Riding Results for First-Past-The-Post-2015 (2015 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: FPTP; candidates sorted from most to fewest raw votes.
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-Richards, Blake | Con | 42,228 | 42,228.0 | ✔ |
1-Raynolds, Marlo | Lib | 17,380 | 17,380.0 | |||
1-Boissonneault, Joanne | NDP | 4,521 | 4,521.0 | |||
1-MacDonald, Mike | Grn | 2,509 | 2,509.0 | |||
fptp.48002 |
This data can not be used to predict outcomes for individual candidates. | 1-Sorenson, Kevin | Con | 47,552 | 47,552.0 | ✔ |
1-Kowalski, Andy | Lib | 5,505 | 5,505.0 | |||
1-Swampy, Katherine | NDP | 3,844 | 3,844.0 | |||
1-Kelly, Gary | Grn | 1,868 | 1,868.0 | |||
fptp.48003 |
This data can not be used to predict outcomes for individual candidates. | 1-Shields, Martin | Con | 38,701 | 38,701.0 | ✔ |
1-Alexander, William MacDonald | Lib | 6,840 | 6,840.0 | |||
1-MacWilliam, Lynn | NDP | 2,622 | 2,622.0 | |||
1-Fromholt, Rita Ann | Grn | 919 | 919.0 | |||
1-Kucy, Andrew | Ind | 543 | 543.0 | |||
1-VandeStroet, Frans | CHP | 280 | 280.0 | |||
1-Khalid, Fahed | Oth | 83 | 83.0 | |||
fptp.48004 |
This data can not be used to predict outcomes for individual candidates. | 1-Hehr, Kent | Lib | 28,496 | 28,496.0 | ✔ |
1-Crockatt, Joan | Con | 27,746 | 27,746.0 | |||
1-Ratti, Jillian | NDP | 3,412 | 3,412.0 | |||
1-Boonlert, Thana | Grn | 1,347 | 1,347.0 | |||
1-Henderson, Yogi | Ind | 248 | 248.0 | |||
fptp.48005 |
This data can not be used to predict outcomes for individual candidates. | 1-Webber, Len | Con | 30,669 | 30,669.0 | ✔ |
1-Grant, Matt | Lib | 29,083 | 29,083.0 | |||
1-Heuser, Kirk | NDP | 4,770 | 4,770.0 | |||
1-Odd, Natalie | Grn | 2,146 | 2,146.0 | |||
1-Hunter, Kevan | M-L | 140 | 140.0 | |||
fptp.48006 |
This data can not be used to predict outcomes for individual candidates. | 1-Obhrai, Deepak | Con | 19,694 | 19,694.0 | ✔ |
1-Stewart, Cam | Lib | 14,762 | 14,762.0 | |||
1-Souraya, Abdou | NDP | 4,006 | 4,006.0 | |||
1-Hansell, Judson | Grn | 1,229 | 1,229.0 | |||
1-Badura, Matt | Lbt | 832 | 832.0 | |||
1-Devine, Jason | Com | 390 | 390.0 | |||
1-Veress, Max | Oth | 134 | 134.0 | |||
fptp.48007 |
This data can not be used to predict outcomes for individual candidates. | 1-Harper, Stephen J. | Con | 37,263 | 37,263.0 | ✔ |
1-Miles, Brendan | Lib | 15,172 | 15,172.0 | |||
1-Masters Burgener, Matt | NDP | 4,255 | 4,255.0 | |||
1-Christie, Kelly | Grn | 1,246 | 1,246.0 | |||
1-Paolasini, Steven | Lbt | 246 | 246.0 | |||
1-Heather, Larry R. | Ind | 114 | 248.0 | |||
1-Zepik, Korry | Ind | 73 | 0.0 | |||
1-Duchastel de Montrouge, Nicolas | Ind | 61 | 0.0 | |||
fptp.48008 |
This data can not be used to predict outcomes for individual candidates. | 1-Kenney, Jason | Con | 42,415 | 42,415.0 | ✔ |
1-Brown, Haley | Lib | 14,396 | 14,396.0 | |||
1-Weston, Laura | NDP | 4,915 | 4,915.0 | |||
1-Wauters, Brennan | Grn | 1,691 | 1,691.0 | |||
1-Askin, Peggy | M-L | 145 | 145.0 | |||
fptp.48009 |
This data can not be used to predict outcomes for individual candidates. | 1-Rempel, Michelle | Con | 32,760 | 32,760.0 | ✔ |
1-Prcic, Robert | Lib | 14,671 | 14,671.0 | |||
1-Kaufman, Bruce | NDP | 4,836 | 4,836.0 | |||
1-Scheer, Laurie | Grn | 1,384 | 1,384.0 | |||
1-Gao, Edward | Lbt | 727 | 727.0 | |||
1-Butt, Faizan | Oth | 184 | 184.0 | |||
fptp.48010 |
This data can not be used to predict outcomes for individual candidates. | 1-Kelly, Pat | Con | 38,229 | 38,229.0 | ✔ |
1-Naidoo, Nirmala | Lib | 20,038 | 20,038.0 | |||
1-Kot, Stephanie | NDP | 3,665 | 3,665.0 | |||
1-Wright, Catriona | Grn | 1,360 | 1,360.0 | |||
fptp.48011 |
This data can not be used to predict outcomes for individual candidates. | 1-Kmiec, Tom | Con | 43,706 | 43,706.0 | ✔ |
1-James, Jerome | Lib | 16,379 | 16,379.0 | |||
1-Allard, Dany | NDP | 4,532 | 4,532.0 | |||
1-MacKenzie, Graham | Grn | 1,734 | 1,734.0 | |||
fptp.48012 |
This data can not be used to predict outcomes for individual candidates. | 1-Liepert, Ron | Con | 37,858 | 37,858.0 | ✔ |
1-Cundal, Kerry | Lib | 19,108 | 19,108.0 | |||
1-Ahmed, Khalis | NDP | 3,128 | 3,128.0 | |||
1-Knorren, Taryn | Grn | 1,586 | 1,586.0 | |||
1-Moen, Tim | Lbt | 679 | 679.0 | |||
1-Rau, Jesse | CHP | 160 | 160.0 | |||
fptp.48013 |
This data can not be used to predict outcomes for individual candidates. | 1-Kang, Darshan Singh | Lib | 20,644 | 20,644.0 | ✔ |
1-Shory, Devinder | Con | 17,885 | 17,885.0 | |||
1-Singh, Sahajvir | NDP | 3,605 | 3,605.0 | |||
1-Butt, Najeeb | Oth | 957 | 1,743.0 | |||
1-Reddy, Ed | Grn | 846 | 846.0 | |||
1-Garvey, Stephen | Oth | 786 | 0.0 | |||
1-Young, Joseph | Ind | 182 | 182.0 | |||
1-Blanchard, Daniel | M-L | 88 | 88.0 | |||
fptp.48014 |
This data can not be used to predict outcomes for individual candidates. | 1-Boissonnault, Randy | Lib | 19,902 | 19,902.0 | ✔ |
1-Cumming, James | Con | 18,703 | 18,703.0 | |||
1-McGowan, Gil | NDP | 13,084 | 13,084.0 | |||
1-Parker, David | Grn | 1,403 | 1,403.0 | |||
1-Stauffer, Steven | Oth | 257 | 257.0 | |||
1-Yaki, Kat | Ind | 163 | 163.0 | |||
fptp.48015 |
This data can not be used to predict outcomes for individual candidates. | 1-Diotte, Kerry | Con | 19,157 | 19,157.0 | ✔ |
1-Irwin, Janis | NDP | 16,309 | 16,309.0 | |||
1-Gold, Brian | Lib | 10,397 | 10,397.0 | |||
1-Workman, Heather | Grn | 1,129 | 1,129.0 | |||
1-Goncharenko, Maryna | Lbt | 415 | 415.0 | |||
1-Northcott, Linda | Oth | 279 | 423.0 | |||
1-Thompson, Bun Bun | Oth | 144 | 0.0 | |||
1-Joyce, Mary | M-L | 112 | 112.0 | |||
fptp.48016 |
This data can not be used to predict outcomes for individual candidates. | 1-Aboultaif, Ziad | Con | 22,166 | 22,166.0 | ✔ |
1-Aujla, Sukhdev | Lib | 13,509 | 13,509.0 | |||
1-Paquette, Aaron | NDP | 11,582 | 11,582.0 | |||
1-Vallee, Chris | Grn | 1,079 | 1,079.0 | |||
1-Deres, Mebreate | Ind | 540 | 540.0 | |||
1-Vachon, AndrУЉ | M-L | 125 | 125.0 | |||
fptp.48017 |
This data can not be used to predict outcomes for individual candidates. | 1-Sohi, Amarjeet | Lib | 20,423 | 20,423.0 | ✔ |
1-Uppal, Tim | Con | 20,331 | 20,331.0 | |||
1-Deol, Jasvir | NDP | 6,330 | 6,330.0 | |||
1-McLean, Ralph | Grn | 1,096 | 1,096.0 | |||
1-Stubbs, Colin | Ind | 560 | 560.0 | |||
1-Paley, Allen K.W. | Lbt | 396 | 396.0 | |||
1-Downing, Peter | CHP | 285 | 285.0 | |||
1-Rankin, Naomi | Com | 96 | 96.0 | |||
fptp.48018 |
This data can not be used to predict outcomes for individual candidates. | 1-Jeneroux, Matt | Con | 28,805 | 28,805.0 | ✔ |
1-Chaudary, Tariq | Lib | 17,428 | 17,428.0 | |||
1-Fleck, Brian | NDP | 9,846 | 9,846.0 | |||
1-Kennedy, Valerie | Grn | 1,275 | 1,275.0 | |||
1-Lack, Steven | Lbt | 386 | 386.0 | |||
fptp.48019 |
This data can not be used to predict outcomes for individual candidates. | 1-Duncan, Linda | NDP | 24,446 | 24,446.0 | ✔ |
1-Thom, Len | Con | 17,395 | 17,395.0 | |||
1-Olszewski, Eleanor | Lib | 11,524 | 11,524.0 | |||
1-Binnema, Jacob K. | Grn | 1,278 | 1,278.0 | |||
1-Stinson, Malcolm | Lbt | 311 | 311.0 | |||
1-Bromsgrove, Ryan | Oth | 201 | 334.0 | |||
1-Eckstrom, Donovan | Oth | 133 | 0.0 | |||
1-Jones, Chris | Ind | 116 | 223.0 | |||
1-Schurman, Andrew | Ind | 107 | 0.0 | |||
1-MacDonald, Dougal | M-L | 93 | 93.0 | |||
fptp.48020 |
This data can not be used to predict outcomes for individual candidates. | 1-McCauley, Kelly | Con | 26,370 | 26,370.0 | ✔ |
1-Leibovici, Karen | Lib | 18,649 | 18,649.0 | |||
1-MacKenzie, Heather | NDP | 6,955 | 6,955.0 | |||
1-Bryan, Pamela Leslie | Grn | 1,037 | 1,037.0 | |||
1-Dussault, Alexander | Lbt | 341 | 341.0 | |||
1-Morton, Peggy | M-L | 105 | 105.0 | |||
fptp.48021 |
This data can not be used to predict outcomes for individual candidates. | 1-Lake, Mike | Con | 44,949 | 44,949.0 | ✔ |
1-Biollo, Jacqueline | Lib | 14,660 | 14,660.0 | |||
1-Bitz, Fritz K. | NDP | 6,645 | 6,645.0 | |||
1-Hut, Joy-Ann | Grn | 1,595 | 1,595.0 | |||
1-Whitlock, Brayden | Lbt | 495 | 495.0 | |||
fptp.48022 |
This data can not be used to predict outcomes for individual candidates. | 1-Barlow, John | Con | 46,166 | 46,166.0 | ✔ |
1-MacPherson, Tanya | Lib | 8,149 | 8,149.0 | |||
1-Thompson, Alison | NDP | 3,919 | 3,919.0 | |||
1-Tittel, Romy S. | Grn | 1,983 | 1,983.0 | |||
1-Morgan, Cory | Lbt | 424 | 424.0 | |||
1-Slingerland, Marc | CHP | 345 | 345.0 | |||
fptp.48023 |
This data can not be used to predict outcomes for individual candidates. | 1-Yurdiga, David | Con | 28,625 | 28,625.0 | ✔ |
1-Harrietha, Kyle | Lib | 13,403 | 13,403.0 | |||
1-Lepine, Melody | NDP | 3,663 | 3,663.0 | |||
1-Deheer, Brian | Grn | 743 | 743.0 | |||
1-Berry, Scott | Lbt | 552 | 552.0 | |||
1-Janssen, Roelof | CHP | 280 | 280.0 | |||
fptp.48024 |
This data can not be used to predict outcomes for individual candidates. | 1-Warkentin, Chris | Con | 38,895 | 38,895.0 | ✔ |
1-Johnston, Reagan | Lib | 7,819 | 7,819.0 | |||
1-Mossagizi, Saba | NDP | 4,343 | 4,343.0 | |||
1-Friesen, James David | Grn | 1,673 | 1,673.0 | |||
1-Thompson, Dylan | Lbt | 613 | 613.0 | |||
fptp.48025 |
This data can not be used to predict outcomes for individual candidates. | 1-Stubbs, Shannon | Con | 39,882 | 39,882.0 | ✔ |
1-Parenteau, Garry | Lib | 7,500 | 7,500.0 | |||
1-Zaraska, Duane | NDP | 5,513 | 5,513.0 | |||
1-Montgomery, Danielle | Grn | 1,283 | 1,283.0 | |||
1-McFadzean, Robert George | Lbt | 601 | 601.0 | |||
fptp.48026 |
This data can not be used to predict outcomes for individual candidates. | 1-Harder, Rachael | Con | 32,321 | 32,321.0 | ✔ |
1-Meheden, Cheryl | NDP | 11,674 | 11,674.0 | |||
1-Pyne, Mike | Lib | 10,532 | 10,532.0 | |||
1-MacMillan, Kas | Grn | 1,461 | 1,461.0 | |||
1-Capp, Geoffrey | CHP | 746 | 746.0 | |||
1-Krygier-Paine, Solly | Oth | 209 | 209.0 | |||
fptp.48027 |
This data can not be used to predict outcomes for individual candidates. | 1-Hillyer, Jim | Con | 34,849 | 34,849.0 | ✔ |
1-Allan, Glen | Lib | 9,085 | 9,085.0 | |||
1-Weir, Erin | NDP | 4,897 | 4,897.0 | |||
1-Smith, Brent | Grn | 1,319 | 1,319.0 | |||
1-Turner, John Clayton | Ind | 500 | 500.0 | |||
fptp.48028 |
This data can not be used to predict outcomes for individual candidates. | 1-Viersen, Arnold | Con | 34,342 | 34,342.0 | ✔ |
1-Alexis, Cameron | NDP | 7,127 | 7,127.0 | |||
1-Brown, Chris | Lib | 6,360 | 6,360.0 | |||
1-Levac, Sabrina Lee | Grn | 1,247 | 1,247.0 | |||
1-Sergeew, Jeremy | Lbt | 443 | 443.0 | |||
fptp.48029 |
This data can not be used to predict outcomes for individual candidates. | 1-Dreeshen, Earl | Con | 46,245 | 46,245.0 | ✔ |
1-Kastern, Chandra Lescia | Lib | 8,356 | 8,356.0 | |||
1-Harris, Paul | NDP | 5,233 | 5,233.0 | |||
1-Oleny, Simon | Grn | 1,621 | 1,621.0 | |||
1-Walper, James | Lbt | 445 | 445.0 | |||
1-Milne, Scott | Oth | 312 | 312.0 | |||
fptp.48030 |
This data can not be used to predict outcomes for individual candidates. | 1-Calkins, Blaine | Con | 43,599 | 43,599.0 | ✔ |
1-Rock, Jeff | Lib | 9,235 | 9,235.0 | |||
1-Hart, Doug | NDP | 7,055 | 7,055.0 | |||
1-Kuzyk, Les | Grn | 1,773 | 1,773.0 | |||
fptp.48031 |
This data can not be used to predict outcomes for individual candidates. | 1-Cooper, Michael | Con | 26,783 | 26,783.0 | ✔ |
1-Ghettuba, Beatrice | Lib | 13,343 | 13,343.0 | |||
1-Rathgeber, Brent | Ind | 11,652 | 11,652.0 | |||
1-Malayko, Darlene | NDP | 6,609 | 6,609.0 | |||
1-Oldham, Andrea | Grn | 821 | 821.0 | |||
fptp.48032 |
