Mali vs Qatar: Discrepancy in expenditure estimate of GDP
Discrepancy in expenditure estimate of GDP over time
- Mali
- Qatar
How they compare
Qatar currently reports -276,700 current LCU against -336,886 current LCU in Mali, a difference of 60,186 current LCU.
The two have swapped places 21 times across 43 shared years of data; in 1980 it was Qatar ahead.
Mali ranks 148th and Qatar ranks 146th of 186 countries.
Across the 5 decades both report, Mali averaged higher in 2 and Qatar in 2.
Head to head by decade
| Decade | Mali | Qatar | Difference | Ahead |
|---|---|---|---|---|
| 1980s | -0.0003 current LCU | 0 current LCU | 0.0003 current LCU | Qatar |
| 1990s | -20 current LCU | 40 current LCU | 60 current LCU | Qatar |
| 2000s | 10 current LCU | -200,000 current LCU | 200,010 current LCU | Mali |
| 2010s | 30 current LCU | 30 current LCU | 0 current LCU | — |
| 2020s | 0 current LCU | -92,233 current LCU | 92,233 current LCU | Mali |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher discrepancy in expenditure estimate of gdp, Mali or Qatar?
- Qatar, at -276,700 current LCU against -336,886 current LCU in Mali as of 2022.
- What is the difference in discrepancy in expenditure estimate of gdp between Mali and Qatar?
- 60,186 current LCU, with Qatar ahead.
- How many years of comparable data are there for Mali and Qatar?
- 43 years are reported by both, from 1980 to 2022.
- How do Mali and Qatar rank globally for discrepancy in expenditure estimate of gdp?
- Mali ranks 148th and Qatar ranks 146th of 186 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.