Riding Results for Alternative Vote-2019 (2019 Data)
Description
This page shows the riding-by-riding result of simulating the election using the given model. In most models (STV, most versions of MMP, RUP) existing ridings have been combined in various ways to make the new ridings. These are listed in the "Composed from" column.
In other models (FPTP, AV) the existing ridings are used without modification.
Single Member Elections: AV-2021; candidates sorted from the last selected/eliminated to the first.
Multi Member Elections: NA; candidates sorted from most to fewest raw votes.
Disclaimer
This data absolutely should not be used to make predictions about who will or will not win an actual election using this electoral system.
It's useful for understanding how votes transfer (or not, depending on the system) but it is not useful for making detailed preditions. There are too many variables at play, particularly in how ridings have been combined. In some models that has resulted in candidates being split between ridings, giving those candidates no chance of winning. That wouldn't occur in a real election, of course.
AB BC MB NB NL NS NT NU ON PE QC SK YT
Alberta
Region: R_AB
Riding ID | Composed from | Candidate | Party | Votes | Eff Votes | |
---|---|---|---|---|---|---|
fptp.48001 |
This data can not be used to predict outcomes for individual candidates. | 1-Midgley, Gwyneth | Lib | 8,425 | 10,400.6 | |
1-Wilson, Anne | NDP | 8,185 | 11,148.3 | |||
1-Mullins, Austin | Grn | 3,315 | 4,961.3 | |||
1-Wellwood, Nadine | PPC | 2,651 | 4,626.6 | |||
1-Richards, Blake | Con | 55,504 | 39,041.0 | ✔ | ||
fptp.48002 |
This data can not be used to predict outcomes for individual candidates. | 1-Fryzuk, Natasha | NDP | 3,185 | 7,168.0 | |
1-Clarke, Dianne | Lib | 2,557 | 5,212.4 | |||
1-Nelson, Geordie | Grn | 1,689 | 3,901.8 | |||
1-Michaud, David A. | PPC | 1,620 | 4,275.4 | |||
1-Kurek, Damien C. | Con | 53,309 | 31,181.0 | ✔ | ||
fptp.48003 |
This data can not be used to predict outcomes for individual candidates. | 1-Rhemtulla, Margaret | Lib | 3,173 | 5,418.1 | |
1-Macwilliam, Lynn | NDP | 3,086 | 6,453.6 | |||
1-Ikert, Tom | PPC | 1,321 | 3,566.1 | |||
1-Tuithof de Jonge, Hendrika Maria | Grn | 826 | 2,696.9 | |||
1-Lipp, Tom | CHP | 453 | 453.0 | |||
1-Shields, Martin | Con | 46,279 | 27,570.0 | ✔ | ||
fptp.48004 |
This data can not be used to predict outcomes for individual candidates. | 1-Hehr, Kent | Lib | 17,771 | 18,295.8 | |
1-Buresi, Jessica | NDP | 6,516 | 7,303.1 | |||
1-Boonlert, Thana | Grn | 2,853 | 3,290.3 | |||
1-Johnston, Chevy | PPC | 907 | 1,431.8 | |||
1-Gould, Eden | Oth | 247 | 247.0 | |||
1-Pewtress, Michael | Ind | 138 | 138.0 | |||
1-Pawlowski, Dawid | CHP | 126 | 126.0 | |||
1-McLean, Greg | Con | 37,306 | 32,933.0 | ✔ | ||
fptp.48005 |
This data can not be used to predict outcomes for individual candidates. | 1-Stein, Jordan | Lib | 14,908 | 15,311.8 | |
1-Sidhu, Gurcharan Singh | NDP | 7,312 | 7,917.7 | |||
1-Odd, Natalie | Grn | 5,700 | 6,036.5 | |||
1-Korol, Colin | PPC | 1,136 | 1,539.8 | |||
1-Moen, Tim | Lbt | 407 | 407.0 | |||
1-Hunter, Kevan | M-L | 117 | 117.0 | |||
1-Webber, Len | Con | 36,312 | 32,947.0 | ✔ | ||
fptp.48006 |
This data can not be used to predict outcomes for individual candidates. | 1-Anand, Jag | Lib | 8,690 | 9,148.6 | |
1-Pimlott, Joe | NDP | 4,227 | 4,915.0 | |||
1-Carnegie, William | Grn | 1,318 | 1,700.2 | |||
1-Levesque, Dave | PPC | 1,089 | 1,547.6 | |||
1-Nichols, Brent | Ind | 388 | 388.0 | |||
1-Sutherland, Esther | CHP | 222 | 222.0 | |||
1-Trautman, Jonathan | Com | 134 | 134.0 | |||
1-Ryder, William James | Oth | 91 | 91.0 | |||
1-Hallan, Jasraj Singh | Con | 23,805 | 19,983.0 | ✔ | ||
fptp.48007 |
This data can not be used to predict outcomes for individual candidates. | 1-Forsyth, Scott | Lib | 8,057 | 9,492.0 | |
1-Heffernan, Holly | NDP | 5,278 | 7,430.5 | |||
1-Tulick, Allie | Grn | 2,027 | 3,222.9 | |||
1-Hoeppner, Stephanie | PPC | 1,123 | 2,558.0 | |||
1-Mills, Hunter | Ind | 228 | 228.0 | |||
1-Heather, Larry R. | CHP | 185 | 185.0 | |||
1-Benzen, Bob | Con | 40,817 | 28,858.5 | ✔ | ||
fptp.48008 |
This data can not be used to predict outcomes for individual candidates. | 1-Aalto, Brian | Lib | 7,507 | 9,488.7 | |
1-Bhachu, Gurmit | NDP | 6,445 | 9,417.5 | |||
1-Stasila, Taylor | Grn | 1,992 | 3,643.4 | |||
1-Gao, Edward | PPC | 1,585 | 3,566.7 | |||
1-Kusie, Stephanie | Con | 50,559 | 34,045.0 | ✔ | ||
fptp.48009 |
This data can not be used to predict outcomes for individual candidates. | 1-Tsang, Josephine | Lib | 8,703 | 10,014.9 | |
1-King, Patrick | NDP | 5,304 | 7,271.9 | |||
1-Grossé, Jocelyn | Grn | 1,554 | 2,647.3 | |||
1-Lorencz, Kelly | PPC | 1,089 | 2,400.9 | |||
1-Askin, Peggy | M-L | 71 | 71.0 | |||
1-Rempel Garner, Michelle | Con | 38,588 | 27,655.5 | ✔ | ||
fptp.48010 |
This data can not be used to predict outcomes for individual candidates. | 1-Kathol, Todd | Lib | 13,012 | 14,563.2 | |
1-LeBlanc Fortin, Nathan | NDP | 6,051 | 8,377.9 | |||
1-Wright, Catriona | Grn | 2,011 | 3,303.7 | |||
1-Poulin, Tyler | PPC | 1,053 | 2,604.2 | |||
1-Wang, Shaoli | Ind | 270 | 270.0 | |||
1-Kelly, Pat | Con | 48,253 | 35,326.0 | ✔ | ||
fptp.48011 |
This data can not be used to predict outcomes for individual candidates. | 1-Arnold, Del | Lib | 8,644 | 10,989.2 | |
1-Smith, David Brian | NDP | 6,828 | 10,345.7 | |||
1-Tanaka, Evelyn | Grn | 2,345 | 4,299.3 | |||
1-Scott, Kyle | PPC | 1,709 | 4,054.2 | |||
1-Kmiec, Tom | Con | 58,614 | 39,071.0 | ✔ | ||
fptp.48012 |
This data can not be used to predict outcomes for individual candidates. | 1-Alatrash, Ghada | Lib | 9,722 | 11,243.7 | |
1-Ahmed, Khalis | NDP | 5,355 | 7,637.6 | |||
1-Reid, Marco | Grn | 2,139 | 3,407.1 | |||
1-Squire, Gord | PPC | 1,130 | 2,651.7 | |||
1-Bassett, Christina | Oth | 511 | 511.0 | |||
1-Dirk, Garry | CHP | 200 | 200.0 | |||
1-Liepert, Ron | Con | 44,421 | 31,740.0 | ✔ | ||
fptp.48013 |
This data can not be used to predict outcomes for individual candidates. | 1-Naidoo, Nirmala | Lib | 14,327 | 14,477.7 | |
1-Gill, Gurinder Singh | NDP | 7,540 | 7,766.1 | |||
1-Knutson, Signe | Grn | 800 | 925.6 | |||
1-Dhillon, Harry | PPC | 603 | 753.7 | |||
1-Alexander, Joseph | CHP | 483 | 483.0 | |||
1-Dawar, Harpreet Singh | Oth | 136 | 136.0 | |||
1-Blanchard, Daniel | M-L | 130 | 130.0 | |||
1-Sahota, Jag | Con | 26,533 | 25,277.0 | ✔ | ||
fptp.48014 |
This data can not be used to predict outcomes for individual candidates. | 1-Cumming, James | Con | 22,006 | 26,547.0 | ✔ |
1-Boissonnault, Randy | Lib | 17,524 | 22,140.7 | |||
1-Swampy, Katherine | NDP | 10,959 | 11,265.7 | |||
1-Murray, Grad | Grn | 1,394 | 1,394.0 | |||
1-Hookham, Paul | PPC | 805 | 805.0 | |||
1-Eckstrom, Donovan | Oth | 206 | 206.0 | |||
1-Pirbhai, Adil | Ind | 119 | 119.0 | |||
1-Morton, Peggy | M-L | 79 | 79.0 | |||
fptp.48015 |
This data can not be used to predict outcomes for individual candidates. | 1-Cherrington, Mark | NDP | 11,800 | 11,914.8 | |
1-Mohamud, Habiba | Lib | 8,100 | 8,176.5 | |||
1-Khan, Safi | Grn | 1,189 | 1,252.8 | |||
1-Nichols, Barbara Ellen | PPC | 1,074 | 1,150.5 | |||
1-Gudanowski, Andrzej | Ind | 216 | 216.0 | |||
1-Alva Armas, Christine | CHP | 203 | 203.0 | |||
1-Boykowich, Alex | Com | 170 | 170.0 | |||
1-Joyce, Mary | M-L | 91 | 91.0 | |||
1-Diotte, Kerry | Con | 24,120 | 23,482.5 | ✔ | ||
fptp.48016 |
This data can not be used to predict outcomes for individual candidates. | 1-Kadri, Kamal | Lib | 11,692 | 12,080.1 | |
1-St. Germain, Charmaine | NDP | 9,555 | 10,137.1 | |||
1-Shaw, Laura-Leah | Grn | 1,255 | 1,578.4 | |||
1-Summers, Daniel | PPC | 1,109 | 1,497.1 | |||
1-Phiri, Pam | CHP | 276 | 276.0 | |||
1-Vachon, Andre | M-L | 68 | 68.0 | |||
1-Aboultaif, Ziad | Con | 30,425 | 27,191.0 | ✔ | ||
fptp.48017 |
This data can not be used to predict outcomes for individual candidates. | 1-Sohi, Amarjeet | Lib | 17,879 | 17,896.6 | |
1-Logan, Nigel | NDP | 6,422 | 6,448.4 | |||
1-Herbert, Tanya | Grn | 968 | 982.7 | |||
1-Young, Annie | PPC | 953 | 970.6 | |||
1-Melanson, Don | CHP | 219 | 219.0 | |||
1-Uppal, Tim | Con | 26,736 | 26,589.5 | ✔ | ||
fptp.48018 |
This data can not be used to predict outcomes for individual candidates. | 1-Chaudary, Tariq | Lib | 14,038 | 14,584.1 | |
1-Redman, Audrey | NDP | 9,332 | 10,151.2 | |||
1-Kennedy, Valerie | Grn | 1,797 | 2,252.1 | |||
1-Morris, Kevin | PPC | 855 | 1,401.1 | |||
1-Jeneroux, Matt | Con | 35,126 | 30,575.0 | ✔ | ||
fptp.48019 |
This data can not be used to predict outcomes for individual candidates. | 1-Lilly, Sam | Con | 21,035 | 22,779.8 | |
1-McPherson, Heather | NDP | 26,823 | 28,373.5 | ✔ | ||
1-Olszewski, Eleanor | Lib | 6,592 | 6,776.3 | |||
1-Kalmanovitch, Michael | Grn | 1,152 | 1,152.0 | |||
1-Cameron, Ian | PPC | 941 | 941.0 | |||
1-Rankin, Naomi | Com | 125 | 125.0 | |||
1-MacDonald, Dougal | M-L | 77 | 77.0 | |||
fptp.48020 |
This data can not be used to predict outcomes for individual candidates. | 1-Johnston, Kerrie | Lib | 11,812 | 12,580.1 | |
1-Steuber, Patrick | NDP | 8,537 | 9,689.1 | |||
1-Pearce, Jackie | Grn | 1,441 | 2,081.1 | |||
1-Armstrong, Matthew | PPC | 1,126 | 1,894.1 | |||
1-McCauley, Kelly | Con | 35,719 | 29,318.5 | ✔ | ||
fptp.48021 |
This data can not be used to predict outcomes for individual candidates. | 1-Wong, Richard | Lib | 10,802 | 13,156.1 | |
1-Garver, Noah | NDP | 9,820 | 13,351.2 | |||
1-Drzymala, Emily | Grn | 1,660 | 3,621.8 | |||
1-Doell, Neil | PPC | 1,616 | 3,970.1 | |||
1-Calliou, Travis | Oth | 211 | 211.0 | |||
1-Lake, Mike | Con | 63,346 | 43,728.5 | ✔ | ||
fptp.48022 |
This data can not be used to predict outcomes for individual candidates. | 1-Moller, Cheryl | Lib | 3,856 | 6,385.1 | |
1-Hendi, Mickail | NDP | 3,767 | 7,560.6 | |||
1-Lacey, Bridget | Grn | 2,398 | 4,505.6 | |||
1-Hession, Greg | PPC | 1,698 | 4,227.1 | |||
1-Barlow, John | Con | 53,872 | 32,796.5 | ✔ | ||
fptp.48023 |
This data can not be used to predict outcomes for individual candidates. | 1-Farrington, Maggie | Lib | 4,848 | 6,674.0 | |
1-Gilks, Matthew | NDP | 2,883 | 5,622.1 | |||
1-Barrett, Matthew | PPC | 1,674 | 3,500.0 | |||
1-Deheer, Brian | Grn | 865 | 2,386.7 | |||
1-Yurdiga, David | Con | 40,706 | 25,489.0 | ✔ | ||
fptp.48024 |
This data can not be used to predict outcomes for individual candidates. | 1-Alyward, Erin | NDP | 4,245 | 7,972.4 | |
1-Munro, Kenneth | Lib | 2,910 | 5,394.9 | |||
1-Burchill, Douglas Gordon | PPC | 1,492 | 3,976.9 | |||
1-Termuende, Shelley | Grn | 1,134 | 3,204.8 | |||
1-Warkentin, Chris | Con | 51,198 | 30,490.5 | ✔ | ||
fptp.48025 |
This data can not be used to predict outcomes for individual candidates. | 1-Swanson, Jeffrey | NDP | 3,728 | 7,242.3 | |
1-Watson, Mark | Lib | 2,565 | 4,907.9 | |||
1-Houle, Alain | PPC | 1,468 | 3,810.9 | |||
1-Brunner, Kira | Grn | 1,105 | 3,057.4 | |||
1-McFadzean, Robert | Lbt | 251 | 251.0 | |||
1-Graham, Roberta Marie | Oth | 147 | 147.0 | |||
1-Stubbs, Shannon | Con | 48,314 | 28,790.0 | ✔ | ||
fptp.48026 |
This data can not be used to predict outcomes for individual candidates. | 1-Bleiken, Shandi | NDP | 9,110 | 10,868.8 | |
1-Bronson, Amy | Lib | 8,443 | 9,615.5 | |||
1-Watson, Stephnie | Grn | 1,939 | 2,916.1 | |||
1-Hepworth, Grant | PPC | 1,007 | 2,179.5 | |||
1-Slingerland, Marc | CHP | 670 | 670.0 | |||
1-Harder, Rachael | Con | 40,713 | 30,942.0 | ✔ | ||
fptp.48027 |
This data can not be used to predict outcomes for individual candidates. | 1-Thomson, Elizabeth | NDP | 4,639 | 7,427.7 | |
1-Kirshenbaum, Harris | Lib | 3,528 | 5,387.2 | |||
1-Nelson, Andrew | PPC | 1,350 | 3,209.2 | |||
1-Hawthorne, Shannon | Grn | 1,203 | 2,752.3 | |||
1-Phillips, Dave | Ind | 337 | 337.0 | |||
1-Motz, Glen | Con | 42,045 | 26,552.0 | ✔ | ||
fptp.48028 |
This data can not be used to predict outcomes for individual candidates. | 1-Villebrun, Jennifer | NDP | 3,886 | 6,736.0 | |
1-Penny, Leslie | Lib | 3,148 | 5,048.0 | |||
1-Schrader, John | PPC | 1,579 | 3,479.0 | |||
1-Nygaard, Peter | Grn | 1,377 | 2,960.4 | |||
1-Viersen, Arnold | Con | 41,659 | 25,825.5 | ✔ | ||
fptp.48029 |
This data can not be used to predict outcomes for individual candidates. | 1-Garbanewski, Logan | NDP | 4,946 | 8,668.3 | |
1-Tremblay, Gary | Lib | 3,795 | 6,276.5 | |||
1-Mitchell, Paul | PPC | 2,637 | 5,118.5 | |||
1-Borlé, Conner | Grn | 2,026 | 4,094.0 | |||
1-Dreeshen, Earl | Con | 54,765 | 34,085.5 | ✔ | ||
fptp.48030 |
This data can not be used to predict outcomes for individual candidates. | 1-Pezzella, Lauren | NDP | 6,012 | 9,633.6 | |
1-Rose , Tiffany | Lib | 3,540 | 5,954.4 | |||
1-Thompson, Laura Lynn | PPC | 2,453 | 4,867.4 | |||
1-Palmer, Sarah | Grn | 1,596 | 3,608.0 | |||
1-Calkins, Blaine | Con | 53,843 | 33,723.0 | ✔ | ||
fptp.48031 |
This data can not be used to predict outcomes for individual candidates. | 1-Springate, Greg | Lib | 12,477 | 13,312.1 | |
1-Mpulubusi, Kathleen | NDP | 9,895 | 11,147.7 | |||
1-Dunbar, Rob | Grn | 1,594 | 2,290.0 | |||
1-Cecelia, Brigitte | PPC | 1,268 | 2,103.1 | |||
1-Fraser, Robert Bruce | Oth | 351 | 351.0 | |||
1-Cooper, Michael | Con | 39,506 | 32,546.5 | ✔ | ||
fptp.48032 |
This data can not be used to predict outcomes for individual candidates. | 1-Theroux, Aidan | NDP | 8,867 | 11,940.3 | |
1-Thiering, Ron | Lib | 7,357 | 9,405.9 | |||
1-Sanderson, Laura | Grn | 1,592 | 3,299.4 | |||
1-Villetard, Darren | PPC | 1,334 | 3,382.9 | |||
1-McElrea, Patrick | Oth | 300 | 300.0 | |||
1-Genuis, Garnett | Con | 53,600 | 36,526.0 | ✔ | ||
fptp.48033 |
This data can not be used to predict outcomes for individual candidates. | 1-Desforges, Guy | NDP | 6,940 | 10,343.0 | |
1-Brochu, Ronald | Lib | 4,696 | 6,964.7 | |||
1-Romyn, Cass | Grn | 1,745 | 3,635.6 | |||
1-Beauchamp, Tyler | PPC | 1,625 | 3,893.7 | |||
1-Chauvet, Ernest | CHP | 416 | 416.0 | |||
1-Lloyd, Dane | Con | 53,235 | 34,329.5 | ✔ | ||
fptp.48034 |
This data can not be used to predict outcomes for individual candidates. | 1-Bowman, Kristine | NDP | 3,898 | 7,134.2 | |
1-Hoefsloot, Jeremy | Lib | 2,912 | 5,069.5 | |||
1-Galavan, Douglas | PPC | 1,592 | 3,749.5 | |||
1-Satdeo, Angelena | Grn | 1,272 | 3,069.9 | |||
1-Lystang, Cory | Lbt | 222 | 222.0 | |||
1-Francey, Gordon | Oth | 108 | 108.0 | |||
1-Soroka, Gerald | Con | 45,964 | 27,985.0 | ✔ |
British Columbia
Region: R_BC
Riding ID | Composed from | Candidate | Party | Votes | Eff Votes | |
---|---|---|---|---|---|---|
fptp.59001 |
This data can not be used to predict outcomes for individual candidates. | 1-Heffernan, Seamus | Lib | 10,560 | 10,643.2 | |
1-Sauve, Madeleine | NDP | 8,257 | 8,381.7 | |||
1-Fowler, Stephen | Grn | 3,702 | 3,771.3 | |||
1-Duncan, Locke | PPC | 985 | 1,068.2 | |||
1-Alderking, Aeriol | CHP | 270 | 270.0 | |||
1-Fast, Edward | Con | 25,162 | 24,469.0 | ✔ | ||
fptp.59002 |
This data can not be used to predict outcomes for individual candidates. | 1-Beech, Terry | Lib | 17,770 | 25,030.5 | ✔ |
1-Robinson, Svend Johannes | NDP | 16,185 | 19,120.7 | |||
1-Leung, Heather | Con | 9,734 | 10,441.8 | |||
1-Kuttner, Amita | Grn | 4,801 | 4,801.0 | |||
1-Dong, Rocky | PPC | 1,079 | 1,079.0 | |||
1-Taylor, Robert | Ind | 271 | 271.0 | |||
1-Dahlby, Lewis Clarke | Lbt | 219 | 219.0 | |||
fptp.59003 |
This data can not be used to predict outcomes for individual candidates. | 1-Shin, Jay | Con | 13,914 | 16,205.5 | |
1-Singh, Jagmeet | NDP | 16,956 | 22,504.0 | ✔ | ||
1-Brar, Neelam | Lib | 10,706 | 11,102.3 | |||
1-Wauters, Brennan | Grn | 2,477 | 2,477.0 | |||
1-Rawdah, Al | PPC | 645 | 645.0 | |||
1-Brocki, Rex | Lbt | 246 | 246.0 | |||
1-Sproule, Brian | M-L | 62 | 62.0 | |||
fptp.59004 |
This data can not be used to predict outcomes for individual candidates. | 1-Calogheros, Tracy | Lib | 10,932 | 11,107.2 | |
1-Sapergia, Heather | NDP | 8,440 | 8,702.8 | |||
1-Kerr, Mackenzie | Grn | 4,998 | 5,144.0 | |||
1-Yang, Jing Lan | PPC | 1,206 | 1,381.2 | |||
1-Orr, Michael | Ind | 350 | 350.0 | |||
1-Doherty, Todd | Con | 28,848 | 27,388.0 | ✔ | ||
fptp.59005 |
This data can not be used to predict outcomes for individual candidates. | 1-Murphy, Mary Ann | Lib | 16,252 | 21,865.1 | |
1-Albas, Dan | Con | 31,135 | 32,468.5 | ✔ | ||
1-Phillip, Joan | NDP | 10,904 | 12,022.9 | |||
1-Mellalieu, Robert | Grn | 5,086 | 5,086.0 | |||
1-Duncan, Allan | PPC | 1,345 | 1,345.0 | |||
1-Regier, Jesse | Lbt | 213 | 213.0 | |||
fptp.59006 |
This data can not be used to predict outcomes for individual candidates. | 1-Velonis, Kelly | Lib | 10,848 | 10,886.6 | |
1-McQuillan, Heather | NDP | 8,957 | 9,014.9 | |||
1-Green, Arthur | Grn | 5,243 | 5,275.2 | |||
1-Strahl, Mark | Con | 26,672 | 26,878.5 | ✔ | ||
1-Bogunovic, Rob | PPC | 1,760 | 1,760.0 | |||
1-Lamache, Daniel | CHP | 202 | 202.0 | |||
1-O'Donnell, Dorothy-Jean | M-L | 73 | 73.0 | |||
fptp.59007 |
