GPWv411: Basic Demographic Characteristics (Gridded Population of the World Version 4.11)

CIESIN/GPWv411/GPW_Basic_Demographic_Characteristics
Dataset Availability
2000-01-01T00:00:00Z–2020-01-01T00:00:00Z
Dataset Provider
Earth Engine Snippet
ee.ImageCollection("CIESIN/GPWv411/GPW_Basic_Demographic_Characteristics")

Description

This dataset contains population estimates, by age and sex, per 30 arc-second grid cell consistent with national censuses and population registers. There is one image for each modeled age and sex category based on the 2010 round of Census.

General Documentation

The Gridded Population of World Version 4 (GPWv4), Revision 11 models the distribution of global human population for the years 2000, 2005, 2010, 2015, and 2020 on 30 arc-second (approximately 1km) grid cells. Population is distributed to cells using proportional allocation of population from census and administrative units. Population input data are collected at the most detailed spatial resolution available from the results of the 2010 round of censuses, which occurred between 2005 and 2014. The input data are extrapolated to produce population estimates for each modeled year.

Bands

Resolution
927.67 meters

Bands

Name Min Max Description
basic_demographic_characteristics 0* 140852*

The estimated number of persons, by age and sex, per 30 arc-second grid cell.

* estimated min or max value

Image Properties

Image Properties

Name Type Description
Sex STRING

The sex of a population subgroup.

Age_Group STRING

The age range of a population subgroup.

Terms of Use

Terms of Use

CC-BY-4.0

Citations

Citations:
  • Center for International Earth Science Information Network - CIESIN - Columbia University. 2018. Gridded Population of the World, Version 4 (GPWv4): Basic Characteristics, Revision 11. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). doi:10.7927/H46M34XX. Accessed DAY MONTH YEAR.

DOIs

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Code Editor (JavaScript)

var dataset = ee.ImageCollection('CIESIN/GPWv411/GPW_Basic_Demographic_Characteristics').first();
var raster = dataset.select('basic_demographic_characteristics');
var raster_vis = {
  'max': 1000.0,
  'palette': [
    'ffffe7',
    '86a192',
    '509791',
    '307296',
    '2c4484',
    '000066'
  ],
  'min': 0.0
};
Map.setCenter(79.1, 19.81, 3);
Map.addLayer(raster, raster_vis, 'basic_demographic_characteristics');
Open in Code Editor