Dimension 1.5: Data use by international organizations in North Korea
North Korea: Dimension 1.5: Data use by international organizations was 0.1 in 2023. ◆ Volatile
Dimension 1.5: Data use by international organizations in North Korea, 2004–2023
Source: Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators).
Analysis
The most recent figure for dimension 1.5: data use by international organizations in North Korea is 0.1, measured in 2023.
That represents a change of unchanged over five years.
Over the whole period, dimension 1.5: data use by international organizations in North Korea peaked at 0.2 in 2015 and was at its lowest, 0, in 2004.
North Korea ranks 218th of 218 countries on this measure, in the bottom quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Dimension 1.5: Data use by international organizations in North Korea, year by year
| Year | Value | Change |
|---|---|---|
| 2004 | 0 | — |
| 2005 | 0 | — |
| 2006 | 0 | — |
| 2007 | 0 | — |
| 2008 | 0 | — |
| 2009 | 0 | — |
| 2010 | 0 | — |
| 2011 | 0 | — |
| 2012 | 0 | — |
| 2013 | 0 | — |
| 2014 | 0 | — |
| 2015 | 0.2 | — |
| 2016 | 0.1 | -50.0% |
| 2017 | 0.1 | +0.0% |
| 2018 | 0.1 | +0.0% |
| 2019 | 0.1 | +0.0% |
| 2020 | 0.1 | +0.0% |
| 2021 | 0.1 | +0.0% |
| 2022 | 0.1 | +0.0% |
| 2023 | 0.1 | +0.0% |
North Korea compared with similar countries
- North Korea's 0.1 is below the median for low income countries, which is 0.8, 12% of the median. (25 countries reporting)
- North Korea's 0.1 is below the median for East Asia & Pacific, which is 0.734, 14% of the median. (37 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 0 | 0 | 0 | 6 |
| 2010s | 0.06 | 0 | 0.2 | 10 |
| 2020s | 0.1 | 0.1 | 0.1 | 4 |
Countries ranked near North Korea
- 216 Libya 0.2 compare
- 216 Micronesia (country) 0.2 compare
More reference data data for North Korea
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 1.75 (2050)
- Emission Totals - Emissions (CH4) - Burning - Crop residues 3.54 (2050)
- Emission Totals - Direct emissions (N2O) - Manure applied to Soils 0.838 (2050)
- Emission Totals - Direct emissions (N2O) - IPCC Agriculture 5.57 (2050)
- Emission Totals - Direct emissions (N2O) - Crop Residues 1.91 (2050)
- Emission Totals - Emissions (CO2eq) from CH4 (AR5) - IPCC Agriculture 6,873 (2050)
- Emission Totals - Emissions (CO2eq) from CH4 (AR5) - Manure Management 325.47 (2050)
- Emission Totals - Emissions (CH4) - Manure Management 11.62 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Agricultural 1,939 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Burning - Crop 24.3 (2050)
Frequently asked questions
- What is dimension 1.5: data use by international organizations in North Korea?
- Dimension 1.5: data use by international organizations in North Korea was 0.1 in 2023, according to Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators).
- What is the highest dimension 1.5: data use by international organizations recorded in North Korea?
- The highest recorded value was 0.2 in 2015.
- What is the lowest dimension 1.5: data use by international organizations recorded in North Korea?
- The lowest recorded value was 0 in 2004.
- How does North Korea rank for dimension 1.5: data use by international organizations?
- North Korea ranks 218th out of 218 countries with data for 2023.
- Where does this North Korea data come from?
- The figures come from Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators), published as part of Dimension 1.5: Data use by international organizations. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 20 observations, free to reuse under CC BY 4.0 (World Bank Open Data).
About this data
Five measures usefulness or reliability of country produced measures for international organizations. First, on comparability of poverty estimates for the World Bank reporting on international poverty (Source: Povcalnet). Second on usable surveys for statistics on child mortality for the UN Inter-agency Group for Child Mortality Estimation (Source: https://childmortality.org/). Third on accuracy of debt reporting as classified by the World Bank (Source: World Bank WDI metadata). Fourth, on availability of safely managed drinking water data for use by JMP. Fifth, on labor force participation data for use by ILO. We recognize that these data sources provide only partial coverage but consider that they do at least provide some indication of the performance of the national statistical system. With more complete data sources it would be possible to assess this further