This data can not be used to predict outcomes for individual candidates. | 1-Aldag, John | Lib | 19,542 | 27,260.8 | ✔ |
1-Jansen, Tamara | Con | 20,936 | 22,856.0 | |||
1-Banwarie, Rae | NDP | 10,508 | 11,293.8 | |||
1-Nutbrown, Caelum | Grn | 3,572 | 3,572.0 | |||
1-Kennedy, Ian | PPC | 930 | 930.0 | |||
fptp.59008 |
This data can not be used to predict outcomes for individual candidates. | 1-McKinnon, Ron | Lib | 20,178 | 29,030.7 | ✔ |
1-Insley, Nicholas | Con | 19,788 | 22,033.1 | |||
1-Gower, Christina | NDP | 13,383 | 14,268.5 | |||
1-Nickason, Brad | Grn | 4,025 | 4,025.0 | |||
1-Spornicu, Roland | PPC | 703 | 703.0 | |||
1-Iova, Dan | Oth | 98 | 98.0 | |||
fptp.59009 |
This data can not be used to predict outcomes for individual candidates. | 1-Johns, Gord | NDP | 29,790 | 36,141.0 | ✔ |
1-Horner, Byron | Con | 23,936 | 26,237.5 | |||
1-Wood, Sean | Grn | 9,762 | 10,451.6 | |||
1-Gowans, Jonah Baden | Lib | 8,620 | 8,620.0 | |||
1-Biley, Barbara | M-L | 172 | 172.0 | |||
fptp.59010 |
This data can not be used to predict outcomes for individual candidates. | 1-MacGregor, Alistair | NDP | 23,519 | 32,615.0 | ✔ |
1-DeLong, Alana | Con | 16,959 | 20,150.4 | |||
1-Hwitsum, Lydia | Grn | 13,181 | 14,005.1 | |||
1-Herbert, Blair | Lib | 10,301 | 10,301.0 | |||
1-Chen, Rhonda | PPC | 1,066 | 1,066.0 | |||
1-Stanbridge, Robin Morton | CHP | 202 | 202.0 | |||
fptp.59011 |
This data can not be used to predict outcomes for individual candidates. | 1-Qualtrough, Carla | Lib | 22,257 | 26,989.0 | ✔ |
1-Corbet, Tanya | Con | 17,809 | 19,508.8 | |||
1-Anderson-Fennell, Randy | NDP | 8,792 | 9,537.1 | |||
1-DeCraene, Craig | Grn | 3,387 | 3,387.0 | |||
1-Ireland, Angelina | PPC | 948 | 948.0 | |||
1-Bains, Amarit | Ind | 398 | 783.0 | |||
1-Bennett, Tony | Ind | 385 | 385.0 | |||
fptp.59012 |
This data can not be used to predict outcomes for individual candidates. | 1-Hardie, Ken | Lib | 18,401 | 24,453.5 | ✔ |
1-Purewal, Shinder | Con | 16,518 | 18,361.0 | |||
1-Ohana, Annie | NDP | 10,533 | 11,052.2 | |||
1-Baertl, Tanya | Grn | 2,360 | 2,360.0 | |||
1-Poulin, Mike | PPC | 1,093 | 1,093.0 | |||
fptp.59013 |
This data can not be used to predict outcomes for individual candidates. | 1-McLeod, Cathy | Con | 32,415 | 36,227.5 | ✔ |
1-Lake, Terry | Lib | 19,716 | 25,751.4 | |||
1-Egli, Cynthia | NDP | 9,936 | 11,869.6 | |||
1-Currie, Iain | Grn | 8,789 | 8,789.0 | |||
1-Finlayson, Ken | PPC | 1,132 | 1,132.0 | |||
1-Cheeseborough, Kira | Oth | 321 | 321.0 | |||
1-Kerek, Peter | Com | 144 | 144.0 | |||
fptp.59014 |
This data can not be used to predict outcomes for individual candidates. | 1-Gray, Tracy | Con | 31,497 | 34,561.0 | ✔ |
1-Fuhr, Stephen | Lib | 22,627 | 27,166.6 | |||
1-Kulik, Justin | NDP | 8,381 | 9,518.6 | |||
1-Ashley, Travis | Grn | 5,171 | 5,171.0 | |||
1-Barr, John | PPC | 1,225 | 1,225.0 | |||
1-Joseph, Daniel | Ind | 152 | 219.0 | |||
1-Socrates, Silverado | Ind | 67 | 67.0 | |||
fptp.59015 |
This data can not be used to predict outcomes for individual candidates. | 1-Morrison, Rob | Con | 30,168 | 33,666.0 | ✔ |
1-Stetski, Wayne | NDP | 23,149 | 27,782.6 | |||
1-Goldsbury, Robin | Lib | 6,151 | 7,134.2 | |||
1-Brynne, Abra | Grn | 6,145 | 6,145.0 | |||
1-Stewart, Rick | PPC | 1,378 | 1,378.0 | |||
1-Miller, Trev | Oth | 339 | 339.0 | |||
fptp.59016 |
This data can not be used to predict outcomes for individual candidates. | 1-Jensen, Leon | Lib | 16,254 | 21,657.6 | |
1-Van Popta, Tako | Con | 29,823 | 31,727.0 | ✔ | ||
1-Wakelin, Stacey | NDP | 10,690 | 11,763.8 | |||
1-Farstad, Kaija | Grn | 4,881 | 4,881.0 | |||
1-Dipietra-Cudmore, Natalie | PPC | 1,305 | 1,305.0 | |||
1-Joehl, Alex | Lbt | 499 | 499.0 | |||
fptp.59017 |
This data can not be used to predict outcomes for individual candidates. | 1-Vis, Brad | Con | 19,535 | 23,034.0 | ✔ |
1-Sidhu, Jati | Lib | 12,299 | 16,687.4 | |||
1-Nenn, Michael | NDP | 8,089 | 9,193.2 | |||
1-Kidder, John | Grn | 5,019 | 5,019.0 | |||
1-Csaszar, Julius Nick | PPC | 1,055 | 1,055.0 | |||
1-Wismer, Elaine | M-L | 69 | 69.0 | |||
fptp.59018 |
This data can not be used to predict outcomes for individual candidates. | 1-Manly, Paul | Grn | 24,844 | 32,214.1 | ✔ |
1-Chamberlin, Bob | NDP | 16,985 | 25,171.8 | |||
1-Hirst, John | Con | 18,634 | 20,603.7 | |||
1-Corfield, Michelle | Lib | 9,735 | 9,735.0 | |||
1-Clarke, Jennifer | PPC | 1,049 | 1,049.0 | |||
1-Stoneman, Geoff | Ind | 235 | 306.0 | |||
1-Marlatt, Brian | Oth | 207 | 207.0 | |||
1-Chumsa, James | Com | 104 | 104.0 | |||
1-White, Echo | Ind | 71 | 71.0 | |||
fptp.59019 |
This data can not be used to predict outcomes for individual candidates. | 1-Davis, Will | Lib | 12,414 | 14,591.1 | |
1-Julian, Peter | NDP | 23,437 | 26,489.5 | ✔ | ||
1-Veck, Megan | Con | 11,439 | 12,047.8 | |||
1-de Montigny, Suzanne | Grn | 4,378 | 4,378.0 | |||
1-Ginn, Hansen | PPC | 862 | 862.0 | |||
1-Murarka, Neeraj | Lbt | 307 | 307.0 | |||
1-Passyar, Ahmad | Ind | 83 | 83.0 | |||
1-Theriault, Joseph | M-L | 57 | 57.0 | |||
fptp.59020 |
This data can not be used to predict outcomes for individual candidates. | 1-Derkaz, Cindy | Lib | 16,783 | 18,073.3 | |
1-Sandhu, Harwinder | NDP | 11,353 | 13,131.8 | |||
1-Arnold, Mel | Con | 36,154 | 37,073.5 | ✔ | ||
1-Reinarz, Marc | Grn | 7,828 | 7,828.0 | |||
1-Delfing, Kyle | PPC | 2,027 | 2,027.0 | |||
fptp.59021 |
This data can not be used to predict outcomes for individual candidates. | 1-Saxton, Andrew | Con | 16,908 | 19,488.0 | |
1-Wilkinson, Jonathan | Lib | 26,979 | 31,466.0 | ✔ | ||
1-Bell, Justine | NDP | 10,340 | 12,071.0 | |||
1-Orr, George | Grn | 7,868 | 7,868.0 | |||
1-Jadavji, Azmairnin | PPC | 835 | 835.0 | |||
fptp.59022 |
This data can not be used to predict outcomes for individual candidates. | 1-Ruimy, Dan | Lib | 16,125 | 24,868.5 | ✔ |
1-Dalton, Marc | Con | 19,650 | 21,875.3 | |||
1-Mogk, John | NDP | 12,958 | 13,911.0 | |||
1-Jaschke, Ariane | Grn | 4,332 | 4,332.0 | |||
1-Cherrier, Bryton | PPC | 698 | 698.0 | |||
1-Ranta, Steve | Ind | 468 | 468.0 | |||
fptp.59023 |
This data can not be used to predict outcomes for individual candidates. | 1-Zarrillo, Bonita | NDP | 16,702 | 27,002.5 | ✔ |
1-Shin, Nelly | Con | 16,855 | 20,184.6 | |||
1-Badiei, Sara | Lib | 15,695 | 16,314.7 | |||
1-Watts, Bryce | Grn | 3,873 | 3,873.0 | |||
1-Chabot, Jayson | PPC | 821 | 821.0 | |||
1-Verrier, Roland | M-L | 57 | 57.0 | |||
fptp.59024 |
This data can not be used to predict outcomes for individual candidates. | 1-Erickson, Mavis | Lib | 6,391 | 7,699.9 | |
1-Luccock, Marcia | NDP | 5,069 | 7,032.4 | |||
1-Kendall, Catharine | Grn | 3,448 | 4,538.8 | |||
1-Vaillant, Ron | PPC | 1,748 | 3,056.9 | |||
1-Zimmer, Bob | Con | 38,473 | 27,565.5 | ✔ | ||
fptp.59025 |
This data can not be used to predict outcomes for individual candidates. | 1-Kou, Steven | Lib | 11,052 | 13,912.5 | |
1-Wong, Alice | Con | 19,037 | 19,409.5 | ✔ | ||
1-Innes, Dustin | NDP | 5,617 | 6,139.7 | |||
1-Raunet, Françoise | Grn | 2,376 | 2,376.0 | |||
1-Pak, Ivan | PPC | 538 | 538.0 | |||
1-Zhang, Zhe | Ind | 197 | 197.0 | |||
fptp.59026 |
This data can not be used to predict outcomes for individual candidates. | 1-Garrison, Randall | NDP | 23,887 | 35,063.5 | ✔ |
1-Merner, David | Grn | 18,506 | 21,097.3 | |||
1-Pewarchuk, Randall | Con | 13,409 | 15,869.9 | |||
1-Hammond, Jamie | Lib | 12,554 | 12,554.0 | |||
1-Gustafson, Jeremy | PPC | 1,089 | 1,089.0 | |||
1-Steffler, Josh | Lbt | 287 | 287.0 | |||
1-Lesosky, Louis | Ind | 100 | 282.0 | |||
1-Godron, Fidelia | Ind | 99 | 140.5 | |||
1-Strandlund, Tyson | Com | 111 | 111.0 | |||
1-Ney, Philip | Ind | 83 | 83.0 | |||
fptp.59027 |
This data can not be used to predict outcomes for individual candidates. | 1-Busch, David | Con | 13,784 | 15,176.4 | |
1-Windsor, Ryan | Lib | 11,326 | 14,852.0 | |||
1-May, Elizabeth | Grn | 33,454 | 34,076.0 | ✔ | ||
1-Singh, Sabina | NDP | 8,657 | 8,657.0 | |||
1-Broda, Ron | PPC | 929 | 929.0 | |||
fptp.59028 |
This data can not be used to predict outcomes for individual candidates. | 1-Bachrach, Taylor | NDP | 16,944 | 20,693.0 | ✔ |
1-Rattée, Claire | Con | 13,756 | 15,204.4 | |||
1-Birdi, Dave | Lib | 4,793 | 5,317.8 | |||
1-Sawyer, Mike | Grn | 3,280 | 3,280.0 | |||
1-Taylor, Rod | CHP | 1,350 | 1,350.0 | |||
1-Craven, Jody | PPC | 940 | 940.0 | |||
1-Nunes, Danny | Ind | 164 | 321.0 | |||
1-Ritchie, Merv | Ind | 157 | 157.0 | |||
fptp.59029 |
This data can not be used to predict outcomes for individual candidates. | 1-Cannings, Richard | NDP | 24,809 | 34,099.0 | ✔ |
1-Konanz, Helena | Con | 24,013 | 27,102.3 | |||
1-Denesiuk, Connie | Lib | 11,705 | 12,612.5 | |||
1-Howse, Tara | Grn | 5,672 | 5,672.0 | |||
1-Taylor, Sean | PPC | 1,638 | 1,638.0 | |||
1-Hopkins, Carolina | Ind | 359 | 359.0 | |||
fptp.59030 |
This data can not be used to predict outcomes for individual candidates. | 1-Findlay, Kerry-Lynne D. | Con | 24,310 | 29,015.0 | ✔ |
1-Hogg, Gordie | Lib | 21,692 | 25,407.0 | |||
1-Crozier, Stephen | NDP | 6,716 | 7,696.8 | |||
1-Hobby, Beverly Pixie | Grn | 4,458 | 4,458.0 | |||
1-Poulin, Joel | PPC | 852 | 852.0 | |||
fptp.59031 |
This data can not be used to predict outcomes for individual candidates. | 1-Chiu, Kenny | Con | 17,478 | 20,976.5 | ✔ |
1-Peschisolido, Joe | Lib | 14,731 | 17,926.7 | |||
1-Dela Torre, Jaeden | NDP | 6,321 | 6,974.8 | |||
1-Iaci, Nicole | Grn | 2,972 | 2,972.0 | |||
1-Chan, Ping | Ind | 449 | 449.0 | |||
fptp.59032 |
This data can not be used to predict outcomes for individual candidates. | 1-Sarai, Randeep | Lib | 15,453 | 20,660.5 | ✔ |
1-Saran, Sarjit Singh | NDP | 11,353 | 13,881.8 | |||
1-Bains, Tina | Con | 10,505 | 10,922.3 | |||
1-Werring, John | Grn | 2,558 | 2,558.0 | |||
1-Dilawari, Jaswinder Singh | PPC | 709 | 709.0 | |||
1-Pielak, Kevin | CHP | 378 | 378.0 | |||
1-Breti, Jeffrey | Ind | 243 | 243.0 | |||
1-Gidora, George | Com | 120 | 120.0 | |||
fptp.59033 |
This data can not be used to predict outcomes for individual candidates. | 1-Dhaliwal, Sukh | Lib | 18,960 | 21,050.0 | ✔ |
1-Gill, Harjit Singh | NDP | 12,306 | 14,247.2 | |||
1-Singh, Harpreet | Con | 8,824 | 9,128.3 | |||
1-Khehra, Rabaab | Grn | 1,355 | 1,355.0 | |||
1-Verchère, Holly | PPC | 653 | 653.0 | |||
fptp.59034 |
This data can not be used to predict outcomes for individual candidates. | 1-Fry, Hedy | Lib | 23,599 | 27,974.0 | ✔ |
1-Ouellette, Breen | NDP | 13,280 | 16,901.1 | |||
1-Cavey, David | Con | 10,782 | 11,559.4 | |||
1-Brown, Jesse | Grn | 7,002 | 7,002.0 | |||
1-Kierans, Louise | PPC | 724 | 724.0 | |||
1-Clarke, John | Lbt | 379 | 379.0 | |||
1-Bowman, Lily | Ind | 142 | 180.0 | |||
1-Popat, Imtiaz | Ind | 38 | 38.0 | |||
fptp.59035 |
This data can not be used to predict outcomes for individual candidates. | 1-Demes, Kyle | Lib | 10,085 | 10,642.5 | |
1-Burns, Bridget | Grn | 8,062 | 8,319.3 | |||
1-Corsetti, Chris | Con | 6,724 | 6,895.5 | |||
1-Litzcke, Karin | PPC | 679 | 721.9 | |||
1-Buday, Gölök Z | Lbt | 562 | 562.0 | |||
1-Marcus, Peter | Com | 177 | 177.0 | |||
1-Jamieson, Anne | M-L | 86 | 86.0 | |||
1-Kwan, Jenny Wai Ching | NDP | 29,236 | 27,806.5 | ✔ | ||
fptp.59036 |
This data can not be used to predict outcomes for individual candidates. | 1-Noormohamed, Taleeb | Lib | 14,088 | 19,004.5 | ✔ |
1-Wilson-Raybould, Jody | Ind | 17,265 | 17,265.0 | |||
1-Segal, Zach | Con | 11,605 | 12,855.0 | |||
1-Hanson, Yvonne | NDP | 6,960 | 7,550.3 | |||
1-Boutin, Louise | Grn | 2,683 | 2,683.0 | |||
1-Chocyk, Naomi | PPC | 431 | 431.0 | |||
fptp.59037 |
This data can not be used to predict outcomes for individual candidates. | 1-Blaney, Rachel | NDP | 23,834 | 31,458.5 | ✔ |
1-Downey, Shelley | Con | 20,502 | 22,999.4 | |||
1-de Bruijn, Mark | Grn | 8,891 | 9,551.1 | |||
1-Schwarzhoff, Peter | Lib | 8,251 | 8,251.0 | |||
1-Rundle, Brian | PPC | 1,102 | 1,102.0 | |||
1-Staples, Glen | Ind | 287 | 287.0 | |||
1-Neal, Carla | M-L | 48 | 48.0 | |||
fptp.59038 |
This data can not be used to predict outcomes for individual candidates. | 1-Taggart, Tamara | Lib | 10,194 | 10,694.5 | |
1-Quan, Helen | Con | 8,804 | 9,168.4 | |||
1-Davies, Don | NDP | 21,680 | 22,082.5 | ✔ | ||
1-Taylor, Lawrence | Grn | 2,675 | 2,675.0 | |||
1-Torn, Ian | PPC | 427 | 427.0 | |||
1-Cariou, Kimball | Com | 292 | 292.0 | |||
1-Petersen, Donna | M-L | 91 | 91.0 | |||
fptp.59039 |
This data can not be used to predict outcomes for individual candidates. | 1-Dixon, Kathleen | Con | 14,082 | 16,017.7 | |
1-Murray, Joyce | Lib | 22,093 | 25,378.0 | ✔ | ||
1-Kenny, Leigh | NDP | 7,681 | 9,068.8 | |||
1-Wright, Geoff | Grn | 6,308 | 6,308.0 | |||
1-Filosof-Schipper, Sandra | PPC | 428 | 428.0 | |||
1-Erhardt, Austen | Ind | 162 | 162.0 | |||
fptp.59040 |
This data can not be used to predict outcomes for individual candidates. | 1-Sajjan, Harjit Singh | Lib | 17,808 | 21,598.0 | ✔ |
1-Young, Wai | Con | 14,388 | 15,770.2 | |||
1-McQuillan, Sean | NDP | 8,015 | 8,554.2 | |||
1-Zaichkowsky, Judy | Grn | 2,451 | 2,451.0 | |||
1-Deng, Alain | PPC | 532 | 532.0 | |||
fptp.59041 |
This data can not be used to predict outcomes for individual candidates. | 1-Collins, Laurel | NDP | 23,765 | 35,775.5 | ✔ |
1-Kooy, Racelle | Grn | 21,383 | 23,680.0 | |||
1-Macdonald, Nikki | Lib | 15,952 | 17,069.7 | |||
1-Caron, Richard | Con | 9,038 | 9,314.0 | |||
1-Culbert, Alyson | PPC | 920 | 920.0 | |||
1-Reichert, Jordan | Oth | 221 | 267.0 | |||
1-Duncan, Robert | Com | 113 | 113.0 | |||
1-Shebib, David | Ind | 111 | 111.0 | |||
1-Rosenberg, Keith | Oth | 46 | 46.0 | |||
fptp.59042 |
This data can not be used to predict outcomes for individual candidates. | 1-Weiler, Patrick | Lib | 22,673 | 31,191.1 | ✔ |
1-Loren, Gabrielle | Con | 17,359 | 20,041.5 | |||
1-Taylor, Dana | Grn | 14,579 | 16,203.9 | |||
1-Wilson, Judith | NDP | 9,027 | 9,027.0 | |||
1-Bebb, Robert Douglas | PPC | 1,010 | 1,010.0 | |||
1-Jeffrey, Gordon | Oth | 173 | 173.0 | |||
1-Grimwood, Terry | Ind | 159 | 159.0 |
Manitoba
Region: R_MB
Riding ID | Composed from | Candidate | Party | Votes | Eff Votes | |
---|---|---|---|---|---|---|
fptp.46001 |
This data can not be used to predict outcomes for individual candidates. | 1-Duguay, Ashley | NDP | 5,805 | 6,802.9 | |
1-Hayward, Terry | Lib | 4,972 | 5,637.3 | |||
1-Tiessen, Bill | Grn | 2,984 | 3,538.4 | |||
1-Lussier, Robin | PPC | 691 | 1,356.3 | |||
1-Hein, Rebecca | CHP | 280 | 280.0 | |||
1-Hamilton, Vanessa | Ind | 219 | 219.0 | |||
1-Eastcott, Robert | Ind | 107 | 107.0 | |||
1-Maguire, Larry | Con | 26,148 | 20,604.0 | ✔ | ||
fptp.46002 |
This data can not be used to predict outcomes for individual candidates. | 1-Morantz, Marty | Con | 18,815 | 23,115.0 | ✔ |
1-Eyolfson, Doug | Lib | 16,398 | 19,490.2 | |||
1-St. George, Ken | NDP | 6,556 | 7,035.2 | |||
1-Lauhn-Jensen, Kristin | Grn | 2,178 | 2,178.0 | |||
1-Fletcher, Steven John | PPC | 1,975 | 1,975.0 | |||
1-Penner, Melissa | CHP | 166 | 166.0 | |||
1-Ho, Brian | Ind | 140 | 140.0 | |||
fptp.46003 |
This data can not be used to predict outcomes for individual candidates. | 1-Klassen, Judy | Lib | 5,616 | 5,645.1 | |
1-Bird, Cyara | Con | 4,714 | 4,722.9 | |||
1-McLean, Ralph | Grn | 1,144 | 1,157.4 | |||
1-Klyne, Ken | PPC | 294 | 296.2 | |||
1-Ashton, Niki | NDP | 11,919 | 11,844.5 | ✔ | ||
fptp.46004 |
This data can not be used to predict outcomes for individual candidates. | 1-Lewycky, Laverne | NDP | 5,724 | 6,771.4 | |
1-Scofield-Singh, Cathy | Lib | 5,344 | 6,042.3 | |||
1-Storey, Kate | Grn | 2,214 | 2,795.9 | |||
1-Godon, Frank | PPC | 711 | 1,409.3 | |||
1-Johnson, Jenni | CHP | 470 | 470.0 | |||
1-Mazier, Dan | Con | 26,103 | 20,284.0 | ✔ | ||
fptp.46005 |
This data can not be used to predict outcomes for individual candidates. | 1-Toet, Lawrence | Con | 16,240 | 17,580.7 | |
1-Blaikie, Daniel | NDP | 19,786 | 21,683.0 | ✔ | ||
1-Malabar, Jennifer | Lib | 5,346 | 5,582.8 | |||
1-Manweiler, Kelly | Grn | 1,480 | 1,480.0 | |||
1-Gautron, Noel | PPC | 512 | 512.0 | |||
fptp.46006 |
This data can not be used to predict outcomes for individual candidates. | 1-Dancho, Raquel | Con | 19,856 | 22,150.0 | ✔ |
1-Mihychuk, MaryAnn | Lib | 12,356 | 16,453.7 | |||
1-Krosney, Evan | NDP | 9,387 | 9,777.9 | |||
1-Reed, Rylan | Grn | 1,777 | 1,777.0 | |||
1-Deck, Martin | PPC | 510 | 510.0 | |||
1-Katerynuk, Spencer | CHP | 304 | 304.0 | |||
1-Hiebert, Eduard | Ind | 108 | 108.0 | |||
fptp.46007 |
This data can not be used to predict outcomes for individual candidates. | 1-Werbiski, Ken | Lib | 4,779 | 5,892.7 | |
1-Friesen, Cindy | NDP | 3,872 | 5,542.6 | |||
1-Eert, Beverley | Grn | 2,356 | 3,284.1 | |||
1-Archer, Aaron | PPC | 1,169 | 2,282.7 | |||
1-Dondo, Jerome | CHP | 860 | 860.0 | |||
1-Bergen, Candice | Con | 31,600 | 22,319.0 | ✔ | ||
fptp.46008 |
This data can not be used to predict outcomes for individual candidates. | 1-Kirczenow, Trevor | Lib | 6,347 | 7,267.1 | |
1-McGee, Erin | NDP | 6,187 | 7,567.2 | |||
1-Gibson, Janine G. | Grn | 2,884 | 3,650.8 | |||
