Lao People's Democratic Republic vs Thailand: Trading across borders: Cost to import: Border compliance (USD)
Lao People's Democratic Republic
81.38
in 2019
Thailand
80.62
in 2019
Lao People's Democratic Republic rank
59th
Thailand rank
62nd
Trading across borders: Cost to import: Border compliance (USD) over time
- Lao People's Democratic Republic
- Thailand
How they compare
Lao People's Democratic Republic currently reports 81.38 against 80.62 in Thailand, a difference of 0.76.
Across all 6 years both countries report, Lao People's Democratic Republic has been ahead every year.
Lao People's Democratic Republic ranks 59th and Thailand ranks 62nd of 191 countries.
Lao People's Democratic 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), Lao People's Democratic Republic or Thailand?
- Lao People's Democratic Republic, at 81.38 against 80.62 in Thailand as of 2019.
- What is the difference in trading across borders: cost to import: border compliance (usd) between Lao People's Democratic Republic and Thailand?
- 0.76, with Lao People's Democratic Republic ahead.
- How many years of comparable data are there for Lao People's Democratic Republic and Thailand?
- 6 years are reported by both, from 2014 to 2019.
- How do Lao People's Democratic Republic and Thailand rank globally for trading across borders: cost to import: border compliance (usd)?
- Lao People's Democratic Republic ranks 59th and Thailand ranks 62nd 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.