North Korea vs Monaco: Statistical performance: Pillar 3 data products score (scale)
Statistical performance: Pillar 3 data products score (scale) over time
- North Korea
- Monaco
How they compare
North Korea currently reports 46.56 scale 0-100 against 41.12 scale 0-100 in Monaco, a difference of 5.44 scale 0-100.
That makes North Korea's figure about 1.1 times Monaco's.
Across all 20 years both countries report, North Korea has been ahead every year.
North Korea ranks 191st and Monaco ranks 193rd of 215 countries.
North Korea has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | North Korea | Monaco | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 40.36 scale 0-100 | 14.88 scale 0-100 | 25.48 scale 0-100 | North Korea |
| 2010s | 38.11 scale 0-100 | 18.21 scale 0-100 | 19.9 scale 0-100 | North Korea |
| 2020s | 48.69 scale 0-100 | 38.95 scale 0-100 | 9.74 scale 0-100 | North Korea |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher statistical performance indicators (spi): pillar 3 data products score, North Korea or Monaco?
- North Korea, at 46.56 scale 0-100 against 41.12 scale 0-100 in Monaco as of 2024.
- What is the difference in statistical performance indicators (spi): pillar 3 data products score between North Korea and Monaco?
- 5.44 scale 0-100, with North Korea ahead.
- How many years of comparable data are there for North Korea and Monaco?
- 20 years are reported by both, from 2005 to 2024.
- How do North Korea and Monaco rank globally for statistical performance indicators (spi): pillar 3 data products score?
- North Korea ranks 191st and Monaco ranks 193rd of 215 countries.
- Where does this data come from?
- Statistical Performance Indicators, World Bank (WB), published as Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100). Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
The data products overall score is a composite score measuring whether the country is able to produce relevant indicators, primarily related to SDGs. The data products (internal process) pillar is segmented by four topics and organized into (i) social, (ii) economic, (iii) environmental, and (iv) institutional dimensions using the typology of the Sustainable Development Goals (SDGs). This approach anchors the national statistical system's performance around the essential data required to support the achievement of the 2030 global goals, and enables comparisons across countries so that a global view can be generated while enabling country specific emphasis to reflect the user needs of that country.