1-Sturby, Wayne | PPC | 1,066 | 1,986.1 | |||
1-Falk, Ted | Con | 31,821 | 24,153.5 | ✔ | ||
fptp.46009 |
This data can not be used to predict outcomes for individual candidates. | 1-Caron, Rejeanne | Con | 15,436 | 16,933.5 | |
1-Vandal, Daniel | Lib | 20,300 | 23,670.0 | ✔ | ||
1-Cross, Billie | NDP | 8,037 | 8,624.6 | |||
1-Linnick, Ben | Grn | 2,671 | 2,671.0 | |||
1-McAllister, Adam | PPC | 591 | 591.0 | |||
1-Baljeet, Sharma | Ind | 303 | 303.0 | |||
fptp.46010 |
This data can not be used to predict outcomes for individual candidates. | 1-Smith, Robert A. | NDP | 8,873 | 10,008.3 | |
1-Regelsky, Detlev | Lib | 6,003 | 6,759.8 | |||
1-James, Wayne | Grn | 2,934 | 3,564.7 | |||
1-Kathwaroon, Ian | PPC | 683 | 1,439.8 | |||
1-Bezan, James | Con | 31,109 | 24,802.0 | ✔ | ||
fptp.46011 |
This data can not be used to predict outcomes for individual candidates. | 1-Gazan, Leah | NDP | 13,073 | 15,863.0 | ✔ |
1-Ouellette, Robert-Falcon | Lib | 10,704 | 11,670.1 | |||
1-Dyck, Ryan | Con | 5,561 | 5,836.1 | |||
1-Shalay, Andrea | Grn | 1,661 | 1,661.0 | |||
1-Henderson, Yogi | PPC | 474 | 474.0 | |||
1-Hein, Stephanie | CHP | 251 | 251.0 | |||
fptp.46012 |
This data can not be used to predict outcomes for individual candidates. | 1-Mason, Kyle | NDP | 8,469 | 10,068.4 | |
1-Lamoureux, Kevin | Lib | 15,581 | 16,206.5 | ✔ | ||
1-Ham, Jordyn | Con | 6,820 | 6,892.5 | |||
1-Rajagopal, Sai Shanthanand | Grn | 906 | 906.0 | |||
1-Hizon, Henry | CHP | 279 | 279.0 | |||
1-Doyle, Kathy | Ind | 231 | 231.0 | |||
1-Taylor, Andrew | Com | 125 | 125.0 | |||
fptp.46013 |
This data can not be used to predict outcomes for individual candidates. | 1-Duguid, Terry | Lib | 20,182 | 23,945.5 | ✔ |
1-Maher, Melanie | Con | 18,537 | 19,684.6 | |||
1-Lapointe, Jean-Paul | NDP | 6,678 | 7,134.1 | |||
1-Bettess, Paul | Grn | 2,073 | 2,073.0 | |||
1-Nasiri, Mirwais | PPC | 419 | 419.0 | |||
fptp.46014 |
This data can not be used to predict outcomes for individual candidates. | 1-Bateman, Joyce | Con | 15,051 | 16,931.5 | |
1-Carr, Jim | Lib | 22,799 | 25,331.5 | ✔ | ||
1-Shearer, Elizabeth | NDP | 8,965 | 9,663.1 | |||
1-Beddome, James | Grn | 3,173 | 3,173.0 | |||
1-MacDiarmid, Jane | PPC | 569 | 569.0 | |||
1-Marynuk, Linda | CHP | 104 | 104.0 |
New Brunswick
Region: R_NB
Riding ID | Composed from | Candidate | Party | Votes | Eff Votes | |
---|---|---|---|---|---|---|
fptp.13001 |
This data can not be used to predict outcomes for individual candidates. | 1-Savoie, Martine | Con | 10,352 | 10,772.7 | |
1-Thériault, Daniel | NDP | 6,967 | 8,105.3 | |||
1-Kryszko, Robert | Grn | 4,277 | 4,475.0 | |||
1-Cormier, Serge | Lib | 26,547 | 24,072.5 | ✔ | ||
fptp.13002 |
This data can not be used to predict outcomes for individual candidates. | 1-Reinsborough, Laura | Grn | 14,305 | 16,106.4 | |
1-LeBlanc, Dominic | Lib | 24,948 | 26,843.5 | ✔ | ||
1-Cormier, Vincent | Con | 9,438 | 10,227.0 | |||
1-Bélanger, Jean-Marc | NDP | 3,940 | 3,940.0 | |||
1-Mercier, Nancy | PPC | 1,054 | 1,054.0 | |||
fptp.13003 |
This data can not be used to predict outcomes for individual candidates. | 1-Atwin, Jenica | Grn | 16,640 | 20,155.2 | ✔ |
1-Johnson, Andrea | Con | 15,011 | 18,095.1 | |||
1-DeCourcey, Matt | Lib | 13,544 | 14,692.9 | |||
1-Thomason, Mackenzie | NDP | 2,946 | 2,946.0 | |||
1-Paull, Jason | PPC | 776 | 776.0 | |||
1-Thomas, Lesley | Oth | 286 | 286.0 | |||
1-Kirby, Brandon | Lbt | 126 | 126.0 | |||
1-Patterson, Jacob | Com | 80 | 80.0 | |||
fptp.13004 |
This data can not be used to predict outcomes for individual candidates. | 1-Moore, Rob | Con | 22,389 | 24,324.0 | ✔ |
1-Lockhart, Alaina | Lib | 12,433 | 15,608.9 | |||
1-Thompson, Tim | Grn | 7,275 | 8,139.7 | |||
1-Tolan, James | NDP | 4,804 | 4,804.0 | |||
1-Neumayer, Rudy | PPC | 1,249 | 1,249.0 | |||
1-Amos, David Raymond | Ind | 295 | 295.0 | |||
1-Evans, John | Oth | 201 | 201.0 | |||
fptp.13005 |
This data can not be used to predict outcomes for individual candidates. | 1-Fox, Nelson | Con | 9,801 | 9,817.2 | |
1-Bérubé, Louis | Grn | 5,125 | 5,132.6 | |||
1-Betteridge, Chad | NDP | 2,212 | 2,255.9 | |||
1-Arseneault, René | Lib | 17,331 | 17,235.5 | ✔ | ||
fptp.13006 |
This data can not be used to predict outcomes for individual candidates. | 1-Finnigan, Pat | Lib | 12,722 | 16,160.9 | ✔ |
1-McLean, Peggy | Con | 12,352 | 13,405.2 | |||
1-Deitch, Patty | Grn | 3,914 | 4,431.5 | |||
1-Clancy Teslenko, Eileen | NDP | 2,875 | 2,875.0 | |||
1-MacKenzie, Allison | Ind | 1,160 | 1,556.0 | |||
1-Nowlan, Ron | PPC | 1,179 | 1,179.0 | |||
1-Lawson, Mathew Grant | Ind | 396 | 396.0 | |||
fptp.13007 |
This data can not be used to predict outcomes for individual candidates. | 1-Godin-Charest, Sylvie | Con | 12,200 | 14,219.1 | |
1-Petitpas Taylor, Ginette | Lib | 22,261 | 25,915.0 | ✔ | ||
1-Kelly, Claire | Grn | 9,287 | 10,396.5 | |||
1-MacLaren, Luke | NDP | 6,164 | 6,164.0 | |||
1-Driver, Stephen | PPC | 1,258 | 1,258.0 | |||
1-MacDonald, Brad | Oth | 373 | 373.0 | |||
1-Williams, Rhys | CHP | 285 | 285.0 | |||
fptp.13008 |
This data can not be used to predict outcomes for individual candidates. | 1-Ludwig, Karen | Lib | 10,110 | 10,113.0 | |
1-Jonah, Susan | Grn | 5,352 | 5,354.5 | |||
1-Mullin, Douglas | NDP | 3,251 | 3,255.5 | |||
1-Williamson, John | Con | 19,451 | 19,790.0 | ✔ | ||
1-Sarty, Meryl | PPC | 1,214 | 1,214.0 | |||
1-Scott, Abe | Oth | 200 | 200.0 | |||
fptp.13009 |
This data can not be used to predict outcomes for individual candidates. | 1-Long, Wayne | Lib | 15,443 | 20,286.6 | ✔ |
1-Weston, Rodney | Con | 14,006 | 15,432.7 | |||
1-Cormier, Armand | NDP | 5,046 | 5,962.3 | |||
1-McAllister, Ann | Grn | 4,165 | 4,165.0 | |||
1-Jamieson, Stuart | Ind | 1,183 | 1,333.0 | |||
1-Salesse, Adam J. C. | PPC | 1,260 | 1,260.0 | |||
1-Barnett, Neville | Ind | 150 | 150.0 | |||
fptp.13010 |
This data can not be used to predict outcomes for individual candidates. | 1-MacDonald, Kelsey | Lib | 9,631 | 9,646.3 | |
1-Miller, Rowan P. | Grn | 5,398 | 5,410.8 | |||
1-Aiken, Megan | NDP | 3,007 | 3,030.0 | |||
1-Guay, Dominic | PPC | 936 | 951.3 | |||
1-Bragdon, Richard | Con | 19,229 | 19,101.5 | ✔ |
Newfoundland & Labrador
Region: R_NL
Riding ID | Composed from | Candidate | Party | Votes | Eff Votes | |
---|---|---|---|---|---|---|
fptp.10001 |
This data can not be used to predict outcomes for individual candidates. | 1-Chapman, Matthew | Con | 12,855 | 14,251.0 | |
1-McDonald, Ken | Lib | 19,122 | 20,668.0 | ✔ | ||
1-Movelle, Lea Mary | NDP | 7,142 | 7,629.3 | |||
1-Malone, Greg | Grn | 2,215 | 2,215.0 | |||
fptp.10002 |
This data can not be used to predict outcomes for individual candidates. | 1-Vokey, Sharon | Con | 12,697 | 13,316.3 | |
1-Rogers, Churence | Lib | 14,707 | 16,090.5 | ✔ | ||
1-Cooper, Matthew | NDP | 3,855 | 4,057.4 | |||
1-Reichel, Kelsey | Grn | 920 | 920.0 | |||
fptp.10003 |
This data can not be used to predict outcomes for individual candidates. | 1-Bracci, Alex | Con | 12,081 | 12,971.6 | |
1-Simms, Scott | Lib | 16,514 | 17,092.0 | ✔ | ||
1-Joe, Noel | NDP | 4,224 | 4,523.9 | |||
1-White, Byron | Grn | 1,363 | 1,363.0 | |||
fptp.10004 |
This data can not be used to predict outcomes for individual candidates. | 1-Flemming, Larry | Con | 3,548 | 3,956.0 | |
1-Jones, Yvonne | Lib | 4,851 | 5,710.5 | ✔ | ||
1-Gray, Michelene | NDP | 2,796 | 2,845.3 | |||
1-Colbourne, Tyler | Grn | 224 | 224.0 | |||
fptp.10005 |
This data can not be used to predict outcomes for individual candidates. | 1-Eisses, Josh | Con | 10,873 | 12,315.7 | |
1-Hutchings, Gudie | Lib | 18,199 | 19,214.0 | ✔ | ||
1-Pike, Holly | NDP | 7,609 | 7,902.5 | |||
1-Knill, Lucas | Grn | 1,334 | 1,334.0 | |||
1-Miles, Robert | Oth | 411 | 411.0 | |||
fptp.10006 |
This data can not be used to predict outcomes for individual candidates. | 1-Whalen, Nick | Lib | 14,962 | 16,183.0 | |
1-Harris, Jack | NDP | 21,148 | 22,537.0 | ✔ | ||
1-Wall, Joedy | Con | 8,141 | 8,206.7 | |||
1-Peters, David | Grn | 821 | 821.0 | |||
fptp.10007 |
This data can not be used to predict outcomes for individual candidates. | 1-Anonsen, Anne Marie | NDP | 10,890 | 11,101.1 | |
1-Martin, Terry | Con | 7,767 | 7,845.0 | |||
1-Hayward, Alexandra | Grn | 740 | 776.7 | |||
1-Ruckpaul, Benjamin | PPC | 335 | 344.2 | |||
1-Jones, David | CHP | 141 | 141.0 | |||
1-O'Regan, Seamus | Lib | 20,793 | 20,334.0 | ✔ |
Nova Scotia
Region: R_NS
Riding ID | Composed from | Candidate | Party | Votes | Eff Votes | |
---|---|---|---|---|---|---|
fptp.12001 |
This data can not be used to predict outcomes for individual candidates. | 1-Kelloway, Mike | Lib | 16,694 | 21,471.0 | ✔ |
1-MacLeod, Alfie | Con | 14,821 | 16,214.3 | |||
1-Suitor, Laurie | NDP | 6,354 | 7,084.6 | |||
1-Doucet, Clive | Grn | 3,321 | 3,321.0 | |||
1-Joyce, Billy | PPC | 925 | 925.0 | |||
1-Dockrill, Michelle | Ind | 685 | 685.0 | |||
1-LeBlanc, Darlene Lynn | Oth | 140 | 140.0 | |||
fptp.12002 |
This data can not be used to predict outcomes for individual candidates. | 1-Canyon, George | Con | 13,201 | 14,821.4 | |
1-Fraser, Sean | Lib | 20,718 | 22,236.0 | ✔ | ||
1-MacDonald, Betsy | NDP | 5,806 | 6,571.2 | |||
1-Randle, Barry | Grn | 3,478 | 3,478.0 | |||
1-Muir, Al | PPC | 938 | 938.0 | |||
1-Frazer, Chris | Com | 180 | 180.0 | |||
1-Slowik, Michael | Ind | 149 | 149.0 | |||
fptp.12003 |
This data can not be used to predict outcomes for individual candidates. | 1-Zann, Lenore | Lib | 16,672 | 22,031.1 | ✔ |
1-Armstrong, Scott | Con | 16,219 | 17,615.2 | |||
1-Blanch, Jason | Grn | 6,015 | 6,996.2 | |||
1-Duchesne, Larry | NDP | 5,451 | 5,451.0 | |||
1-Archer, William | PPC | 608 | 608.0 | |||
1-O'Blenis, Jody | Oth | 144 | 253.0 | |||
1-Rushton, Matthew V. | Ind | 232 | 232.0 | |||
1-Garvey, Stephen J | Oth | 109 | 109.0 | |||
fptp.12004 |
This data can not be used to predict outcomes for individual candidates. | 1-Fisher, Darren | Lib | 24,259 | 26,750.5 | ✔ |
1-Norton, Emma | NDP | 14,435 | 17,275.4 | |||
1-Cole, Jason | Con | 8,638 | 9,326.5 | |||
1-MacPherson, Lil | Grn | 5,280 | 5,280.0 | |||
1-Lindsay, Michelle | PPC | 887 | 887.0 | |||
fptp.12005 |
This data can not be used to predict outcomes for individual candidates. | 1-Fillmore, Andy | Lib | 23,681 | 27,877.0 | ✔ |
1-Saulnier, Christine | NDP | 16,747 | 19,852.3 | |||
1-Roberts, Jo-Ann | Grn | 8,013 | 8,677.6 | |||
1-Holland, Bruce | Con | 6,456 | 6,645.9 | |||
1-McGenn, Duncan | PPC | 633 | 633.0 | |||
1-Wilson, Bill | Oth | 222 | 222.0 | |||
fptp.12006 |
This data can not be used to predict outcomes for individual candidates. | 1-Shuman, Fred | Con | 10,488 | 11,140.6 | |
1-Wilson, Jacob | NDP | 10,429 | 12,218.1 | |||
1-Regan, Geoff | Lib | 26,885 | 27,179.5 | ✔ | ||
1-Zurawski, Richard | Grn | 6,555 | 6,555.0 | |||
fptp.12007 |
This data can not be used to predict outcomes for individual candidates. | 1-MacQuarrie, Martha | Con | 11,905 | 14,025.7 | |
1-Blois, Kody | Lib | 20,806 | 24,019.0 | ✔ | ||
1-Schneider, Stephen | NDP | 8,254 | 9,580.4 | |||
1-Anderson, Brogan | Grn | 6,029 | 6,029.0 | |||
1-Southall, Matthew | PPC | 786 | 786.0 | |||
1-Tan, Nicholas | Oth | 138 | 256.0 | |||
1-Dodge, Stacey | Oth | 118 | 118.0 | |||
fptp.12008 |
This data can not be used to predict outcomes for individual candidates. | 1-Samson, Darrell | Lib | 19,925 | 24,769.5 | ✔ |
1-Stickland, Matt | NDP | 11,860 | 15,264.0 | |||
1-Copley, Kevin | Con | 11,211 | 11,913.8 | |||
1-Edmonds, Anthony | Grn | 5,725 | 5,725.0 | |||
1-Hogg, Sybil | PPC | 816 | 816.0 | |||
fptp.12009 |
This data can not be used to predict outcomes for individual candidates. | 1-Perkins, Rick | Con | 14,744 | 16,657.7 | |
1-Jordan, Bernadette | Lib | 21,886 | 26,260.0 | ✔ | ||
1-Hepburn, Jessika | NDP | 8,361 | 9,696.4 | |||
1-Trappenberg, Thomas | Grn | 6,070 | 6,070.0 | |||
1-Monk, Robert | PPC | 667 | 667.0 | |||
1-Foster, Steven | Ind | 376 | 541.0 | |||
1-McMahon, Shawn | Ind | 165 | 165.0 | |||
1-Matthews, Jason | Oth | 125 | 125.0 | |||
1-Schulthies, Kevin | CHP | 124 | 124.0 | |||
fptp.12010 |
This data can not be used to predict outcomes for individual candidates. | 1-Battiste, Jaime | Lib | 12,536 | 17,759.0 | ✔ |
1-Orrell, Eddie | Con | 11,227 | 12,443.8 | |||
1-McDavid, Jodi | NDP | 8,146 | 8,640.8 | |||
1-MacKinnon, Archie | Ind | 5,679 | 6,159.0 | |||
1-Foster, Lois | Grn | 2,249 | 2,249.0 | |||
1-MacNeil, Kenzie | Ind | 480 | 480.0 | |||
1-Joy, Randy | Oth | 248 | 248.0 | |||
fptp.12011 |
This data can not be used to predict outcomes for individual candidates. | 1-Deveau, Jason | Lib | 17,025 | 22,418.0 | ✔ |
1-d'Entremont, Chris | Con | 18,390 | 19,538.5 | |||
1-Green, Judy N | Grn | 5,939 | 6,840.8 | |||
1-Dubois, Matthew | NDP | 5,010 | 5,010.0 | |||
1-Cook, Gloria Jane | Oth | 434 | 434.0 |
Northwest Territories
Region: R_NT
Riding ID | Composed from | Candidate | Party | Votes | Eff Votes | |
---|---|---|---|---|---|---|
fptp.61001 |
This data can not be used to predict outcomes for individual candidates. | 1-D'Aigle, Yanik | Con | 4,157 | 4,894.9 | |
1-McLeod, Michael | Lib | 6,467 | 8,146.5 | ✔ | ||
1-Beckett, Mary | NDP | 3,640 | 4,020.8 | |||
1-Falvo, Paul | Grn | 1,731 | 1,731.0 | |||
1-Quinlan, Luke | PPC | 296 | 296.0 |
Nunavut
Region: R_NU
Riding ID | Composed from | Candidate | Party | Votes | Eff Votes | |
---|---|---|---|---|---|---|
fptp.62001 |
This data can not be used to predict outcomes for individual candidates. | 1-Qaqqaq, Mumilaaq | NDP | 3,861 | 4,728.0 | ✔ |
1-Pizzo Lyall, Megan | Lib | 2,918 | 3,249.2 | |||
1-Aglukkaq, Leona | Con | 2,469 | 2,485.5 | |||
1-Roy, Douglas | Grn | 206 | 206.0 |
Ontario
Region: R_ON
Riding ID | Composed from | Candidate | Party | Votes | Eff Votes | |
---|---|---|---|---|---|---|
fptp.35001 |
This data can not be used to predict outcomes for individual candidates. | 1-Dingwall, Tom | Con | 15,864 | 16,660.8 | |
1-Malik, Shokat | NDP | 7,033 | 9,189.0 | |||
1-Knight, Maia | Grn | 2,040 | 2,415.0 | |||
1-Russo, Susanna | PPC | 588 | 681.7 | |||
1-Hadley, Allen Keith | Ind | 186 | 186.0 | |||
1-Ali, Intab | Ind | 111 | 111.0 | |||
1-Holland, Mark | Lib | 35,198 | 30,511.0 | ✔ | ||
fptp.35002 |
This data can not be used to predict outcomes for individual candidates. | 1-Williamson, Dave | Con | 10,625 | 13,018.4 | |
1-Hughes, Carol | NDP | 16,883 | 20,296.5 | ✔ | ||
1-Wilson, Heather | Lib | 9,879 | 10,229.7 | |||
1-Chapman, Max | Grn | 2,192 | 2,192.0 | |||
1-Delisle, Dave | PPC | 887 | 887.0 | |||
1-Marquis De Marmalade, Le | Oth | 125 | 125.0 | |||
fptp.35003 |
This data can not be used to predict outcomes for individual candidates. | 1-Taylor Roy, Leah | Lib | 22,508 | 26,555.5 | ✔ |
1-Alleslev, Leona | Con | 23,568 | 24,414.6 | |||
1-Brown, Aaron | NDP | 3,820 | 4,293.9 | |||
1-Flemming, Timothy | Grn | 2,154 | 2,154.0 | |||
1-Patil, Priya | PPC | 530 | 530.0 | |||
1-Korovitsyn, Serge | Lbt | 529 | 529.0 | |||
fptp.35004 |
This data can not be used to predict outcomes for individual candidates. | 1-Brassard, John | Con | 23,765 | 27,127.5 | ✔ |
1-Wilson, Lisa-Marie | Lib | 15,879 | 20,501.4 | |||
1-Reinio, Pekka | NDP | 8,880 | 9,917.5 | |||
1-North, Bonnie | Grn | 4,716 | 4,716.0 | |||
1-Robinson, Stephanie | PPC | 1,013 | 1,013.0 | |||
fptp.35005 |
This data can not be used to predict outcomes for individual candidates. | 1-Shipley, Doug | Con | 20,981 | 26,660.8 | ✔ |
1-Kalliecharan, Brian | Lib | 16,805 | 21,650.9 | |||
1-Janssen, Dan | NDP | 7,972 | 9,526.5 | |||
1-Lancaster, Marty | Grn | 7,066 | 7,066.0 | |||
1-Patterson, David | PPC | 969 | 969.0 | |||
fptp.35006 |
This data can not be used to predict outcomes for individual candidates. | 1-Ellis, Neil R. | Lib | 24,099 | 30,774.5 | ✔ |
1-Durkin, Tim | Con | 22,650 | 24,592.2 | |||
1-Bell, Stephanie | NDP | 9,851 | 10,673.8 | |||
1-Celovsky, Danny | Grn | 3,740 | 3,740.0 | |||
1-Bordonaro, Paul | PPC | 1,207 | 1,207.0 | |||
fptp.35007 |
This data can not be used to predict outcomes for individual candidates. | 1-Nam, Mae J. | NDP | 12,196 | 14,085.2 | |
1-Nazeer, Nadirah | Con | 8,026 | 8,724.2 | |||
1-Manners, Sean | Grn | 3,378 | 3,706.6 | |||
1-McKenzie, Deborah | PPC | 831 | 913.1 | |||
1-Erskine-Smith, Nathaniel | Lib | 32,647 | 28,540.0 | ✔ | ||
fptp.35008 |
This data can not be used to predict outcomes for individual candidates. | 1-Gosal, Pawanjit | Con | 10,696 | 12,418.1 | |
1-Sangha, Ramesh | Lib | 18,771 | 19,880.0 | ✔ | ||
1-Boswell, Jordan | NDP | 7,819 | 8,189.7 | |||
1-Thornham, Pauline | Grn | 1,685 | 1,685.0 | |||
1-Bawa, Baljit | PPC | 681 | 681.0 | |||
1-Gershuny, David | M-L | 106 | 106.0 | |||
fptp.35009 |
This data can not be used to predict outcomes for individual candidates. | 1-Singh, Saranjit | NDP | 13,368 | 15,834.4 | |
1-Sidhu, Maninder | Lib | 24,050 | 25,377.5 | ✔ | ||
1-Singh, Ramona | Con | 12,125 | 12,251.5 | |||
1-Burgess-Ogilvie, Teresa | Grn | 666 | 666.0 | |||
1-Walia, Gaurav | PPC | 244 | 244.0 | |||
