Grenada vs Oman: Dimension 1.5: Data use by international organizations

Grenada
0.7
in 2023
Oman
0.7
in 2023
Grenada rank
134th
Oman rank
134th

Dimension 1.5: Data use by international organizations over time

  • Grenada
  • Oman
00.20.40.6200420132023

How they compare

Grenada currently reports 0.7 against 0.7 in Oman, a difference of 0.

The two have swapped places 2 times across 20 shared years of data; in 2004 it was Oman ahead.

Grenada ranks 134th and Oman ranks 134th of 214 countries.

Oman has averaged higher in every one of the 3 decades both report.

Head to head by decade

Decade Grenada Oman Difference Ahead
2000s 0.1 0.2 0.1 Oman
2010s 0.41 0.48 0.07 Oman
2020s 0.7 0.7 0

Averages of every year both report within each decade.

Frequently asked questions

Which has higher dimension 1.5: data use by international organizations, Grenada or Oman?
Grenada, at 0.7 against 0.7 in Oman as of 2023.
What is the difference in dimension 1.5: data use by international organizations between Grenada and Oman?
0, with Grenada ahead.
How many years of comparable data are there for Grenada and Oman?
20 years are reported by both, from 2004 to 2023.
How do Grenada and Oman rank globally for dimension 1.5: data use by international organizations?
Grenada ranks 134th and Oman ranks 134th of 214 countries.
Where does this data come from?
Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators), published as Dimension 1.5: Data use by international organizations. Statizoid refreshes it automatically from the source and publishes the full history for both places.

Individual pages

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