Afghanistan vs Sao Tome and Principe: Discrepancy in expenditure estimate of GDP
Discrepancy in expenditure estimate of GDP over time
- Afghanistan
- Sao Tome and Principe
How they compare
Sao Tome and Principe currently reports -389.87 million constant LCU against -473.86 million constant LCU in Afghanistan, a difference of 83.99 million constant LCU.
The two have swapped places 1 time across 5 shared years of data; in 2020 it was Afghanistan ahead.
Afghanistan ranks 129th and Sao Tome and Principe ranks 126th of 154 countries.
Afghanistan has averaged higher in every one of the 1 decades both report.
Frequently asked questions
- Which has higher discrepancy in expenditure estimate of gdp, Afghanistan or Sao Tome and Principe?
- Sao Tome and Principe, at -389.87 million constant LCU against -473.86 million constant LCU in Afghanistan as of 2025.
- What is the difference in discrepancy in expenditure estimate of gdp between Afghanistan and Sao Tome and Principe?
- 83.99 million constant LCU, with Sao Tome and Principe ahead.
- How many years of comparable data are there for Afghanistan and Sao Tome and Principe?
- 5 years are reported by both, from 2020 to 2024.
- How do Afghanistan and Sao Tome and Principe rank globally for discrepancy in expenditure estimate of gdp?
- Afghanistan ranks 129th and Sao Tome and Principe ranks 126th 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.
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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.