Venezuela vs Yemen: Dimension 5.2: Standards and Methods
Dimension 5.2: Standards and Methods over time
- Venezuela
- Yemen
How they compare
Venezuela currently reports 0.25 against 0.25 in Yemen, a difference of 0.
The two have swapped places 2 times across 8 shared years of data; in 2016 it was Yemen ahead.
Venezuela ranks 180th and Yemen ranks 180th of 188 countries.
Venezuela has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Venezuela | Yemen | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 0.25 | 0.25 | 0 | — |
| 2020s | 0.25 | 0.2125 | 0.0375 | Venezuela |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher dimension 5.2: standards and methods, Venezuela or Yemen?
- Venezuela, at 0.25 against 0.25 in Yemen as of 2023.
- What is the difference in dimension 5.2: standards and methods between Venezuela and Yemen?
- 0, with Venezuela ahead.
- How many years of comparable data are there for Venezuela and Yemen?
- 8 years are reported by both, from 2016 to 2023.
- How do Venezuela and Yemen rank globally for dimension 5.2: standards and methods?
- Venezuela ranks 180th and Yemen ranks 180th of 188 countries.
- Where does this data come from?
- Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators), published as Dimension 5.2: Standards and Methods. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
Average score for Standards and Methods indicators. Internationally accepted and recommended methodology, classifications and standards provide the basis for national statistical offices (NSOs) on data integration, facilitating data exchange and providing the foundation for the preparation of relevant statistical indicators. The following methods and standards are considered: System of national accounts in use, National Accounts base year, Classification of national industry, CPI base year, Classification of household consumption, Classification of status of employment, Central government accounting status, Compilation of government finance statistics, Compilation of monetary and financial statistics, Business process. . Further work could improve the validity of this indicator and reduce the risk that countries may be incentivized to adopt only traditional standards and methods and neglect innovative solutions that may be more valid in the current context.