Brazil vs Thailand: Trading across borders: Time to export (days) (DB06-15 methodology)

Brazil
84.6
in 2014
Thailand
83.33
in 2014
Brazil rank
57th
Thailand rank
58th

Trading across borders: Time to export (days) (DB06-15 methodology) over time

  • Brazil
  • Thailand
020406080200520092014

How they compare

Brazil currently reports 84.6 against 83.33 in Thailand, a difference of 1.27.

The two have swapped places 2 times across 10 shared years of data; in 2005 it was Brazil ahead.

Brazil ranks 57th and Thailand ranks 58th of 181 countries.

Brazil has averaged higher in every one of the 2 decades both report.

Head to head by decade

Decade Brazil Thailand Difference Ahead
2000s 79.17 73.75 5.42 Brazil
2010s 85.09 83.33 1.76 Brazil

Averages of every year both report within each decade.

Frequently asked questions

Which has higher trading across borders: time to export (days) (db06-15 methodology), Brazil or Thailand?
Brazil, at 84.6 against 83.33 in Thailand as of 2014.
What is the difference in trading across borders: time to export (days) (db06-15 methodology) between Brazil and Thailand?
1.27, with Brazil ahead.
How many years of comparable data are there for Brazil and Thailand?
10 years are reported by both, from 2005 to 2014.
How do Brazil and Thailand rank globally for trading across borders: time to export (days) (db06-15 methodology)?
Brazil ranks 57th and Thailand ranks 58th of 181 countries.
Where does this data come from?
The World Bank, published as Trading across borders: Time to export (days) (DB06-15 methodology) - Score. Statizoid refreshes it automatically from the source and publishes the full history for both places.

Individual pages

About this data

Indicator
Trading across borders: Time to export (days) (DB06-15 methodology) - Score
Source
World Bank
Licence
CC BY 4.0 (World Bank Open Data)
Coverage
183 places, 1,813 data points, 2005–2014
Last refreshed

The score for the time to export 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.