Croatia vs Guinea-Bissau: Discrepancy in expenditure estimate of GDP
Discrepancy in expenditure estimate of GDP over time
- Croatia
- Guinea-Bissau
How they compare
Croatia currently reports 0 current LCU against 0 current LCU in Guinea-Bissau, a difference of 0 current LCU.
The two have swapped places 12 times across 31 shared years of data; in 1995 it was Guinea-Bissau ahead.
Croatia ranks 77th and Guinea-Bissau ranks 77th of 186 countries.
Across the 4 decades both report, Croatia averaged higher in 2 and Guinea-Bissau in 2.
Head to head by decade
| Decade | Croatia | Guinea-Bissau | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 200,000 current LCU | 20 current LCU | 199,980 current LCU | Croatia |
| 2000s | -300,000 current LCU | 0 current LCU | 300,000 current LCU | Guinea-Bissau |
| 2010s | 300,000 current LCU | -334.60 million current LCU | 334.90 million current LCU | Croatia |
| 2020s | -166,667 current LCU | -33.33 current LCU | 166,633 current LCU | Guinea-Bissau |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher discrepancy in expenditure estimate of gdp, Croatia or Guinea-Bissau?
- Croatia, at 0 current LCU against 0 current LCU in Guinea-Bissau as of 2025.
- What is the difference in discrepancy in expenditure estimate of gdp between Croatia and Guinea-Bissau?
- 0 current LCU, with Croatia ahead.
- How many years of comparable data are there for Croatia and Guinea-Bissau?
- 31 years are reported by both, from 1995 to 2025.
- How do Croatia and Guinea-Bissau rank globally for discrepancy in expenditure estimate of gdp?
- Croatia ranks 77th and Guinea-Bissau ranks 77th 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.