Droughts, floods, extreme temperatures (% of population, average 1990-2009)
Compare droughts, floods, extreme temperatures (% of population, average 1990-2009) across 168 countries or territories using one fixed 2009 World Bank reference slice.
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Key Insights
- •168 ISO-mapped countries or territories have a finite % observation in the fixed 2009 slice.
- •Eswatini has the highest published value (9.22659 %).
- •Denmark has the lowest published value (0 %).
Country Rankings
Top 10 Countries
Bottom 10 Countries
Data Analysis
Value Distribution
How countries are distributed across the value range
Regional Comparison
Average values by world region (Global avg: 1.2%)
Percentile Profile
The curve shows how values change from the lowest to the highest country. Steep sections reveal inequality or outliers.
About This Statistic
Droughts, floods and extreme temperatures is the annual average percentage of the population that is affected by natural disasters classified as either droughts, floods, or extreme temperature events. A drought is an extended period of time characterized by a deficiency in a region's water supply that is the result of constantly below average precipitation. A drought can lead to losses to agriculture, affect inland navigation and hydropower plants, and cause a lack of drinking water and famine. A flood is a significant rise of water level in a stream, lake, reservoir or coastal region. Extreme temperature events are either cold waves or heat waves. A cold wave can be both a prolonged period of excessively cold weather and the sudden invasion of very cold air over a large area. Along with frost it can cause damage to agriculture, infrastructure, and property. A heat wave is a prolonged period of excessively hot and sometimes also humid weather relative to normal climate patterns of a certain region. Population affected is the number of people injured, left homeless or requiring immediate assistance during a period of emergency resulting from a natural disaster; it can also include displaced or evacuated people. Average percentage of population affected is calculated by dividing the sum of total affected for the period stated by the sum of the annual population figures for the period stated.
MapTheory uses only finite ISO-mapped observations from the fixed 2009 World Bank slice recorded below. Aggregates, missing values, non-ISO geographies, conflicting duplicate observations, and every other year or dimension slice are excluded; MapTheory never imputes or interpolates missing countries.
Methodology
Droughts, floods and extreme temperatures is the annual average percentage of the population that is affected by natural disasters classified as either droughts, floods, or extreme temperature events. A drought is an extended period of time characterized by a deficiency in a region's water supply that is the result of constantly below average precipitation. A drought can lead to losses to agriculture, affect inland navigation and hydropower plants, and cause a lack of drinking water and famine. A flood is a significant rise of water level in a stream, lake, reservoir or coastal region. Extreme temperature events are either cold waves or heat waves. A cold wave can be both a prolonged period of excessively cold weather and the sudden invasion of very cold air over a large area. Along with frost it can cause damage to agriculture, infrastructure, and property. A heat wave is a prolonged period of excessively hot and sometimes also humid weather relative to normal climate patterns of a certain region. Population affected is the number of people injured, left homeless or requiring immediate assistance during a period of emergency resulting from a natural disaster; it can also include displaced or evacuated people. Average percentage of population affected is calculated by dividing the sum of total affected for the period stated by the sum of the annual population figures for the period stated.
Full Data
| Rank ↑ | Country ↕ | Value ↕ |
|---|---|---|
| 1 | Eswatini | 9.2% |
| 2 | Malawi | 8.8% |
| 3 | People's Republic of China | 8.0% |
| 4 | Niger | 7.5% |
| 5 | Eritrea | 7.3% |
| 6 | Guyana | 7.2% |
| 7 | Djibouti | 6.8% |
| 8 | Cambodia | 6.6% |
| 9 | Kenya | 6.5% |
| 10 | Tajikistan | 5.4% |
| 11 | Albania | 5.3% |
