Marshall Islands vs Seychelles: Discrepancy in expenditure estimate of GDP
Discrepancy in expenditure estimate of GDP over time
- Marshall Islands
- Seychelles
How they compare
Marshall Islands currently reports 2.18 million constant LCU against 840,000 constant LCU in Seychelles, a difference of 1.34 million constant LCU.
That makes Marshall Islands's figure about 2.6 times Seychelles's.
The two have swapped places 1 time across 10 shared years of data; in 2015 it was Seychelles ahead.
Marshall Islands ranks 52nd and Seychelles ranks 53rd of 154 countries.
Seychelles has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Marshall Islands | Seychelles | Difference | Ahead |
|---|---|---|---|---|
| 2010s | -12.29 million constant LCU | 80 constant LCU | 12.29 million constant LCU | Seychelles |
| 2020s | -18.81 million constant LCU | 451,940 constant LCU | 19.27 million constant LCU | Seychelles |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher discrepancy in expenditure estimate of gdp, Marshall Islands or Seychelles?
- Marshall Islands, at 2.18 million constant LCU against 840,000 constant LCU in Seychelles as of 2024.
- What is the difference in discrepancy in expenditure estimate of gdp between Marshall Islands and Seychelles?
- 1.34 million constant LCU, with Marshall Islands ahead.
- How many years of comparable data are there for Marshall Islands and Seychelles?
- 10 years are reported by both, from 2015 to 2024.
- How do Marshall Islands and Seychelles rank globally for discrepancy in expenditure estimate of gdp?
- Marshall Islands ranks 52nd and Seychelles ranks 53rd of 154 countries.
- Where does this data come from?
- Country official statistics, National Statistical Organizations and/or Central Banks, published as Discrepancy in expenditure estimate of GDP (constant LCU). Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
Although the SNA ensures there is perfect consistency between the three measures of GDP, this is a conceptual consistency that in general does not emerge naturally from data compilations. This is because of the wide disparity of data sources that must be called on and the fact that any error in any source will lead to a difference between at least two of the GDP measures. In practice it is inevitable that many such data errors will exist and will become apparent in exercises such as the balancing of supply and use tables. This indicator is expressed in constant prices, meaning the underlying series have been adjusted to account for price changes over time. The reference year for this adjustment varies by country.