Guyana vs Uganda: Getting electricity: System average interruption frequency index (SAIF

Guyana
106 DB16-20 methodology
in 2019
Uganda
49.81 DB16-20 methodology
in 2019
Guyana rank
3rd
Uganda rank
4th

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

  • Guyana
  • Uganda
255075100125201420162019

How they compare

Guyana currently reports 106 DB16-20 methodology against 49.81 DB16-20 methodology in Uganda, a difference of 56.19 DB16-20 methodology.

That makes Guyana's figure about 2.1 times Uganda's.

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

Guyana ranks 3rd and Uganda ranks 4th of 124 countries.

Guyana 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, Guyana or Uganda?
Guyana, at 106 DB16-20 methodology against 49.81 DB16-20 methodology in Uganda as of 2019.
What is the difference in getting electricity: system average interruption frequency index (saif between Guyana and Uganda?
56.19 DB16-20 methodology, with Guyana ahead.
How many years of comparable data are there for Guyana and Uganda?
6 years are reported by both, from 2014 to 2019.
How do Guyana and Uganda rank globally for getting electricity: system average interruption frequency index (saif?
Guyana ranks 3rd and Uganda ranks 4th 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.