Bahrain vs Saint Vincent and the Grenadines: Trading across borders: Time to import: Border compliance (hours)
Bahrain
85.3
in 2019
Saint Vincent and the Grenadines
83.15
in 2019
Bahrain rank
85th
Saint Vincent and the Grenadines rank
88th
Trading across borders: Time to import: Border compliance (hours) over time
- Bahrain
- Saint Vincent and the Grenadines
How they compare
Bahrain currently reports 85.3 against 83.15 in Saint Vincent and the Grenadines, a difference of 2.15.
The two have swapped places 1 time across 6 shared years of data; in 2014 it was Saint Vincent and the Grenadines ahead.
Bahrain ranks 85th and Saint Vincent and the Grenadines ranks 88th of 191 countries.
Saint Vincent and the Grenadines 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), Bahrain or Saint Vincent and the Grenadines?
- Bahrain, at 85.3 against 83.15 in Saint Vincent and the Grenadines as of 2019.
- What is the difference in trading across borders: time to import: border compliance (hours) between Bahrain and Saint Vincent and the Grenadines?
- 2.15, with Bahrain ahead.
- How many years of comparable data are there for Bahrain and Saint Vincent and the Grenadines?
- 6 years are reported by both, from 2014 to 2019.
- How do Bahrain and Saint Vincent and the Grenadines rank globally for trading across borders: time to import: border compliance (hours)?
- Bahrain ranks 85th and Saint Vincent and the Grenadines ranks 88th 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.