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

India
2.38 DB16-20 methodology
in 2019
Tunisia
2.28 DB16-20 methodology
in 2019
India rank
50th
Tunisia rank
51st

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

  • India
  • Tunisia
0246201420162019

How they compare

India currently reports 2.38 DB16-20 methodology against 2.28 DB16-20 methodology in Tunisia, a difference of 0.1 DB16-20 methodology.

The two have swapped places 2 times across 6 shared years of data; in 2014 it was India ahead.

India ranks 50th and Tunisia ranks 51st of 124 countries.

India 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, India or Tunisia?
India, at 2.38 DB16-20 methodology against 2.28 DB16-20 methodology in Tunisia as of 2019.
What is the difference in getting electricity: system average interruption frequency index (saif between India and Tunisia?
0.1 DB16-20 methodology, with India ahead.
How many years of comparable data are there for India and Tunisia?
6 years are reported by both, from 2014 to 2019.
How do India and Tunisia rank globally for getting electricity: system average interruption frequency index (saif?
India ranks 50th 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.