Austria vs Poland: Trading across borders: Cost to import: Border compliance (USD)

Austria
100
in 2019
Poland
100
in 2019
Austria rank
1st
Poland rank
1st

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

  • Austria
  • Poland
020406080100201420162019

How they compare

Austria currently reports 100 against 100 in Poland, a difference of 0.

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

Austria ranks 1st and Poland ranks 1st of 190 countries.

Frequently asked questions

Which has higher trading across borders: cost to import: border compliance (usd), Austria or Poland?
Austria, at 100 against 100 in Poland as of 2019.
What is the difference in trading across borders: cost to import: border compliance (usd) between Austria and Poland?
0, with Austria ahead.
How many years of comparable data are there for Austria and Poland?
6 years are reported by both, from 2014 to 2019.
How do Austria and Poland rank globally for trading across borders: cost to import: border compliance (usd)?
Austria ranks 1st and Poland ranks 1st of 190 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.

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Austria vs Poland: Trading across borders: Cost to import: Border compliance (USD). Statizoid. Retrieved 17 August 2026, from https://reference.statizoid.com/compare/trading-across-borders-cost-to-import-border-compliance-usd-db16-20-methodology-score/austria/poland/

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About this data

Indicator
Trading across borders: Cost to import: 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 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.