Brazil vs Kyrgyzstan: Discrepancy in expenditure estimate of GDP
Discrepancy in expenditure estimate of GDP over time
- Brazil
- Kyrgyzstan
How they compare
Kyrgyzstan currently reports 24.52 billion constant LCU against 17.27 billion constant LCU in Brazil, a difference of 7.25 billion constant LCU.
That makes Kyrgyzstan's figure about 1.4 times Brazil's.
The two have swapped places 1 time across 7 shared years of data; in 2019 it was Brazil ahead.
Brazil ranks 18th and Kyrgyzstan ranks 17th of 154 countries.
Across the 2 decades both report, Brazil averaged higher in 1 and Kyrgyzstan in 1.
Head to head by decade
| Decade | Brazil | Kyrgyzstan | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 8.69 billion constant LCU | 0 constant LCU | 8.69 billion constant LCU | Brazil |
| 2020s | 15.93 billion constant LCU | 48.94 billion constant LCU | 33.02 billion constant LCU | Kyrgyzstan |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher discrepancy in expenditure estimate of gdp, Brazil or Kyrgyzstan?
- Kyrgyzstan, at 24.52 billion constant LCU against 17.27 billion constant LCU in Brazil as of 2025.
- What is the difference in discrepancy in expenditure estimate of gdp between Brazil and Kyrgyzstan?
- 7.25 billion constant LCU, with Kyrgyzstan ahead.
- How many years of comparable data are there for Brazil and Kyrgyzstan?
- 7 years are reported by both, from 2019 to 2025.
- How do Brazil and Kyrgyzstan rank globally for discrepancy in expenditure estimate of gdp?
- Brazil ranks 18th and Kyrgyzstan ranks 17th 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.