Italy vs Tunisia: Getting electricity: System average interruption frequency index (SAIF

Italy
2.22 DB16-20 methodology
in 2019
Tunisia
2.28 DB16-20 methodology
in 2019
Italy rank
54th
Tunisia rank
51st

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

  • Italy
  • Tunisia
0123201420162019

How they compare

Tunisia currently reports 2.28 DB16-20 methodology against 2.22 DB16-20 methodology in Italy, a difference of 0.06 DB16-20 methodology.

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

Italy ranks 54th and Tunisia ranks 51st of 124 countries.

Tunisia 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, Italy or Tunisia?
Tunisia, at 2.28 DB16-20 methodology against 2.22 DB16-20 methodology in Italy as of 2019.
What is the difference in getting electricity: system average interruption frequency index (saif between Italy and Tunisia?
0.06 DB16-20 methodology, with Tunisia ahead.
How many years of comparable data are there for Italy and Tunisia?
6 years are reported by both, from 2014 to 2019.
How do Italy and Tunisia rank globally for getting electricity: system average interruption frequency index (saif?
Italy ranks 54th and Tunisia ranks 51st 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.