JAGDISH CHANDRA
26 candidacies between 1962 and 2022, 2 won, across 24 constituencies.
Every contest
| Year | Constituency | House | Party | Votes | Share | Position | Result |
|---|---|---|---|---|---|---|---|
| 2022 | SALTUttarakhand | AE | UTTARAKHAN… | 327 | 0.73% | 8 | Lost |
| 2019 | PALIRajasthan | LS | IND | 2,337 | 0.17% | 8 | Lost |
| 2018 | Kishangarh BasRajasthan | AE | ABRJP | 691 | 0.38% | 5 | Lost |
| 2013 | MOTI NAGARDelhi | AE | BASMM | 102 | 0.10% | 10 | Lost |
| 2012 | TILHARUttar Pradesh | AE | JAKP | 619 | 0.32% | 10 | Lost |
| 2012 | MALIHABADUttar Pradesh | AE | INC | 5,427 | 2.69% | 4 | Lost |
| 2007 | GAURIGANJUttar Pradesh | AE | IND | 624 | 0.54% | 10 | Lost |
| 2002 | NAINITALUttarakhand | AE | IND | 576 | 1.42% | 7 | Lost |
| 2002 | KAPKOTUttarakhand | AE | IND | 536 | 1.75% | 6 | Lost |
| 2002 | HALDWANIUttarakhand | AE | LJNSP | 147 | 0.24% | 11 | Lost |
| 2002 | BHONGAONUttar Pradesh | AE | IND | 105 | 0.08% | 16 | Lost |
| 1999 | GHATAMPURUttar Pradesh | LS | AD | 57,799 | 10.36% | 4 | Lost |
| 1998 | SHALIMAR BAGHDelhi | AE | BSP | 305 | 0.54% | 5 | Lost |
| 1996 | BHONGARAUttar Pradesh | AE | IND | 124 | 0.09% | 8 | Lost |
| 1996 | JHANSIUttar Pradesh | LS | IND | 1,639 | 0.24% | 19 | Lost |
| 1996 | MOHANLALGANJUttar Pradesh | LS | BSP | 1,25,849 | 27.09% | 3 | Lost |
| 1991 | MALIHABADUttar Pradesh | AE | JD | 4,240 | 6.57% | 5 | Lost |
| 1990 | PHALASIARajasthan | AE | JD | 934 | 1.90% | 6 | Lost |
| 1989 | MANDSAURMadhya Pradesh | LS | BSP | 4,990 | 0.78% | 5 | Lost |
| 1989 | MALIHABADUttar Pradesh | AE | JD | 20,514 | 30.74% | 1 | Elected |
| 1985 | PITHORAGARHUttar Pradesh | AE | BJP | 1,062 | 2.54% | 5 | Lost |
| 1984 | JODHPURRajasthan | LS | IND | 217 | 0.05% | 17 | Lost |
| 1980 | JAUNPURUttar Pradesh | LS | IND | 3,268 | 0.88% | 9 | Lost |
| 1977 | RATANGARHRajasthan | AE | JNP | 26,061 | 63.42% | 1 | Elected |
| 1962 | REWAMadhya Pradesh | AE | SOC | 10,375 | 38.41% | 2 | Lost |
| 1962 | LUDHIANA CITYPunjab | AE | IND | 5,155 | 13.13% | 3 | 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.
