The Union Rural Development Ministry announced on 30 August 2026 that every worker registered under MGNREGA has been transferred to the newly named VB‑G RAM G, irrespective of whether their e‑KYC is complete.
Key Developments
- All active workers are now part of VB‑G RAM G regardless of e‑KYC status.
- Pending e‑KYC will not block a worker from demanding or receiving work; an exception mechanism is in place.
- State and Union Territory governments remain responsible for completing e‑KYC, a process that typically takes less than 30 seconds.
- Approximately 2.11 crore workers have already been offered employment under the new scheme.
Important Facts
- e‑KYC has been completed for 15.89 crore workers, including 10.27 crore of the 10.84 crore active workers (about 95%).
- The Hindu reported that 57 lakh active workers still lack completed e‑KYC.
- The Ministry emphasized that e‑KYC is a database‑authentication measure, not a pre‑condition for exercising the statutory right to work.
- The Centre is urging all states to expedite e‑KYC for the remaining workers while monitoring the transition.
Exam Relevance
This development touches upon several UPSC syllabus points. Understanding MGNREGA and its evolution to VB‑G RAM G is essential for questions on social welfare programmes, implementation challenges, and federal‑state coordination. The role of e‑KYC highlights the intersection of technology with governance, a recurring theme in GS3. Moreover, the Ministry’s statement underscores the importance of administrative mechanisms (exception process) that safeguard citizens’ rights, relevant for GS2 (Polity) and GS4 (Ethics).
Way Forward
States should accelerate the e‑KYC drive to achieve a fully authenticated worker database, thereby reducing fraud and improving scheme efficiency. The Centre must continue monitoring the migration to ensure no worker is denied work due to technical delays. Periodic audits and capacity‑building at the grassroots level will help maintain the credibility of VB‑G RAM G. Finally, integrating real‑time data analytics can aid in better demand‑supply matching of work, aligning with the broader goal of inclusive rural development.