Getting electricity: System average interruption duration index (SAIDI) (DB16-20 methodology) by country
The system average interruption duration index is the average total duration of outages (in hours) experienced by a customer in a year. The index is computed based on the methodology in the DB16-20 studies.
Countries reporting
127
Highest
940 DB16-20 methodology
Papua New Guinea
Lowest
0.0375 DB16-20 methodology
Japan
Median
2.07 DB16-20 methodology
Years covered
6
2014–2019
Data points
758
What the numbers show
Getting electricity: System average interruption duration index (SAIDI) (DB16-20 methodology) is currently reported for 127 countries. The highest value is 940 DB16-20 methodology in Papua New Guinea; the lowest is 0.0375 DB16-20 methodology in Japan.
The median across all reporting countries is 2.07 DB16-20 methodology, and the mean is 21.35 DB16-20 methodology.
The gap between the highest and lowest reporting country is a factor of about 25,067.
Over the past decade 38 countries rose and 82 fell. The largest increase was in Russia (up 1,720.0%), and the largest decrease in Kenya (down 99.2%).
Getting electricity: System average interruption duration: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Papua New Guinea | 940 DB16-20 methodology | 2019 | up 563.6% | volatile |
| 2 | Palau | 615.7 DB16-20 methodology | 2019 | up 381.0% | volatile |
| 3 | Niger | 165 DB16-20 methodology | 2019 | down 17.1% | falling |
| 4 | Guyana | 113 DB16-20 methodology | 2019 | up 403.3% | rising |
| 5 | Nicaragua | 93.6 DB16-20 methodology | 2019 | up 13.0% | rising |
| 6 | Mongolia | 62 DB16-20 methodology | 2019 | down 17.3% | falling |
| 7 | Uganda | 61.7 DB16-20 methodology | 2019 | up 9.8% | rising |
| 8 | Sudan | 58.6 DB16-20 methodology | 2018 | — | rising |
| 9 | Zambia | 51.22 DB16-20 methodology | 2019 | down 12.3% | volatile |
| 10 | Turkey | 44.69 DB16-20 methodology | 2019 | up 346.9% | volatile |
| 11 | Samoa | 35.88 DB16-20 methodology | 2019 | up 42.1% | rising |
| 12 | Albania | 33.46 DB16-20 methodology | 2019 | down 71.7% | falling |
| 13 | Jamaica | 27.13 DB16-20 methodology | 2019 | down 18.3% | rising |
| 14 | Paraguay | 21.9 DB16-20 methodology | 2019 | up 37.7% | rising |
| 15 | Tanzania | 20.9 DB16-20 methodology | 2019 | down 76.1% | volatile |
| 16 | Cambodia | 20.78 DB16-20 methodology | 2019 | down 84.1% | volatile |
| 17 | Cape Verde | 18.3 DB16-20 methodology | 2019 | down 57.3% | falling |
| 18 | Cote d'Ivoire | 14.42 DB16-20 methodology | 2019 | down 70.8% | volatile |
| 19 | Puerto Rico | 14.35 DB16-20 methodology | 2019 | up 57.2% | rising |
| 20 | Belize | 14.18 DB16-20 methodology | 2019 | down 32.5% | falling |
| 21 | Tonga | 12.31 DB16-20 methodology | 2019 | down 35.1% | falling |
| 22 | Kenya | 12 DB16-20 methodology | 2019 | down 99.2% | volatile |
| 23 | Armenia | 10.86 DB16-20 methodology | 2019 | up 97.8% | rising |
| 24 | Kosovo | 10.42 DB16-20 methodology | 2019 | down 80.3% | volatile |
| 24 | Kosovo (UNSCR 1244) | 10.42 DB16-20 methodology | 2019 | down 80.3% | volatile |
| 26 | Uruguay | 10 DB16-20 methodology | 2019 | up 78.6% | rising |
| 27 | Bolivia | 7.96 DB16-20 methodology | 2019 | down 8.5% | falling |
| 28 | Panama | 7.82 DB16-20 methodology | 2019 | up 443.1% | volatile |
| 29 | North Macedonia | 7.46 DB16-20 methodology | 2019 | down 30.9% | falling |
| 30 | Vanuatu | 7.28 DB16-20 methodology | 2019 | up 85.2% | volatile |
| 31 | Bhutan | 7.08 DB16-20 methodology | 2019 | up 471.0% | volatile |
| 32 | Iran | 7 DB16-20 methodology | 2019 | up 14.8% | rising |
| 33 | Dominican Republic | 6.64 DB16-20 methodology | 2019 | down 59.7% | falling |
