China (People's Republic of) vs Peru: Trading across borders: Cost to import: Documentary compliance (USD)
China (People's Republic of)
88.96
in 2019
Peru
88.57
in 2019
China (People's Republic of) rank
78th
Peru rank
79th
Trading across borders: Cost to import: Documentary compliance (USD) over time
- China (People's Republic of)
- Peru
How they compare
China (People's Republic of) currently reports 88.96 against 88.57 in Peru, a difference of 0.39.
The two have swapped places 1 time across 6 shared years of data; in 2014 it was Peru ahead.
China (People's Republic of) ranks 78th and Peru ranks 79th of 190 countries.
Peru has averaged higher in every one of the 1 decades both report.
Frequently asked questions
- Which has higher trading across borders: cost to import: documentary compliance (usd), China (People's Republic of) or Peru?
- China (People's Republic of), at 88.96 against 88.57 in Peru as of 2019.
- What is the difference in trading across borders: cost to import: documentary compliance (usd) between China (People's Republic of) and Peru?
- 0.39, with China (People's Republic of) ahead.
- How many years of comparable data are there for China (People's Republic of) and Peru?
- 6 years are reported by both, from 2014 to 2019.
- How do China (People's Republic of) and Peru rank globally for trading across borders: cost to import: documentary compliance (usd)?
- China (People's Republic of) ranks 78th and Peru ranks 79th of 190 countries.
- Where does this data come from?
- The World Bank, published as Trading across borders: Cost to import: Documentary 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 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.