Qatar vs Sri Lanka: Trading across borders: Cost to import: Documentary compliance (USD)
Trading across borders: Cost to import: Documentary compliance (USD) over time
- Qatar
- Sri Lanka
How they compare
Qatar currently reports 290 DB16-20 methodology against 282.78 DB16-20 methodology in Sri Lanka, a difference of 7.22 DB16-20 methodology.
Across all 6 years both countries report, Qatar has been ahead every year.
Qatar ranks 29th and Sri Lanka ranks 32nd of 188 countries.
Qatar has averaged higher in every one of the 1 decades both report.
Frequently asked questions
- Which has higher trading across borders: cost to import: documentary compliance (usd), Qatar or Sri Lanka?
- Qatar, at 290 DB16-20 methodology against 282.78 DB16-20 methodology in Sri Lanka as of 2019.
- What is the difference in trading across borders: cost to import: documentary compliance (usd) between Qatar and Sri Lanka?
- 7.22 DB16-20 methodology, with Qatar ahead.
- How many years of comparable data are there for Qatar and Sri Lanka?
- 6 years are reported by both, from 2014 to 2019.
- How do Qatar and Sri Lanka rank globally for trading across borders: cost to import: documentary compliance (usd)?
- Qatar ranks 29th and Sri Lanka ranks 32nd of 188 countries.
- Where does this data come from?
- The World Bank, published as Trading across borders: Cost to import: Documentary compliance (USD) (DB16-20 methodology). Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
The cost for documentary compliance to import records the cost associated with compliance with the import documentary requirements of all government agencies of the origin economy, the destination economy and any transit economies. It is calculated in US dollars. The cost for documentary compliance includes the cost for obtaining, preparing, processing, presenting and submitting documents. Insurance cost and informal payments for which no receipt is issued are excluded from the costs recorded. The component indicator is computed based on the methodology in the DB16-20 studies.