Getting electricity: System average interruption frequency index (SAIFI) (DB16-20 methodology) by country
The system average interruption frequency index (SAIFI) is the average number of service interruptions experienced by a customer in a year. The index is computed based on the methodology in the DB16-20 studies.
Countries reporting
126
Highest
500 DB16-20 methodology
Papua New Guinea
Lowest
0.024 DB16-20 methodology
Japan
Median
1.58 DB16-20 methodology
Years covered
6
2014–2019
Data points
753
What the numbers show
Getting electricity: System average interruption frequency index (SAIFI) (DB16-20 methodology) is currently reported for 126 countries. The highest value is 500 DB16-20 methodology in Papua New Guinea; the lowest is 0.024 DB16-20 methodology in Japan.
The median across all reporting countries is 1.58 DB16-20 methodology, and the mean is 11.75 DB16-20 methodology.
The gap between the highest and lowest reporting country is a factor of about 20,833.
Over the past decade 40 countries rose and 81 fell. The largest increase was in Singapore (up 1,000.0%), and the largest decrease in Vietnam (down 90.3%).
Getting electricity: System average interruption … frequency: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Papua New Guinea | 500 DB16-20 methodology | 2019 | up 346.4% | volatile |
| 2 | Niger | 288 DB16-20 methodology | 2019 | up 117.1% | rising |
| 3 | Guyana | 106 DB16-20 methodology | 2019 | up 68.3% | rising |
| 4 | Uganda | 49.81 DB16-20 methodology | 2019 | up 50.5% | rising |
| 5 | Tanzania | 46.77 DB16-20 methodology | 2019 | down 22.1% | falling |
| 6 | Nicaragua | 45.7 DB16-20 methodology | 2019 | up 8.1% | rising |
| 7 | Paraguay | 22.8 DB16-20 methodology | 2019 | up 44.3% | rising |
| 8 | Albania | 22 DB16-20 methodology | 2019 | down 58.7% | falling |
| 9 | Turkey | 19.53 DB16-20 methodology | 2019 | up 290.6% | rising |
| 10 | Cote d'Ivoire | 18 DB16-20 methodology | 2019 | down 27.0% | falling |
| 11 | Samoa | 15.77 DB16-20 methodology | 2019 | down 36.9% | falling |
| 12 | Cambodia | 15.35 DB16-20 methodology | 2019 | down 84.8% | volatile |
| 13 | Mongolia | 15 DB16-20 methodology | 2019 | up 36.4% | rising |
| 14 | Sudan | 14.4 DB16-20 methodology | 2018 | — | falling |
| 15 | Argentina | 14.39 DB16-20 methodology | 2019 | down 3.2% | flat |
| 16 | North Macedonia | 14.18 DB16-20 methodology | 2019 | down 14.2% | falling |
| 17 | Belize | 13.78 DB16-20 methodology | 2019 | down 11.1% | falling |
| 18 | Cape Verde | 13.1 DB16-20 methodology | 2019 | down 18.6% | flat |
| 19 | Jamaica | 10.71 DB16-20 methodology | 2019 | down 32.8% | falling |
| 20 | Algeria | 9.85 DB16-20 methodology | 2019 | up 10.8% | flat |
| 21 | Palestine | 9.48 DB16-20 methodology | 2019 | down 31.8% | falling |
| 22 | Tonga | 9.2 DB16-20 methodology | 2019 | down 37.4% | falling |
| 23 | Palau | 8.9 DB16-20 methodology | 2019 | down 69.3% | falling |
| 24 | Bolivia | 8.6 DB16-20 methodology | 2019 | down 44.2% | falling |
| 25 | Armenia | 7.2 DB16-20 methodology | 2019 | up 39.5% | rising |
| 26 | Dominican Republic | 6.9 DB16-20 methodology | 2019 | down 34.9% | falling |
| 26 | Kenya | 6.9 DB16-20 methodology | 2019 | down 86.9% | volatile |
| 28 | Grenada | 6.61 DB16-20 methodology | 2019 | up 233.8% | rising |
| 29 | Barbados | 6.01 DB16-20 methodology | 2019 | down 22.2% | falling |
| 30 | Kosovo | 5.89 DB16-20 methodology | 2019 | down 81.0% | volatile |
| 30 | Kosovo (UNSCR 1244) | 5.89 DB16-20 methodology | 2019 | down 81.0% | volatile |
| 32 | Iran | 5.3 DB16-20 methodology | 2019 | up 6.2% | flat |