This data can not be used to predict outcomes for individual candidates. | 1-Genuis, Garnett | Con | 42,642 | 42,642.0 | ✔ |
1-Frank, Rod | Lib | 13,615 | 13,615.0 | |||
1-Cave, Joanne | NDP | 6,540 | 6,540.0 | |||
1-Harrop, Brandie | Grn | 1,648 | 1,648.0 | |||
1-Ford, James | Ind | 1,563 | 1,563.0 | |||
1-Burry, Stephen C. | Lbt | 678 | 678.0 | |||
fptp.48033 |
This data can not be used to predict outcomes for individual candidates. | 1-Ambrose, Rona | Con | 43,220 | 43,220.0 | ✔ |
1-Dueck, Travis | Lib | 9,586 | 9,586.0 | |||
1-Desforges, Guy | NDP | 6,166 | 6,166.0 | |||
1-Greene, Brendon | Grn | 1,875 | 1,875.0 | |||
1-Chauvet, Ernest | CHP | 690 | 690.0 | |||
fptp.48034 |
This data can not be used to predict outcomes for individual candidates. | 1-Eglinski, Jim | Con | 37,950 | 37,950.0 | ✔ |
1-Maguhn, Ryan | Lib | 7,467 | 7,467.0 | |||
1-Kuzminski, Ken | NDP | 4,753 | 4,753.0 | |||
1-Wolf Lange, Sandra | Grn | 1,538 | 1,538.0 | |||
1-Lystang, Cory | Lbt | 817 | 817.0 |
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-Fast, Ed | Con | 23,229 | 23,229.0 | ✔ |
1-Njenga, Peter | Lib | 15,777 | 15,777.0 | |||
1-Martel, Jen | NDP | 6,593 | 6,593.0 | |||
1-Fowler, Stephen | Grn | 2,416 | 2,416.0 | |||
1-MacKay, David | M-L | 109 | 109.0 | |||
fptp.59002 |
This data can not be used to predict outcomes for individual candidates. | 1-Beech, Terry | Lib | 18,938 | 18,938.0 | ✔ |
1-Baird Ellan, Carol | NDP | 15,537 | 15,537.0 | |||
1-Little, Mike | Con | 14,612 | 14,612.0 | |||
1-Quarmby, Lynne | Grn | 2,765 | 2,765.0 | |||
1-Tylor, Chris | Lbt | 252 | 252.0 | |||
1-Chang, Helen Hee Soon | Ind | 207 | 207.0 | |||
1-Jantzen, Brent | Com | 126 | 126.0 | |||
1-Sproule, Brian | M-L | 43 | 43.0 | |||
fptp.59003 |
This data can not be used to predict outcomes for individual candidates. | 1-Stewart, Kennedy | NDP | 16,094 | 16,094.0 | ✔ |
1-Pankratz, Adam | Lib | 15,547 | 15,547.0 | |||
1-Seear, Grace | Con | 12,441 | 12,441.0 | |||
1-Tessari, Wyatt | Grn | 1,306 | 1,306.0 | |||
1-Jaluague, Liz | Lbt | 499 | 499.0 | |||
fptp.59004 |
This data can not be used to predict outcomes for individual candidates. | 1-Doherty, Todd | Con | 19,688 | 19,688.0 | ✔ |
1-Calogheros, Tracy | Lib | 16,921 | 16,921.0 | |||
1-Derrick, Trent | NDP | 13,879 | 13,879.0 | |||
1-Jaques, Richard Edward | Grn | 1,860 | 1,860.0 | |||
1-Clare, Sheldon | Ind | 657 | 1,059.0 | |||
1-Campbell, Gordon | Ind | 402 | 0.0 | |||
1-De Kroon, Adam | CHP | 327 | 327.0 | |||
fptp.59005 |
This data can not be used to predict outcomes for individual candidates. | 1-Albas, Dan | Con | 24,517 | 24,517.0 | ✔ |
1-Scott, Karley | Lib | 23,059 | 23,059.0 | |||
1-Wood, Angelique | NDP | 11,961 | 11,961.0 | |||
1-Mellalieu, Robert | Grn | 2,436 | 2,436.0 | |||
fptp.59006 |
This data can not be used to predict outcomes for individual candidates. | 1-Strahl, Mark | Con | 21,445 | 21,445.0 | ✔ |
1-De Jaeger, Louis | Lib | 17,114 | 17,114.0 | |||
1-MacPherson, Seonaigh | NDP | 9,218 | 9,218.0 | |||
1-Cheney, Thomas | Grn | 2,386 | 2,386.0 | |||
1-Johnson, Alexander | Lbt | 416 | 416.0 | |||
1-O'Donnell, Dorothy-Jean | M-L | 82 | 82.0 | |||
fptp.59007 |
This data can not be used to predict outcomes for individual candidates. | 1-Aldag, John | Lib | 24,617 | 24,617.0 | ✔ |
1-Drysdale, Dean | Con | 18,800 | 18,800.0 | |||
1-Smith, Rebecca | NDP | 8,463 | 8,463.0 | |||
1-Anderson, Scott | Grn | 2,195 | 2,195.0 | |||
fptp.59008 |
This data can not be used to predict outcomes for individual candidates. | 1-McKinnon, Ron | Lib | 19,938 | 19,938.0 | ✔ |
1-Horne, Douglas | Con | 18,083 | 18,083.0 | |||
1-Norman, Sara | NDP | 15,400 | 15,400.0 | |||
1-Nickason, Brad | Grn | 2,076 | 2,076.0 | |||
1-Dahlby, Lewis Clarke | Lbt | 1,014 | 1,014.0 | |||
fptp.59009 |
This data can not be used to predict outcomes for individual candidates. | 1-Johns, Gord | NDP | 26,582 | 26,582.0 | ✔ |
1-Duncan, John | Con | 19,714 | 19,714.0 | |||
1-Powell-Davidson, Carrie | Lib | 15,212 | 15,212.0 | |||
1-Sollitt, Glenn | Grn | 8,201 | 8,201.0 | |||
1-Biley, Barbara | M-L | 140 | 140.0 | |||
fptp.59010 |
This data can not be used to predict outcomes for individual candidates. | 1-MacGregor, Alistair | NDP | 22,200 | 22,200.0 | ✔ |
1-Krayenhoff, Luke | Lib | 14,685 | 14,685.0 | |||
1-Barker, Martin | Con | 14,091 | 14,091.0 | |||
1-Hunt-Jinnouchi, Fran | Grn | 10,462 | 10,462.0 | |||
1-Haythornthwaite, Alastair | M-L | 340 | 340.0 | |||
fptp.59011 |
This data can not be used to predict outcomes for individual candidates. | 1-Qualtrough, Carla | Lib | 27,355 | 27,355.0 | ✔ |
1-Findlay, Kerry-Lynne | Con | 18,255 | 18,255.0 | |||
1-Leveque, Jeremy | NDP | 8,311 | 8,311.0 | |||
1-Devellano, Anthony Edward | Grn | 1,768 | 1,768.0 | |||
fptp.59012 |
This data can not be used to predict outcomes for individual candidates. | 1-Hardie, Ken | Lib | 22,871 | 22,871.0 | ✔ |
1-Grewal, Nina | Con | 14,275 | 14,275.0 | |||
1-Begg, Garry | NDP | 10,463 | 10,463.0 | |||
1-Hosein, Richard | Grn | 1,154 | 1,154.0 | |||
fptp.59013 |
This data can not be used to predict outcomes for individual candidates. | 1-McLeod, Cathy | Con | 24,595 | 24,595.0 | ✔ |
1-Sundhu, Bill | NDP | 21,466 | 21,466.0 | |||
1-Powrie, Steve | Lib | 21,215 | 21,215.0 | |||
1-Greenwood, Matthew | Grn | 2,489 | 2,489.0 | |||
fptp.59014 |
This data can not be used to predict outcomes for individual candidates. | 1-Fuhr, Stephen | Lib | 29,614 | 29,614.0 | ✔ |
1-Cannan, Ron | Con | 25,502 | 25,502.0 | |||
1-Bowman, Norah Mary | NDP | 9,039 | 9,039.0 | |||
fptp.59015 |
This data can not be used to predict outcomes for individual candidates. | 1-Stetski, Wayne | NDP | 23,529 | 23,529.0 | ✔ |
1-Wilks, David | Con | 23,247 | 23,247.0 | |||
1-Johnston, Don | Lib | 12,315 | 12,315.0 | |||
1-Green, Bill | Grn | 4,115 | 4,115.0 | |||
fptp.59016 |
This data can not be used to predict outcomes for individual candidates. | 1-Warawa, Mark | Con | 27,333 | 27,333.0 | ✔ |
1-Jensen, Leon | Lib | 21,894 | 21,894.0 | |||
1-Sangster, Margot | NDP | 7,490 | 7,490.0 | |||
1-Dhillon, Simmi Saminder Kaur | Grn | 2,644 | 2,644.0 | |||
1-Southern, Lauren | Lbt | 535 | 535.0 | |||
fptp.59017 |
This data can not be used to predict outcomes for individual candidates. | 1-Sidhu, Jati | Lib | 16,625 | 16,625.0 | ✔ |
1-Vis, Brad | Con | 15,587 | 15,587.0 | |||
1-Adamson, Dennis | NDP | 9,174 | 9,174.0 | |||
1-Green, Arthur Alexander | Grn | 2,293 | 2,293.0 | |||
1-Scott, Wyatt | Ind | 914 | 914.0 | |||
1-Wismer, Elaine | M-L | 58 | 58.0 | |||
fptp.59018 |
This data can not be used to predict outcomes for individual candidates. | 1-Malcolmson, Sheila | NDP | 23,651 | 23,651.0 | ✔ |
1-Tessier, Tim | Lib | 16,753 | 16,753.0 | |||
1-MacDonald, Mark Allen | Con | 16,637 | 16,637.0 | |||
1-Manly, Paul | Grn | 14,074 | 14,074.0 | |||
1-East, Jack | M-L | 126 | 126.0 | |||
fptp.59019 |
This data can not be used to predict outcomes for individual candidates. | 1-Julian, Peter | NDP | 22,876 | 22,876.0 | ✔ |
1-Ramnarine, Sasha | Lib | 15,253 | 15,253.0 | |||
1-Ellis, ChloУЉ | Con | 10,512 | 10,512.0 | |||
1-Routledge, Kyle | Grn | 2,487 | 2,487.0 | |||
1-Brocki, Rex | Lbt | 1,368 | 1,368.0 | |||
1-Theriault, Joseph | M-L | 146 | 146.0 | |||
fptp.59020 |
This data can not be used to predict outcomes for individual candidates. | 1-Arnold, Mel | Con | 27,490 | 27,490.0 | ✔ |
1-Derkaz, Cindy | Lib | 20,949 | 20,949.0 | |||
1-Gingras, Jacqui | NDP | 17,907 | 17,907.0 | |||
1-George, Chris | Grn | 3,608 | 3,608.0 | |||
fptp.59021 |
This data can not be used to predict outcomes for individual candidates. | 1-Wilkinson, Jonathan | Lib | 36,458 | 36,458.0 | ✔ |
1-Saxton, Andrew | Con | 17,301 | 17,301.0 | |||
1-Martin, Claire | Grn | 5,350 | 5,350.0 | |||
1-Thomas, Carleen | NDP | 5,015 | 5,015.0 | |||
1-Yetisen, Ismet | Lbt | 136 | 136.0 | |||
1-Azad, Payam | Ind | 94 | 94.0 | |||
fptp.59022 |
This data can not be used to predict outcomes for individual candidates. | 1-Ruimy, Dan | Lib | 17,673 | 17,673.0 | ✔ |
1-Murray, Mike | Con | 16,373 | 16,373.0 | |||
1-D'Eith, Bob | NDP | 15,450 | 15,450.0 | |||
1-Tam, Peter | Grn | 2,202 | 2,202.0 | |||
1-Ranta, Steve | Ind | 452 | 452.0 | |||
fptp.59023 |
This data can not be used to predict outcomes for individual candidates. | 1-Donnelly, Fin | NDP | 19,706 | 19,706.0 | ✔ |
1-Adcock, Jessie | Lib | 16,888 | 16,888.0 | |||
1-Laidler, Tim | Con | 16,112 | 16,112.0 | |||
1-Madsen, Marcus | Grn | 1,878 | 1,878.0 | |||
1-Verrier, Roland | M-L | 83 | 83.0 | |||
fptp.59024 |
This data can not be used to predict outcomes for individual candidates. | 1-Zimmer, Bob | Con | 27,237 | 27,237.0 | ✔ |
1-Shaw, Matt | Lib | 12,913 | 12,913.0 | |||
1-Dickie, Kathi | NDP | 8,014 | 8,014.0 | |||
1-Biggar, Elizabeth | Grn | 2,672 | 2,672.0 | |||
1-Keller, W. Todd | Lbt | 559 | 559.0 | |||
1-Blackman, Barry | Oth | 464 | 464.0 | |||
fptp.59025 |
This data can not be used to predict outcomes for individual candidates. | 1-Wong, Alice | Con | 17,622 | 17,622.0 | ✔ |
1-Woo, Lawrence | Lib | 16,486 | 16,486.0 | |||
1-Trovato, Jack | NDP | 4,602 | 4,602.0 | |||
1-Chiu, Vincent | Grn | 1,152 | 1,152.0 | |||
fptp.59026 |
This data can not be used to predict outcomes for individual candidates. | 1-Garrison, Randall | NDP | 23,836 | 23,836.0 | ✔ |
1-Merner, David | Lib | 18,622 | 18,622.0 | |||
1-Litman, Frances | Grn | 13,575 | 13,575.0 | |||
1-Lukens, Shari | Con | 11,912 | 11,912.0 | |||
1-Strandlund, Tyson | Com | 136 | 136.0 | |||
fptp.59027 |
This data can not be used to predict outcomes for individual candidates. | 1-May, Elizabeth | Grn | 37,070 | 37,070.0 | ✔ |
1-Boyd, Robert | Con | 13,260 | 13,260.0 | |||
1-Kane, Tim | Lib | 11,380 | 11,380.0 | |||
1-Cormier, Alicia | NDP | 6,181 | 6,181.0 | |||
1-Porter, Meghan Jess | Lbt | 249 | 249.0 | |||
fptp.59028 |
This data can not be used to predict outcomes for individual candidates. | 1-Cullen, Nathan | NDP | 22,531 | 22,531.0 | ✔ |
1-Nesbitt, Tyler | Con | 10,936 | 10,936.0 | |||
1-Layton, Brad | Lib | 8,257 | 8,257.0 | |||
1-Parnell, Jeannie | Grn | 1,605 | 1,605.0 | |||
1-Spratt, Don | CHP | 780 | 780.0 | |||
fptp.59029 |
This data can not be used to predict outcomes for individual candidates. | 1-Cannings, Richard | NDP | 24,823 | 24,823.0 | ✔ |
1-Neufeld, Marshall | Con | 19,871 | 19,871.0 | |||
1-Denesiuk, Connie | Lib | 18,732 | 18,732.0 | |||
1-Troy, Samantha | Grn | 2,792 | 2,792.0 | |||
1-Gray, Brian | Ind | 376 | 376.0 | |||
fptp.59030 |
This data can not be used to predict outcomes for individual candidates. | 1-Watts, Dianne Lynn | Con | 24,934 | 24,934.0 | ✔ |
1-Higginbotham, Judy | Lib | 23,495 | 23,495.0 | |||
1-Hobby, Pixie | NDP | 5,895 | 5,895.0 | |||
1-Colero, Larry | Grn | 1,938 | 1,938.0 | |||
1-Hu, Bonnie | Lbt | 261 | 261.0 | |||
1-Marlatt, Brian | Oth | 108 | 108.0 | |||
fptp.59031 |
This data can not be used to predict outcomes for individual candidates. | 1-Peschisolido, Joe | Lib | 19,486 | 19,486.0 | ✔ |
1-Chiu, Kenny | Con | 16,630 | 16,630.0 | |||
1-Stewart, Scott | NDP | 5,248 | 5,248.0 | |||
1-Shaw, Laura-Leah | Grn | 1,587 | 1,587.0 | |||
1-Swanston, Matthew | Lbt | 274 | 274.0 | |||
fptp.59032 |
This data can not be used to predict outcomes for individual candidates. | 1-Sarai, Randeep | Lib | 19,471 | 19,471.0 | ✔ |
1-Sandhu, Jasbir | NDP | 12,992 | 12,992.0 | |||
1-Thind, Sucha | Con | 8,556 | 8,556.0 | |||
1-Deneault, Jeremiah | Grn | 1,493 | 1,493.0 | |||
