Albania vs Chinese Taipei: Trading across borders: Cost to import (US$ per container)(DB06-15)
Albania
93.58
in 2014
Chinese Taipei
93.76
in 2014
Albania rank
22nd
Chinese Taipei rank
19th
Trading across borders: Cost to import (US$ per container)(DB06-15) over time
- Albania
- Chinese Taipei
How they compare
Chinese Taipei currently reports 93.76 against 93.58 in Albania, a difference of 0.18.
The two have swapped places 2 times across 10 shared years of data; in 2005 it was Chinese Taipei ahead.
Albania ranks 22nd and Chinese Taipei ranks 19th of 183 countries.
Chinese Taipei has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Albania | Chinese Taipei | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 90.28 | 93.92 | 3.64 | Chinese Taipei |
| 2010s | 93.31 | 93.8 | 0.4888 | Chinese Taipei |
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), Albania or Chinese Taipei?
- Chinese Taipei, at 93.76 against 93.58 in Albania as of 2014.
- What is the difference in trading across borders: cost to import (us$ per container)(db06-15) between Albania and Chinese Taipei?
- 0.18, with Chinese Taipei ahead.
- How many years of comparable data are there for Albania and Chinese Taipei?
- 10 years are reported by both, from 2005 to 2014.
- How do Albania and Chinese Taipei rank globally for trading across borders: cost to import (us$ per container)(db06-15)?
- Albania ranks 22nd and Chinese Taipei ranks 19th 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.