URMILA DEVI
27 candidacies between 1962 and 2022, 1 won, across 23 constituencies.
Every contest
| Year | Constituency | House | Party | Votes | Share | Position | Result |
|---|---|---|---|---|---|---|---|
| 2022 | ROHANIYAUttar Pradesh | AE | BAHUJANMUK… | 1,309 | 0.53% | 10 | Lost |
| 2020 | BELDAURBihar | AE | JNSHKVPD | 836 | 0.47% | 16 | Lost |
| 2017 | CHARKHARIUttar Pradesh | AE | SP | 54,346 | 25.43% | 2 | Lost |
| 2017 | SANDIUttar Pradesh | AE | IND | 1,456 | 0.78% | 5 | Lost |
| 2013 | SadulshaharRajasthan | AE | BHBP | 1,415 | 0.86% | 9 | Lost |
| 2012 | KARHALUttar Pradesh | AE | INC | 9,840 | 4.99% | 4 | Lost |
| 2009 | LALGANJUttar Pradesh | LS | IND | 2,408 | 0.37% | 11 | Lost |
| 2005 | GOHBihar | AE | CPI(ML)(L) | 2,878 | 3.11% | 7 | Lost |
| 2005 | SULTANGANJBihar | AE | IND | 2,140 | 1.85% | 6 | Lost |
| 2005 | GOHBihar | AE | CPI(ML)(L) | 1,137 | 1.20% | 7 | Lost |
| 2002 | GANGIRIUttar Pradesh | AE | RPD | 1,798 | 1.39% | 6 | Lost |
| 2002 | GHIRORUttar Pradesh | AE | SP | 37,972 | 33.71% | 2 | Lost |
| 2000 | MOHANIABihar | AE | IND | 723 | 0.68% | 7 | Lost |
| 1996 | GHIRORUttar Pradesh | AE | SP | 41,965 | 41.19% | 1 | Elected |
| 1996 | SATNAMadhya Pradesh | LS | IND | 2,521 | 0.39% | 16 | Lost |
| 1995 | WARISNAGARBihar | AE | IND | 264 | 0.26% | 14 | Lost |
| 1991 | KAURIRAMUttar Pradesh | AE | BSP | 10,666 | 11.40% | 5 | Lost |
| 1991 | GHIRORUttar Pradesh | AE | JP | 26,075 | 31.61% | 2 | Lost |
| 1991 | GANGIRIUttar Pradesh | AE | IND | 32 | 0.03% | 20 | Lost |
| 1990 | GOVINDPURAMadhya Pradesh | AE | IND | 152 | 0.18% | 15 | Lost |
| 1985 | GIRIDIHBihar | AE | INC | 13,310 | 25.77% | 2 | Lost |
| 1985 | PATNA WESTBihar | AE | CPI | 7,639 | 8.42% | 4 | Lost |
| 1985 | MOTIHARIBihar | AE | IND | 71 | 0.09% | 14 | Lost |
| 1980 | GUNNAURUttar Pradesh | AE | IND | 277 | 0.45% | 6 | Lost |
| 1977 | GHANSORMadhya Pradesh | AE | JNP | 12,178 | 36.07% | 2 | Lost |
| 1972 | ATRIBihar | AE | INC | 18,685 | 23.56% | 3 | Lost |
| 1962 | BAGODARBihar | AE | INC | 3,153 | 23.02% | 2 | Lost |
Candidacies are grouped by a normalised name, which is the only key the source data offers. Two different people who share a name will appear on one page, and one person whose name was spelled differently across decades may appear on two. Check the constituency and party before treating a long career as a single person’s.
