Eswatini vs Kiribati: Discrepancy in expenditure estimate of GDP
Discrepancy in expenditure estimate of GDP over time
- Eswatini
- Kiribati
How they compare
Eswatini currently reports 40.49 million constant LCU against 6.50 million constant LCU in Kiribati, a difference of 33.99 million constant LCU.
That makes Eswatini's figure about 6.2 times Kiribati's.
The two have swapped places 2 times across 6 shared years of data; in 2019 it was Eswatini ahead.
Eswatini ranks 47th and Kiribati ranks 50th of 154 countries.
Eswatini has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Eswatini | Kiribati | Difference | Ahead |
|---|---|---|---|---|
| 2010s | -100 constant LCU | -605,913 constant LCU | 605,813 constant LCU | Eswatini |
| 2020s | 8.10 million constant LCU | 611,136 constant LCU | 7.49 million constant LCU | Eswatini |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher discrepancy in expenditure estimate of gdp, Eswatini or Kiribati?
- Eswatini, at 40.49 million constant LCU against 6.50 million constant LCU in Kiribati as of 2024.
- What is the difference in discrepancy in expenditure estimate of gdp between Eswatini and Kiribati?
- 33.99 million constant LCU, with Eswatini ahead.
- How many years of comparable data are there for Eswatini and Kiribati?
- 6 years are reported by both, from 2019 to 2024.
- How do Eswatini and Kiribati rank globally for discrepancy in expenditure estimate of gdp?
- Eswatini ranks 47th and Kiribati ranks 50th 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.