Saint Kitts and Nevis vs United Arab Emirates: Trading across borders: Time to export: Border compliance (hours)
Saint Kitts and Nevis
83.65
in 2019
United Arab Emirates
83.65
in 2019
Saint Kitts and Nevis rank
72nd
United Arab Emirates rank
72nd
Trading across borders: Time to export: Border compliance (hours) over time
- Saint Kitts and Nevis
- United Arab Emirates
How they compare
Saint Kitts and Nevis currently reports 83.65 against 83.65 in United Arab Emirates, a difference of 0.
Across all 6 years both countries report, United Arab Emirates has been ahead every year.
Saint Kitts and Nevis ranks 72nd and United Arab Emirates ranks 72nd of 191 countries.
Frequently asked questions
- Which has higher trading across borders: time to export: border compliance (hours), Saint Kitts and Nevis or United Arab Emirates?
- Saint Kitts and Nevis, at 83.65 against 83.65 in United Arab Emirates as of 2019.
- What is the difference in trading across borders: time to export: border compliance (hours) between Saint Kitts and Nevis and United Arab Emirates?
- 0, with Saint Kitts and Nevis ahead.
- How many years of comparable data are there for Saint Kitts and Nevis and United Arab Emirates?
- 6 years are reported by both, from 2014 to 2019.
- How do Saint Kitts and Nevis and United Arab Emirates rank globally for trading across borders: time to export: border compliance (hours)?
- Saint Kitts and Nevis ranks 72nd and United Arab Emirates ranks 72nd of 191 countries.
- Where does this data come from?
- The World Bank, published as Trading across borders: Time to export: 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 export 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.