Statistical performance indicators (SPI): Pillar 1 data use score in North Korea
North Korea: Statistical performance indicators (SPI): Pillar 1 data use score was 10 scale 0-100 in 2024. ◆ Volatile
Statistical performance indicators (SPI): Pillar 1 data use score in North Korea, 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 North Korea stood at 10 scale 0-100.
The figure is unchanged over five years.
Over the whole period, statistical performance indicators (spi): pillar 1 data use score in North Korea peaked at 20 scale 0-100 in 2015 and was at its lowest, 0 scale 0-100, in 2004.
That places North Korea 216th 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 | 6 scale 0-100 | 0 scale 0-100 | 20 scale 0-100 | 10 |
| 2020s | 10 scale 0-100 | 10 scale 0-100 | 10 scale 0-100 | 5 |
Countries ranked near North Korea
- 215 Eritrea 16.6 scale 0-100 compare
- 216 Equatorial Guinea 10 scale 0-100 compare
More public sector data for North Korea
- Arms imports 1.00 million SIPRI trend indicator values (2010)
- Military expenditure 1.60 billion current USD (2018)
- Armed forces personnel, total 1.47 million (2020)
- Armed forces personnel 8.6% (2020)
- Statistical performance indicators (SPI): Pillar 3 data products score 46.56 scale 0-100 (2024)
- Military expenditure 216.60 billion current LCU (2018)
- Proportion of seats held by women in national parliaments 17.6% (2025)
- Internally displaced persons, new displacement associated with disaste 200 number of cases (2022)
- Arms exports 243.00 million SIPRI trend indicator values (2024)
Frequently asked questions
- What is statistical performance indicators (spi): pillar 1 data use score in North Korea?
- Statistical performance indicators (spi): pillar 1 data use score in North Korea was 10 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 North Korea?
- The highest recorded value was 20 scale 0-100 in 2015.
- What is the lowest statistical performance indicators (spi): pillar 1 data use score recorded in North Korea?
- The lowest recorded value was 0 scale 0-100 in 2004.
- How does North Korea rank for statistical performance indicators (spi): pillar 1 data use score?
- North Korea ranks 216th out of 217 countries with data for 2024.
- Where does this North Korea 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.