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Statistical performance indicators (SPI): Pillar 1 data use score in Vietnam

Vietnam: Statistical performance indicators (SPI): Pillar 1 data use score was 100 scale 0-100 in 2024. ▲ Rising

Latest (2024)
100 scale 0-100
Change on year
unchanged
World rank
1st
of 217 countries
All-time high
100 scale 0-100
in 2016
All-time low
20 scale 0-100
in 2008
Years of data
21
2004–2024

Statistical performance indicators (SPI): Pillar 1 data use score in Vietnam, 2004–2024

204060801002004201420242004: 40 scale 0-1002005: 40 scale 0-1002006: 40 scale 0-1002007: 40 scale 0-1002008: 20 scale 0-1002009: 20 scale 0-1002010: 60 scale 0-1002011: 60 scale 0-1002012: 60 scale 0-1002013: 60 scale 0-1002014: 60 scale 0-1002015: 80 scale 0-1002016: 100 scale 0-1002017: 100 scale 0-1002018: 100 scale 0-1002019: 100 scale 0-1002020: 100 scale 0-1002021: 100 scale 0-1002022: 100 scale 0-1002023: 100 scale 0-1002024: 100 scale 0-100

Source: Statistical Performance Indicators, World Bank (WB). Measured in scale 0-100.

Analysis

In 2024, statistical performance indicators (spi): pillar 1 data use score in Vietnam stood at 100 scale 0-100. That is the highest value across all 21 years on record.

The figure is up 66.7% over ten years.

Over the whole period, statistical performance indicators (spi): pillar 1 data use score in Vietnam peaked at 100 scale 0-100 in 2016 and was at its lowest, 20 scale 0-100, in 2008.

Vietnam ranks 1st of 217 countries on this measure, in the top 10%.

The long-run direction has been consistently rising across the 21 years of available data.

Averages by decade

DecadeAverage LowestHighest Years
2000s 33.33 scale 0-100 20 scale 0-100 40 scale 0-100 6
2010s 78 scale 0-100 60 scale 0-100 100 scale 0-100 10
2020s 100 scale 0-100 100 scale 0-100 100 scale 0-100 5

Countries ranked near Vietnam

  1. 1 Albania 100 scale 0-100 compare
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  3. 1 Belgium 100 scale 0-100 compare
  4. 1 Bulgaria 100 scale 0-100 compare
  5. 1 Canada 100 scale 0-100 compare
  6. 1 Chile 100 scale 0-100 compare
  7. 1 Costa Rica 100 scale 0-100 compare
  8. 1 Croatia 100 scale 0-100 compare
  9. 1 Cyprus 100 scale 0-100 compare
  10. 1 Czechia 100 scale 0-100 compare
  11. 1 Denmark 100 scale 0-100 compare
  12. 1 Dominican Republic 100 scale 0-100 compare
  13. 1 Ecuador 100 scale 0-100 compare
  14. 1 Estonia 100 scale 0-100 compare
  15. 1 Finland 100 scale 0-100 compare
  16. 1 France 100 scale 0-100 compare
  17. 1 Georgia 100 scale 0-100 compare
  18. 1 Germany 100 scale 0-100 compare
  19. 1 Greece 100 scale 0-100 compare
  20. 1 Iceland 100 scale 0-100 compare
  21. 1 Indonesia 100 scale 0-100 compare
  22. 1 Ireland 100 scale 0-100 compare
  23. 1 Israel 100 scale 0-100 compare
  24. 1 Italy 100 scale 0-100 compare
  25. 1 Jamaica 100 scale 0-100 compare
  26. 1 Japan 100 scale 0-100 compare
  27. 1 Kazakhstan 100 scale 0-100 compare
  28. 1 South Korea 100 scale 0-100 compare
  29. 1 Kyrgyzstan 100 scale 0-100 compare
  30. 1 Latvia 100 scale 0-100 compare
  31. 1 Lithuania 100 scale 0-100 compare
  32. 1 Luxembourg 100 scale 0-100 compare
  33. 1 Mali 100 scale 0-100 compare
  34. 1 Malta 100 scale 0-100 compare
  35. 1 Mexico 100 scale 0-100 compare
  36. 1 Moldova 100 scale 0-100 compare
  37. 1 New Zealand 100 scale 0-100 compare
  38. 1 Nigeria 100 scale 0-100 compare
  39. 1 North Macedonia 100 scale 0-100 compare
  40. 1 Norway 100 scale 0-100 compare
  41. 1 Panama 100 scale 0-100 compare
  42. 1 Peru 100 scale 0-100 compare
  43. 1 Philippines 100 scale 0-100 compare
  44. 1 Poland 100 scale 0-100 compare
  45. 1 Portugal 100 scale 0-100 compare
  46. 1 Romania 100 scale 0-100 compare
  47. 1 Senegal 100 scale 0-100 compare
  48. 1 Serbia 100 scale 0-100 compare
  49. 1 Singapore 100 scale 0-100 compare
  50. 1 Slovenia 100 scale 0-100 compare
  51. 1 Spain 100 scale 0-100 compare
  52. 1 Sweden 100 scale 0-100 compare
  53. 1 Switzerland 100 scale 0-100 compare
  54. 1 Thailand 100 scale 0-100 compare
  55. 1 Ukraine 100 scale 0-100 compare
  56. 1 United Kingdom 100 scale 0-100 compare
  57. 1 United States 100 scale 0-100 compare
  58. 1 Uruguay 100 scale 0-100 compare
  59. 1 Zimbabwe 100 scale 0-100 compare

