Peru vs Vietnam: Getting electricity: System average interruption frequency index (SAIF

Peru
1.73 DB16-20 methodology
in 2019
Vietnam
1.57 DB16-20 methodology
in 2019
Peru rank
60th
Vietnam rank
62nd

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

  • Peru
  • Vietnam
051015201420162019

How they compare

Peru currently reports 1.73 DB16-20 methodology against 1.57 DB16-20 methodology in Vietnam, a difference of 0.16 DB16-20 methodology.

That makes Peru's figure about 1.1 times Vietnam's.

The two have swapped places 1 time across 6 shared years of data; in 2014 it was Vietnam ahead.

Peru ranks 60th and Vietnam ranks 62nd of 124 countries.

Vietnam 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, Peru or Vietnam?
Peru, at 1.73 DB16-20 methodology against 1.57 DB16-20 methodology in Vietnam as of 2019.
What is the difference in getting electricity: system average interruption frequency index (saif between Peru and Vietnam?
0.16 DB16-20 methodology, with Peru ahead.
How many years of comparable data are there for Peru and Vietnam?
6 years are reported by both, from 2014 to 2019.
How do Peru and Vietnam rank globally for getting electricity: system average interruption frequency index (saif?
Peru ranks 60th and Vietnam ranks 62nd 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.