Getting electricity: Mechanisms for restoring service (0-1) in Malawi
Malawi: Getting electricity: Mechanisms for restoring service (0-1) was 1 DB16-20 methodology in 2019. ◆ Volatile
Getting electricity: Mechanisms for restoring service (0-1) in Malawi, 2014–2019
Source: World Bank. Measured in DB16-20 methodology.
Analysis
In 2019, getting electricity: mechanisms for restoring service (0-1) in Malawi stood at 1 DB16-20 methodology. That is the highest value across all 6 years on record.
That places Malawi 1st out of 186 countries with data for 2019, putting it in the top 10%.
Countries ranked near Malawi
- 1 China (People’s Republic of) 1 DB16-20 methodology compare
- 1 India 1 DB16-20 methodology compare
- 1 Indonesia 1 DB16-20 methodology compare
- 1 Pakistan 1 DB16-20 methodology compare
- 1 United States 1 DB16-20 methodology compare
- 1 Mexico 1 DB16-20 methodology compare
- 1 Russia 1 DB16-20 methodology compare
- 1 Japan 1 DB16-20 methodology compare
- 1 Brazil 1 DB16-20 methodology compare
- 1 Albania 1 DB16-20 methodology compare
- 1 Algeria 1 DB16-20 methodology compare
- 1 Antigua and Barbuda 1 DB16-20 methodology compare
- 1 Argentina 1 DB16-20 methodology compare
- 1 Armenia 1 DB16-20 methodology compare
- 1 Australia 1 DB16-20 methodology compare
- 1 Austria 1 DB16-20 methodology compare
- 1 Azerbaijan 1 DB16-20 methodology compare
- 1 Bahamas 1 DB16-20 methodology compare
- 1 Bahrain 1 DB16-20 methodology compare
- 1 Barbados 1 DB16-20 methodology compare
- 1 Belarus 1 DB16-20 methodology compare
- 1 Belgium 1 DB16-20 methodology compare
- 1 Belize 1 DB16-20 methodology compare
- 1 Bolivia 1 DB16-20 methodology compare
- 1 Bosnia and Herzegovina 1 DB16-20 methodology compare
- 1 Brunei Darussalam 1 DB16-20 methodology compare
- 1 Bulgaria 1 DB16-20 methodology compare
- 1 Burkina Faso 1 DB16-20 methodology compare
- 1 Burundi 1 DB16-20 methodology compare
- 1 Cambodia 1 DB16-20 methodology compare
- 1 Canada 1 DB16-20 methodology compare
- 1 Chile 1 DB16-20 methodology compare
- 1 Colombia 1 DB16-20 methodology compare
- 1 Costa Rica 1 DB16-20 methodology compare
- 1 Côte d’Ivoire 1 DB16-20 methodology compare
- 1 Croatia 1 DB16-20 methodology compare
- 1 Cyprus 1 DB16-20 methodology compare
- 1 Czechia 1 DB16-20 methodology compare
- 1 Denmark 1 DB16-20 methodology compare
- 1 Djibouti 1 DB16-20 methodology compare
- 1 Dominica 1 DB16-20 methodology compare
- 1 Dominican Republic 1 DB16-20 methodology compare
- 1 Ecuador 1 DB16-20 methodology compare
- 1 Egypt 1 DB16-20 methodology compare
- 1 El Salvador 1 DB16-20 methodology compare
- 1 Estonia 1 DB16-20 methodology compare
- 1 Eswatini 1 DB16-20 methodology compare
- 1 Fiji 1 DB16-20 methodology compare
- 1 Finland 1 DB16-20 methodology compare
- 1 France 1 DB16-20 methodology compare
- 1 Gabon 1 DB16-20 methodology compare
- 1 Germany 1 DB16-20 methodology compare
- 1 Ghana 1 DB16-20 methodology compare
- 1 Greece 1 DB16-20 methodology compare
- 1 Guatemala 1 DB16-20 methodology compare
- 1 Hong Kong Special Administrative Region, People's Republic of China 1 DB16-20 methodology compare
- 1 Hungary 1 DB16-20 methodology compare
- 1 Iceland 1 DB16-20 methodology compare
- 1 Iran 1 DB16-20 methodology compare
- 1 Iraq 1 DB16-20 methodology compare
- 1 Ireland 1 DB16-20 methodology compare
- 1 Israel 1 DB16-20 methodology compare
- 1 Italy 1 DB16-20 methodology compare
- 1 Jamaica 1 DB16-20 methodology compare
- 1 Jordan 1 DB16-20 methodology compare
- 1 Kazakhstan 1 DB16-20 methodology compare
- 1 Kenya 1 DB16-20 methodology compare
- 1 Korea 1 DB16-20 methodology compare
- 1 Kosovo 1 DB16-20 methodology compare
- 1 Kuwait 1 DB16-20 methodology compare
- 1 Lao People’s Democratic Republic 1 DB16-20 methodology compare
- 1 Latvia 1 DB16-20 methodology compare
- 1 Libya 1 DB16-20 methodology compare
- 1 Lithuania 1 DB16-20 methodology compare
- 1 Luxembourg 1 DB16-20 methodology compare
- 1 Malaysia 1 DB16-20 methodology compare
- 1 Malta 1 DB16-20 methodology compare
- 1 Mauritius 1 DB16-20 methodology compare
- 1 Moldova 1 DB16-20 methodology compare
- 1 Montenegro 1 DB16-20 methodology compare
- 1 Morocco 1 DB16-20 methodology compare
