Palau vs Sweden: Trading across borders: Cost to export (US$ per container) (DB06-15 me

Palau
93.25
in 2014
Sweden
93.14
in 2014
Palau rank
26th
Sweden rank
27th

Trading across borders: Cost to export (US$ per container) (DB06-15 me over time

  • Palau
  • Sweden
020406080100200520092014

How they compare

Palau currently reports 93.25 against 93.14 in Sweden, a difference of 0.11.

The two have swapped places 1 time across 10 shared years of data; in 2005 it was Sweden ahead.

Palau ranks 26th and Sweden ranks 27th of 181 countries.

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

Head to head by decade

Decade Palau Sweden Difference Ahead
2000s 84.67 93.5 8.83 Sweden
2010s 92.41 92.89 0.4804 Sweden

Averages of every year both report within each decade.

Frequently asked questions

Which has higher trading across borders: cost to export (us$ per container) (db06-15 me, Palau or Sweden?
Palau, at 93.25 against 93.14 in Sweden as of 2014.
What is the difference in trading across borders: cost to export (us$ per container) (db06-15 me between Palau and Sweden?
0.11, with Palau ahead.
How many years of comparable data are there for Palau and Sweden?
10 years are reported by both, from 2005 to 2014.
How do Palau and Sweden rank globally for trading across borders: cost to export (us$ per container) (db06-15 me?
Palau ranks 26th and Sweden ranks 27th of 181 countries.
Where does this data come from?
The World Bank, published as Trading across borders: Cost to export (US$ per container) (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: Cost to export (US$ per container) (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 cost 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.