Getting electricity: Reliability of supply and transparency of tariff in Solomon Islands
Solomon Islands: Getting electricity: Reliability of supply and transparency of tariff was 2 DB16-20 methodology in 2019. ▲ Rising
Getting electricity: Reliability of supply and transparency of tariff in Solomon Islands, 2014–2019
Source: World Bank. Measured in DB16-20 methodology.
Analysis
The most recent figure for getting electricity: reliability of supply and transparency of tariff in Solomon Islands is 2 DB16-20 methodology, measured in 2019. That is the highest value across all 6 years on record.
The figure is up 100.0% over ten years.
Solomon Islands ranks 135th of 187 countries on this measure, in the middle of the range.
Getting electricity: Reliability of supply and transparency of tariff in Solomon Islands, year by year
| Year | DB16-20 methodology | Change |
|---|---|---|
| 2014 | 1 DB16-20 methodology | — |
| 2015 | 1 DB16-20 methodology | +0.0% |
| 2016 | 2 DB16-20 methodology | +100.0% |
| 2017 | 1 DB16-20 methodology | -50.0% |
| 2018 | 2 DB16-20 methodology | +100.0% |
| 2019 | 2 DB16-20 methodology | +0.0% |
Countries ranked near Solomon Islands
More private sector data for Solomon Islands
- Merchandise trade 83.8% (2025)
- Food imports 22.2% (2018)
- Manufactures imports 59.9% (2018)
- Merchandise imports 790.00 million current US$ (2025)
- Food exports 20.1% (2018)
- Manufactures exports 2.2% (2018)
- Merchandise exports 677.00 million current US$ (2025)
- Merchandise exports (current US$), per capita 807.25 current US$ per person (2025)
- Merchandise exports (current US$), per unit of GDP 0.387 current US$ per US$ of GDP (2025)
- Merchandise exports (current US$), annual growth rate 33.53 % change on previous year (2025)
Frequently asked questions
- What is getting electricity: reliability of supply and transparency of tariff in Solomon Islands?
- Getting electricity: reliability of supply and transparency of tariff in Solomon Islands was 2 DB16-20 methodology in 2019, according to the World Bank.
- What is the highest getting electricity: reliability of supply and transparency of tariff recorded in Solomon Islands?
- The highest recorded value was 2 DB16-20 methodology in 2016.
- What is the lowest getting electricity: reliability of supply and transparency of tariff recorded in Solomon Islands?
- The lowest recorded value was 1 DB16-20 methodology in 2014.
- How does Solomon Islands rank for getting electricity: reliability of supply and transparency of tariff?
- Solomon Islands ranks 135th out of 187 countries with data for 2019.
- Is getting electricity: reliability of supply and transparency of tariff rising or falling in Solomon Islands?
- Over the last ten years it is up 100.0%. The long-run trend across the full record is rising.
- Where does this Solomon Islands data come from?
- The figures come from the World Bank, published as part of Getting electricity: Reliability of supply and transparency of tariff index (0-8) (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
The reliability of supply and transparency of tariff index is calculated on the basis of the following six components: (i) duration and frequency of power outages, (ii) tools to monitor power outages, (iii) tools to restore power supply, (iv) regulatory monitoring of utilities’ performance, (v) financial deterrents aimed at limiting outages, and (vi) transparency and accessibility of tariffs. An economy is eligible to obtain a score on the reliability of supply and transparency of tariffs index only if (i) the utility collects data on all types of outages (average total duration of outages per customer and the average number of outages per customer), including planned and unplanned outages, as well as load shedding, with the minimum outage time of not more than 5 minutes; and (ii) the SAIDI value is below a threshold of 100 hours and the SAIFI value is under 100 outages. The component indicator is computed based on the methodology in the DB16-20 studies.