Hungary: Prosperity gap (average shortfall from a prosperity standard of $28/day)

Key figures

What the numbers say

In 2017, Hungary's prosperity gap (average shortfall from a prosperity standard of $28/day) fell 13.6% on 2016 (from 2.2 to 1.9).

Across the 19 yearly changes before that (1994 to 2016), the average change was +0.4% and a typical year strayed about 11.1% from that (the standard deviation). This year's change was 1.3 standard deviations below that average, so it was larger than a typical year, though not out of the range seen before.

On record, the biggest yearly rise was 18.2% in 1994 and the biggest yearly fall was 18.2% in 2006. The numbers show how large and when, not why; for the cause, look at what happened in that country in those years.

From 2008 to 2017 the straight-line trend is upward, about 0.04 a year. A straight line explains 46% of the movement over 10 observed years.

Worked out from the yearly values above. How the checks work: standard deviation, z-scores and straight-line trends.

How it compares

See how every economy compares in the full ranking.

What this measures

The average shortfall from a prosperity standard of $28 per day (adjusted for differences in purchasing power parity across countries). It is measured as the average factor by which incomes fall short of $28.

Regional and income-group figures are computed by the World Bank as a population-weighted average.

All 25 values

Prosperity gap (average shortfall from a prosperity standard of $28/day) in nearby economies

• Albania — 2.5 (2020)
• Armenia — 3.6 (2024)
• Austria — 0.8 (2023)
• Belarus — 1.6 (2020)
• Belgium — 0.5 (2023)
• Bulgaria — 1.4 (2023)
• Croatia — 1.1 (2023)
• Cyprus — 0.6 (2023)
• Czechia

More poverty data for Hungary

• Income share held by second 20% — 13.2% (2017)
• Income share held by third 20% — 17.6% (2017)
• Income share held by fourth 20% — 22.8% (2017)
• Income share held by highest 20% — 38.5% (2017)
• Income share held by highest 10% — 23.9% (2017)
• Proportion of people living below 50 percent of median income (%) — 11.5% (2017)
• Income share held by lowest 10% — 3% (2017)
• Income share held by lowest 20% — 7.9% (2017)
• Poverty headcount ratio at $3.00 a day (2021 PPP) (% of population) — 0.9% (2017)
• Poverty gap at $3.00 a day (2021 PPP) (%)

Reading data like this

• Where to find free public data, and how to check it before you trust it — 2 min read
• Data analysis examples: 6 worked from one dataset — 3 min read
• Real change or random noise? A plain guide to reading your numbers — 2 min read

Questions people ask

What is Hungary's prosperity gap (average shortfall from a prosperity standard of $28/day)?

1.9 in 2017, according to the World Bank (World Development Indicators).

How has it changed since 1987?

It is up 26.67% from 1.5 in 1987 (0.79% a year on average, compounded). The highest value was 3.2 in 1989 and the lowest 1.5 in 1987.

Is the latest change in prosperity gap (average shortfall from a prosperity standard of $28/day) unusual for Hungary?

In 2017, Hungary's prosperity gap (average shortfall from a prosperity standard of $28/day) fell 13.6% on 2016 (from 2.2 to 1.9). Across the 19 yearly changes before that (1994 to 2016), the average change was +0.4% and a typical year strayed about 11.1% from that (the standard deviation). This year's change was 1.3 standard deviations below that average, so it was larger than a typical year, though not out of the range seen before.

Source

World Bank, World Development Indicators, indicator SI.SPR.PGAP, licensed CC BY 4.0. Original 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 economies are mostly from the Luxembourg Income Study database. Figures are fetched from the World Bank API and refreshed monthly; see the series on data.worldbank.org. The full definition and method are in the World Bank's metadata glossary. Comparisons use the same World Bank release.

Want to ask your own questions of data like this? Try AnalyzeIt: upload a file or ask about public data in plain words, and every figure comes with its working.