CPIA economic management cluster average in Pre-demographic dividend
Pre-demographic dividend: CPIA economic management cluster average was 3.14 1=low to 6=high in 2025. ▼ Falling
CPIA economic management cluster average in Pre-demographic dividend, 2005–2025
Source: CPIA database, World Bank Group (WBG). Measured in 1=low to 6=high.
Analysis
Pre-demographic dividend recorded 3.14 1=low to 6=high for cpia economic management cluster average in 2025.
Compared with earlier readings it is down 0.8% on the previous year and down 4.4% over ten years.
Over the whole period, cpia economic management cluster average in Pre-demographic dividend peaked at 3.41 1=low to 6=high in 2011 and was at its lowest, 3.11 1=low to 6=high, in 2017.
Pre-demographic dividend ranks 27th of 42 groups on this measure, in the middle of the range.
The long-run direction has been consistently falling across the 21 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 3.32 1=low to 6=high | 3.27 1=low to 6=high | 3.37 1=low to 6=high | 5 |
| 2010s | 3.28 1=low to 6=high | 3.11 1=low to 6=high | 3.41 1=low to 6=high | 10 |
| 2020s | 3.14 1=low to 6=high | 3.12 1=low to 6=high | 3.16 1=low to 6=high | 6 |
Countries ranked near Pre-demographic dividend
- 24 Bolivia, Plurinational State of 3.67 1=low to 6=high compare
- 24 Viet Nam 3.67 1=low to 6=high compare
- 26 Bhutan 3.67 1=low to 6=high compare
- 26 Cameroon 3.67 1=low to 6=high compare
- 26 Congo, Democratic Republic of the 3.67 1=low to 6=high compare
- 26 Dominica 3.67 1=low to 6=high compare
- 26 Guinea 3.67 1=low to 6=high compare
- 26 Madagascar 3.67 1=low to 6=high compare
- 26 Nigeria 3.67 1=low to 6=high compare
- 26 Saint Lucia 3.67 1=low to 6=high compare
- 26 Uganda 3.67 1=low to 6=high compare
More public sector data for Pre-demographic dividend
- Arms imports 447.00 million SIPRI trend indicator values (2024)
- Arms imports (SIPRI trend indicator values), per capita 0.4046 SIPRI trend indicator values per person (2024)
- Arms imports (SIPRI trend indicator values), per unit of GDP 0.0003 SIPRI trend indicator values per US$ of GDP (2024)
- Arms imports (SIPRI trend indicator values), annual growth rate -30.8 % change on previous year (2024)
- Arms imports (SIPRI trend indicator values), gaps filled 447.00 million SIPRI trend indicator values (2024)
- Military expenditure (current USD), per capita 20.06 current USD per person (2024)
- Military expenditure (current USD), per unit of GDP 0.0146 current USD per US$ of GDP (2024)
- Military expenditure (current USD), annual growth rate 1.45 % change on previous year (2024)
- Military expenditure (current USD), gaps filled 22.17 billion current USD (2024)
- Arms imports (SIPRI trend indicator values), per square kilometre 31.79 SIPRI trend indicator values per square kilometre (2023)
Frequently asked questions
- What is cpia economic management cluster average in Pre-demographic dividend?
- Cpia economic management cluster average in Pre-demographic dividend was 3.14 1=low to 6=high in 2025, according to CPIA database, World Bank Group (WBG).
- What is the highest cpia economic management cluster average recorded in Pre-demographic dividend?
- The highest recorded value was 3.41 1=low to 6=high in 2011.
- What is the lowest cpia economic management cluster average recorded in Pre-demographic dividend?
- The lowest recorded value was 3.11 1=low to 6=high in 2017.
- How does Pre-demographic dividend rank for cpia economic management cluster average?
- Pre-demographic dividend ranks 27th out of 42 groups with data for 2025.
- Is cpia economic management cluster average rising or falling in Pre-demographic dividend?
- Over the last ten years it is down 4.4%. The long-run trend across the full record is falling.
- Where does this Pre-demographic dividend data come from?
- The figures come from CPIA database, World Bank Group (WBG), published as part of CPIA economic management cluster average (1=low to 6=high). Statizoid updates them automatically from the source API.
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About this data
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.