Aay 4 Page File

Move from decennial BPL censuses to annual community-based identification using mobile surveys (e.g., Rajasthan’s Grameen Sathi model). Use AI and satellite data to detect affluent households with assets like cars or ACs and remove them.

The largest criticism is inaccurate targeting. A 2018 Comptroller and Auditor General (CAG) report found that 34% of AAY households were not among the poorest; conversely, 46% of eligible extreme-poor households were excluded. Reasons include outdated BPL lists, political favoritism, and corruption. aay 4 page

Data from the National Family Health Survey (NFHS-5, 2019–21) showed that AAY districts had significantly lower rates of stunting (34% vs 42% in non-AAY high-poverty areas) among children under five, though causality requires further analysis. Move from decennial BPL censuses to annual community-based