Belgium vs Lithuania: Getting electricity: System average interruption frequency index (SAIF

Belgium
0.4 DB16-20 methodology
in 2019
Lithuania
0.4 DB16-20 methodology
in 2019
Belgium rank
96th
Lithuania rank
96th

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

  • Belgium
  • Lithuania
0.20.30.40.50.60.7201420162019

How they compare

Belgium currently reports 0.4 DB16-20 methodology against 0.4 DB16-20 methodology in Lithuania, a difference of 0 DB16-20 methodology.

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

Belgium ranks 96th and Lithuania ranks 96th of 124 countries.

Belgium 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, Belgium or Lithuania?
Belgium, at 0.4 DB16-20 methodology against 0.4 DB16-20 methodology in Lithuania as of 2019.
What is the difference in getting electricity: system average interruption frequency index (saif between Belgium and Lithuania?
0 DB16-20 methodology, with Belgium ahead.
How many years of comparable data are there for Belgium and Lithuania?
6 years are reported by both, from 2014 to 2019.
How do Belgium and Lithuania rank globally for getting electricity: system average interruption frequency index (saif?
Belgium ranks 96th and Lithuania ranks 96th 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.