Kuwait vs Sri Lanka: Discrepancy in expenditure estimate of GDP
Discrepancy in expenditure estimate of GDP over time
- Kuwait
- Sri Lanka
How they compare
Sri Lanka currently reports 0.3896 constant LCU against 0.099 constant LCU in Kuwait, a difference of 0.2906 constant LCU.
That makes Sri Lanka's figure about 3.9 times Kuwait's.
The two have swapped places 7 times across 10 shared years of data; in 2015 it was Kuwait ahead.
Kuwait ranks 63rd and Sri Lanka ranks 61st of 154 countries.
Kuwait has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Kuwait | Sri Lanka | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 20 constant LCU | -8,380 constant LCU | 8,400 constant LCU | Kuwait |
| 2020s | 21,580 constant LCU | 20.25 constant LCU | 21,560 constant LCU | Kuwait |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher discrepancy in expenditure estimate of gdp, Kuwait or Sri Lanka?
- Sri Lanka, at 0.3896 constant LCU against 0.099 constant LCU in Kuwait as of 2025.
- What is the difference in discrepancy in expenditure estimate of gdp between Kuwait and Sri Lanka?
- 0.2906 constant LCU, with Sri Lanka ahead.
- How many years of comparable data are there for Kuwait and Sri Lanka?
- 10 years are reported by both, from 2015 to 2024.
- How do Kuwait and Sri Lanka rank globally for discrepancy in expenditure estimate of gdp?
- Kuwait ranks 63rd and Sri Lanka ranks 61st 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.