Cambodia vs Colombia: Discrepancy in expenditure estimate of GDP
Discrepancy in expenditure estimate of GDP over time
- Cambodia
- Colombia
How they compare
Colombia currently reports 1.60 trillion constant LCU against 1.42 trillion constant LCU in Cambodia, a difference of 183.72 billion constant LCU.
That makes Colombia's figure about 1.1 times Cambodia's.
The two have swapped places 4 times across 11 shared years of data; in 2015 it was Colombia ahead.
Cambodia ranks 6th and Colombia ranks 4th of 154 countries.
Cambodia has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Cambodia | Colombia | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 538.76 billion constant LCU | 260.60 billion constant LCU | 278.16 billion constant LCU | Cambodia |
| 2020s | 852.23 billion constant LCU | -557.67 billion constant LCU | 1.41 trillion constant LCU | Cambodia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher discrepancy in expenditure estimate of gdp, Cambodia or Colombia?
- Colombia, at 1.60 trillion constant LCU against 1.42 trillion constant LCU in Cambodia as of 2025.
- What is the difference in discrepancy in expenditure estimate of gdp between Cambodia and Colombia?
- 183.72 billion constant LCU, with Colombia ahead.
- How many years of comparable data are there for Cambodia and Colombia?
- 11 years are reported by both, from 2015 to 2025.
- How do Cambodia and Colombia rank globally for discrepancy in expenditure estimate of gdp?
- Cambodia ranks 6th and Colombia ranks 4th 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.