| 33 | Panama | 5.19 DB16-20 methodology | 2019 | up 180.5% | volatile |
| 34 | Vanuatu | 5.14 DB16-20 methodology | 2019 | down 20.9% | falling |
| 35 | Bulgaria | 5.01 DB16-20 methodology | 2019 | up 1.8% | flat |
| 36 | Zambia | 4.91 DB16-20 methodology | 2019 | down 48.7% | falling |
| 37 | Puerto Rico | 4.83 DB16-20 methodology | 2019 | up 0.6% | flat |
| 38 | Fiji | 4.74 DB16-20 methodology | 2019 | down 47.3% | falling |
| 39 | San Marino | 4.67 DB16-20 methodology | 2019 | up 76.2% | volatile |
| 40 | Uruguay | 4 DB16-20 methodology | 2019 | up 25.8% | rising |
| 41 | Trinidad and Tobago | 3.86 DB16-20 methodology | 2019 | down 13.6% | falling |
| 42 | Colombia | 3.8 DB16-20 methodology | 2019 | down 42.2% | falling |
| 43 | Brazil | 3.72 DB16-20 methodology | 2019 | down 37.1% | falling |
| 44 | Georgia | 3.69 DB16-20 methodology | 2019 | up 82.7% | rising |
| 45 | Romania | 3.35 DB16-20 methodology | 2019 | down 11.6% | falling |
| 46 | Ecuador | 3.3 DB16-20 methodology | 2019 | down 58.8% | falling |
| 47 | El Salvador | 3.23 DB16-20 methodology | 2019 | down 54.1% | falling |
| 48 | Serbia | 3.11 DB16-20 methodology | 2019 | down 14.3% | flat |
| 49 | Sri Lanka | 2.98 DB16-20 methodology | 2019 | down 76.0% | volatile |
| 50 | Bhutan | 2.88 DB16-20 methodology | 2019 | up 53.2% | volatile |
| 51 | Guatemala | 2.7 DB16-20 methodology | 2019 | down 0.4% | falling |
| 52 | India | 2.38 DB16-20 methodology | 2019 | down 62.7% | falling |
| 53 | Tunisia | 2.28 DB16-20 methodology | 2019 | down 2.6% | flat |
| 54 | Morocco | 2.23 DB16-20 methodology | 2019 | up 142.4% | rising |
| 54 | Philippines | 2.23 DB16-20 methodology | 2019 | down 34.6% | falling |
| 56 | Italy | 2.22 DB16-20 methodology | 2019 | up 4.7% | falling |
| 57 | Indonesia | 2.18 DB16-20 methodology | 2019 | down 25.8% | flat |
| 58 | New Zealand | 2.14 DB16-20 methodology | 2019 | up 111.9% | rising |
| 59 | Antigua and Barbuda | 2.12 DB16-20 methodology | 2019 | down 76.2% | falling |
| 60 | Israel | 2.04 DB16-20 methodology | 2019 | down 39.6% | falling |
| 61 | Malta | 1.83 DB16-20 methodology | 2019 | down 53.1% | falling |
| 62 | Peru | 1.73 DB16-20 methodology | 2019 | down 76.9% | volatile |
| 63 | Croatia | 1.58 DB16-20 methodology | 2019 | down 25.5% | falling |
| 64 | Jordan | 1.57 DB16-20 methodology | 2019 | down 14.7% | falling |
| 64 | Ukraine | 1.57 DB16-20 methodology | 2019 | down 34.3% | falling |
| 64 | Vietnam | 1.57 DB16-20 methodology | 2019 | down 90.3% | volatile |
| 67 | Saudi Arabia | 1.56 DB16-20 methodology | 2019 | up 56.0% | rising |
| 68 | Moldova | 1.5 DB16-20 methodology | 2019 | down 25.7% | falling |
| 69 | Canada | 1.48 DB16-20 methodology | 2019 | up 10.4% | rising |
| 70 | Chile | 1.47 DB16-20 methodology | 2019 | down 12.5% | falling |
| 71 | Solomon Islands | 1.45 DB16-20 methodology | 2019 | down 81.9% | volatile |
| 72 | Greece | 1.44 DB16-20 methodology | 2019 | down 10.0% | flat |
| 73 | Norway | 1.3 DB16-20 methodology | 2019 | down 35.0% | falling |
| 74 | Hungary | 1.23 DB16-20 methodology | 2019 | down 16.3% | falling |
| 75 | Oman | 1.13 DB16-20 methodology | 2019 | — | falling |
| 76 | Poland | 1.09 DB16-20 methodology | 2019 | down 31.9% | falling |
| 77 | Azerbaijan | 0.96 DB16-20 methodology | 2019 | down 53.4% | falling |
| 78 | Kazakhstan | 0.91 DB16-20 methodology | 2019 | down 67.3% | falling |
| 79 | Mexico | 0.8516 DB16-20 methodology | 2019 | down 20.7% | falling |
| 80 | Mauritius | 0.85 DB16-20 methodology | 2019 | up 46.6% | rising |
| 81 | Bahrain | 0.72 DB16-20 methodology | 2019 | down 35.1% | falling |