1-Pielak, Kevin | CHP | 553 | 553.0 | |||
1-Kahlon, Iqbal | Com | 133 | 133.0 | |||
fptp.59033 |
This data can not be used to predict outcomes for individual candidates. | 1-Dhaliwal, Sukh | Lib | 24,869 | 24,869.0 | ✔ |
1-Sims, Jinny | NDP | 11,602 | 11,602.0 | |||
1-Singh, Harpreet | Con | 6,978 | 6,978.0 | |||
1-Sangha, Pamela | Grn | 975 | 975.0 | |||
fptp.59034 |
This data can not be used to predict outcomes for individual candidates. | 1-Fry, Hedy | Lib | 32,554 | 32,554.0 | ✔ |
1-Barnes, Constance | NDP | 11,618 | 11,618.0 | |||
1-Allan, Elaine | Con | 9,818 | 9,818.0 | |||
1-Barrett, Lisa | Grn | 3,370 | 3,370.0 | |||
1-Clarke, John | Lbt | 614 | 614.0 | |||
1-Hill, Michael | M-L | 74 | 74.0 | |||
fptp.59035 |
This data can not be used to predict outcomes for individual candidates. | 1-Kwan, Jenny | NDP | 29,316 | 29,316.0 | ✔ |
1-Wong, Edward | Lib | 16,532 | 16,532.0 | |||
1-Low, James | Con | 6,322 | 6,322.0 | |||
1-Regan, Wes | Grn | 5,395 | 5,395.0 | |||
1-Marcus, Peter | Com | 525 | 525.0 | |||
1-Millar, D. Alex | Ind | 216 | 216.0 | |||
1-Jamieson, Anne | M-L | 214 | 214.0 | |||
1-Vulliez, Shawn | Oth | 188 | 188.0 | |||
fptp.59036 |
This data can not be used to predict outcomes for individual candidates. | 1-Wilson-Raybould, Jody | Lib | 23,643 | 23,643.0 | ✔ |
1-Oreck, Mira | NDP | 14,462 | 14,462.0 | |||
1-Broshko, Erinn | Con | 14,028 | 14,028.0 | |||
1-Barkusky, Michael | Grn | 1,691 | 1,691.0 | |||
fptp.59037 |
This data can not be used to predict outcomes for individual candidates. | 1-Blaney, Rachel | NDP | 24,340 | 24,340.0 | ✔ |
1-Smith, Laura | Con | 15,840 | 15,840.0 | |||
1-Schwarzhoff, Peter | Lib | 15,416 | 15,416.0 | |||
1-Sayers, Brenda | Grn | 4,940 | 4,940.0 | |||
fptp.59038 |
This data can not be used to predict outcomes for individual candidates. | 1-Davies, Don | NDP | 20,763 | 20,763.0 | ✔ |
1-Kou, Steven | Lib | 12,625 | 12,625.0 | |||
1-Quimpo, Jojo | Con | 9,538 | 9,538.0 | |||
1-Moore, Catherine | Grn | 1,476 | 1,476.0 | |||
1-Kadioglu, Matt | Lbt | 468 | 468.0 | |||
1-Cariou, Kimball | Com | 445 | 445.0 | |||
1-Petersen, Donna | M-L | 81 | 81.0 | |||
fptp.59039 |
This data can not be used to predict outcomes for individual candidates. | 1-Murray, Joyce | Lib | 31,102 | 31,102.0 | ✔ |
1-Lockhart, Blair | Con | 13,683 | 13,683.0 | |||
1-Andrews, Scott | NDP | 5,748 | 5,748.0 | |||
1-Constable, Kris | Grn | 2,229 | 2,229.0 | |||
1-Walper, Trevor Clinton | Oth | 86 | 151.0 | |||
1-Boyer, Marc | Oth | 65 | 0.0 | |||
1-Caron, Jean-FranУЇois | Ind | 59 | 59.0 | |||
fptp.59040 |
This data can not be used to predict outcomes for individual candidates. | 1-Sajjan, Harjit S. | Lib | 21,773 | 21,773.0 | ✔ |
1-Young, Wai | Con | 15,115 | 15,115.0 | |||
1-Nijjar, Amandeep | NDP | 6,230 | 6,230.0 | |||
1-Ng, Elain | Grn | 1,149 | 1,149.0 | |||
1-Boylan, Charles | M-L | 178 | 178.0 | |||
1-Gupta, Raj | Oth | 166 | 166.0 | |||
fptp.59041 |
This data can not be used to predict outcomes for individual candidates. | 1-Rankin, Murray | NDP | 30,397 | 30,397.0 | ✔ |
1-Roberts, Jo-Ann | Grn | 23,666 | 23,666.0 | |||
1-Thomas, Cheryl | Lib | 8,489 | 8,489.0 | |||
1-Rizzuti, John | Con | 8,480 | 8,480.0 | |||
1-Lowe, Art | Lbt | 539 | 539.0 | |||
1-Reichert, Jordan | Oth | 200 | 200.0 | |||
1-Andersen, Saul | Ind | 124 | 124.0 | |||
fptp.59042 |
This data can not be used to predict outcomes for individual candidates. | 1-Goldsmith-Jones, Pam | Lib | 36,300 | 36,300.0 | ✔ |
1-Weston, John | Con | 17,411 | 17,411.0 | |||
1-Koopman, Larry | NDP | 6,554 | 6,554.0 | |||
1-Melamed, Ken | Grn | 5,907 | 5,907.0 | |||
1-Kehler, Robin | Oth | 180 | 180.0 | |||
1-Chapman, Carol-Lee | M-L | 106 | 106.0 |
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-Maguire, Larry | Con | 20,666 | 20,666.0 | ✔ |
1-Wyman, Jodi | Lib | 15,338 | 15,338.0 | |||
1-Wastasecoot, Melissa Joy | NDP | 2,576 | 2,576.0 | |||
1-Neufeld, David | Grn | 2,526 | 2,526.0 | |||
fptp.46002 |
This data can not be used to predict outcomes for individual candidates. | 1-Eyolfson, Doug | Lib | 24,531 | 24,531.0 | ✔ |
1-Fletcher, Steven | Con | 18,408 | 18,408.0 | |||
1-Paulley, Tom | NDP | 2,842 | 2,842.0 | |||
1-Nichols, Kevin | Grn | 1,376 | 1,376.0 | |||
fptp.46003 |
This data can not be used to predict outcomes for individual candidates. | 1-Ashton, Niki | NDP | 13,487 | 13,487.0 | ✔ |
1-Chartrand, Rebecca | Lib | 12,575 | 12,575.0 | |||
1-Mirecki, Kyle G. | Con | 3,090 | 3,090.0 | |||
1-Hastmann, August | Grn | 537 | 537.0 | |||
1-Linnick, Zachary | Lbt | 255 | 255.0 | |||
fptp.46004 |
This data can not be used to predict outcomes for individual candidates. | 1-Sopuck, Robert | Con | 19,276 | 19,276.0 | ✔ |
1-PichУЉ, Ray | Lib | 12,276 | 12,276.0 | |||
1-Lewycky, Laverne M. | NDP | 5,097 | 5,097.0 | |||
1-Mark, Inky | Ind | 3,357 | 3,357.0 | |||
1-Storey, Kate | Grn | 1,592 | 1,592.0 | |||
fptp.46005 |
This data can not be used to predict outcomes for individual candidates. | 1-Blaikie, Daniel | NDP | 14,709 | 14,709.0 | ✔ |
1-Toet, Lawrence | Con | 14,648 | 14,648.0 | |||
1-Richardson-Lipon, Andrea | Lib | 12,713 | 12,713.0 | |||
1-Parke, Kim | Grn | 1,016 | 1,016.0 | |||
fptp.46006 |
This data can not be used to predict outcomes for individual candidates. | 1-Mihychuk, MaryAnn | Lib | 18,717 | 18,717.0 | ✔ |
1-Bell, Jim | Con | 17,478 | 17,478.0 | |||
1-Hrynyk, Suzanne | NDP | 6,270 | 6,270.0 | |||
1-Stairs, Steven | Grn | 783 | 783.0 | |||
1-Reimer, David | CHP | 485 | 485.0 | |||
1-Hiebert, Eduard Walter | Ind | 142 | 142.0 | |||
fptp.46007 |
This data can not be used to predict outcomes for individual candidates. | 1-Bergen, Candice | Con | 25,060 | 25,060.0 | ✔ |
1-Werbiski, Ken | Lib | 10,621 | 10,621.0 | |||
1-Harder, Dean | NDP | 2,554 | 2,554.0 | |||
1-Eert, Beverley | Grn | 1,637 | 1,637.0 | |||
1-Dondo, Jerome | CHP | 1,315 | 1,315.0 | |||
fptp.46008 |
This data can not be used to predict outcomes for individual candidates. | 1-Falk, Ted | Con | 25,086 | 25,086.0 | ✔ |
1-Hayward, Terry | Lib | 15,509 | 15,509.0 | |||
1-Lilley, Les | NDP | 2,371 | 2,371.0 | |||
1-Wheeldon, Jeff | Grn | 1,779 | 1,779.0 | |||
fptp.46009 |
This data can not be used to predict outcomes for individual candidates. | 1-Vandal, Dan | Lib | 28,530 | 28,530.0 | ✔ |
1-Catellier, FranУЇois | Con | 14,005 | 14,005.0 | |||
1-Selby, Erin | NDP | 5,169 | 5,169.0 | |||
1-Zaretski, Glenn | Grn | 1,119 | 1,119.0 | |||
fptp.46010 |
This data can not be used to predict outcomes for individual candidates. | 1-Bezan, James | Con | 25,617 | 25,617.0 | ✔ |
1-Levy, Joanne | Lib | 15,508 | 15,508.0 | |||
1-Chief, Deborah | NDP | 5,649 | 5,649.0 | |||
1-James, Wayne | Grn | 1,707 | 1,707.0 | |||
1-Grant, Donald L. | Lbt | 882 | 882.0 | |||
fptp.46011 |
This data can not be used to predict outcomes for individual candidates. | 1-Ouellette, Robert-Falcon | Lib | 18,471 | 18,471.0 | ✔ |
1-Martin, Pat | NDP | 9,490 | 9,490.0 | |||
1-Szarkiewicz, Allie | Con | 4,189 | 4,189.0 | |||
1-Woodstock, Don | Grn | 1,379 | 1,379.0 | |||
1-Miller, Scott | CHP | 221 | 221.0 | |||
1-Rankin, Darrell | Com | 135 | 135.0 | |||
fptp.46012 |
This data can not be used to predict outcomes for individual candidates. | 1-Lamoureux, Kevin | Lib | 23,402 | 23,402.0 | ✔ |
1-Turka, Harpreet | Con | 5,193 | 5,193.0 | |||
1-Abad, Levy | NDP | 4,543 | 4,543.0 | |||
1-Redekopp, John | Grn | 826 | 826.0 | |||
fptp.46013 |
This data can not be used to predict outcomes for individual candidates. | 1-Duguid, Terry | Lib | 28,096 | 28,096.0 | ✔ |
1-Giesbrecht, Gordon | Con | 16,709 | 16,709.0 | |||
1-Goertzen, Brianne | NDP | 2,404 | 2,404.0 | |||
1-Smith, Adam | Grn | 990 | 990.0 | |||
fptp.46014 |
This data can not be used to predict outcomes for individual candidates. | 1-Carr, Jim | Lib | 31,993 | 31,993.0 | ✔ |
1-Bateman, Joyce | Con | 15,102 | 15,102.0 | |||
1-Henderson, Matt | NDP | 4,799 | 4,799.0 | |||
1-Park, Andrew | Grn | 1,677 | 1,677.0 |
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-Cormier, Serge | Lib | 25,845 | 25,845.0 | ✔ |
1-Godin, Jason | NDP | 20,079 | 20,079.0 | |||
1-Girouard-Riordon, Riba | Con | 3,852 | 3,852.0 | |||
1-Breau, Dominique | Grn | 1,187 | 1,187.0 | |||
fptp.13002 |
This data can not be used to predict outcomes for individual candidates. | 1-LeBlanc, Dominic | Lib | 36,534 | 36,534.0 | ✔ |
1-Boudreau, HУЉlУЈne | NDP | 8,009 | 8,009.0 | |||
1-Bastarache, Ann | Con | 6,017 | 6,017.0 | |||
1-King, Kevin | Grn | 2,376 | 2,376.0 | |||
fptp.13003 |
This data can not be used to predict outcomes for individual candidates. | 1-DeCourcey, Matt | Lib | 23,016 | 23,016.0 | ✔ |
1-Ashfield, Keith | Con | 13,280 | 13,280.0 | |||
1-Babineau, Mary Lou | Grn | 5,804 | 5,804.0 | |||
1-Scott-Levesque, Sharon | NDP | 4,622 | 4,622.0 | |||
fptp.13004 |
This data can not be used to predict outcomes for individual candidates. | 1-Lockhart, Alaina | Lib | 19,136 | 19,136.0 | ✔ |
1-Moore, Rob | Con | 17,361 | 17,361.0 | |||
1-McKenzie, Jennifer | NDP | 8,204 | 8,204.0 | |||
1-Coburn, Stephanie | Grn | 1,823 | 1,823.0 | |||
1-Amos, David Raymond | Ind | 296 | 296.0 | |||
fptp.13005 |
This data can not be used to predict outcomes for individual candidates. | 1-Arseneault, RenУЉ | Lib | 20,778 | 20,778.0 | ✔ |
1-L'Italien, Rosaire | NDP | 9,670 | 9,670.0 | |||
1-Valcourt, Bernard | Con | 6,151 | 6,151.0 | |||
1-Aubin, FranУЇoise | Grn | 707 | 707.0 | |||
fptp.13006 |
This data can not be used to predict outcomes for individual candidates. | 1-Finnigan, Pat | Lib | 17,202 | 17,202.0 | ✔ |
1-O'Neill-Gordon, Tilly | Con | 12,476 | 12,476.0 | |||
1-Colford, Patrick | NDP | 5,588 | 5,588.0 | |||
1-Clark, Matthew Ian | Grn | 1,098 | 1,098.0 | |||
fptp.13007 |
This data can not be used to predict outcomes for individual candidates. | 1-Petitpas Taylor, Ginette | Lib | 30,054 | 30,054.0 | ✔ |
1-Goguen, Robert | Con | 11,168 | 11,168.0 | |||
1-LeBlanc, Luc | NDP | 8,420 | 8,420.0 | |||
1-Melanson, Luc | Grn | 2,399 | 2,399.0 | |||
fptp.13008 |
This data can not be used to predict outcomes for individual candidates. | 1-Ludwig, Karen | Lib | 16,656 | 16,656.0 | ✔ |
1-Williamson, John | Con | 14,625 | 14,625.0 | |||
1-Graham, Andrew | NDP | 4,768 | 4,768.0 | |||
1-MacIntosh, Gayla | Grn | 1,877 | 1,877.0 | |||
fptp.13009 |
This data can not be used to predict outcomes for individual candidates. | 1-Long, Wayne | Lib | 20,634 | 20,634.0 | ✔ |
1-Weston, Rodney | Con | 12,915 | 12,915.0 | |||
1-Griffin, AJ | NDP | 7,411 | 7,411.0 | |||
1-Murphy, Sharon | Grn | 1,321 | 1,321.0 | |||
fptp.13010 |
This data can not be used to predict outcomes for individual candidates. | 1-Harvey, TJ | Lib | 17,909 | 17,909.0 | ✔ |
1-Bragdon, Richard | Con | 14,225 | 14,225.0 | |||
1-Kitchen, Robert | NDP | 4,334 | 4,334.0 | |||
1-Wishart, Terry | Grn | 1,959 | 1,959.0 |
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-McDonald, Ken | Lib | 23,528 | 23,528.0 | ✔ |
1-Andrews, Scott | Ind | 7,501 | 7,501.0 | |||
1-Baldwin, Jeannie | NDP | 6,075 | 6,075.0 | |||
1-Barnett, Lorraine E. | Con | 4,670 | 4,670.0 | |||
1-Byrne-Puumala, Krista | Grn | 228 | 228.0 | |||
1-McCreath, Jennifer | Oth | 84 | 84.0 | |||
fptp.10002 |
This data can not be used to predict outcomes for individual candidates. | 1-Foote, Judy M. | Lib | 28,704 | 28,704.0 | ✔ |
1-Windsor, Mike | Con | 3,534 | 3,534.0 | |||
1-Brown, Jenn | NDP | 2,557 | 2,557.0 | |||
