Central African Republic vs Congo: Trading across borders: Time to export (days) (DB06-15 methodology)
Trading across borders: Time to export (days) (DB06-15 methodology) over time
- Central African Republic
- Congo
How they compare
Central African Republic currently reports 16.67 against 8.33 in Congo, a difference of 8.34.
That makes Central African Republic's figure about 2.0 times Congo's.
The two have swapped places 1 time across 10 shared years of data; in 2005 it was Congo ahead.
Central African Republic ranks 168th and Congo ranks 169th of 181 countries.
Congo has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Central African Republic | Congo | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 0 | 8.33 | 8.33 | Congo |
| 2010s | 6.67 | 8.33 | 1.67 | Congo |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher trading across borders: time to export (days) (db06-15 methodology), Central African Republic or Congo?
- Central African Republic, at 16.67 against 8.33 in Congo as of 2014.
- What is the difference in trading across borders: time to export (days) (db06-15 methodology) between Central African Republic and Congo?
- 8.34, with Central African Republic ahead.
- How many years of comparable data are there for Central African Republic and Congo?
- 10 years are reported by both, from 2005 to 2014.
- How do Central African Republic and Congo rank globally for trading across borders: time to export (days) (db06-15 methodology)?
- Central African Republic ranks 168th and Congo ranks 169th of 181 countries.
- Where does this data come from?
- The World Bank, published as Trading across borders: Time to export (days) (DB06-15 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 time 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 DB06-15 studies.