Kyrgyzstan vs Zimbabwe: Trading across borders: Cost to export (US$ per container) (DB06-15)
Kyrgyzstan
5.23
in 2014
Zimbabwe
16.01
in 2014
Kyrgyzstan rank
176th
Zimbabwe rank
174th
Trading across borders: Cost to export (US$ per container) (DB06-15) over time
- Kyrgyzstan
- Zimbabwe
How they compare
Zimbabwe currently reports 16.01 against 5.23 in Kyrgyzstan, a difference of 10.78.
That makes Zimbabwe's figure about 3.1 times Kyrgyzstan's.
The two have swapped places 2 times across 10 shared years of data; in 2005 it was Zimbabwe ahead.
Kyrgyzstan ranks 176th and Zimbabwe ranks 174th of 183 countries.
Zimbabwe has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Kyrgyzstan | Zimbabwe | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 1.47 | 30.16 | 28.69 | Zimbabwe |
| 2010s | 9.92 | 29.06 | 19.13 | Zimbabwe |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher trading across borders: cost to export (us$ per container) (db06-15), Kyrgyzstan or Zimbabwe?
- Zimbabwe, at 16.01 against 5.23 in Kyrgyzstan as of 2014.
- What is the difference in trading across borders: cost to export (us$ per container) (db06-15) between Kyrgyzstan and Zimbabwe?
- 10.78, with Zimbabwe ahead.
- How many years of comparable data are there for Kyrgyzstan and Zimbabwe?
- 10 years are reported by both, from 2005 to 2014.
- How do Kyrgyzstan and Zimbabwe rank globally for trading across borders: cost to export (us$ per container) (db06-15)?
- Kyrgyzstan ranks 176th and Zimbabwe ranks 174th of 183 countries.
- Where does this data come from?
- The World Bank, published as Trading across borders: Cost to export (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 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.