ABP CVoter Snap Poll: Congress With CM Face Or BJP Without It — Voters Say Who Is Likely To Have Edge
The Election Commission has already announced the schedule for the state legislative elections in Madhya Pradesh, Chhattisgarh, Telangana, Rajasthan, and Mizoram.
New Delhi: As the upcoming assembly elections draw near, ABP and CVoter reached out to the voters of three states — Madhya Pradesh, Chhattisgarh, and Rajasthan — to find out if they would favor the Congress party contesting the elections with a CM face or BJP without a CM face.
The Election Commission has already announced the schedule for the state legislative elections in Madhya Pradesh, Chhattisgarh, Telangana, Rajasthan, and Mizoram.
On the question 'According to you, who will benefit from Congress contesting the elections with a CM face and BJP contesting the elections with collective leadership or without a CM face?', 42.9% of voters in Chhattisgarh opined that BJP would benefit while another 42.9% said that Congress would benefit in the state.
Lastly, 14.1% of respondents couldn't definitively say which party would benefit the most in Chhattisgarh.
In Madhya Pradesh, where the BJP is in power, 51.7% are of the view that Congress would benefit the most whereas 34.9% believe BJP will benefit from contesting the elections with a CM face.
Meanwhile, 13.5% of respondents couldn't definitively say which party would benefit the most in Madhya Pradesh.
In Rajasthan, 44.5% said that BJP will benefit while only 39% said the same for the Congress. 16.6% of respondents couldn't definitively say which party would benefit the most.
According to the poll schedule, Chhattisgarh will vote in two phases -- Nov 7 and Nov 17. Madhya Pradesh and Rajasthan will go through a single phase of voting on Nov 17 and Nov 25 respectively. The results will be announced on December 3.
[Disclaimer: This survey was based on CVoter personal interviews conducted among 2,812 adults across India. Sometimes the table figures do not sum to 100 due to the effects of rounding off. The margin of error is +/- 3% at the macro level and +/- 5% at the micro level. We believe this will give the closest possible resemblance to the trends.]