Multidimensional poverty headcount ratio (World Bank) in Hungary
Hungary: Multidimensional poverty headcount ratio (World Bank) was 1.0% in 2017. ◆ Volatile
Multidimensional poverty headcount ratio (World Bank) in Hungary, 2008–2017
Source: 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. Measured in % of population.
Analysis
In 2017, multidimensional poverty headcount ratio (world bank) in Hungary stood at 1.0%.
The figure is down 37.5% on the previous year and up 900.0% over ten years.
Over the whole period, multidimensional poverty headcount ratio (world bank) in Hungary peaked at 1.6% in 2016 and was at its lowest, 0.1%, in 2008.
Hungary ranks 40th of 68 countries on this measure, in the middle of the range.
The series is highly variable year to year, so single readings are best treated with caution.
Multidimensional poverty headcount ratio (World Bank) in Hungary, year by year
| Year | % of population | Change |
|---|---|---|
| 2008 | 0.1% | — |
| 2009 | 0.1% | +0.0% |
| 2010 | 0.2% | +100.0% |
| 2011 | 0.2% | +0.0% |
| 2012 | 0.5% | +150.0% |
| 2013 | 0.5% | +0.0% |
| 2014 | 1.0% | +100.0% |
| 2015 | 1.0% | +0.0% |
| 2016 | 1.6% | +60.0% |
| 2017 | 1.0% | -37.5% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 0.1% | 0.1% | 0.1% | 2 |
| 2010s | 0.8% | 0.2% | 1.6% | 8 |
Countries ranked near Hungary
More poverty & inequality data for Hungary
- Number of income/consumption surveys in the past decade available via the World Bank 2 surveys (2025)
- Number of income/consumption surveys in the past decade available via 0 surveys per person (2025)
- Number of income/consumption surveys in the past decade available via 0 surveys per US$ of GDP (2025)
- Fertility rate vs. share living in extreme poverty 1.49 live births per woman (2023)
- Cereal yield vs. share in extreme poverty 5,630 kg per hectare (2024)
- Cereal yield vs extreme poverty, per unit of GDP 0 units per US$ of GDP (2024)
- Cereal yield vs extreme poverty, annual growth rate -9.95 % change on previous year (2024)
- Tax revenues vs income inequality, gaps filled 34.19 (2023)
- Tax revenue as share of GDP vs. income inequality 34.2% (2023)
- Tax revenues vs income inequality, per unit of GDP 0 units per US$ of GDP (2023)
Frequently asked questions
- What is multidimensional poverty headcount ratio (world bank) in Hungary?
- Multidimensional poverty headcount ratio (world bank) in Hungary was 1.0% in 2017, according to 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.
- What is the highest multidimensional poverty headcount ratio (world bank) recorded in Hungary?
- The highest recorded value was 1.6% in 2016.
- What is the lowest multidimensional poverty headcount ratio (world bank) recorded in Hungary?
- The lowest recorded value was 0.1% in 2008.
- How does Hungary rank for multidimensional poverty headcount ratio (world bank)?
- Hungary ranks 40th out of 68 countries with data for 2017.
- Is multidimensional poverty headcount ratio (world bank) rising or falling in Hungary?
- Over the last ten years it is up 900.0%. The long-run trend across the full record is volatile.
- Where does this Hungary data come from?
- The figures 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 part of Multidimensional poverty headcount ratio (World Bank) (% of population). Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 10 observations, free to reuse under CC BY 4.0 (World Bank Open Data).
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.