Central African Republic vs Liechtenstein: Dimension 1.5: Data use by international organizations

Central African Republic
0.5
in 2023
Liechtenstein
0.5
in 2023
Central African Republic rank
176th
Liechtenstein rank
176th

Dimension 1.5: Data use by international organizations over time

  • Central African Republic
  • Liechtenstein
00.10.20.30.40.5200420132023

How they compare

Central African Republic currently reports 0.5 against 0.5 in Liechtenstein, a difference of 0.

The two have swapped places 1 time across 20 shared years of data; in 2004 it was Central African Republic ahead.

Central African Republic ranks 176th and Liechtenstein ranks 176th of 218 countries.

Across the 3 decades both report, Central African Republic averaged higher in 1 and Liechtenstein in 1.

Head to head by decade

Decade Central African Republic Liechtenstein Difference Ahead
2000s 0.2 0 0.2 Central African Republic
2010s 0.18 0.28 0.1 Liechtenstein
2020s 0.5 0.5 0 —

Averages of every year both report within each decade.

Frequently asked questions

Which has higher dimension 1.5: data use by international organizations, Central African Republic or Liechtenstein?
Central African Republic, at 0.5 against 0.5 in Liechtenstein as of 2023.
What is the difference in dimension 1.5: data use by international organizations between Central African Republic and Liechtenstein?
0, with Central African Republic ahead.
How many years of comparable data are there for Central African Republic and Liechtenstein?
20 years are reported by both, from 2004 to 2023.
How do Central African Republic and Liechtenstein rank globally for dimension 1.5: data use by international organizations?
Central African Republic ranks 176th and Liechtenstein ranks 176th of 218 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

Share, cite or embed this page

Cite this page

Central African Republic vs Liechtenstein: Dimension 1.5: Data use by international organizations. Statizoid, drawing on Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators). Retrieved 29 September 2026, from https://reference.statizoid.com/compare/dimension-1-5-data-use-by-international-organizations/central-african-republic/liechtenstein/

Embed or link this data

Paste this into a page to link back to these figures. The data itself is free to reuse under CC BY 4.0 (World Bank Open Data); please keep the attribution.

<a href="https://reference.statizoid.com/compare/dimension-1-5-data-use-by-international-organizations/central-african-republic/liechtenstein/">Central African Republic vs Liechtenstein: Dimension 1.5: Data use by international organizations</a> — Statizoid

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
219 places, 4,380 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