Bhutan vs El Salvador: Discrepancy in expenditure estimate of GDP
Discrepancy in expenditure estimate of GDP over time
- Bhutan
- El Salvador
How they compare
El Salvador currently reports 10,000 current LCU against 8,200 current LCU in Bhutan, a difference of 1,800 current LCU.
That makes El Salvador's figure about 1.2 times Bhutan's.
The two have swapped places 13 times across 35 shared years of data; in 1990 it was El Salvador ahead.
Bhutan ranks 60th and El Salvador ranks 58th of 186 countries.
Across the 4 decades both report, Bhutan averaged higher in 3 and El Salvador in 1.
Head to head by decade
| Decade | Bhutan | El Salvador | Difference | Ahead |
|---|---|---|---|---|
| 1990s | -388.50 million current LCU | 0.1 current LCU | 388.50 million current LCU | El Salvador |
| 2000s | 175,980 current LCU | 1,020 current LCU | 174,960 current LCU | Bhutan |
| 2010s | 0 current LCU | -1,000 current LCU | 1,000 current LCU | Bhutan |
| 2020s | 1,160 current LCU | -8,000 current LCU | 9,160 current LCU | Bhutan |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher discrepancy in expenditure estimate of gdp, Bhutan or El Salvador?
- El Salvador, at 10,000 current LCU against 8,200 current LCU in Bhutan as of 2025.
- What is the difference in discrepancy in expenditure estimate of gdp between Bhutan and El Salvador?
- 1,800 current LCU, with El Salvador ahead.
- How many years of comparable data are there for Bhutan and El Salvador?
- 35 years are reported by both, from 1990 to 2024.
- How do Bhutan and El Salvador rank globally for discrepancy in expenditure estimate of gdp?
- Bhutan ranks 60th and El Salvador ranks 58th 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.