1-Othi, Manpreet | Ind | 211 | 211.0 | |||
1-Dua, Partap | Oth | 89 | 89.0 | |||
fptp.35010 |
This data can not be used to predict outcomes for individual candidates. | 1-Khanna, Arpan | Con | 13,973 | 14,095.1 | |
1-Edwards, Melissa | NDP | 8,533 | 8,863.3 | |||
1-D'Costa, Norbert | Grn | 1,516 | 1,573.4 | |||
1-Frazer, Keith | PPC | 510 | 524.4 | |||
1-Sahota, Ruby | Lib | 25,970 | 25,252.0 | ✔ | ||
fptp.35011 |
This data can not be used to predict outcomes for individual candidates. | 1-Brar, Ramandeep | Con | 13,828 | 14,096.9 | |
1-Kaur, Mandeep | NDP | 7,985 | 8,432.0 | |||
1-Sidhu, Sonia | Lib | 24,085 | 24,342.5 | ✔ | ||
1-Fraser, Karen | Grn | 1,926 | 1,926.0 | |||
1-Ghuman, Rajwinder | PPC | 354 | 354.0 | |||
1-Mercer, Wavey | CHP | 285 | 285.0 | |||
1-Joshi, Mitesh | Oth | 152 | 152.0 | |||
1-Sullivan, Dagmar | M-L | 68 | 68.0 | |||
fptp.35012 |
This data can not be used to predict outcomes for individual candidates. | 1-Thapliyal, Murarilal | Con | 12,824 | 13,147.1 | |
1-Kaur, Navjit | NDP | 9,855 | 10,729.2 | |||
1-Davidson, Jane | Grn | 1,271 | 1,423.0 | |||
1-Sampson, Roger | PPC | 505 | 543.0 | |||
1-Tannahill, Paul | CHP | 319 | 319.0 | |||
1-Hundal, Harinderpal | Com | 97 | 97.0 | |||
1-Malik, Anjum | Oth | 69 | 69.0 | |||
1-Khera, Kamal | Lib | 28,743 | 26,842.5 | ✔ | ||
fptp.35013 |
This data can not be used to predict outcomes for individual candidates. | 1-McColeman, Phil | Con | 26,849 | 33,334.0 | ✔ |
1-Takacs, Danielle | Lib | 20,454 | 26,621.5 | |||
1-Sawyer, Sabrina | NDP | 13,131 | 14,067.5 | |||
1-Jonkman, Bob | Grn | 4,257 | 4,257.0 | |||
1-Wrobel, Dave | PPC | 1,320 | 1,320.0 | |||
1-Gallagher, Jeffrey | Oth | 394 | 394.0 | |||
1-Turmel, John The Engineer | Ind | 146 | 261.0 | |||
1-Bory, Leslie | Ind | 115 | 115.0 | |||
fptp.35014 |
This data can not be used to predict outcomes for individual candidates. | 1-Ruff, Alex | Con | 26,830 | 29,081.5 | ✔ |
1-Den Tandt, Michael | Lib | 17,485 | 21,392.9 | |||
1-Stephen, Chris | NDP | 6,797 | 7,922.1 | |||
1-Valiquette, Danielle | Grn | 5,114 | 5,114.0 | |||
1-Townsend, Bill | PPC | 1,614 | 1,614.0 | |||
1-Little, Daniel | Lbt | 321 | 321.0 | |||
fptp.35015 |
This data can not be used to predict outcomes for individual candidates. | 1-Michael, Jane | Con | 23,930 | 26,119.7 | |
1-Gould, Karina | Lib | 34,989 | 35,993.5 | ✔ | ||
1-Dupuis, Lenaee | NDP | 7,372 | 8,417.0 | |||
1-Williams, Gareth | Grn | 4,750 | 4,750.0 | |||
1-Smetana, Peter | PPC | 944 | 944.0 | |||
fptp.35016 |
This data can not be used to predict outcomes for individual candidates. | 1-May, Bryan | Lib | 22,903 | 28,972.0 | ✔ |
1-Attwal, Sunny | Con | 17,409 | 19,773.9 | |||
1-Hamilton, Scott | NDP | 11,177 | 12,132.5 | |||
1-Braniff, Michele | Grn | 4,343 | 4,343.0 | |||
1-Haskell, David | PPC | 1,872 | 1,872.0 | |||
1-McMorrow, George | Oth | 162 | 162.0 | |||
1-Couto, Manuel | M-L | 76 | 76.0 | |||
fptp.35017 |
This data can not be used to predict outcomes for individual candidates. | 1-Epp, Dave | Con | 25,359 | 27,045.0 | ✔ |
1-Omstead, Katie | Lib | 16,899 | 20,657.2 | |||
1-Walsh, Tony | NDP | 8,229 | 8,720.3 | |||
1-Vercouteren, Mark | Grn | 2,233 | 2,233.0 | |||
1-Balagtas, John | PPC | 1,061 | 1,061.0 | |||
1-Coulbeck, Paul | Oth | 307 | 307.0 | |||
fptp.35018 |
This data can not be used to predict outcomes for individual candidates. | 1-Dzerowicz, Julie | Lib | 23,251 | 26,591.0 | ✔ |
1-Cash, Andrew | NDP | 21,812 | 23,286.4 | |||
1-Bhatia, Sanjay | Con | 4,921 | 5,261.6 | |||
1-Conover-Arthurs, Hannah | Grn | 2,397 | 2,397.0 | |||
1-Ciardullo, Francesco | PPC | 496 | 496.0 | |||
1-Young, Troy | Ind | 86 | 165.0 | |||
1-Rowley, Elizabeth | Com | 138 | 138.0 | |||
1-Kalevar, Chai | Ind | 79 | 79.0 | |||
fptp.35019 |
This data can not be used to predict outcomes for individual candidates. | 1-Ma, Michael | Con | 10,115 | 10,820.0 | |
1-Thompson, Nicholas | NDP | 4,647 | 6,554.6 | |||
1-Turcotte, Dan | Grn | 1,675 | 2,006.8 | |||
1-Hendry, John P. | PPC | 562 | 644.9 | |||
1-Ratansi, Yasmin | Lib | 25,295 | 21,148.0 | ✔ | ||
fptp.35020 |
This data can not be used to predict outcomes for individual candidates. | 1-Fischer, Sarah | Con | 16,506 | 16,541.4 | |
1-Griffin, Bruce | NDP | 4,285 | 4,380.9 | |||
1-Giavedoni, Daniel | Grn | 1,803 | 1,819.7 | |||
1-Sobel, Jay | PPC | 482 | 486.2 | |||
1-Dong, Han | Lib | 23,495 | 23,286.5 | ✔ | ||
fptp.35021 |
This data can not be used to predict outcomes for individual candidates. | 1-Robertson, Yvonne | Con | 16,304 | 16,819.1 | |
1-MacDowell, Laurel | NDP | 3,804 | 5,197.8 | |||
1-Kistindey, Amanda | Grn | 2,257 | 2,499.4 | |||
1-Prittie, Ian | PPC | 444 | 504.6 | |||
1-Kittredge, John | Lbt | 277 | 277.0 | |||
1-Oliphant, Robert | Lib | 29,148 | 26,118.0 | ✔ | ||
fptp.35022 |
This data can not be used to predict outcomes for individual candidates. | 1-Seeback, Kyle | Con | 28,852 | 34,309.0 | ✔ |
1-Fisher, Michele | Lib | 22,645 | 27,552.7 | |||
1-Brown, Allison | NDP | 7,981 | 9,587.7 | |||
1-Wiesen, Stefan | Grn | 7,303 | 7,303.0 | |||
1-Ransom, Chad | PPC | 1,516 | 1,516.0 | |||
1-Emo, Russ | CHP | 319 | 319.0 | |||
fptp.35023 |
This data can not be used to predict outcomes for individual candidates. | 1-O'Toole, Erin | Con | 30,752 | 36,508.0 | ✔ |
1-Giancroce, Jonathan | Lib | 23,547 | 29,713.9 | |||
1-Whalen-Wright, Sarah | NDP | 13,323 | 14,192.0 | |||
1-Price, Evan | Grn | 3,950 | 3,950.0 | |||
1-Virtue, Brenda | PPC | 1,442 | 1,442.0 | |||
fptp.35024 |
This data can not be used to predict outcomes for individual candidates. | 1-Aryeh-Bain, Chani | Con | 18,549 | 18,863.0 | |
1-Nash, Alexandra | NDP | 4,741 | 5,590.6 | |||
1-DeBoer, Reuben | Grn | 2,278 | 2,425.8 | |||
1-Staffieri, Michael | PPC | 586 | 622.9 | |||
1-Mendicino, Marco | Lib | 29,850 | 28,003.0 | ✔ | ||
fptp.35025 |
This data can not be used to predict outcomes for individual candidates. | 1-Armstrong, Pam | Lib | 14,324 | 14,341.8 | |
1-Hargreaves, Bob | NDP | 11,019 | 11,045.6 | |||
1-Hendel, Ericha | Grn | 3,562 | 3,576.8 | |||
1-Helkaa, Donald | PPC | 956 | 973.8 | |||
1-Redecop, Peter | CHP | 618 | 618.0 | |||
1-Styve, Richard | Lbt | 249 | 249.0 | |||
1-Vecchio, Karen | Con | 31,026 | 30,878.0 | ✔ | ||
fptp.35026 |
This data can not be used to predict outcomes for individual candidates. | 1-Lewis, Chris | Con | 28,274 | 34,145.0 | ✔ |
1-Ramsey, Tracey | NDP | 23,603 | 30,215.0 | |||
1-Festeryga, Audrey | Lib | 12,987 | 13,334.7 | |||
1-Alderson, Jennifer | Grn | 2,173 | 2,173.0 | |||
1-Capes, Bill | PPC | 1,251 | 1,251.0 | |||
fptp.35027 |
This data can not be used to predict outcomes for individual candidates. | 1-Opitz, Ted | Con | 21,804 | 22,006.2 | |
1-Vickers-Wong, Heather | NDP | 4,881 | 5,428.2 | |||
1-Semple, Cameron | Grn | 2,775 | 2,870.2 | |||
1-Serdiuk, Nicholas | PPC | 664 | 687.8 | |||
1-Wrzesniewski, Mark | Lbt | 295 | 295.0 | |||
1-Baker, Yvan | Lib | 32,800 | 31,610.5 | ✔ | ||
fptp.35028 |
This data can not be used to predict outcomes for individual candidates. | 1-O'Brien, Barry | Con | 19,952 | 20,173.4 | |
1-Gasperlin, Branko | NDP | 8,277 | 8,876.2 | |||
1-Caldwell, Chris | Grn | 4,141 | 4,245.2 | |||
1-Sulejmani, Jude | PPC | 921 | 947.1 | |||
1-Murray, Janice | M-L | 163 | 163.0 | |||
1-Maloney, James | Lib | 36,061 | 34,758.5 | ✔ | ||
fptp.35029 |
This data can not be used to predict outcomes for individual candidates. | 1-Kaur, Sarabjit | Con | 9,524 | 10,359.4 | |
1-Farah, Naiima | NDP | 4,654 | 6,914.4 | |||
1-Ford, Renata | PPC | 1,196 | 1,294.3 | |||
1-Ghuman, Nancy | Grn | 1,080 | 1,473.1 | |||
1-Mehta, Sudhir | Oth | 104 | 104.0 | |||
1-Duncan, Kirsty | Lib | 26,388 | 21,474.0 | ✔ | ||
fptp.35030 |
This data can not be used to predict outcomes for individual candidates. | 1-Stebbing, Jennifer | Lib | 22,875 | 31,018.9 | ✔ |
1-Sweet, David | Con | 24,527 | 26,468.1 | |||
1-Cillis, Allison | NDP | 10,322 | 11,165.3 | |||
1-Errygers, Janet | Grn | 3,833 | 3,833.0 | |||
1-Tilden, David | PPC | 982 | 982.0 | |||
fptp.35031 |
This data can not be used to predict outcomes for individual candidates. | 1-Lemieux, Pierre | Con | 23,660 | 25,299.5 | |
1-Drouin, Francis | Lib | 31,293 | 32,732.5 | ✔ | ||
1-Konstantine, Malakos | NDP | 6,619 | 7,062.7 | |||
1-Lépine, Marthe | Grn | 2,017 | 2,017.0 | |||
1-Desgranges, Jean-Jacques | PPC | 1,174 | 1,174.0 | |||
1-Donnelly, Darcy Neal | Lbt | 262 | 262.0 | |||
1-Fey, Daniel John | Ind | 239 | 239.0 | |||
1-Gagnier, Marc-Antoine | Oth | 199 | 199.0 | |||
fptp.35032 |
This data can not be used to predict outcomes for individual candidates. | 1-Longfield, Lloyd | Lib | 30,497 | 37,785.0 | ✔ |
1-Dyck, Steve | Grn | 19,236 | 22,510.4 | |||
1-Sachan, Ashish | Con | 14,568 | 16,009.7 | |||
1-Jahangir, Aisha | NDP | 9,297 | 9,297.0 | |||
1-Paralovos, Mark | PPC | 1,087 | 1,087.0 | |||
1-Truscott, Gordon | CHP | 498 | 498.0 | |||
1-Wassilyn, Michael | Ind | 133 | 219.0 | |||
1-Burnett, Juanita | Com | 166 | 166.0 | |||
1-Klevering, Kornelis | Ind | 86 | 86.0 | |||
fptp.35033 |
This data can not be used to predict outcomes for individual candidates. | 1-Huffman, Kim | Lib | 14,704 | 19,493.4 | |
1-Finley, Diane | Con | 28,018 | 29,964.0 | ✔ | ||
1-Roberts, Adrienne | NDP | 9,192 | 10,265.2 | |||
1-Martin, Brooke | Grn | 4,878 | 4,878.0 | |||
1-Forbes, Bob | PPC | 1,234 | 1,234.0 | |||
1-Stewart, Harold | Oth | 1,083 | 1,083.0 | |||
1-Eggink, Lily | CHP | 817 | 817.0 | |||
fptp.35034 |
This data can not be used to predict outcomes for individual candidates. | 1-Forbes, Judi | Lib | 17,067 | 17,972.3 | |
1-Doyle, Barbara | NDP | 9,676 | 10,923.6 | |||
1-Schmale, Jamie | Con | 32,257 | 32,881.0 | ✔ | ||
1-Fraser, Elizabeth | Grn | 5,515 | 5,515.0 | |||
1-Balfour, Gene | PPC | 1,245 | 1,245.0 | |||
fptp.35035 |
This data can not be used to predict outcomes for individual candidates. | 1-Kujavsky, Jasper | Lib | 12,651 | 14,123.6 | |
1-Green, Matthew | NDP | 20,368 | 22,062.0 | ✔ | ||
1-Ciriello, Monica | Con | 6,341 | 6,860.5 | |||
1-Lopez, Jason | Grn | 3,370 | 3,370.0 | |||
1-Mamone, Melina | PPC | 833 | 833.0 | |||
1-Lemma, Tony | Ind | 158 | 377.0 | |||
1-Duyzer, Gary | CHP | 182 | 182.0 | |||
1-Graydon, Edward | Ind | 134 | 176.5 | |||
1-Yan, Nathalie Xian Yi | Ind | 85 | 85.0 | |||
fptp.35036 |
This data can not be used to predict outcomes for individual candidates. | 1-Bratina, Bob | Lib | 20,112 | 26,074.0 | ✔ |
1-Milanovic, Nick | NDP | 14,930 | 18,031.5 | |||
1-Kaur, Nikki | Con | 13,130 | 13,683.8 | |||
1-Ormond, Peter | Grn | 2,902 | 2,902.0 | |||
1-Crocker, Charles | PPC | 1,072 | 1,072.0 | |||
fptp.35037 |
This data can not be used to predict outcomes for individual candidates. | 1-Duvall, Scott | NDP | 19,135 | 26,475.5 | ✔ |
1-Uggenti, Bruno | Lib | 16,057 | 18,225.8 | |||
1-Dyakowski, Peter | Con | 13,443 | 13,920.2 | |||
1-Urquhart, Dave | Grn | 3,115 | 3,115.0 | |||
1-Lee, Trevor | PPC | 760 | 760.0 | |||
1-Enos, Jim | CHP | 330 | 330.0 | |||
1-Plett, Richard | Oth | 109 | 109.0 | |||
fptp.35038 |
This data can not be used to predict outcomes for individual candidates. | 1-Laranjo, Bert | Con | 17,340 | 20,082.2 | |
1-Tassi, Filomena | Lib | 30,214 | 32,451.5 | ✔ | ||
1-Malik, Yousaf | NDP | 11,527 | 12,576.4 | |||
1-Galea, Victoria | Grn | 4,770 | 4,770.0 | |||
1-Ricottone, Daniel | PPC | 894 | 894.0 | |||
1-Rocchi, Spencer | Oth | 156 | 156.0 | |||
fptp.35039 |
This data can not be used to predict outcomes for individual candidates. | 1-Sloan, Derek | Con | 21,968 | 26,548.0 | ✔ |
1-Bossio, Mike | Lib | 19,721 | 23,210.2 | |||
1-Tough, David | NDP | 6,984 | 7,669.1 | |||
1-Watson, Sari | Grn | 3,114 | 3,114.0 | |||
1-Gray, Adam L. E. | PPC | 1,307 | 1,307.0 | |||
fptp.35040 |
This data can not be used to predict outcomes for individual candidates. | 1-Thompson, Allan | Lib | 20,167 | 23,786.1 | |
1-Lobb, Ben | Con | 29,512 | 30,434.5 | ✔ | ||
1-McQuail, Tony | NDP | 7,421 | 8,007.3 | |||
1-Wendler, Nicholas | Grn | 2,665 | 2,665.0 | |||
1-Klerks, Kevin M. | PPC | 1,102 | 1,102.0 | |||
fptp.35041 |
This data can not be used to predict outcomes for individual candidates. | 1-McCrimmon, Karen | Lib | 28,746 | 33,387.0 | ✔ |
1-McCaffrey, Justina | Con | 24,361 | 26,114.1 | |||
1-Coenraad, Melissa | NDP | 8,317 | 9,282.1 | |||
1-Purdy, Jennifer | Grn | 4,387 | 4,387.0 | |||
1-Miller, Scott | PPC | 961 | 961.0 | |||
fptp.35042 |
This data can not be used to predict outcomes for individual candidates. | 1-Nault, Robert Daniel | Lib | 8,335 | 13,081.0 | ✔ |
1-Melillo, Eric | Con | 9,445 | 10,674.5 | |||
1-Turtle, Rudy | NDP | 7,923 | 8,258.7 | |||
1-Ralko, Kirsi | Grn | 1,526 | 1,526.0 | |||
1-Di Pasquale, Michael | PPC | 388 | 388.0 | |||
1-Boucher-Chicago, Kelvin | Ind | 170 | 170.0 | |||
fptp.35043 |
This data can not be used to predict outcomes for individual candidates. | 1-Schulte, Deborah | Lib | 28,725 | 31,925.0 | ✔ |
1-Roberts, Anna | Con | 27,584 | 28,586.1 | |||
1-Bernardo-Ciddio, Emilio | NDP | 4,297 | 4,849.4 | |||
1-Raney, Ann | Grn | 2,511 | 2,511.0 | |||
1-Strgacic, Anton | PPC | 731 | 731.0 | |||
fptp.35044 |
This data can not be used to predict outcomes for individual candidates. | 1-Gerretsen, Mark | Lib | 31,205 | 34,097.5 | ✔ |
1-Walker, Barrington | NDP | 15,856 | 19,766.5 | |||
1-Yakoviychuk, Ruslan | Con | 13,304 | 14,319.4 | |||
1-Christmas, Candice | Grn | 6,059 | 6,059.0 | |||
1-Brooke, Andy | PPC | 1,769 | 1,769.0 | |||
fptp.35045 |
This data can not be used to predict outcomes for individual candidates. | 1-Saini, Raj | Lib | 20,316 | 27,169.4 | ✔ |
1-Morrice, Mike | Grn | 14,394 | 16,941.8 | |||
1-Woodworth, Stephen | Con | 13,191 | 14,249.5 | |||
1-Moraga, Andrew | NDP | 6,238 | 6,238.0 | |||
1-Bernier, Patrick | PPC | 1,033 | 1,033.0 | |||
1-Papenburg, Ellen | Oth | 202 | 202.0 | |||
fptp.35046 |
This data can not be used to predict outcomes for individual candidates. | 1-Louis, Tim | Lib | 20,480 | 25,768.5 | ✔ |
1-Albrecht, Harold | Con | 20,115 | 21,502.7 | |||
1-De Wet, Riani | NDP | 5,204 | 6,292.1 | |||
1-Goertz, Stephanie | Grn | 4,946 | 4,946.0 | |||
1-Wallar, Koltyn | PPC | 790 | 790.0 | |||
fptp.35047 |
This data can not be used to predict outcomes for individual candidates. | 1-Tabbara, Marwan | Lib | 20,986 | 26,117.5 | ✔ |
1-Keeso, Alan | Con | 17,480 | 19,218.3 | |||
1-Rahimi, Wasai | NDP | 6,945 | 8,192.6 | |||
1-Weber, David | Grn | 5,671 | 5,671.0 | |||
1-Todd, Joseph | PPC | 1,005 | 1,005.0 | |||
1-Correia, Matthew | Oth | 90 | 90.0 | |||
1-Baetz, Elaine | M-L | 56 | 56.0 | |||
fptp.35048 |
This data can not be used to predict outcomes for individual candidates. | 1-McCormick, Jesse | Lib | 14,814 | 15,399.5 | |
1-Mclay, Dylan | NDP | 9,355 | 10,164.1 | |||
1-Rood, Lianne | Con | 28,651 | 29,207.0 | ✔ | ||
1-Li, Anthony | Grn | 3,463 | 3,463.0 | |||
1-Atkins, Bria | PPC | 1,804 | 1,804.0 | |||
1-Lalande, Rob | Oth | 325 | 325.0 | |||
fptp.35049 |
This data can not be used to predict outcomes for individual candidates. | 1-Kennedy, Kayley | Lib | 15,441 | 20,727.2 | |
1-Reid, Scott | Con | 30,077 | 31,241.5 | ✔ | ||
1-Schilling, Satinka | NDP | 8,835 | 10,377.4 | |||
1-Kotze, Stephen | Grn | 7,011 | 7,011.0 | |||
1-Barton, Matthew | PPC | 1,117 | 1,117.0 | |||
fptp.35050 |
This data can not be used to predict outcomes for individual candidates. | 1-Bennett, Josh | Lib | 15,482 | 16,319.6 | |
1-Taylor, Michelle | NDP | 8,201 | 9,354.4 | |||
1-Barrett, Michael | Con | 28,630 | 29,227.5 | ✔ | ||
1-Rekmans, Lorraine | Grn | 5,152 | 5,152.0 | |||
1-Hindle, Evan | PPC | 988 | 988.0 | |||
fptp.35051 |
This data can not be used to predict outcomes for individual candidates. | 1-Mathyssen, Lindsay | NDP | 22,671 | 27,788.5 | ✔ |
1-Hammoud, Mohamed | Lib | 14,924 | 17,088.8 | |||
1-van Holst, Michael | Con | 13,770 | 14,332.1 | |||
1-Cull, Tom | Grn | 2,781 | 2,781.0 | |||
1-Kosoian, Bela | PPC | 1,132 | 1,132.0 | |||
1-Campbell, Stephen | Ind | 297 | 297.0 | |||
fptp.35052 |
This data can not be used to predict outcomes for individual candidates. | 1-Fragiskatos, Peter | Lib | 27,247 | 31,871.5 | ✔ |
1-Prout, Dirka | NDP | 14,887 | 18,823.6 | |||
1-Bokhari, Sarah | Con | 15,066 | 15,915.4 | |||
1-Dyck, Carol | Grn | 4,872 | 4,872.0 | |||
1-Mansur, Salim | PPC | 1,532 | 1,532.0 | |||
1-Sorrenti, Clara | Com | 137 | 137.0 | |||
fptp.35053 |
This data can not be used to predict outcomes for individual candidates. | 1-Snelgrove, Liz | Con | 19,910 | 22,811.3 | |
1-Young, Kate | Lib | 30,622 | 35,637.5 | ✔ | ||
1-Lewkowitz, Shawna | NDP | 15,220 | 16,061.9 | |||
1-Hodge, Mary Ann | Grn | 3,827 | 3,827.0 | |||
1-Mcmullen, Mike | PPC | 1,171 | 1,171.0 | |||
1-Boudreau, Jacques | Lbt | 523 | 523.0 | |||
fptp.35054 |
This data can not be used to predict outcomes for individual candidates. | 1-Jaczek, Helena | Lib | 25,055 | 29,528.8 | ✔ |
1-Antony, Theodore | Con | 19,703 | 20,532.4 | |||
1-Philpott, Jane | Ind | 13,340 | 13,340.0 | |||
1-Berman, Hal | NDP | 4,132 | 4,488.6 | |||
