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Dimension 1.5: Data use by international organizations in Democratic Republic of Congo

Democratic Republic of Congo: Dimension 1.5: Data use by international organizations was 0.7 in 2023. ▲ Rising

Latest (2023)
0.7
Change on year
unchanged
World rank
134th
of 214 countries
All-time high
0.734
in 2017
All-time low
0.2
in 2004
Years of data
20
2004–2023

Dimension 1.5: Data use by international organizations in Democratic Republic of Congo, 2004–2023

0.20.40.60.82004201320232004: 0.22005: 0.22006: 0.22007: 0.22008: 0.22009: 0.22010: 0.42011: 0.22012: 0.52013: 0.52014: 0.52015: 0.72016: 0.72017: 0.7342018: 0.5342019: 0.62020: 0.72021: 0.72022: 0.72023: 0.7

Source: Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators).

Analysis

In 2023, dimension 1.5: data use by international organizations in Democratic Republic of Congo stood at 0.7.

Compared with earlier readings it is up 40.0% over ten years.

Over the whole period, dimension 1.5: data use by international organizations in Democratic Republic of Congo peaked at 0.734 in 2017 and was at its lowest, 0.2, in 2004.

That places Democratic Republic of Congo 134th out of 214 countries with data for 2023, putting it in the middle of the range.

The long-run direction has been consistently rising across the 20 years of available data.

Averages by decade

DecadeAverage LowestHighest Years
2000s 0.2 0.2 0.2 6
2010s 0.5368 0.2 0.734 10
2020s 0.7 0.7 0.7 4

Countries ranked near Democratic Republic of Congo

  1. 133 China 0.734 compare
  2. 134 Belize 0.7 compare
  3. 134 Bosnia and Herzegovina 0.7 compare
  4. 134 Burundi 0.7 compare
  5. 134 Grenada 0.7 compare
  6. 134 Maldives 0.7 compare
  7. 134 Mozambique 0.7 compare
  8. 134 Oman 0.7 compare
  9. 134 San Marino 0.7 compare
  10. 134 Saudi Arabia 0.7 compare
  11. 134 Saint Lucia 0.7 compare

See the full ranking of 217 places →

More reference data data for Democratic Republic of Congo

All data for Democratic Republic of Congo →

Frequently asked questions

What is dimension 1.5: data use by international organizations in Democratic Republic of Congo?
Dimension 1.5: data use by international organizations in Democratic Republic of Congo was 0.7 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 Democratic Republic of Congo?
The highest recorded value was 0.734 in 2017.
What is the lowest dimension 1.5: data use by international organizations recorded in Democratic Republic of Congo?
The lowest recorded value was 0.2 in 2004.
How does Democratic Republic of Congo rank for dimension 1.5: data use by international organizations?
Democratic Republic of Congo ranks 134th out of 214 countries with data for 2023.
Is dimension 1.5: data use by international organizations rising or falling in Democratic Republic of Congo?
Over the last ten years it is up 40.0%. The long-run trend across the full record is rising.
Where does this Democratic Republic of Congo 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

Indicator
Dimension 1.5: Data use by international organizations
Source
Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators)
Licence
CC BY 4.0 (World Bank Open Data)
Coverage
217 places, 4,340 data points, 2004–2023
Last refreshed

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