South Sudan vs Switzerland: Discrepancy in expenditure estimate of GDP
Discrepancy in expenditure estimate of GDP over time
- South Sudan
- Switzerland
How they compare
South Sudan currently reports 0 constant LCU against 0 constant LCU in Switzerland, a difference of 0 constant LCU.
The two have swapped places 1 time across 7 shared years of data; in 2009 it was Switzerland ahead.
South Sudan ranks 66th and Switzerland ranks 67th of 154 countries.
Across the 2 decades both report, South Sudan averaged higher in 1 and Switzerland in 1.
Head to head by decade
| Decade | South Sudan | Switzerland | Difference | Ahead |
|---|---|---|---|---|
| 2000s | -388.00 million constant LCU | 0 constant LCU | 388.00 million constant LCU | Switzerland |
| 2010s | 5.33 million constant LCU | 0 constant LCU | 5.33 million constant LCU | South Sudan |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher discrepancy in expenditure estimate of gdp, South Sudan or Switzerland?
- South Sudan, at 0 constant LCU against 0 constant LCU in Switzerland as of 2015.
- What is the difference in discrepancy in expenditure estimate of gdp between South Sudan and Switzerland?
- 0 constant LCU, with South Sudan ahead.
- How many years of comparable data are there for South Sudan and Switzerland?
- 7 years are reported by both, from 2009 to 2015.
- How do South Sudan and Switzerland rank globally for discrepancy in expenditure estimate of gdp?
- South Sudan ranks 66th and Switzerland ranks 67th 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.