Kosovo vs Palau: Getting electricity: System average interruption duration index (SAIDI

Kosovo
10.42 DB16-20 methodology
in 2019
Palau
615.7 DB16-20 methodology
in 2019
Kosovo rank
1st
Palau rank
2nd

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

  • Kosovo
  • Palau
02004006008001.0k201420162019

How they compare

Palau currently reports 615.7 DB16-20 methodology against 10.42 DB16-20 methodology in Kosovo, a difference of 605.28 DB16-20 methodology.

That makes Palau's figure about 59.1 times Kosovo's.

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

Kosovo ranks 1st and Palau ranks 2nd of 1 groups.

Palau 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, Kosovo or Palau?
Palau, at 615.7 DB16-20 methodology against 10.42 DB16-20 methodology in Kosovo as of 2019.
What is the difference in getting electricity: system average interruption duration index (saidi between Kosovo and Palau?
605.28 DB16-20 methodology, with Palau ahead.
How many years of comparable data are there for Kosovo and Palau?
6 years are reported by both, from 2014 to 2019.
How do Kosovo and Palau rank globally for getting electricity: system average interruption duration index (saidi?
Kosovo ranks 1st and Palau ranks 2nd of 1 groups.
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.