Viet Nam's CPIA structural policies cluster average (1=low to 6=high) was 3.5 in 2015, the latest year in the World Bank's World Development Indicators. That is up 5% from 3.33 in 2005 (0.49% a year on average, compounded).
Key figures
| Value | Year | |
|---|---|---|
| Latest | 3.5 | 2015 |
| Five years earlier | 3.33 | 2010 |
| Ten years earlier | 3.33 | 2005 |
| Highest | 3.5 | 2013 |
| Lowest | 3.3 | 2008 |
| Average since 2006 | 3.38 | 2006–2015 |
| First recorded | 3.33 | 2005 |
What the numbers say
In 2015, Viet Nam's CPIA structural policies cluster average (1=low to 6=high) did not change 0% on 2014 (from 3.5 to 3.5).
Across the 9 yearly changes before that (2006 to 2014), the average change was +0.6% and a typical year strayed about 1.7% from that (the standard deviation). This year's change was 0.3 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 5% in 2013 and the biggest yearly fall was 1% in 2008. The numbers show how large and when, not why; for the cause, look at what happened in that country in those years.
From 2006 to 2015 the straight-line trend is upward, about 0.02 a year. A straight line explains 65% of the movement over 10 observed years.
Worked out from the yearly values above. How the checks work: standard deviation, z-scores and straight-line trends.
How it compares
See how every economy compares in the full ranking.
| Value | Year | |
|---|---|---|
| Viet Nam | 3.5 | 2015 |
| World | 3.15 | 2025 |
| East Asia & Pacific | 3.1 | 2025 |
| Upper middle income | 3.44 | 2025 |
Closest to Viet Nam in the 2015 ranking
- Bolivia — 2nd of 2: 3.33
What this measures
The Country Policy and Institutional Assessment (CPIA) measures the extent to which a country’s policy and institutional framework supports sustainable growth and poverty reduction, and consequently the effective use of development assistance. The outcome of the exercise yields both an overall score and scores for sixteen criteria that compose the CPIA. These criteria include: A. Economic Management (1. Monetary and Exchange Rate Policies; 2. Fiscal Policy; 3. Debt Policy and Management), B. Structural Policies (4. Trade; 5. Financial Sector; 6. Business Regulatory Environment), C. Policies for Social Inclusion/Equity (7. Gender equality; 8. Equity of public resource use; 9. Building human resources; 10. Social protection and labor; 11. Policies and institutions for environmental sustainability), D. Public Sector Management and Institutions (12. Property rights and rule-based governance; 13. Quality of budgetary and financial management; 14. Efficiency of revenue mobilization; 15. Quality of public administration; 16. Transparency, accountability, and corruption in the public sector). The Structural Policies cluster includes trade, financial sector, and business regulatory environment.
Limitations: The scores depend on the level of performance each year assessed against the criteria, rather than on changes in performance compared to the previous year. The ratings depend on actual policies and performance, rather than on promises or intentions. In some cases, measures such as the passage of specific legislation can represent an important action that deserves consideration. However, the way such actions should be factored into the ratings is carefully assessed, because in the end, it is the implementation of legislation that determines the extent of its impact.
Regional and income-group figures are computed by the World Bank as a unweighted average.
All 11 values
| Year | CPIA structural policies cluster average (1=low to 6=high) |
|---|---|
| 2015 | 3.5 |
| 2014 | 3.5 |
| 2013 | 3.5 |
| 2012 | 3.33 |
| 2011 | 3.33 |
| 2010 | 3.33 |
| 2009 | 3.33 |
| 2008 | 3.3 |
| 2007 | 3.33 |
| 2006 | 3.33 |
| 2005 |
CPIA structural policies cluster average (1=low to 6=high) in nearby economies
- Cambodia — 3.5 (2025)
- Kiribati — 2.67 (2025)
- Lao PDR — 3.33 (2025)
- Marshall Islands — 2.67 (2025)
- Micronesia, Fed. Sts. — 2.83 (2025)
- Mongolia — 3.17 (2019)
- Myanmar — 1.83 (2025)
- Papua New Guinea — 3.33 (2025)
- Samoa — 3.67 (2025)
More public sector data for Viet Nam
- Arms imports (SIPRI trend indicator values) — 177 million (2025)
- Armed forces personnel, total — 522,000 (2020)
- Military expenditure (current USD) — 10.49 billion (2025)
- Military expenditure (current LCU) — 272.72 trillion (2025)
- Military expenditure (% of GDP) — 2.15% (2025)
- Armed forces personnel (% of total labor force) — 0.95% (2020)
- Military expenditure (% of general government expenditure) — 9.93% (2025)
- Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100) — 100 (2024)
- Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)
Reading data like this
Questions people ask
- What is Viet Nam's CPIA structural policies cluster average (1=low to 6=high)?
- 3.5 in 2015, according to the World Bank (World Development Indicators).
- How has it changed since 2005?
- It is up 5% from 3.33 in 2005 (0.49% a year on average, compounded). The highest value was 3.5 in 2013 and the lowest 3.3 in 2008.
- Is the latest change in CPIA structural policies cluster average (1=low to 6=high) unusual for Viet Nam?
- In 2015, Viet Nam's CPIA structural policies cluster average (1=low to 6=high) did not change 0% on 2014 (from 3.5 to 3.5). Across the 9 yearly changes before that (2006 to 2014), the average change was +0.6% and a typical year strayed about 1.7% from that (the standard deviation). This year's change was 0.3 standard deviations below that average, so it was an ordinary year: it sits within the range of normal year-to-year movement.
- Where does this data come from?
- The World Bank's World Development Indicators, licensed CC BY 4.0. Original source: CPIA database, World Bank Group (WBG), uri: https://datacatalog.worldbank.org/int/search/dataset/0038988.
Source
World Bank, World Development Indicators, indicator IQ.CPA.STRC.XQ, licensed CC BY 4.0. Original source: CPIA database, World Bank Group (WBG), uri: https://datacatalog.worldbank.org/int/search/dataset/0038988 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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