1-Colbourne, Tyler John | Grn | 297 | 297.0 | |||
fptp.10003 |
This data can not be used to predict outcomes for individual candidates. | 1-Simms, Scott | Lib | 26,523 | 26,523.0 | ✔ |
1-O'Brien, Kevin George | Con | 6,479 | 6,479.0 | |||
1-Menchenton, Claudette | NDP | 2,175 | 2,175.0 | |||
1-Perry, Elizabeth | Grn | 271 | 271.0 | |||
fptp.10004 |
This data can not be used to predict outcomes for individual candidates. | 1-Jones, Yvonne | Lib | 8,878 | 8,878.0 | ✔ |
1-Rudkowski, Edward | NDP | 1,779 | 1,779.0 | |||
1-Penashue, Peter | Con | 1,716 | 1,716.0 | |||
fptp.10005 |
This data can not be used to predict outcomes for individual candidates. | 1-Hutchings, Gudie | Lib | 30,889 | 30,889.0 | ✔ |
1-Ruth, Wayne | Con | 5,085 | 5,085.0 | |||
1-Babstock, Devon | NDP | 4,739 | 4,739.0 | |||
1-Cormier, Terry | Grn | 1,111 | 1,111.0 | |||
fptp.10006 |
This data can not be used to predict outcomes for individual candidates. | 1-Whalen, Nick | Lib | 20,974 | 20,974.0 | ✔ |
1-Harris, Jack | NDP | 20,328 | 20,328.0 | |||
1-Stapleton, Deanne | Con | 2,938 | 2,938.0 | |||
1-Peters, David Anthony | Grn | 500 | 500.0 | |||
1-Burton, Sean | Com | 140 | 140.0 | |||
fptp.10007 |
This data can not be used to predict outcomes for individual candidates. | 1-O'Regan, Seamus | Lib | 25,922 | 25,922.0 | ✔ |
1-Cleary, Ryan | NDP | 16,467 | 16,467.0 | |||
1-Krol, Marek | Con | 2,047 | 2,047.0 | |||
1-McLean, Jackson | Grn | 365 | 365.0 |
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-Cuzner, Rodger | Lib | 32,163 | 32,163.0 | ✔ |
1-Rodgers, Adam Daniel | Con | 6,246 | 6,246.0 | |||
1-Smith, Michelle | NDP | 3,547 | 3,547.0 | |||
1-Coady, Maria Goretti | Grn | 1,281 | 1,281.0 | |||
fptp.12002 |
This data can not be used to predict outcomes for individual candidates. | 1-Fraser, Sean | Lib | 25,909 | 25,909.0 | ✔ |
1-DeLorey, Fred | Con | 11,418 | 11,418.0 | |||
1-Landry, Ross | NDP | 4,532 | 4,532.0 | |||
1-Hachey, David | Grn | 1,834 | 1,834.0 | |||
1-MacKenzie, Alexander J. | Ind | 570 | 570.0 | |||
fptp.12003 |
This data can not be used to predict outcomes for individual candidates. | 1-Casey, Bill | Lib | 29,527 | 29,527.0 | ✔ |
1-Armstrong, Scott | Con | 12,257 | 12,257.0 | |||
1-Robinson, Wendy | NDP | 2,647 | 2,647.0 | |||
1-Blanch, Jason Matthew | Grn | 1,650 | 1,650.0 | |||
1-Jackson, Kenneth | Ind | 181 | 251.0 | |||
1-Plett, Richard Trueman | Ind | 70 | 0.0 | |||
fptp.12004 |
This data can not be used to predict outcomes for individual candidates. | 1-Fisher, Darren | Lib | 30,407 | 30,407.0 | ✔ |
1-Chisholm, Robert | NDP | 12,757 | 12,757.0 | |||
1-Cole, Jason | Con | 7,331 | 7,331.0 | |||
1-Nheiley, Brynn | Grn | 1,775 | 1,775.0 | |||
fptp.12005 |
This data can not be used to predict outcomes for individual candidates. | 1-Fillmore, Andy | Lib | 27,431 | 27,431.0 | ✔ |
1-Leslie, Megan | NDP | 19,162 | 19,162.0 | |||
1-Carvery, Irvine | Con | 4,564 | 4,564.0 | |||
1-Trappenberg, Thomas | Grn | 1,745 | 1,745.0 | |||
1-Bezanson, Allan | M-L | 130 | 130.0 | |||
fptp.12006 |
This data can not be used to predict outcomes for individual candidates. | 1-Regan, Geoff | Lib | 34,377 | 34,377.0 | ✔ |
1-McGinnis, Michael | Con | 7,837 | 7,837.0 | |||
1-Hussey, Joanne | NDP | 5,894 | 5,894.0 | |||
1-Zurawski, Richard Henryk | Grn | 1,971 | 1,971.0 | |||
fptp.12007 |
This data can not be used to predict outcomes for individual candidates. | 1-Brison, Scott | Lib | 33,026 | 33,026.0 | ✔ |
1-Morse, David | Con | 8,677 | 8,677.0 | |||
1-Curry, Hugh | NDP | 2,998 | 2,998.0 | |||
1-Cooper, Will | Grn | 1,569 | 1,569.0 | |||
1-Brown-Hodges, Megan | Oth | 184 | 184.0 | |||
1-Twohig, Edd | Ind | 132 | 232.0 | |||
1-Williams, Clifford James | Ind | 100 | 0.0 | |||
fptp.12008 |
This data can not be used to predict outcomes for individual candidates. | 1-Samson, Darrell | Lib | 23,161 | 23,161.0 | ✔ |
1-Stoffer, Peter | NDP | 16,613 | 16,613.0 | |||
1-Strickland, Robert Thomas | Con | 7,186 | 7,186.0 | |||
1-Montgomery, Mike | Grn | 1,341 | 1,341.0 | |||
fptp.12009 |
This data can not be used to predict outcomes for individual candidates. | 1-Jordan, Bernadette | Lib | 30,045 | 30,045.0 | ✔ |
1-Clark, Richard | Con | 11,905 | 11,905.0 | |||
1-Godbold, Alex | NDP | 8,883 | 8,883.0 | |||
1-Biggar, Richard | Grn | 1,534 | 1,534.0 | |||
1-Bruhm, Trevor | Ind | 257 | 257.0 | |||
1-Barry, Ryan | Com | 151 | 151.0 | |||
fptp.12010 |
This data can not be used to predict outcomes for individual candidates. | 1-Eyking, Mark | Lib | 29,995 | 29,995.0 | ✔ |
1-Dutt, Monika | NDP | 5,351 | 5,351.0 | |||
1-Chiasson, John Douglas | Con | 4,360 | 4,360.0 | |||
1-MacKinnon, Adrianna | Grn | 1,026 | 1,026.0 | |||
1-Hiscock, Wayne James | Lbt | 242 | 242.0 | |||
fptp.12011 |
This data can not be used to predict outcomes for individual candidates. | 1-Fraser, Colin | Lib | 28,775 | 28,775.0 | ✔ |
1-LeBlanc, Arnold | Con | 11,916 | 11,916.0 | |||
1-Foster, Greg | NDP | 3,084 | 3,084.0 | |||
1-Walton, Clark | Grn | 1,904 | 1,904.0 |
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-McLeod, Michael | Lib | 9,172 | 9,172.0 | ✔ |
1-Bevington, Dennis Fraser | NDP | 5,783 | 5,783.0 | |||
1-Roland, Floyd | Con | 3,481 | 3,481.0 | |||
1-Moore, John | Grn | 537 | 537.0 |
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-Tootoo, Hunter | Lib | 5,619 | 5,619.0 | ✔ |
1-Anawak, Jack Iyerak | NDP | 3,171 | 3,171.0 | |||
1-Aglukkaq, Leona | Con | 2,956 | 2,956.0 | |||
1-Rocchi, Spencer | Grn | 182 | 182.0 |
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-Holland, Mark | Lib | 31,458 | 31,458.0 | ✔ |
1-Alexander, Chris | Con | 19,374 | 19,374.0 | |||
1-Brown, Stephanie | NDP | 4,630 | 4,630.0 | |||
1-Hill, Jeff | Grn | 788 | 788.0 | |||
1-Kesic, Bob | Oth | 57 | 57.0 | |||
fptp.35002 |
This data can not be used to predict outcomes for individual candidates. | 1-Hughes, Carol | NDP | 16,516 | 16,516.0 | ✔ |
1-Wilson, Heather | Lib | 14,111 | 14,111.0 | |||
1-Robichaud, AndrУЉ | Con | 9,820 | 9,820.0 | |||
1-Orok, Calvin John | Grn | 927 | 927.0 | |||
fptp.35003 |
This data can not be used to predict outcomes for individual candidates. | 1-Alleslev, Leona | Lib | 24,132 | 24,132.0 | ✔ |
1-Menegakis, Costas | Con | 23,039 | 23,039.0 | |||
1-Power, Brenda | NDP | 2,912 | 2,912.0 | |||
1-Ramdeen, Randi | Grn | 654 | 654.0 | |||
1-Bowles, Kyle | Oth | 243 | 243.0 | |||
fptp.35004 |
This data can not be used to predict outcomes for individual candidates. | 1-Brassard, John | Con | 22,901 | 22,901.0 | ✔ |
1-Wilson, Colin | Lib | 18,308 | 18,308.0 | |||
1-Clark, Myrna | NDP | 5,812 | 5,812.0 | |||
1-North, Bonnie | Grn | 1,991 | 1,991.0 | |||
1-Nail, Gary | CHP | 199 | 199.0 | |||
1-Sakula, Jeff | Oth | 130 | 130.0 | |||
fptp.35005 |
This data can not be used to predict outcomes for individual candidates. | 1-Nuttall, Alex | Con | 21,091 | 21,091.0 | ✔ |
1-Tamblyn, Brian | Lib | 21,005 | 21,005.0 | |||
1-White, Ellen | NDP | 5,202 | 5,202.0 | |||
1-Lancaster, Marty | Grn | 2,648 | 2,648.0 | |||
1-Roskam, Darren | Lbt | 401 | 401.0 | |||
1-Faerber, Ram | Ind | 188 | 188.0 | |||
fptp.35006 |
This data can not be used to predict outcomes for individual candidates. | 1-Ellis, Neil | Lib | 29,281 | 29,281.0 | ✔ |
1-Jenkins, Jodie | Con | 19,781 | 19,781.0 | |||
1-Cassidy, Terry | NDP | 7,001 | 7,001.0 | |||
1-Nelems, Rachel | Grn | 1,278 | 1,278.0 | |||
1-Tuck, Trueman | Ind | 372 | 372.0 | |||
fptp.35007 |
This data can not be used to predict outcomes for individual candidates. | 1-Erskine-Smith, Nathaniel | Lib | 27,458 | 27,458.0 | ✔ |
1-Kellway, Matthew | NDP | 17,113 | 17,113.0 | |||
1-Burrows, Bill | Con | 9,124 | 9,124.0 | |||
1-Sach, Randall | Grn | 1,433 | 1,433.0 | |||
1-Sears, James | Ind | 254 | 297.0 | |||
1-Carter, Roger | M-L | 105 | 105.0 | |||
1-Surjanac, Peter | Ind | 43 | 0.0 | |||
fptp.35008 |
This data can not be used to predict outcomes for individual candidates. | 1-Sangha, Ramesh | Lib | 19,277 | 19,277.0 | ✔ |
1-Gosal, Bal | Con | 13,345 | 13,345.0 | |||
1-Keenan, Rosemary | NDP | 5,993 | 5,993.0 | |||
1-Bottcher, Saul Marquard T. | Grn | 844 | 844.0 | |||
1-Chilelli, Frank | M-L | 173 | 173.0 | |||
fptp.35009 |
This data can not be used to predict outcomes for individual candidates. | 1-Grewal, Raj | Lib | 23,652 | 23,652.0 | ✔ |
1-Bajaj, Naval | Con | 10,642 | 10,642.0 | |||
1-Kahlon, Harbaljit Singh | NDP | 10,400 | 10,400.0 | |||
1-Lacroix, Kyle | Grn | 512 | 512.0 | |||
fptp.35010 |
This data can not be used to predict outcomes for individual candidates. | 1-Sahota, Ruby | Lib | 23,297 | 23,297.0 | ✔ |
1-Gill, Parm | Con | 15,888 | 15,888.0 | |||
1-Singh, Martin | NDP | 7,946 | 7,946.0 | |||
1-Thornham, Pauline | Grn | 915 | 915.0 | |||
1-Hundal, Harinderpal | Com | 120 | 120.0 | |||
fptp.35011 |
This data can not be used to predict outcomes for individual candidates. | 1-Sidhu, Sonia | Lib | 23,681 | 23,681.0 | ✔ |
1-Seeback, Kyle | Con | 15,929 | 15,929.0 | |||
1-Sangha, Amarjit | NDP | 4,843 | 4,843.0 | |||
1-Hatton, Shaun | Grn | 1,011 | 1,011.0 | |||
fptp.35012 |
This data can not be used to predict outcomes for individual candidates. | 1-Khera, Kamal | Lib | 24,256 | 24,256.0 | ✔ |
1-Thind, Ninder | Con | 13,068 | 13,068.0 | |||
1-Patterson, Adaoma | NDP | 5,400 | 5,400.0 | |||
1-Gobinath, Karthika | Grn | 674 | 674.0 | |||
fptp.35013 |
This data can not be used to predict outcomes for individual candidates. | 1-McColeman, Phil | Con | 25,874 | 25,874.0 | ✔ |
1-Takacs, Danielle | Lib | 19,422 | 19,422.0 | |||
1-Laferriere, Marc | NDP | 15,715 | 15,715.0 | |||
1-Brandt, Kevin | Grn | 1,582 | 1,582.0 | |||
1-Ferguson, Rob | Lbt | 515 | 515.0 | |||
1-Turmel, The Engineer | Ind | 164 | 164.0 | |||
fptp.35014 |
This data can not be used to predict outcomes for individual candidates. | 1-Miller, Larry | Con | 26,297 | 26,297.0 | ✔ |
1-Love, Kimberley | Lib | 21,879 | 21,879.0 | |||
1-McLaren, David | NDP | 6,270 | 6,270.0 | |||
1-Albinati, Chris | Grn | 1,887 | 1,887.0 | |||
fptp.35015 |
This data can not be used to predict outcomes for individual candidates. | 1-Gould, Karina | Lib | 32,229 | 32,229.0 | ✔ |
1-Wallace, Mike | Con | 29,780 | 29,780.0 | |||
1-Laird, David | NDP | 6,381 | 6,381.0 | |||
1-Fiorito, Vince | Grn | 1,710 | 1,710.0 | |||
fptp.35016 |
This data can not be used to predict outcomes for individual candidates. | 1-May, Bryan | Lib | 23,024 | 23,024.0 | ✔ |
1-Goodyear, Gary | Con | 20,613 | 20,613.0 | |||
1-Stewart, Bobbi | NDP | 7,397 | 7,397.0 | |||
1-Braniff, Michele | Grn | 1,723 | 1,723.0 | |||
1-Sperduti, Lee | Ind | 474 | 474.0 | |||
1-Couto, Manuel | M-L | 108 | 108.0 | |||
fptp.35017 |
This data can not be used to predict outcomes for individual candidates. | 1-Van Kesteren, Dave | Con | 21,677 | 21,677.0 | ✔ |
1-Omstead, Katie | Lib | 19,351 | 19,351.0 | |||
1-Walsh, Tony | NDP | 9,549 | 9,549.0 | |||
1-Vercouteren, Mark | Grn | 1,394 | 1,394.0 | |||
fptp.35018 |
This data can not be used to predict outcomes for individual candidates. | 1-Dzerowicz, Julie | Lib | 21,947 | 21,947.0 | ✔ |
1-Cash, Andrew | NDP | 20,506 | 20,506.0 | |||
1-Oliveira, Carlos | Con | 5,233 | 5,233.0 | |||
1-Stein, Dan | Grn | 1,530 | 1,530.0 | |||
1-Figueroa, Miguel | Com | 261 | 261.0 | |||
1-Kalevar, Chai | Ind | 107 | 107.0 | |||
fptp.35019 |
This data can not be used to predict outcomes for individual candidates. | 1-Ratansi, Yasmin | Lib | 24,048 | 24,048.0 | ✔ |
