Colombia vs Mali: Trading across borders: Cost to import: Border compliance (USD)

Colombia
54.58
in 2019
Mali
54.58
in 2019
Colombia rank
123rd
Mali rank
123rd

Trading across borders: Cost to import: Border compliance (USD) over time

  • Colombia
  • Mali
0204060201420162019

How they compare

Colombia currently reports 54.58 against 54.58 in Mali, a difference of 0.

Across all 6 years both countries report, Mali has been ahead every year.

Colombia ranks 123rd and Mali ranks 123rd of 190 countries.

Frequently asked questions

Which has higher trading across borders: cost to import: border compliance (usd), Colombia or Mali?
Colombia, at 54.58 against 54.58 in Mali as of 2019.
What is the difference in trading across borders: cost to import: border compliance (usd) between Colombia and Mali?
0, with Colombia ahead.
How many years of comparable data are there for Colombia and Mali?
6 years are reported by both, from 2014 to 2019.
How do Colombia and Mali rank globally for trading across borders: cost to import: border compliance (usd)?
Colombia ranks 123rd and Mali ranks 123rd 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.

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Colombia vs Mali: Trading across borders: Cost to import: Border compliance (USD). Statizoid. Retrieved 20 August 2026, from https://reference.statizoid.com/compare/trading-across-borders-cost-to-import-border-compliance-usd-db16-20-methodology-score/colombia/mali/

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About this data

Indicator
Trading across borders: Cost to import: Border compliance (USD) (DB16-20 methodology) - Score
Source
World Bank
Licence
CC BY 4.0 (World Bank Open Data)
Coverage
190 places, 1,139 data points, 2014–2019
Last refreshed

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.