Samoa vs Zimbabwe: Discrepancy in expenditure estimate of GDP
Discrepancy in expenditure estimate of GDP over time
- Samoa
- Zimbabwe
How they compare
Samoa currently reports -214.89 million current LCU against -345.43 million current LCU in Zimbabwe, a difference of 130.54 million current LCU.
The two have swapped places 7 times across 16 shared years of data; in 2009 it was Zimbabwe ahead.
Samoa ranks 166th and Zimbabwe ranks 167th of 185 countries.
Across the 3 decades both report, Samoa averaged higher in 2 and Zimbabwe in 1.
Head to head by decade
| Decade | Samoa | Zimbabwe | Difference | Ahead |
|---|---|---|---|---|
| 2000s | -20.84 million current LCU | 0 current LCU | 20.84 million current LCU | Zimbabwe |
| 2010s | 78.21 million current LCU | -20 current LCU | 78.21 million current LCU | Samoa |
| 2020s | -48.20 million current LCU | -69.09 million current LCU | 20.89 million current LCU | Samoa |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher discrepancy in expenditure estimate of gdp, Samoa or Zimbabwe?
- Samoa, at -214.89 million current LCU against -345.43 million current LCU in Zimbabwe as of 2025.
- What is the difference in discrepancy in expenditure estimate of gdp between Samoa and Zimbabwe?
- 130.54 million current LCU, with Samoa ahead.
- How many years of comparable data are there for Samoa and Zimbabwe?
- 16 years are reported by both, from 2009 to 2024.
- How do Samoa and Zimbabwe rank globally for discrepancy in expenditure estimate of gdp?
- Samoa ranks 166th and Zimbabwe ranks 167th of 185 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 (current 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 current prices, meaning no adjustment has been made to account for price changes over time. This series is expressed in local currency units.