Getting electricity: Reliability of supply and transparency of tariff index (0-8) (DB16-20 methodology) by country
The reliability of supply and transparency of tariff index is calculated on the basis of the following six components: (i) duration and frequency of power outages, (ii) tools to monitor power outages, (iii) tools to restore power supply, (iv) regulatory monitoring of utilities’ performance, (v) financial deterrents...
What the numbers show
Getting electricity: Reliability of supply and transparency of tariff index (0-8) (DB16-20 methodology) is currently reported for 141 countries. The highest value is 8 DB16-20 methodology in United Arab Emirates; the lowest is 0 DB16-20 methodology in Sudan.
The median across all reporting countries is 6 DB16-20 methodology, and the mean is 5.81 DB16-20 methodology.
Over the past decade 42 countries rose and 8 fell. The largest increase was in Kosovo (up 200.0%), and the largest decrease in Guyana (down 100.0%).
Getting electricity: Reliability of supply and transparency of tariff: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | United Arab Emirates | 8 DB16-20 methodology | 2019 | up 14.3% | rising |
| 1 | Belgium | 8 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Belarus | 8 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Costa Rica | 8 DB16-20 methodology | 2019 | up 14.3% | flat |
| 1 | Cyprus | 8 DB16-20 methodology | 2019 | up 14.3% | rising |
| 1 | Czechia | 8 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Germany | 8 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Spain | 8 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Estonia | 8 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Finland | 8 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | France | 8 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | United Kingdom of Great Britain and Northern Ireland | 8 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Hong Kong, China | 8 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Ireland | 8 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Japan | 8 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Kazakhstan | 8 DB16-20 methodology | 2019 | up 33.3% | rising |
| 1 | Republic of Korea | 8 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Lithuania | 8 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Malaysia | 8 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Netherlands | 8 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Russian Federation | 8 DB16-20 methodology | 2019 | unchanged | flat |
| 1 | Slovakia | 8 DB16-20 methodology | 2019 | up 14.3% | rising |
| 1 | Slovenia | 8 DB16-20 methodology | 2019 | unchanged | rising |
| 1 | Sweden | 8 DB16-20 methodology | 2019 | up 14.3% | rising |
| 1 | Thailand | 8 DB16-20 methodology | 2019 | up 33.3% | rising |
| 1 | Uzbekistan | 8 DB16-20 methodology | 2019 | unchanged | flat |
| 27 | United States of America | 7.2 DB16-20 methodology | 2019 | unchanged | flat |
| 28 | Australia | 7 DB16-20 methodology | 2019 | unchanged | flat |
| 28 | Austria | 7 DB16-20 methodology | 2019 | unchanged | flat |
| 28 | Azerbaijan | 7 DB16-20 methodology | 2019 | up 40.0% | rising |
| 28 | Brunei Darussalam | 7 DB16-20 methodology | 2019 | up 133.3% | rising |
| 28 | Switzerland | 7 DB16-20 methodology | 2019 | unchanged | flat |
| 28 | Chile | 7 DB16-20 methodology | 2019 | unchanged | rising |
| 28 | China | 7 DB16-20 methodology | 2019 | up 40.0% | rising |
| 28 | Dominica | 7 DB16-20 methodology | 2019 | up 16.7% | rising |
| 28 | Denmark | 7 DB16-20 methodology | 2019 | unchanged | flat |
| 28 | Ecuador | 7 DB16-20 methodology | 2019 | up 16.7% | rising |
| 28 | Greece | 7 DB16-20 methodology | 2019 | unchanged | flat |
| 28 | Guatemala | 7 DB16-20 methodology | 2019 | unchanged | rising |
| 28 | Croatia | 7 DB16-20 methodology | 2019 | up 40.0% | rising |
| 28 | Hungary | 7 DB16-20 methodology | 2019 | unchanged | flat |
