Brazil vs Peru: Getting electricity: System average interruption duration index (SAIDI

Brazil
6.64 DB16-20 methodology
in 2019
Peru
6.39 DB16-20 methodology
in 2019
Brazil rank
32nd
Peru rank
33rd

Getting electricity: System average interruption duration index (SAIDI over time

  • Brazil
  • Peru
05101520201420162019

How they compare

Brazil currently reports 6.64 DB16-20 methodology against 6.39 DB16-20 methodology in Peru, a difference of 0.25 DB16-20 methodology.

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

Brazil ranks 32nd and Peru ranks 33rd of 125 countries.

Brazil has averaged higher in every one of the 1 decades both report.

Frequently asked questions

Which has higher getting electricity: system average interruption duration index (saidi, Brazil or Peru?
Brazil, at 6.64 DB16-20 methodology against 6.39 DB16-20 methodology in Peru as of 2019.
What is the difference in getting electricity: system average interruption duration index (saidi between Brazil and Peru?
0.25 DB16-20 methodology, with Brazil ahead.
How many years of comparable data are there for Brazil and Peru?
6 years are reported by both, from 2014 to 2019.
How do Brazil and Peru rank globally for getting electricity: system average interruption duration index (saidi?
Brazil ranks 32nd and Peru ranks 33rd of 125 countries.
Where does this data come from?
The World Bank, published as Getting electricity: System average interruption duration index (SAIDI) (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 duration index (SAIDI) (DB16-20 methodology)
Unit
DB16-20 methodology
Source
World Bank
Licence
CC BY 4.0 (World Bank Open Data)
Coverage
126 places, 752 data points, 2014–2019
Last refreshed

The system average interruption duration index is the average total duration of outages (in hours) experienced by a customer in a year. The index is computed based on the methodology in the DB16-20 studies.