Laos vs Togo: Dimension 1.5: Data use by international organizations

Laos
0.9
in 2023
Togo
0.9
in 2023
Laos rank
66th
Togo rank
66th

Dimension 1.5: Data use by international organizations over time

  • Laos
  • Togo
0.20.40.60.81200420132023

How they compare

Laos currently reports 0.9 against 0.9 in Togo, a difference of 0.

The two have swapped places 3 times across 20 shared years of data; in 2004 it was Laos ahead.

Laos ranks 66th and Togo ranks 66th of 214 countries.

Across the 3 decades both report, Laos averaged higher in 2 and Togo in 1.

Head to head by decade

Decade Laos Togo Difference Ahead
2000s 0.3167 0.2 0.1167 Laos
2010s 0.57 0.56 0.01 Laos
2020s 0.7995 0.9 0.1005 Togo

Averages of every year both report within each decade.

Frequently asked questions

Which has higher dimension 1.5: data use by international organizations, Laos or Togo?
Laos, at 0.9 against 0.9 in Togo as of 2023.
What is the difference in dimension 1.5: data use by international organizations between Laos and Togo?
0, with Laos ahead.
How many years of comparable data are there for Laos and Togo?
20 years are reported by both, from 2004 to 2023.
How do Laos and Togo rank globally for dimension 1.5: data use by international organizations?
Laos ranks 66th and Togo ranks 66th 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