How does Guatemala rank for getting electricity: system average interruption frequency index (saif?

Guatemala ranks 49th out of 124 countries with data for 2019.

Is getting electricity: system average interruption frequency index (saif rising or falling in Guatemala?

Over the last ten years it is down 0.4%. The long-run trend across the full record is falling.

Getting electricity: System average interruption frequency index (SAIF in Guatemala

Name: Getting electricity: System average interruption frequency index (SAIF in Guatemala
Creator: World Bank
License: CC BY 4.0 (World Bank Open Data)

Guatemala: Getting electricity: System average interruption frequency index (SAIF was 2.7 DB16-20 methodology in 2019. ▼ Falling

Latest (2019)

2.7 DB16-20 methodology

Change on year

up 11.1%

World rank

49th

of 124 countries

All-time high

2.89 DB16-20 methodology

in 2015

All-time low

2.43 DB16-20 methodology

in 2018

Years of data

2014–2019

Getting electricity: System average interruption frequency index (SAIF in Guatemala, 2014–2019

Source: World Bank. Measured in DB16-20 methodology.

Analysis

In 2019, getting electricity: system average interruption frequency index (saif in Guatemala stood at 2.7 DB16-20 methodology.

Compared with earlier readings it is up 11.1% on the previous year and down 0.4% over ten years.

That places Guatemala 49th out of 124 countries with data for 2019, putting it in the middle of the range.

Countries ranked near Guatemala

46 Serbia 3.11 DB16-20 methodology compare
47 Sri Lanka 2.98 DB16-20 methodology compare
48 Bhutan 2.88 DB16-20 methodology compare
50 India 2.38 DB16-20 methodology compare
51 Tunisia 2.28 DB16-20 methodology compare
52 Morocco 2.23 DB16-20 methodology compare
52 Philippines 2.23 DB16-20 methodology compare

See the full ranking of 125 places →

More private sector data for Guatemala

Merchandise trade 40.7% (2025)
Food imports 17.4% (2024)
Manufactures imports 64.4% (2024)
Merchandise imports 34.61 billion current US$ (2025)
Food exports 47.5% (2024)
Manufactures exports 45.9% (2024)
Merchandise exports 15.56 billion current US$ (2025)
Commercial service exports 4.55 billion current US$ (2024)
Transport services 46.4% (2024)
Computer, communications and other services 18.1% (2024)

All data for Guatemala →

Frequently asked questions

What is getting electricity: system average interruption frequency index (saif in Guatemala?: Getting electricity: system average interruption frequency index (saif in Guatemala was 2.7 DB16-20 methodology in 2019, according to the World Bank.
What is the highest getting electricity: system average interruption frequency index (saif recorded in Guatemala?: The highest recorded value was 2.89 DB16-20 methodology in 2015.
What is the lowest getting electricity: system average interruption frequency index (saif recorded in Guatemala?: The lowest recorded value was 2.43 DB16-20 methodology in 2018.
How does Guatemala rank for getting electricity: system average interruption frequency index (saif?: Guatemala ranks 49th out of 124 countries with data for 2019.
Is getting electricity: system average interruption frequency index (saif rising or falling in Guatemala?: Over the last ten years it is down 0.4%. The long-run trend across the full record is falling.
Where does this Guatemala data come from?: The figures come from the World Bank, published as part of Getting electricity: System average interruption frequency index (SAIFI) (DB16-20 methodology). Statizoid updates them automatically from the source API.

Download this data

CSV · JSON — 6 observations, free to reuse under CC BY 4.0 (World Bank Open Data).

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: 10 August 2026

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.