Denmark vs Hungary: Multidimensional poverty headcount ratio (World Bank)
Multidimensional poverty headcount ratio (World Bank) over time
- Denmark
- Hungary
How they compare
Hungary currently reports 1.0% against 0.8% in Denmark, a difference of 0.2%.
That makes Hungary's figure about 1.2 times Denmark's.
The two have swapped places 1 time across 10 shared years of data; in 2008 it was Denmark ahead.
Denmark ranks 43rd and Hungary ranks 40th of 68 countries.
Denmark has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Denmark | Hungary | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 2.4% | 0.1% | 2.2% | Denmark |
| 2010s | 1.1% | 0.8% | 0.4% | Denmark |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher multidimensional poverty headcount ratio (world bank), Denmark or Hungary?
- Hungary, at 1.0% against 0.8% in Denmark as of 2017.
- What is the difference in multidimensional poverty headcount ratio (world bank) between Denmark and Hungary?
- 0.2%, with Hungary ahead.
- How many years of comparable data are there for Denmark and Hungary?
- 10 years are reported by both, from 2008 to 2017.
- How do Denmark and Hungary rank globally for multidimensional poverty headcount ratio (world bank)?
- Denmark ranks 43rd and Hungary ranks 40th 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.