Saint Vincent and the Grenadines vs Taiwan: Trading across borders: Time to import: Border compliance (hours)
Saint Vincent and the Grenadines
83.15
in 2019
Taiwan
83.37
in 2019
Saint Vincent and the Grenadines rank
88th
Taiwan rank
87th
Trading across borders: Time to import: Border compliance (hours) over time
- Saint Vincent and the Grenadines
- Taiwan
How they compare
Taiwan currently reports 83.37 against 83.15 in Saint Vincent and the Grenadines, a difference of 0.22.
Across all 6 years both countries report, Taiwan has been ahead every year.
Saint Vincent and the Grenadines ranks 88th and Taiwan ranks 87th of 191 countries.
Taiwan 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), Saint Vincent and the Grenadines or Taiwan?
- Taiwan, at 83.37 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 Saint Vincent and the Grenadines and Taiwan?
- 0.22, with Taiwan ahead.
- How many years of comparable data are there for Saint Vincent and the Grenadines and Taiwan?
- 6 years are reported by both, from 2014 to 2019.
- How do Saint Vincent and the Grenadines and Taiwan rank globally for trading across borders: time to import: border compliance (hours)?
- Saint Vincent and the Grenadines ranks 88th and Taiwan ranks 87th 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.