Cape Verde vs Gambia: Discrepancy in expenditure estimate of GDP
Discrepancy in expenditure estimate of GDP over time
- Cape Verde
- Gambia
How they compare
Cape Verde currently reports 2.09 billion constant LCU against 1.00 billion constant LCU in Gambia, a difference of 1.09 billion constant LCU.
That makes Cape Verde's figure about 2.1 times Gambia's.
The two have swapped places 1 time across 11 shared years of data; in 2015 it was Gambia ahead.
Cape Verde ranks 28th and Gambia ranks 31st of 154 countries.
Cape Verde has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Cape Verde | Gambia | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 378.12 million constant LCU | -586.51 million constant LCU | 964.63 million constant LCU | Cape Verde |
| 2020s | 2.04 billion constant LCU | -110.95 million constant LCU | 2.16 billion constant LCU | Cape Verde |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher discrepancy in expenditure estimate of gdp, Cape Verde or Gambia?
- Cape Verde, at 2.09 billion constant LCU against 1.00 billion constant LCU in Gambia as of 2025.
- What is the difference in discrepancy in expenditure estimate of gdp between Cape Verde and Gambia?
- 1.09 billion constant LCU, with Cape Verde ahead.
- How many years of comparable data are there for Cape Verde and Gambia?
- 11 years are reported by both, from 2015 to 2025.
- How do Cape Verde and Gambia rank globally for discrepancy in expenditure estimate of gdp?
- Cape Verde ranks 28th and Gambia ranks 31st 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.