Israel vs Italy: Getting electricity: System average interruption duration index (SAIDI

Israel
1.45 DB16-20 methodology
in 2019
Italy
1.3 DB16-20 methodology
in 2019
Israel rank
70th
Italy rank
72nd

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

  • Israel
  • Italy
0.511.522.53201420162019

How they compare

Israel currently reports 1.45 DB16-20 methodology against 1.3 DB16-20 methodology in Italy, a difference of 0.15 DB16-20 methodology.

That makes Israel's figure about 1.1 times Italy's.

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

Israel ranks 70th and Italy ranks 72nd of 125 countries.

Israel 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, Israel or Italy?
Israel, at 1.45 DB16-20 methodology against 1.3 DB16-20 methodology in Italy as of 2019.
What is the difference in getting electricity: system average interruption duration index (saidi between Israel and Italy?
0.15 DB16-20 methodology, with Israel ahead.
How many years of comparable data are there for Israel and Italy?
6 years are reported by both, from 2014 to 2019.
How do Israel and Italy rank globally for getting electricity: system average interruption duration index (saidi?
Israel ranks 70th and Italy ranks 72nd 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.