Solomon Islands vs Trinidad and Tobago: Trading across borders: Cost to import: Documentary compliance (USD)
Solomon Islands
69.29
in 2019
Trinidad and Tobago
64.29
in 2019
Solomon Islands rank
149th
Trinidad and Tobago rank
152nd
Trading across borders: Cost to import: Documentary compliance (USD) over time
- Solomon Islands
- Trinidad and Tobago
How they compare
Solomon Islands currently reports 69.29 against 64.29 in Trinidad and Tobago, a difference of 5.
That makes Solomon Islands's figure about 1.1 times Trinidad and Tobago's.
Across all 6 years both countries report, Solomon Islands has been ahead every year.
Solomon Islands ranks 149th and Trinidad and Tobago ranks 152nd of 191 countries.
Solomon Islands has averaged higher in every one of the 1 decades both report.
Frequently asked questions
- Which has higher trading across borders: cost to import: documentary compliance (usd), Solomon Islands or Trinidad and Tobago?
- Solomon Islands, at 69.29 against 64.29 in Trinidad and Tobago as of 2019.
- What is the difference in trading across borders: cost to import: documentary compliance (usd) between Solomon Islands and Trinidad and Tobago?
- 5, with Solomon Islands ahead.
- How many years of comparable data are there for Solomon Islands and Trinidad and Tobago?
- 6 years are reported by both, from 2014 to 2019.
- How do Solomon Islands and Trinidad and Tobago rank globally for trading across borders: cost to import: documentary compliance (usd)?
- Solomon Islands ranks 149th and Trinidad and Tobago ranks 152nd of 191 countries.
- Where does this data come from?
- The World Bank, published as Trading across borders: Cost to import: Documentary 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 documentary 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.