Micronesia, Federated States of vs Paraguay: Trading across borders: Time to import: Documentary compliance
Micronesia, Federated States of
85.77
in 2019
Paraguay
85.36
in 2019
Micronesia, Federated States of rank
95th
Paraguay rank
96th
Trading across borders: Time to import: Documentary compliance over time
- Micronesia, Federated States of
- Paraguay
How they compare
Micronesia, Federated States of currently reports 85.77 against 85.36 in Paraguay, a difference of 0.41.
Across all 6 years both countries report, Micronesia, Federated States of has been ahead every year.
Micronesia, Federated States of ranks 95th and Paraguay ranks 96th of 190 countries.
Micronesia, Federated States 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: documentary compliance, Micronesia, Federated States of or Paraguay?
- Micronesia, Federated States of, at 85.77 against 85.36 in Paraguay as of 2019.
- What is the difference in trading across borders: time to import: documentary compliance between Micronesia, Federated States of and Paraguay?
- 0.41, with Micronesia, Federated States of ahead.
- How many years of comparable data are there for Micronesia, Federated States of and Paraguay?
- 6 years are reported by both, from 2014 to 2019.
- How do Micronesia, Federated States of and Paraguay rank globally for trading across borders: time to import: documentary compliance?
- Micronesia, Federated States of ranks 95th and Paraguay ranks 96th of 190 countries.
- Where does this data come from?
- The World Bank, published as Trading across borders: Time to import: Documentary 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 documentary 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.