1-Harquail, Maureen | Con | 12,155 | 12,155.0 | |||
1-Ahmed, Khalid | NDP | 4,307 | 4,307.0 | |||
1-Sanderson, Laura Elizabeth | Grn | 1,078 | 1,078.0 | |||
fptp.35020 |
This data can not be used to predict outcomes for individual candidates. | 1-Tan, Geng | Lib | 23,494 | 23,494.0 | ✔ |
1-Daniel, Joe | Con | 17,279 | 17,279.0 | |||
1-Sadikali, Akil | NDP | 3,896 | 3,896.0 | |||
1-Brown, Caroline | Grn | 1,018 | 1,018.0 | |||
fptp.35021 |
This data can not be used to predict outcomes for individual candidates. | 1-Oliphant, Rob | Lib | 27,472 | 27,472.0 | ✔ |
1-Carmichael, John | Con | 19,206 | 19,206.0 | |||
1-Riaz, Syeda | NDP | 3,076 | 3,076.0 | |||
1-Hunt, Natalie | Grn | 848 | 848.0 | |||
1-Kittredge, John | Lbt | 325 | 325.0 | |||
1-Hill, Elizabeth | Com | 84 | 84.0 | |||
1-Cromwell, Sharon | Ind | 75 | 75.0 | |||
fptp.35022 |
This data can not be used to predict outcomes for individual candidates. | 1-Tilson, David Allan | Con | 27,977 | 27,977.0 | ✔ |
1-Crewson, Ed | Lib | 23,643 | 23,643.0 | |||
1-Urekar, Nancy | Grn | 4,433 | 4,433.0 | |||
1-Yazbek, Rehya | NDP | 4,398 | 4,398.0 | |||
fptp.35023 |
This data can not be used to predict outcomes for individual candidates. | 1-O'Toole, Erin | Con | 28,967 | 28,967.0 | ✔ |
1-Traill, Corinna | Lib | 22,949 | 22,949.0 | |||
1-Spence, Derek | NDP | 10,289 | 10,289.0 | |||
1-Leadbetter, Stacey | Grn | 1,616 | 1,616.0 | |||
1-Moriarity, Andrew | CHP | 364 | 364.0 | |||
fptp.35024 |
This data can not be used to predict outcomes for individual candidates. | 1-Mendicino, Marco | Lib | 27,278 | 27,278.0 | ✔ |
1-Oliver, Joe | Con | 23,788 | 23,788.0 | |||
1-Thomson, Andrew | NDP | 3,505 | 3,505.0 | |||
1-Chisholm, Matthew | Grn | 799 | 799.0 | |||
1-Buchman, Ethan | Lbt | 308 | 308.0 | |||
1-Brunell Solomonovici, Rudy | Oth | 114 | 114.0 | |||
fptp.35025 |
This data can not be used to predict outcomes for individual candidates. | 1-Vecchio, Karen Louise | Con | 28,023 | 28,023.0 | ✔ |
1-Baldwin-Sands, Lori | Lib | 17,642 | 17,642.0 | |||
1-Sinclair, Fred | NDP | 8,771 | 8,771.0 | |||
1-Morgan, Bronagh Joyce | Grn | 1,783 | 1,783.0 | |||
1-Hopkins, Michael | CHP | 529 | 529.0 | |||
1-Bernardi, Lou | Oth | 185 | 185.0 | |||
fptp.35026 |
This data can not be used to predict outcomes for individual candidates. | 1-Ramsey, Tracey | NDP | 25,072 | 25,072.0 | ✔ |
1-Watson, Jeff | Con | 21,602 | 21,602.0 | |||
1-Festeryga, Audrey | Lib | 12,639 | 12,639.0 | |||
1-Alderson, Jennifer | Grn | 1,141 | 1,141.0 | |||
1-Villamizar, Enver | M-L | 77 | 77.0 | |||
fptp.35027 |
This data can not be used to predict outcomes for individual candidates. | 1-Wrzesnewskyj, Borys | Lib | 32,612 | 32,612.0 | ✔ |
1-Opitz, Ted | Con | 23,070 | 23,070.0 | |||
1-De Mello, Tanya | NDP | 4,886 | 4,886.0 | |||
1-Rizvi, Shawn | Grn | 856 | 856.0 | |||
1-Wolvin, Rob | Oth | 378 | 378.0 | |||
fptp.35028 |
This data can not be used to predict outcomes for individual candidates. | 1-Maloney, James | Lib | 34,638 | 34,638.0 | ✔ |
1-Trottier, Bernard | Con | 20,932 | 20,932.0 | |||
1-Trotter, Phil | NDP | 7,030 | 7,030.0 | |||
1-Salewsky, Angela | Grn | 1,507 | 1,507.0 | |||
1-White, Liz | Oth | 233 | 233.0 | |||
1-Murray, Janice | M-L | 168 | 168.0 | |||
fptp.35029 |
This data can not be used to predict outcomes for individual candidates. | 1-Duncan, Kirsty | Lib | 26,251 | 26,251.0 | ✔ |
1-Dada, Toyin | Con | 9,673 | 9,673.0 | |||
1-Hassan, Faisal | NDP | 5,220 | 5,220.0 | |||
1-Ayub, Akhtar | Grn | 524 | 524.0 | |||
1-Di Carlo, Anna | M-L | 232 | 232.0 | |||
1-Szebik, George | Ind | 164 | 164.0 | |||
fptp.35030 |
This data can not be used to predict outcomes for individual candidates. | 1-Sweet, David | Con | 24,137 | 24,137.0 | ✔ |
1-Stebbing, Jennifer | Lib | 21,728 | 21,728.0 | |||
1-DiLivio, Mike | NDP | 7,779 | 7,779.0 | |||
1-Urquhart, David Allan | Grn | 1,866 | 1,866.0 | |||
fptp.35031 |
This data can not be used to predict outcomes for individual candidates. | 1-Drouin, Francis | Lib | 34,189 | 34,189.0 | ✔ |
1-Lemieux, Pierre | Con | 23,367 | 23,367.0 | |||
1-Laurin, Normand | NDP | 5,087 | 5,087.0 | |||
1-Malouin-Diraddo, Genevieve | Grn | 1,153 | 1,153.0 | |||
1-Brisson, Jean-Serge | Lbt | 377 | 377.0 | |||
fptp.35032 |
This data can not be used to predict outcomes for individual candidates. | 1-Longfield, Lloyd | Lib | 34,303 | 34,303.0 | ✔ |
1-Kovach, Gloria | Con | 18,407 | 18,407.0 | |||
1-Seagram, Andrew | NDP | 8,392 | 8,392.0 | |||
1-Miller, Gord | Grn | 7,909 | 7,909.0 | |||
1-Fekri, Alexander | Lbt | 520 | 520.0 | |||
1-Klevering, Kornelis | Oth | 193 | 193.0 | |||
1-Dineen, Tristan | Com | 144 | 144.0 | |||
fptp.35033 |
This data can not be used to predict outcomes for individual candidates. | 1-Finley, Diane | Con | 24,714 | 24,714.0 | ✔ |
1-Mouland, Joan | Lib | 20,487 | 20,487.0 | |||
1-Harris, John | NDP | 7,625 | 7,625.0 | |||
1-Ettinger, Wayne | Grn | 1,857 | 1,857.0 | |||
1-Bylsma, Dave | CHP | 884 | 884.0 | |||
1-Wakeford, Dustin | Ind | 272 | 423.0 | |||
1-Bory, Leslie | Ind | 151 | 0.0 | |||
fptp.35034 |
This data can not be used to predict outcomes for individual candidates. | 1-Schmale, Jamie | Con | 27,718 | 27,718.0 | ✔ |
1-Marquis, David | Lib | 19,634 | 19,634.0 | |||
1-Perry, Mike | NDP | 12,012 | 12,012.0 | |||
1-MacCallum, Bill | Grn | 2,470 | 2,470.0 | |||
fptp.35035 |
This data can not be used to predict outcomes for individual candidates. | 1-Christopherson, David | NDP | 18,719 | 18,719.0 | ✔ |
1-Tennier, Anne | Lib | 13,718 | 13,718.0 | |||
1-Rozenszajn, Yonatan | Con | 6,018 | 6,018.0 | |||
1-Schmid-Jones, Ute | Grn | 1,778 | 1,778.0 | |||
1-Baldasaro, Michael James | Oth | 348 | 348.0 | |||
1-Young, Rob | Lbt | 316 | 316.0 | |||
1-Anastasiou, Maria | Ind | 186 | 186.0 | |||
fptp.35036 |
This data can not be used to predict outcomes for individual candidates. | 1-Bratina, Bob | Lib | 19,622 | 19,622.0 | ✔ |
1-Marston, Wayne | NDP | 16,465 | 16,465.0 | |||
1-Bubanko, Diane | Con | 12,715 | 12,715.0 | |||
1-Davis, Erin | Grn | 1,305 | 1,305.0 | |||
1-Mann, Bob | Com | 170 | 170.0 | |||
1-Fields, Wendell | M-L | 55 | 55.0 | |||
fptp.35037 |
This data can not be used to predict outcomes for individual candidates. | 1-Duvall, Scott | NDP | 18,146 | 18,146.0 | ✔ |
1-Burt, Shaun | Lib | 16,933 | 16,933.0 | |||
1-Miles, Al | Con | 12,991 | 12,991.0 | |||
1-Aman, Raheem | Grn | 1,283 | 1,283.0 | |||
1-Caton, Andrew James | Lbt | 763 | 763.0 | |||
1-Enos, Jim | CHP | 438 | 438.0 | |||
fptp.35038 |
This data can not be used to predict outcomes for individual candidates. | 1-Tassi, Filomena | Lib | 29,694 | 29,694.0 | ✔ |
1-Samuel, Vincent | Con | 19,821 | 19,821.0 | |||
1-Johnstone, Alex | NDP | 10,131 | 10,131.0 | |||
1-Ormond, Peter | Grn | 2,633 | 2,633.0 | |||
fptp.35039 |
This data can not be used to predict outcomes for individual candidates. | 1-Bossio, Mike | Lib | 21,104 | 21,104.0 | ✔ |
1-Kramp, Daryl | Con | 20,879 | 20,879.0 | |||
1-Bannon, Betty | NDP | 6,348 | 6,348.0 | |||
1-Mather, Cam | Grn | 1,466 | 1,466.0 | |||
fptp.35040 |
This data can not be used to predict outcomes for individual candidates. | 1-Lobb, Ben | Con | 26,174 | 26,174.0 | ✔ |
1-Thompson, Allan | Lib | 23,129 | 23,129.0 | |||
1-Creces, Gerard | NDP | 7,544 | 7,544.0 | |||
1-Splettstoesser, Jutta | Grn | 1,398 | 1,398.0 | |||
fptp.35041 |
This data can not be used to predict outcomes for individual candidates. | 1-McCrimmon, Karen | Lib | 32,477 | 32,477.0 | ✔ |
1-Pamic, Walter | Con | 24,829 | 24,829.0 | |||
1-Hansen, John | NDP | 4,313 | 4,313.0 | |||
1-West, Andrew | Grn | 1,704 | 1,704.0 | |||
fptp.35042 |
This data can not be used to predict outcomes for individual candidates. | 1-Nault, Bob | Lib | 10,918 | 10,918.0 | ✔ |
1-Hampton, Howard | NDP | 10,420 | 10,420.0 | |||
1-Rickford, Greg | Con | 8,751 | 8,751.0 | |||
1-McKillop, Ember C. | Grn | 501 | 501.0 | |||
1-Boucher-Chicago, Kelvin | Ind | 162 | 162.0 | |||
fptp.35043 |
This data can not be used to predict outcomes for individual candidates. | 1-Schulte, Deb | Lib | 25,908 | 25,908.0 | ✔ |
1-Toubis, Konstantin | Con | 24,170 | 24,170.0 | |||
1-Rizzo, Natalie | NDP | 3,571 | 3,571.0 | |||
1-Raney, Ann | Grn | 1,037 | 1,037.0 | |||
fptp.35044 |
This data can not be used to predict outcomes for individual candidates. | 1-Gerretsen, Mark | Lib | 36,421 | 36,421.0 | ✔ |
1-Brooke, Andy | Con | 14,928 | 14,928.0 | |||
1-Beals, Daniel | NDP | 11,185 | 11,185.0 | |||
1-Townend, Nathan | Grn | 2,933 | 2,933.0 | |||
1-McAllister, Luke | Lbt | 305 | 305.0 | |||
fptp.35045 |
This data can not be used to predict outcomes for individual candidates. | 1-Saini, Raj | Lib | 25,504 | 25,504.0 | ✔ |
1-Woodworth, Stephen | Con | 15,872 | 15,872.0 | |||
1-Cadell, Susan | NDP | 8,680 | 8,680.0 | |||
1-Wendler, Nicholas | Grn | 1,597 | 1,597.0 | |||
1-Miladinovic, Slavko | Lbt | 515 | 515.0 | |||
1-Ichim, Julian | M-L | 112 | 112.0 | |||
fptp.35046 |
This data can not be used to predict outcomes for individual candidates. | 1-Albrecht, Harold | Con | 20,649 | 20,649.0 | ✔ |
1-Louis, Tim | Lib | 20,398 | 20,398.0 | |||
1-Villeneuve, James | NDP | 4,653 | 4,653.0 | |||
1-Jonkman, Bob | Grn | 1,314 | 1,314.0 | |||
1-Hodgson, Richard | Lbt | 685 | 685.0 | |||
fptp.35047 |
This data can not be used to predict outcomes for individual candidates. | 1-Tabbara, Marwan | Lib | 20,215 | 20,215.0 | ✔ |
1-GagnУЉ, Marian | Con | 17,544 | 17,544.0 | |||
1-Bruce, Lorne | NDP | 7,440 | 7,440.0 | |||
1-Weber, David | Grn | 1,767 | 1,767.0 | |||
1-Lajeunesse, Nathan | Lbt | 772 | 772.0 | |||
1-Baetz, Elaine | M-L | 91 | 91.0 | |||
fptp.35048 |
This data can not be used to predict outcomes for individual candidates. | 1-Shipley, Bev | Con | 28,300 | 28,300.0 | ✔ |
1-Filson, Ken | Lib | 16,592 | 16,592.0 | |||
1-Isaac, Rex | NDP | 9,598 | 9,598.0 | |||
1-Johnston, Jim | Grn | 1,873 | 1,873.0 | |||
fptp.35049 |
This data can not be used to predict outcomes for individual candidates. | 1-Reid, Scott | Con | 27,399 | 27,399.0 | ✔ |
1-Archambault, Phil | Lib | 19,325 | 19,325.0 | |||
1-Fenik, John | NDP | 8,073 | 8,073.0 | |||
1-Payne, Anita | Grn | 2,025 | 2,025.0 | |||
1-Budd, Mark | Lbt | 418 | 418.0 | |||
fptp.35050 |
This data can not be used to predict outcomes for individual candidates. | 1-Brown, Gord | Con | 26,738 | 26,738.0 | ✔ |
1-McFall, Mary Jean | Lib | 22,888 | 22,888.0 | |||
1-Andrade, Margaret | NDP | 4,722 | 4,722.0 | |||
1-Rekmans, Lorraine A. | Grn | 2,088 | 2,088.0 | |||
fptp.35051 |
This data can not be used to predict outcomes for individual candidates. | 1-Mathyssen, Irene | NDP | 20,684 | 20,684.0 | ✔ |
1-Ramal, Khalil | Lib | 17,214 | 17,214.0 | |||
1-Dieleman, Suzanna | Con | 14,891 | 14,891.0 | |||
1-Peloza, Matthew | Grn | 1,604 | 1,604.0 | |||
1-Hamadi, Ali | Ind | 352 | 352.0 | |||
fptp.35052 |
This data can not be used to predict outcomes for individual candidates. | 1-Fragiskatos, Peter | Lib | 32,427 | 32,427.0 | ✔ |
1-Truppe, Susan | Con | 19,990 | 19,990.0 | |||
1-Gutierrez, German | NDP | 9,423 | 9,423.0 | |||
1-Dyck, Carol | Grn | 2,286 | 2,286.0 | |||
1-Roman, Marvin | M-L | 145 | 145.0 | |||
fptp.35053 |
This data can not be used to predict outcomes for individual candidates. | 1-Young, Kate | Lib | 31,167 | 31,167.0 | ✔ |
1-Holder, Ed | Con | 24,036 | 24,036.0 | |||
1-Rowlinson, Matthew | NDP | 10,087 | 10,087.0 | |||
