Global Data Lab

GDL Area Profiles

Create and download Area Profile Reports for 1300+ subnational regions

133 indicators, 129 countries, 1492 sub-national regions
37.8 million persons, 8.5 million households
Follow @globaldatalab on Twitter

GDL Area Profile Report

Download as PDF

This GDL Area Profile Report provides an overview of the major social and economic characteristics of the region or country. The figures are derived from the most recent national household survey available at the Global Data Lab. These and many other indicators can also be downloaded freely from the GDL Area Database. Further information on the indicators is available at the bottom of this report and at the GDL website.

Education Value Trend National rank LMIC decile Year
Mean years education population aged 20+ 11.3 - 6 / 7 ( 10 ) 2012
Mean years education of women aged 20+ 11.1 - 5 / 7 ( 10 ) 2012
Mean years education of men aged 20+ 11.5 - 4 / 7 ( 10 ) 2012
Population Value Trend National rank LMIC decile Year
Total area population in millions 0.03 - 2 / 7 ( 1 ) 2012
Share of national population living in area 1.41 - 2 / 7 ( 1 ) 2012
Average household size 5.25 - 2 / 7 ( 4 ) 2012
Demographic window phase 2 - 2012
Dependency ratio 66.4 - 7 / 7 ( 5 ) 2012
Quality of housing Value Trend National rank LMIC decile Year
Percentage households with a natural floor (earth, sand, dung etc.) 0.00 - 1 / 1 ( 1 ) 2012

Meaning of the menu items: Value: Indicator value in GDL Area Database. Trend: Average yearly change in indicator value since preceding survey. National rank: Within-country rank on indicator (1 is highest value within country). Continent rank: Within continent rank on indicator (continents are America, Africa, Asia/Pacific and (Eastern) Europe). LMIC decile: Decile position on indicator among 1300+ regions within 125+ low and middle income countries.

The indicators presented in this GDL Profile Report are created by aggregating to the sub-national and national level from representative household surveys. Detailed information on the data and methods used is available here and in Smits (2016).

© 2020 Global Data Lab, all rights reserved. www.globaldatalab.org