Italy vs Jordan: Discrepancy in expenditure estimate of GDP
Discrepancy in expenditure estimate of GDP over time
- Italy
- Jordan
How they compare
Italy currently reports -100,000 current LCU against -100,000 current LCU in Jordan, a difference of 0 current LCU.
The two have swapped places 8 times across 32 shared years of data; in 1976 it was Jordan ahead.
Italy ranks 139th and Jordan ranks 139th of 186 countries.
Jordan has averaged higher in every one of the 4 decades both report.
Head to head by decade
| Decade | Italy | Jordan | Difference | Ahead |
|---|---|---|---|---|
| 1970s | -342.32 million current LCU | -50,000 current LCU | 342.27 million current LCU | Jordan |
| 1980s | -1.05 billion current LCU | 20,000 current LCU | 1.05 billion current LCU | Jordan |
| 1990s | -482.00 million current LCU | -9.30 million current LCU | 472.69 million current LCU | Jordan |
| 2000s | -37,500 current LCU | 25,000 current LCU | 62,500 current LCU | Jordan |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher discrepancy in expenditure estimate of gdp, Italy or Jordan?
- Italy, at -100,000 current LCU against -100,000 current LCU in Jordan as of 2025.
- What is the difference in discrepancy in expenditure estimate of gdp between Italy and Jordan?
- 0 current LCU, with Italy ahead.
- How many years of comparable data are there for Italy and Jordan?
- 32 years are reported by both, from 1976 to 2007.
- How do Italy and Jordan rank globally for discrepancy in expenditure estimate of gdp?
- Italy ranks 139th and Jordan ranks 139th 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.