See the full ranking of 221 places →

More public sector data for Vietnam

All data for Vietnam →

Frequently asked questions

What is statistical performance indicators (spi): pillar 1 data use score in Vietnam?
Statistical performance indicators (spi): pillar 1 data use score in Vietnam was 100 scale 0-100 in 2024, according to Statistical Performance Indicators, World Bank (WB).
What is the highest statistical performance indicators (spi): pillar 1 data use score recorded in Vietnam?
The highest recorded value was 100 scale 0-100 in 2016.
What is the lowest statistical performance indicators (spi): pillar 1 data use score recorded in Vietnam?
The lowest recorded value was 20 scale 0-100 in 2008.
How does Vietnam rank for statistical performance indicators (spi): pillar 1 data use score?
Vietnam ranks 1st out of 217 countries with data for 2024.
Is statistical performance indicators (spi): pillar 1 data use score rising or falling in Vietnam?
Over the last ten years it is up 66.7%. The long-run trend across the full record is rising.
Where does this Vietnam data come from?
The figures come from Statistical Performance Indicators, World Bank (WB), published as part of Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100). Statizoid updates them automatically from the source API.

Download this data

CSV · JSON — 21 observations, free to reuse under CC BY 4.0 (World Bank Open Data).

About this data

Indicator
Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)
Unit
scale 0-100
Source
Statistical Performance Indicators, World Bank (WB)
Licence
CC BY 4.0 (World Bank Open Data)
Coverage
221 places, 4,593 data points, 2004–2024
Last refreshed

The data use overall score is a composite score measuring the demand side of the statistical system. The data use pillar is segmented by five types of users: (i) the legislature, (ii) the executive branch, (iii) civil society (including sub-national actors), (iv) academia and (v) international bodies. Each dimension would have associated indicators to measure performance. A mature system would score well across all dimensions whereas a less mature one would have weaker scores along certain dimensions. The gaps would give insights into prioritization among user groups and help answer questions as to why the existing services are not resulting in higher use of national statistics in a particular segment. Currently, the SPI only features indicators for one of the five dimensions of data use, which is data use by international organizations. Indicators on whether statistical systems are providing useful data to their national governments (legislature and executive branches), to civil society, and to academia are absent. Thus the dashboard does not yet assess if national statistical systems are meeting the data needs of a large swathe of users.