Spain vs Thailand: Getting electricity: System average interruption frequency index (SAIF

Spain
0.71 DB16-20 methodology
in 2019
Thailand
0.72 DB16-20 methodology
in 2019
Spain rank
81st
Thailand rank
79th

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

  • Spain
  • Thailand
0.50.7511.21.51.8201420162019

How they compare

Thailand currently reports 0.72 DB16-20 methodology against 0.71 DB16-20 methodology in Spain, a difference of 0.01 DB16-20 methodology.

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

Spain ranks 81st and Thailand ranks 79th of 124 countries.

Thailand 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, Spain or Thailand?
Thailand, at 0.72 DB16-20 methodology against 0.71 DB16-20 methodology in Spain as of 2019.
What is the difference in getting electricity: system average interruption frequency index (saif between Spain and Thailand?
0.01 DB16-20 methodology, with Thailand ahead.
How many years of comparable data are there for Spain and Thailand?
6 years are reported by both, from 2014 to 2019.
How do Spain and Thailand rank globally for getting electricity: system average interruption frequency index (saif?
Spain ranks 81st and Thailand ranks 79th 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.