Central African Republic vs Solomon Islands: Trading across borders: Cost to import: Border compliance (USD)
Trading across borders: Cost to import: Border compliance (USD) over time
- Central African Republic
- Solomon Islands
How they compare
Central African Republic currently reports 40.89 against 38.33 in Solomon Islands, a difference of 2.56.
That makes Central African Republic's figure about 1.1 times Solomon Islands's.
Across all 6 years both countries report, Central African Republic has been ahead every year.
Central African Republic ranks 155th and Solomon Islands ranks 156th of 191 countries.
Central African Republic has averaged higher in every one of the 1 decades both report.
Frequently asked questions
- Which has higher trading across borders: cost to import: border compliance (usd), Central African Republic or Solomon Islands?
- Central African Republic, at 40.89 against 38.33 in Solomon Islands as of 2019.
- What is the difference in trading across borders: cost to import: border compliance (usd) between Central African Republic and Solomon Islands?
- 2.56, with Central African Republic ahead.
- How many years of comparable data are there for Central African Republic and Solomon Islands?
- 6 years are reported by both, from 2014 to 2019.
- How do Central African Republic and Solomon Islands rank globally for trading across borders: cost to import: border compliance (usd)?
- Central African Republic ranks 155th and Solomon Islands ranks 156th of 191 countries.
- Where does this data come from?
- The World Bank, published as Trading across borders: Cost to import: Border compliance (USD) (DB16-20 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 for border compliance 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 DB16-20 studies.