Panama vs Vanuatu: Getting electricity: System average interruption frequency index (SAIF

Panama
5.19 DB16-20 methodology
in 2019
Vanuatu
5.14 DB16-20 methodology
in 2019
Panama rank
31st
Vanuatu rank
32nd

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

  • Panama
  • Vanuatu
0246810201420162019

How they compare

Panama currently reports 5.19 DB16-20 methodology against 5.14 DB16-20 methodology in Vanuatu, a difference of 0.05 DB16-20 methodology.

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

Panama ranks 31st and Vanuatu ranks 32nd of 124 countries.

Vanuatu 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, Panama or Vanuatu?
Panama, at 5.19 DB16-20 methodology against 5.14 DB16-20 methodology in Vanuatu as of 2019.
What is the difference in getting electricity: system average interruption frequency index (saif between Panama and Vanuatu?
0.05 DB16-20 methodology, with Panama ahead.
How many years of comparable data are there for Panama and Vanuatu?
6 years are reported by both, from 2014 to 2019.
How do Panama and Vanuatu rank globally for getting electricity: system average interruption frequency index (saif?
Panama ranks 31st and Vanuatu ranks 32nd 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.