Comoros vs Georgia: Discrepancy in expenditure estimate of GDP
Discrepancy in expenditure estimate of GDP over time
- Comoros
- Georgia
How they compare
Comoros currently reports 1.89 billion constant LCU against 858.50 million constant LCU in Georgia, a difference of 1.03 billion constant LCU.
That makes Comoros's figure about 2.2 times Georgia's.
The two have swapped places 3 times across 7 shared years of data; in 2019 it was Georgia ahead.
Comoros ranks 30th and Georgia ranks 32nd of 154 countries.
Georgia has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Comoros | Georgia | Difference | Ahead |
|---|---|---|---|---|
| 2010s | -5.99 billion constant LCU | -284,000 constant LCU | 5.99 billion constant LCU | Georgia |
| 2020s | 172.15 million constant LCU | 479.06 million constant LCU | 306.91 million constant LCU | Georgia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher discrepancy in expenditure estimate of gdp, Comoros or Georgia?
- Comoros, at 1.89 billion constant LCU against 858.50 million constant LCU in Georgia as of 2025.
- What is the difference in discrepancy in expenditure estimate of gdp between Comoros and Georgia?
- 1.03 billion constant LCU, with Comoros ahead.
- How many years of comparable data are there for Comoros and Georgia?
- 7 years are reported by both, from 2019 to 2025.
- How do Comoros and Georgia rank globally for discrepancy in expenditure estimate of gdp?
- Comoros ranks 30th and Georgia ranks 32nd 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.