The reclassification of Afghanistan and Pakistan from the South Asia (SA) grouping into the Middle East and North Africa, Afghanistan and Pakistan (MENAAP) region by the World Bank highlights how regional boundaries can significantly influence the interpretation of global development data. While such changes may appear administrative or technical in nature, they have far-reaching implications for how economic trends, population structures, and development indicators are analyzed and understood at both regional and global levels.
According to a detailed World Bank analysis, regional classifications are not merely geographical labels but analytical frameworks that shape development narratives, policy design, and statistical reporting. These groupings organize 189 member countries into regions based on operational priorities, shared economic characteristics, and cross-border linkages. As a result, when countries shift between regions, the statistical composition of those regions changes, altering long-term comparisons and trend analysis.
The reclassification of Pakistan and Afghanistan into MENAAP has notably reshaped key demographic indicators. The total population of the MENAAP region increased significantly from 519 million under the previous classification to 813 million under the revised grouping. Pakistan alone now accounts for nearly one-third of the total population in the new region, significantly shifting demographic weight within the grouping. At the same time, the inclusion of these countries has contributed to a younger population structure, increasing the youth dependency ratio while reducing the proportion of older dependents.
In contrast, the South Asia region experienced a reduction in total population from approximately 2.0 billion to 1.7 billion following the reclassification. However, internal distribution among remaining countries such as India, Bangladesh, Nepal, Sri Lanka, Bhutan, and the Maldives saw relatively modest adjustments. India’s share of regional population and GDP became more dominant under the revised structure, further concentrating economic weight within a single economy.
Economic indicators are also affected by these changes. The total GDP of the MENAAP region increased by 8.5 percent compared to the previous classification, while South Asia’s total GDP decreased by 8.0 percent. However, Pakistan and Afghanistan maintain relatively stable shares within their respective regional totals, indicating that the broader shifts are largely driven by compositional changes rather than sudden economic transformations. Over the period from 2021 to 2024, average GDP growth in MENAAP was slightly lower compared to its previous grouping, while South Asia showed marginally higher growth after reclassification.
Labor market indicators similarly reflect the impact of regional restructuring. The youth employment-to-population ratio in MENAAP rose from around 19 percent to 27 percent after the inclusion of Pakistan and Afghanistan, both of which have large youth populations and differing employment dynamics compared to other economies in the region. Meanwhile, youth unemployment rates in MENAAP declined from 25 percent to 19 percent, reflecting the weighted influence of these newly included economies. In South Asia, changes were relatively limited, with India continuing to dominate demographic and labor market indicators.
The World Bank analysis emphasizes that such reclassifications highlight an important methodological issue in development economics: regional aggregates are highly sensitive to composition changes. As countries are added or removed from regional groupings, observed trends may reflect statistical restructuring rather than actual economic change.
Going forward, the analysis recommends combining regional aggregates with country-level data and conducting sensitivity checks to ensure accurate interpretation of trends. This approach helps distinguish between real economic shifts and changes driven by classification methodology, ensuring more reliable policy analysis and development planning in an evolving global data landscape.
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