Solomon Islands's control of Corruption - Governance estimate (approx. -2.5 to +2.5) was -0.16 in 2025, the latest year in the World Bank's World Development Indicators. That is up 61.11% from -0.4 in 2015.
Key figures
| Value | Year | |
|---|---|---|
| Latest | -0.16 | 2025 |
| Five years earlier | -0.03 | 2020 |
| Ten years earlier | -0.4 | 2015 |
| Highest | 0.41 | 1996 |
| Lowest | -0.48 | 2007 |
| Average since 2016 | -0.16 | 2016–2025 |
| First recorded | 0.41 | 1996 |
What the numbers say
In 2025, Solomon Islands' control of Corruption - Governance estimate (approx. -2.5 to +2.5) fell 0.02 on 2024 (from -0.14 to -0.16).
Across the 22 yearly changes before that (2003 to 2024), the average change was −0.00321 and a typical year strayed about 0.11 from that (the standard deviation). This year's change was 0.1 standard deviations below that average, so it was an ordinary year: it sits within the range of normal year-to-year movement.
On record, the biggest yearly rise was 0.26 in 2017 and the biggest yearly fall was 0.24 in 2006. The numbers show how large and when, not why; for the cause, look at what happened in that country in those years.
From 2016 to 2025 there is no clear straight-line trend: a straight line explains 7% of the movement over 10 observed years, so the value is moving around more than it is heading anywhere.
Worked out from the yearly values above. How the checks work: standard deviation, z-scores and straight-line trends.
How it compares
In 2025, Solomon Islands had the 101st highest value of the 205 economies reporting that year. Higher is not always better: for some indicators the lowest value is the one to aim for. See the full ranking.
Closest to Solomon Islands in the 2025 ranking
What this measures
Control of Corruption (CC) captures perceptions of the extent to which public power is used for private gain, including both petty and grand corruption, as well as capture of the state by elites and private interests. Governance estimate from the aggregation model, in units of a standard normal distribution, i.e. ranging from approximately -2.5 to 2.5. Larger values correspond to better governance. The (country-series-time) metadata include the (a) number of sources, and (b) standard error. The number of sources indicates the number of underlying data sources on which the governance estimate is based. The standard error indicates the precision of the governance estimate. Larger values indicate less precise estimates. A 90% confidence interval for the governance estimate is given by the estimate +/- 1.64 times the standard error.
Limitations: The WGI are perception-based measures which draw on 35 distinct underlying data sources, namely expert assessments and household/firm surveys. Data sources based on expert assessments have both strengths and limitations relative to surveys. A key strength is that they are well suited to cross-country comparison, since their methodologies are explicitly designed for this purpose. Expert assessments can also provide more detailed technical judgments on specific public institutions or governance functions that typical household or firm survey respondents may not be well placed to assess.
Regional and income-group figures are computed by the World Bank as a indicators, from the underlying data sources, are aggregated using the unobserved components model (ucm). the ucm is essentially a weighted average, resulting in a governance estimate at the country level. the following provides a detailed description of the aggregation methodology: https://www.worldbank.org/content/dam/sites/govindicators/doc/the%20worldwide%20governance%20indicators%202025%.
All 27 values
| Year | Control of Corruption - Governance estimate (approx. -2.5 to +2.5) |
|---|---|
| 2025 | -0.155 |
| 2024 | -0.1388 |
| 2023 | -0.1756 |
| 2022 | -0.1762 |
| 2021 | -0.1728 |
| 2020 | -0.0273 |
| 2019 | -0.001 |
| 2018 | -0.1477 |
| 2017 | -0.1493 |
| 2016 | -0.4084 |
| 2015 |
Control of Corruption - Governance estimate (approx. -2.5 to +2.5) in nearby economies
- American Samoa — 1.18 (2025)
- Australia — 1.84 (2025)
- Brunei Darussalam — 0.99 (2025)
- Cambodia — -1.26 (2025)
- China — 0.07 (2025)
- Fiji — 0.53 (2025)
- Guam — 1.18 (2025)
- Hong Kong SAR, China — 1.64 (2025)
- Indonesia
More policy & institutions data for Solomon Islands
- Control of Corruption - Governance score (0-100) — 44.92 (2025)
- Political Stability - Governance estimate (approx. -2.5 to +2.5) — 0.75 (2025)
- Political Stability - Governance score (0-100) — 78.7 (2025)
- Rule of Law - Governance estimate (approx. -2.5 to +2.5) — 0.18 (2025)
- Rule of Law - Governance score (0-100) — 61.59 (2025)
- Voice and Accountability - Governance estimate (approx. -2.5 to +2.5) — 0.62 (2025)
- Voice and Accountability - Governance score (0-100) — 69.14 (2025)
- Government Effectiveness - Governance estimate (approx. -2.5 to +2.5) — -0.85 (2025)
Reading data like this
Questions people ask
- What is Solomon Islands's control of Corruption - Governance estimate (approx. -2.5 to +2.5)?
- -0.16 in 2025, according to the World Bank (World Development Indicators).
- How has it changed since 1996?
- It is down 137.62% from 0.41 in 1996. The highest value was 0.41 in 1996 and the lowest -0.48 in 2007.
- How does Solomon Islands rank?
- 101st highest of 205 economies with data for 2025.
- Is the latest change in control of Corruption - Governance estimate (approx. -2.5 to +2.5) unusual for Solomon Islands?
Source
World Bank, World Development Indicators, indicator GOV_WGI_CC_EST, licensed CC BY 4.0. Original source: The Worldwide Governance Indicators: Revised Methodology for Measuring Governance Using Perception Data., World Bank Group (WBG), uri: https://www.worldbank.org/en/publication/worldwide-governance-indicators, note: Detailed documentation of the WGI, interactive tools for exploring the data, and full… Figures are fetched from the World Bank API and refreshed monthly; see the series on data.worldbank.org. The full definition and method are in the World Bank's metadata glossary. Comparisons use the same World Bank release.
Want to ask your own questions of data like this? Try AnalyzeIt: upload a file or ask about public data in plain words, and every figure comes with its working.
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