1-Long, Roy | Grn | 1,621 | 1,621.0 | |||
1-Lin, Jeremy | PPC | 537 | 537.0 | |||
fptp.35055 |
This data can not be used to predict outcomes for individual candidates. | 1-Yuan, Alex | Con | 15,319 | 15,613.5 | |
1-Sahbaz, Paul | NDP | 3,233 | 4,030.0 | |||
1-Williams, Chris | Grn | 1,247 | 1,385.6 | |||
1-Remedios, Peter | PPC | 357 | 391.7 | |||
1-Macwan, Josephbai | Ind | 276 | 276.0 | |||
1-Ng, Mary | Lib | 23,899 | 22,166.5 | ✔ | ||
fptp.35056 |
This data can not be used to predict outcomes for individual candidates. | 1-Ho, Alan | Lib | 20,484 | 22,491.2 | |
1-Saroya, Bob | Con | 26,133 | 26,699.0 | ✔ | ||
1-Hines, Gregory | NDP | 3,524 | 4,050.7 | |||
1-Kao, Elvin | Grn | 2,394 | 2,394.0 | |||
1-Chung, Sarah | PPC | 861 | 861.0 | |||
fptp.35057 |
This data can not be used to predict outcomes for individual candidates. | 1-Raitt, Lisa | Con | 21,564 | 21,741.1 | |
1-Hassan, Farina | NDP | 3,851 | 4,330.1 | |||
1-Hayward, Eleanor | Grn | 2,769 | 2,852.3 | |||
1-Dastur, Percy | PPC | 613 | 633.8 | |||
1-van Koeverden, Adam | Lib | 30,882 | 29,840.5 | ✔ | ||
fptp.35058 |
This data can not be used to predict outcomes for individual candidates. | 1-Mikael, Milad | Con | 15,874 | 16,400.2 | |
1-Walji, Sarah | NDP | 5,173 | 6,596.7 | |||
1-Reinoso, Hugo | Grn | 1,646 | 1,893.6 | |||
1-Micalef, David | PPC | 837 | 898.9 | |||
1-Vezina, Greg | Ind | 252 | 252.0 | |||
1-Alghabra, Omar | Lib | 29,974 | 26,879.0 | ✔ | ||
fptp.35059 |
This data can not be used to predict outcomes for individual candidates. | 1-Lizon, Wladyslaw | Con | 17,664 | 17,937.8 | |
1-Takacs, Tom | NDP | 4,643 | 5,383.8 | |||
1-Rasheed, Maha | Grn | 1,578 | 1,706.8 | |||
1-Rizvi, Syed | PPC | 637 | 669.2 | |||
1-Di Carlo, Anna | M-L | 178 | 178.0 | |||
1-Fonseca, Peter | Lib | 27,923 | 26,312.5 | ✔ | ||
fptp.35060 |
This data can not be used to predict outcomes for individual candidates. | 1-Tawfilis, Hani | Con | 19,050 | 19,398.3 | |
1-Tariq, Salman | NDP | 5,236 | 6,178.5 | |||
1-Boscarino-Gaetano, Remo | Grn | 2,147 | 2,310.9 | |||
1-Alsabagh, Hazar | PPC | 648 | 689.0 | |||
1-Khalid, Iqra | Lib | 31,181 | 29,132.0 | ✔ | ||
fptp.35061 |
This data can not be used to predict outcomes for individual candidates. | 1-Ambler, Stella | Con | 22,740 | 24,157.1 | |
1-Spengemann, Sven | Lib | 29,526 | 30,500.5 | ✔ | ||
1-Laughton, Adam | NDP | 5,103 | 5,722.1 | |||
1-Trentelman, Cynthia | Grn | 2,814 | 2,814.0 | |||
1-Vizitiu, Eugen | PPC | 717 | 717.0 | |||
1-Darby, Carlton | Oth | 99 | 99.0 | |||
fptp.35062 |
This data can not be used to predict outcomes for individual candidates. | 1-Varughese, Tom | Con | 12,528 | 13,143.5 | |
1-Clarke, Nikki | NDP | 6,103 | 7,768.4 | |||
1-Porter, Christina | Grn | 1,251 | 1,540.6 | |||
1-Gora, Tahir | PPC | 369 | 441.4 | |||
1-Buchanan, Prudence | Oth | 306 | 306.0 | |||
1-Chilelli, Frank | M-L | 90 | 90.0 | |||
1-Bains, Navdeep Singh | Lib | 27,890 | 24,269.5 | ✔ | ||
fptp.35063 |
This data can not be used to predict outcomes for individual candidates. | 1-Melek, Ghada | Con | 19,474 | 19,513.9 | |
1-Girguis, Samir | NDP | 6,036 | 6,143.9 | |||
1-Hill, Chris | Grn | 2,688 | 2,706.8 | |||
1-McIver, Thomas | PPC | 706 | 710.7 | |||
1-Spizzirri, Natalie | Oth | 243 | 243.0 | |||
1-Sikand, Gagan | Lib | 29,618 | 29,383.5 | ✔ | ||
fptp.35064 |
This data can not be used to predict outcomes for individual candidates. | 1-St. Louis, Brian | Con | 23,320 | 25,385.0 | |
1-Arya, Chandra | Lib | 31,933 | 34,792.5 | ✔ | ||
1-Ansari, Zaff | NDP | 9,104 | 10,067.4 | |||
1-Cooke, Jean-Luc | Grn | 4,379 | 4,379.0 | |||
1-Hooda, Azim | PPC | 687 | 687.0 | |||
1-Wang, Dustan | Com | 160 | 160.0 | |||
fptp.35065 |
This data can not be used to predict outcomes for individual candidates. | 1-Van Bynen, Tony | Lib | 26,488 | 30,731.0 | ✔ |
1-Brown, Lois | Con | 23,252 | 24,595.3 | |||
1-Kelly, Yvonne | NDP | 6,576 | 7,357.2 | |||
1-Bauer, Walter | Grn | 3,551 | 3,551.0 | |||
1-Baxter, Dorian | Oth | 901 | 1,005.0 | |||
1-McCaughtrie, Andrew | PPC | 588 | 588.0 | |||
1-Goble, Laurie | Oth | 104 | 104.0 | |||
fptp.35066 |
This data can not be used to predict outcomes for individual candidates. | 1-Badawey, Vance | Lib | 20,292 | 28,982.5 | ✔ |
1-Jeffs, April | Con | 17,987 | 20,401.0 | |||
1-Allen, Malcolm | NDP | 15,469 | 16,140.9 | |||
1-Tomaino, Michael | Grn | 3,054 | 3,054.0 | |||
1-Sainz-Nieto, Andrew | PPC | 776 | 776.0 | |||
1-Bylsma, Nic | CHP | 308 | 308.0 | |||
1-Walker, Robert | M-L | 77 | 77.0 | |||
fptp.35067 |
This data can not be used to predict outcomes for individual candidates. | 1-Kaiser, Andrea | Lib | 22,690 | 31,656.8 | ✔ |
1-Baldinelli, Tony | Con | 24,751 | 26,911.5 | |||
1-Barker, Brian | NDP | 12,566 | 13,314.9 | |||
1-Strange, Mike | Ind | 4,997 | 4,997.0 | |||
1-O'Connor, Sandra | Grn | 3,404 | 3,404.0 | |||
1-Taylor, Alexander | PPC | 968 | 968.0 | |||
1-O'Connor, Tricia | CHP | 358 | 358.0 | |||
fptp.35068 |
This data can not be used to predict outcomes for individual candidates. | 1-Allison, Dean | Con | 24,447 | 26,963.0 | ✔ |
1-Bingham, Ian | Lib | 17,429 | 20,869.4 | |||
1-Rahman, Nameer | NDP | 6,540 | 7,336.4 | |||
1-Teather, Terry | Grn | 3,620 | 3,620.0 | |||
1-Jonker, Harold | CHP | 1,019 | 1,019.0 | |||
1-Morton, Miles | PPC | 869 | 869.0 | |||
fptp.35069 |
This data can not be used to predict outcomes for individual candidates. | 1-Serré, Marc G. | Lib | 19,046 | 24,425.0 | ✔ |
1-Paquette, Stef | NDP | 15,656 | 18,200.1 | |||
1-Laamanen, Aino | Con | 10,343 | 10,902.2 | |||
1-Lalonde, Casey | Grn | 2,644 | 2,644.0 | |||
1-Paavola, Mikko | PPC | 1,159 | 1,159.0 | |||
fptp.35070 |
This data can not be used to predict outcomes for individual candidates. | 1-Carr, Jordy | Con | 12,984 | 15,249.4 | |
1-Rota, Anthony | Lib | 19,352 | 23,864.5 | ✔ | ||
1-Boulet, Rob | NDP | 9,784 | 10,468.4 | |||
1-Gomm, Alex | Grn | 3,111 | 3,111.0 | |||
1-King, Mark | PPC | 2,496 | 2,496.0 | |||
fptp.35071 |
This data can not be used to predict outcomes for individual candidates. | 1-Rudd, Kim | Lib | 24,977 | 33,632.4 | ✔ |
1-Lawrence, Philip | Con | 27,385 | 29,564.6 | |||
1-MacDonald, Mallory | NDP | 9,615 | 10,830.3 | |||
1-Wheeldon, Jeff | Grn | 5,524 | 5,524.0 | |||
1-Vaughan, Frank | PPC | 1,460 | 1,460.0 | |||
fptp.35072 |
This data can not be used to predict outcomes for individual candidates. | 1-Young, Terence H. | Con | 25,561 | 26,853.2 | |
1-Anand, Anita | Lib | 30,265 | 32,701.5 | ✔ | ||
1-Adamo, Jerome | NDP | 4,928 | 5,742.9 | |||
1-Elwick, James | Grn | 3,704 | 3,704.0 | |||
1-Meaney, JD | PPC | 798 | 798.0 | |||
1-Pereira, Sushila | CHP | 145 | 145.0 | |||
fptp.35073 |
This data can not be used to predict outcomes for individual candidates. | 1-Weir, Sean | Con | 26,484 | 28,028.9 | |
1-Damoff, Pam | Lib | 33,597 | 34,812.5 | ✔ | ||
1-Dion, Nicolas | NDP | 5,866 | 6,509.5 | |||
1-Houghton, Michael | Grn | 2,925 | 2,925.0 | |||
1-Jubinville, Gilbert Joseph | PPC | 751 | 751.0 | |||
fptp.35074 |
This data can not be used to predict outcomes for individual candidates. | 1-Carrie, Colin | Con | 24,087 | 30,567.4 | ✔ |
1-Panylo, Shailene | NDP | 17,668 | 25,838.1 | |||
1-Hossain, Afroza | Lib | 15,750 | 16,254.2 | |||
1-Ramsden, Jovannah | Grn | 3,151 | 3,151.0 | |||
1-Mackenzie, Eric | PPC | 1,215 | 1,215.0 | |||
1-Tomlinson, Jeff | Com | 112 | 112.0 | |||
fptp.35075 |
This data can not be used to predict outcomes for individual candidates. | 1-Taman, Emilie | NDP | 22,916 | 26,635.5 | |
1-McKenna, Catherine | Lib | 38,391 | 39,452.0 | ✔ | ||
1-Clemenhagen, Carol | Con | 9,920 | 10,603.0 | |||
1-Keller-Herzog, Angela | Grn | 5,837 | 5,837.0 | |||
1-Sevilla, Merylee | PPC | 720 | 720.0 | |||
1-Corcoran, Coreen | Lbt | 360 | 360.0 | |||
1-Jones, Chris G | Ind | 177 | 242.0 | |||
1-Bertrand, Shelby | Oth | 207 | 207.0 | |||
1-Leriche, Marie-Chantal | CHP | 198 | 198.0 | |||
1-Ryan, Stuart | Com | 111 | 111.0 | |||
1-Vo, Giang Ha Thu | Ind | 65 | 65.0 | |||
fptp.35076 |
This data can not be used to predict outcomes for individual candidates. | 1-Bertschi, David | Con | 22,984 | 23,575.1 | |
1-Wiens, Jacqui | NDP | 9,428 | 11,027.4 | |||
1-Petersen, Michelle | Grn | 3,829 | 4,107.2 | |||
1-Saint-Fleur, Roger | PPC | 986 | 1,055.5 | |||
1-Lalonde, Marie-France | Lib | 44,183 | 40,706.0 | ✔ | ||
fptp.35077 |
This data can not be used to predict outcomes for individual candidates. | 1-Tannis, Eli | Con | 16,025 | 16,282.7 | |
1-Gay, Morgan | NDP | 10,457 | 11,154.4 | |||
1-Schram, Les | Grn | 3,645 | 3,766.3 | |||
1-Bolaños, Rodrigo André | PPC | 717 | 747.3 | |||
1-Bouragba, Ahmed | Ind | 141 | 141.0 | |||
1-Wasslen, Larry | Com | 99 | 99.0 | |||
1-Laith, Sarmad | Ind | 87 | 87.0 | |||
1-McGuinty, David | Lib | 34,205 | 32,689.0 | ✔ | ||
fptp.35078 |
This data can not be used to predict outcomes for individual candidates. | 1-Mercier, Stéphanie | NDP | 13,516 | 13,855.3 | |
1-Bernard, Joel E. | Con | 11,118 | 11,243.4 | |||
1-Ngabirano, Oriana | Grn | 4,796 | 4,855.0 | |||
1-Durst, Paul | PPC | 1,064 | 1,078.8 | |||
1-Miller, Derek | Oth | 229 | 229.0 | |||
1-Altman, Joel | Ind | 211 | 211.0 | |||
1-Paquette, Michelle | Com | 115 | 115.0 | |||
1-McHugh, Daniel James | Ind | 94 | 94.0 | |||
1-Legeais, Christian | M-L | 59 | 59.0 | |||
1-Fortier, Mona | Lib | 32,679 | 31,941.5 | ✔ | ||
fptp.35079 |
This data can not be used to predict outcomes for individual candidates. | 1-Abdi, Abdul | Con | 16,876 | 19,411.0 | |
1-Vandenbeld, Anita | Lib | 28,378 | 31,104.0 | ✔ | ||
1-MacEwen, Angella | NDP | 11,646 | 12,502.7 | |||
1-Stibbe, David | Grn | 3,894 | 3,894.0 | |||
1-Guevorkian, Serge | PPC | 839 | 839.0 | |||
1-Mulligan, Sean | CHP | 351 | 351.0 | |||
1-Cama, Vincent | Com | 103 | 103.0 | |||
1-Moore, Butch | Oth | 71 | 71.0 | |||
1-Lin, Nick | M-L | 48 | 48.0 | |||
fptp.35080 |
This data can not be used to predict outcomes for individual candidates. | 1-Chambers, Matthew | NDP | 12,306 | 19,451.8 | |
1-MacKenzie, Dave | Con | 29,310 | 30,446.5 | ✔ | ||
1-Knight, Brendan | Lib | 11,745 | 12,508.2 | |||
1-Birtch-Carriere, Lisa | Grn | 4,770 | 4,770.0 | |||
1-Martin, Wendy | PPC | 1,774 | 1,774.0 | |||
1-Aldred, Melody | CHP | 986 | 986.0 | |||
fptp.35081 |
This data can not be used to predict outcomes for individual candidates. | 1-Taylor, Paul | NDP | 19,180 | 21,601.4 | |
1-Virani, Arif | Lib | 28,852 | 30,444.5 | ✔ | ||
1-Pham, Adam | Con | 8,015 | 8,521.2 | |||
1-Capra, Nick | Grn | 3,916 | 3,916.0 | |||
1-Wycliffe, Greg | PPC | 643 | 643.0 | |||
1-Pabani, Alykhan | Com | 119 | 119.0 | |||
1-Parker, Terry | Oth | 119 | 119.0 | |||
1-Gershuny, Lorne | M-L | 43 | 43.0 | |||
fptp.35082 |
This data can not be used to predict outcomes for individual candidates. | 1-Aitchison, Scott | Con | 22,845 | 27,332.5 | ✔ |
1-Cowie, Trisha | Lib | 16,615 | 20,647.9 | |||
1-Miller, Gord | Grn | 8,409 | 9,564.1 | |||
1-Young, Tom | NDP | 6,417 | 6,417.0 | |||
1-Predie Jr, Daniel | Ind | 377 | 377.0 | |||
fptp.35083 |
This data can not be used to predict outcomes for individual candidates. | 1-Nater, John | Con | 25,622 | 27,648.0 | ✔ |
1-Mitchell, Pirie | Lib | 15,002 | 19,375.1 | |||
1-Krauter, Geoff | NDP | 8,094 | 9,182.8 | |||
1-Simmons, Collan | Grn | 4,949 | 4,949.0 | |||
1-Fuhr, Roger | PPC | 894 | 894.0 | |||
1-DeVries, Irma | CHP | 733 | 733.0 | |||
fptp.35084 |
This data can not be used to predict outcomes for individual candidates. | 1-Monsef, Maryam | Lib | 27,400 | 34,901.5 | ✔ |
1-Skinner, Michael | Con | 24,357 | 26,573.2 | |||
1-Shaw, Candace | NDP | 11,872 | 12,956.6 | |||
1-MacGregor, Andrew | Grn | 4,930 | 4,930.0 | |||
1-Murphy, Alexander | PPC | 890 | 890.0 | |||
1-Bowers, Robert M | Ind | 180 | 180.0 | |||
1-Ranney, Ken | Oth | 172 | 172.0 | |||
fptp.35085 |
This data can not be used to predict outcomes for individual candidates. | 1-Musarat, Cyma | Con | 18,462 | 18,570.5 | |
1-Higdon, Eileen | NDP | 7,582 | 7,875.7 | |||
1-Forint, Peter | Grn | 3,799 | 3,850.1 | |||
1-Chisu, Corneliu | PPC | 1,265 | 1,277.8 | |||
1-O'Connell, Jennifer | Lib | 32,387 | 31,748.5 | ✔ | ||
fptp.35086 |
This data can not be used to predict outcomes for individual candidates. | 1-Marini, Ruben | Lib | 11,532 | 11,724.1 | |
1-Jones-Whyte, Eileen | NDP | 8,786 | 9,074.1 | |||
1-Pineau, Ian | Grn | 3,230 | 3,390.1 | |||
1-Ainsworth, David | PPC | 1,463 | 1,655.1 | |||
1-Criger, Dan | Ind | 1,125 | 1,125.0 | |||
1-Kumar, Dheerendra | Ind | 917 | 917.0 | |||
1-Cherrin, Robert | Oth | 358 | 358.0 | |||
1-Klietsch, Stefan | Lbt | 266 | 266.0 | |||
1-Davis, Jonathan | Ind | 200 | 200.0 | |||
1-Gallant, Cheryl | Con | 31,080 | 29,479.5 | ✔ | ||
fptp.35087 |
This data can not be used to predict outcomes for individual candidates. | 1-Jowhari, Majid | Lib | 21,804 | 25,075.5 | ✔ |
1-Menegakis, Costas | Con | 21,592 | 22,455.4 | |||
1-DeVita, Adam | NDP | 4,425 | 4,797.9 | |||
1-Kohli, Ichha | Grn | 1,695 | 1,695.0 | |||
1-Tvorogov, Igor | PPC | 507 | 507.0 | |||
1-Wevers, Otto | Oth | 126 | 126.0 | |||
fptp.35088 |
This data can not be used to predict outcomes for individual candidates. | 1-Poilievre, Pierre | Con | 32,147 | 34,680.5 | ✔ |
1-Rodgers, Chris | Lib | 26,518 | 29,886.2 | |||
1-Hua, Kevin | NDP | 6,479 | 7,232.1 | |||
1-Kubanek, Gordon | Grn | 3,423 | 3,423.0 | |||
1-Musende, Alain | PPC | 792 | 792.0 | |||
fptp.35089 |
This data can not be used to predict outcomes for individual candidates. | 1-Bittle, Chris | Lib | 24,183 | 30,057.5 | ✔ |
1-Waler, Krystina | Con | 18,978 | 21,110.7 | |||
1-Van Meer, Dennis | NDP | 12,431 | 13,243.9 | |||
1-Mason, Travis | Grn | 3,695 | 3,695.0 | |||
1-DeRoo, Allan | PPC | 826 | 826.0 | |||
fptp.35090 |
This data can not be used to predict outcomes for individual candidates. | 1-Truesdell, Jae | Con | 12,933 | 13,370.9 | |
1-Mukherjee, Alok | NDP | 9,442 | 10,627.0 | |||
1-Climenhaga, Sarah | Grn | 4,042 | 4,248.1 | |||
1-Kellen, John | PPC | 923 | 974.5 | |||
1-Bennett, Carolyn | Lib | 32,494 | 29,918.0 | ✔ | ||
fptp.35091 |
This data can not be used to predict outcomes for individual candidates. | 1-Kilner, Adam | NDP | 12,644 | 12,669.2 | |
1-Lemieux, Carmen | Lib | 12,041 | 12,057.8 | |||
1-Smith, Peter Robert | Grn | 2,490 | 2,504.0 | |||
1-Gladu, Marilyn | Con | 28,623 | 28,959.0 | ✔ | ||
1-Everaert, Brian | PPC | 1,587 | 1,587.0 | |||
1-Laird, Thomas | CHP | 531 | 531.0 | |||
fptp.35092 |
This data can not be used to predict outcomes for individual candidates. | 1-Sheehan, Terry | Lib | 16,284 | 20,851.0 | ✔ |
1-Spina, Sonny | Con | 13,407 | 14,956.9 | |||
1-McCleary, Sara | NDP | 9,459 | 9,857.0 | |||
1-McLean, Geo | Grn | 1,809 | 1,809.0 | |||
1-Zuccato, Amy | PPC | 741 | 741.0 | |||
fptp.35093 |
This data can not be used to predict outcomes for individual candidates. | 1-Hu, Sean | Con | 15,492 | 15,527.2 | |
1-Julius, Larisa | NDP | 3,636 | 3,731.2 | |||
1-Ramdeen, Randi | Grn | 1,050 | 1,066.6 | |||
1-Internicola, Anthony | PPC | 521 | 525.1 | |||
1-Yip, Jean | Lib | 21,115 | 20,908.0 | ✔ | ||
fptp.35094 |
This data can not be used to predict outcomes for individual candidates. | 1-Chaudhry, Irshad | Con | 10,387 | 10,797.7 | |
1-Kamal, Faiz | NDP | 5,452 | 6,563.4 | |||
1-Cannis, John | Ind | 2,524 | 2,524.0 | |||
1-Hakimzadah, Dordana | Grn | 1,336 | 1,529.3 | |||
1-Vijeyaratnam, Jeremiah | PPC | 1,162 | 1,210.3 | |||
1-Zahid, Salma | Lib | 25,695 | 23,279.0 | ✔ | ||
fptp.35095 |
This data can not be used to predict outcomes for individual candidates. | 1-Thuraisingham, Quintus | Con | 9,553 | 10,360.7 | |
1-Spencer, Michelle | NDP | 4,806 | 6,991.5 | |||
1-McMahon, Tara | Grn | 1,220 | 1,600.1 | |||
1-Jani, Jigna | PPC | 648 | 743.0 | |||
1-Clarke, Kevin | Ind | 112 | 112.0 | |||
1-Stefanis, Gus | Oth | 85 | 85.0 | |||
1-Holding, Kathleen Marie | Ind | 70 | 70.0 | |||
1-Abara, Stephen | Ind | 70 | 70.0 | |||
1-Alvi, Farhan | Oth | 55 | 55.0 | |||
1-McKay, John | Lib | 26,123 | 21,372.0 | ✔ | ||
fptp.35096 |
This data can not be used to predict outcomes for individual candidates. | 1-Kong, David | Con | 11,838 | 12,074.6 | |
1-Chen, Yan | NDP | 5,039 | 5,679.1 | |||
1-Velez, Avery | Grn | 796 | 907.3 | |||
1-Guerrier, Jude | PPC | 370 | 397.8 | |||
1-Robinson, Janet | Oth | 83 | 83.0 | |||
1-Chen, Shaun | Lib | 20,911 | 19,519.5 | ✔ | ||
fptp.35097 |
This data can not be used to predict outcomes for individual candidates. | 1-Singh, Bobby | Con | 10,115 | 11,159.8 | |
1-Kwok, Kingsley | NDP | 5,801 | 8,628.2 | |||
1-Hamilton, Jessica | Grn | 2,330 | 2,821.7 | |||
1-Sally, Dilano | PPC | 467 | 589.9 | |||
1-Theodoru, Mark | CHP | 353 | 353.0 | |||
1-Anandasangaree, Gary | Lib | 31,360 | 25,214.0 | ✔ | ||
fptp.35098 |
This data can not be used to predict outcomes for individual candidates. | 1-Fawcett Smith, Kimberly | Con | 10,502 | 11,121.9 | |
1-McCrady, Keith | NDP | 7,865 | 9,542.4 | |||
1-Cain, Amanda | Grn | 2,477 | 2,768.7 | |||
1-Eratostene, Italo | PPC | 590 | 662.9 | |||
