New Surveys Shift Poverty Estimates Across Countries, World Bank Data Shows
Washington, D.C., 2024 — A new World Bank analysis demonstrates how improved household survey methods can dramatically alter the way countries measure poverty. The study, presented in Mahler et al. (2024), shows that updated data collection techniques have shifted national poverty lines in several nations, highlighting the importance of accurate statistics for policymaking.
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What the Chart Shows
The figure compares the national poverty line in USD/day before and after survey improvements across ten countries: Benin, Burkina Faso, Bangladesh, Bhutan, China, Côte d’Ivoire, Guinea, Guinea-Bissau, Mali, and Togo.
For most countries, the shift is moderate, moving within the $2–$4 per day range.
Bhutan is the most striking outlier, with its poverty line jumping from around $3.50 to more than $7.50 per day after improved measurement.
Countries like China, Guinea, and Burkina Faso show relatively small adjustments, indicating greater stability in their survey methods.
In contrast, Mali and Guinea-Bissau display noticeable upward shifts, suggesting that poverty may have been underestimated in earlier surveys.
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Why Improved Surveys Matter
Accurate poverty lines are critical for:
Policy targeting — ensuring aid reaches the most vulnerable groups.
International comparisons — aligning local measures with global poverty thresholds.
Development planning — allowing governments to allocate resources more effectively.
When surveys underestimate living costs or miss segments of the population, governments risk underfunding essential programs. By refining methods, nations get a clearer picture of poverty, which can transform development strategies.
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Global Implications
The results underscore how data quality shapes the fight against poverty. In some cases, millions of additional people may fall under the poverty line once improved surveys are applied. The World Bank stresses that beyond economic growth, better measurement is key to achieving sustainable development and reducing inequality worldwide.
