Getting electricity: Total duration and frequency of outages per customer a year (0-3) (DB16-20 methodology) by country
The total duration and frequency of outages per customer a year index evaluates the quality of the power supply. If SAIDI and SAIFI are 12 (equivalent to an outage of one hour each month) or below, a score of 1 is assigned. If SAIDI and SAIFI are 4 (equivalent to an outage of one hour each quarter) or below, 1...
What the numbers show
Getting electricity: Total duration and frequency of outages per customer a year (0-3) (DB16-20 methodology) is currently reported for 113 countries. The highest value is 3 DB16-20 methodology in United Arab Emirates; the lowest is 0 DB16-20 methodology in Türkiye.
The median across all reporting countries is 2 DB16-20 methodology, and the mean is 2.08 DB16-20 methodology.
Over the past decade 25 countries rose and 7 fell. The largest increase was in Antigua and Barbuda (up 100.0%), and the largest decrease in Puerto Rico (down 100.0%).
Getting electricity: Total duration and frequency of outages per: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | United Arab Emirates | 3 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Austria | 3 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Azerbaijan | 3 DB16-20 methodology | 2019 | up 50.0% | rising |
| 1 | Belgium | 3 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Bahrain | 3 DB16-20 methodology | 2019 | up 50.0% | rising |
| 1 | Belarus | 3 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Brunei Darussalam | 3 DB16-20 methodology | 2019 | up 50.0% | rising |
| 1 | Switzerland | 3 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | China | 3 DB16-20 methodology | 2019 | up 50.0% | rising |
| 1 | Costa Rica | 3 DB16-20 methodology | 2019 | unchanged | falling |
| 1 | Cyprus | 3 DB16-20 methodology | 2019 | up 50.0% | rising |
| 1 | Czechia | 3 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Germany | 3 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Dominica | 3 DB16-20 methodology | 2019 | up 50.0% | rising |
| 1 | Denmark | 3 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Spain | 3 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Estonia | 3 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Finland | 3 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | France | 3 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | United Kingdom of Great Britain and Northern Ireland | 3 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Hong Kong, China | 3 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Ireland | 3 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Iceland | 3 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Japan | 3 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Kazakhstan | 3 DB16-20 methodology | 2019 | up 50.0% | rising |
| 1 | Republic of Korea | 3 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Kuwait | 3 DB16-20 methodology | 2019 | up 50.0% | rising |
| 1 | Saint Lucia | 3 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Lithuania | 3 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Luxembourg | 3 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Latvia | 3 DB16-20 methodology | 2019 | up 50.0% | rising |
| 1 | Mexico | 3 DB16-20 methodology | 2019 | up 38.2% | rising |
| 1 | Malaysia | 3 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Namibia | 3 DB16-20 methodology | 2019 | — | rising |
| 1 | Netherlands | 3 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Portugal | 3 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Qatar | 3 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Russian Federation | 3 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Singapore | 3 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Slovakia | 3 DB16-20 methodology | 2019 | up 50.0% | rising |
| 1 | Slovenia | 3 DB16-20 methodology | 2019 | unchanged | rising |
| 1 | Sweden | 3 DB16-20 methodology | 2019 | up 50.0% | rising |
| 1 | Seychelles | 3 DB16-20 methodology | 2019 | up 50.0% | rising |
| 1 | Thailand | 3 DB16-20 methodology | 2019 | up 50.0% | rising |
| 1 | Uzbekistan | 3 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Taiwan, China | 3 DB16-20 methodology | 2019 | unchanged | flat |
| 47 | United States of America | 2.6 DB16-20 methodology | 2019 | unchanged | flat |
| 48 | Antigua and Barbuda | 2 DB16-20 methodology | 2019 | up 100.0% | rising |
| 48 | Australia | 2 DB16-20 methodology | 2019 | unchanged | flat |
| 48 | Bosnia and Herzegovina | 2 DB16-20 methodology | 2019 | up 100.0% | rising |
| 48 | Canada | 2 DB16-20 methodology | 2019 | unchanged | flat |
| 48 | Chile | 2 DB16-20 methodology | 2019 | unchanged | rising |
