Maharashtra · Vidhan Sabha (State Assembly) Election 1980
Pawar Sharadchandra Govindrao of Indian National Congress (U) won the Baramati Vidhan Sabha (Assembly) constituency in Maharashtra in the 1980 state assembly election, securing 54,919 votes (66.80% vote share). The runner-up was Chopade Marutrao Dhondiba (Indian National Congress (I)) with 26,550 votes.
A total of 5 candidates contested this assembly seat. State Assembly elections elect Members of the Legislative Assembly (MLAs) using India's First-Past-The-Post (FPTP) system, and the party or alliance winning a majority of seats forms the state government. Full candidate-wise vote breakdown, vote shares, and constituency information are shown below.
| Position | Candidate Name | Votes | Votes% | Party |
|---|---|---|---|---|
| 1 | Pawar Sharadchandra Govindrao | 54919 | 66.80% | Indian National Congress (U) |
| 2 | Chopade Marutrao Dhondiba | 26550 | 32.30% | Indian National Congress (I) |
| 3 | Aghor Ramchandra Purushottam | 296 | 0.40% | Independent |
| 4 | Paranjape Balkrishna Bhaskar | 290 | 0.40% | Independent |
| 5 | Vishvanath Keshav Bhosale | 153 | 0.20% | Independent |
The Baramati constituency is part of the Maharashtra Vidhan Sabha (Legislative Assembly). In the 1980 Assembly election, 5 candidates contested for this seat. Pawar Sharadchandra Govindrao (Indian National Congress (U)) emerged as the winner securing 54,919 votes.
State Assembly elections in India determine which party or coalition forms the state government. The party or alliance winning a majority of Assembly seats in a state gets to form the government and appoint the Chief Minister. Unlike Lok Sabha elections which are held simultaneously across India, each state follows its own election cycle, typically every five years.
How to read this data: The candidate table above shows all contestants ranked by position. The vote percentage column shows each candidate's share of the total votes polled in this constituency. The bar chart visualizes the top candidates' vote counts for quick comparison.