Ilo national vs modeled data, gaps filled in Zimbabwe
Zimbabwe: Ilo national vs modeled data, gaps filled was 12.13 in 2024. ▲ Rising
Ilo national vs modeled data, gaps filled in Zimbabwe, 1982–2024
Source: Statizoid (derived).
Analysis
Zimbabwe recorded 12.13 for ilo national vs modeled data, gaps filled in 2024. That is the highest value across all 19 years on record.
The figure is up 30.6% on the previous year and up 154.1% over ten years.
Over the whole period, ilo national vs modeled data, gaps filled in Zimbabwe peaked at 12.13 in 2024 and was at its lowest, 4.39, in 2004.
Zimbabwe ranks 17th of 185 countries on this measure, in the top 10%.
The long-run direction has been consistently rising across the 19 years of available data.
Ilo national vs modeled data, gaps filled in Zimbabwe, year by year
| Year | Value | Change |
|---|---|---|
| 1982 | 10.8 | — |
| 1987 | 7.18 | -33.5% |
| 1994 | 4.96 | -30.9% |
| 1995 | 5.62 | +13.3% |
| 1996 | 6.28 | +11.7% |
| 1997 | 6.93 | +10.5% |
| 1998 | 6.47 | -6.7% |
| 1999 | 6 | -7.2% |
| 2004 | 4.39 | -26.8% |
| 2011 | 5.37 | +22.2% |
| 2012 | 11.07 | +106.2% |
| 2013 | 7.92 | -28.4% |
| 2014 | 4.77 | -39.7% |
| 2019 | 7.37 | +54.4% |
| 2020 | 8.42 | +14.1% |
| 2021 | 9.46 | +12.4% |
| 2022 | 10 | +5.7% |
| 2023 | 9.29 | -7.1% |
| 2024 | 12.13 | +30.6% |
Zimbabwe compared with similar countries
- Zimbabwe's 12.13 is above the median for lower middle income countries, which is 5.03, 2.4× the median. (42 countries reporting)
- Zimbabwe's 12.13 is above the median for Sub-Saharan Africa, which is 5.58, 2.2× the median. (33 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1980s | 8.99 | 7.18 | 10.8 | 2 |
| 1990s | 6.04 | 4.96 | 6.93 | 6 |
| 2000s | 4.39 | 4.39 | 4.39 | 1 |
| 2010s | 7.3 | 4.77 | 11.07 | 5 |
| 2020s | 9.86 | 8.42 | 12.13 | 5 |
Countries ranked near Zimbabwe
More reference data data for Zimbabwe
- Spring temperature anomalies -0.1903 (2026)
- Autumn temperature anomalies 0.2726 (2026)
- Summer temperature anomalies 0.8086 (2026)
- Country level monthly temperature anomalies -0.5886 (2026)
- Exchange rate, new LCU per USD extended backward, period average 58,959 (2026)
- Exchange rate, old LCU per USD extended forward, period average 58,959 (2026)
- Official exchange rate, LCU per USD, period average 58,959 (2026)
- Urban area long term, annual growth rate 1.8 % change on previous year (2025)
- Urban area long term, per unit of GDP 0 units per US$ of GDP (2025)
- Urban area long term, per capita 0.0002 units per person (2025)
Frequently asked questions
- What is ilo national vs modeled data, gaps filled in Zimbabwe?
- Ilo national vs modeled data, gaps filled in Zimbabwe was 12.13 in 2024, according to Statizoid (derived).
- What is the highest ilo national vs modeled data, gaps filled recorded in Zimbabwe?
- The highest recorded value was 12.13 in 2024.
- What is the lowest ilo national vs modeled data, gaps filled recorded in Zimbabwe?
- The lowest recorded value was 4.39 in 2004.
- How does Zimbabwe rank for ilo national vs modeled data, gaps filled?
- Zimbabwe ranks 17th out of 185 countries with data for 2024.
- Is ilo national vs modeled data, gaps filled rising or falling in Zimbabwe?
- Over the last ten years it is up 154.1%. The long-run trend across the full record is rising.
- Where does this Zimbabwe data come from?
- The figures come from Statizoid (derived), published as part of Ilo national vs modeled data, gaps filled. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 19 observations, free to reuse under Derived by Statizoid from the sources named on the page.
How this figure is calculated
Ilo national vs modeled data with 551 missing years estimated by linear interpolation between the nearest real observations. Only gaps of 4 years or fewer are filled, and never beyond the first or last actual measurement — these are filled holes, not forecasts.
Computed from
- Ilo national vs modeled data Our World in Data
Statizoid computes this series; the underlying measurements belong to the publishers named above. The arithmetic is applied to every country and year where both inputs report, and nothing is estimated unless the page says so.
About this data
Ilo national vs modeled data with 551 missing years estimated by linear interpolation between the nearest real observations. Only gaps of 4 years or fewer are filled, and never beyond the first or last actual measurement — these are filled holes, not forecasts.