1-Lascaris, Dimitri | Grn | 1,918 | 1,918.0 | |||
1-Boudreau, Jacques Y. | Lbt | 732 | 732.0 | |||
1-Lewis, Michael | Com | 87 | 87.0 | |||
fptp.35054 |
This data can not be used to predict outcomes for individual candidates. | 1-Philpott, Jane | Lib | 29,416 | 29,416.0 | ✔ |
1-Calandra, Paul | Con | 25,565 | 25,565.0 | |||
1-Hines, Gregory | NDP | 3,647 | 3,647.0 | |||
1-O'Brien, Myles | Grn | 1,145 | 1,145.0 | |||
fptp.35055 |
This data can not be used to predict outcomes for individual candidates. | 1-McCallum, John | Lib | 23,878 | 23,878.0 | ✔ |
1-Easow, Jobson | Con | 13,849 | 13,849.0 | |||
1-Chelliah, Senthi | NDP | 4,595 | 4,595.0 | |||
1-Russell, Joshua | Grn | 535 | 535.0 | |||
fptp.35056 |
This data can not be used to predict outcomes for individual candidates. | 1-Saroya, Bob | Con | 24,605 | 24,605.0 | ✔ |
1-Jiang, Bang-Gu | Lib | 21,596 | 21,596.0 | |||
1-Zimmerman, Colleen | NDP | 2,528 | 2,528.0 | |||
1-Kao, Elvin | Grn | 1,110 | 1,110.0 | |||
fptp.35057 |
This data can not be used to predict outcomes for individual candidates. | 1-Raitt, Lisa | Con | 22,378 | 22,378.0 | ✔ |
1-Rizvee, Azim | Lib | 19,940 | 19,940.0 | |||
1-Anabusi, Alex | NDP | 5,366 | 5,366.0 | |||
1-Batra, Mini | Grn | 1,131 | 1,131.0 | |||
1-Jewell, Chris | Lbt | 493 | 493.0 | |||
fptp.35058 |
This data can not be used to predict outcomes for individual candidates. | 1-Alghabra, Omar | Lib | 28,372 | 28,372.0 | ✔ |
1-Tiangson, Julius | Con | 17,431 | 17,431.0 | |||
1-Khan, Farheen | NDP | 4,920 | 4,920.0 | |||
1-Nguyen, Linh | Grn | 1,129 | 1,129.0 | |||
fptp.35059 |
This data can not be used to predict outcomes for individual candidates. | 1-Fonseca, Peter | Lib | 28,154 | 28,154.0 | ✔ |
1-Lizon, Wladyslaw | Con | 18,353 | 18,353.0 | |||
1-Naqvi, Ali | NDP | 4,481 | 4,481.0 | |||
1-Bhikha, Jaymini | Grn | 766 | 766.0 | |||
1-Sullivan, Tim | M-L | 163 | 163.0 | |||
fptp.35060 |
This data can not be used to predict outcomes for individual candidates. | 1-Khalid, Iqra | Lib | 27,520 | 27,520.0 | ✔ |
1-Dechert, Bob | Con | 21,716 | 21,716.0 | |||
1-Bilek, Michelle | NDP | 5,206 | 5,206.0 | |||
1-Roblin, Andrew | Grn | 905 | 905.0 | |||
fptp.35061 |
This data can not be used to predict outcomes for individual candidates. | 1-Spengemann, Sven | Lib | 28,279 | 28,279.0 | ✔ |
1-Ambler, Stella | Con | 24,435 | 24,435.0 | |||
1-Guerbilsky, Eric | NDP | 4,735 | 4,735.0 | |||
1-Burgener, Ariana | Grn | 1,397 | 1,397.0 | |||
1-Woodworth, Paul | Lbt | 316 | 316.0 | |||
1-Sullivan, Dagmar | M-L | 111 | 111.0 | |||
fptp.35062 |
This data can not be used to predict outcomes for individual candidates. | 1-Bains, Navdeep | Lib | 26,165 | 26,165.0 | ✔ |
1-Grewal, Jagdish | Con | 11,701 | 11,701.0 | |||
1-Douglas, Dianne | NDP | 5,450 | 5,450.0 | |||
1-Mercer, Heather | Grn | 737 | 737.0 | |||
1-Tharani, Naresh | Ind | 203 | 203.0 | |||
fptp.35063 |
This data can not be used to predict outcomes for individual candidates. | 1-Sikand, Gagan | Lib | 26,792 | 26,792.0 | ✔ |
1-Butt, Brad | Con | 22,621 | 22,621.0 | |||
1-Karim, Fayaz | NDP | 5,040 | 5,040.0 | |||
1-Hill, Chris | Grn | 1,293 | 1,293.0 | |||
1-Tarazevich, Yegor | CHP | 253 | 253.0 | |||
fptp.35064 |
This data can not be used to predict outcomes for individual candidates. | 1-Arya, Chandra | Lib | 34,017 | 34,017.0 | ✔ |
1-Wang, Andy | Con | 23,442 | 23,442.0 | |||
1-Devine, Sean | NDP | 5,324 | 5,324.0 | |||
1-Cooke, Jean-Luc Roger | Grn | 1,513 | 1,513.0 | |||
1-Cosico, Jesus | Ind | 416 | 551.0 | |||
1-Mamba, Hubert | Ind | 69 | 0.0 | |||
1-Splett, Harry | Ind | 66 | 0.0 | |||
1-Seed, Tony | M-L | 41 | 41.0 | |||
fptp.35065 |
This data can not be used to predict outcomes for individual candidates. | 1-Peterson, Kyle | Lib | 25,508 | 25,508.0 | ✔ |
1-Brown, Lois | Con | 24,057 | 24,057.0 | |||
1-Kelly, Yvonne | NDP | 4,806 | 4,806.0 | |||
1-Long, Vanessa | Grn | 1,331 | 1,331.0 | |||
1-Baxter, Dorian | Oth | 762 | 762.0 | |||
fptp.35066 |
This data can not be used to predict outcomes for individual candidates. | 1-Badawey, Vance | Lib | 19,513 | 19,513.0 | ✔ |
1-Allen, Malcolm | NDP | 17,218 | 17,218.0 | |||
1-Villella, Leanna | Con | 16,248 | 16,248.0 | |||
1-Clow, David | Grn | 1,316 | 1,316.0 | |||
1-Di Bartolomeo, Jody | Oth | 291 | 291.0 | |||
1-Walker, Ron J. | M-L | 96 | 96.0 | |||
fptp.35067 |
This data can not be used to predict outcomes for individual candidates. | 1-Nicholson, Rob | Con | 27,235 | 27,235.0 | ✔ |
1-Planche, Ron | Lib | 22,318 | 22,318.0 | |||
1-Ioannoni, Carolynn | NDP | 13,525 | 13,525.0 | |||
1-Soos, Steven | Grn | 1,633 | 1,633.0 | |||
fptp.35068 |
This data can not be used to predict outcomes for individual candidates. | 1-Allison, Dean | Con | 24,732 | 24,732.0 | ✔ |
1-Rose, Phil | Lib | 16,581 | 16,581.0 | |||
1-Rahman, Nameer | NDP | 5,802 | 5,802.0 | |||
1-Frere, Sid | Grn | 1,511 | 1,511.0 | |||
1-Jonker, Harold | CHP | 1,234 | 1,234.0 | |||
1-de Roo, Allan | Lbt | 797 | 797.0 | |||
fptp.35069 |
This data can not be used to predict outcomes for individual candidates. | 1-SerrУЉ, Marc G. | Lib | 21,021 | 21,021.0 | ✔ |
1-Gravelle, Claude | NDP | 18,556 | 18,556.0 | |||
1-Laamanen, Aino | Con | 8,221 | 8,221.0 | |||
1-McCall, Stuart | Grn | 1,217 | 1,217.0 | |||
1-Starbuck, Dave | M-L | 98 | 98.0 | |||
fptp.35070 |
This data can not be used to predict outcomes for individual candidates. | 1-Rota, Anthony | Lib | 25,357 | 25,357.0 | ✔ |
1-Aspin, Jay | Con | 14,325 | 14,325.0 | |||
1-Jodouin, Kathleen | NDP | 7,936 | 7,936.0 | |||
1-Peltier, Nicole | Grn | 1,257 | 1,257.0 | |||
fptp.35071 |
This data can not be used to predict outcomes for individual candidates. | 1-Rudd, Kim | Lib | 27,043 | 27,043.0 | ✔ |
1-Moulton, Adam | Con | 25,165 | 25,165.0 | |||
1-Christianson, Russ | NDP | 9,411 | 9,411.0 | |||
1-Sinnott, Patricia | Grn | 1,990 | 1,990.0 | |||
fptp.35072 |
This data can not be used to predict outcomes for individual candidates. | 1-Oliver, John | Lib | 31,956 | 31,956.0 | ✔ |
1-Young, Terence | Con | 27,497 | 27,497.0 | |||
1-Marville, Che | NDP | 3,830 | 3,830.0 | |||
1-Doel, David | Grn | 1,420 | 1,420.0 | |||
fptp.35073 |
This data can not be used to predict outcomes for individual candidates. | 1-Damoff, Pam | Lib | 28,415 | 28,415.0 | ✔ |
1-Triantafilopoulos, Effie | Con | 26,342 | 26,342.0 | |||
1-Best, Janice | NDP | 4,405 | 4,405.0 | |||
1-Shahbaz, Adnan | Grn | 968 | 968.0 | |||
1-Clement, David | Lbt | 666 | 666.0 | |||
fptp.35074 |
This data can not be used to predict outcomes for individual candidates. | 1-Carrie, Colin | Con | 23,162 | 23,162.0 | ✔ |
1-Fowler, Mary | NDP | 19,339 | 19,339.0 | |||
1-Marimpietri, Tito-Dante | Lib | 16,588 | 16,588.0 | |||
1-Dempsey, Michael | Grn | 1,522 | 1,522.0 | |||
1-Gershuny, David | M-L | 75 | 75.0 | |||
fptp.35075 |
This data can not be used to predict outcomes for individual candidates. | 1-McKenna, Catherine Mary | Lib | 32,211 | 32,211.0 | ✔ |
1-Dewar, Paul | NDP | 29,098 | 29,098.0 | |||
1-Konstantinakos, Damian | Con | 10,943 | 10,943.0 | |||
1-Milroy, Tom | Grn | 2,246 | 2,246.0 | |||
1-Harris, Dean T. | Lbt | 551 | 551.0 | |||
1-Lukawski, Conrad | Oth | 167 | 327.0 | |||
1-Akpata, John Andrew Omowole | Oth | 160 | 0.0 | |||
1-Ryan, Stuart | Com | 124 | 124.0 | |||
fptp.35076 |
This data can not be used to predict outcomes for individual candidates. | 1-Leslie, Andrew | Lib | 46,542 | 46,542.0 | ✔ |
1-Galipeau, Royal | Con | 23,821 | 23,821.0 | |||
1-Tremblay, Nancy | NDP | 6,215 | 6,215.0 | |||
1-Morin, RaphaУЋl | Grn | 1,410 | 1,410.0 | |||
fptp.35077 |
This data can not be used to predict outcomes for individual candidates. | 1-McGuinty, David | Lib | 38,831 | 38,831.0 | ✔ |
1-Balkissoon, Dev | Con | 15,711 | 15,711.0 | |||
1-Brown, George | NDP | 7,480 | 7,480.0 | |||
1-Redins, John | Grn | 1,888 | 1,888.0 | |||
1-Gullon, Al | Oth | 366 | 366.0 | |||
1-Wilson, Damien | Lbt | 237 | 237.0 | |||
1-Wasslen, Larry | Com | 136 | 136.0 | |||
fptp.35078 |
This data can not be used to predict outcomes for individual candidates. | 1-BУЉlanger, Mauril | Lib | 36,474 | 36,474.0 | ✔ |
1-Taman, Emilie | NDP | 12,194 | 12,194.0 | |||
1-Piccini, David | Con | 12,109 | 12,109.0 | |||
1-Dookeran, Nira | Grn | 1,947 | 1,947.0 | |||
1-Corcoran, Coreen | Lbt | 503 | 503.0 | |||
1-Legeais, Christian | M-L | 128 | 128.0 | |||
fptp.35079 |
This data can not be used to predict outcomes for individual candidates. | 1-Vandenbeld, Anita | Lib | 35,199 | 35,199.0 | ✔ |
1-Abdi, Abdul | Con | 18,893 | 18,893.0 | |||
1-Rivier, Marlene | NDP | 6,195 | 6,195.0 | |||
1-Brooks, Mark | Grn | 1,772 | 1,772.0 | |||
1-Taylor, Rod | CHP | 740 | 740.0 | |||
1-Heaton, Sam | M-L | 114 | 114.0 | |||
fptp.35080 |
This data can not be used to predict outcomes for individual candidates. | 1-MacKenzie, Dave | Con | 25,966 | 25,966.0 | ✔ |
1-McKay, Don | Lib | 18,299 | 18,299.0 | |||
1-Kunschner, Zoe | NDP | 9,406 | 9,406.0 | |||
1-Farlow, Mike | Grn | 2,004 | 2,004.0 | |||
1-Aldred, Melody Ann | CHP | 1,175 | 1,175.0 | |||
fptp.35081 |
This data can not be used to predict outcomes for individual candidates. | 1-Virani, Arif | Lib | 24,623 | 24,623.0 | ✔ |
1-Nash, Peggy | NDP | 23,566 | 23,566.0 | |||
1-Allen, Ian | Con | 7,641 | 7,641.0 | |||
1-Phipps, Adam | Grn | 1,743 | 1,743.0 | |||
1-Jeftovic, Mark | Lbt | 610 | 610.0 | |||
1-Parker, Terry | Oth | 191 | 191.0 | |||
1-Gershuny, Lorne | M-L | 100 | 100.0 | |||
1-Royer, Carol | Ind | 93 | 93.0 | |||
fptp.35082 |
This data can not be used to predict outcomes for individual candidates. | 1-Clement, Tony | Con | 22,206 | 22,206.0 | ✔ |
1-Cowie, Trisha | Lib | 19,937 | 19,937.0 | |||
1-McCarthy, Matt | NDP | 5,183 | 5,183.0 | |||
1-Hodgson, Glen | Grn | 3,704 | 3,704.0 | |||
1-Bell, Duncan | Oth | 121 | 209.0 | |||
1-Merton, Gordie | Oth | 88 | 0.0 | |||
1-Smith, Albert Gray | M-L | 40 | 40.0 | |||
fptp.35083 |
This data can not be used to predict outcomes for individual candidates. | 1-Nater, John | Con | 22,255 | 22,255.0 | ✔ |
1-McCotter, Stephen | Lib | 19,480 | 19,480.0 | |||
1-Rabidoux, Ethan | NDP | 7,756 | 7,756.0 | |||
1-Ramsdale, Nicole | Grn | 1,347 | 1,347.0 | |||
1-DeVries, Irma | CHP | 794 | 794.0 | |||
1-Fuhr, Roger | Ind | 219 | 219.0 | |||
fptp.35084 |
This data can not be used to predict outcomes for individual candidates. | 1-Monsef, Maryam | Lib | 29,159 | 29,159.0 | ✔ |
1-Skinner, Michael | Con | 23,335 | 23,335.0 | |||
1-Nickle, Dave | NDP | 12,437 | 12,437.0 | |||
1-Mason, Doug | Grn | 1,480 | 1,480.0 | |||
1-Leckie, Toban | Oth | 131 | 131.0 | |||
fptp.35085 |
This data can not be used to predict outcomes for individual candidates. | 1-O'Connell, Jennifer | Lib | 29,757 | 29,757.0 | ✔ |
1-Chisu, Corneliu | Con | 22,591 | 22,591.0 | |||
1-Downward, Pamela | NDP | 5,446 | 5,446.0 | |||
1-Navarro, Anthony Jordan | Grn | 1,365 | 1,365.0 | |||
fptp.35086 |
This data can not be used to predict outcomes for individual candidates. | 1-Gallant, Cheryl | Con | 26,195 | 26,195.0 | ✔ |
1-Lehoux, Jeff | Lib | 18,666 | 18,666.0 | |||
1-Clouthier, Hector | Ind | 6,300 | 6,300.0 | |||
1-McCarthy, Dan | NDP | 4,893 | 4,893.0 | |||
1-Klietsch, Stefan | Grn | 1,105 | 1,105.0 | |||
fptp.35087 |
This data can not be used to predict outcomes for individual candidates. | 1-Jowhari, Majid | Lib | 23,032 | 23,032.0 | ✔ |
1-Parsa, Michael | Con | 21,275 | 21,275.0 | |||
1-DeVita, Adam | NDP | 3,950 | 3,950.0 | |||
