Statistical performance indicators (SPI): Pillar 5 data infrastructure in Saint Vincent and the Grenadines
Saint Vincent and the Grenadines: Statistical performance indicators (SPI): Pillar 5 data infrastructure was 40 scale 0-100 in 2024. ▲ Rising
Statistical performance indicators (SPI): Pillar 5 data infrastructure in Saint Vincent and the Grenadines, 2016–2024
Source: Statistical Performance Indicators, World Bank (WB). Measured in scale 0-100.
Analysis
Saint Vincent and the Grenadines recorded 40 scale 0-100 for statistical performance indicators (spi): pillar 5 data infrastructure in 2024. That is the highest value across all 9 years on record.
That represents a change of unchanged over ten years.
Over the whole period, statistical performance indicators (spi): pillar 5 data infrastructure in Saint Vincent and the Grenadines peaked at 40 scale 0-100 in 2016 and was at its lowest, 35 scale 0-100, in 2017.
Saint Vincent and the Grenadines ranks 161st of 191 countries on this measure, in the bottom quarter.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 36.25 scale 0-100 | 35 scale 0-100 | 40 scale 0-100 | 4 |
| 2020s | 38 scale 0-100 | 35 scale 0-100 | 40 scale 0-100 | 5 |
Countries ranked near Saint Vincent and the Grenadines
- 161 Bahrain 40 scale 0-100 compare
- 161 Bhutan 40 scale 0-100 compare
- 161 Brunei 40 scale 0-100 compare
- 161 Central African Republic 40 scale 0-100 compare
- 161 Comoros 40 scale 0-100 compare
- 161 Democratic Republic of Congo 40 scale 0-100 compare
- 161 Grenada 40 scale 0-100 compare
- 161 Iraq 40 scale 0-100 compare
- 161 South Sudan 40 scale 0-100 compare
- 161 Syria 40 scale 0-100 compare
- 161 Vietnam 40 scale 0-100 compare
More public sector data for Saint Vincent and the Grenadines
- Tax revenue 23.8% (2017)
- Taxes on income, profits and capital gains 24.7% (2017)
- Taxes on goods and services 43.5% (2017)
- Net investment in nonfinancial assets 3.6% (2017)
- Net lending (+) / net borrowing (-) -1.5% (2017)
- Interest payments 8.1% (2017)
- Grants and other revenue 11.3% (2017)
- Interest payments 8.8% (2017)
- Other taxes 2.9% (2017)
- Compensation of employees 49.8% (2017)
Frequently asked questions
- What is statistical performance indicators (spi): pillar 5 data infrastructure in Saint Vincent and the Grenadines?
- Statistical performance indicators (spi): pillar 5 data infrastructure in Saint Vincent and the Grenadines was 40 scale 0-100 in 2024, according to Statistical Performance Indicators, World Bank (WB).
- What is the highest statistical performance indicators (spi): pillar 5 data infrastructure recorded in Saint Vincent and the Grenadines?
- The highest recorded value was 40 scale 0-100 in 2016.
- What is the lowest statistical performance indicators (spi): pillar 5 data infrastructure recorded in Saint Vincent and the Grenadines?
- The lowest recorded value was 35 scale 0-100 in 2017.
- How does Saint Vincent and the Grenadines rank for statistical performance indicators (spi): pillar 5 data infrastructure?
- Saint Vincent and the Grenadines ranks 161st out of 191 countries with data for 2024.
- Is statistical performance indicators (spi): pillar 5 data infrastructure rising or falling in Saint Vincent and the Grenadines?
- Over the last ten years it is unchanged. The long-run trend across the full record is rising.
- Where does this Saint Vincent and the Grenadines data come from?
- The figures come from Statistical Performance Indicators, World Bank (WB), published as part of Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100). Statizoid updates them automatically from the source API.
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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.