Statistical performance indicators (SPI): Pillar 4 data sources score in Trinidad and Tobago

Trinidad and Tobago: Statistical performance indicators (SPI): Pillar 4 data sources score was 41.71 scale 0-100 in 2024. ▼ Falling

Latest (2024)
41.71 scale 0-100
Change on year
up 5.9%
World rank
141st
of 182 countries
All-time high
47.5 scale 0-100
in 2016
All-time low
39.38 scale 0-100
in 2022
Years of data
9
2016–2024

Statistical performance indicators (SPI): Pillar 4 data sources score in Trinidad and Tobago, 2016–2024

010203040502016202020242016: 47.5 scale 0-1002017: 45.9 scale 0-1002018: 45.2 scale 0-1002019: 45.2 scale 0-1002020: 47.3 scale 0-1002021: 47.3 scale 0-1002022: 39.4 scale 0-1002023: 39.4 scale 0-1002024: 41.7 scale 0-100

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

Analysis

The most recent figure for statistical performance indicators (spi): pillar 4 data sources score in Trinidad and Tobago is 41.71 scale 0-100, measured in 2024.

That represents a change of up 5.9% on the previous year and down 12.2% over ten years.

Over the whole period, statistical performance indicators (spi): pillar 4 data sources score in Trinidad and Tobago peaked at 47.5 scale 0-100 in 2016 and was at its lowest, 39.38 scale 0-100, in 2022.

Trinidad and Tobago ranks 141st of 182 countries on this measure, in the bottom quarter.

Averages by decade

DecadeAverage LowestHighest Years
2010s 45.95 scale 0-100 45.23 scale 0-100 47.5 scale 0-100 4
2020s 43.02 scale 0-100 39.38 scale 0-100 47.33 scale 0-100 5

Countries ranked near Trinidad and Tobago

  1. 138 Mali 43.33 scale 0-100 compare
  2. 139 East Timor 42.79 scale 0-100 compare
  3. 140 Zambia 42.28 scale 0-100 compare
  4. 142 Sierra Leone 41.69 scale 0-100 compare
  5. 143 Niger 40.77 scale 0-100 compare
  6. 144 China 40.7 scale 0-100 compare

See the full ranking of 186 places →

More public sector data for Trinidad and Tobago

All data for Trinidad and Tobago →

Frequently asked questions

What is statistical performance indicators (spi): pillar 4 data sources score in Trinidad and Tobago?
Statistical performance indicators (spi): pillar 4 data sources score in Trinidad and Tobago was 41.71 scale 0-100 in 2024, according to Statistical Performance Indicators, World Bank (WB).
What is the highest statistical performance indicators (spi): pillar 4 data sources score recorded in Trinidad and Tobago?
The highest recorded value was 47.5 scale 0-100 in 2016.
What is the lowest statistical performance indicators (spi): pillar 4 data sources score recorded in Trinidad and Tobago?
The lowest recorded value was 39.38 scale 0-100 in 2022.
How does Trinidad and Tobago rank for statistical performance indicators (spi): pillar 4 data sources score?
Trinidad and Tobago ranks 141st out of 182 countries with data for 2024.
Is statistical performance indicators (spi): pillar 4 data sources score rising or falling in Trinidad and Tobago?
Over the last ten years it is down 12.2%. The long-run trend across the full record is falling.
Where does this Trinidad and Tobago data come from?
The figures come from Statistical Performance Indicators, World Bank (WB), published as part of Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100). Statizoid updates them automatically from the source API.

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About this data

Indicator
Statistical performance indicators (SPI): Pillar 4 data sources 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
186 places, 1,766 data points, 2015–2024
Last refreshed

The data sources overall score is a composite measure of whether countries have data available from the following sources: Censuses and surveys, administrative data, geospatial data, and private sector/citizen generated data. The data sources (input) pillar is segmented by four types of sources generated by (i) the statistical office (censuses and surveys), and sources accessed from elsewhere such as (ii) administrative data, (iii) geospatial data, and (iv) private sector data and citizen generated data. The appropriate balance between these source types will vary depending on a country's institutional setting and the maturity of its statistical system. High scores should reflect the extent to which the sources being utilized enable the necessary statistical indicators to be generated. For example, a low score on environment statistics (in the data production pillar) may reflect a lack of use of (and low score for) geospatial data (in the data sources pillar). This type of linkage is inherent in the data cycle approach and can help highlight areas for investment required if country needs are to be met.