| 34 | Brazil | 6.64 DB16-20 methodology | 2019 | down 44.9% | falling |
| 35 | Peru | 6.39 DB16-20 methodology | 2019 | down 8.7% | falling |
| 36 | Grenada | 6.36 DB16-20 methodology | 2019 | up 101.3% | rising |
| 37 | Trinidad and Tobago | 6.34 DB16-20 methodology | 2019 | unchanged | rising |
| 38 | Bulgaria | 6.15 DB16-20 methodology | 2019 | down 3.9% | falling |
| 39 | El Salvador | 5.83 DB16-20 methodology | 2019 | down 60.2% | falling |
| 40 | Palestine | 5.18 DB16-20 methodology | 2019 | down 68.0% | falling |
| 41 | Fiji | 5 DB16-20 methodology | 2019 | down 51.8% | falling |
| 42 | Georgia | 4.69 DB16-20 methodology | 2019 | up 15.5% | rising |
| 43 | Argentina | 4.51 DB16-20 methodology | 2019 | up 13.0% | rising |
| 44 | Colombia | 4.5 DB16-20 methodology | 2019 | down 25.0% | falling |
| 45 | Algeria | 4.24 DB16-20 methodology | 2019 | down 29.5% | falling |
| 46 | Sri Lanka | 4 DB16-20 methodology | 2019 | down 67.7% | volatile |
| 47 | Guatemala | 3.96 DB16-20 methodology | 2019 | up 2.6% | flat |
| 48 | Serbia | 3.85 DB16-20 methodology | 2019 | down 0.3% | flat |
| 49 | New Zealand | 3.77 DB16-20 methodology | 2019 | up 137.1% | rising |
| 50 | India | 3.72 DB16-20 methodology | 2019 | down 80.4% | volatile |
| 51 | Philippines | 3.57 DB16-20 methodology | 2019 | down 45.9% | falling |
| 52 | Croatia | 3.3 DB16-20 methodology | 2019 | down 51.6% | falling |
| 53 | Barbados | 3.16 DB16-20 methodology | 2019 | down 37.7% | falling |
| 54 | Solomon Islands | 3.1 DB16-20 methodology | 2019 | down 61.7% | falling |
| 55 | Romania | 3.08 DB16-20 methodology | 2019 | down 16.5% | falling |
| 56 | Chile | 2.9 DB16-20 methodology | 2019 | down 22.7% | falling |
| 57 | Indonesia | 2.82 DB16-20 methodology | 2019 | down 23.4% | flat |
| 58 | Ukraine | 2.71 DB16-20 methodology | 2019 | down 58.2% | falling |
| 59 | Hungary | 2.56 DB16-20 methodology | 2019 | down 19.2% | falling |
| 60 | Tunisia | 2.54 DB16-20 methodology | 2019 | down 0.4% | rising |
| 61 | Jordan | 2.38 DB16-20 methodology | 2019 | down 48.1% | falling |
| 62 | Bosnia and Herzegovina | 2.15 DB16-20 methodology | 2019 | down 63.2% | falling |
| 63 | Ecuador | 2.12 DB16-20 methodology | 2019 | down 64.7% | falling |
| 64 | Vietnam | 2.07 DB16-20 methodology | 2019 | down 93.7% | volatile |
| 65 | Egypt | 1.99 DB16-20 methodology | 2019 | — | volatile |
| 66 | Saudi Arabia | 1.98 DB16-20 methodology | 2019 | up 41.4% | rising |
| 67 | Oman | 1.77 DB16-20 methodology | 2019 | — | falling |
| 68 | Mauritius | 1.61 DB16-20 methodology | 2019 | down 20.7% | falling |
| 69 | Greece | 1.57 DB16-20 methodology | 2019 | down 28.6% | falling |
| 70 | Antigua and Barbuda | 1.5 DB16-20 methodology | 2019 | down 69.1% | falling |
| 70 | Norway | 1.5 DB16-20 methodology | 2019 | unchanged | falling |
| 72 | Israel | 1.45 DB16-20 methodology | 2019 | down 51.3% | falling |
| 73 | Moldova | 1.33 DB16-20 methodology | 2019 | down 44.8% | falling |
| 74 | Italy | 1.3 DB16-20 methodology | 2019 | up 116.7% | rising |
| 75 | United States | 1.28 DB16-20 methodology | 2019 | down 5.0% | rising |
| 76 | Poland | 1.13 DB16-20 methodology | 2019 | down 29.4% | falling |
| 77 | Australia | 1 DB16-20 methodology | 2019 | down 12.3% | falling |
| 78 | Latvia | 0.99 DB16-20 methodology | 2019 | down 69.1% | volatile |
| 79 | Canada | 0.98 DB16-20 methodology | 2019 | down 11.7% | falling |
| 80 | Kazakhstan | 0.96 DB16-20 methodology | 2019 | down 26.2% | falling |
| 81 | China | 0.896 DB16-20 methodology | 2019 | down 31.1% | falling |
| 82 | Bahrain | 0.88 DB16-20 methodology | 2019 | down 65.2% | falling |
