Niger vs Venezuela: Trading across borders: Time to import (days) (DB06-15 methodology)

Niger
8.06
in 2014
Venezuela
0
in 2014
Niger rank
170th
Venezuela rank
172nd

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

  • Niger
  • Venezuela
010203040200520092014

How they compare

Niger currently reports 8.06 against 0 in Venezuela, a difference of 8.06.

The two have swapped places 1 time across 10 shared years of data; in 2005 it was Venezuela ahead.

Niger ranks 170th and Venezuela ranks 172nd of 181 countries.

Across the 2 decades both report, Niger averaged higher in 1 and Venezuela in 1.

Head to head by decade

Decade Niger Venezuela Difference Ahead
2000s 0 8.06 8.06 Venezuela
2010s 3.55 0 3.55 Niger

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), Niger or Venezuela?
Niger, at 8.06 against 0 in Venezuela as of 2014.
What is the difference in trading across borders: time to import (days) (db06-15 methodology) between Niger and Venezuela?
8.06, with Niger ahead.
How many years of comparable data are there for Niger and Venezuela?
10 years are reported by both, from 2005 to 2014.
How do Niger and Venezuela rank globally for trading across borders: time to import (days) (db06-15 methodology)?
Niger ranks 170th and Venezuela 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.