Ecuador vs Panama: Trading across borders: Time to import: Border compliance (hours) (DB1

Ecuador
91.76
in 2019
Panama
91.76
in 2019
Ecuador rank
58th
Panama rank
58th

Trading across borders: Time to import: Border compliance (hours) (DB1 over time

  • Ecuador
  • Panama
020406080100201420162019

How they compare

Ecuador currently reports 91.76 against 91.76 in Panama, a difference of 0.

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

Ecuador ranks 58th and Panama ranks 58th of 188 countries.

Frequently asked questions

Which has higher trading across borders: time to import: border compliance (hours) (db1, Ecuador or Panama?
Ecuador, at 91.76 against 91.76 in Panama as of 2019.
What is the difference in trading across borders: time to import: border compliance (hours) (db1 between Ecuador and Panama?
0, with Ecuador ahead.
How many years of comparable data are there for Ecuador and Panama?
6 years are reported by both, from 2014 to 2019.
How do Ecuador and Panama rank globally for trading across borders: time to import: border compliance (hours) (db1?
Ecuador ranks 58th and Panama ranks 58th of 188 countries.
Where does this data come from?
The World Bank, published as Trading across borders: Time to import: 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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Ecuador vs Panama: Trading across borders: Time to import: Border compliance (hours) (DB1. Statizoid. Retrieved 16 August 2026, from https://reference.statizoid.com/compare/trading-across-borders-time-to-import-border-compliance-hours-db16-20-methodology-score/ecuador/panama/

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About this data

Indicator
Trading across borders: Time to import: Border compliance (hours) (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 time 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.