| 28 | Iceland | 7 DB16-20 methodology | 2019 | unchanged | flat |
| 28 | Italy | 7 DB16-20 methodology | 2019 | unchanged | flat |
| 28 | Saint Lucia | 7 DB16-20 methodology | 2019 | up 16.7% | rising |
| 28 | Luxembourg | 7 DB16-20 methodology | 2019 | unchanged | flat |
| 28 | Latvia | 7 DB16-20 methodology | 2019 | up 16.7% | rising |
| 28 | Morocco | 7 DB16-20 methodology | 2019 | down 12.5% | falling |
| 28 | Republic of Moldova | 7 DB16-20 methodology | 2019 | unchanged | flat |
| 28 | Mexico | 7 DB16-20 methodology | 2019 | up 13.5% | rising |
| 28 | New Zealand | 7 DB16-20 methodology | 2019 | unchanged | flat |
| 28 | Oman | 7 DB16-20 methodology | 2019 | — | rising |
| 28 | Poland | 7 DB16-20 methodology | 2019 | unchanged | flat |
| 28 | Portugal | 7 DB16-20 methodology | 2019 | unchanged | flat |
| 28 | Romania | 7 DB16-20 methodology | 2019 | unchanged | flat |
| 28 | Singapore | 7 DB16-20 methodology | 2019 | unchanged | flat |
| 28 | Ukraine | 7 DB16-20 methodology | 2019 | up 40.0% | rising |
| 28 | Viet Nam | 7 DB16-20 methodology | 2019 | up 133.3% | rising |
| 28 | Taiwan | 7 DB16-20 methodology | 2019 | unchanged | flat |
| 59 | India | 6.47 DB16-20 methodology | 2019 | up 8.9% | flat |
| 60 | Armenia | 6 DB16-20 methodology | 2019 | unchanged | rising |
| 60 | Bulgaria | 6 DB16-20 methodology | 2019 | up 50.0% | rising |
| 60 | Bahrain | 6 DB16-20 methodology | 2019 | up 20.0% | rising |
| 60 | Bosnia and Herzegovina | 6 DB16-20 methodology | 2019 | up 20.0% | rising |
| 60 | Bolivia, Plurinational State of | 6 DB16-20 methodology | 2019 | up 20.0% | rising |
| 60 | Brazil | 6 DB16-20 methodology | 2019 | up 7.0% | rising |
| 60 | Barbados | 6 DB16-20 methodology | 2019 | unchanged | flat |
| 60 | Canada | 6 DB16-20 methodology | 2019 | unchanged | flat |
| 60 | Colombia | 6 DB16-20 methodology | 2019 | unchanged | flat |
| 60 | Indonesia | 6 DB16-20 methodology | 2019 | up 14.9% | rising |
| 60 | Israel | 6 DB16-20 methodology | 2019 | unchanged | flat |
| 60 | Jordan | 6 DB16-20 methodology | 2019 | up 20.0% | rising |
| 60 | Kuwait | 6 DB16-20 methodology | 2019 | up 20.0% | rising |
| 60 | Sri Lanka | 6 DB16-20 methodology | 2019 | up 50.0% | rising |
| 60 | Malta | 6 DB16-20 methodology | 2019 | unchanged | flat |
| 60 | Mauritius | 6 DB16-20 methodology | 2019 | unchanged | flat |
| 60 | Namibia | 6 DB16-20 methodology | 2019 | — | rising |
| 60 | Norway | 6 DB16-20 methodology | 2019 | unchanged | flat |
| 60 | Panama | 6 DB16-20 methodology | 2019 | down 14.3% | falling |
| 60 | Peru | 6 DB16-20 methodology | 2019 | unchanged | flat |
| 60 | Philippines | 6 DB16-20 methodology | 2019 | up 20.0% | rising |
| 60 | Rwanda | 6 DB16-20 methodology | 2019 | — | volatile |
| 60 | Saudi Arabia | 6 DB16-20 methodology | 2019 | up 20.0% | rising |
| 60 | El Salvador | 6 DB16-20 methodology | 2019 | up 20.0% | rising |
| 60 | Serbia | 6 DB16-20 methodology | 2019 | unchanged | falling |
| 60 | Trinidad and Tobago | 6 DB16-20 methodology | 2019 | unchanged | flat |
| 60 | Tunisia | 6 DB16-20 methodology | 2019 | unchanged | flat |
| 60 | Uruguay | 6 DB16-20 methodology | 2019 | unchanged | flat |
| 60 | Kosovo | 6 DB16-20 methodology | 2019 | up 200.0% | rising |
| 60 | Kosovo (UNSCR 1244) | 6 DB16-20 methodology | 2019 | up 200.0% | rising |
| 90 | Albania | 5 DB16-20 methodology | 2019 | — | volatile |
| 90 | Argentina | 5 DB16-20 methodology | 2019 | unchanged | flat |
| 90 | Antigua and Barbuda | 5 DB16-20 methodology | 2019 | up 25.0% | rising |
| 90 | Bahamas | 5 DB16-20 methodology | 2019 | — | volatile |
| 90 | Côte d'Ivoire | 5 DB16-20 methodology | 2019 | up 25.0% | rising |
| 90 | Dominican Republic | 5 DB16-20 methodology | 2019 | up 25.0% | rising |
| 90 | Algeria | 5 DB16-20 methodology | 2019 | up 25.0% | rising |
| 90 | Egypt | 5 DB16-20 methodology | 2019 | — | volatile |
| 90 | Georgia | 5 DB16-20 methodology | 2019 | up 66.7% | rising |
