Kosovo vs Uganda: Getting electricity: System average interruption frequency index (SAIF

Kosovo
5.89 DB16-20 methodology
in 2019
Uganda
49.81 DB16-20 methodology
in 2019
Kosovo rank
1st
Uganda rank
4th

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

  • Kosovo
  • Uganda
1020304050201420162019

How they compare

Uganda currently reports 49.81 DB16-20 methodology against 5.89 DB16-20 methodology in Kosovo, a difference of 43.92 DB16-20 methodology.

That makes Uganda's figure about 8.5 times Kosovo's.

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

Kosovo ranks 1st and Uganda ranks 4th of 1 groups.

Uganda 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, Kosovo or Uganda?
Uganda, at 49.81 DB16-20 methodology against 5.89 DB16-20 methodology in Kosovo as of 2019.
What is the difference in getting electricity: system average interruption frequency index (saif between Kosovo and Uganda?
43.92 DB16-20 methodology, with Uganda ahead.
How many years of comparable data are there for Kosovo and Uganda?
6 years are reported by both, from 2014 to 2019.
How do Kosovo and Uganda rank globally for getting electricity: system average interruption frequency index (saif?
Kosovo ranks 1st and Uganda ranks 4th of 1 groups.
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.