Moldova: CPIA building human resources rating (1=low to 6=high)

Key figures

What the numbers say

From 2010 to 2019 there is no clear straight-line trend: a straight line explains less than 1% 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

See how every economy compares in the full ranking.

Closest to Moldova in the 2019 ranking

• Mongolia — 2nd of 2: 4

What this measures

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. 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 CPIA building human resources criterion assesses the national policies and public and private sector service delivery that affect access to and quality of health and education-related services.

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 15 values

CPIA building human resources rating (1=low to 6=high) in nearby economies

• Kosovo — 3.5 (2025)
• Kyrgyz Republic — 4 (2025)
• Tajikistan — 3.5 (2025)
• Uzbekistan — 4 (2025)

More public sector data for Moldova

• Intentional homicides (per 100,000 people) — 2.54 (2023)
• Military expenditure (current LCU) — 1.97 billion (2025)
• Military expenditure (% of GDP) — 0.56% (2025)
• Intentional homicides, female (per 100,000 female) — 1.27 (2023)
• Intentional homicides, male (per 100,000 male) — 4.04 (2023)
• Military expenditure (current USD) — 113.29 million (2025)
• Military expenditure (% of general government expenditure) — 1.39% (2025)
• Central government debt, total (current LCU) — 121.39 billion (2024)
• Central government debt, total (% of GDP) — 37.48% (2024)
• Grants and other revenue (current LCU)

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Questions people ask

What is Moldova's CPIA building human resources rating (1=low to 6=high)?

4 in 2019, according to the World Bank (World Development Indicators).

How has it changed since 2005?

It is unchanged at from 4 in 2005. The highest value was 4 in 2005 and the lowest 4 in 2005.

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.HRES.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.

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