Discrepancy in expenditure estimate of GDP in Zimbabwe
Zimbabwe: Discrepancy in expenditure estimate of GDP was -345.43 million current LCU in 2024. ◆ Volatile
Discrepancy in expenditure estimate of GDP in Zimbabwe, 1975–2024
Source: Country official statistics, National Statistical Organizations and/or Central Banks. Measured in current LCU.
Analysis
The most recent figure for discrepancy in expenditure estimate of gdp in Zimbabwe is -345.43 million current LCU, measured in 2024. That is the lowest value across all 50 years on record.
Compared with earlier readings it is down 17,271,600.0% on the previous year and down 345,430,000.0% over five years.
Over the whole period, discrepancy in expenditure estimate of gdp in Zimbabwe peaked at 31,700 current LCU in 1996 and was at its lowest, -345.43 million current LCU, in 2024.
That places Zimbabwe 167th out of 185 countries with data for 2024, putting it in the bottom quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Discrepancy in expenditure estimate of GDP in Zimbabwe, year by year
| Year | current LCU | Change |
|---|---|---|
| 1975 | 29,192 current LCU | — |
| 1976 | -7,846 current LCU | -126.9% |
| 1977 | -5,814 current LCU | -25.9% |
| 1978 | -15,647 current LCU | +169.1% |
| 1979 | -40,589 current LCU | +159.4% |
| 1980 | -39,969 current LCU | -1.5% |
| 1981 | -77,025 current LCU | +92.7% |
| 1982 | -71,933 current LCU | -6.6% |
| 1983 | -75,812 current LCU | +5.4% |
| 1984 | -9,522 current LCU | -87.4% |
| 1985 | 173.77 current LCU | -101.8% |
| 1986 | 108.66 current LCU | -37.5% |
| 1987 | 437.66 current LCU | +302.8% |
| 1988 | 287.55 current LCU | -34.3% |
| 1989 | -95.57 current LCU | -133.2% |
| 1990 | -122.9 current LCU | +28.6% |
| 1991 | 100 current LCU | -181.4% |
| 1992 | 0 current LCU | -100.0% |
| 1993 | 100 current LCU | — |
| 1994 | 0 current LCU | -100.0% |
| 1995 | 5,100 current LCU | — |
| 1996 | 31,700 current LCU | +521.6% |
| 1997 | -33,500 current LCU | -205.7% |
| 1998 | 0 current LCU | -100.0% |
| 1999 | 0 current LCU | — |
| 2000 | -100 current LCU | — |
| 2001 | -100 current LCU | -0.0% |
| 2002 | 0 current LCU | -100.0% |
| 2003 | 0 current LCU | — |
| 2004 | -100 current LCU | — |
| 2005 | 100 current LCU | -200.0% |
| 2006 | 0 current LCU | -100.0% |
| 2007 | 0 current LCU | — |
| 2008 | 100 current LCU | — |
| 2009 | 0 current LCU | -100.0% |
| 2010 | 0 current LCU | — |
| 2011 | 0 current LCU | — |
| 2012 | 100 current LCU | — |
| 2013 | 100 current LCU | +0.0% |
| 2014 | 0 current LCU | -100.0% |
| 2015 | -100 current LCU | — |
| 2016 | -0 current LCU | -100.0% |
| 2017 | -100 current LCU | +85899583386920.6% |
| 2018 | -100 current LCU | -0.0% |
| 2019 | -100 current LCU | -0.0% |
| 2020 | 0 current LCU | -100.0% |
| 2021 | 0 current LCU | — |
| 2022 | 0 current LCU | — |
| 2023 | 2,000 current LCU | — |
| 2024 | -345.43 million current LCU | -17271600.0% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | -8,141 current LCU | -40,589 current LCU | 29,192 current LCU | 5 |
| 1980s | -27,335 current LCU | -77,025 current LCU | 437.66 current LCU | 10 |
| 1990s | 337.71 current LCU | -33,500 current LCU | 31,700 current LCU | 10 |
| 2000s | -10 current LCU | -100 current LCU | 100 current LCU | 10 |
| 2010s | -20 current LCU | -100 current LCU | 100 current LCU | 10 |
| 2020s | -69.09 million current LCU | -345.43 million current LCU | 2,000 current LCU | 5 |
Countries ranked near Zimbabwe
- 164 Lao People's Democratic Republic -119.49 million current LCU compare
- 165 Palestine, State of -161.80 million current LCU compare
- 166 Samoa -214.89 million current LCU compare
- 168 Afghanistan -660.68 million current LCU compare
- 169 Australia -1.45 billion current LCU compare
- 170 Botswana -2.52 billion current LCU compare
More economy & growth data for Zimbabwe
- Africa's Development Dynamics (AfDD) Table 04 - Annual real GDP 1.02 Percent per annum (2029)
- Africa's Development Dynamics (AfDD) Table 02 - Annual real GDP 3 Percent per annum (2029)
- Services, value added (constant LCU), per capita 2,140 constant LCU per person (2025)
- GDP deflator (base year varies by country), annual growth rate 83.12 % change on previous year (2025)
- Gross value added at basic prices (GVA) (current US$), annual growth 23.9 % change on previous year (2025)
- Gross value added at basic prices (GVA) (current US$), per unit of GDP 0.9471 current US$ per US$ of GDP (2025)
- Gross value added at basic prices (GVA) (current US$), per capita 2,862 current US$ per person (2025)
- Gross value added at basic prices (GVA) (current LCU), annual growth 98.86 % change on previous year (2025)
- Gross value added at basic prices (GVA) (current LCU), per unit of GDP 30.11 current LCU per US$ of GDP (2025)
- Gross value added at basic prices (GVA) (current LCU), per capita 90,989 current LCU per person (2025)
Frequently asked questions
- What is discrepancy in expenditure estimate of gdp in Zimbabwe?
- Discrepancy in expenditure estimate of gdp in Zimbabwe was -345.43 million current LCU in 2024, according to Country official statistics, National Statistical Organizations and/or Central Banks.
- What is the highest discrepancy in expenditure estimate of gdp recorded in Zimbabwe?
- The highest recorded value was 31,700 current LCU in 1996.
- What is the lowest discrepancy in expenditure estimate of gdp recorded in Zimbabwe?
- The lowest recorded value was -345.43 million current LCU in 2024.
- How does Zimbabwe rank for discrepancy in expenditure estimate of gdp?
- Zimbabwe ranks 167th out of 185 countries with data for 2024.
- Where does this Zimbabwe data come from?
- The figures come from Country official statistics, National Statistical Organizations and/or Central Banks, published as part of Discrepancy in expenditure estimate of GDP (current LCU). Statizoid updates them automatically from the source API.
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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.