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
Statistical performance indicators (SPI): Pillar 4 data sources score in Trinidad and Tobago, 2016–2024
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
| Decade | Average | Lowest | Highest | 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
More public sector data for Trinidad and Tobago
- Arms imports 32.00 million SIPRI trend indicator values (2021)
- Tax revenue 16.8% (2019)
- Taxes on income, profits and capital gains 26.1% (2019)
- Taxes on goods and services 20.8% (2019)
- Net investment in nonfinancial assets 1.6% (2019)
- Net lending (+) / net borrowing (-) -10.6% (2019)
- Interest payments 13.2% (2019)
- Grants and other revenue 18.7% (2019)
- Interest payments 9.6% (2019)
- Other taxes 16.1% (2019)
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
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.