2021-01-01T00:00:00Z

Google Earth Engine

https://developers.google.com/earth-engine/datasets

• https://doi.org/10.1038/sdata.2015.45