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

Indonesia
2.18 DB16-20 methodology
in 2019
Italy
2.22 DB16-20 methodology
in 2019
Indonesia rank
55th
Italy rank
54th

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

  • Indonesia
  • Italy
0123201420162019

How they compare

Italy currently reports 2.22 DB16-20 methodology against 2.18 DB16-20 methodology in Indonesia, a difference of 0.04 DB16-20 methodology.

The two have swapped places 3 times across 6 shared years of data; in 2014 it was Indonesia ahead.

Indonesia ranks 55th and Italy ranks 54th of 124 countries.

Indonesia 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, Indonesia or Italy?
Italy, at 2.22 DB16-20 methodology against 2.18 DB16-20 methodology in Indonesia as of 2019.
What is the difference in getting electricity: system average interruption frequency index (saif between Indonesia and Italy?
0.04 DB16-20 methodology, with Italy ahead.
How many years of comparable data are there for Indonesia and Italy?
6 years are reported by both, from 2014 to 2019.
How do Indonesia and Italy rank globally for getting electricity: system average interruption frequency index (saif?
Indonesia ranks 55th and Italy ranks 54th 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.