Iceland vs Malta: Getting electricity: System average interruption duration index (SAIDI

Iceland
0.63 DB16-20 methodology
in 2019
Malta
0.77 DB16-20 methodology
in 2019
Iceland rank
87th
Malta rank
86th

Getting electricity: System average interruption duration index (SAIDI over time

  • Iceland
  • Malta
02468201420162019

How they compare

Malta currently reports 0.77 DB16-20 methodology against 0.63 DB16-20 methodology in Iceland, a difference of 0.14 DB16-20 methodology.

That makes Malta's figure about 1.2 times Iceland's.

Across all 6 years both countries report, Malta has been ahead every year.

Iceland ranks 87th and Malta ranks 86th of 125 countries.

Malta has averaged higher in every one of the 1 decades both report.

Frequently asked questions

Which has higher getting electricity: system average interruption duration index (saidi, Iceland or Malta?
Malta, at 0.77 DB16-20 methodology against 0.63 DB16-20 methodology in Iceland as of 2019.
What is the difference in getting electricity: system average interruption duration index (saidi between Iceland and Malta?
0.14 DB16-20 methodology, with Malta ahead.
How many years of comparable data are there for Iceland and Malta?
6 years are reported by both, from 2014 to 2019.
How do Iceland and Malta rank globally for getting electricity: system average interruption duration index (saidi?
Iceland ranks 87th and Malta ranks 86th of 125 countries.
Where does this data come from?
The World Bank, published as Getting electricity: System average interruption duration index (SAIDI) (DB16-20 methodology). Statizoid refreshes it automatically from the source and publishes the full history for both places.

Individual pages

About this data

Indicator
Getting electricity: System average interruption duration index (SAIDI) (DB16-20 methodology)
Unit
DB16-20 methodology
Source
World Bank
Licence
CC BY 4.0 (World Bank Open Data)
Coverage
126 places, 752 data points, 2014–2019
Last refreshed

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.