San Marino vs Serbia: Trading across borders (DB16-20 methodology) - Score

San Marino
97.48
in 2019
Serbia
96.57
in 2019
San Marino rank
20th
Serbia rank
23rd

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

  • San Marino
  • Serbia
020406080100201420162019

How they compare

San Marino currently reports 97.48 against 96.57 in Serbia, a difference of 0.91.

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

San Marino ranks 20th and Serbia ranks 23rd of 188 countries.

San Marino 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, San Marino or Serbia?
San Marino, at 97.48 against 96.57 in Serbia as of 2019.
What is the difference in trading across borders (db16-20 methodology) - score between San Marino and Serbia?
0.91, with San Marino ahead.
How many years of comparable data are there for San Marino and Serbia?
6 years are reported by both, from 2014 to 2019.
How do San Marino and Serbia rank globally for trading across borders (db16-20 methodology) - score?
San Marino ranks 20th and Serbia ranks 23rd of 188 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.