Trinidad and Tobago vs Zambia: Statistical performance indicators (SPI): Pillar 5 data
Statistical performance indicators (SPI): Pillar 5 data over time
- Trinidad and Tobago
- Zambia
How they compare
Trinidad and Tobago currently reports 50 scale 0-100 against 50 scale 0-100 in Zambia, a difference of 0 scale 0-100.
The two have swapped places 2 times across 9 shared years of data; in 2016 it was Zambia ahead.
Trinidad and Tobago ranks 137th and Zambia ranks 137th of 191 countries.
Across the 2 decades both report, Trinidad and Tobago averaged higher in 1 and Zambia in 1.
Head to head by decade
| Decade | Trinidad and Tobago | Zambia | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 33.75 scale 0-100 | 40 scale 0-100 | 6.25 scale 0-100 | Zambia |
| 2020s | 50 scale 0-100 | 46 scale 0-100 | 4 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, Trinidad and Tobago or Zambia?
- Trinidad and Tobago, at 50 scale 0-100 against 50 scale 0-100 in Zambia as of 2024.
- What is the difference in statistical performance indicators (spi): pillar 5 data between Trinidad and Tobago and Zambia?
- 0 scale 0-100, with Trinidad and Tobago ahead.
- How many years of comparable data are there for Trinidad and Tobago and Zambia?
- 9 years are reported by both, from 2016 to 2024.
- How do Trinidad and Tobago and Zambia rank globally for statistical performance indicators (spi): pillar 5 data?
- Trinidad and Tobago ranks 137th and Zambia ranks 137th of 191 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.