Chile vs Moldova: Getting electricity: System average interruption frequency index (SAIF

Chile
1.47 DB16-20 methodology
in 2019
Moldova
1.5 DB16-20 methodology
in 2019
Chile rank
68th
Moldova rank
66th

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

  • Chile
  • Moldova
00.511.52201420162019

How they compare

Moldova currently reports 1.5 DB16-20 methodology against 1.47 DB16-20 methodology in Chile, a difference of 0.03 DB16-20 methodology.

The two have swapped places 2 times across 6 shared years of data; in 2014 it was Moldova ahead.

Chile ranks 68th and Moldova ranks 66th of 124 countries.

Moldova 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, Chile or Moldova?
Moldova, at 1.5 DB16-20 methodology against 1.47 DB16-20 methodology in Chile as of 2019.
What is the difference in getting electricity: system average interruption frequency index (saif between Chile and Moldova?
0.03 DB16-20 methodology, with Moldova ahead.
How many years of comparable data are there for Chile and Moldova?
6 years are reported by both, from 2014 to 2019.
How do Chile and Moldova rank globally for getting electricity: system average interruption frequency index (saif?
Chile ranks 68th and Moldova ranks 66th 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.