1-Luisi, Simon | Oth | 236 | 236.0 | |||
1-Blair, Bill | Lib | 28,965 | 25,318.5 | ✔ | ||
fptp.35099 |
This data can not be used to predict outcomes for individual candidates. | 1-Dowdall, Terry | Con | 32,812 | 37,755.5 | ✔ |
1-Kenney, Lorne | Lib | 23,925 | 28,843.1 | |||
1-Jackson, Sherri | Grn | 8,589 | 10,112.2 | |||
1-Matthews, Ilona | NDP | 8,462 | 8,462.0 | |||
1-Sommer, Richard | PPC | 1,416 | 1,416.0 | |||
1-D'Angelo, Tony | Oth | 305 | 305.0 | |||
fptp.35100 |
This data can not be used to predict outcomes for individual candidates. | 1-Stanton, Bruce | Con | 27,241 | 31,390.0 | ✔ |
1-Hawes, Gerry | Lib | 19,310 | 24,207.3 | |||
1-Belcourt, Angelique | NDP | 8,850 | 10,144.0 | |||
1-Powell, Valerie | Grn | 5,882 | 5,882.0 | |||
1-Makk, Stephen | PPC | 1,154 | 1,154.0 | |||
1-Brown, Chris | CHP | 341 | 341.0 | |||
fptp.35101 |
This data can not be used to predict outcomes for individual candidates. | 1-Yoon, Diana | NDP | 12,188 | 13,796.2 | |
1-Fang, Frank | Con | 10,680 | 11,274.3 | |||
1-Maher, Dean | Grn | 3,174 | 3,453.7 | |||
1-Stewart, Robert | PPC | 672 | 741.9 | |||
1-Ramirez, Marcela | Ind | 114 | 114.0 | |||
1-Vaughan, Adam | Lib | 33,822 | 30,326.0 | ✔ | ||
fptp.35102 |
This data can not be used to predict outcomes for individual candidates. | 1-Megill, Heather | Lib | 13,767 | 14,021.3 | |
1-Schmitz, Kelsey Catherine | NDP | 7,674 | 8,055.5 | |||
1-Aman, Raheem | Grn | 2,126 | 2,338.0 | |||
1-Trimm, Sabile | PPC | 1,168 | 1,422.3 | |||
1-Duncan, Eric | Con | 28,976 | 26,856.5 | ✔ | ||
fptp.35103 |
This data can not be used to predict outcomes for individual candidates. | 1-Lefebvre, Paul | Lib | 19,643 | 23,989.5 | ✔ |
1-Mairs, Beth | NDP | 13,885 | 16,463.6 | |||
1-St-Amant, Pierre | Con | 9,864 | 10,383.9 | |||
1-Crumplin, Bill | Grn | 3,225 | 3,225.0 | |||
1-Paterson, Sean | PPC | 873 | 873.0 | |||
1-Lalonde, Chanel | Oth | 282 | 282.0 | |||
1-Sylvestre, Charlene | Ind | 135 | 205.0 | |||
1-Popescu, J. David | Ind | 70 | 70.0 | |||
fptp.35104 |
This data can not be used to predict outcomes for individual candidates. | 1-Gladstone, Gary | Lib | 18,946 | 19,238.6 | |
1-Petrucci, Sara | NDP | 3,469 | 3,907.8 | |||
1-Rachlis, Josh | Grn | 1,600 | 1,843.8 | |||
1-Bregman, Nathan | Oth | 217 | 217.0 | |||
1-Malik, Waseem | Oth | 77 | 77.0 | |||
1-Kent, Peter | Con | 29,187 | 26,749.0 | ✔ | ||
fptp.35105 |
This data can not be used to predict outcomes for individual candidates. | 1-Powlowski, Marcus | Lib | 14,498 | 20,526.5 | ✔ |
1-Rydholm, Linda | Con | 12,039 | 13,889.2 | |||
1-Won, Yuk-Sem | NDP | 11,944 | 12,346.4 | |||
1-Moddejonge, Amanda | Grn | 1,829 | 1,829.0 | |||
1-Hartnell, Andrew | PPC | 741 | 741.0 | |||
fptp.35106 |
This data can not be used to predict outcomes for individual candidates. | 1-Pullia, Frank | Con | 11,036 | 12,970.7 | |
1-Hajdu, Patricia | Lib | 18,502 | 21,589.5 | ✔ | ||
1-Achneepineskum, Anna Betty | NDP | 9,126 | 9,926.6 | |||
1-Hyer, Bruce | Grn | 3,639 | 3,639.0 | |||
1-Khanjari, Youssef | PPC | 734 | 734.0 | |||
1-Vodden, Alexander | Lbt | 140 | 140.0 | |||
fptp.35107 |
This data can not be used to predict outcomes for individual candidates. | 1-Grenke, Kraymr | Con | 9,907 | 12,168.7 | |
1-Angus, Charlie | NDP | 14,885 | 18,371.0 | ✔ | ||
1-Boileau, Michelle | Lib | 9,443 | 9,644.1 | |||
1-Kennedy, Max | Grn | 1,257 | 1,257.0 | |||
1-Roy, Renaud | PPC | 1,248 | 1,248.0 | |||
fptp.35108 |
This data can not be used to predict outcomes for individual candidates. | 1-Chang, Brian | NDP | 12,142 | 19,250.1 | |
1-Paul, Annamie | Grn | 8,250 | 13,152.3 | |||
1-Morneau, Bill | Lib | 31,271 | 39,858.5 | ✔ | ||
1-Ien, Marci | Lib | 10,579 | 11,066.8 | |||
1-Lester, Ryan | Con | 6,613 | 8,129.3 | |||
1-Brian, Chang | NDP | 4,280 | 4,280.0 | |||
1-Paul, Annamie | Grn | 3,852 | 3,852.0 | |||
1-Gauri Sharma, Benjamin | Con | 1,435 | 1,475.7 | |||
1-Lewin, Rob | Oth | 182 | 459.0 | |||
1-Bawa, Baljit | PPC | 271 | 271.0 | |||
1-Tavares, Jason | Ind | 126 | 249.0 | |||
1-Carson, Sean | Oth | 147 | 212.0 | |||
1-Komar, Keith | Lbt | 135 | 135.0 | |||
1-Cragg, Bronwyn | Com | 125 | 125.0 | |||
1-Clarke, Kevin | Ind | 123 | 123.0 | |||
1-Cappelletti, Dwayne | Oth | 74 | 92.7 | |||
1-Znoneofthe, Above | Oth | 56 | 56.0 | |||
1-Fernandez, Philip | M-L | 54 | 54.0 | |||
fptp.35109 |
This data can not be used to predict outcomes for individual candidates. | 1-Lee, Min Sook | NDP | 19,283 | 21,313.6 | |
1-Dabrusin, Julie | Lib | 27,681 | 29,030.5 | ✔ | ||
1-Choudhary, Zia | Con | 6,091 | 6,578.2 | |||
1-Tolley, Chris | Grn | 3,761 | 3,761.0 | |||
1-Dos Remedios, Tara | PPC | 621 | 621.0 | |||
1-Abbott, Elizabeth | Oth | 261 | 261.0 | |||
1-Kladitis, John | Ind | 210 | 210.0 | |||
1-Byard, Ivan | Com | 151 | 151.0 | |||
fptp.35110 |
This data can not be used to predict outcomes for individual candidates. | 1-Jean-Baptiste Vajda, Melissa | NDP | 12,573 | 13,012.5 | |
1-Tingling, Helen-Claire | Con | 9,342 | 9,504.4 | |||
1-Grant, Tim | Grn | 4,861 | 4,937.4 | |||
1-Lockwood, Aran | PPC | 510 | 529.1 | |||
1-White, Liz | Oth | 159 | 159.0 | |||
1-Garvie, Drew | Com | 143 | 143.0 | |||
1-Brothers, Karin | Oth | 124 | 124.0 | |||
1-Rutchinski, Steve | M-L | 27 | 27.0 | |||
1-Freeland, Chrystia | Lib | 29,652 | 28,696.5 | ✔ | ||
fptp.35111 |
This data can not be used to predict outcomes for individual candidates. | 1-Kruze, Teresa | Con | 18,289 | 18,398.7 | |
1-DeVita, Peter | NDP | 3,910 | 4,206.7 | |||
1-Fronte, Raquel | Grn | 1,302 | 1,353.6 | |||
1-Montesano, Domenic | PPC | 852 | 864.9 | |||
1-Khan, Muhammad Hassan | Ind | 165 | 165.0 | |||
1-Sorbara, Francesco | Lib | 25,810 | 25,165.0 | ✔ | ||
fptp.35112 |
This data can not be used to predict outcomes for individual candidates. | 1-Zhang, Jerry | Con | 15,615 | 16,480.8 | |
1-Campbell, Lori | NDP | 9,710 | 11,171.9 | |||
1-Chagger, Bardish | Lib | 31,085 | 31,854.0 | ✔ | ||
1-Wright, Kirsten | Grn | 6,184 | 6,184.0 | |||
1-Traub, Erika | PPC | 1,112 | 1,112.0 | |||
fptp.35113 |
This data can not be used to predict outcomes for individual candidates. | 1-Barron, Lesley | Lib | 19,777 | 23,943.4 | |
1-Chong, Michael D. | Con | 33,044 | 34,841.0 | ✔ | ||
1-Martin, Ralph | Grn | 8,851 | 10,020.8 | |||
1-Bascombe, Andrew | NDP | 6,499 | 6,499.0 | |||
1-Carle, Syl | PPC | 1,509 | 1,509.0 | |||
fptp.35114 |
This data can not be used to predict outcomes for individual candidates. | 1-McCarthy, Todd | Con | 24,564 | 26,450.9 | |
1-Turnbull, Ryan | Lib | 30,182 | 34,551.5 | ✔ | ||
1-Dias, Brian | NDP | 9,760 | 10,581.7 | |||
1-Slavchenko, Paul | Grn | 3,735 | 3,735.0 | |||
1-Pejic, Mirko | PPC | 860 | 860.0 | |||
fptp.35115 |
This data can not be used to predict outcomes for individual candidates. | 1-Lee, Daniel | Con | 16,452 | 17,579.6 | |
1-Ehsassi, Ali | Lib | 22,282 | 22,736.0 | ✔ | ||
1-Kalsi, Leah | NDP | 4,231 | 4,598.6 | |||
1-Vettese, Sharolyn | Grn | 1,671 | 1,671.0 | |||
1-Hillier, Richard | PPC | 563 | 563.0 | |||
1-Ahluwalia, Birinder Singh | Ind | 200 | 271.0 | |||
1-Ziaian, Shodja | Ind | 71 | 71.0 | |||
fptp.35116 |
This data can not be used to predict outcomes for individual candidates. | 1-Hardcastle, Cheryl | NDP | 18,417 | 28,479.5 | ✔ |
1-Kusmierczyk, Irek | Lib | 19,046 | 21,363.4 | |||
1-Demarce, Leo | Con | 15,851 | 16,408.9 | |||
1-Abati, Giovanni | Grn | 2,177 | 2,177.0 | |||
1-Burr, Dan | PPC | 1,279 | 1,279.0 | |||
1-Chesnik, Laura | M-L | 187 | 187.0 | |||
fptp.35117 |
This data can not be used to predict outcomes for individual candidates. | 1-Masse, Brian | NDP | 20,800 | 25,982.0 | ✔ |
1-Pupatello, Sandra | Lib | 18,878 | 20,328.2 | |||
1-Lau, Henry | Con | 9,925 | 10,318.4 | |||
1-Hunt, Quinn | Grn | 1,325 | 1,325.0 | |||
1-Burrell, Darryl | PPC | 958 | 958.0 | |||
1-Villamizar, Margaret | M-L | 76 | 76.0 | |||
fptp.35118 |
This data can not be used to predict outcomes for individual candidates. | 1-Willson, Rachel | Con | 15,852 | 24,742.3 | |
1-Levitt, Michael | Lib | 21,680 | 30,623.0 | ✔ | ||
1-Saks, Ya'ara | Lib | 8,253 | 9,515.0 | |||
1-Tiangson, Julius | Con | 7,552 | 8,065.3 | |||
1-Vásquez Jiménez, Andrea | NDP | 4,251 | 5,707.1 | |||
1-Wood, Rebecca | Grn | 1,403 | 1,864.0 | |||
1-Vásquez Jiménez , Andrea | NDP | 1,046 | 1,046.0 | |||
1-Bernier, Maxime | PPC | 642 | 642.0 | |||
1-Zavarella, Sasha | Grn | 461 | 461.0 | |||
1-Turmel, John The Engineer | Ind | 104 | 104.0 | |||
fptp.35119 |
This data can not be used to predict outcomes for individual candidates. | 1-Davidson, Scot | Con | 24,918 | 26,891.5 | ✔ |
1-Wesley-Esquimaux, Cynthia | Lib | 14,407 | 18,521.8 | |||
1-McLean, Jessa | NDP | 7,620 | 8,643.0 | |||
1-Arnold, Jonathan | Grn | 4,650 | 4,650.0 | |||
1-Komar, Keith | Lbt | 1,311 | 1,311.0 | |||
1-Lotter, Michael | PPC | 875 | 875.0 | |||
fptp.35120 |
This data can not be used to predict outcomes for individual candidates. | 1-Rattan, Jasveen | Con | 8,415 | 9,051.4 | |
1-Tewelde, Yafet | NDP | 7,754 | 9,476.0 | |||
1-Ward, Nicki | Grn | 1,633 | 1,932.5 | |||
1-Racine, Gerard | PPC | 685 | 759.9 | |||
1-Hussen, Ahmed | Lib | 25,976 | 22,232.5 | ✔ | ||
fptp.35121 |
This data can not be used to predict outcomes for individual candidates. | 1-Augimeri, Maria | NDP | 7,198 | 9,133.2 | |
1-Choudry, Iftikhar | Con | 6,164 | 6,879.2 | |||
1-Schmitz, Mike | Grn | 804 | 1,140.6 | |||
1-Krosinska, Ania | PPC | 402 | 486.1 | |||
1-Smith, Stenneth | Oth | 114 | 114.0 | |||
1-Nugent, Christine | M-L | 89 | 89.0 | |||
1-Sgro, Judy | Lib | 23,187 | 18,980.0 | ✔ |
Prince Edward Island
Region: R_PE
Riding ID | Composed from | Candidate | Party | Votes | Eff Votes | |
---|---|---|---|---|---|---|
fptp.11001 |
This data can not be used to predict outcomes for individual candidates. | 1-Phelan, Wayne | Con | 6,439 | 6,690.2 | |
1-Beaton, Glen | Grn | 3,068 | 3,369.1 | |||
1-MacAulay, Lawrence | Lib | 10,939 | 11,084.5 | ✔ | ||
1-Thiele, Lynne | NDP | 1,481 | 1,481.0 | |||
1-Squires, Christene | CHP | 240 | 240.0 | |||
fptp.11002 |
This data can not be used to predict outcomes for individual candidates. | 1-Lanthier, Darcie | Grn | 4,648 | 5,501.4 | |
1-Casey, Sean | Lib | 8,812 | 9,956.0 | ✔ | ||
1-Campbell, Robert A. | Con | 4,040 | 4,308.6 | |||
1-Byrne, Joe | NDP | 2,238 | 2,238.0 | |||
1-MacLeod, Fred | CHP | 172 | 172.0 | |||
fptp.11003 |
This data can not be used to predict outcomes for individual candidates. | 1-Morrissey, Robert | Lib | 8,016 | 10,061.1 | ✔ |
1-McLellan, Logan | Con | 6,934 | 7,419.2 | |||
1-Clark, Alex | Grn | 3,998 | 4,219.4 | |||
1-Dunn, Sharon | NDP | 1,230 | 1,230.0 | |||
fptp.11004 |
This data can not be used to predict outcomes for individual candidates. | 1-Easter, Wayne | Lib | 9,533 | 11,520.5 | ✔ |
1-Keenan, Anna | Grn | 6,103 | 6,980.8 | |||
1-Stewart, Stephen | Con | 5,908 | 6,087.4 | |||
1-Nash, Craig | NDP | 1,495 | 1,495.0 |
Quebec
Region: R_QC
Riding ID | Composed from | Candidate | Party | Votes | Eff Votes | |
---|---|---|---|---|---|---|
fptp.24001 |
This data can not be used to predict outcomes for individual candidates. | 1-Bérubé, Sylvie | Bloc | 11,432 | 12,281.2 | ✔ |
1-Bergeron, Isabelle | Lib | 8,963 | 11,562.7 | |||
1-Ferron, Martin | Con | 5,240 | 5,968.6 | |||
1-Rouleau, Jacline | NDP | 4,104 | 4,357.2 | |||
1-Cabana-Whiteley, Kiara | Grn | 1,151 | 1,151.0 | |||
1-Simon, Daniel | Oth | 387 | 387.0 | |||
1-Lanouette, Guillaume | PPC | 379 | 379.0 | |||
fptp.24002 |
This data can not be used to predict outcomes for individual candidates. | 1-Lemire, Sébastien | Bloc | 22,803 | 24,012.2 | ✔ |
1-Thibault, Claude | Lib | 12,417 | 15,868.7 | |||
1-Provencher, Mario | Con | 7,537 | 8,487.7 | |||
1-Guimond, Alain | NDP | 5,093 | 5,493.0 | |||
1-Bégin, Aline | Grn | 1,818 | 1,818.0 | |||
1-Girard, Jacques | PPC | 487 | 487.0 | |||
fptp.24003 |
This data can not be used to predict outcomes for individual candidates. | 1-Parizeau, André | Bloc | 11,974 | 12,001.0 | |
1-El-Masri, Zahia | NDP | 6,284 | 6,903.9 | |||
1-Laframboise, Kathy | Con | 4,013 | 4,242.1 | |||
1-Lavarenne, Jean-Michel | Grn | 3,352 | 3,459.8 | |||
1-Ayas, Raymond | PPC | 584 | 611.0 | |||
1-Joly, Mélanie | Lib | 28,904 | 27,556.5 | ✔ | ||
fptp.24004 |
This data can not be used to predict outcomes for individual candidates. | 1-Lachance, Michel | Bloc | 15,549 | 15,952.4 | |
1-Esposito, Angelo | Con | 5,917 | 6,920.1 | |||
1-Iacono, Angelo | Lib | 26,015 | 27,155.5 | ✔ | ||
1-Kocini, Andriana | NDP | 4,109 | 4,539.8 | |||
1-Howells, Marguerite | Grn | 1,958 | 1,958.0 | |||
1-Couture, Matthieu | PPC | 471 | 471.0 | |||
1-Buté, Julius | Oth | 177 | 177.0 | |||
1-Cappelletti, Dwayne | Ind | 113 | 113.0 | |||
fptp.24005 |
This data can not be used to predict outcomes for individual candidates. | 1-Lauzon, Stéphane | Lib | 18,896 | 24,999.5 | ✔ |
1-Destroismaisons, Yves | Bloc | 18,167 | 19,032.5 | |||
1-Louis-Seize, Marie | Con | 6,044 | 6,967.8 | |||
1-Boucher Smoley, Charlotte | NDP | 3,758 | 4,288.4 | |||
1-Valiquette, Marjorie | Grn | 2,411 | 2,411.0 | |||
1-Edwards, Sherwin | PPC | 721 | 721.0 | |||
fptp.24006 |
This data can not be used to predict outcomes for individual candidates. | 1-Massé, Rémi | Lib | 12,188 | 12,291.0 | |
1-Tremblay, Natasha | Con | 2,756 | 2,874.5 | |||
1-Côté, Rémi-Jocelyn | NDP | 1,435 | 1,486.5 | |||
1-Morrison, James | Grn | 699 | 771.1 | |||
1-Barnabé, Éric | PPC | 210 | 210.0 | |||
1-Castonguay, Mathieu | Oth | 180 | 180.0 | |||
1-Michaud, Kristina | Bloc | 18,500 | 17,985.0 | ✔ | ||
fptp.24007 |
This data can not be used to predict outcomes for individual candidates. | 1-Lehoux, Richard | Con | 22,860 | 29,715.5 | ✔ |
1-Bernier, Maxime | PPC | 16,796 | 17,022.1 | |||
1-Rodrigue, Guillaume | Bloc | 8,410 | 8,833.5 | |||
1-Veilleux, Adam | Lib | 6,971 | 8,050.4 | |||
1-Jacques-Côté, François | NDP | 1,847 | 2,168.4 | |||
1-Fortin, Josiane | Grn | 1,461 | 1,461.0 | |||
1-Bernier, Maxime | Oth | 1,084 | 1,084.0 | |||
fptp.24008 |
This data can not be used to predict outcomes for individual candidates. | 1-Bujold, Antoine | Lib | 13,020 | 20,744.2 | ✔ |
1-Vignola, Julie | Bloc | 15,149 | 16,453.0 | |||
1-Clarke, Alupa | Con | 13,185 | 14,393.1 | |||
1-Beaudet, Simon-Pierre | NDP | 5,599 | 6,066.9 | |||
1-Elhak, Dalila | Grn | 2,127 | 2,127.0 | |||
1-Bédard, Alicia | PPC | 1,033 | 1,033.0 | |||
1-Moreau, Claude | M-L | 78 | 78.0 | |||
fptp.24009 |
This data can not be used to predict outcomes for individual candidates. | 1-Rochefort, Nathalie | Lib | 9,332 | 10,028.7 | |
1-Émond, Pierre-André | Con | 8,434 | 9,235.2 | |||
1-Lennard, Carole | NDP | 2,732 | 3,080.4 | |||
1-Turcotte, David | Grn | 1,697 | 2,184.7 | |||
1-Synnott, Richard | PPC | 489 | 489.0 | |||
1-Plamondon, Louis | Bloc | 29,653 | 26,169.5 | ✔ | ||
fptp.24010 |
This data can not be used to predict outcomes for individual candidates. | 1-Bouchard-Théberge, Sébastien | Bloc | 14,754 | 14,757.5 | |
1-Harvey, Laurence | Lib | 10,734 | 10,741.0 | |||
1-Chamroeun, Khuon | NDP | 3,256 | 3,266.5 | |||
1-Voyer, André | Grn | 1,925 | 1,930.9 | |||
1-Johnston, Marc | PPC | 1,307 | 1,314.0 | |||
1-Gilbert, Yves | CHP | 188 | 188.0 | |||
1-Blaney, Steven | Con | 32,283 | 32,224.5 | ✔ | ||
fptp.24011 |
This data can not be used to predict outcomes for individual candidates. | 1-Hamel, Marie-Chantal | Lib | 16,059 | 16,123.4 | |
1-Dubé, Matthew | NDP | 10,086 | 10,118.2 | |||
1-Laprise, Véronique | Con | 4,305 | 4,379.1 | |||
1-Carrier, Pierre | Grn | 3,255 | 3,300.1 | |||
1-Bernard, Chloé | PPC | 512 | 512.0 | |||
1-Blondin, Michel | Oth | 205 | 205.0 | |||
1-Blanchet, Yves-François | Bloc | 35,068 | 34,746.0 | ✔ | ||
fptp.24012 |
This data can not be used to predict outcomes for individual candidates. | 1-Brosseau, Ruth Ellen | NDP | 19,698 | 27,184.9 | ✔ |
1-Perron, Yves | Bloc | 21,200 | 21,886.1 | |||
1-Poirier, Christine | Lib | 7,796 | 8,679.8 | |||
1-Bélanger, Josée | Con | 5,812 | 6,021.0 | |||
1-Laferrière, Éric | Grn | 1,008 | 1,008.0 | |||
1-Massé, Luc | PPC | 428 | 428.0 | |||
1-Jubinville, Martin Acetaria Caesar | Oth | 151 | 258.0 | |||
1-Bélanger, Alain | Ind | 154 | 154.0 | |||
1-Légaré, Danny | Oth | 107 | 107.0 | |||
fptp.24013 |
This data can not be used to predict outcomes for individual candidates. | 1-Chabot, Louise | Bloc | 24,486 | 25,847.2 | ✔ |
1-Ayoub, Ramez | Lib | 20,988 | 24,125.5 | |||
1-Fournier, Marie Claude | Con | 5,264 | 6,193.9 | |||
1-Wolker, Hannah | NDP | 4,431 | 5,027.2 | |||
1-Beaudet, Normand | Grn | 2,710 | 2,710.0 | |||
1-Mounanga, Désiré | PPC | 366 | 366.0 | |||
1-Lamontagne, Alain | Oth | 215 | 215.0 | |||
1-Piano, Andy | Ind | 89 | 89.0 | |||
fptp.24014 |
This data can not be used to predict outcomes for individual candidates. | 1-Chalifoux, Simon | Lib | 17,333 | 17,456.3 | |
1-Daviault, Mathieu | Con | 4,910 | 5,051.8 | |||
1-English, Sean | NDP | 4,192 | 4,253.7 | |||
1-Gariépy, Dany | Grn | 2,955 | 3,041.3 | |||
1-Albert, Clifford | PPC | 384 | 384.0 | |||
1-Barsalou-Duval, Xavier | Bloc | 31,009 | 30,392.5 | ✔ | ||
