China (People’s Republic of) vs Ecuador: Trading across borders: Cost to import: Border compliance (USD)
China (People’s Republic of)
79.9
in 2019
Ecuador
79.17
in 2019
China (People’s Republic of) rank
63rd
Ecuador rank
65th
Trading across borders: Cost to import: Border compliance (USD) over time
- China (People’s Republic of)
- Ecuador
How they compare
China (People’s Republic of) currently reports 79.9 against 79.17 in Ecuador, a difference of 0.73.
The two have swapped places 1 time across 6 shared years of data; in 2014 it was Ecuador ahead.
China (People’s Republic of) ranks 63rd and Ecuador ranks 65th of 190 countries.
Ecuador 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), China (People’s Republic of) or Ecuador?
- China (People’s Republic of), at 79.9 against 79.17 in Ecuador as of 2019.
- What is the difference in trading across borders: cost to import: border compliance (usd) between China (People’s Republic of) and Ecuador?
- 0.73, with China (People’s Republic of) ahead.
- How many years of comparable data are there for China (People’s Republic of) and Ecuador?
- 6 years are reported by both, from 2014 to 2019.
- How do China (People’s Republic of) and Ecuador rank globally for trading across borders: cost to import: border compliance (usd)?
- China (People’s Republic of) ranks 63rd and Ecuador ranks 65th 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.