Area Database (v4.2.1)

GDL Area Profile Report

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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 Continent rank LMIC decile Year
Mean years education population aged 20+ 11.0 - 34 / 41 ( 9 ) 2012
Mean years education of women aged 20+ 10.6 - 30 / 41 ( 9 ) 2012
Mean years education of men aged 20+ 11.5 - 37 / 41 ( 10 ) 2012
Position of women Value Trend Continent rank LMIC decile Year
Mean age difference partners (husband-wife) 5.09 - 30 / 38 ( 6 ) 2012
Mean age at first marriage of women aged 20-50 23.1 - 34 / 35 ( 10 ) 2012
Mean age at first birth of women aged 20-50 29.6 - 35 / 35 ( 11 ) 2012
Percentage of women in 50+ population 41.9 - 1 / 1 ( 1 ) 2012
Patrilocality Index (positive values patrilocal) 2.00 - 24 / 36 ( 8 ) 2012
Population Value Trend Continent rank LMIC decile Year
Total area population in millions 2.20 - 10 / 41 ( 3 ) 2012
Share of national population living in area 100 - 1 / 1 ( 11 ) 2012
Average household size 4.67 - 13 / 38 ( 5 ) 2012
Demographic window phase 2 - 2012
Dependency ratio 49.6 - 6 / 40 ( 2 ) 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).

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