Pradhan Mantri Awas Yojana Survey Identifies 17,474 Families

Pradhan Mantri Awas Yojana identifies 17,474 families in Uttar Pradesh through a comprehensive survey aimed at providing housing benefits to the underprivileged.

  • Survey under Pradhan Mantri Awas Yojana identified 17,474 families.
  • Survey conducted across 793 village panchayats to assist eligible rural families.
  • Verification process with AI cameras ensures precision in family counting.

In a significant effort to accommodate underprivileged families, the Pradhan Mantri Awas Yojana aims to provide housing benefits to eligible households. A detailed survey was conducted to identify families lacking proper shelter in rural areas, where around 17,474 families were recognized for potential inclusion in the scheme.

Survey Details and Methodology

The survey work will continue until March 31. This initiative spans across all 793 village panchayats in the district. A dedicated team of 269 personnel successfully surveyed 16,736 families. Additionally, 736 individuals conducted their surveys, utilizing Artificial Intelligence (AI) cameras to capture photos and upload them via the Gramin Awas Plus 2024 mobile application.

Identified Missing Families By Block

The survey highlighted various areas with notable numbers of homeless families:

Block Name Number of Villages Homeless Families Identified
Sadar Block 116 3,767
Gaindas Burjaug 42 580
Gainsari 110 2,410
Harriya Satghirva 110 2,364
Pachpedawa 99 1,647
Rehra Bazar 81 1,904
Shri Dattganj 70 1,087
Tulsipur 100 2,252
Utraula 65 2,463

Thus far, the Pradhan Mantri Awas Yojana survey teams have reported findings of 17,474 missing families to the concerned department. According to Raghavendra Tiwari, the project officer of DRDA, the purpose of the survey is to ensure that eligible families receive the benefits of the housing scheme.

Next Steps for Implementation

To verify the survey outcome, the officials will introduce a checker in ten villages across each development block. This initiative aims to enhance accuracy and prioritize eligible families for housing assistance effectively.

By employing geo-tagging during the survey, the authorities hold an improved approach for tracking the families identified, ensuring that resources reach the intended beneficiaries efficiently.

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