Congo vs Trinidad and Tobago: Statistical performance: Pillar 5 data infrastructure score
Statistical performance: Pillar 5 data infrastructure score over time
- Congo
- Trinidad and Tobago
How they compare
Congo currently reports 50 scale 0-100 against 50 scale 0-100 in Trinidad and Tobago, a difference of 0 scale 0-100.
Across all 9 years both countries report, Trinidad and Tobago has been ahead every year.
Congo ranks 138th and Trinidad and Tobago ranks 138th of 192 countries.
Trinidad and Tobago has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Congo | Trinidad and Tobago | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 22.5 scale 0-100 | 33.75 scale 0-100 | 11.25 scale 0-100 | Trinidad and Tobago |
| 2020s | 35 scale 0-100 | 50 scale 0-100 | 15 scale 0-100 | Trinidad and Tobago |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher statistical performance indicators (spi): pillar 5 data, Congo or Trinidad and Tobago?
- Congo, at 50 scale 0-100 against 50 scale 0-100 in Trinidad and Tobago as of 2024.
- What is the difference in statistical performance indicators (spi): pillar 5 data between Congo and Trinidad and Tobago?
- 0 scale 0-100, with Congo ahead.
- How many years of comparable data are there for Congo and Trinidad and Tobago?
- 9 years are reported by both, from 2016 to 2024.
- How do Congo and Trinidad and Tobago rank globally for statistical performance indicators (spi): pillar 5 data?
- Congo ranks 138th and Trinidad and Tobago ranks 138th 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.