Georgia vs Solomon Islands: Discrepancy in expenditure estimate of GDP
Discrepancy in expenditure estimate of GDP over time
- Georgia
- Solomon Islands
How they compare
Georgia currently reports 858.50 million constant LCU against 818.02 million constant LCU in Solomon Islands, a difference of 40.48 million constant LCU.
The two have swapped places 2 times across 6 shared years of data; in 2019 it was Solomon Islands ahead.
Georgia ranks 32nd and Solomon Islands ranks 33rd of 154 countries.
Solomon Islands has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Georgia | Solomon Islands | Difference | Ahead |
|---|---|---|---|---|
| 2010s | -284,000 constant LCU | 37.83 million constant LCU | 38.11 million constant LCU | Solomon Islands |
| 2020s | 403.17 million constant LCU | 419.81 million constant LCU | 16.64 million constant LCU | Solomon Islands |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher discrepancy in expenditure estimate of gdp, Georgia or Solomon Islands?
- Georgia, at 858.50 million constant LCU against 818.02 million constant LCU in Solomon Islands as of 2025.
- What is the difference in discrepancy in expenditure estimate of gdp between Georgia and Solomon Islands?
- 40.48 million constant LCU, with Georgia ahead.
- How many years of comparable data are there for Georgia and Solomon Islands?
- 6 years are reported by both, from 2019 to 2024.
- How do Georgia and Solomon Islands rank globally for discrepancy in expenditure estimate of gdp?
- Georgia ranks 32nd and Solomon Islands ranks 33rd 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.