Djibouti vs Italy: Trading across borders (DB16-20 methodology) - Score

Djibouti
59.37
in 2019
Italy
100
in 2019
Djibouti rank
1st
Italy rank
1st

Trading across borders (DB16-20 methodology) - Score over time

  • Djibouti
  • Italy
020406080100201420162019

How they compare

Italy currently reports 100 against 59.37 in Djibouti, a difference of 40.63.

That makes Italy's figure about 1.7 times Djibouti's.

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

Djibouti ranks 1st and Italy ranks 1st of 1 countries.

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

Frequently asked questions

Which has higher trading across borders (db16-20 methodology) - score, Djibouti or Italy?
Italy, at 100 against 59.37 in Djibouti as of 2019.
What is the difference in trading across borders (db16-20 methodology) - score between Djibouti and Italy?
40.63, with Italy ahead.
How many years of comparable data are there for Djibouti and Italy?
6 years are reported by both, from 2014 to 2019.
How do Djibouti and Italy rank globally for trading across borders (db16-20 methodology) - score?
Djibouti ranks 1st and Italy ranks 1st of 1 countries.
Where does this data come from?
The World Bank, published as Trading across borders (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 (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

Doing Business measures the time and cost associated with three sets of procedures of exporting and importing goods —documentary compliance, border compliance and domestic transport—within the overall process of exporting or importing a shipment of goods. The score for trading across borders is the simple average of the scores for the time and cost for documentary compliance and border compliance to export and import. It is computed based on the methodology in the DB16-20 studies.