| 90 | Iran, Islamic Republic of | 5 DB16-20 methodology | 2019 | unchanged | flat |
| 90 | Jamaica | 5 DB16-20 methodology | 2019 | unchanged | flat |
| 90 | Kenya | 5 DB16-20 methodology | 2019 | — | volatile |
| 90 | North Macedonia | 5 DB16-20 methodology | 2019 | unchanged | flat |
| 90 | Montenegro | 5 DB16-20 methodology | 2019 | — | volatile |
| 90 | Pakistan | 5 DB16-20 methodology | 2019 | — | volatile |
| 90 | Palestine, State of | 5 DB16-20 methodology | 2019 | up 25.0% | rising |
| 90 | Qatar | 5 DB16-20 methodology | 2019 | unchanged | flat |
| 90 | Senegal | 5 DB16-20 methodology | 2019 | — | volatile |
| 90 | San Marino | 5 DB16-20 methodology | 2019 | down 16.7% | falling |
| 90 | Türkiye | 5 DB16-20 methodology | 2019 | down 16.7% | falling |
| 90 | Tanzania, United Republic of | 5 DB16-20 methodology | 2019 | unchanged | flat |
| 90 | Vanuatu | 5 DB16-20 methodology | 2019 | unchanged | falling |
| 112 | Belize | 4 DB16-20 methodology | 2019 | unchanged | flat |
| 112 | Bhutan | 4 DB16-20 methodology | 2019 | down 20.0% | falling |
| 112 | Fiji | 4 DB16-20 methodology | 2019 | unchanged | flat |
| 112 | Ghana | 4 DB16-20 methodology | 2019 | — | volatile |
| 112 | Kyrgyzstan | 4 DB16-20 methodology | 2019 | — | volatile |
| 112 | Mozambique | 4 DB16-20 methodology | 2019 | — | volatile |
| 112 | Nicaragua | 4 DB16-20 methodology | 2019 | unchanged | flat |
| 112 | Eswatini | 4 DB16-20 methodology | 2019 | — | volatile |
| 112 | Tajikistan | 4 DB16-20 methodology | 2019 | — | volatile |
| 112 | Uganda | 4 DB16-20 methodology | 2019 | — | volatile |
| 112 | Samoa | 4 DB16-20 methodology | 2019 | unchanged | flat |
| 112 | South Africa | 4 DB16-20 methodology | 2019 | — | volatile |
| 112 | Zambia | 4 DB16-20 methodology | 2019 | unchanged | volatile |
| 125 | Gabon | 3 DB16-20 methodology | 2019 | — | volatile |
| 125 | Grenada | 3 DB16-20 methodology | 2019 | unchanged | falling |
| 125 | Cambodia | 3 DB16-20 methodology | 2019 | — | rising |
| 125 | Lao People's Democratic Republic | 3 DB16-20 methodology | 2019 | — | volatile |
| 125 | Mongolia | 3 DB16-20 methodology | 2019 | unchanged | flat |
| 125 | Puerto Rico | 3 DB16-20 methodology | 2019 | down 25.0% | falling |
| 125 | Paraguay | 3 DB16-20 methodology | 2019 | up 50.0% | rising |
| 125 | Seychelles | 3 DB16-20 methodology | 2019 | up 50.0% | rising |
| 125 | Togo | 3 DB16-20 methodology | 2019 | — | volatile |
| 125 | Tonga | 3 DB16-20 methodology | 2019 | unchanged | flat |
| 135 | Angola | 2 DB16-20 methodology | 2019 | — | volatile |
| 135 | Honduras | 2 DB16-20 methodology | 2019 | — | volatile |
| 135 | Solomon Islands | 2 DB16-20 methodology | 2019 | up 100.0% | rising |
| 138 | Cape Verde | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 138 | Myanmar | 1 DB16-20 methodology | 2019 | — | volatile |
| 140 | Guyana | 0 DB16-20 methodology | 2019 | down 100.0% | volatile |
| 140 | Sudan | 0 DB16-20 methodology | 2019 | down 100.0% | falling |
About this data
The reliability of supply and transparency of tariff index is calculated on the basis of the following six components: (i) duration and frequency of power outages, (ii) tools to monitor power outages, (iii) tools to restore power supply, (iv) regulatory monitoring of utilities’ performance, (v) financial deterrents aimed at limiting outages, and (vi) transparency and accessibility of tariffs. An economy is eligible to obtain a score on the reliability of supply and transparency of tariffs index only if (i) the utility collects data on all types of outages (average total duration of outages per customer and the average number of outages per customer), including planned and unplanned outages, as well as load shedding, with the minimum outage time of not more than 5 minutes; and (ii) the SAIDI value is below a threshold of 100 hours and the SAIFI value is under 100 outages. The component indicator is computed based on the methodology in the DB16-20 studies.