Sao Tome and Principe vs Syrian Arab Republic: Trading across borders: Time to import: Border compliance (hours)
Trading across borders: Time to import: Border compliance (hours) over time
- Sao Tome and Principe
- Syrian Arab Republic
How they compare
Syrian Arab Republic currently reports 49.7 against 46.59 in Sao Tome and Principe, a difference of 3.11.
That makes Syrian Arab Republic's figure about 1.1 times Sao Tome and Principe's.
Across all 6 years both countries report, Syrian Arab Republic has been ahead every year.
Sao Tome and Principe ranks 170th and Syrian Arab Republic ranks 167th of 191 countries.
Syrian Arab Republic has averaged higher in every one of the 1 decades both report.
Frequently asked questions
- Which has higher trading across borders: time to import: border compliance (hours), Sao Tome and Principe or Syrian Arab Republic?
- Syrian Arab Republic, at 49.7 against 46.59 in Sao Tome and Principe as of 2019.
- What is the difference in trading across borders: time to import: border compliance (hours) between Sao Tome and Principe and Syrian Arab Republic?
- 3.11, with Syrian Arab Republic ahead.
- How many years of comparable data are there for Sao Tome and Principe and Syrian Arab Republic?
- 6 years are reported by both, from 2014 to 2019.
- How do Sao Tome and Principe and Syrian Arab Republic rank globally for trading across borders: time to import: border compliance (hours)?
- Sao Tome and Principe ranks 170th and Syrian Arab Republic ranks 167th of 191 countries.
- Where does this data come from?
- The World Bank, published as Trading across borders: Time to import: Border compliance (hours) (DB16-20 methodology) - Score. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
The score for the time for border compliance to import benchmarks economies with respect to the regulatory best practice on the indicator. The score ranges from 0 to 100, where 0 represents the worst regulatory performance and 100 the best regulatory performance, and is computed based on the methodology in the DB16-20 studies.