Statistical performance indicators (SPI): Pillar 5 data infrastructure in Hungary
Hungary: Statistical performance indicators (SPI): Pillar 5 data infrastructure was 80 scale 0-100 in 2024. ▼ Falling
Statistical performance indicators (SPI): Pillar 5 data infrastructure in Hungary, 2016–2024
Source: Statistical Performance Indicators, World Bank (WB). Measured in scale 0-100.
Analysis
Hungary recorded 80 scale 0-100 for statistical performance indicators (spi): pillar 5 data infrastructure in 2024. That is the lowest value across all 9 years on record.
Compared with earlier readings it is down 20.0% on the previous year and down 20.0% over ten years.
Over the whole period, statistical performance indicators (spi): pillar 5 data infrastructure in Hungary peaked at 100 scale 0-100 in 2016 and was at its lowest, 80 scale 0-100, in 2024.
Hungary ranks 50th of 191 countries on this measure, in the middle of the range.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 100 scale 0-100 | 100 scale 0-100 | 100 scale 0-100 | 4 |
| 2020s | 92 scale 0-100 | 80 scale 0-100 | 100 scale 0-100 | 5 |
Countries ranked near Hungary
- 50 Armenia 80 scale 0-100 compare
- 50 Belgium 80 scale 0-100 compare
- 50 Bosnia and Herzegovina 80 scale 0-100 compare
- 50 Brazil 80 scale 0-100 compare
- 50 Colombia 80 scale 0-100 compare
- 50 Croatia 80 scale 0-100 compare
- 50 Estonia 80 scale 0-100 compare
- 50 Georgia 80 scale 0-100 compare
- 50 Kenya 80 scale 0-100 compare
- 50 Mauritius 80 scale 0-100 compare
- 50 Mexico 80 scale 0-100 compare
- 50 Paraguay 80 scale 0-100 compare
- 50 Poland 80 scale 0-100 compare
- 50 Portugal 80 scale 0-100 compare
- 50 Senegal 80 scale 0-100 compare
- 50 Singapore 80 scale 0-100 compare
- 50 United States 80 scale 0-100 compare
More public sector data for Hungary
- Arms imports 604.00 million SIPRI trend indicator values (2024)
- Tax revenue 22.7% (2024)
- Taxes on income, profits and capital gains 18.9% (2024)
- Taxes on goods and services 37.1% (2024)
- Net investment in nonfinancial assets 3.4% (2024)
- Net lending (+) / net borrowing (-) -4.5% (2024)
- Interest payments 12.2% (2024)
- Grants and other revenue 15.8% (2024)
- Interest payments 6.6% (2022)
- Other taxes 1.7% (2024)
Frequently asked questions
- What is statistical performance indicators (spi): pillar 5 data infrastructure in Hungary?
- Statistical performance indicators (spi): pillar 5 data infrastructure in Hungary was 80 scale 0-100 in 2024, according to Statistical Performance Indicators, World Bank (WB).
- What is the highest statistical performance indicators (spi): pillar 5 data infrastructure recorded in Hungary?
- The highest recorded value was 100 scale 0-100 in 2016.
- What is the lowest statistical performance indicators (spi): pillar 5 data infrastructure recorded in Hungary?
- The lowest recorded value was 80 scale 0-100 in 2024.
- How does Hungary rank for statistical performance indicators (spi): pillar 5 data infrastructure?
- Hungary ranks 50th out of 191 countries with data for 2024.
- Is statistical performance indicators (spi): pillar 5 data infrastructure rising or falling in Hungary?
- Over the last ten years it is down 20.0%. The long-run trend across the full record is falling.
- Where does this Hungary data come from?
- The figures come from Statistical Performance Indicators, World Bank (WB), published as part of Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100). Statizoid updates them automatically from the source API.
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About this data
The data infrastructure pillar overall score measures the hard and soft infrastructure segments, itemizing essential cross cutting requirements for an effective statistical system. The segments are: (i) legislation and governance covering the existence of laws and a functioning institutional framework for the statistical system; (ii) standards and methods addressing compliance with recognized frameworks and concepts; (iii) skills including level of skills within the statistical system and among users (statistical literacy); (iv) partnerships reflecting the need for the statistical system to be inclusive and coherent; and (v) finance mobilized both domestically and from donors.