Viet Nam's CPIA economic management cluster average (1=low to 6=high) was 3.67 in 2015, the latest year in the World Bank's World Development Indicators. That is down 15.38% from 4.33 in 2005 (1.66% a year on average, compounded).
Key figures
| Value | Year | |
|---|---|---|
| Latest | 3.67 | 2015 |
| Five years earlier | 4.17 | 2010 |
| Ten years earlier | 4.33 | 2005 |
| Highest | 4.67 | 2006 |
| Lowest | 3.67 | 2015 |
| Average since 2006 | 4.18 | 2006–2015 |
| First recorded | 4.33 | 2005 |
What the numbers say
In 2015, Viet Nam's CPIA economic management cluster average (1=low to 6=high) fell 8.3% on 2014 (from 4 to 3.67).
Across the 9 yearly changes before that (2006 to 2014), the average change was −0.8% and a typical year strayed about 4.6% from that (the standard deviation). This year's change was 1.6 standard deviations below that average, so it was larger than a typical year, though not out of the range seen before.
On record, the biggest yearly rise was 7.7% in 2006 and the biggest yearly fall was 8.3% in 2015. 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 downward, about 0.08 a year. A straight line explains 78% 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 | 3.67 | 2015 |
| World | 3.17 | 2025 |
| East Asia & Pacific | 3.04 | 2025 |
| Upper middle income | 3.28 | 2025 |
Closest to Viet Nam in the 2015 ranking
- Bolivia — 1st of 2: 3.67
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 Economic Management cluster includes monetary and exchange rate policies, fiscal policy, and debt policy.
Limitations: The CPIA exercise is intended to capture the quality of a country's policies and institutional arrangements, focusing on key elements that are within the country's control, rather than on outcomes (such as economic growth rates) that are influenced by events beyond the country's control. More specifically, the 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.
Regional and income-group figures are computed by the World Bank as a unweighted average.
All 11 values
| Year | CPIA economic management cluster average (1=low to 6=high) |
|---|---|
| 2015 | 3.67 |
| 2014 | 4 |
| 2013 | 4.17 |
| 2012 | 4.17 |
| 2011 | 4 |
| 2010 | 4.17 |
| 2009 | 4.33 |
| 2008 | 4.3 |
| 2007 | 4.33 |
| 2006 | 4.67 |
| 2005 |
CPIA economic management cluster average (1=low to 6=high) in nearby economies
- Cambodia — 4 (2025)
- Kiribati — 2.5 (2025)
- Lao PDR — 3 (2025)
- Marshall Islands — 2.67 (2025)
- Micronesia, Fed. Sts. — 2.83 (2025)
- Mongolia — 3.17 (2019)
- Myanmar — 1.83 (2025)
- Papua New Guinea — 2.67 (2025)
- Samoa — 4.33 (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 economic management cluster average (1=low to 6=high)?
- 3.67 in 2015, according to the World Bank (World Development Indicators).
- How has it changed since 2005?
- It is down 15.38% from 4.33 in 2005 (1.66% a year on average, compounded). The highest value was 4.67 in 2006 and the lowest 3.67 in 2015.
- Is the latest change in CPIA economic management cluster average (1=low to 6=high) unusual for Viet Nam?
- In 2015, Viet Nam's CPIA economic management cluster average (1=low to 6=high) fell 8.3% on 2014 (from 4 to 3.67). Across the 9 yearly changes before that (2006 to 2014), the average change was −0.8% and a typical year strayed about 4.6% from that (the standard deviation). This year's change was 1.6 standard deviations below that average, so it was larger than a typical year, though not out of the range seen before.
- 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.ECON.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.
Legal entity
Devansh Yadav
Moradabad, Uttar Pradesh
Governing law: Courts at Moradabad, Uttar Pradesh
Phone: +91 8433475698
Legal: legal@analyzeit.in