Gambia vs Seychelles: Discrepancy in GDP, value added
Gambia
1.18 billion constant LCU
in 2011
Seychelles
885.91 million constant LCU
in 2011
Gambia rank
10th
Seychelles rank
11th
Discrepancy in GDP, value added over time
- Gambia
- Seychelles
How they compare
Gambia currently reports 1.18 billion constant LCU against 885.91 million constant LCU in Seychelles, a difference of 292.80 million constant LCU.
That makes Gambia's figure about 1.3 times Seychelles's.
Across all 8 years both countries report, Gambia has been ahead every year.
Gambia ranks 10th and Seychelles ranks 11th of 41 countries.
Gambia has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Gambia | Seychelles | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 1.07 billion constant LCU | 722.52 million constant LCU | 343.72 million constant LCU | Gambia |
| 2010s | 1.27 billion constant LCU | 854.10 million constant LCU | 413.92 million constant LCU | Gambia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher discrepancy in gdp, value added, Gambia or Seychelles?
- Gambia, at 1.18 billion constant LCU against 885.91 million constant LCU in Seychelles as of 2011.
- What is the difference in discrepancy in gdp, value added between Gambia and Seychelles?
- 292.80 million constant LCU, with Gambia ahead.
- How many years of comparable data are there for Gambia and Seychelles?
- 8 years are reported by both, from 2004 to 2011.
- How do Gambia and Seychelles rank globally for discrepancy in gdp, value added?
- Gambia ranks 10th and Seychelles ranks 11th of 41 countries.
- Where does this data come from?
- World Bank national accounts data, and OECD National Accounts data files, published as Discrepancy in GDP, value added (constant LCU). Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
This is the discrepancy included in the value added of services, etc. Covered here are any discrepancies noted by national compilers as well as discrepancies arising from linking new and old series in the World Bank data base. Data are in constant local currency.