1-Veenema, Gwendolyn | Grn | 856 | 856.0 | |||
fptp.35088 |
This data can not be used to predict outcomes for individual candidates. | 1-Poilievre, Pierre | Con | 27,762 | 27,762.0 | ✔ |
1-Rodgers, Chris | Lib | 25,913 | 25,913.0 | |||
1-Larocque, Kc | NDP | 3,632 | 3,632.0 | |||
1-Coyne, Deborah | Grn | 1,932 | 1,932.0 | |||
fptp.35089 |
This data can not be used to predict outcomes for individual candidates. | 1-Bittle, Chris | Lib | 24,870 | 24,870.0 | ✔ |
1-Dykstra, Rick | Con | 21,637 | 21,637.0 | |||
1-Erskine-Fournier, Susan | NDP | 9,511 | 9,511.0 | |||
1-Fannon, Jim | Grn | 1,488 | 1,488.0 | |||
1-Waziruddin, Saleh | Com | 85 | 85.0 | |||
fptp.35090 |
This data can not be used to predict outcomes for individual candidates. | 1-Bennett, Carolyn | Lib | 31,481 | 31,481.0 | ✔ |
1-MacDougall, Marnie | Con | 15,376 | 15,376.0 | |||
1-Richler, Noah | NDP | 8,386 | 8,386.0 | |||
1-Farmer, Kevin | Grn | 1,729 | 1,729.0 | |||
fptp.35091 |
This data can not be used to predict outcomes for individual candidates. | 1-Gladu, Marilyn | Con | 22,565 | 22,565.0 | ✔ |
1-McMichael, Jason Wayne | NDP | 18,102 | 18,102.0 | |||
1-McPhail, Dave | Lib | 15,853 | 15,853.0 | |||
1-Smith, Peter | Grn | 1,605 | 1,605.0 | |||
fptp.35092 |
This data can not be used to predict outcomes for individual candidates. | 1-Sheehan, Terry | Lib | 19,582 | 19,582.0 | ✔ |
1-Hayes, Bryan | Con | 13,615 | 13,615.0 | |||
1-Morrison, Skip | NDP | 9,543 | 9,543.0 | |||
1-Flannigan, Kara | Grn | 934 | 934.0 | |||
1-Taffarel, Mike | M-L | 83 | 83.0 | |||
fptp.35093 |
This data can not be used to predict outcomes for individual candidates. | 1-Chan, Arnold | Lib | 21,587 | 21,587.0 | ✔ |
1-Chang, Bin | Con | 15,802 | 15,802.0 | |||
1-Patrick, Laura | NDP | 3,263 | 3,263.0 | |||
1-Scott, Debra | Grn | 570 | 570.0 | |||
1-Coutinho, Jude | CHP | 334 | 334.0 | |||
fptp.35094 |
This data can not be used to predict outcomes for individual candidates. | 1-Zahid, Salma | Lib | 22,753 | 22,753.0 | ✔ |
1-James, Roxanne | Con | 14,705 | 14,705.0 | |||
1-Wilson, Alex | NDP | 5,227 | 5,227.0 | |||
1-Androutsos, Katerina | Lbt | 1,384 | 1,384.0 | |||
1-Thompson, Lindsay | Grn | 960 | 960.0 | |||
fptp.35095 |
This data can not be used to predict outcomes for individual candidates. | 1-McKay, John | Lib | 25,167 | 25,167.0 | ✔ |
1-Konkel, Chuck | Con | 11,108 | 11,108.0 | |||
1-Casselman, Laura | NDP | 4,720 | 4,720.0 | |||
1-Holding, Kathleen | Grn | 606 | 606.0 | |||
1-Clarke, Kevin | Ind | 175 | 175.0 | |||
1-Coulbeck, Paul | Oth | 141 | 141.0 | |||
fptp.35096 |
This data can not be used to predict outcomes for individual candidates. | 1-Chen, Shaun | Lib | 18,904 | 18,904.0 | ✔ |
1-Malhi, Ravinder | Con | 10,737 | 10,737.0 | |||
1-Sitsabaiesan, Rathika | NDP | 8,648 | 8,648.0 | |||
1-MacDonald, Eleni | Grn | 579 | 579.0 | |||
1-Rosch, Raphael | Ind | 164 | 320.0 | |||
1-Khatoon, Aasia | Ind | 156 | 0.0 | |||
fptp.35097 |
This data can not be used to predict outcomes for individual candidates. | 1-Anandasangaree, Gary | Lib | 29,913 | 29,913.0 | ✔ |
1-Lewis, Leslyn | Con | 13,587 | 13,587.0 | |||
1-Shanthikumar, KM | NDP | 5,145 | 5,145.0 | |||
1-Winter, Calvin | Grn | 1,010 | 1,010.0 | |||
fptp.35098 |
This data can not be used to predict outcomes for individual candidates. | 1-Blair, Bill | Lib | 25,586 | 25,586.0 | ✔ |
1-Harris, Dan | NDP | 11,574 | 11,574.0 | |||
1-Nallaratnam, Roshan | Con | 10,347 | 10,347.0 | |||
1-Taylor, Tommy | Grn | 1,259 | 1,259.0 | |||
fptp.35099 |
This data can not be used to predict outcomes for individual candidates. | 1-Leitch, Kellie | Con | 30,612 | 30,612.0 | ✔ |
1-MacEachern, Mike | Lib | 25,352 | 25,352.0 | |||
1-Matthews, David | NDP | 6,332 | 6,332.0 | |||
1-Fleming, JoAnne | Grn | 2,923 | 2,923.0 | |||
1-Noordegraaf, Len | CHP | 528 | 528.0 | |||
fptp.35100 |
This data can not be used to predict outcomes for individual candidates. | 1-Stanton, Bruce | Con | 24,836 | 24,836.0 | ✔ |
1-Riley, Liz | Lib | 22,718 | 22,718.0 | |||
1-Banigan, Richard | NDP | 6,037 | 6,037.0 | |||
1-Stubbins, Peter | Grn | 2,543 | 2,543.0 | |||
1-Kearey-Moreland, Jacob | Ind | 618 | 618.0 | |||
1-Whittaker, Scott | CHP | 319 | 319.0 | |||
fptp.35101 |
This data can not be used to predict outcomes for individual candidates. | 1-Vaughan, Adam | Lib | 30,141 | 30,141.0 | ✔ |
1-Chow, Olivia | NDP | 15,047 | 15,047.0 | |||
1-Zuniga, Sabrina | Con | 8,673 | 8,673.0 | |||
1-Danley, Sharon | Grn | 1,137 | 1,137.0 | |||
1-Nicula, Michael | Oth | 91 | 91.0 | |||
1-Lin, Nick | M-L | 59 | 59.0 | |||
fptp.35102 |
This data can not be used to predict outcomes for individual candidates. | 1-Lauzon, Guy | Con | 27,091 | 27,091.0 | ✔ |
1-Clement, Bernadette | Lib | 20,452 | 20,452.0 | |||
1-Burger, Patrick | NDP | 4,332 | 4,332.0 | |||
1-Kennedy, Elaine | Grn | 1,191 | 1,191.0 | |||
fptp.35103 |
This data can not be used to predict outcomes for individual candidates. | 1-Lefebvre, Paul | Lib | 23,534 | 23,534.0 | ✔ |
1-Loewenberg, Paul | NDP | 13,793 | 13,793.0 | |||
1-Slade, Fred | Con | 10,473 | 10,473.0 | |||
1-Robinson, David | Grn | 1,509 | 1,509.0 | |||
1-Audet, Jean-Raymond | Ind | 134 | 218.0 | |||
1-Rowley, Elizabeth | Com | 102 | 102.0 | |||
1-Popescu, J. David | Ind | 84 | 0.0 | |||
fptp.35104 |
This data can not be used to predict outcomes for individual candidates. | 1-Kent, Peter | Con | 31,911 | 31,911.0 | ✔ |
1-Coldham, Nancy | Lib | 18,395 | 18,395.0 | |||
1-Cherry, Lorne | NDP | 2,814 | 2,814.0 | |||
1-Rachlis, Josh | Grn | 627 | 627.0 | |||
1-Balfour, Gene | Lbt | 587 | 587.0 | |||
1-Fairbairn, Margaret Leigh | Oth | 157 | 157.0 | |||
fptp.35105 |
This data can not be used to predict outcomes for individual candidates. | 1-Rusnak, Don | Lib | 18,523 | 18,523.0 | ✔ |
1-Rafferty, John | NDP | 12,483 | 12,483.0 | |||
1-Comuzzi, Moe | Con | 8,876 | 8,876.0 | |||
1-Radbourne, Christy | Grn | 2,201 | 2,201.0 | |||
fptp.35106 |
This data can not be used to predict outcomes for individual candidates. | 1-Hajdu, Patty | Lib | 20,069 | 20,069.0 | ✔ |
1-Foulds, Andrew | NDP | 10,339 | 10,339.0 | |||
1-Harvey, Richard | Con | 7,775 | 7,775.0 | |||
1-Hyer, Bruce | Grn | 6,155 | 6,155.0 | |||
1-Skaf, Robert | Ind | 270 | 270.0 | |||
fptp.35107 |
This data can not be used to predict outcomes for individual candidates. | 1-Angus, Charlie | NDP | 15,974 | 15,974.0 | ✔ |
1-Lever, Todd | Lib | 12,940 | 12,940.0 | |||
1-Curley, John P. | Con | 7,605 | 7,605.0 | |||
1-Kennedy, Max | Grn | 752 | 752.0 | |||
fptp.35108 |
This data can not be used to predict outcomes for individual candidates. | 1-Morneau, Bill | Lib | 29,297 | 29,297.0 | ✔ |
1-McQuaig, Linda | NDP | 13,467 | 13,467.0 | |||
1-Di Battista, Julian | Con | 6,167 | 6,167.0 | |||
1-Biggin, Colin | Grn | 1,315 | 1,315.0 | |||
1-Stone, Jordan | Ind | 147 | 147.0 | |||
1-Ahmad, Mariam | Com | 133 | 133.0 | |||
1-Fernandez, Philip | M-L | 76 | 76.0 | |||
fptp.35109 |
This data can not be used to predict outcomes for individual candidates. | 1-Dabrusin, Julie | Lib | 23,531 | 23,531.0 | ✔ |
1-Scott, Craig | NDP | 22,325 | 22,325.0 | |||
1-Dichter, Benjamin | Con | 5,478 | 5,478.0 | |||
1-Tolley, Chris | Grn | 2,618 | 2,618.0 | |||
1-Richardson, John | Oth | 1,275 | 1,629.0 | |||
1-Abbott, Elizabeth | Oth | 354 | 0.0 | |||
fptp.35110 |
This data can not be used to predict outcomes for individual candidates. | 1-Freeland, Chrystia | Lib | 27,849 | 27,849.0 | ✔ |
1-Hollett, Jennifer | NDP | 15,988 | 15,988.0 | |||
1-Jivraj, Karim | Con | 9,790 | 9,790.0 | |||
1-Wright, Nick | Grn | 1,641 | 1,641.0 | |||
1-Waslowski, Jesse | Lbt | 233 | 233.0 | |||
1-Luisi, Simon | Oth | 126 | 248.0 | |||
1-Garvie, Drew | Com | 125 | 125.0 | |||
1-Berlin, David | Oth | 122 | 0.0 | |||
1-Rutchinski, Steve | M-L | 51 | 51.0 | |||
fptp.35111 |
This data can not be used to predict outcomes for individual candidates. | 1-Sorbara, Francesco | Lib | 23,041 | 23,041.0 | ✔ |
1-Fantino, Julian | Con | 20,746 | 20,746.0 | |||
1-Zichy, Adriana Marie | NDP | 2,198 | 2,198.0 | |||
1-Gualtieri, Anthony | Lbt | 716 | 716.0 | |||
1-Boulanger, Elise | Grn | 597 | 597.0 | |||
fptp.35112 |
This data can not be used to predict outcomes for individual candidates. | 1-Chagger, Bardish | Lib | 29,752 | 29,752.0 | ✔ |
1-Braid, Peter | Con | 19,318 | 19,318.0 | |||
1-Freeman, Diane | NDP | 8,928 | 8,928.0 | |||
1-Walsh, Richard | Grn | 1,713 | 1,713.0 | |||
1-Hawley-Yan, Emma | Oth | 138 | 138.0 | |||
fptp.35113 |
This data can not be used to predict outcomes for individual candidates. | 1-Chong, Michael | Con | 32,482 | 32,482.0 | ✔ |
1-Trant, Don | Lib | 23,279 | 23,279.0 | |||
1-Gajerski-Cauley, Anne | NDP | 5,321 | 5,321.0 | |||
1-Bouteiller, Brent Allan | Grn | 2,547 | 2,547.0 | |||
1-Anstey, Harvey Edward | Oth | 183 | 183.0 | |||
fptp.35114 |
This data can not be used to predict outcomes for individual candidates. | 1-Caesar-Chavannes, Celina | Lib | 29,003 | 29,003.0 | ✔ |
1-Perkins, Pat | Con | 27,154 | 27,154.0 | |||
1-Kelly, Ryan | NDP | 6,677 | 6,677.0 | |||
1-Cameron, Craig | Grn | 1,403 | 1,403.0 | |||
1-O'Connor, Jon | Ind | 279 | 279.0 | |||
fptp.35115 |
This data can not be used to predict outcomes for individual candidates. | 1-Ehsassi, Ali | Lib | 24,519 | 24,519.0 | ✔ |
1-Leung, Chungsen | Con | 16,990 | 16,990.0 | |||
1-Tabasinejad, Pouyan | NDP | 3,203 | 3,203.0 | |||
1-Arruda, James | Grn | 1,025 | 1,025.0 | |||
1-Ahluwalia, Birinder Singh | Ind | 216 | 216.0 | |||
fptp.35116 |
This data can not be used to predict outcomes for individual candidates. | 1-Hardcastle, Cheryl | NDP | 23,215 | 23,215.0 | ✔ |
1-Gignac, Jo-Anne | Con | 14,656 | 14,656.0 | |||
1-Schiller, Frank | Lib | 14,177 | 14,177.0 | |||
1-Momotiuk, David | Grn | 1,047 | 1,047.0 | |||
1-Chesnik, Laura | M-L | 249 | 249.0 | |||
fptp.35117 |
This data can not be used to predict outcomes for individual candidates. | 1-Masse, Brian | NDP | 24,085 | 24,085.0 | ✔ |
1-Sundin, Dave | Lib | 11,842 | 11,842.0 | |||
1-Lau, Henry | Con | 9,734 | 9,734.0 | |||
1-LaRussa, Cora | Grn | 1,083 | 1,083.0 | |||
1-Villamizar, Margaret | M-L | 161 | 161.0 | |||
fptp.35118 |
This data can not be used to predict outcomes for individual candidates. | 1-Levitt, Michael | Lib | 20,131 | 20,131.0 | ✔ |
1-Adler, Mark | Con | 18,893 | 18,893.0 | |||
1-Berman, Hal | NDP | 3,148 | 3,148.0 | |||
1-Kritsonis, Constantine | Grn | 772 | 772.0 | |||
fptp.35119 |
This data can not be used to predict outcomes for individual candidates. | 1-Van Loan, Peter | Con | 24,058 | 24,058.0 | ✔ |
1-Tanaka, Shaun | Lib | 18,083 | 18,083.0 | |||
1-Gerl, Sylvia | NDP | 4,255 | 4,255.0 | |||
1-Viitala, Mark | Grn | 1,483 | 1,483.0 | |||
fptp.35120 |
This data can not be used to predict outcomes for individual candidates. | 1-Hussen, Ahmed | Lib | 20,093 | 20,093.0 | ✔ |
1-Sullivan, Mike | NDP | 13,281 | 13,281.0 | |||
1-Robinson, James | Con | 8,399 | 8,399.0 | |||
1-Lepone, Stephen | Lbt | 1,041 | 1,041.0 | |||
1-Johnson, John | Grn | 892 | 892.0 | |||
fptp.35121 |
This data can not be used to predict outcomes for individual candidates. | 1-Sgro, Judy | Lib | 23,995 | 23,995.0 | ✔ |
1-Vandenberg, Kerry | Con | 7,228 | 7,228.0 | |||
1-Harris, Darnel | NDP | 3,851 | 3,851.0 | |||
1-Jarrett, Keith | Grn | 584 | 584.0 | |||
1-Nugent, Christine | M-L | 201 | 201.0 |
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-MacAulay, Lawrence | Lib | 14,621 | 14,621.0 | ✔ |
