Surinder Singh
58 candidacies between 1969 and 2024, 6 won, across 41 constituencies.
Every contest
| Year | Constituency | House | Party | Votes | Share | Position | Result |
|---|---|---|---|---|---|---|---|
| 2024 | TRALJammu and Kashmir | AE | INC | 10,250 | 23.63% | 2 | Lost |
| 2024 | HIRANAGARJammu and Kashmir | AE | IND | 189 | 0.28% | 6 | Lost |
| 2024 | JAMMUJammu and Kashmir | LS | IND | 2,226 | 0.17% | 13 | Lost |
| 2024 | GURDASPURPunjab | LS | IND | 1,782 | 0.17% | 12 | Lost |
| 2022 | NAWAN SHAHRPunjab | AE | NATIONALIS… | 1,075 | 0.87% | 8 | Lost |
| 2022 | SANOURPunjab | AE | IND | 213 | 0.13% | 14 | Lost |
| 2022 | JALALABADPunjab | AE | IND | 1,860 | 1.08% | 5 | Lost |
| 2019 | ANANTNAGJammu and Kashmir | LS | PSPL | 217 | 0.17% | 18 | Lost |
| 2017 | RAIKOTPunjab | AE | BSP | 878 | 0.74% | 4 | Lost |
| 2017 | JALALABADPunjab | AE | CPI | 1,743 | 1.03% | 4 | Lost |
| 2017 | CHABBEWALPunjab | AE | IVD | 542 | 0.47% | 8 | Lost |
| 2017 | NAWAN SHAHRPunjab | AE | IND | 831 | 0.65% | 7 | Lost |
| 2014 | KAITHALHaryana | AE | BJP | 38,171 | 25.16% | 3 | Lost |
| 2014 | AMRITSARPunjab | LS | DCP | 833 | 0.08% | 21 | Lost |
| 2012 | FAZILKAPunjab | AE | CPI | 1,450 | 1.15% | 6 | Lost |
| 2012 | DAKHAPunjab | AE | BSP | 1,258 | 0.91% | 4 | Lost |
| 2012 | AMRITSAR SOUTHPunjab | AE | DCP | 216 | 0.24% | 8 | Lost |
| 2009 | AMRITSARPunjab | LS | DCP | 2,497 | 0.31% | 7 | Lost |
| 2008 | UDHAMPURJammu and Kashmir | AE | JSMP | 241 | 0.34% | 13 | Lost |
| 2008 | TRALJammu and Kashmir | AE | INC | 3,158 | 8.65% | 4 | Lost |
| 2008 | KATHUAJammu and Kashmir | AE | JKPDP | 403 | 0.54% | 14 | Lost |
| 2007 | ADAMPURPunjab | AE | IND | 229 | 0.24% | 7 | Lost |
| 2007 | BATALAPunjab | AE | IND | 205 | 0.20% | 9 | Lost |
| 2007 | VERKAPunjab | AE | CPM | 2,503 | 1.96% | 4 | Lost |
| 2005 | KALKAHaryana | AE | ES | 247 | 0.16% | 8 | Lost |
| 2004 | UDHAMPURJammu and Kashmir | LS | SP | 1,222 | 0.20% | 19 | Lost |
| 2003 | PACHHADHimachal Pradesh | AE | IND | 1,890 | 4.30% | 3 | Lost |
| 2002 | TRALJammu and Kashmir | AE | INC | 2,944 | 42.80% | 2 | Lost |
| 2002 | ADAMPURPunjab | AE | IND | 240 | 0.29% | 10 | Lost |
| 2002 | VERKAPunjab | AE | SADM | 504 | 0.54% | 8 | Lost |
| 1997 | DHURIPunjab | AE | SAD | 25,297 | 27.28% | 2 | Lost |
| 1997 | BATALAPunjab | AE | IND | 115 | 0.13% | 9 | Lost |
| 1997 | GARHSHANKARPunjab | AE | IND | 12,608 | 16.46% | 4 | Lost |
| 1996 | INDRIHaryana | AE | IND | 8,994 | 9.29% | 6 | Lost |
| 1993 | DHARAMSALAHimachal Pradesh | AE | IND | 30 | 0.09% | 8 | Lost |
| 1993 | RAJINDER NAGARDelhi | AE | LKD | 101 | 0.20% | 5 | Lost |
| 1992 | JALALABADPunjab | AE | BJP | 11,544 | 15.70% | 4 | Lost |
| 1992 | DHURIPunjab | AE | SAD | 1,691 | 14.30% | 4 | Lost |
| 1991 | SIRSAHaryana | AE | IND | 1,843 | 2.25% | 5 | Lost |
| 1991 | KAITHALHaryana | AE | IND | 6,096 | 9.19% | 5 | Lost |
| 1991 | AMRITSARPunjab | LS | IND | 2,749 | 1.16% | 4 | Lost |
| 1990 | BANIKHETHimachal Pradesh | AE | DDP | 120 | 0.39% | 5 | Lost |
| 1987 | SOHNAHaryana | AE | ICJBG | 230 | 0.32% | 10 | Lost |
| 1985 | BAMSANHimachal Pradesh | AE | IND | 71 | 0.31% | 5 | Lost |
| 1985 | ATTARIPunjab | AE | IND | 279 | 0.68% | 7 | Lost |
| 1985 | PATTIPunjab | AE | INC | 28,547 | 45.04% | 2 | Lost |
| 1985 | DHURIPunjab | AE | SAD | 36,685 | 52.21% | 1 | Elected |
| 1985 | JALALABADPunjab | AE | IND | 7,908 | 12.22% | 3 | Lost |
| 1985 | BHATTIYATHimachal Pradesh | AE | IND | 33 | 0.15% | 4 | Lost |
| 1982 | KASUMPTIHimachal Pradesh | AE | JNP | 132 | 0.59% | 4 | Lost |
| 1980 | MORINDAPunjab | AE | IND | 129 | 0.23% | 6 | Lost |
| 1980 | BHATINDAPunjab | AE | INC(I) | 29,943 | 49.51% | 1 | Elected |
| 1977 | NAUSHAHRA PANWANPunjab | AE | IND | 21,584 | 45.21% | 2 | Lost |
| 1977 | SHAHABADHaryana | AE | JNP | 20,327 | 51.12% | 1 | Elected |
| 1972 | GULMARGJammu and Kashmir | AE | INC | 8,987 | 50.91% | 1 | Elected |
| 1972 | PATTIPunjab | AE | INC | 31,920 | 64.33% | 1 | Elected |
| 1972 | ARYA PURADelhi | AE | IND | 95 | 0.46% | 6 | Lost |
| 1969 | PATTIPunjab | AE | SAD | 24,334 | 45.57% | 1 | Elected |
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.