- 1 Namibia 1 DB16-20 methodology compare
- 1 Netherlands 1 DB16-20 methodology compare
- 1 New Zealand 1 DB16-20 methodology compare
- 1 Nicaragua 1 DB16-20 methodology compare
- 1 North Macedonia 1 DB16-20 methodology compare
- 1 Norway 1 DB16-20 methodology compare
- 1 Oman 1 DB16-20 methodology compare
- 1 Palau 1 DB16-20 methodology compare
- 1 Panama 1 DB16-20 methodology compare
- 1 Papua New Guinea 1 DB16-20 methodology compare
- 1 Paraguay 1 DB16-20 methodology compare
- 1 Peru 1 DB16-20 methodology compare
- 1 Philippines 1 DB16-20 methodology compare
- 1 Poland 1 DB16-20 methodology compare
- 1 Portugal 1 DB16-20 methodology compare
- 1 Puerto Rico 1 DB16-20 methodology compare
- 1 Qatar 1 DB16-20 methodology compare
- 1 Romania 1 DB16-20 methodology compare
- 1 Rwanda 1 DB16-20 methodology compare
- 1 Samoa 1 DB16-20 methodology compare
- 1 San Marino 1 DB16-20 methodology compare
- 1 Saudi Arabia 1 DB16-20 methodology compare
- 1 Senegal 1 DB16-20 methodology compare
- 1 Serbia 1 DB16-20 methodology compare
- 1 Singapore 1 DB16-20 methodology compare
- 1 Slovak Republic 1 DB16-20 methodology compare
- 1 Slovenia 1 DB16-20 methodology compare
- 1 South Africa 1 DB16-20 methodology compare
- 1 Spain 1 DB16-20 methodology compare
- 1 Sri Lanka 1 DB16-20 methodology compare
- 1 Saint Lucia 1 DB16-20 methodology compare
- 1 Sudan 1 DB16-20 methodology compare
- 1 Suriname 1 DB16-20 methodology compare
- 1 Sweden 1 DB16-20 methodology compare
- 1 Switzerland 1 DB16-20 methodology compare
- 1 Taiwan Province of China 1 DB16-20 methodology compare
- 1 Tanzania 1 DB16-20 methodology compare
- 1 Thailand 1 DB16-20 methodology compare
- 1 Tonga 1 DB16-20 methodology compare
- 1 Trinidad and Tobago 1 DB16-20 methodology compare
- 1 Tunisia 1 DB16-20 methodology compare
- 1 Türkiye 1 DB16-20 methodology compare
- 1 Uganda 1 DB16-20 methodology compare
- 1 Ukraine 1 DB16-20 methodology compare
- 1 United Arab Emirates 1 DB16-20 methodology compare
- 1 United Kingdom 1 DB16-20 methodology compare
- 1 Uruguay 1 DB16-20 methodology compare
- 1 Uzbekistan 1 DB16-20 methodology compare
- 1 Vanuatu 1 DB16-20 methodology compare
- 1 Viet Nam 1 DB16-20 methodology compare
- 1 Palestine 1 DB16-20 methodology compare
- 1 Zambia 1 DB16-20 methodology compare
More private sector data for Malawi
- Merchandise trade 30.9% (2025)
- Food imports 11.8% (2024)
- Manufactures imports 68.1% (2024)
- Merchandise imports 3.66 billion current US$ (2025)
- Food exports 90.2% (2024)
- Manufactures exports 8.0% (2024)
- Merchandise exports 947.00 million current US$ (2025)
- Merchandise exports (current US$), per capita 42.63 current US$ per person (2025)
- Merchandise exports (current US$), per unit of GDP 0.0635 current US$ per US$ of GDP (2025)
- Merchandise exports (current US$), annual growth rate -1.15 % change on previous year (2025)
Frequently asked questions
- What is getting electricity: mechanisms for restoring service (0-1) in Malawi?
- Getting electricity: mechanisms for restoring service (0-1) in Malawi was 1 DB16-20 methodology in 2019, according to the World Bank.
- What is the highest getting electricity: mechanisms for restoring service (0-1) recorded in Malawi?
- The highest recorded value was 1 DB16-20 methodology in 2018.
- What is the lowest getting electricity: mechanisms for restoring service (0-1) recorded in Malawi?
- The lowest recorded value was 0 DB16-20 methodology in 2014.
- How does Malawi rank for getting electricity: mechanisms for restoring service (0-1)?
- Malawi ranks 1st out of 186 countries with data for 2019.
- Where does this Malawi data come from?
- The figures come from the World Bank, published as part of Getting electricity: Mechanisms for restoring service (0-1) (DB16-20 methodology). Statizoid updates them automatically from the source API.
Download this data
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About this data
The mechanisms for restoring service index evaluates what tools are used by the distribution utility to restore power supply. A score of 1 is assigned if the utility uses automated tools, such as an OMS/IMS or SCADA system. The index is computed based on the methodology in the DB16-20 studies.