El Salvador vs North Macedonia: Multidimensional poverty headcount ratio (World Bank)
El Salvador
6.2%
in 2023
North Macedonia
4.3%
in 2019
El Salvador rank
7th
North Macedonia rank
10th
Multidimensional poverty headcount ratio (World Bank) over time
- El Salvador
- North Macedonia
How they compare
El Salvador currently reports 6.2% against 4.3% in North Macedonia, a difference of 1.9%.
That makes El Salvador's figure about 1.4 times North Macedonia's.
Across all 10 years both countries report, El Salvador has been ahead every year.
El Salvador ranks 7th and North Macedonia ranks 10th of 68 countries.
El Salvador has averaged higher in every one of the 1 decades both report.
Frequently asked questions
- Which has higher multidimensional poverty headcount ratio (world bank), El Salvador or North Macedonia?
- El Salvador, at 6.2% against 4.3% in North Macedonia as of 2023.
- What is the difference in multidimensional poverty headcount ratio (world bank) between El Salvador and North Macedonia?
- 1.9%, with El Salvador ahead.
- How many years of comparable data are there for El Salvador and North Macedonia?
- 10 years are reported by both, from 2010 to 2019.
- How do El Salvador and North Macedonia rank globally for multidimensional poverty headcount ratio (world bank)?
- El Salvador ranks 7th and North Macedonia ranks 10th of 68 countries.
- Where does this data come from?
- World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income econ, published as Multidimensional poverty headcount ratio (World Bank) (% of population). Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
The multidimensional poverty headcount ratio (World Bank) is the percentage of a population living in poverty according to the World Bank's Multidimensional Poverty Measure. The Multidimensional Poverty Measure includes three dimensions – monetary poverty, education, and basic infrastructure services – to capture a more complete picture of poverty.