Micronesia, Federated States of vs Nepal: Trading across borders: Cost to import: Border compliance (USD)
Micronesia, Federated States of
85
in 2019
Nepal
84.17
in 2019
Micronesia, Federated States of rank
51st
Nepal rank
52nd
Trading across borders: Cost to import: Border compliance (USD) over time
- Micronesia, Federated States of
- Nepal
How they compare
Micronesia, Federated States of currently reports 85 against 84.17 in Nepal, a difference of 0.83.
The two have swapped places 1 time across 6 shared years of data; in 2014 it was Nepal ahead.
Micronesia, Federated States of ranks 51st and Nepal ranks 52nd of 190 countries.
Nepal has averaged higher in every one of the 1 decades both report.
Frequently asked questions
- Which has higher trading across borders: cost to import: border compliance (usd), Micronesia, Federated States of or Nepal?
- Micronesia, Federated States of, at 85 against 84.17 in Nepal as of 2019.
- What is the difference in trading across borders: cost to import: border compliance (usd) between Micronesia, Federated States of and Nepal?
- 0.83, with Micronesia, Federated States of ahead.
- How many years of comparable data are there for Micronesia, Federated States of and Nepal?
- 6 years are reported by both, from 2014 to 2019.
- How do Micronesia, Federated States of and Nepal rank globally for trading across borders: cost to import: border compliance (usd)?
- Micronesia, Federated States of ranks 51st and Nepal ranks 52nd of 190 countries.
- Where does this data come from?
- The World Bank, published as Trading across borders: Cost to import: Border compliance (USD) (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 cost 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.