People affected by disaster, Number (Not Applicable), gaps filled in Malawi
Malawi: People affected by disaster, Number (Not Applicable), gaps filled was 6.21 million in 2024. ◆ Volatile
People affected by disaster, Number (Not Applicable), gaps filled in Malawi, 1982–2024
Source: Statizoid (derived).
Analysis
The most recent figure for people affected by disaster, number (not applicable), gaps filled in Malawi is 6.21 million, measured in 2024.
That represents a change of up 173.5% on the previous year and up 68.4% over ten years.
Over the whole period, people affected by disaster, number (not applicable), gaps filled in Malawi peaked at 7.34 million in 2015 and was at its lowest, 1,300, in 1995.
That places Malawi 5th out of 183 countries with data for 2024, putting it in the top 10%.
The series is highly variable year to year, so single readings are best treated with caution.
People affected by disaster, Number (Not Applicable), gaps filled in Malawi, year by year
| Year | Value | Change |
|---|---|---|
| 1982 | 6,000 | — |
| 1987 | 1.43 million | +23721.2% |
| 1988 | 764,635 | -46.5% |
| 1989 | 100,000 | -86.9% |
| 1990 | 2.80 million | +2700.0% |
| 1991 | 150,000 | -94.6% |
| 1992 | 7.00 million | +4566.7% |
| 1993 | 4.67 million | -33.3% |
| 1994 | 2.33 million | -50.0% |
| 1995 | 1,300 | -99.9% |
| 1996 | 200,650 | +15334.6% |
| 1997 | 400,000 | +99.4% |
| 1998 | 15,000 | -96.2% |
| 1999 | 2,000 | -86.7% |
| 2000 | 20,000 | +900.0% |
| 2001 | 508,750 | +2443.8% |
| 2002 | 3.23 million | +534.1% |
| 2003 | 19,500 | -99.4% |
| 2004 | 2.58 million | +13141.0% |
| 2005 | 5.14 million | +99.2% |
| 2006 | 16,000 | -99.7% |
| 2007 | 721,965 | +4412.3% |
| 2008 | 16,380 | -97.7% |
| 2009 | 18,835 | +15.0% |
| 2010 | 21,290 | +13.0% |
| 2011 | 83,587 | +292.6% |
| 2012 | 2.00 million | +2288.8% |
| 2013 | 33,000 | -98.3% |
| 2014 | 3.69 million | +11069.7% |
| 2015 | 7.34 million | +99.1% |
| 2016 | 2,800 | -100.0% |
| 2017 | 55,921 | +1897.2% |
| 2018 | 9,613 | -82.8% |
| 2019 | 991,755 | +10216.8% |
| 2020 | 2,250 | -99.8% |
| 2021 | 55,551 | +2368.9% |
| 2022 | 3.72 million | +6593.5% |
| 2023 | 2.27 million | -39.0% |
| 2024 | 6.21 million | +173.5% |
Malawi compared with similar countries
- Malawi's 6.21 million is above the median for low income countries, which is 226,000, 27.5× the median. (25 countries reporting)
- Malawi's 6.21 million is above the median for Sub-Saharan Africa, which is 140,527, 44.2× the median. (45 countries reporting)
Biggest year-on-year movements
Years where People affected by disaster, Number (Not Applicable), gaps filled in Malawi 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 |
|---|---|---|---|
| 1987 | +23721.2% | 6,000 | 1.43 million |
| 1996 | +15334.6% | 1,300 | 200,650 |
| 2004 | +13141.0% | 19,500 | 2.58 million |
| 2014 | +11069.7% | 33,000 | 3.69 million |
| 2019 | +10216.8% | 9,613 | 991,755 |
| 2022 | +6593.5% | 55,551 | 3.72 million |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1980s | 574,976 | 6,000 | 1.43 million | 4 |
| 1990s | 1.76 million | 1,300 | 7.00 million | 10 |
| 2000s | 1.23 million | 16,000 | 5.14 million | 10 |
| 2010s | 1.42 million | 2,800 | 7.34 million | 10 |
| 2020s | 2.45 million | 2,250 | 6.21 million | 5 |
Countries ranked near Malawi
More climate change data for Malawi
- Nutrient nitrogen N (total) — Synthetic fertilizers (Agricultural) 415.04 million kg (2050)
- Emissions from livestock — Emissions (CO2eq) 4,106 kt (2050)
- Emissions from livestock — Emissions (CO2eq) from N2O 1,605 kt (2050)
- Emissions from livestock — Emissions (CO2eq) from CH4 2,501 kt (2050)
- Emissions from livestock — Emissions 6.06 kt (2050)
- Emissions from livestock — Emissions 89.31 kt (2050)
- Emissions from crops — Emissions (CO2eq) 3,185 kt (2050)
- Emissions from crops — Emissions (CO2eq) from N2O 2,819 kt (2050)
- Emissions from crops — Emissions (CO2eq) from CH4 366.56 kt (2050)
- Emissions from crops — Emissions 10.64 kt (2050)
Frequently asked questions
- What is people affected by disaster, number (not applicable), gaps filled in Malawi?
- People affected by disaster, number (not applicable), gaps filled in Malawi was 6.21 million in 2024, according to Statizoid (derived).
- What is the highest people affected by disaster, number (not applicable), gaps filled recorded in Malawi?
- The highest recorded value was 7.34 million in 2015.
- What is the lowest people affected by disaster, number (not applicable), gaps filled recorded in Malawi?
- The lowest recorded value was 1,300 in 1995.
- How does Malawi rank for people affected by disaster, number (not applicable), gaps filled?
- Malawi ranks 5th out of 183 countries with data for 2024.
- Is people affected by disaster, number (not applicable), gaps filled rising or falling in Malawi?
- Over the last ten years it is up 68.4%. The long-run trend across the full record is volatile.
- Where does this Malawi data come from?
- The figures come from Statizoid (derived), published as part of People affected by disaster, Number (Not Applicable), gaps filled. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 39 observations, free to reuse under Derived by Statizoid from the sources named on the page.
How this figure is calculated
People affected by disaster, Number (Not Applicable) with 1,354 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
- People affected by disaster, Number International Monetary Fund
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
People affected by disaster, Number (Not Applicable) with 1,354 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.