Malta vs Zambia: Trading across borders: Cost to export: Border compliance (USD)

Malta
65.09
in 2019
Zambia
65.09
in 2019
Malta rank
110th
Zambia rank
110th

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

  • Malta
  • Zambia
0204060201420162019

How they compare

Malta currently reports 65.09 against 65.09 in Zambia, a difference of 0.

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

Malta ranks 110th and Zambia ranks 110th of 190 countries.

Frequently asked questions

Which has higher trading across borders: cost to export: border compliance (usd), Malta or Zambia?
Malta, at 65.09 against 65.09 in Zambia as of 2019.
What is the difference in trading across borders: cost to export: border compliance (usd) between Malta and Zambia?
0, with Malta ahead.
How many years of comparable data are there for Malta and Zambia?
6 years are reported by both, from 2014 to 2019.
How do Malta and Zambia rank globally for trading across borders: cost to export: border compliance (usd)?
Malta ranks 110th and Zambia ranks 110th of 190 countries.
Where does this data come from?
The World Bank, published as Trading across borders: Cost to export: 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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Malta vs Zambia: Trading across borders: Cost to export: Border compliance (USD). Statizoid. Retrieved 18 August 2026, from https://reference.statizoid.com/compare/trading-across-borders-cost-to-export-border-compliance-usd-db16-20-methodology-score/malta/zambia/

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About this data

Indicator
Trading across borders: Cost to export: 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 export 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.