Croatia vs Malta: Getting electricity: System average interruption frequency index (SAIF

Croatia
1.58 DB16-20 methodology
in 2019
Malta
1.83 DB16-20 methodology
in 2019
Croatia rank
61st
Malta rank
59th

Getting electricity: System average interruption frequency index (SAIF over time

  • Croatia
  • Malta
01234201420162019

How they compare

Malta currently reports 1.83 DB16-20 methodology against 1.58 DB16-20 methodology in Croatia, a difference of 0.25 DB16-20 methodology.

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

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

Croatia ranks 61st and Malta ranks 59th of 124 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 frequency index (saif, Croatia or Malta?
Malta, at 1.83 DB16-20 methodology against 1.58 DB16-20 methodology in Croatia as of 2019.
What is the difference in getting electricity: system average interruption frequency index (saif between Croatia and Malta?
0.25 DB16-20 methodology, with Malta ahead.
How many years of comparable data are there for Croatia and Malta?
6 years are reported by both, from 2014 to 2019.
How do Croatia and Malta rank globally for getting electricity: system average interruption frequency index (saif?
Croatia ranks 61st and Malta ranks 59th of 124 countries.
Where does this data come from?
The World Bank, published as Getting electricity: System average interruption frequency index (SAIFI) (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 frequency index (SAIFI) (DB16-20 methodology)
Unit
DB16-20 methodology
Source
World Bank
Licence
CC BY 4.0 (World Bank Open Data)
Coverage
125 places, 747 data points, 2014–2019
Last refreshed

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.