Climate related disasters frequency, Number of People Affected: Drought (Not Applicable) by country
This dataset provides information on global climate and weather patterns, providing insights into temperature variations, land cover accounts, and shifts in mean sea levels.
What the numbers show
Climate related disasters frequency, Number of People Affected: Drought (Not Applicable) is currently reported for 52 countries. The highest value is 24.10 million in Ethiopia; the lowest is 0 in Lao People's Democratic Republic.
The median across all reporting countries is 1.45 million, and the mean is 3.16 million.
Over the past decade 21 countries rose and 20 fell. The largest increase was in Cameroon (up 19,809.4%), and the largest decrease in Burundi (down 100.0%).
Climate related disasters frequency, Number of People Affected: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Ethiopia | 24.10 million | 2022 | up 2,310.0% | volatile |
| 2 | Indonesia | 18.75 million | 2023 | — | volatile |
| 3 | South Africa | 12.00 million | 2021 | up 344.4% | volatile |
| 4 | Sudan | 11.84 million | 2022 | up 270.0% | volatile |
| 5 | Afghanistan | 11.00 million | 2021 | up 528.6% | volatile |
| 6 | Zambia | 9.80 million | 2024 | up 585.3% | volatile |
| 7 | India | 8.20 million | 2018 | — | volatile |
| 8 | Zimbabwe | 7.60 million | 2024 | up 76.7% | volatile |
| 9 | Somalia | 7.10 million | 2021 | up 77.5% | volatile |
| 10 | Malawi | 6.10 million | 2024 | down 9.0% | volatile |
| 11 | Kenya | 4.50 million | 2020 | down 44.1% | volatile |
| 12 | Niger | 4.40 million | 2022 | up 46.7% | volatile |
| 13 | Haiti | 3.60 million | 2016 | up 10,185.7% | volatile |
| 14 | Burkina Faso | 3.50 million | 2022 | up 22.8% | volatile |
| 15 | Mozambique | 3.30 million | 2023 | up 617.4% | volatile |
| 16 | Angola | 2.80 million | 2024 | up 52.7% | volatile |
| 17 | Mexico | 2.50 million | 2011 | — | volatile |
| 17 | Cambodia | 2.50 million | 2016 | up 316.7% | volatile |
| 19 | Cameroon | 2.39 million | 2022 | up 19,809.4% | volatile |
| 20 | Chad | 2.14 million | 2022 | up 33.5% | volatile |
| 21 | Tanzania, United Republic of | 2.10 million | 2021 | up 110.0% | volatile |
| 22 | Bolivia, Plurinational State of | 1.95 million | 2023 | up 472.4% | volatile |
| 23 | Mali | 1.74 million | 2022 | down 50.4% | volatile |
| 24 | Madagascar | 1.68 million | 2020 | up 133.3% | volatile |
| 25 | Namibia | 1.66 million | 2024 | up 112.2% | volatile |
| 26 | Guatemala | 1.50 million | 2018 | down 40.0% | volatile |
| 27 | Mauritania | 1.40 million | 2020 | up 67.1% | volatile |
| 28 | Rwanda | 1.00 million | 2003 | up 1,119.5% | volatile |
| 29 | Lesotho | 699,049 | 2023 | down 3.6% | rising |
| 30 | Uganda | 518,000 | 2022 | down 22.6% | rising |
| 31 | El Salvador | 386,610 | 2018 | — | volatile |
| 32 | Senegal | 320,000 | 2018 | down 62.4% | volatile |
| 33 | Nicaragua | 300,000 | 2018 | — | volatile |
| 34 | Viet Nam | 266,000 | 2024 | down 84.8% | volatile |
| 35 | Eswatini | 232,000 | 2019 | down 43.4% | volatile |
| 36 | Sri Lanka | 222,091 | 2019 | down 87.7% | volatile |
| 37 | Djibouti | 192,168 | 2022 | down 4.0% | volatile |
| 38 | Cuba | 100,000 | 2015 | — | volatile |
| 39 | Cape Verde | 46,093 | 2022 | down 34.2% | volatile |
| 40 | Botswana | 37,000 | 2023 | — | volatile |
| 41 | Spain | 26,000 | 2023 | — | volatile |
| 42 | Philippines | 16,000 | 2019 | — | volatile |
| 43 | Honduras | 10,300 | 2023 | down 91.8% | volatile |
| 44 | Australia | 0 | 2018 | — | volatile |
| 44 | Burundi | 0 | 2011 | down 100.0% | volatile |
| 44 | Thailand | 0 | 2019 | down 100.0% | volatile |
| 44 | Brazil | 0 | 2024 | down 100.0% | volatile |
| 44 | Russian Federation | 0 | 2012 | down 100.0% | volatile |
| 44 | Paraguay | 0 | 2016 | down 100.0% | volatile |
| 44 | Peru | 0 | 2006 | down 100.0% | volatile |
| 44 | China | 0 | 2024 | down 100.0% | volatile |
| 44 | Lao People's Democratic Republic | 0 | 2019 | — | volatile |
About this data
This dataset provides information on global climate and weather patterns, providing insights into temperature variations, land cover accounts, and shifts in mean sea levels.