Croatia vs Malta: Multidimensional poverty headcount ratio (World Bank)
Multidimensional poverty headcount ratio (World Bank) over time
- Croatia
- Malta
How they compare
Malta currently reports 0.5% against 0.4% in Croatia, a difference of 0.1%.
That makes Malta's figure about 1.2 times Croatia's.
The two have swapped places 1 time across 15 shared years of data; in 2009 it was Croatia ahead.
Croatia ranks 52nd and Malta ranks 49th of 68 countries.
Croatia has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | Croatia | Malta | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 1.5% | 1.0% | 0.5% | Croatia |
| 2010s | 1.1% | 0.6% | 0.6% | Croatia |
| 2020s | 0.5% | 0.3% | 0.2% | Croatia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher multidimensional poverty headcount ratio (world bank), Croatia or Malta?
- Malta, at 0.5% against 0.4% in Croatia as of 2023.
- What is the difference in multidimensional poverty headcount ratio (world bank) between Croatia and Malta?
- 0.1%, with Malta ahead.
- How many years of comparable data are there for Croatia and Malta?
- 15 years are reported by both, from 2009 to 2023.
- How do Croatia and Malta rank globally for multidimensional poverty headcount ratio (world bank)?
- Croatia ranks 52nd and Malta ranks 49th 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.