Statistical performance indicators (SPI): Pillar 1 data use score in Korea, Democratic People's Republic of
Korea, Democratic People's Republic of: Statistical performance indicators (SPI): Pillar 1 data use score was 10 scale 0-100 in 2024. β Volatile
Statistical performance indicators (SPI): Pillar 1 data use score in Korea, Democratic People's Republic of, 2004β2024
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 Korea, Democratic People's Republic of 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 Korea, Democratic People's Republic of peaked at 20 scale 0-100 in 2015 and was at its lowest, 0 scale 0-100, in 2004.
That places Korea, Democratic People's Republic of 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 Korea, Democratic People's Republic of
- 215 Eritrea, The State of 16.6 scale 0-100 compare
- 216 Equatorial Guinea, Republic of 10 scale 0-100 compare
More public sector data for Korea, Democratic People's Republic of
- Arms imports 1.00 million SIPRI trend indicator values (2010)
- Arms imports (SIPRI trend indicator values), per capita 0.04 SIPRI trend indicator values per person (2010)
- Arms imports (SIPRI trend indicator values), annual growth rate -75 % change on previous year (2010)
- Arms imports (SIPRI trend indicator values), gaps filled 1.00 million SIPRI trend indicator values (2010)
- Arms imports (SIPRI trend indicator values), per square kilometre 8.3 SIPRI trend indicator values per square kilometre (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)
Frequently asked questions
- What is statistical performance indicators (spi): pillar 1 data use score in Korea, Democratic People's Republic of?
- Statistical performance indicators (spi): pillar 1 data use score in Korea, Democratic People's Republic of 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 Korea, Democratic People's Republic of?
- 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 Korea, Democratic People's Republic of?
- The lowest recorded value was 0 scale 0-100 in 2004.
- How does Korea, Democratic People's Republic of rank for statistical performance indicators (spi): pillar 1 data use score?
- Korea, Democratic People's Republic of ranks 216th out of 217 countries with data for 2024.
- Where does this Korea, Democratic People's Republic of 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.