Use of interpolation and extrapolation on original Gini coefficient in Zimbabwe
Zimbabwe: Use of interpolation and extrapolation on original Gini coefficient was 1,582 in 2017. ▲ Rising
Use of interpolation and extrapolation on original Gini coefficient data in Zimbabwe, 1820–2017
Source: Various sources (2020) – processed by Our World in Data.
Analysis
Zimbabwe recorded 1,582 for use of interpolation and extrapolation on original gini coefficient data in 2017.
Compared with earlier readings it is up 5.7% over ten years.
Over the whole period, use of interpolation and extrapolation on original gini coefficient data in Zimbabwe peaked at 2,211 in 2000 and was at its lowest, 461.19, in 1850.
That places Zimbabwe 148th out of 160 countries with data for 2017, putting it in the bottom quarter.
The long-run direction has been consistently rising across the 15 years of available data.
Use of interpolation and extrapolation on original Gini coefficient in Zimbabwe, year by year
| Year | Value | Change |
|---|---|---|
| 1820 | 525.81 | — |
| 1850 | 461.19 | -12.3% |
| 1870 | 569.18 | +23.4% |
| 1890 | 569.18 | +0.0% |
| 1910 | 1,323 | +132.4% |
| 1929 | 1,249 | -5.5% |
| 1950 | 1,117 | -10.6% |
| 1960 | 1,495 | +33.8% |
| 1970 | 2,043 | +36.7% |
| 1980 | 2,064 | +1.0% |
| 1990 | 2,160 | +4.7% |
| 2000 | 2,211 | +2.4% |
| 2005 | 1,496 | -32.3% |
| 2010 | 1,402 | -6.3% |
| 2017 | 1,582 | +12.8% |
Zimbabwe compared with similar countries
- Zimbabwe's 1,582 is below the median for lower middle income countries, which is 4,205, 38% of the median. (41 countries reporting)
- Zimbabwe's 1,582 is below the median for Sub-Saharan Africa, which is 2,331, 68% of the median. (44 countries reporting)
Biggest year-on-year movements
Years where Use of interpolation and extrapolation on original Gini coefficient in Zimbabwe changed far more than this series normally does. A large move can be a real event or a change in how the figure was measured — the source note below says who published it.
| Year | Change | From | To |
|---|---|---|---|
| 1910 | +132.4% | 569.18 | 1,323 |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1820s | 525.81 | 525.81 | 525.81 | 1 |
| 1850s | 461.19 | 461.19 | 461.19 | 1 |
| 1870s | 569.18 | 569.18 | 569.18 | 1 |
| 1890s | 569.18 | 569.18 | 569.18 | 1 |
| 1910s | 1,323 | 1,323 | 1,323 | 1 |
| 1920s | 1,249 | 1,249 | 1,249 | 1 |
| 1950s | 1,117 | 1,117 | 1,117 | 1 |
| 1960s | 1,495 | 1,495 | 1,495 | 1 |
| 1970s | 2,043 | 2,043 | 2,043 | 1 |
| 1980s | 2,064 | 2,064 | 2,064 | 1 |
| 1990s | 2,160 | 2,160 | 2,160 | 1 |
| 2000s | 1,854 | 1,496 | 2,211 | 2 |
| 2010s | 1,492 | 1,402 | 1,582 | 2 |
Countries ranked near Zimbabwe
- 145 North Korea 1,673 compare
- 146 Sierra Leone 1,644 compare
- 147 Mali 1,629 compare
- 149 Guinea 1,563 compare
- 150 Burkina Faso 1,530 compare
- 151 Guinea-Bissau 1,483 compare
More poverty & inequality data for Zimbabwe
- Number of income/consumption surveys in the past decade available via the World Bank 2 surveys (2025)
- Number of income/consumption surveys in the past decade available via 0 surveys per person (2025)
- Number of income/consumption surveys in the past decade available via 0 surveys per US$ of GDP (2025)
- Fertility rate vs. share living in extreme poverty 3.72 live births per woman (2023)
- Cereal yield vs. share in extreme poverty 743.9 kg per hectare (2023)
- Cereal yield vs extreme poverty, per unit of GDP 0 units per US$ of GDP (2023)
- Cereal yield vs extreme poverty, annual growth rate -22.26 % change on previous year (2023)
- Tax revenues vs income inequality, gaps filled 14.89 (2021)
- Tax revenue as share of GDP vs. income inequality 14.9% (2021)
- Tax revenues vs income inequality, per unit of GDP 0 units per US$ of GDP (2021)
Frequently asked questions
- What is use of interpolation and extrapolation on original gini coefficient data in Zimbabwe?
- Use of interpolation and extrapolation on original gini coefficient data in Zimbabwe was 1,582 in 2017, according to Various sources (2020) – processed by Our World in Data.
- What is the highest use of interpolation and extrapolation on original gini coefficient data recorded in Zimbabwe?
- The highest recorded value was 2,211 in 2000.
- What is the lowest use of interpolation and extrapolation on original gini coefficient data recorded in Zimbabwe?
- The lowest recorded value was 461.19 in 1850.
- How does Zimbabwe rank for use of interpolation and extrapolation on original gini coefficient data?
- Zimbabwe ranks 148th out of 160 countries with data for 2017.
- Is use of interpolation and extrapolation on original gini coefficient data rising or falling in Zimbabwe?
- Over the last ten years it is up 5.7%. The long-run trend across the full record is rising.
- Where does this Zimbabwe data come from?
- The figures come from Various sources (2020) – processed by Our World in Data, published as part of Use of interpolation and extrapolation on original Gini coefficient data. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 15 observations, free to reuse under CC BY 4.0 (Our World in Data).
About this data
In order to produce global estimates of historical poverty trends we have interpolated or extrapolated inequality data for missing observations. Green indicates observations of the Gini coefficient available in the original source.