Statistical performance indicators (SPI): Pillar 1 data use score in Cayman Islands
Cayman Islands: Statistical performance indicators (SPI): Pillar 1 data use score was 30 scale 0-100 in 2024. ◆ Volatile
Statistical performance indicators (SPI): Pillar 1 data use score in Cayman Islands, 2004–2024
Source: Statistical Performance Indicators, World Bank (WB). Measured in scale 0-100.
Analysis
The most recent figure for statistical performance indicators (spi): pillar 1 data use score in Cayman Islands is 30 scale 0-100, measured in 2024.
That represents a change of up 50.0% over ten years.
Over the whole period, statistical performance indicators (spi): pillar 1 data use score in Cayman Islands peaked at 50 scale 0-100 in 2016 and was at its lowest, 0 scale 0-100, in 2004.
Cayman Islands ranks 207th of 217 countries on this measure, in the bottom quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 0 scale 0-100 | 0 scale 0-100 | 0 scale 0-100 | 6 |
| 2010s | 33 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 Cayman Islands
- 207 Congo 30 scale 0-100 compare
- 207 Marshall Islands 30 scale 0-100 compare
- 207 Sint Maarten (Dutch part) 30 scale 0-100 compare
More public sector data for Cayman Islands
- Intentional homicides 4.37 per 100,000 people (2020)
- Statistical performance indicators (SPI): Pillar 3 data products score 27.66 scale 0-100 (2024)
- Intentional homicides, male 16.71 per 100,000 male (2014)
- Intentional homicides, female 3.75 per 100,000 female (2009)
Frequently asked questions
- What is statistical performance indicators (spi): pillar 1 data use score in Cayman Islands?
- Statistical performance indicators (spi): pillar 1 data use score in Cayman Islands was 30 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 Cayman Islands?
- 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 Cayman Islands?
- The lowest recorded value was 0 scale 0-100 in 2004.
- How does Cayman Islands rank for statistical performance indicators (spi): pillar 1 data use score?
- Cayman Islands ranks 207th out of 217 countries with data for 2024.
- Is statistical performance indicators (spi): pillar 1 data use score rising or falling in Cayman Islands?
- Over the last ten years it is up 50.0%. The long-run trend across the full record is volatile.
- Where does this Cayman Islands 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.