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

Ireland
0.8 DB16-20 methodology
in 2019
Malta
0.77 DB16-20 methodology
in 2019
Ireland rank
83rd
Malta rank
86th

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

  • Ireland
  • Malta
02468201420162019

How they compare

Ireland currently reports 0.8 DB16-20 methodology against 0.77 DB16-20 methodology in Malta, a difference of 0.03 DB16-20 methodology.

The two have swapped places 1 time across 6 shared years of data; in 2014 it was Malta ahead.

Ireland ranks 83rd 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, Ireland or Malta?
Ireland, at 0.8 DB16-20 methodology against 0.77 DB16-20 methodology in Malta as of 2019.
What is the difference in getting electricity: system average interruption duration index (saidi between Ireland and Malta?
0.03 DB16-20 methodology, with Ireland ahead.
How many years of comparable data are there for Ireland and Malta?
6 years are reported by both, from 2014 to 2019.
How do Ireland and Malta rank globally for getting electricity: system average interruption duration index (saidi?
Ireland ranks 83rd 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.