Getting electricity: Mechanisms for restoring service (0-1) in Libya
Libya: Getting electricity: Mechanisms for restoring service (0-1) was 1 DB16-20 methodology in 2019. ▬ Flat
Getting electricity: Mechanisms for restoring service (0-1) in Libya, 2014–2019
Source: World Bank. Measured in DB16-20 methodology.
Analysis
The most recent figure for getting electricity: mechanisms for restoring service (0-1) in Libya is 1 DB16-20 methodology, measured in 2019. That is the highest value across all 6 years on record.
Compared with earlier readings it is unchanged over ten years.
Libya ranks 1st of 184 countries on this measure, in the top 10%.
Countries ranked near Libya
- 1 China 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 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 Cote 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 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 South Korea 1 DB16-20 methodology compare
- 1 Kuwait 1 DB16-20 methodology compare
- 1 Laos 1 DB16-20 methodology compare
- 1 Latvia 1 DB16-20 methodology compare
- 1 Lithuania 1 DB16-20 methodology compare
- 1 Luxembourg 1 DB16-20 methodology compare
- 1 Malawi 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 Slovakia 1 DB16-20 methodology compare
- 1 Slovenia 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 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 Turkey 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 Vietnam 1 DB16-20 methodology compare
- 1 Palestine 1 DB16-20 methodology compare
- 1 Zambia 1 DB16-20 methodology compare
More private sector data for Libya
- Merchandise trade 102.7% (2025)
- Food imports 21.6% (2019)
- Manufactures imports 62.7% (2019)
- Merchandise imports 19.31 billion current US$ (2025)
- Food exports 0.1% (2019)
- Manufactures exports 0.6% (2019)
- Merchandise exports 30.09 billion current US$ (2025)
- Commercial service exports 628.90 million current US$ (2023)
- Transport services 38.9% (2023)
- Computer, communications and other services 4.6% (2023)
Frequently asked questions
- What is getting electricity: mechanisms for restoring service (0-1) in Libya?
- Getting electricity: mechanisms for restoring service (0-1) in Libya 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 Libya?
- The highest recorded value was 1 DB16-20 methodology in 2014.
- What is the lowest getting electricity: mechanisms for restoring service (0-1) recorded in Libya?
- The lowest recorded value was 1 DB16-20 methodology in 2014.
- How does Libya rank for getting electricity: mechanisms for restoring service (0-1)?
- Libya ranks 1st out of 184 countries with data for 2019.
- Is getting electricity: mechanisms for restoring service (0-1) rising or falling in Libya?
- Over the last ten years it is unchanged. The long-run trend across the full record is flat.
- Where does this Libya 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
CSV · JSON — 6 observations, free to reuse under CC BY 4.0 (World Bank Open Data).
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.