Getting electricity: Mechanisms for restoring service (0-1) (DB16-20 methodology) by country
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.
Countries reporting
137
Highest
1 DB16-20 methodology
Albania
Lowest
0 DB16-20 methodology
Lesotho
Median
1 DB16-20 methodology
Years covered
6
2014–2019
Data points
1,122
What the numbers show
Getting electricity: Mechanisms for restoring service (0-1) (DB16-20 methodology) is currently reported for 137 countries. The highest value is 1 DB16-20 methodology in Albania; the lowest is 0 DB16-20 methodology in Lesotho.
The median across all reporting countries is 1 DB16-20 methodology, and the mean is 0.9854 DB16-20 methodology.
Getting electricity: Mechanisms for restoring service: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Albania | 1 DB16-20 methodology | 2019 | — | volatile |
| 1 | United Arab Emirates | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Argentina | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Armenia | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Antigua and Barbuda | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Australia | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Austria | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Azerbaijan | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Burundi | 1 DB16-20 methodology | 2019 | — | volatile |
| 1 | Belgium | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Burkina Faso | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Bulgaria | 1 DB16-20 methodology | 2019 | — | volatile |
| 1 | Bahrain | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Bahamas | 1 DB16-20 methodology | 2019 | — | volatile |
| 1 | Bosnia and Herzegovina | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Belarus | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Belize | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Bolivia | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Brazil | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Barbados | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Brunei | 1 DB16-20 methodology | 2019 | — | volatile |
| 1 | Canada | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Switzerland | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Chile | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | China | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Cote d'Ivoire | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Colombia | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Costa Rica | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Cyprus | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Czechia | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Germany | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Djibouti | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Dominica | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Denmark | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Dominican Republic | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Algeria | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Ecuador | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Egypt | 1 DB16-20 methodology | 2019 | — | volatile |
| 1 | Spain | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Estonia | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Finland | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Fiji | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | France | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Gabon | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | United Kingdom | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Ghana | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Greece | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Guatemala | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Hong Kong | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Croatia | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Hungary | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Indonesia | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | India | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Ireland | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Iran | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Iraq | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Iceland | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Israel | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Italy | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Jamaica | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Jordan | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Japan | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Kazakhstan | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Kenya | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Cambodia | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | South Korea | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Kuwait | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Laos | 1 DB16-20 methodology | 2019 | — | volatile |
| 1 | Libya | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Saint Lucia | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Sri Lanka | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Lithuania | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Luxembourg | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Latvia | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Morocco | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Moldova | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Mexico | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | North Macedonia | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Malta | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Montenegro | 1 DB16-20 methodology | 2019 | — | volatile |
| 1 | Mauritius | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Malawi | 1 DB16-20 methodology | 2019 | — | volatile |
| 1 | Malaysia | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Namibia | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Nicaragua | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Netherlands | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Norway | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | New Zealand | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Oman | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Pakistan | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Panama | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Peru | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Philippines | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Palau | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Papua New Guinea | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Poland | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Puerto Rico | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Portugal | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Paraguay | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Palestine | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Qatar | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Romania | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Russia | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Rwanda | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Saudi Arabia | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Sudan | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Senegal | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Singapore | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | El Salvador | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | San Marino | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Serbia | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Suriname | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Slovakia | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Slovenia | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Sweden | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Eswatini | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Thailand | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Tonga | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Trinidad and Tobago | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Tunisia | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Turkey | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Tanzania | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Uganda | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Ukraine | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Uruguay | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | United States | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Uzbekistan | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Vietnam | 1 DB16-20 methodology | 2019 | — | volatile |
| 1 | Vanuatu | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Samoa | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Kosovo | 1 DB16-20 methodology | 2019 | — | volatile |
| 1 | South Africa | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Zambia | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Taiwan | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Kosovo (UNSCR 1244) | 1 DB16-20 methodology | 2019 | — | volatile |
| 136 | Botswana | 0 DB16-20 methodology | 2019 | down 100.0% | volatile |
| 136 | Lesotho | 0 DB16-20 methodology | 2019 | down 100.0% | falling |
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.