Rwanda vs Sri Lanka: Time to import: Border compliance (hours)
Time to import: Border compliance (hours) over time
- Rwanda
- Sri Lanka
How they compare
Rwanda currently reports 73.5 DB16-20 methodology against 72 DB16-20 methodology in Sri Lanka, a difference of 1.5 DB16-20 methodology.
The two have swapped places 1 time across 6 shared years of data; in 2014 it was Sri Lanka ahead.
Rwanda ranks 69th and Sri Lanka ranks 71st of 186 countries.
Rwanda has averaged higher in every one of the 1 decades both report.
Frequently asked questions
- Which has higher time to import: border compliance (hours), Rwanda or Sri Lanka?
- Rwanda, at 73.5 DB16-20 methodology against 72 DB16-20 methodology in Sri Lanka as of 2019.
- What is the difference in time to import: border compliance (hours) between Rwanda and Sri Lanka?
- 1.5 DB16-20 methodology, with Rwanda ahead.
- How many years of comparable data are there for Rwanda and Sri Lanka?
- 6 years are reported by both, from 2014 to 2019.
- How do Rwanda and Sri Lanka rank globally for time to import: border compliance (hours)?
- Rwanda ranks 69th and Sri Lanka ranks 71st of 186 countries.
- Where does this data come from?
- The World Bank, published as Time to import: Border compliance (hours) (DB16-20 methodology). Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
The time for border compliance to import records the time associated with compliance with the economy’s customs regulations and with regulations relating to other inspections that are mandatory in order for the import shipment to cross the economy’s border, as well as the time and cost for handling that takes place at its port or border. It is calculate in hours. The time for this segment includes time for customs clearance and inspection procedures conducted by other agencies. If all customs clearance and other inspections take place at the port or border at the same time, the time estimate for border compliance takes this simultaneity into account. The component indicator is computed based on the methodology in the DB16-20 studies.