CHARANJIT SINGH
27 candidacies between 1969 and 2022, 7 won, across 21 constituencies.
Every contest
| Year | Constituency | House | Party | Votes | Share | Position | Result |
|---|---|---|---|---|---|---|---|
| 2022 | CHAMKAUR SAHIBPunjab | AE | AAAP | 70,248 | 47.60% | 1 | Elected |
| 2022 | LAMBIPunjab | AE | IND | 278 | 0.20% | 8 | Lost |
| 2017 | CHAMKAUR SAHIBPunjab | AE | AAAP | 48,752 | 33.53% | 2 | Lost |
| 2017 | DASUYAPunjab | AE | DPIN | 251 | 0.19% | 11 | Lost |
| 2014 | KATHUAJammu and Kashmir | AE | IND | 13,242 | 14.52% | 3 | Lost |
| 2012 | GURU HAR SAHAIPunjab | AE | CPI | 2,846 | 2.24% | 3 | Lost |
| 2008 | KATHUAJammu and Kashmir | AE | IND | 19,123 | 25.82% | 1 | Elected |
| 2007 | PATIALA TOWNPunjab | AE | IND | 50 | 0.05% | 16 | Lost |
| 2005 | KALKAHaryana | AE | IND | 269 | 0.17% | 7 | Lost |
| 2002 | GANDHINAGARJammu and Kashmir | AE | BJP | 3,700 | 4.98% | 3 | Lost |
| 1997 | DAKALAPunjab | AE | IND | 14,635 | 14.12% | 3 | Lost |
| 1997 | NAWAN SHAHRPunjab | AE | IND | 35,933 | 34.84% | 1 | Elected |
| 1997 | KUM KALANPunjab | AE | SAD | 45,616 | 50.25% | 1 | Elected |
| 1991 | JULLUNDURPunjab | LS | IND | 688 | 0.24% | 10 | Lost |
| 1989 | EAST DELHIDelhi | LS | IND | 4,911 | 0.68% | 7 | Lost |
| 1989 | PHILLAURPunjab | LS | SADB | 1,65,468 | 27.89% | 2 | Lost |
| 1987 | JUNDLAHaryana | AE | IND | 170 | 0.29% | 8 | Lost |
| 1984 | PATIALAPunjab | LS | SAD | 2,54,302 | 45.03% | 1 | Elected |
| 1984 | ROPARPunjab | LS | SAD | 3,36,503 | 53.98% | 1 | Elected |
| 1980 | CHAMKAUR SAHIBPunjab | AE | IND | 131 | 0.30% | 7 | Lost |
| 1980 | JULLUNDURPunjab | LS | IND | 4,791 | 1.13% | 5 | Lost |
| 1980 | PHILLAURPunjab | LS | IND | 3,235 | 0.69% | 7 | Lost |
| 1977 | DAKHAPunjab | AE | SAD | 31,908 | 60.54% | 1 | Elected |
| 1977 | LOHIANPunjab | AE | IND | 21,534 | 38.98% | 2 | Lost |
| 1977 | PHILLAURPunjab | LS | IND | 4,034 | 0.89% | 6 | Lost |
| 1977 | SOUTH DELHIDelhi | LS | INC | 76,390 | 28.99% | 2 | Lost |
| 1969 | LUDHIANA SOUTHPunjab | AE | IND | 4,832 | 11.16% | 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.
