Bolivia, Plurinational State of vs Guatemala: Trading across borders: Cost to import: Documentary compliance (USD)
Bolivia, Plurinational State of
95.71
in 2019
Guatemala
94.71
in 2019
Bolivia, Plurinational State of rank
35th
Guatemala rank
37th
Trading across borders: Cost to import: Documentary compliance (USD) over time
- Bolivia, Plurinational State of
- Guatemala
How they compare
Bolivia, Plurinational State of currently reports 95.71 against 94.71 in Guatemala, a difference of 1.
Across all 6 years both countries report, Bolivia, Plurinational State of has been ahead every year.
Bolivia, Plurinational State of ranks 35th and Guatemala ranks 37th of 190 countries.
Bolivia, Plurinational State of 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), Bolivia, Plurinational State of or Guatemala?
- Bolivia, Plurinational State of, at 95.71 against 94.71 in Guatemala as of 2019.
- What is the difference in trading across borders: cost to import: documentary compliance (usd) between Bolivia, Plurinational State of and Guatemala?
- 1, with Bolivia, Plurinational State of ahead.
- How many years of comparable data are there for Bolivia, Plurinational State of and Guatemala?
- 6 years are reported by both, from 2014 to 2019.
- How do Bolivia, Plurinational State of and Guatemala rank globally for trading across borders: cost to import: documentary compliance (usd)?
- Bolivia, Plurinational State of ranks 35th and Guatemala ranks 37th of 190 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.