Argentina vs Botswana: Discrepancy in expenditure estimate of GDP
Discrepancy in expenditure estimate of GDP over time
- Argentina
- Botswana
How they compare
Botswana currently reports -5.67 billion constant LCU against -7.05 billion constant LCU in Argentina, a difference of 1.37 billion constant LCU.
The two have swapped places 3 times across 9 shared years of data; in 2016 it was Argentina ahead.
Argentina ranks 136th and Botswana ranks 135th of 154 countries.
Across the 2 decades both report, Argentina averaged higher in 1 and Botswana in 1.
Head to head by decade
| Decade | Argentina | Botswana | Difference | Ahead |
|---|---|---|---|---|
| 2010s | -75 constant LCU | 1.06 billion constant LCU | 1.06 billion constant LCU | Botswana |
| 2020s | -2.15 billion constant LCU | -2.82 billion constant LCU | 664.80 million constant LCU | Argentina |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher discrepancy in expenditure estimate of gdp, Argentina or Botswana?
- Botswana, at -5.67 billion constant LCU against -7.05 billion constant LCU in Argentina as of 2024.
- What is the difference in discrepancy in expenditure estimate of gdp between Argentina and Botswana?
- 1.37 billion constant LCU, with Botswana ahead.
- How many years of comparable data are there for Argentina and Botswana?
- 9 years are reported by both, from 2016 to 2024.
- How do Argentina and Botswana rank globally for discrepancy in expenditure estimate of gdp?
- Argentina ranks 136th and Botswana ranks 135th 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.