| 82 | Slovakia | 0.88 DB16-20 methodology | 2019 | down 16.2% | falling |
| 84 | Azerbaijan | 0.86 DB16-20 methodology | 2019 | down 19.6% | falling |
| 85 | Ireland | 0.8 DB16-20 methodology | 2019 | up 207.7% | volatile |
| 85 | Seychelles | 0.8 DB16-20 methodology | 2019 | down 79.6% | volatile |
| 87 | Netherlands | 0.78 DB16-20 methodology | 2019 | up 95.0% | rising |
| 88 | Malta | 0.77 DB16-20 methodology | 2019 | down 78.1% | volatile |
| 89 | Austria | 0.63 DB16-20 methodology | 2019 | down 20.3% | falling |
| 89 | Iceland | 0.63 DB16-20 methodology | 2019 | up 425.0% | rising |
| 91 | Sweden | 0.61 DB16-20 methodology | 2019 | down 65.3% | volatile |
| 92 | San Marino | 0.6 DB16-20 methodology | 2019 | up 22.4% | rising |
| 93 | Mexico | 0.5841 DB16-20 methodology | 2019 | down 25.9% | falling |
| 94 | Dominica | 0.58 DB16-20 methodology | 2019 | down 51.3% | falling |
| 95 | Cyprus | 0.55 DB16-20 methodology | 2019 | down 65.4% | volatile |
| 96 | Costa Rica | 0.54 DB16-20 methodology | 2019 | — | volatile |
| 96 | Portugal | 0.54 DB16-20 methodology | 2019 | down 10.0% | falling |
| 98 | Belarus | 0.51 DB16-20 methodology | 2019 | up 88.9% | rising |
| 98 | Spain | 0.51 DB16-20 methodology | 2019 | up 45.7% | rising |
| 100 | Denmark | 0.5 DB16-20 methodology | 2019 | up 25.0% | rising |
| 101 | Morocco | 0.49 DB16-20 methodology | 2019 | up 122.7% | volatile |
| 101 | Namibia | 0.49 DB16-20 methodology | 2019 | down 2.0% | rising |
| 103 | Czechia | 0.48 DB16-20 methodology | 2019 | down 18.6% | falling |
| 103 | Malaysia | 0.48 DB16-20 methodology | 2019 | down 20.0% | falling |
| 105 | Hong Kong | 0.46 DB16-20 methodology | 2019 | down 4.2% | falling |
| 106 | Belgium | 0.41 DB16-20 methodology | 2019 | down 43.1% | falling |
| 107 | Lithuania | 0.4 DB16-20 methodology | 2019 | up 21.2% | rising |
| 108 | Thailand | 0.38 DB16-20 methodology | 2019 | down 51.3% | falling |
| 109 | Brunei | 0.37 DB16-20 methodology | 2019 | down 86.3% | volatile |
| 110 | Luxembourg | 0.36 DB16-20 methodology | 2019 | up 111.8% | rising |
| 111 | France | 0.35 DB16-20 methodology | 2019 | down 23.9% | falling |
| 112 | Estonia | 0.3 DB16-20 methodology | 2019 | down 67.4% | falling |
| 113 | United Kingdom | 0.28 DB16-20 methodology | 2019 | down 49.1% | falling |
| 114 | Taiwan | 0.27 DB16-20 methodology | 2019 | down 10.0% | falling |
| 115 | United Arab Emirates | 0.25 DB16-20 methodology | 2019 | up 177.8% | volatile |
| 115 | Germany | 0.25 DB16-20 methodology | 2019 | up 13.6% | flat |
| 117 | Uzbekistan | 0.22 DB16-20 methodology | 2019 | down 37.1% | falling |
| 118 | Switzerland | 0.2 DB16-20 methodology | 2019 | up 5.3% | rising |
| 118 | Finland | 0.2 DB16-20 methodology | 2019 | up 17.6% | volatile |
| 120 | Russia | 0.182 DB16-20 methodology | 2019 | up 1,720.0% | volatile |
| 121 | Saint Lucia | 0.18 DB16-20 methodology | 2019 | down 60.0% | falling |
| 122 | Slovenia | 0.13 DB16-20 methodology | 2019 | down 62.9% | volatile |
| 123 | Kuwait | 0.1 DB16-20 methodology | 2019 | down 97.2% | volatile |
| 124 | Qatar | 0.07 DB16-20 methodology | 2019 | down 89.4% | volatile |
| 125 | Singapore | 0.06 DB16-20 methodology | 2019 | up 500.0% | volatile |
| 126 | South Korea | 0.04 DB16-20 methodology | 2019 | unchanged | rising |
| 127 | Japan | 0.0375 DB16-20 methodology | 2019 | down 92.3% | volatile |
About this data
The system average interruption duration index is the average total duration of outages (in hours) experienced by a customer in a year. The index is computed based on the methodology in the DB16-20 studies.