| 81 | Thailand | 0.72 DB16-20 methodology | 2019 | down 56.6% | falling |
| 83 | Spain | 0.71 DB16-20 methodology | 2019 | up 24.6% | rising |
| 84 | Slovakia | 0.68 DB16-20 methodology | 2019 | down 6.8% | falling |
| 85 | Sweden | 0.66 DB16-20 methodology | 2019 | down 52.9% | falling |
| 86 | Austria | 0.61 DB16-20 methodology | 2019 | down 19.7% | falling |
| 86 | Portugal | 0.61 DB16-20 methodology | 2019 | down 16.4% | falling |
| 88 | Australia | 0.6 DB16-20 methodology | 2019 | down 17.8% | falling |
| 89 | Ireland | 0.57 DB16-20 methodology | 2019 | up 256.2% | volatile |
| 90 | Netherlands | 0.54 DB16-20 methodology | 2019 | up 54.3% | rising |
| 91 | Bosnia and Herzegovina | 0.51 DB16-20 methodology | 2019 | down 54.5% | falling |
| 92 | Denmark | 0.5 DB16-20 methodology | 2019 | unchanged | flat |
| 93 | Malaysia | 0.49 DB16-20 methodology | 2019 | up 32.4% | rising |
| 94 | Belarus | 0.48 DB16-20 methodology | 2019 | up 380.0% | volatile |
| 95 | Kuwait | 0.42 DB16-20 methodology | 2019 | down 49.4% | falling |
| 95 | Latvia | 0.42 DB16-20 methodology | 2019 | down 85.5% | volatile |
| 97 | Iceland | 0.41 DB16-20 methodology | 2019 | up 78.3% | rising |
| 98 | Belgium | 0.4 DB16-20 methodology | 2019 | down 41.2% | falling |
| 98 | Lithuania | 0.4 DB16-20 methodology | 2019 | up 11.1% | falling |
| 100 | United States | 0.378 DB16-20 methodology | 2019 | up 1.6% | rising |
| 101 | Czechia | 0.35 DB16-20 methodology | 2019 | down 5.4% | flat |
| 102 | Saint Lucia | 0.34 DB16-20 methodology | 2019 | down 37.0% | falling |
| 103 | Brunei | 0.33 DB16-20 methodology | 2019 | down 70.0% | falling |
| 104 | Germany | 0.3 DB16-20 methodology | 2019 | up 3.4% | flat |
| 105 | Dominica | 0.29 DB16-20 methodology | 2019 | down 23.7% | flat |
| 105 | France | 0.29 DB16-20 methodology | 2019 | down 29.3% | falling |
| 107 | Slovenia | 0.27 DB16-20 methodology | 2019 | up 50.0% | volatile |
| 108 | Luxembourg | 0.26 DB16-20 methodology | 2019 | up 52.9% | rising |
| 109 | United Arab Emirates | 0.24 DB16-20 methodology | 2019 | up 41.2% | rising |
| 110 | Taiwan | 0.23 DB16-20 methodology | 2019 | down 11.5% | falling |
| 111 | Cyprus | 0.22 DB16-20 methodology | 2019 | down 62.1% | volatile |
| 112 | Costa Rica | 0.21 DB16-20 methodology | 2019 | — | volatile |
| 113 | Hong Kong | 0.19 DB16-20 methodology | 2019 | unchanged | flat |
| 114 | China | 0.188 DB16-20 methodology | 2019 | down 50.9% | falling |
| 115 | Switzerland | 0.18 DB16-20 methodology | 2019 | up 28.6% | rising |
| 115 | Estonia | 0.18 DB16-20 methodology | 2019 | down 58.1% | falling |
| 115 | Namibia | 0.18 DB16-20 methodology | 2019 | down 28.0% | falling |
| 118 | Finland | 0.16 DB16-20 methodology | 2019 | down 61.9% | falling |
| 119 | Seychelles | 0.15 DB16-20 methodology | 2019 | down 90.0% | volatile |
| 120 | United Kingdom | 0.14 DB16-20 methodology | 2019 | down 44.0% | falling |
| 121 | Singapore | 0.11 DB16-20 methodology | 2019 | up 1,000.0% | volatile |
| 122 | Uzbekistan | 0.08 DB16-20 methodology | 2019 | down 20.0% | falling |
| 123 | Russia | 0.053 DB16-20 methodology | 2019 | up 657.1% | volatile |
| 124 | South Korea | 0.05 DB16-20 methodology | 2019 | down 37.5% | falling |
| 125 | Qatar | 0.04 DB16-20 methodology | 2019 | down 85.7% | falling |
| 126 | Japan | 0.024 DB16-20 methodology | 2019 | down 75.5% | falling |
About this data
The system average interruption frequency index (SAIFI) is the average number of service interruptions experienced by a customer in a year. The index is computed based on the methodology in the DB16-20 studies.