J. H. S. MAHULA R.N.-2 PS 160
BANDANA SINGH
BJPBJP264 votes at this polling station
over SHANKAR YADAV (BSP)
The electorate
Vote share in this booth
Candidates at this booth
| # | Candidate | Party | Votes | Share | |
|---|---|---|---|---|---|
| 1 | BANDANA SINGH | BJP | 264 | 47.14% | |
| 2 | SHANKAR YADAV | BSP | 172 | 30.71% | |
| 3 | HRIDAY NARAYAN SINGH PATEL | SP | 98 | 17.50% | |
| 4 | NOTA | NOTA | 9 | 1.61% | |
| 5 | RANA KHATOON | INC | 6 | 1.07% | |
| 6 | BABULAL BHARTI | IDPDNT | 3 | 0.54% | |
| 7 | PANKAJ MAURYA | JAP | 2 | 0.36% | |
| 8 | ABHIMANYU | BMP | 2 | 0.36% | |
| 9 | CHANDRIKA | IDPDNT | 1 | 0.18% | |
| 10 | SAHTU | IDPDNT | 1 | 0.18% | |
| 11 | AMIRCHAND RAMLAKHAN YADAV | ASP | 1 | 0.18% | |
| 12 | NESAR | PECP | 1 | 0.18% | |
| 13 | MUKESH RAI | AAP | 0 | 0.00% | |
| 14 | VIRENDRA YADAV | AJP | 0 | 0.00% | |
| 15 | ISHRAK | IDPDNT | 0 | 0.00% |
Share is each candidate's votes over the 560 votes counted at this station, computed here from the candidate rows themselves — the source publishes no booth total of its own on this table.
Party status in this booth
Strong, Average, Weak and Poor are the source's own classification of a party's performance in a booth, carried through unchanged — we neither assign nor recompute them.
| Party | Votes | % of booth | Rank here | Booth rank for party | Status |
|---|---|---|---|---|---|
| BJP | 264 | 47.14% | 1 | 55 | Strong |
| BSP | 172 | 30.71% | 2 | 82 | Average |
| SP | 98 | 17.50% | 3 | 351 | Weak |
| NOTA | 9 | 1.61% | 4 | 6 | Poor |
| INC | 6 | 1.07% | 5 | 59 | Poor |
| IDPDNT | 5 | 0.89% | 6 | 177 | Poor |
| JAP | 2 | 0.36% | 8 | 131 | Poor |
| BMP | 2 | 0.36% | 7 | 137 | Poor |
| PECP | 1 | 0.18% | 10 | 95 | Poor |
| ASP | 1 | 0.18% | 9 | 118 | Poor |
| AAP | 0 | 0.00% | 11 | 280 | Poor |
| AJP | 0 | 0.00% | 12 | 244 | Poor |
"Booth rank for party" is this station's position among every booth that party contested in AC 345, as ranked by the source.
Where this comes from
Polling-station Form 20 sheets for Uttar Pradesh, 2022 Vidhan Sabha. Booth data is Uttar Pradesh only: the source tables key on assembly-constituency number and carry no state column, so nothing here should be read as national coverage.