Moradabad #6
Candidatures70every name on every ballot
Distinct candidates69as the source spells them
Parties30distinct, as published
Years contested52004 to 2024
Largest field18in 2014 and 2009
Every candidature
| Year | Pos | Candidate | Party | Votes | Vote % |
|---|---|---|---|---|---|
| 2024 | 1 | Ruchi ViraWON | SP | 6,37,363 | 49.70% |
| 2024 | 2 | Kunwar Sarvesh Kumar | BJP | 5,31,601 | 41.40% |
| 2024 | 3 | Mo Irfan | BSP | 92,313 | 7.20% |
| 2024 | 4 | Ajay Yadav | AHP | 4,094 | 0.30% |
| 2024 | 5 | Musharrat Husain | IND | 2,583 | 0.20% |
| 2024 | 6 | Sadhna Singh | IND | 2,296 | 0.20% |
| 2024 | 7 | Mohd Jamshed | IND | 1,719 | 0.10% |
| 2024 | 8 | Onkar Singh | BBSP | 1,459 | 0.10% |
| 2024 | 9 | Shakil Ahmed | SP | 1,356 | 0.10% |
| 2024 | 10 | Amarjeet Singh Jatav | IND | 952 | 0.10% |
| 2024 | 11 | Har Kishore Singh | SUCIC | 940 | 0.10% |
| 2024 | 12 | Gangaram Sharma | RCJP | 685 | 0.10% |
| 2019 | 1 | Dr. S.T. HasanWON | SP | 6,49,416 | 50.60% |
| 2019 | 2 | Kunwar Sarvesh Kumar | BJP | 5,51,538 | 43.00% |
| 2019 | 3 | Imran Pratapgarhi | INC | 59,198 | 4.60% |
| 2019 | 4 | Mohd. Aslam Urf Pasha | JSD | 4,594 | 0.40% |
| 2019 | 5 | Musarrat Husain | IND | 2,417 | 0.20% |
| 2019 | 6 | Prince Kumar Sharma | IND | 2,273 | 0.20% |
| 2019 | 7 | Dileram | BHP | 1,886 | 0.10% |
| 2019 | 8 | Nadir Ali Mansoori | PP | 1,051 | 0.10% |
| 2019 | 9 | Roopchand Singh | BBSP | 948 | 0.10% |
| 2019 | 10 | Naresh Kumar Saini | IND | 912 | 0.10% |
| 2019 | 11 | Akeel | IND | 890 | 0.10% |
| 2019 | 12 | Tej Singh Seny | RSD | 762 | 0.10% |
| 2019 | 13 | Bhishm Jit Singh | FJP | 564 | 0.00% |
| 2014 | 1 | Kunwer Sarvesh KumarWON | BJP | 4,85,224 | 43.00% |
| 2014 | 2 | Dr S T Hasan | SP | 3,97,720 | 35.30% |
| 2014 | 3 | Haji Mohd Yaqoob | BSP | 1,60,945 | 14.30% |
| 2014 | 4 | Engineer Mohammad Irfan | PP | 25,840 | 2.30% |
| 2014 | 5 | Begum Noor Bano Urf Mehtab | INC | 19,732 | 1.70% |
| 2014 | 6 | Saurabh Pratap Singh | AITC | 5,647 | 0.50% |
| 2014 | 7 | Vimal Kumar | AAP | 4,469 | 0.40% |
| 2014 | 8 | Hariom | NDP | 4,097 | 0.40% |
| 2014 | 9 | Nafisuddin | CPIM | 3,180 | 0.30% |
| 2014 | 10 | Amit Kumar | BMP | 3,047 | 0.30% |
| 2014 | 11 | Sandeep Kumar | SSKP | 2,971 | 0.30% |
| 2014 | 12 | Satish Chandra Sharma | NP | 2,267 | 0.20% |
| 2014 | 13 | Teaj Singh Saini | RSD | 1,710 | 0.20% |
| 2014 | 14 | Jaipal Singh Saini | SS | 1,334 | 0.10% |
| 2014 | 15 | Roopa Chandra Singh | IND | 1,282 | 0.10% |
| 2014 | 16 | Raj Kumar Gupta | IND | 1,278 | 0.10% |
| 2014 | 17 | Kamar Alam | IBSP | 1,059 | 0.10% |
| 2014 | 18 | Mohd Zafar Iqbal | ABMLS | 956 | 0.10% |
| 2009 | 1 | Mohammed AzharuddinWON | INC | 3,01,283 | 39.60% |
| 2009 | 2 | Kunwar Sarvesh Kumar Alias Rakesh | BJP | 2,52,176 | 33.10% |
| 2009 | 3 | Rajiv Channa | BSP | 1,47,594 | 19.40% |
| 2009 | 4 | Mohammad Rizwan | SP | 27,982 | 3.70% |
| 2009 | 5 | Hariom Balmiki | IND | 5,675 | 0.70% |
| 2009 | 6 | Sagir Husain | IND | 5,121 | 0.70% |
| 2009 | 7 | Farid Jabbar | IND | 2,759 | 0.40% |
| 2009 | 8 | Rishi Pal | ABHM | 2,635 | 0.30% |
| 2009 | 9 | Shakeel Ahmed | NLP | 2,447 | 0.30% |
| 2009 | 10 | Muhammed Zafar Iqbal | IND | 2,301 | 0.30% |
| 2009 | 11 | Rinki Saini | IND | 2,185 | 0.30% |
| 2009 | 12 | Mohammad Yunus | IND | 2,052 | 0.30% |
| 2009 | 13 | Sanjay Kumar Urf Sanjay Kumar Goswami | IND | 1,929 | 0.30% |
| 2009 | 14 | Har Swaroop Sharma | RSD | 1,536 | 0.20% |
| 2009 | 15 | Tota Ram | IND | 961 | 0.10% |
| 2009 | 16 | Patram | IND | 899 | 0.10% |
| 2009 | 17 | Jahid | IND | 722 | 0.10% |
| 2009 | 18 | Nathu Singh | IND | 687 | 0.10% |
| 2004 | 1 | Saleem Iqbal ShervaniWON | SP | 2,65,713 | 45.00% |
| 2004 | 2 | Brijpal Singh Shakya | BJP | 2,14,391 | 36.30% |
| 2004 | 3 | Prem Pal Singh Yadav | BSP | 75,886 | 12.90% |
| 2004 | 4 | Mahboob Husain Ansari | INC | 20,359 | 3.50% |
| 2004 | 5 | Rao Govind Singh Yadav | IND | 4,532 | 0.80% |
| 2004 | 6 | Anoop Saxena | JP | 2,929 | 0.50% |
| 2004 | 7 | Rajendra Singh Pal | LPS | 2,481 | 0.40% |
| 2004 | 8 | Hulasi | ASP | 2,146 | 0.40% |
| 2004 | 9 | Riyasat Khan | SP | 1,572 | 0.30% |
Rows are ordered by year, most recent first, then by finishing position as published. Winner rows are tinted; NOTA rows are set apart because NOTA is not a party and is never a candidate.