Armenia vs Kenya: Getting electricity: System average interruption frequency index (SAIF

Armenia
7.2 DB16-20 methodology
in 2019
Kenya
6.9 DB16-20 methodology
in 2019
Armenia rank
25th
Kenya rank
26th

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

  • Armenia
  • Kenya
01020304050201420162019

How they compare

Armenia currently reports 7.2 DB16-20 methodology against 6.9 DB16-20 methodology in Kenya, a difference of 0.3 DB16-20 methodology.

The two have swapped places 1 time across 6 shared years of data; in 2014 it was Kenya ahead.

Armenia ranks 25th and Kenya ranks 26th of 124 countries.

Kenya 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, Armenia or Kenya?
Armenia, at 7.2 DB16-20 methodology against 6.9 DB16-20 methodology in Kenya as of 2019.
What is the difference in getting electricity: system average interruption frequency index (saif between Armenia and Kenya?
0.3 DB16-20 methodology, with Armenia ahead.
How many years of comparable data are there for Armenia and Kenya?
6 years are reported by both, from 2014 to 2019.
How do Armenia and Kenya rank globally for getting electricity: system average interruption frequency index (saif?
Armenia ranks 25th and Kenya ranks 26th 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.