Bolivia, Plurinational State of vs Djibouti: Trading across borders: Time to import: Border compliance (hours)
Bolivia, Plurinational State of
59.5
in 2019
Djibouti
58.06
in 2019
Bolivia, Plurinational State of rank
156th
Djibouti rank
157th
Trading across borders: Time to import: Border compliance (hours) over time
- Bolivia, Plurinational State of
- Djibouti
How they compare
Bolivia, Plurinational State of currently reports 59.5 against 58.06 in Djibouti, a difference of 1.44.
Across all 6 years both countries report, Bolivia, Plurinational State of has been ahead every year.
Bolivia, Plurinational State of ranks 156th and Djibouti ranks 157th of 191 countries.
Bolivia, Plurinational State of 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), Bolivia, Plurinational State of or Djibouti?
- Bolivia, Plurinational State of, at 59.5 against 58.06 in Djibouti as of 2019.
- What is the difference in trading across borders: time to import: border compliance (hours) between Bolivia, Plurinational State of and Djibouti?
- 1.44, with Bolivia, Plurinational State of ahead.
- How many years of comparable data are there for Bolivia, Plurinational State of and Djibouti?
- 6 years are reported by both, from 2014 to 2019.
- How do Bolivia, Plurinational State of and Djibouti rank globally for trading across borders: time to import: border compliance (hours)?
- Bolivia, Plurinational State of ranks 156th and Djibouti ranks 157th 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.