Brunei Darussalam vs Saint Vincent and the Grenadines: Trading across borders: Time to import: Border compliance (hours)
Brunei Darussalam
83.15
in 2019
Saint Vincent and the Grenadines
83.15
in 2019
Brunei Darussalam rank
88th
Saint Vincent and the Grenadines rank
88th
Trading across borders: Time to import: Border compliance (hours) over time
- Brunei Darussalam
- Saint Vincent and the Grenadines
How they compare
Brunei Darussalam currently reports 83.15 against 83.15 in Saint Vincent and the Grenadines, a difference of 0.
Across all 6 years both countries report, Saint Vincent and the Grenadines has been ahead every year.
Brunei Darussalam ranks 88th and Saint Vincent and the Grenadines ranks 88th of 191 countries.
Frequently asked questions
- Which has higher trading across borders: time to import: border compliance (hours), Brunei Darussalam or Saint Vincent and the Grenadines?
- Brunei Darussalam, at 83.15 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 Brunei Darussalam and Saint Vincent and the Grenadines?
- 0, with Brunei Darussalam ahead.
- How many years of comparable data are there for Brunei Darussalam and Saint Vincent and the Grenadines?
- 6 years are reported by both, from 2014 to 2019.
- How do Brunei Darussalam and Saint Vincent and the Grenadines rank globally for trading across borders: time to import: border compliance (hours)?
- Brunei Darussalam ranks 88th 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.