Statistical performance indicators (SPI): Pillar 1 data use score in Guam
Guam: Statistical performance indicators (SPI): Pillar 1 data use score was 40 scale 0-100 in 2024. ◆ Volatile
Statistical performance indicators (SPI): Pillar 1 data use score in Guam, 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 Guam is 40 scale 0-100, measured in 2024.
Compared with earlier readings it is up 100.0% over ten years.
Over the whole period, statistical performance indicators (spi): pillar 1 data use score in Guam peaked at 60 scale 0-100 in 2016 and was at its lowest, 0 scale 0-100, in 2004.
That places Guam 186th out of 217 countries with data for 2024, putting it 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 | 32 scale 0-100 | 20 scale 0-100 | 60 scale 0-100 | 10 |
| 2020s | 40 scale 0-100 | 40 scale 0-100 | 40 scale 0-100 | 5 |
Countries ranked near Guam
- 183 Sudan 46.6 scale 0-100 compare
- 183 Suriname 46.6 scale 0-100 compare
- 183 Yemen 46.6 scale 0-100 compare
- 186 American Samoa 40 scale 0-100 compare
- 186 Aruba 40 scale 0-100 compare
- 186 Bermuda 40 scale 0-100 compare
- 186 Democratic Republic of Congo 40 scale 0-100 compare
- 186 Cuba 40 scale 0-100 compare
- 186 Djibouti 40 scale 0-100 compare
- 186 Faroe Islands 40 scale 0-100 compare
- 186 French Polynesia 40 scale 0-100 compare
- 186 Gibraltar 40 scale 0-100 compare
- 186 Greenland 40 scale 0-100 compare
- 186 Haiti 40 scale 0-100 compare
- 186 Hong Kong 40 scale 0-100 compare
- 186 Isle of Man 40 scale 0-100 compare
- 186 Liechtenstein 40 scale 0-100 compare
- 186 Macao 40 scale 0-100 compare
- 186 Namibia 40 scale 0-100 compare
- 186 Northern Mariana Islands 40 scale 0-100 compare
- 186 Saint Martin (French part) 40 scale 0-100 compare
- 186 United States Virgin Islands 40 scale 0-100 compare
More public sector data for Guam
- Intentional homicides 4.33 per 100,000 people (2019)
- Statistical performance indicators (SPI): Pillar 3 data products score 25.63 scale 0-100 (2024)
Frequently asked questions
- What is statistical performance indicators (spi): pillar 1 data use score in Guam?
- Statistical performance indicators (spi): pillar 1 data use score in Guam was 40 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 Guam?
- The highest recorded value was 60 scale 0-100 in 2016.
- What is the lowest statistical performance indicators (spi): pillar 1 data use score recorded in Guam?
- The lowest recorded value was 0 scale 0-100 in 2004.
- How does Guam rank for statistical performance indicators (spi): pillar 1 data use score?
- Guam ranks 186th out of 217 countries with data for 2024.
- Is statistical performance indicators (spi): pillar 1 data use score rising or falling in Guam?
- Over the last ten years it is up 100.0%. The long-run trend across the full record is volatile.
- Where does this Guam 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
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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.