Congo vs Zimbabwe: Trading across borders: Time to export (days) (DB06-15 methodology)

Congo
8.33
in 2014
Zimbabwe
2.08
in 2014
Congo rank
169th
Zimbabwe rank
172nd

Trading across borders: Time to export (days) (DB06-15 methodology) over time

  • Congo
  • Zimbabwe
2468200520092014

How they compare

Congo currently reports 8.33 against 2.08 in Zimbabwe, a difference of 6.25.

That makes Congo's figure about 4.0 times Zimbabwe's.

Across all 10 years both countries report, Congo has been ahead every year.

Congo ranks 169th and Zimbabwe ranks 172nd of 181 countries.

Congo has averaged higher in every one of the 2 decades both report.

Head to head by decade

Decade Congo Zimbabwe Difference Ahead
2000s 8.33 3.33 5 Congo
2010s 8.33 2.08 6.25 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), Congo or Zimbabwe?
Congo, at 8.33 against 2.08 in Zimbabwe as of 2014.
What is the difference in trading across borders: time to export (days) (db06-15 methodology) between Congo and Zimbabwe?
6.25, with Congo ahead.
How many years of comparable data are there for Congo and Zimbabwe?
10 years are reported by both, from 2005 to 2014.
How do Congo and Zimbabwe rank globally for trading across borders: time to export (days) (db06-15 methodology)?
Congo ranks 169th and Zimbabwe ranks 172nd 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

Indicator
Trading across borders: Time to export (days) (DB06-15 methodology) - Score
Source
World Bank
Licence
CC BY 4.0 (World Bank Open Data)
Coverage
183 places, 1,813 data points, 2005–2014
Last refreshed

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.