Australia vs Guinea: Trading across borders: Cost to export: Border compliance (USD) (DB16

Australia
27.74
in 2019
Guinea
26.62
in 2019
Australia rank
165th
Guinea rank
166th

Trading across borders: Cost to export: Border compliance (USD) (DB16 over time

  • Australia
  • Guinea
0102030201420162019

How they compare

Australia currently reports 27.74 against 26.62 in Guinea, a difference of 1.12.

Across all 6 years both countries report, Australia has been ahead every year.

Australia ranks 165th and Guinea ranks 166th of 188 countries.

Australia has averaged higher in every one of the 1 decades both report.

Frequently asked questions

Which has higher trading across borders: cost to export: border compliance (usd) (db16, Australia or Guinea?
Australia, at 27.74 against 26.62 in Guinea as of 2019.
What is the difference in trading across borders: cost to export: border compliance (usd) (db16 between Australia and Guinea?
1.12, with Australia ahead.
How many years of comparable data are there for Australia and Guinea?
6 years are reported by both, from 2014 to 2019.
How do Australia and Guinea rank globally for trading across borders: cost to export: border compliance (usd) (db16?
Australia ranks 165th and Guinea ranks 166th of 188 countries.
Where does this data come from?
The World Bank, published as Trading across borders: Cost to export: 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

Indicator
Trading across borders: Cost to export: Border compliance (USD) (DB16-20 methodology) - Score
Source
World Bank
Licence
CC BY 4.0 (World Bank Open Data)
Coverage
190 places, 1,139 data points, 2014–2019
Last refreshed

The score for the cost for border compliance 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 DB16-20 studies.