Kozhikode, Payyoli Rise in National Cleanliness Rankings with Improved Record-Keeping

Quick Summary

• Kozhikode Corporation in Kerala achieved meaningful enhancement in the Swachh Survekshan 2024 rankings, moving from rank 3,367 (in 2023) to rank 70.
• Payyoli municipality similarly rose from rank 3,707 to rank 596 and was listed among the ‘Garbage free Cities’ with a one-star rating.
• Shift attributed to better documentation practices and sustained cleanliness efforts under State government initiatives like ‘Malinya Muktha Navakeralam.’
• kozhikode Corporation emphasized improving documentation processes under guidance from Suchitwa Mission rather than introducing new cleanliness measures.
• Payyoli municipality established multiple Material recovery Facilities (MCFs) across divisions, awareness boards, mural campaigns, and installed CCTV cameras at illegal dumping sites.
• Suchitwa Mission’s intervention has elevated several urban civic bodies’ rankings across Kerala for the first time since Swachh Survekshan began in 2016.

Indian Opinion Analysis

The strides made by Kozhikode Corporation and Payyoli municipality reflect a shift towards prioritizing effective dialog of pre-existing achievements alongside consistent ground-level works focused on waste management. Kerala’s use of programs like ‘Malinya Muktha Navakeralam’ demonstrates how coordinated state initiatives can enhance public hygiene outcomes when backed by proper administrative frameworks such as those facilitated by the Suchitwa Mission.

These rankings are indicative not just of operational efficiency but also an increased readiness to engage in competitive evaluations that promote accountability among local bodies. The emergence of urban civic bodies from Kerala within top ranks for the first time further underscores their ongoing commitment toward sustainable waste management solutions paired with public outreach efforts.

For othre states or municipalities aiming to improve their standings in future surveys, replicating strategic investments such as scalable models like MCFs alongside enhanced documentation could yield similar results.

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