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

Belgium
0.4 DB16-20 methodology
in 2019
Latvia
0.42 DB16-20 methodology
in 2019
Belgium rank
96th
Latvia rank
93rd

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

  • Belgium
  • Latvia
0.511.522.53201420162019

How they compare

Latvia currently reports 0.42 DB16-20 methodology against 0.4 DB16-20 methodology in Belgium, a difference of 0.02 DB16-20 methodology.

The two have swapped places 4 times across 6 shared years of data; in 2014 it was Latvia ahead.

Belgium ranks 96th and Latvia ranks 93rd of 124 countries.

Latvia 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 Latvia?
Latvia, at 0.42 DB16-20 methodology against 0.4 DB16-20 methodology in Belgium as of 2019.
What is the difference in getting electricity: system average interruption frequency index (saif between Belgium and Latvia?
0.02 DB16-20 methodology, with Latvia ahead.
How many years of comparable data are there for Belgium and Latvia?
6 years are reported by both, from 2014 to 2019.
How do Belgium and Latvia rank globally for getting electricity: system average interruption frequency index (saif?
Belgium ranks 96th and Latvia ranks 93rd 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.