| 48 | Ecuador | 2 DB16-20 methodology | 2019 | up 100.0% | rising |
| 48 | Egypt | 2 DB16-20 methodology | 2019 | — | volatile |
| 48 | Greece | 2 DB16-20 methodology | 2019 | unchanged | flat |
| 48 | Guatemala | 2 DB16-20 methodology | 2019 | unchanged | rising |
| 48 | Croatia | 2 DB16-20 methodology | 2019 | up 100.0% | rising |
| 48 | Hungary | 2 DB16-20 methodology | 2019 | unchanged | flat |
| 48 | Indonesia | 2 DB16-20 methodology | 2019 | up 63.9% | rising |
| 48 | Israel | 2 DB16-20 methodology | 2019 | unchanged | flat |
| 48 | Italy | 2 DB16-20 methodology | 2019 | unchanged | flat |
| 48 | Jordan | 2 DB16-20 methodology | 2019 | up 100.0% | rising |
| 48 | Sri Lanka | 2 DB16-20 methodology | 2019 | — | rising |
| 48 | Morocco | 2 DB16-20 methodology | 2019 | down 33.3% | falling |
| 48 | Republic of Moldova | 2 DB16-20 methodology | 2019 | unchanged | flat |
| 48 | Malta | 2 DB16-20 methodology | 2019 | unchanged | flat |
| 48 | Mauritius | 2 DB16-20 methodology | 2019 | unchanged | flat |
| 48 | Norway | 2 DB16-20 methodology | 2019 | unchanged | rising |
| 48 | New Zealand | 2 DB16-20 methodology | 2019 | unchanged | flat |
| 48 | Oman | 2 DB16-20 methodology | 2019 | — | rising |
| 48 | Philippines | 2 DB16-20 methodology | 2019 | up 100.0% | rising |
| 48 | Poland | 2 DB16-20 methodology | 2019 | unchanged | flat |
| 48 | Romania | 2 DB16-20 methodology | 2019 | unchanged | flat |
| 48 | Saudi Arabia | 2 DB16-20 methodology | 2019 | unchanged | flat |
| 48 | Solomon Islands | 2 DB16-20 methodology | 2019 | up 100.0% | rising |
| 48 | Serbia | 2 DB16-20 methodology | 2019 | unchanged | falling |
| 48 | Tajikistan | 2 DB16-20 methodology | 2019 | — | volatile |
| 48 | Tunisia | 2 DB16-20 methodology | 2019 | unchanged | flat |
| 48 | Ukraine | 2 DB16-20 methodology | 2019 | up 100.0% | rising |
| 48 | Viet Nam | 2 DB16-20 methodology | 2019 | — | volatile |
| 81 | India | 1.47 DB16-20 methodology | 2019 | up 56.4% | rising |
| 82 | Armenia | 1 DB16-20 methodology | 2019 | unchanged | rising |
| 82 | Bulgaria | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 82 | Bahamas | 1 DB16-20 methodology | 2019 | — | volatile |
| 82 | Bolivia, Plurinational State of | 1 DB16-20 methodology | 2019 | — | rising |
| 82 | Brazil | 1 DB16-20 methodology | 2019 | up 63.9% | volatile |
| 82 | Barbados | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 82 | Bhutan | 1 DB16-20 methodology | 2019 | down 50.0% | falling |
| 82 | Colombia | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 82 | Dominican Republic | 1 DB16-20 methodology | 2019 | — | volatile |
| 82 | Algeria | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 82 | Fiji | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 82 | Georgia | 1 DB16-20 methodology | 2019 | unchanged | falling |
| 82 | Grenada | 1 DB16-20 methodology | 2019 | down 50.0% | falling |
| 82 | Iran, Islamic Republic of | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 82 | Kenya | 1 DB16-20 methodology | 2019 | — | volatile |
| 82 | Kyrgyzstan | 1 DB16-20 methodology | 2019 | — | volatile |
| 82 | Panama | 1 DB16-20 methodology | 2019 | down 50.0% | falling |
| 82 | Peru | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 82 | Palestine, State of | 1 DB16-20 methodology | 2019 | — | volatile |
| 82 | Rwanda | 1 DB16-20 methodology | 2019 | — | volatile |
| 82 | El Salvador | 1 DB16-20 methodology | 2019 | — | volatile |
| 82 | San Marino | 1 DB16-20 methodology | 2019 | down 50.0% | falling |
| 82 | Trinidad and Tobago | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 82 | Uruguay | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 82 | Vanuatu | 1 DB16-20 methodology | 2019 | unchanged | falling |
| 82 | Kosovo | 1 DB16-20 methodology | 2019 | — | volatile |
| 82 | Kosovo (UNSCR 1244) | 1 DB16-20 methodology | 2019 | — | volatile |
| 109 | Angola | 0 DB16-20 methodology | 2019 | — | volatile |
| 109 | Lao People's Democratic Republic | 0 DB16-20 methodology | 2019 | — | volatile |
| 109 | North Macedonia | 0 DB16-20 methodology | 2019 | — | volatile |
| 109 | Puerto Rico | 0 DB16-20 methodology | 2019 | down 100.0% | volatile |
| 109 | Türkiye | 0 DB16-20 methodology | 2019 | down 100.0% | volatile |
About this data
The total duration and frequency of outages per customer a year index evaluates the quality of the power supply. If SAIDI and SAIFI are 12 (equivalent to an outage of one hour each month) or below, a score of 1 is assigned. If SAIDI and SAIFI are 4 (equivalent to an outage of one hour each quarter) or below, 1 additional point is assigned. If SAIDI and SAIFI are 1 (equivalent to an outage of one hour per year) or below, 1 more point is assigned. The index is computed based on the methodology in the DB16-20 studies.