Getting electricity: System average interruption duration in Palau

Palau: Getting electricity: System average interruption duration index was 615.7 DB16-20 methodology in 2019. ◆ Volatile

Latest (2019)
615.7 DB16-20 methodology
Change on year
down 35.3%
World rank
2nd
of 127 countries
All-time high
951.3 DB16-20 methodology
in 2018
All-time low
128 DB16-20 methodology
in 2014
Years of data
6
2014–2019

Getting electricity: System average interruption duration index in Palau, 2014–2019

2004006008001.0k2014201620192014: 128 DB16-20 methodology2015: 149 DB16-20 methodology2016: 128 DB16-20 methodology2017: 482.3 DB16-20 methodology2018: 951.3 DB16-20 methodology2019: 615.7 DB16-20 methodology

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

Analysis

The most recent figure for getting electricity: system average interruption duration index in Palau is 615.7 DB16-20 methodology, measured in 2019.

That represents a change of down 35.3% on the previous year and up 381.0% over ten years.

Palau ranks 2nd of 127 countries on this measure, in the top 10%.

Getting electricity: System average interruption duration index in Palau, year by year

Annual values for Getting electricity: System average interruption duration index (SAIDI) (DB16-20 methodology) in Palau, 2014 to 2019.
Year DB16-20 methodology Change
2014 128 DB16-20 methodology —
2015 149 DB16-20 methodology +16.4%
2016 128 DB16-20 methodology -14.1%
2017 482.33 DB16-20 methodology +276.8%
2018 951.3 DB16-20 methodology +97.2%
2019 615.7 DB16-20 methodology -35.3%

Palau compared with similar countries

  • Palau's 615.7 DB16-20 methodology is above the median for high income countries, which is 0.775 DB16-20 methodology, 794.5× the median. (60 countries reporting)
  • Palau's 615.7 DB16-20 methodology is above the median for East Asia & Pacific, which is 2.96 DB16-20 methodology, 208.0× the median. (22 countries reporting)

Countries ranked near Palau

  1. 1 Papua New Guinea 940 DB16-20 methodology compare
  2. 3 Niger 165 DB16-20 methodology compare
  3. 4 Guyana 113 DB16-20 methodology compare
  4. 5 Nicaragua 93.6 DB16-20 methodology compare

See the full ranking of 127 places →

More private sector data for Palau

All data for Palau →

Frequently asked questions

What is getting electricity: system average interruption duration index in Palau?
Getting electricity: system average interruption duration index in Palau was 615.7 DB16-20 methodology in 2019, according to the World Bank.
What is the highest getting electricity: system average interruption duration index recorded in Palau?
The highest recorded value was 951.3 DB16-20 methodology in 2018.
What is the lowest getting electricity: system average interruption duration index recorded in Palau?
The lowest recorded value was 128 DB16-20 methodology in 2014.
How does Palau rank for getting electricity: system average interruption duration index?
Palau ranks 2nd out of 127 countries with data for 2019.
Is getting electricity: system average interruption duration index rising or falling in Palau?
Over the last ten years it is up 381.0%. The long-run trend across the full record is volatile.
Where does this Palau data come from?
The figures come from the World Bank, published as part of Getting electricity: System average interruption duration index (SAIDI) (DB16-20 methodology). Statizoid updates them automatically from the source API.

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Getting electricity: System average interruption duration index in Palau. Statizoid. Retrieved 07 October 2026, from https://private-sector.statizoid.com/stat/getting-electricity-system-average-interruption-duration-index-saidi-db16-20-methodology/palau/

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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
127 places, 758 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.