Risks related to the intensification of recurrent shocks
2020
Methodology
Concretely this indicator assesses the risks associated with the condition of rainfall, temperature and cyclones. It also takes into account the trend in shocks of rainfall and temperature as well as the storms intensity and its trend. Performance score from 0 to 100. The lowest score reflects the best situation.
Source: Ferdi
Indicators used in this group
- Temperature shocksClimatic Research Unit, TS 3.22 database." data-html="true" data-placement="left" data-toggle="popover" href="/en/indicators/temperature-shocks">
- Rainfall shocksClimatic Research Unit, TS 3.22 database." data-html="true" data-placement="left" data-toggle="popover" href="/en/indicators/rainfall-shocks">
- Storms
Score
- Africa62
- Sub-Saharan Africa62
- Middle East and North Africa63
- Southern Africa60
- Central Africa59
- East Africa65
- West Africa62
- North Africa63
- Brazil-India-China (BIC)58
- Least Developped Countries (LDC)62
- No LDC62
- High income non OECD57
- Upper middle income countries62
- Lower middle income62
- Low income countries62
- Outsize the Franc zone62
- Franc CFA zone62
- WAMEU64
- CEMAC60
- Algeria65
- Angola60
- Benin63
- Botswana62
- Brazil58
- Burkina Faso65
- Burundi59
- Cameroon58
- Cape Verde63
- Central African Republic59
- Chad67
- China55
- Comoros64
- Congo, Dem. Rep.58
- Congo, Rep58
- Cote d'Ivoire60
- Djibouti67
- Egypt64
- Equatorial Guinea57
- Eritrea66
- Ethiopia60
- Gabon58
- Gambia63
- Ghana62
- Guinea59
- Guinea-Bissau59
- India61
- Kenya63
- Lesotho55
- Liberia54
- Libya65
- Madagascar76
- Malawi59
- Mali67
- Mauritania68
- Mauritius78
- Morocco58
- Mozambique67
- Namibia62
- Niger69
- Nigeria62
- Rwanda58
- Sahrawi Arab Democratic Republic-
- Sao Tome and Principe55
- Senegal65
- Seychelles64
- Sierra Leone58
- Somalia67
- South Africa60
- South Sudan65
- Sudan68
- Swaziland58
- Tanzania60
- Togo61
- Tunisia61
- Uganda61
- Zambia61
- Zimbabwe60