Lao People's Democratic Republic vs Mozambique: Trading across borders: Time to import: Border compliance (hours)
Lao People's Democratic Republic
96.59
in 2019
Mozambique
97.13
in 2019
Lao People's Democratic Republic rank
53rd
Mozambique rank
51st
Trading across borders: Time to import: Border compliance (hours) over time
- Lao People's Democratic Republic
- Mozambique
How they compare
Mozambique currently reports 97.13 against 96.59 in Lao People's Democratic Republic, a difference of 0.54.
The two have swapped places 1 time across 6 shared years of data; in 2014 it was Lao People's Democratic Republic ahead.
Lao People's Democratic Republic ranks 53rd and Mozambique ranks 51st of 190 countries.
Mozambique 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), Lao People's Democratic Republic or Mozambique?
- Mozambique, at 97.13 against 96.59 in Lao People's Democratic Republic as of 2019.
- What is the difference in trading across borders: time to import: border compliance (hours) between Lao People's Democratic Republic and Mozambique?
- 0.54, with Mozambique ahead.
- How many years of comparable data are there for Lao People's Democratic Republic and Mozambique?
- 6 years are reported by both, from 2014 to 2019.
- How do Lao People's Democratic Republic and Mozambique rank globally for trading across borders: time to import: border compliance (hours)?
- Lao People's Democratic Republic ranks 53rd and Mozambique ranks 51st of 190 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.