Palau vs East Timor: Statistical performance indicators (SPI): Pillar 5 data
Statistical performance indicators (SPI): Pillar 5 data over time
- Palau
- East Timor
How they compare
Palau currently reports 55 scale 0-100 against 55 scale 0-100 in East Timor, a difference of 0 scale 0-100.
Across all 8 years both countries report, East Timor has been ahead every year.
Palau ranks 117th and East Timor ranks 117th of 192 countries.
East Timor has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Palau | East Timor | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 25 scale 0-100 | 55 scale 0-100 | 30 scale 0-100 | East Timor |
| 2020s | 45 scale 0-100 | 61 scale 0-100 | 16 scale 0-100 | East Timor |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher statistical performance indicators (spi): pillar 5 data, Palau or East Timor?
- Palau, at 55 scale 0-100 against 55 scale 0-100 in East Timor as of 2024.
- What is the difference in statistical performance indicators (spi): pillar 5 data between Palau and East Timor?
- 0 scale 0-100, with Palau ahead.
- How many years of comparable data are there for Palau and East Timor?
- 8 years are reported by both, from 2017 to 2024.
- How do Palau and East Timor rank globally for statistical performance indicators (spi): pillar 5 data?
- Palau ranks 117th and East Timor ranks 117th of 192 countries.
- Where does this data come from?
- Statistical Performance Indicators, World Bank (WB), published as Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100). Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
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.