Qatar vs San Marino: Merchandise exports to economies in the Arab World
Merchandise exports to economies in the Arab World over time
- Qatar
- San Marino
How they compare
San Marino currently reports 9.4% against 8.4% in Qatar, a difference of 1.0%.
That makes San Marino's figure about 1.1 times Qatar's.
The two have swapped places 5 times across 23 shared years of data; in 2000 it was Qatar ahead.
Qatar ranks 43rd and San Marino ranks 40th of 205 countries.
Across the 3 decades both report, Qatar averaged higher in 1 and San Marino in 2.
Head to head by decade
| Decade | Qatar | San Marino | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 6.6% | 1.3% | 5.2% | Qatar |
| 2010s | 7.5% | 12.1% | 4.6% | San Marino |
| 2020s | 7.3% | 10.7% | 3.4% | San Marino |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher merchandise exports to economies in the arab world, Qatar or San Marino?
- San Marino, at 9.4% against 8.4% in Qatar as of 2023.
- What is the difference in merchandise exports to economies in the arab world between Qatar and San Marino?
- 1.0%, with San Marino ahead.
- How many years of comparable data are there for Qatar and San Marino?
- 23 years are reported by both, from 2000 to 2023.
- How do Qatar and San Marino rank globally for merchandise exports to economies in the arab world?
- Qatar ranks 43rd and San Marino ranks 40th of 205 countries.
- Where does this data come from?
- Staff estimates, World Bank (WB), published as Merchandise exports to economies in the Arab World (% of total merchandise exports). Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
Merchandise exports to economies in the Arab World are the sum of merchandise exports by the reporting economy to economies in the Arab World. Data are expressed as a percentage of total merchandise exports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data.