Azerbaijan vs Venezuela: Trading across borders: Cost to import (US$ per container)(DB06-15)
Azerbaijan
45.28
in 2014
Venezuela
40.93
in 2014
Azerbaijan rank
164th
Venezuela rank
166th
Trading across borders: Cost to import (US$ per container)(DB06-15) over time
- Azerbaijan
- Venezuela
How they compare
Azerbaijan currently reports 45.28 against 40.93 in Venezuela, a difference of 4.35.
That makes Azerbaijan's figure about 1.1 times Venezuela's.
The two have swapped places 1 time across 10 shared years of data; in 2005 it was Venezuela ahead.
Azerbaijan ranks 164th and Venezuela ranks 166th of 183 countries.
Azerbaijan has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Azerbaijan | Venezuela | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 13.38 | 0.4799 | 12.9 | Azerbaijan |
| 2010s | 35.97 | 11.24 | 24.73 | Azerbaijan |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher trading across borders: cost to import (us$ per container)(db06-15), Azerbaijan or Venezuela?
- Azerbaijan, at 45.28 against 40.93 in Venezuela as of 2014.
- What is the difference in trading across borders: cost to import (us$ per container)(db06-15) between Azerbaijan and Venezuela?
- 4.35, with Azerbaijan ahead.
- How many years of comparable data are there for Azerbaijan and Venezuela?
- 10 years are reported by both, from 2005 to 2014.
- How do Azerbaijan and Venezuela rank globally for trading across borders: cost to import (us$ per container)(db06-15)?
- Azerbaijan ranks 164th and Venezuela ranks 166th of 183 countries.
- Where does this data come from?
- The World Bank, published as Trading across borders: Cost to import (US$ per container)(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 cost 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.