| 12 | Kiribati | 5.0% |
| 13 | Somalia | 4.6% |
| 14 | Bangladesh | 4.6% |
| 15 | India | 4.4% |
| 16 | Zambia | 4.2% |
| 17 | Thailand | 3.8% |
| 18 | Mozambique | 3.7% |
| 19 | Lesotho | 3.4% |
| 20 | Namibia | 3.4% |
| 21 | Ethiopia | 3.3% |
| 22 | Mauritania | 3.1% |
| 23 | Islamic Republic of Iran | 3.1% |
| 24 | Australia | 3.0% |
| 25 | Sudan | 2.8% |
| 26 | Chad | 2.7% |
| 27 | Lao People's Democratic Republic | 2.7% |
| 28 | Mongolia | 2.6% |
| 29 | North Korea | 2.5% |
| 30 | Burundi | 2.4% |
| 31 | Sri Lanka | 2.2% |
| 32 | Kyrgyzstan | 2.1% |
| 33 | Peru | 2.0% |
| 34 | Liberia | 1.9% |
| 35 | South Africa | 1.8% |
| 36 | Fiji | 1.7% |
| 37 | Vietnam | 1.6% |
| 38 | United Republic of Tanzania | 1.5% |
| 39 | Micronesia, Federated States of | 1.3% |
| 40 | Guatemala | 1.3% |
| 41 | Bolivia | 1.3% |
| 42 | Rwanda | 1.3% |
| 43 | Honduras | 1.3% |
| 44 | Burkina Faso | 1.3% |
| 45 | Jamaica | 1.1% |
| 46 | Azerbaijan | 1.1% |
| 47 | Afghanistan | 1.1% |
| 48 | Pakistan | 1.1% |
| 49 | Angola | 1.0% |
| 50 | Ghana | 1.0% |
| 51 | Madagascar | 0.9% |
| 52 | Benin | 0.9% |
| 53 | Uganda | 0.9% |
| 54 | Haiti | 0.8% |
| 55 | Nicaragua | 0.8% |
| 56 | Philippines | 0.8% |
| 57 | Belize | 0.8% |
| 58 | Georgia | 0.8% |
| 59 | Botswana | 0.7% |
| 60 | Papua New Guinea | 0.7% |
| 61 | Spain | 0.7% |
| 62 | Cuba | 0.7% |
| 63 | Paraguay | 0.7% |
| 64 | Nepal | 0.7% |
| 65 | Costa Rica | 0.7% |
| 66 | Colombia | 0.7% |
| 67 | Mali | 0.7% |
| 68 | Senegal | 0.6% |
| 69 | Guinea-Bissau | 0.5% |
| 70 | Togo | 0.5% |
| 71 | Syrian Arab Republic | 0.5% |
| 72 | Bosnia and Herzegovina | 0.5% |
| 73 | Brazil | 0.5% |
| 74 | Armenia | 0.5% |
| 75 | Jordan | 0.4% |
| 76 | El Salvador | 0.4% |
| 77 | Moldova, Republic of | 0.3% |
| 78 | Suriname | 0.3% |
| 79 | Ecuador | 0.3% |
| 80 | The Republic of North Macedonia | 0.3% |
| 81 | Ukraine | 0.3% |
| 82 | Uruguay | 0.3% |
| 83 | Republic of the Congo | 0.3% |
| 84 | Chile | 0.3% |
| 85 | Sierra Leone | 0.2% |
| 86 | Kazakhstan | 0.2% |
| 87 | United States of America | 0.2% |
| 88 | Republic of The Gambia | 0.2% |
| 89 | Panama | 0.2% |
| 90 | Central African Republic | 0.2% |
| 91 | Guinea | 0.2% |
| 92 | Argentina | 0.2% |
| 93 | Indonesia | 0.2% |
| 94 | Czech Republic | 0.2% |
| 95 | Venezuela | 0.2% |
| 96 | Mexico | 0.1% |
| 97 | Türkiye | 0.1% |
| 98 | Russian Federation | 0.1% |
| 99 | Uzbekistan | 0.1% |
| 100 | Vanuatu | 0.1% |
| 101 | Yemen | 0.1% |
| 102 | Tunisia | 0.1% |
| 103 | Malaysia | 0.1% |
| 104 | Myanmar | 0.1% |
| 105 | Solomon Islands | 0.1% |
| 106 | Hungary | 0.1% |
| 107 | Romania | 0.1% |
| 108 | South Korea | 0.1% |
| 109 | Dominican Republic | 0.1% |
| 110 | Seychelles | 0.1% |
| 111 | Morocco | 0.1% |
| 112 | Cameroon | 0.1% |
| 113 | Marshall Islands | 0.1% |
| 114 | Nigeria | 0.1% |
| 115 | Slovakia | 0.0% |
| 116 | Algeria | 0.0% |
| 117 | Austria | 0.0% |
| 118 | Germany | 0.0% |
| 119 | United Kingdom | 0.0% |
| 120 | Poland | 0.0% |
| 121 | Maldives | 0.0% |
| 122 | Timor-Leste | 0.0% |
| 123 | Lebanon | 0.0% |
| 124 | Comoros | 0.0% |
| 125 | Belarus | 0.0% |
| 126 | Japan | 0.0% |
| 127 | Democratic Republic of the Congo | 0.0% |
| 128 | Puerto Rico | 0.0% |
| 129 | Iraq | 0.0% |
| 130 | Bhutan | 0.0% |
| 131 | Egypt | 0.0% |
| 132 | Montenegro | 0.0% |
| 133 | New Zealand | 0.0% |
| 134 | Canada | 0.0% |
| 135 | Serbia | 0.0% |
| 136 | Cape Verde | 0.0% |
| 137 | Saint Vincent and the Grenadines | 0.0% |
| 138 | Bulgaria | 0.0% |
| 139 | Italy | 0.0% |
| 140 | Norway | 0.0% |
| 141 | Greece | 0.0% |
| 142 | France | 0.0% |
| 143 | Saudi Arabia | 0.0% |
| 144 | Ireland | 0.0% |
| 145 | Netherlands | 0.0% |
| 146 | Hong Kong | 0.0% |
| 147 | Switzerland | 0.0% |
| 148 | Cyprus | 0.0% |
| 149 | Croatia | 0.0% |
| 150 | Portugal | 0.0% |
| 151 | Belgium | 0.0% |
| 152 | Trinidad and Tobago | 0.0% |
| 153 | Israel | 0.0% |
| 154 | Cote d'Ivoire | 0.0% |
| 155 | Kuwait | 0.0% |
| 156 | Turkmenistan | 0.0% |
| 157 | Finland | 0.0% |
| 158 | American Samoa | 0.0% |
| 159 | Denmark | 0.0% |
| 160 | Estonia | 0.0% |
| 161 | Latvia | 0.0% |
| 162 | Libya | 0.0% |
| 163 | Lithuania | 0.0% |
| 164 | Luxembourg | 0.0% |
| 165 | Mauritius | 0.0% |
| 166 | Slovenia | 0.0% |
| 167 | Sweden | 0.0% |
| 168 | Samoa | 0.0% |
Topics
Data Source
This data comes from World Bank World Development Indicators (2009).
View Original Source