Colombia vs Peru: Multidimensional poverty headcount ratio (World Bank)
Multidimensional poverty headcount ratio (World Bank) over time
- Colombia
- Peru
How they compare
Colombia currently reports 8.8% against 6.9% in Peru, a difference of 1.9%.
That makes Colombia's figure about 1.3 times Peru's.
The two have swapped places 2 times across 14 shared years of data; in 2010 it was Colombia ahead.
Colombia ranks 5th and Peru ranks 6th of 68 countries.
Colombia has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Colombia | Peru | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 11.9% | 10.2% | 1.7% | Colombia |
| 2020s | 11.2% | 7.7% | 3.5% | Colombia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher multidimensional poverty headcount ratio (world bank), Colombia or Peru?
- Colombia, at 8.8% against 6.9% in Peru as of 2024.
- What is the difference in multidimensional poverty headcount ratio (world bank) between Colombia and Peru?
- 1.9%, with Colombia ahead.
- How many years of comparable data are there for Colombia and Peru?
- 14 years are reported by both, from 2010 to 2023.
- How do Colombia and Peru rank globally for multidimensional poverty headcount ratio (world bank)?
- Colombia ranks 5th and Peru ranks 6th 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.