Pakistan's CPIA economic management cluster average (1=low to 6=high) was 3.17 in 2025, the latest year in the World Bank's World Development Indicators. That is down 5% from 3.33 in 2015 (0.51% a year on average, compounded).
Key figures
| Value | Year | |
|---|---|---|
| Latest | 3.17 | 2025 |
| Five years earlier | 3.17 | 2020 |
| Ten years earlier | 3.33 | 2015 |
| Highest | 4.17 | 2005 |
| Lowest | 2.83 | 2010 |
| Average since 2016 | 3.17 | 2016–2025 |
| First recorded | 4.17 | 2005 |
What the numbers say
In 2025, Pakistan's CPIA economic management cluster average (1=low to 6=high) did not change 0% on 2024 (from 3.17 to 3.17).
Across the 19 yearly changes before that (2006 to 2024), the average change was −1.1% and a typical year strayed about 7.5% from that (the standard deviation). This year's change was 0.2 standard deviations above 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 11.8% in 2014 and the biggest yearly fall was 21.7% 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 2016 to 2025 there is no clear straight-line trend: a straight line explains 13% 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, Pakistan had the 45th highest value of the 72 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.
| Value | Year | |
|---|---|---|
| Pakistan | 3.17 | 2025 |
| World | 3.17 | 2025 |
| Lower middle income | 3.33 | 2025 |
Closest to Pakistan in the 2025 ranking
- Burundi — 38th of 72: 3.17
- Lesotho — 39th of 72: 3.17
- Niger — 40th of 72: 3.17
- Solomon Islands — 42nd of 72: 3.17
- St. Vincent and the Grenadines — 43rd of 72: 3.17
- Zambia — 44th of 72: 3.17
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 21 values
| Year | CPIA economic management cluster average (1=low to 6=high) |
|---|---|
| 2025 | 3.17 |
| 2024 | 3.17 |
| 2023 | 3.17 |
| 2022 | 3 |
| 2021 | 3.17 |
| 2020 | 3.17 |
| 2019 | 3.17 |
| 2018 | 3 |
| 2017 | 3.17 |
| 2016 | 3.5 |
| 2015 |
CPIA economic management cluster average (1=low to 6=high) in nearby economies
- Afghanistan — 1.5 (2025)
- Djibouti — 2.67 (2025)
- Yemen, Rep. — 1.67 (2025)
More public sector data for Pakistan
- Arms imports (SIPRI trend indicator values) — 706 million (2025)
- Military expenditure (current USD) — 11.87 billion (2025)
- Military expenditure (current LCU) — 3.34 trillion (2025)
- Military expenditure (% of GDP) — 2.91% (2025)
- Battle-related deaths (number of people) — 1,534 (2024)
- Armed forces personnel, total — 943,000 (2020)
- Military expenditure (% of general government expenditure) — 13.83% (2025)
- Armed forces personnel (% of total labor force) — 1.25% (2020)
- Intentional homicides (per 100,000 people) — 4.33 (2023)
- Arms exports (SIPRI trend indicator values)
Reading data like this
Questions people ask
- What is Pakistan's CPIA economic management cluster average (1=low to 6=high)?
- 3.17 in 2025, according to the World Bank (World Development Indicators).
- How has it changed since 2005?
- It is down 24% from 4.17 in 2005 (1.36% a year on average, compounded). The highest value was 4.17 in 2005 and the lowest 2.83 in 2010.
- How does Pakistan rank?
- 45th highest of 72 economies with data for 2025.
- Is the latest change in CPIA economic management cluster average (1=low to 6=high) unusual for Pakistan?
- In 2025, Pakistan's CPIA economic management cluster average (1=low to 6=high) did not change 0% on 2024 (from 3.17 to 3.17). Across the 19 yearly changes before that (2006 to 2024), the average change was −1.1% and a typical year strayed about 7.5% from that (the standard deviation). This year's change was 0.2 standard deviations above that average, so it was an ordinary year: it sits within the range of normal year-to-year movement.
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.
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