Denmark vs Spain: Getting electricity: System average interruption duration index (SAIDI

Denmark
0.5 DB16-20 methodology
in 2019
Spain
0.51 DB16-20 methodology
in 2019
Denmark rank
98th
Spain rank
96th

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

  • Denmark
  • Spain
00.20.40.6201420162019

How they compare

Spain currently reports 0.51 DB16-20 methodology against 0.5 DB16-20 methodology in Denmark, a difference of 0.01 DB16-20 methodology.

The two have swapped places 3 times across 6 shared years of data; in 2014 it was Denmark ahead.

Denmark ranks 98th and Spain ranks 96th of 125 countries.

Spain 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, Denmark or Spain?
Spain, at 0.51 DB16-20 methodology against 0.5 DB16-20 methodology in Denmark as of 2019.
What is the difference in getting electricity: system average interruption duration index (saidi between Denmark and Spain?
0.01 DB16-20 methodology, with Spain ahead.
How many years of comparable data are there for Denmark and Spain?
6 years are reported by both, from 2014 to 2019.
How do Denmark and Spain rank globally for getting electricity: system average interruption duration index (saidi?
Denmark ranks 98th and Spain ranks 96th 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.