Kazakhstan vs Zimbabwe: Trading across borders: Time to import (days) (DB06-15 methodology)

Kazakhstan
0
in 2014
Zimbabwe
0
in 2014
Kazakhstan rank
172nd
Zimbabwe rank
172nd

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

  • Kazakhstan
  • Zimbabwe
0246200520092014

How they compare

Kazakhstan currently reports 0 against 0 in Zimbabwe, a difference of 0.

The two have swapped places 2 times across 10 shared years of data; in 2005 it was Zimbabwe ahead.

Kazakhstan ranks 172nd and Zimbabwe ranks 172nd of 181 countries.

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

Head to head by decade

Decade Kazakhstan Zimbabwe Difference Ahead
2000s 0 0 0
2010s 2.58 0 2.58 Kazakhstan

Averages of every year both report within each decade.

Frequently asked questions

Which has higher trading across borders: time to import (days) (db06-15 methodology), Kazakhstan or Zimbabwe?
Kazakhstan, at 0 against 0 in Zimbabwe as of 2014.
What is the difference in trading across borders: time to import (days) (db06-15 methodology) between Kazakhstan and Zimbabwe?
0, with Kazakhstan ahead.
How many years of comparable data are there for Kazakhstan and Zimbabwe?
10 years are reported by both, from 2005 to 2014.
How do Kazakhstan and Zimbabwe rank globally for trading across borders: time to import (days) (db06-15 methodology)?
Kazakhstan ranks 172nd and Zimbabwe ranks 172nd of 181 countries.
Where does this data come from?
The World Bank, published as Trading across borders: Time to import (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 import (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 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 DB06-15 studies.