Statistical performance indicators (SPI): Pillar 1 data use score in Saint Vincent and the Grenadines
Saint Vincent and the Grenadines: Statistical performance indicators (SPI): Pillar 1 data use score was 50 scale 0-100 in 2024. ▲ Rising
Statistical performance indicators (SPI): Pillar 1 data use score in Saint Vincent and the Grenadines, 2004–2024
Source: Statistical Performance Indicators, World Bank (WB). Measured in scale 0-100.
Analysis
In 2024, statistical performance indicators (spi): pillar 1 data use score in Saint Vincent and the Grenadines stood at 50 scale 0-100. That is the highest value across all 21 years on record.
The figure is up 66.7% on the previous year and up 150.0% over ten years.
Over the whole period, statistical performance indicators (spi): pillar 1 data use score in Saint Vincent and the Grenadines peaked at 50 scale 0-100 in 2016 and was at its lowest, 20 scale 0-100, in 2004.
That places Saint Vincent and the Grenadines 172nd out of 217 countries with data for 2024, putting it in the bottom quarter.
The long-run direction has been consistently rising across the 21 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 20 scale 0-100 | 20 scale 0-100 | 20 scale 0-100 | 6 |
| 2010s | 34 scale 0-100 | 20 scale 0-100 | 50 scale 0-100 | 10 |
| 2020s | 34 scale 0-100 | 30 scale 0-100 | 50 scale 0-100 | 5 |
Countries ranked near Saint Vincent and the Grenadines
- 171 Vanuatu 56.6 scale 0-100 compare
- 172 Botswana 50 scale 0-100 compare
- 172 Burundi 50 scale 0-100 compare
- 172 Central African Republic 50 scale 0-100 compare
- 172 Dominica 50 scale 0-100 compare
- 172 Kiribati 50 scale 0-100 compare
- 172 Papua New Guinea 50 scale 0-100 compare
- 172 Puerto Rico 50 scale 0-100 compare
- 172 Turkey 50 scale 0-100 compare
- 172 Turks and Caicos Islands 50 scale 0-100 compare
- 172 Tuvalu 50 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 1 data use score in Saint Vincent and the Grenadines?
- Statistical performance indicators (spi): pillar 1 data use score in Saint Vincent and the Grenadines was 50 scale 0-100 in 2024, according to Statistical Performance Indicators, World Bank (WB).
- What is the highest statistical performance indicators (spi): pillar 1 data use score recorded in Saint Vincent and the Grenadines?
- The highest recorded value was 50 scale 0-100 in 2016.
- What is the lowest statistical performance indicators (spi): pillar 1 data use score recorded in Saint Vincent and the Grenadines?
- The lowest recorded value was 20 scale 0-100 in 2004.
- How does Saint Vincent and the Grenadines rank for statistical performance indicators (spi): pillar 1 data use score?
- Saint Vincent and the Grenadines ranks 172nd out of 217 countries with data for 2024.
- Is statistical performance indicators (spi): pillar 1 data use score rising or falling in Saint Vincent and the Grenadines?
- Over the last ten years it is up 150.0%. 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 1 data use score (scale 0-100). Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 21 observations, free to reuse under CC BY 4.0 (World Bank Open Data).
About this data
The data use overall score is a composite score measuring the demand side of the statistical system. The data use pillar is segmented by five types of users: (i) the legislature, (ii) the executive branch, (iii) civil society (including sub-national actors), (iv) academia and (v) international bodies. Each dimension would have associated indicators to measure performance. A mature system would score well across all dimensions whereas a less mature one would have weaker scores along certain dimensions. The gaps would give insights into prioritization among user groups and help answer questions as to why the existing services are not resulting in higher use of national statistics in a particular segment. Currently, the SPI only features indicators for one of the five dimensions of data use, which is data use by international organizations. Indicators on whether statistical systems are providing useful data to their national governments (legislature and executive branches), to civil society, and to academia are absent. Thus the dashboard does not yet assess if national statistical systems are meeting the data needs of a large swathe of users.