Comoros vs Tonga: Trading across borders: Time to export: Border compliance (hours)

Comoros
68.67
in 2019
Tonga
67.92
in 2019
Comoros rank
108th
Tonga rank
111th

Trading across borders: Time to export: Border compliance (hours) over time

  • Comoros
  • Tonga
0204060201420162019

How they compare

Comoros currently reports 68.67 against 67.92 in Tonga, a difference of 0.75.

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

Comoros ranks 108th and Tonga ranks 111th of 191 countries.

Comoros has averaged higher in every one of the 1 decades both report.

Frequently asked questions

Which has higher trading across borders: time to export: border compliance (hours), Comoros or Tonga?
Comoros, at 68.67 against 67.92 in Tonga as of 2019.
What is the difference in trading across borders: time to export: border compliance (hours) between Comoros and Tonga?
0.75, with Comoros ahead.
How many years of comparable data are there for Comoros and Tonga?
6 years are reported by both, from 2014 to 2019.
How do Comoros and Tonga rank globally for trading across borders: time to export: border compliance (hours)?
Comoros ranks 108th and Tonga ranks 111th of 191 countries.
Where does this data come from?
The World Bank, published as Trading across borders: Time to export: Border compliance (hours) (DB16-20 methodology) - Score. Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Comoros vs Tonga: Trading across borders: Time to export: Border compliance (hours). Statizoid. Retrieved 29 September 2026, from https://reference.statizoid.com/compare/trading-across-borders-time-to-export-border-compliance-hours-db16-20-methodology-score/comoros/tonga/

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About this data

Indicator
Trading across borders: Time to export: Border compliance (hours) (DB16-20 methodology) - Score
Source
World Bank
Licence
CC BY 4.0 (World Bank Open Data)
Coverage
191 places, 1,145 data points, 2014–2019
Last refreshed

The score for the time 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.