fptp.24015 |
This data can not be used to predict outcomes for individual candidates. | 1-Lavoie, Anne-Marie | Bloc | 9,043 | 9,104.1 | |
1-Lamour, Konrad | NDP | 3,204 | 4,609.1 | |||
1-Lefebvre, Catherine | Con | 2,899 | 3,418.3 | |||
1-Ashe, Payton | Grn | 1,343 | 1,587.4 | |||
1-Léger, Louis | PPC | 347 | 408.1 | |||
1-Di Iorio, Joseph | Ind | 212 | 212.0 | |||
1-Roy, Françoise | M-L | 72 | 72.0 | |||
1-Dubourg, Emmanuel | Lib | 23,231 | 20,176.5 | ✔ | ||
fptp.24016 |
This data can not be used to predict outcomes for individual candidates. | 1-Bessette, Lyne | Lib | 23,450 | 30,721.5 | ✔ |
1-Allard, Monique | Bloc | 21,152 | 22,285.9 | |||
1-Côté, Bruno | Con | 7,697 | 8,771.6 | |||
1-Jetté, Sylvie | NDP | 4,887 | 5,613.4 | |||
1-Dallaire, Normand | Grn | 3,302 | 3,302.0 | |||
1-Cloutier, Steeve | Oth | 310 | 497.0 | |||
1-Poulin, François | PPC | 456 | 456.0 | |||
1-Cotton, Lawrence | Oth | 187 | 187.0 | |||
fptp.24017 |
This data can not be used to predict outcomes for individual candidates. | 1-Diotte, Marie-Claude | Bloc | 11,131 | 11,175.2 | |
1-Hoa, Glenn | Con | 6,112 | 6,487.7 | |||
1-Audet, Marc | NDP | 5,410 | 6,426.6 | |||
1-De Luca, Grégory | Grn | 2,935 | 3,111.8 | |||
1-Nassif, Sam | PPC | 527 | 571.2 | |||
1-Mendès, Alexandra | Lib | 30,537 | 28,327.0 | ✔ | ||
fptp.24018 |
This data can not be used to predict outcomes for individual candidates. | 1-Caron, Guy | NDP | 13,050 | 20,715.9 | ✔ |
1-Blanchette-Joncas, Maxime | Bloc | 17,314 | 17,904.7 | |||
1-Pilon, Chantal | Lib | 10,095 | 10,731.9 | |||
1-Brassard-Fortin, Nancy | Con | 4,073 | 4,208.5 | |||
1-Rioux, Jocelyn | Grn | 824 | 824.0 | |||
1-Lacombe, Pierre | PPC | 232 | 232.0 | |||
1-Picker-Paquin, Lysane | Oth | 179 | 179.0 | |||
fptp.24019 |
This data can not be used to predict outcomes for individual candidates. | 1-Paul-Hus, Pierre | Con | 22,484 | 29,549.0 | ✔ |
1-D'Eer, Alain | Bloc | 16,053 | 16,756.6 | |||
1-Coly, René-Paul | Lib | 12,584 | 14,862.0 | |||
1-Bourdeau, Guillaume | NDP | 4,554 | 5,003.2 | |||
1-Moisan-Domm, Samuel | Grn | 2,042 | 2,042.0 | |||
1-Pronovost, Joey | PPC | 1,379 | 1,379.0 | |||
fptp.24020 |
This data can not be used to predict outcomes for individual candidates. | 1-Desbiens, Caroline | Bloc | 18,407 | 19,987.5 | ✔ |
1-Boucher, Sylvie | Con | 15,044 | 17,890.9 | |||
1-Fortin, Manon | Lib | 10,608 | 12,049.0 | |||
1-Briand, Gérard | NDP | 2,841 | 3,139.1 | |||
1-Guertin, Richard | Grn | 1,355 | 1,355.0 | |||
1-Bernier, Raymond | Oth | 1,335 | 1,335.0 | |||
1-Parent, Jean-Claude | PPC | 1,045 | 1,045.0 | |||
fptp.24021 |
This data can not be used to predict outcomes for individual candidates. | 1-Shanahan, Brenda | Lib | 20,118 | 26,202.0 | ✔ |
1-Valdivia, Claudia | Bloc | 19,479 | 20,259.3 | |||
1-Laplante, Hugues | Con | 5,851 | 6,705.7 | |||
1-Lalime, Marika | NDP | 4,005 | 4,429.4 | |||
1-Haddad, Meryam | Grn | 1,929 | 1,929.0 | |||
1-Benoit, Jeff | PPC | 563 | 563.0 | |||
1-Gagnon, Marc | Oth | 393 | 393.0 | |||
1-Chénier, Pierre | M-L | 64 | 64.0 | |||
fptp.24022 |
This data can not be used to predict outcomes for individual candidates. | 1-Martel, Richard | Con | 16,155 | 21,903.4 | ✔ |
1-Tremblay, Valérie | Bloc | 15,321 | 15,771.6 | |||
1-Dautovic, Dajana | Lib | 7,504 | 8,958.6 | |||
1-Girard, Stéphane | NDP | 2,855 | 3,160.4 | |||
1-Youde, Lynda | Grn | 1,388 | 1,388.0 | |||
1-Voyer, Jimmy | PPC | 359 | 359.0 | |||
1-Bélanger, Line | Oth | 299 | 299.0 | |||
fptp.24023 |
This data can not be used to predict outcomes for individual candidates. | 1-Bibeau, Marie-Claude | Lib | 21,731 | 29,119.5 | ✔ |
1-Benoît, David | Bloc | 18,571 | 19,730.2 | |||
1-Mc Neil, Jessy | Con | 8,446 | 9,618.5 | |||
1-Mathieu Chauvette, Naomie | NDP | 5,607 | 6,276.7 | |||
1-Rousseau, Jean | Grn | 3,044 | 3,044.0 | |||
1-Reed, Paul | PPC | 586 | 586.0 | |||
1-Therrien, Jonathan | Oth | 252 | 252.0 | |||
fptp.24024 |
This data can not be used to predict outcomes for individual candidates. | 1-Vaudry, Jean-Frédéric | Bloc | 8,974 | 9,004.7 | |
1-Morrison, Lori | NDP | 6,207 | 6,912.2 | |||
1-Laquerre, Céline | Con | 5,543 | 5,803.6 | |||
1-Malette, Réjean | Grn | 2,898 | 3,020.6 | |||
1-Torbati, Arash | PPC | 528 | 558.7 | |||
1-Hu, Fang | Oth | 426 | 426.0 | |||
1-Watso, Xavier | Oth | 177 | 177.0 | |||
1-Dhillon, Anju | Lib | 27,821 | 26,288.0 | ✔ | ||
fptp.24025 |
This data can not be used to predict outcomes for individual candidates. | 1-Champoux, Martin | Bloc | 24,574 | 25,957.2 | ✔ |
1-Morales, William | Lib | 9,552 | 14,665.5 | |||
1-Ebacher, Jessica | Con | 9,083 | 10,483.9 | |||
1-Choquette, François | NDP | 8,716 | 9,124.3 | |||
1-Bernier, Frédérik | Grn | 1,856 | 1,856.0 | |||
1-Paquet, Steeve | PPC | 525 | 525.0 | |||
1-Batrhino, Réal | Oth | 270 | 518.0 | |||
1-Munger, Lucas | Oth | 248 | 248.0 | |||
fptp.24026 |
This data can not be used to predict outcomes for individual candidates. | 1-Lebouthillier, Diane | Lib | 16,296 | 19,191.0 | ✔ |
1-Bernatchez, Guy | Bloc | 15,659 | 16,072.4 | |||
1-Pigeon, Jean-Pierre | Con | 3,022 | 3,408.3 | |||
1-Beaulieu, Lynn | NDP | 1,722 | 1,970.6 | |||
1-Drainville, Dennis | Grn | 1,130 | 1,130.0 | |||
1-Cowboy, Jay | Oth | 353 | 353.0 | |||
1-Hébert, Eric | PPC | 198 | 198.0 | |||
fptp.24027 |
This data can not be used to predict outcomes for individual candidates. | 1-Nadeau, Geneviève | Bloc | 11,926 | 11,949.8 | |
1-Chaurette, Eric | NDP | 6,128 | 6,676.1 | |||
1-Goneau, Sylvie | Con | 5,745 | 5,947.6 | |||
1-Dostaler, Guy | Grn | 2,264 | 2,359.3 | |||
1-Lam, Mario-Roberto | PPC | 560 | 583.8 | |||
1-Soublière, Pierre | M-L | 76 | 76.0 | |||
1-MacKinnon, Steven | Lib | 29,084 | 27,892.5 | ✔ | ||
fptp.24028 |
This data can not be used to predict outcomes for individual candidates. | 1-Martinez Ferrada, Soraya | Lib | 18,008 | 26,519.5 | ✔ |
1-Marchand, Simon | Bloc | 17,680 | 18,510.4 | |||
1-Roy-Goyette, Catheryn | NDP | 11,451 | 12,530.8 | |||
1-Morais, Robert D. | Grn | 2,618 | 2,867.4 | |||
1-Marcoux, Christine | Con | 2,381 | 2,494.1 | |||
1-Balatsko, Stepan | PPC | 377 | 377.0 | |||
1-Blais-Leduc, Chinook | Oth | 314 | 314.0 | |||
1-Dandenault, Christine | M-L | 107 | 107.0 | |||
1-Fortin, JP | Com | 101 | 101.0 | |||
fptp.24029 |
This data can not be used to predict outcomes for individual candidates. | 1-Binette, Jacques | Bloc | 9,979 | 10,066.2 | |
1-Croteau, Guy | Con | 4,808 | 5,549.3 | |||
1-Pham, Chu Anh | NDP | 4,130 | 6,135.8 | |||
1-Cusmano, Domenico | Grn | 1,373 | 1,721.8 | |||
1-St-Onge, Patrick | PPC | 459 | 546.2 | |||
1-Le Seigle, Yves | M-L | 71 | 71.0 | |||
1-Rodriguez, Pablo | Lib | 29,543 | 25,182.5 | ✔ | ||
fptp.24030 |
This data can not be used to predict outcomes for individual candidates. | 1-Riopel, Joanie | Bloc | 8,011 | 8,055.7 | |
1-Thibodeau, Nicolas | NDP | 7,467 | 8,494.9 | |||
1-Duggan, Mike | Con | 4,979 | 5,358.9 | |||
1-Poirier Defoy, Josée | Grn | 3,869 | 4,047.8 | |||
1-Tanguay, Rowen | PPC | 638 | 682.7 | |||
1-Grenier, Sébastien | Oth | 195 | 195.0 | |||
1-Deschênes, Alexandre | M-L | 102 | 102.0 | |||
1-Fergus, Greg | Lib | 29,732 | 27,497.5 | ✔ | ||
fptp.24031 |
This data can not be used to predict outcomes for individual candidates. | 1-Bourgeois, Michel | Lib | 12,995 | 13,942.9 | |
1-Masse, Jean-Martin | Con | 5,176 | 6,266.1 | |||
1-Soumaoro, Julienne | NDP | 2,623 | 3,097.0 | |||
1-Poirier, Érica | Grn | 2,343 | 3,006.5 | |||
1-Prescott, Sylvain | PPC | 498 | 498.0 | |||
1-Savard, Paul | Oth | 474 | 474.0 | |||
1-Ste-Marie, Gabriel | Bloc | 33,590 | 28,850.5 | ✔ | ||
fptp.24032 |
This data can not be used to predict outcomes for individual candidates. | 1-Simard, Mario | Bloc | 17,577 | 18,967.4 | ✔ |
1-Trudel, Karine | NDP | 12,141 | 18,192.7 | |||
1-Gagnon, Philippe | Con | 10,338 | 11,916.4 | |||
1-Garneau, Vincent | Lib | 7,849 | 8,010.4 | |||
1-Bourdages, Lyne | Grn | 1,009 | 1,009.0 | |||
1-Théodore, Sylvie | PPC | 453 | 453.0 | |||
fptp.24033 |
This data can not be used to predict outcomes for individual candidates. | 1-Beaulieu, Mario | Bloc | 26,010 | 27,107.3 | ✔ |
1-Plamondon, Jonathan | Lib | 16,898 | 20,538.7 | |||
1-Péclet, Ève | NDP | 6,057 | 7,242.8 | |||
1-Coutu, Robert | Con | 3,984 | 4,253.2 | |||
1-Fiori, Franco | Grn | 1,910 | 1,910.0 | |||
1-Manseau, Randy | PPC | 388 | 388.0 | |||
1-Lafrenaye, Jacinthe | Oth | 199 | 199.0 | |||
1-Royer, Geneviève | M-L | 88 | 88.0 | |||
fptp.24034 |
This data can not be used to predict outcomes for individual candidates. | 1-Therrien, Alain | Bloc | 25,707 | 27,103.2 | ✔ |
1-Poissant, Jean-Claude | Lib | 22,504 | 25,764.6 | |||
1-Lapointe, Isabelle | Con | 5,540 | 6,500.1 | |||
1-Hernandez, Victoria | NDP | 4,744 | 5,308.3 | |||
1-Joannette, Barbara | Grn | 2,565 | 2,565.0 | |||
1-Yablunovsky, Gregory | PPC | 393 | 393.0 | |||
1-Chouinard, Normand | M-L | 100 | 100.0 | |||
fptp.24035 |
This data can not be used to predict outcomes for individual candidates. | 1-Brunelle-Duceppe, Alexis | Bloc | 23,839 | 25,167.6 | ✔ |
1-Hébert, Richard | Lib | 13,633 | 16,528.9 | |||
1-Fradette, Jocelyn | Con | 12,544 | 13,116.2 | |||
1-Fortin, Jean-Simon | NDP | 2,753 | 2,975.2 | |||
1-Gagnon-Bond, Julie | Grn | 1,010 | 1,010.0 | |||
1-Boudreault, Danny | PPC | 448 | 448.0 | |||
fptp.24036 |
This data can not be used to predict outcomes for individual candidates. | 1-Francis, Ann | Con | 9,083 | 9,908.9 | |
1-Chevalier, Dana | NDP | 7,263 | 9,497.9 | |||
1-Kona-Mancini, Milan | Grn | 4,176 | 4,564.7 | |||
1-Benoît, Julie | Bloc | 3,169 | 3,266.2 | |||
1-Charles, Gary | PPC | 805 | 902.2 | |||
1-de Martigny, Victoria | Oth | 379 | 379.0 | |||
1-Coelho, Ralston | Oth | 28 | 28.0 | |||
1-Scarpaleggia, Francis | Lib | 34,622 | 29,763.5 | ✔ | ||
fptp.24037 |
This data can not be used to predict outcomes for individual candidates. | 1-Dion, Isabel | Bloc | 12,619 | 13,639.8 | |
1-Lametti, David | Lib | 22,803 | 26,196.5 | ✔ | ||
1-Scott, Steven | NDP | 8,628 | 10,158.5 | |||
1-Rocchi, Claudio | Con | 3,690 | 4,123.6 | |||
1-Mercier, Jency | Grn | 3,583 | 3,583.0 | |||
1-Côté, Julien | Oth | 274 | 539.0 | |||
1-Turgeon, Daniel | PPC | 490 | 490.0 | |||
1-Bélanger, Rhino Jacques | Oth | 265 | 265.0 | |||
1-Studd, Eileen | M-L | 39 | 39.0 | |||
fptp.24038 |
This data can not be used to predict outcomes for individual candidates. | 1-Gaudreau, Marie-Hélène | Bloc | 30,625 | 32,046.2 | ✔ |
1-Graham, David | Lib | 21,655 | 24,751.2 | |||
1-Grégoire, Serge | Con | 4,983 | 5,938.9 | |||
1-Dufour, Claude | NDP | 4,122 | 4,816.5 | |||
1-Chantrel, Gaël | Grn | 3,157 | 3,157.0 | |||
1-Evanko, Richard | PPC | 418 | 418.0 | |||
1-Schneider, Ludovic | Oth | 272 | 272.0 | |||
1-Leclerc, Michel | Ind | 174 | 174.0 | |||
fptp.24039 |
This data can not be used to predict outcomes for individual candidates. | 1-Guilbeault, Steven | Lib | 22,306 | 26,705.5 | ✔ |
1-Machouf, Nimâ | NDP | 13,453 | 15,764.5 | |||
1-Duchesne, Michel | Bloc | 12,188 | 12,791.6 | |||
1-Azzaoui, Jamil | Grn | 3,225 | 3,384.8 | |||
1-des Greniers, Lise | Con | 1,502 | 1,598.0 | |||
1-Bui, Christine | PPC | 320 | 320.0 | |||
1-Morals, Archie | Oth | 208 | 208.0 | |||
1-Lachapelle, Serge | M-L | 98 | 98.0 | |||
1-Welsh, Adrien | Com | 67 | 67.0 | |||
1-Mourkes, Dimitri | Ind | 42 | 42.0 | |||
fptp.24040 |
This data can not be used to predict outcomes for individual candidates. | 1-Beddad, Nacera | Bloc | 11,120 | 11,601.9 | |
1-Pentefountas, Tom | Con | 8,816 | 10,156.4 | |||
1-El-Khoury, Fayçal | Lib | 26,031 | 26,981.5 | ✔ | ||
1-Onofre De Lima, Noémia | NDP | 4,803 | 5,310.3 | |||
1-Madi, Sari | Grn | 2,306 | 2,306.0 | |||
1-Beauchamp, Marie-Louise | PPC | 885 | 885.0 | |||
fptp.24041 |
This data can not be used to predict outcomes for individual candidates. | 1-Romanado, Sherry | Lib | 20,114 | 25,773.0 | ✔ |
1-Lepage, Cathy | Bloc | 18,794 | 19,627.8 | |||
1-Dhatsenpa, Kalden | NDP | 5,289 | 6,703.2 | |||
1-Robichaud, Stéphane | Con | 3,811 | 4,216.6 | |||
1-Poitras, Casandra | Grn | 2,978 | 2,978.0 | |||
1-Cousineau, Henri | PPC | 558 | 558.0 | |||
fptp.24042 |
This data can not be used to predict outcomes for individual candidates. | 1-Brault, François-Noël | Bloc | 15,921 | 16,570.2 | |
1-Gourde, Jacques | Con | 28,297 | 31,745.5 | ✔ | ||
1-Daigle, Ghislain | Lib | 10,761 | 12,928.4 | |||
1-Marchand, Christel | NDP | 4,355 | 4,774.8 | |||
1-Fontaine, Marc | PPC | 2,247 | 2,247.0 | |||
1-Kerr, Patrick | Grn | 1,908 | 1,908.0 | |||
fptp.24043 |
This data can not be used to predict outcomes for individual candidates. | 1-Trudel, Denis | Bloc | 23,061 | 25,130.0 | ✔ |
1-Hébert, Réjean | Lib | 20,471 | 24,516.2 | |||
1-Nantel, Pierre | Grn | 6,745 | 8,182.6 | |||
1-Ferland, Éric | NDP | 5,104 | 5,809.4 | |||
1-Clune, Patrick | Con | 3,779 | 3,919.1 | |||
1-Comeau, Ellen | PPC | 467 | 467.0 | |||
1-Filion, Pierre-Luc | Ind | 217 | 217.0 | |||
fptp.24044 |
This data can not be used to predict outcomes for individual candidates. | 1-Lightbound, Joël | Lib | 25,140 | 31,031.0 | ✔ |
1-Hébert, Christian | Bloc | 17,375 | 18,577.3 | |||
1-Guérette, Marie-Josée | Con | 10,912 | 12,065.3 | |||
1-Juneau, Jérémie | NDP | 4,884 | 5,426.5 | |||
1-Diab, Macarena | Grn | 2,466 | 2,466.0 | |||
1-Brisson, Daniel | PPC | 1,016 | 1,016.0 | |||
1-Dahan, Ali | Ind | 267 | 267.0 | |||
fptp.24045 |
This data can not be used to predict outcomes for individual candidates. | 1-Cusson, Jean-Christophe | Lib | 13,571 | 18,953.4 | |
1-Deltell, Gérard | Con | 29,279 | 32,781.5 | ✔ | ||
1-Desgagnés, Jeanne-Paule | Bloc | 14,674 | 15,093.5 | |||
1-Amram Ducharme, Colette | NDP | 4,339 | 4,813.1 | |||
1-Riedo, Sandra Mara | Grn | 2,155 | 2,155.0 | |||
1-Côté, Guillaume | PPC | 1,543 | 1,543.0 | |||
fptp.24046 |
This data can not be used to predict outcomes for individual candidates. | 1-Savard, Dave | Lib | 7,793 | 8,107.4 | |
1-Corriveau, François | Con | 7,771 | 8,132.6 | |||
1-McCool, Colleen | NDP | 1,482 | 1,639.2 | |||
1-Gélineau, Jacques | Grn | 1,293 | 1,513.1 | |||
1-Côté, Gabriel | PPC | 283 | 283.0 | |||
1-Gill, Marilène | Bloc | 21,768 | 20,196.0 | ✔ | ||
fptp.24047 |
This data can not be used to predict outcomes for individual candidates. | 1-Corbeil, Priscilla | Bloc | 12,249 | 12,496.8 | |
1-Grégoire, Isabelle | Lib | 7,388 | 8,481.9 | |||
1-Berthold, Luc | Con | 23,392 | 23,755.0 | ✔ | ||
1-Boisvert, Mathieu | NDP | 1,936 | 2,212.8 | |||
1-Charette, Nicole | Grn | 1,258 | 1,258.0 | |||
1-Lauzier, Marie Claude | PPC | 812 | 812.0 | |||
1-Roy, Damien | Oth | 256 | 256.0 | |||
1-Paradis, Jean | Ind | 217 | 217.0 | |||
fptp.24048 |
This data can not be used to predict outcomes for individual candidates. | 1-Trudel, Karl | Lib | 16,162 | 16,302.6 | |
1-Desrochers, François | Con | 5,940 | 6,101.7 | |||
1-Saint-Germain, Anne-Marie | NDP | 5,219 | 5,289.3 | |||
1-Tremblay, Julie | Grn | 3,517 | 3,615.4 | |||
1-Montpetit, Christian | PPC | 641 | 641.0 | |||
1-Biacchi, Pietro | Oth | 332 | 332.0 | |||
1-Marcil, Simon | Bloc | 33,219 | 32,516.0 | ✔ | ||
fptp.24049 |
This data can not be used to predict outcomes for individual candidates. | 1-Bergeron, Stéphane | Bloc | 25,366 | 26,703.5 | ✔ |
1-Picard, Michel | Lib | 21,061 | 24,594.8 | |||
1-Sellah, Djaouida | NDP | 4,984 | 6,451.4 | |||
1-Sauvageau, Julie | Con | 4,138 | 4,525.7 | |||
1-Pelland, Jean-Charles | Grn | 2,967 | 2,967.0 | |||
1-Lavallée, Julie | PPC | 501 | 501.0 | |||
1-Thibault-Vincent, Thomas | Oth | 211 | 211.0 | |||
fptp.24050 |
This data can not be used to predict outcomes for individual candidates. | 1-Sayegh, Isabel | Lib | 11,200 | 12,077.4 | |
1-Desroches, Gisèle | Con | 4,942 | 5,951.0 | |||
1-Bonello-Stauch, Julian | NDP | 3,514 | 3,952.7 | |||
1-Goyette, Mathieu | Grn | 2,416 | 3,030.2 | |||
1-Clénin, Hugo | PPC | 524 | 524.0 | |||
1-Labelle, Marc | Oth | 419 | 419.0 | |||
1-Thériault, Luc | Bloc | 31,791 | 27,404.0 | ✔ | ||
fptp.24051 |
This data can not be used to predict outcomes for individual candidates. | 1-Généreux, Bernard | Con | 20,989 | 25,195.0 | ✔ |
1-Gagnon, Louis | Bloc | 16,261 | 16,686.1 | |||
1-Legault d'Auteuil, Aladin | Lib | 8,210 | 9,820.8 | |||
1-Latulippe, Hugo | NDP | 3,481 | 3,707.6 | |||
1-Ducharme, Denis | Grn | 1,030 | 1,030.0 | |||
1-Haché, Serge | PPC | 417 | 417.0 | |||
fptp.24052 |
This data can not be used to predict outcomes for individual candidates. | 1-Tordjman, David | Con | 10,887 | 11,354.4 | |
1-Baland, Eric-Abel | NDP | 3,609 | 4,873.8 | |||
1-Badra, Clément | Grn | 2,389 | 2,609.0 | |||
1-Levesque, Xavier | Bloc | 1,757 | 1,812.0 | |||
1-Lozoff, Zachary | PPC | 362 | 417.0 | |||
1-Johnston, Diane | M-L | 85 | 85.0 | |||
1-Housefather, Anthony | Lib | 24,590 | 21,840.5 | ✔ | ||
fptp.24053 |
This data can not be used to predict outcomes for individual candidates. | 1-Gertler, Franklin | NDP | 7,753 | 9,207.3 | |
1-Drabkin, Neil | Con | 5,759 | 6,296.5 | |||
1-Green, Robert | Grn | 5,397 | 5,649.9 | |||
1-Jetté, Jennifer | Bloc | 2,359 | 2,422.2 | |||
