Czechia vs Namibia: Getting electricity: System average interruption duration index (SAIDI

Czechia
0.48 DB16-20 methodology
in 2019
Namibia
0.49 DB16-20 methodology
in 2019
Czechia rank
101st
Namibia rank
99th

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

  • Czechia
  • Namibia
00.20.40.60.8201420162019

How they compare

Namibia currently reports 0.49 DB16-20 methodology against 0.48 DB16-20 methodology in Czechia, a difference of 0.01 DB16-20 methodology.

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

Czechia ranks 101st and Namibia ranks 99th of 125 countries.

Namibia 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, Czechia or Namibia?
Namibia, at 0.49 DB16-20 methodology against 0.48 DB16-20 methodology in Czechia as of 2019.
What is the difference in getting electricity: system average interruption duration index (saidi between Czechia and Namibia?
0.01 DB16-20 methodology, with Namibia ahead.
How many years of comparable data are there for Czechia and Namibia?
6 years are reported by both, from 2014 to 2019.
How do Czechia and Namibia rank globally for getting electricity: system average interruption duration index (saidi?
Czechia ranks 101st and Namibia ranks 99th 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.