न्यूज़व्यूज़पोस्ट
Incidents at Polling Stations
On Thursday morning, November 5, 2026, confrontations broke out between supporters of the YSR Congress Party (YSRCP) and the Telugu Desam Party (TDP) at several polling locations in Kadapa district during the MPTC and ZPTC elections. A dispute near a polling booth in Yerripalli village, Pulivendla mandal, escalated into a heated exchange, with reports of petrol being poured from motorcycles and firecrackers being used as weapons.
Police officials said that similar disturbances occurred in the villages of R. Thummalapalli and Parnapalli, also within Pulivendla mandal. In each case, law‑enforcement personnel were able to restore order within five minutes.
Wider Unrest Across the District
Beyond Pulivendla, stone‑throwing and other violent acts were reported in Gundlakunta village of Jammalamadugu constituency, Nandalur village in the Rajampeta division, as well as in Chintarajupalli, Railway Kodur and Badvel areas. TDP workers claimed that YSRCP leaders had urged their cadres to provoke violence ahead of the ZPTC and MPTC contests.
The Superintendent of Police, Shelke Nachiket Vishwanath, inspected security arrangements in Vemula mandal and directed officers to remain alert to ensure a peaceful voting process.
Election Outcome and Turnout
Polling in Kadapa district began at 7 a.m. and concluded at 6:30 p.m. Special security measures were deployed at 167 highly sensitive, 134 sensitive and five problematic polling stations. Despite the incidents, the majority of the district experienced a calm voting environment, with an overall voter turnout of 71.78%.
According to District Collector Dr. Sridhar Cherukuri, out of 456,000 registered voters, 327,000 cast their ballots. For the 16 ZPTC seats, 312,000 of 432,000 eligible voters participated, marking a 72.15% turnout. In the elections for 55 MPTC seats, 206,000 of 300,000 voters voted, resulting in a 68.74% turnout.
Source: India Latest News: Top National Headlines Today & Breaking News | The Hindu
Featured image: representational, AI generated.
