British Virgin Islands vs Syrian Arab Republic: Dimension 1.5: Data use by international organizations

British Virgin Islands
0.4
in 2023
Syrian Arab Republic
0.466
in 2023
British Virgin Islands rank
190th
Syrian Arab Republic rank
187th

Dimension 1.5: Data use by international organizations over time

  • British Virgin Islands
  • Syrian Arab Republic
00.20.40.6200420132023

How they compare

Syrian Arab Republic currently reports 0.466 against 0.4 in British Virgin Islands, a difference of 0.066.

That makes Syrian Arab Republic's figure about 1.2 times British Virgin Islands's.

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

British Virgin Islands ranks 190th and Syrian Arab Republic ranks 187th of 217 countries.

Syrian Arab Republic has averaged higher in every one of the 3 decades both report.

Head to head by decade

Decade British Virgin Islands Syrian Arab Republic Difference Ahead
2000s 0 0.3167 0.3167 Syrian Arab Republic
2010s 0.18 0.3864 0.2064 Syrian Arab Republic
2020s 0.4 0.416 0.016 Syrian Arab Republic

Averages of every year both report within each decade.

Frequently asked questions

Which has higher dimension 1.5: data use by international organizations, British Virgin Islands or Syrian Arab Republic?
Syrian Arab Republic, at 0.466 against 0.4 in British Virgin Islands as of 2023.
What is the difference in dimension 1.5: data use by international organizations between British Virgin Islands and Syrian Arab Republic?
0.066, with Syrian Arab Republic ahead.
How many years of comparable data are there for British Virgin Islands and Syrian Arab Republic?
20 years are reported by both, from 2004 to 2023.
How do British Virgin Islands and Syrian Arab Republic rank globally for dimension 1.5: data use by international organizations?
British Virgin Islands ranks 190th and Syrian Arab Republic ranks 187th of 217 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.

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British Virgin Islands vs Syrian Arab Republic: 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 19 August 2026, from https://reference.statizoid.com/compare/dimension-1-5-data-use-by-international-organizations/british-virgin-islands/syrian-arab-republic/

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<a href="https://reference.statizoid.com/compare/dimension-1-5-data-use-by-international-organizations/british-virgin-islands/syrian-arab-republic/">British Virgin Islands vs Syrian Arab Republic: 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
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