1-Valiquette, André | PPC | 565 | 628.2 | |||
1-Thomas, Jeffery A. | Ind | 98 | 98.0 | |||
1-Hoffman, Rachel | M-L | 67 | 67.0 | |||
1-Garneau, Marc | Lib | 28,323 | 25,161.5 | ✔ | ||
fptp.24054 |
This data can not be used to predict outcomes for individual candidates. | 1-Clarke, Andrea | NDP | 8,319 | 11,097.6 | |
1-Bendayan, Rachel | Lib | 19,148 | 20,729.5 | ✔ | ||
1-Grimard, Célia | Bloc | 5,741 | 6,705.0 | |||
1-Green, Daniel | Grn | 5,018 | 5,299.8 | |||
1-Louras, Jasmine | Con | 2,707 | 2,817.7 | |||
1-Lévesque, Sabin | PPC | 369 | 369.0 | |||
1-Hiemstra, Mark John | Oth | 155 | 155.0 | |||
fptp.24055 |
This data can not be used to predict outcomes for individual candidates. | 1-Paré, Christine | NDP | 9,748 | 10,008.1 | |
1-Gagnon, Christian | Bloc | 8,124 | 8,135.3 | |||
1-Vazquez, Juan | Grn | 3,741 | 3,786.2 | |||
1-Veilleux, Sophie | Con | 2,155 | 2,251.1 | |||
1-Berthiaume , Jean-Patrick Cacereco | Oth | 363 | 363.0 | |||
1-Sibthorpe, Mark | PPC | 322 | 333.3 | |||
1-Lefebvre, Susanne | CHP | 186 | 186.0 | |||
1-Magnan, Alain | Ind | 76 | 76.0 | |||
1-Lupien, Luc | Oth | 75 | 75.0 | |||
1-Penner, Steve | Oth | 34 | 34.0 | |||
1-Trudeau, Justin | Lib | 25,957 | 25,391.5 | ✔ | ||
fptp.24056 |
This data can not be used to predict outcomes for individual candidates. | 1-Ishak, Mariam | Con | 9,797 | 10,403.6 | |
1-El-Khoury, Bruno Ibrahim | NDP | 5,687 | 7,328.5 | |||
1-Henri, Edline | Bloc | 4,469 | 4,540.4 | |||
1-Mintz, Lisa | Grn | 2,866 | 3,151.5 | |||
1-Weishar, Lee | PPC | 711 | 782.4 | |||
1-Plante, Martin | Ind | 394 | 394.0 | |||
1-Khan, Shahid | Ind | 242 | 242.0 | |||
1-Zuberi, Sameer | Lib | 31,305 | 27,736.5 | ✔ | ||
fptp.24057 |
This data can not be used to predict outcomes for individual candidates. | 1-Blackburn, Dave | Con | 10,416 | 12,297.2 | |
1-Carreiro-Benoit, Jonathan | Bloc | 9,929 | 10,695.0 | |||
1-Amos, William | Lib | 30,217 | 30,924.5 | ✔ | ||
1-Giroux, Denise | NDP | 6,503 | 7,330.6 | |||
1-Bertrand, Claude | Grn | 3,762 | 3,762.0 | |||
1-Belec, Mario | PPC | 775 | 775.0 | |||
1-Stewart, Shawn | Oth | 194 | 194.0 | |||
1-Lang, Louis | M-L | 51 | 51.0 | |||
fptp.24058 |
This data can not be used to predict outcomes for individual candidates. | 1-Godin, Joël | Con | 28,110 | 32,338.0 | ✔ |
1-Bonsaint, Mathieu | Bloc | 15,707 | 16,436.7 | |||
1-Talbot, Annie | Lib | 12,876 | 14,908.9 | |||
1-Gagnon, David-Roger | NDP | 3,758 | 4,265.8 | |||
1-Gaudet, Marie-Claude | Grn | 2,308 | 2,308.0 | |||
1-Abbatiello, Luca | PPC | 1,915 | 1,915.0 | |||
fptp.24059 |
This data can not be used to predict outcomes for individual candidates. | 1-Duclos, Jean-Yves | Lib | 18,047 | 26,096.2 | ✔ |
1-Gagnon, Christiane | Bloc | 17,722 | 18,864.5 | |||
1-Boutin, Bianca | Con | 8,118 | 9,380.4 | |||
1-Bureau, Tommy | NDP | 6,220 | 6,868.8 | |||
1-Joli-Coeur, Luc | Grn | 2,949 | 2,949.0 | |||
1-Dabiré, Bruno | PPC | 674 | 674.0 | |||
1-CoRhino, Sébastien | Oth | 349 | 468.0 | |||
1-Paquin, Luc | Oth | 119 | 119.0 | |||
fptp.24060 |
This data can not be used to predict outcomes for individual candidates. | 1-Larose, Josée | Lib | 18,111 | 18,532.6 | |
1-Branchaud, Pierre | Con | 4,878 | 5,362.8 | |||
1-Benslimane, Meryem | NDP | 4,470 | 4,680.8 | |||
1-Beauregard, Diane | Grn | 2,289 | 2,584.1 | |||
1-Saint-Laurent, Samuel | PPC | 524 | 524.0 | |||
1-Boucher Granger, Micheline | Oth | 347 | 347.0 | |||
1-Pauzé, Monique | Bloc | 34,837 | 32,729.0 | ✔ | ||
fptp.24061 |
This data can not be used to predict outcomes for individual candidates. | 1-Rayes, Alain | Con | 26,553 | 29,320.0 | ✔ |
1-Nolin, Olivier | Bloc | 16,539 | 17,354.9 | |||
1-Patry, Marc | Lib | 8,868 | 10,568.7 | |||
1-Horth-Lepage, Laura | Grn | 3,133 | 3,648.5 | |||
1-Guérin, Olivier | NDP | 2,864 | 2,864.0 | |||
1-Landry, Jean | PPC | 681 | 681.0 | |||
fptp.24062 |
This data can not be used to predict outcomes for individual candidates. | 1-Lapointe, Linda | Lib | 21,009 | 29,093.0 | ✔ |
1-Desilets, Luc | Bloc | 23,629 | 24,523.9 | |||
1-Hakizimana, Joseph | NDP | 5,002 | 6,597.5 | |||
1-Mikhael, Maikel | Con | 4,684 | 5,178.7 | |||
1-Borgers, Ceylan | Grn | 3,015 | 3,015.0 | |||
1-Roker Jr, Hans | PPC | 845 | 845.0 | |||
fptp.24063 |
This data can not be used to predict outcomes for individual candidates. | 1-Gagnon, Florence | Lib | 13,402 | 13,647.9 | |
1-Fréchette, Sylvie | Con | 7,120 | 7,402.8 | |||
1-Ouellette, Myriam | NDP | 4,194 | 4,317.0 | |||
1-Leckman, Joey | Grn | 3,345 | 3,517.1 | |||
1-Michaud, Normand | PPC | 407 | 407.0 | |||
1-Riqueur-Lainé, Nicolas | Oth | 225 | 225.0 | |||
1-St-Gelais, Lucie | Ind | 127 | 127.0 | |||
1-Fortin, Rhéal Éloi | Bloc | 31,281 | 30,051.5 | ✔ | ||
fptp.24064 |
This data can not be used to predict outcomes for individual candidates. | 1-Boulerice, Alexandre | NDP | 25,575 | 30,104.0 | ✔ |
1-Hinse, Geneviève | Lib | 14,576 | 18,335.0 | |||
1-André, Claude | Bloc | 14,306 | 14,948.8 | |||
1-Désy, Jean | Grn | 3,539 | 3,688.3 | |||
1-Sarfati, Johanna | Con | 1,405 | 1,492.9 | |||
1-Lavoie, Jos Guitare | Oth | 346 | 346.0 | |||
1-Pellerin, Bobby | PPC | 293 | 293.0 | |||
1-Raymond, Normand | Com | 86 | 86.0 | |||
1-Desrochers, Gisèle | M-L | 80 | 80.0 | |||
fptp.24065 |
This data can not be used to predict outcomes for individual candidates. | 1-Nitoi, Lizabel | Bloc | 18,069 | 18,872.8 | |
1-Robillard, Yves | Lib | 24,865 | 27,909.5 | ✔ | ||
1-Baudelot, Sonia | Con | 5,423 | 6,356.0 | |||
1-Faour, Ali | NDP | 4,741 | 5,205.4 | |||
1-Tran Le, Bao | Grn | 2,111 | 2,111.0 | |||
1-Migliozzi, Emilio | PPC | 465 | 465.0 | |||
1-Progakis, Elias | Ind | 143 | 143.0 | |||
fptp.24066 |
This data can not be used to predict outcomes for individual candidates. | 1-Savard-Tremblay, Simon-Pierre | Bloc | 23,143 | 24,554.9 | ✔ |
1-Vincelette, René | Lib | 11,903 | 18,009.6 | |||
1-Sansoucy, Brigitte | NDP | 10,297 | 12,250.0 | |||
1-Barré, Bernard | Con | 8,062 | 8,367.9 | |||
1-Huet-Côté, Sabrina | Grn | 2,031 | 2,031.0 | |||
1-Bélanger, Jean-François | PPC | 478 | 478.0 | |||
fptp.24067 |
This data can not be used to predict outcomes for individual candidates. | 1-Normandin, Christine | Bloc | 27,750 | 29,236.3 | ✔ |
1-Rioux, Jean R. | Lib | 18,906 | 22,461.0 | |||
1-Thibert, Martin | Con | 6,612 | 7,639.1 | |||
1-Reeves, Chantal | NDP | 4,794 | 5,481.9 | |||
1-Chenail, André-Philippe | Grn | 3,127 | 3,127.0 | |||
1-Hivon, Marc | PPC | 397 | 397.0 | |||
1-Savary, Yvon | Oth | 289 | 289.0 | |||
fptp.24068 |
This data can not be used to predict outcomes for individual candidates. | 1-Serour, Richard | Con | 7,005 | 7,591.9 | |
1-Gallo, Miranda | NDP | 4,065 | 5,653.2 | |||
1-Miljours, Thérèse | Bloc | 2,845 | 2,914.1 | |||
1-Kokotsis, Georgia | Grn | 2,150 | 2,426.2 | |||
1-Mikus, Christopher | PPC | 484 | 553.1 | |||
1-Boutet, Ginette | M-L | 71 | 71.0 | |||
1-Lambropoulos, Emmanuella | Lib | 23,527 | 20,074.5 | ✔ | ||
fptp.24069 |
This data can not be used to predict outcomes for individual candidates. | 1-Maiolo, Ilario | Con | 5,423 | 6,298.2 | |
1-Mougin, Dominique | Bloc | 4,351 | 4,454.0 | |||
1-Guillet, Hassan | Ind | 3,061 | 3,061.0 | |||
1-Ayala, Paulina | NDP | 2,964 | 5,332.1 | |||
1-Szilagyi, Alessandra | Grn | 1,183 | 1,594.8 | |||
1-Di Serio, Tina | PPC | 501 | 604.0 | |||
1-Colly, Garnet | M-L | 85 | 85.0 | |||
1-Lattanzio, Patricia | Lib | 27,866 | 22,718.0 | ✔ | ||
fptp.24070 |
This data can not be used to predict outcomes for individual candidates. | 1-Champagne, François-Philippe | Lib | 23,104 | 29,208.0 | ✔ |
1-Morin, Nicole | Bloc | 19,950 | 20,913.8 | |||
1-Courchesne, Bruno-Pier | Con | 9,542 | 10,384.4 | |||
1-Boisguérin, Barthélémy | NDP | 3,071 | 3,469.0 | |||
1-Dufresne, Stéphanie | Grn | 1,809 | 1,809.0 | |||
1-Déziel, Julie | PPC | 938 | 938.0 | |||
fptp.24071 |
This data can not be used to predict outcomes for individual candidates. | 1-DeBellefeuille, Claude | Bloc | 29,975 | 31,253.3 | ✔ |
1-Faubert, Marc | Lib | 18,682 | 21,991.6 | |||
1-Larivière, Cynthia | Con | 6,116 | 7,161.5 | |||
1-Gottman, Joan | NDP | 5,024 | 5,463.3 | |||
1-AlShawa, Nahed | Grn | 1,997 | 1,997.0 | |||
1-Savard, Alain | PPC | 767 | 767.0 | |||
1-Bertrand, Luc | Oth | 342 | 342.0 | |||
fptp.24072 |
This data can not be used to predict outcomes for individual candidates. | 1-Breton, Pierre | Lib | 22,605 | 30,457.5 | ✔ |
1-Larouche, Andréanne | Bloc | 23,503 | 24,514.9 | |||
1-Clermont, Nathalie | Con | 7,495 | 8,388.1 | |||
1-Plamondon, Raymonde | NDP | 3,705 | 4,324.1 | |||
1-Turgeon, Katherine | Grn | 2,814 | 2,814.0 | |||
1-Sabbagh, Mariam | PPC | 497 | 497.0 | |||
1-Daviault, Darlène | Oth | 294 | 294.0 | |||
fptp.24073 |
This data can not be used to predict outcomes for individual candidates. | 1-Brière, Élisabeth | Lib | 17,490 | 29,864.0 | ✔ |
1-Dusseault, Pierre-Luc | NDP | 16,881 | 20,290.0 | |||
1-Forgues, Claude | Bloc | 15,470 | 16,272.2 | |||
1-Sévigny, Dany | Con | 6,362 | 6,579.3 | |||
1-Morin, Mathieu | Grn | 2,716 | 2,716.0 | |||
1-Moreno, Edwin | Ind | 471 | 471.0 | |||
1-Côté, Steve | Oth | 219 | 336.0 | |||
1-Richard, Hubert | Oth | 117 | 117.0 | |||
fptp.24074 |
This data can not be used to predict outcomes for individual candidates. | 1-Rouillard, Noémie | Bloc | 16,600 | 17,310.9 | |
1-Cox, Karen | Con | 7,804 | 9,585.5 | |||
1-Schiefke, Peter | Lib | 32,254 | 34,072.0 | ✔ | ||
1-MacDonald, Amanda | NDP | 7,368 | 8,117.1 | |||
1-Stiff, Cameron | Grn | 3,405 | 3,405.0 | |||
1-Tam, Kaylin | PPC | 711 | 711.0 | |||
fptp.24075 |
This data can not be used to predict outcomes for individual candidates. | 1-Beauchemin, Frédéric | Lib | 17,944 | 18,016.1 | |
1-Gagnon, France | Con | 4,640 | 4,722.9 | |||
1-Beaudoin, Maxime | NDP | 4,627 | 4,663.1 | |||
1-Monette, Réjean | Grn | 2,277 | 2,327.5 | |||
1-Barnes, Jeffrey | PPC | 399 | 399.0 | |||
1-Vézina, Paul | Oth | 260 | 260.0 | |||
1-Hébert, Jade | Ind | 159 | 159.0 | |||
1-Boudrias, Michel | Bloc | 31,029 | 30,668.5 | ✔ | ||
fptp.24076 |
This data can not be used to predict outcomes for individual candidates. | 1-Renaud-Martin, Valérie | Lib | 15,774 | 25,825.1 | ✔ |
1-Charbonneau, Louise | Bloc | 17,240 | 18,678.9 | |||
1-Lévesque, Yves | Con | 15,240 | 16,779.0 | |||
1-Aubin, Robert | NDP | 10,090 | 10,418.2 | |||
1-Duplessis, Marie | Grn | 1,492 | 1,492.0 | |||
1-Gingras, Marc André | PPC | 565 | 565.0 | |||
1-St-Onge Lynch, Ronald | Ind | 137 | 137.0 | |||
fptp.24077 |
This data can not be used to predict outcomes for individual candidates. | 1-Thiébaut, Sophie | NDP | 8,274 | 9,113.5 | |
1-Bourque, Nadia | Bloc | 6,899 | 6,935.5 | |||
1-Forian, Michael | Con | 4,609 | 4,919.3 | |||
1-Cusmano, Liana Canton | Grn | 3,718 | 3,864.0 | |||
1-Langlais, Jean | PPC | 520 | 556.5 | |||
1-Gaudet, Tommy | Oth | 140 | 140.0 | |||
1-O'Sullivan, Louise B. | Ind | 117 | 117.0 | |||
1-Patenaude, Marc | Oth | 113 | 113.0 | |||
1-Sullivan, Linda | M-L | 45 | 45.0 | |||
1-Miller, Marc | Lib | 28,087 | 26,262.0 | ✔ | ||
fptp.24078 |
This data can not be used to predict outcomes for individual candidates. | 1-Beaulieu, Claire-Emmanuelle | Bloc | 15,455 | 15,900.9 | |
1-El-Helou, Rima | Con | 5,951 | 7,158.9 | |||
1-Koutrakis, Annie | Lib | 26,490 | 27,767.5 | ✔ | ||
1-Aliev, Vassif | NDP | 4,779 | 5,246.5 | |||
1-R'Guiba, Faiza | Grn | 2,125 | 2,125.0 | |||
1-Brunelle, Suzanne | PPC | 733 | 733.0 |
Saskatchewan
Region: R_SK
Riding ID | Composed from | Candidate | Party | Votes | Eff Votes | |
---|---|---|---|---|---|---|
fptp.47001 |
This data can not be used to predict outcomes for individual candidates. | 1-Pedersen, Marcella | NDP | 4,098 | 5,919.3 | |
1-Ingram, Larry | Lib | 2,426 | 3,640.2 | |||
1-MacInnis, Jason | PPC | 662 | 1,876.2 | |||
1-Kim-Cragg, David | Grn | 605 | 1,616.9 | |||
1-Falk, Rosemarie | Con | 28,030 | 17,911.5 | ✔ | ||
fptp.47002 |
This data can not be used to predict outcomes for individual candidates. | 1-Peterson, Trevor | NDP | 3,666 | 5,813.7 | |
1-Caton, William | Lib | 1,595 | 3,026.8 | |||
1-Harding, Lee | PPC | 1,075 | 2,506.8 | |||
1-Clary, Bill | Grn | 719 | 1,912.2 | |||
1-Lewans, Maria | Ind | 220 | 220.0 | |||
1-Patzer, Jeremy | Con | 31,140 | 19,208.5 | ✔ | ||
fptp.47003 |
This data can not be used to predict outcomes for individual candidates. | 1-Vidal, Gary | Con | 11,531 | 13,629.5 | ✔ |
1-Jolibois, Georgina | NDP | 7,741 | 11,223.9 | |||
1-Cook-Searson, Tammy | Lib | 7,225 | 7,311.9 | |||
1-Kraynick, Sarah | Grn | 543 | 543.0 | |||
1-Perrault, Jerome | PPC | 217 | 217.0 | |||
fptp.47004 |
This data can not be used to predict outcomes for individual candidates. | 1-Calix, Jasmine | NDP | 5,535 | 7,845.8 | |
1-Malo, Rebecca | Lib | 2,085 | 3,625.5 | |||
1-Gibson, Dean | Grn | 873 | 2,156.8 | |||
1-Payant, Cody | PPC | 799 | 2,339.5 | |||
1-Wright, Glenn | Ind | 344 | 344.0 | |||
1-Block, Kelly | Con | 35,313 | 22,475.5 | ✔ | ||
fptp.47005 |
This data can not be used to predict outcomes for individual candidates. | 1-Regent, Talon | NDP | 7,660 | 9,370.0 | |
1-Melanson, Cecilia | Lib | 2,517 | 3,657.0 | |||
1-Craik, Chey | PPC | 1,613 | 2,753.0 | |||
1-Walker, Gillian | Grn | 1,201 | 2,151.0 | |||
1-Lukiwski, Tom | Con | 31,993 | 22,493.0 | ✔ | ||
fptp.47006 |
This data can not be used to predict outcomes for individual candidates. | 1-Johnson-Harder, Harmony | NDP | 6,925 | 8,191.3 | |
1-Hjertaas, Estelle | Lib | 4,107 | 4,951.2 | |||
1-Wall, Kerri | Grn | 839 | 1,542.5 | |||
1-Day, Kelly | PPC | 778 | 1,622.2 | |||
1-Littlepine, Brian | Oth | 170 | 170.0 | |||
1-Hoback, Randy | Con | 26,891 | 19,856.0 | ✔ | ||
fptp.47007 |
This data can not be used to predict outcomes for individual candidates. | 1-Patel, Jigar | NDP | 14,767 | 14,997.4 | |
1-Fedyk, Winter | Lib | 6,826 | 6,979.6 | |||
1-Hunter, Naomi | Grn | 2,099 | 2,227.0 | |||
1-Wowk, Trevor | PPC | 573 | 726.6 | |||
1-Morgan, Don | Ind | 201 | 201.0 | |||
1-Bridges, Ian | Oth | 60 | 60.0 | |||
1-Steinley, Warren | Con | 27,088 | 25,808.0 | ✔ | ||
fptp.47008 |
This data can not be used to predict outcomes for individual candidates. | 1-Aldinger, Ray | NDP | 7,685 | 8,600.2 | |
1-Ames-Sinclair, Jordan | Lib | 4,543 | 5,153.1 | |||
1-Dewar, Dale | Grn | 1,282 | 1,790.5 | |||
1-Sparrowhawk, Tracey | PPC | 513 | 1,123.1 | |||
1-Plummer, James | Lbt | 116 | 116.0 | |||
1-Szuchewycz, Kieran | Ind | 78 | 78.0 | |||
1-Normand, Éric | Oth | 75 | 75.0 | |||
1-Scheer, Andrew | Con | 24,463 | 19,378.5 | ✔ | ||
fptp.47009 |
This data can not be used to predict outcomes for individual candidates. | 1-Goodale, Ralph | Lib | 15,242 | 17,913.1 | |
1-Kram, Michael | Con | 22,418 | 22,678.5 | ✔ | ||
1-Clark, Hailey | NDP | 5,801 | 6,090.5 | |||
1-Friesen, Tamela | Grn | 1,316 | 1,316.0 | |||
1-Milanovski, Mario | PPC | 450 | 450.0 | |||
1-Godron, Evangeline | Ind | 128 | 128.0 | |||
fptp.47010 |
This data can not be used to predict outcomes for individual candidates. | 1-Ritchie, Erika | NDP | 12,672 | 12,962.8 | |
1-Muggli, Tracy | Lib | 8,419 | 8,612.9 | |||
1-Sinclair, Neil | Grn | 1,320 | 1,481.6 | |||
1-Friesen, Mark | PPC | 692 | 885.9 | |||
1-Waugh, Kevin | Con | 26,336 | 24,720.5 | ✔ | ||
fptp.47011 |
This data can not be used to predict outcomes for individual candidates. | 1-Card, Claire | NDP | 13,994 | 14,173.9 | |
1-Hayton, Susan | Lib | 6,146 | 6,265.9 | |||
1-Norris, Jan | Grn | 1,401 | 1,501.0 | |||
1-Penteado, Guto | PPC | 667 | 786.9 | |||
1-Willerton, Jeff | CHP | 305 | 305.0 | |||
1-Tochor, Corey | Con | 24,514 | 23,514.5 | ✔ | ||
fptp.47012 |
This data can not be used to predict outcomes for individual candidates. | 1-Redekopp, Brad | Con | 18,597 | 19,493.5 | ✔ |
1-Benson, Sheri | NDP | 15,708 | 17,330.9 | |||
1-Rukh, Shah | Lib | 2,863 | 3,029.7 | |||
1-Setyo, Shawn | Grn | 1,042 | 1,042.0 | |||
1-Hayes, Isaac | PPC | 775 | 775.0 | |||
fptp.47013 |
This data can not be used to predict outcomes for individual candidates. | 1-Hicks, Ashlee | NDP | 3,214 | 5,786.4 | |
1-Ames-Sinclair, Javin | Lib | 1,718 | 3,432.9 | |||
1-Zajac, Phillip | PPC | 702 | 2,416.9 | |||
1-Mergel, Judy | Grn | 681 | 2,110.1 | |||
1-Patron, Travis | Oth | 168 | 168.0 | |||
1-Kitchen, Robert Gordon | Con | 35,067 | 20,776.0 | ✔ | ||
fptp.47014 |
This data can not be used to predict outcomes for individual candidates. | 1-Antoine, Carter | NDP | 4,747 | 6,571.8 | |
1-Moen, Connor | Lib | 2,488 | 3,704.5 | |||
1-Wiebe, Stacey | Grn | 1,070 | 2,083.8 | |||
1-Schultz, Ryan | PPC | 941 | 2,157.5 | |||
1-Wagantall, Cathay | Con | 29,523 | 19,385.5 | ✔ |
Yukon Territories
Region: R_YT
Riding ID | Composed from | Candidate | Party | Votes | Eff Votes | |
---|---|---|---|---|---|---|
fptp.60001 |
This data can not be used to predict outcomes for individual candidates. | 1-Bagnell, Larry | Lib | 7,034 | 10,306.2 | ✔ |
1-Smith, Jonas Jacot | Con | 6,881 | 7,754.4 | |||
1-Lemphers, Justin | NDP | 4,617 | 5,101.2 | |||
1-Morris, Lenore | Grn | 2,201 | 2,201.0 | |||
1-Zelezny, Joseph | PPC | 284 | 284.0 |