Maharashtra · Vidhan Sabha (State Assembly) Election 1999
Mahajan Rajaram Ganu of Indian National Congress won the Raver Vidhan Sabha (Assembly) constituency in Maharashtra in the 1999 state assembly election, securing 47,719 votes (43.40% vote share). The runner-up was Arun Pandurang Patil (Bharatiya Janata Party) with 41,251 votes.
A total of 6 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 | Mahajan Rajaram Ganu | 47719 | 43.40% | Indian National Congress |
| 2 | Arun Pandurang Patil | 41251 | 37.50% | Bharatiya Janata Party |
| 3 | Shirish Madhukarrao Chaudhary | 20588 | 18.70% | Nationalist Congress Party |
| 4 | Kamble Dilip Tanbaji | 228 | 0.20% | Independent |
| 5 | Rahul Ramchandra Tayade | 120 | 0.10% | Independent |
| 6 | Patil Nivrutti Ukha | 95 | 0.10% | Independent |
The Raver constituency is part of the Maharashtra Vidhan Sabha (Legislative Assembly). In the 1999 Assembly election, 6 candidates contested for this seat. Mahajan Rajaram Ganu (Indian National Congress) emerged as the winner securing 47,719 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.