1-Patkai, Julius | Con | 3,632 | 3,632.0 | |||
1-Cann, Billy | NDP | 2,503 | 2,503.0 | |||
1-Doyle, Teresa | Grn | 1,434 | 1,434.0 | |||
1-Squires, Christene | CHP | 295 | 295.0 | |||
fptp.11002 |
This data can not be used to predict outcomes for individual candidates. | 1-Casey, Sean | Lib | 11,910 | 11,910.0 | ✔ |
1-Byrne, Joe | NDP | 4,897 | 4,897.0 | |||
1-MacMillan, Ron | Con | 3,136 | 3,136.0 | |||
1-Viau, Becka | Grn | 1,222 | 1,222.0 | |||
fptp.11003 |
This data can not be used to predict outcomes for individual candidates. | 1-Morrissey, Bobby | Lib | 10,521 | 10,521.0 | ✔ |
1-Shea, Gail | Con | 6,185 | 6,185.0 | |||
1-Dickieson, Herb | NDP | 4,097 | 4,097.0 | |||
1-Ling, Nils | Grn | 559 | 559.0 | |||
fptp.11004 |
This data can not be used to predict outcomes for individual candidates. | 1-Easter, Wayne | Lib | 13,950 | 13,950.0 | ✔ |
1-Stewart, Stephen | Con | 3,947 | 3,947.0 | |||
1-Hayward, Leah-Jane | NDP | 2,509 | 2,509.0 | |||
1-Lund, Lynne | Grn | 2,066 | 2,066.0 |
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-Saganash, Romeo | NDP | 12,778 | 12,778.0 | ✔ |
1-Dufour, Pierre | Lib | 11,094 | 11,094.0 | |||
1-Ferland, Luc | Bloc | 6,398 | 6,398.0 | |||
1-HУЉbert, Steven | Con | 3,211 | 3,211.0 | |||
1-BenoУЎt, Patrick | Grn | 779 | 779.0 | |||
1-Gagnon, Mario | Oth | 258 | 258.0 | |||
fptp.24002 |
This data can not be used to predict outcomes for individual candidates. | 1-Moore, Christine | NDP | 20,636 | 20,636.0 | ✔ |
1-Thibault, Claude | Lib | 14,733 | 14,733.0 | |||
1-Moreau, Yvon | Bloc | 9,651 | 9,651.0 | |||
1-Fortin, Benoit | Con | 3,425 | 3,425.0 | |||
1-BУЉgin, Aline | Grn | 859 | 859.0 | |||
1-GУЉlinas, Pascal Le Fou | Oth | 425 | 425.0 | |||
fptp.24003 |
This data can not be used to predict outcomes for individual candidates. | 1-Joly, MУЉlanie | Lib | 26,026 | 26,026.0 | ✔ |
1-Mourani, Maria | NDP | 16,684 | 16,684.0 | |||
1-Bourdon, Nicolas | Bloc | 7,346 | 7,346.0 | |||
1-Moughrabi, Wiliam | Con | 4,051 | 4,051.0 | |||
1-Mercier, Gilles | Grn | 1,175 | 1,175.0 | |||
1-Gascon-David, Catherine | Oth | 285 | 285.0 | |||
fptp.24004 |
This data can not be used to predict outcomes for individual candidates. | 1-Iacono, Angelo | Lib | 24,557 | 24,557.0 | ✔ |
1-DorУЉ Lefebvre, Rosane | NDP | 13,225 | 13,225.0 | |||
1-St-Hilaire, Daniel | Bloc | 9,836 | 9,836.0 | |||
1-Purcarus, Gabriel | Con | 6,259 | 6,259.0 | |||
1-Briguene, Lynda | Grn | 1,089 | 1,089.0 | |||
1-Isopo, Renata | Ind | 203 | 203.0 | |||
fptp.24005 |
This data can not be used to predict outcomes for individual candidates. | 1-Lauzon, StУЉphane | Lib | 22,093 | 22,093.0 | ✔ |
1-CrУЊte, Chantal | NDP | 12,650 | 12,650.0 | |||
1-Beauchamp, Jonathan | Bloc | 9,525 | 9,525.0 | |||
1-HupУЉ-Labelle, Maxime | Con | 5,680 | 5,680.0 | |||
1-Lamarche, Audrey | Grn | 1,118 | 1,118.0 | |||
fptp.24006 |
This data can not be used to predict outcomes for individual candidates. | 1-MassУЉ, RУЉmi | Lib | 14,378 | 14,378.0 | ✔ |
1-Fleury-Samson, KУЉdina | Bloc | 7,641 | 7,641.0 | |||
1-Charest, JoУЋl | NDP | 7,340 | 7,340.0 | |||
1-Fortin, Jean-FranУЇois | Oth | 4,229 | 4,404.0 | |||
1-Savoie, AndrУЉ | Con | 2,228 | 2,228.0 | |||
1-Springle, Sherri | Grn | 365 | 365.0 | |||
1-Normand, Уric | Oth | 175 | 0.0 | |||
fptp.24007 |
This data can not be used to predict outcomes for individual candidates. | 1-Bernier, Maxime | Con | 32,910 | 32,910.0 | ✔ |
1-Veilleux, Adam | Lib | 12,442 | 12,442.0 | |||
1-Royer, Daniel | NDP | 5,443 | 5,443.0 | |||
1-Trudel, StУЉphane | Bloc | 4,144 | 4,144.0 | |||
1-MacDonald, CУЉline Brown | Grn | 943 | 943.0 | |||
fptp.24008 |
This data can not be used to predict outcomes for individual candidates. | 1-Clarke, Alupa | Con | 15,461 | 15,461.0 | ✔ |
1-CУДtУЉ, Raymond | NDP | 12,881 | 12,881.0 | |||
1-Bujold, Antoine | Lib | 12,854 | 12,854.0 | |||
1-Berberi, Doni | Bloc | 7,467 | 7,467.0 | |||
1-Elhak, Dalila | Grn | 1,220 | 1,220.0 | |||
1-Bedard, Francis | Lbt | 423 | 423.0 | |||
1-Moreau, Claude | M-L | 128 | 128.0 | |||
1-Laborit, Bladimir | Oth | 124 | 124.0 | |||
fptp.24009 |
This data can not be used to predict outcomes for individual candidates. | 1-Plamondon, Louis | Bloc | 20,871 | 20,871.0 | ✔ |
1-Carpentier, Claude | Lib | 12,666 | 12,666.0 | |||
1-Tabah, Nicolas | NDP | 11,531 | 11,531.0 | |||
1-Laberge, Yves | Con | 5,955 | 5,955.0 | |||
1-Bastiani, Corina | Grn | 1,182 | 1,182.0 | |||
fptp.24010 |
This data can not be used to predict outcomes for individual candidates. | 1-Blaney, Steven | Con | 31,872 | 31,872.0 | ✔ |
1-Turgeon, Jacques | Lib | 12,961 | 12,961.0 | |||
1-Daigle, Jean-Luc | NDP | 8,516 | 8,516.0 | |||
1-DubУЉ, Antoine | Bloc | 7,217 | 7,217.0 | |||
1-BУЉlisle, AndrУЉ | Grn | 2,032 | 2,032.0 | |||
fptp.24011 |
This data can not be used to predict outcomes for individual candidates. | 1-DubУЉ, Matthew | NDP | 20,641 | 20,641.0 | ✔ |
1-Desjardins, Karine | Lib | 19,494 | 19,494.0 | |||
1-Lessard, Yves | Bloc | 18,387 | 18,387.0 | |||
1-Chalhoub, Claude | Con | 6,173 | 6,173.0 | |||
1-YansanУЉ, FodУЉ Kerfalla | Grn | 1,498 | 1,498.0 | |||
1-Maher, Michael | Lbt | 245 | 245.0 | |||
fptp.24012 |
This data can not be used to predict outcomes for individual candidates. | 1-Brosseau, Ruth Ellen | NDP | 22,942 | 22,942.0 | ✔ |
1-Perron, Yves | Bloc | 14,037 | 14,037.0 | |||
1-Destrempes, Pierre | Lib | 11,032 | 11,032.0 | |||
1-Foucrault, Marianne | Con | 5,548 | 5,548.0 | |||
1-Burton, Cate | Grn | 847 | 847.0 | |||
fptp.24013 |
This data can not be used to predict outcomes for individual candidates. | 1-Ayoub, Ramez | Lib | 18,281 | 18,281.0 | ✔ |
1-Marginean, Alain | Bloc | 15,238 | 15,238.0 | |||
1-GiguУЈre, Alain | NDP | 14,022 | 14,022.0 | |||
1-Puga, Manuel | Con | 7,000 | 7,000.0 | |||
1-Carkner, Andrew | Grn | 1,352 | 1,352.0 | |||
1-Guindon, Daniel | Lbt | 355 | 355.0 | |||
fptp.24014 |
This data can not be used to predict outcomes for individual candidates. | 1-Barsalou-Duval, Xavier | Bloc | 17,007 | 17,007.0 | ✔ |
1-Gagnon, Lucie | Lib | 16,794 | 16,794.0 | |||
1-Fortin, RaphaУЋl | NDP | 14,454 | 14,454.0 | |||
1-Maheux, Clovis | Con | 6,079 | 6,079.0 | |||
1-Lauzon, JiCi | Grn | 5,056 | 5,056.0 | |||
fptp.24015 |
This data can not be used to predict outcomes for individual candidates. | 1-Dubourg, Emmanuel | Lib | 22,234 | 22,234.0 | ✔ |
1-LУЉveillУЉ, Gilles | Bloc | 7,049 | 7,049.0 | |||
1-Laguerre, Dolmine | NDP | 6,144 | 6,144.0 | |||
1-Potasso-Justino, Jason | Con | 3,819 | 3,819.0 | |||
1-Charron, Maxime | Grn | 886 | 886.0 | |||
1-Demers, Julie | Ind | 669 | 669.0 | |||
1-Brunelle, Claude | M-L | 229 | 229.0 | |||
1-Ndzana, Jean-Marie Floriant | Oth | 99 | 99.0 | |||
fptp.24016 |
This data can not be used to predict outcomes for individual candidates. | 1-Paradis, Denis | Lib | 25,744 | 25,744.0 | ✔ |
1-Lusson, Catherine | NDP | 14,383 | 14,383.0 | |||
1-Melchior, Patrick | Bloc | 10,252 | 10,252.0 | |||
1-Poulin, Charles | Con | 6,724 | 6,724.0 | |||
1-Moynan, Cindy | Grn | 1,377 | 1,377.0 | |||
1-Paine, Patrick | Oth | 195 | 195.0 | |||
fptp.24017 |
This data can not be used to predict outcomes for individual candidates. | 1-MendУЈs, Alexandra | Lib | 28,818 | 28,818.0 | ✔ |
1-Mai, Hoang | NDP | 14,075 | 14,075.0 | |||
1-Hamidi, Qais | Con | 7,215 | 7,215.0 | |||
1-Lachance, Suzanne | Bloc | 6,071 | 6,071.0 | |||
1-Hu, Fang | Grn | 1,081 | 1,081.0 | |||
fptp.24018 |
This data can not be used to predict outcomes for individual candidates. | 1-Caron, Guy | NDP | 19,374 | 19,374.0 | ✔ |
1-Cadieux, Pierre | Lib | 12,594 | 12,594.0 | |||
1-Carignan, Johanne | Bloc | 8,673 | 8,673.0 | |||
1-Fortin, Francis | Con | 3,363 | 3,363.0 | |||
1-Boutin, Louise | Grn | 669 | 669.0 | |||
1-CУДrriveau, SУЉbastien CУДRhino | Oth | 273 | 273.0 | |||
fptp.24019 |
This data can not be used to predict outcomes for individual candidates. | 1-Paul-Hus, Pierre | Con | 24,608 | 24,608.0 | ✔ |
1-CУДtУЉ, Jean | Lib | 13,525 | 13,525.0 | |||
1-Day, Anne-Marie | NDP | 11,690 | 11,690.0 | |||
1-Turmel, Marc Antoine | Bloc | 7,177 | 7,177.0 | |||
1-Baudet, Nathalie | Grn | 1,256 | 1,256.0 | |||
fptp.24020 |
This data can not be used to predict outcomes for individual candidates. | 1-Boucher, Sylvie | Con | 16,903 | 16,903.0 | ✔ |
1-Vigneau, Jean-Roger | Lib | 13,556 | 13,556.0 | |||
1-Dufour, SУЉbastien | Bloc | 9,650 | 9,650.0 | |||
1-Tremblay, Jonathan | NDP | 9,306 | 9,306.0 | |||
1-Kerr, Patrick | Grn | 859 | 859.0 | |||
1-Desjardins Pelchat, Mario | Oth | 182 | 182.0 | |||
fptp.24021 |
This data can not be used to predict outcomes for individual candidates. | 1-Shanahan, Brenda | Lib | 20,245 | 20,245.0 | ✔ |
1-StankУЉ, Sophie | Bloc | 12,615 | 12,615.0 | |||
1-Chicoine, Sylvain | NDP | 11,986 | 11,986.0 | |||
1-St-Pierre, Philippe | Con | 5,805 | 5,805.0 | |||
1-Mercier, Jency | Grn | 982 | 982.0 | |||
1-Sullivan, Linda | M-L | 149 | 149.0 | |||
fptp.24022 |
This data can not be used to predict outcomes for individual candidates. | 1-Lemieux, Denis | Lib | 13,619 | 13,619.0 | ✔ |
1-Morin, Dany | NDP | 13,019 | 13,019.0 | |||
1-Gauthier, Уlise | Bloc | 8,990 | 8,990.0 | |||
1-Ste-Marie, Caroline | Con | 7,270 | 7,270.0 | |||
1-St-Gelais, Dany | Grn | 907 | 907.0 | |||
fptp.24023 |
This data can not be used to predict outcomes for individual candidates. | 1-Bibeau, Marie-Claude | Lib | 20,582 | 20,582.0 | ✔ |
1-Rousseau, Jean | NDP | 15,300 | 15,300.0 | |||
1-Bonsant, France | Bloc | 11,551 | 11,551.0 | |||
1-Labrador, Gustavo | Con | 6,978 | 6,978.0 | |||
1-Marshall, Korie | Grn | 1,085 | 1,085.0 | |||
1-CУДtУЉ, KУЉvin | Oth | 315 | 315.0 | |||
fptp.24024 |
This data can not be used to predict outcomes for individual candidates. | 1-Dhillon, Anju | Lib | 29,974 | 29,974.0 | ✔ |
1-Morin, Isabelle | NDP | 11,769 | 11,769.0 | |||
1-Chivu, Daniela | Con | 6,049 | 6,049.0 | |||
1-Vaudry, Jean-FrУЉdУЉric | Bloc | 5,338 | 5,338.0 | |||
1-J. Carbonneau, Vincent | Grn | 1,245 | 1,245.0 | |||
1-Ndiaye, SoulУЈye | Ind | 230 | 230.0 | |||
fptp.24025 |
This data can not be used to predict outcomes for individual candidates. | 1-Choquette, FranУЇois | NDP | 15,833 | 15,833.0 | ✔ |
1-CУДtУЉ, Pierre | Lib | 13,793 | 13,793.0 | |||
1-Bourgeois, Diane | Bloc | 11,862 | 11,862.0 | |||
1-DУЉry, Pascale | Con | 9,221 | 9,221.0 | |||
1-Coderre, Уmile | Grn | 1,270 | 1,270.0 | |||
fptp.24026 |
This data can not be used to predict outcomes for individual candidates. | 1-Lebouthillier, Diane | Lib | 15,345 | 15,345.0 | ✔ |
1-Toone, Philip | NDP | 12,885 | 12,885.0 | |||
1-Roussy, Nicolas | Bloc | 8,289 | 8,289.0 | |||
1-Pigeon, Jean-Pierre | Con | 2,398 | 2,398.0 | |||
1-Morrison, Jim | Grn | 400 | 400.0 | |||
1-Boudreau, Max | Oth | 300 | 300.0 | |||
fptp.24027 |
This data can not be used to predict outcomes for individual candidates. | 1-MacKinnon, Steven | Lib | 31,076 | 31,076.0 | ✔ |
1-Boivin, FranУЇoise | NDP | 15,352 | 15,352.0 | |||
1-Boily, Philippe | Bloc | 5,455 | 5,455.0 | |||
1-Angers, Luc | Con | 4,733 | 4,733.0 | |||
1-Dostaler, Guy | Grn | 942 | 942.0 | |||
1-Bellavance, Guy J. | Ind | 148 | 148.0 | |||
1-SoubliУЈre, Pierre | M-L | 94 | 94.0 | |||
fptp.24028 |
This data can not be used to predict outcomes for individual candidates. | 1-Boutin-Sweet, Marjolaine | NDP | 16,034 | 16,034.0 | ✔ |
1-Rizqy, Marwah | Lib | 15,534 | 15,534.0 | |||
1-Marchand, Simon | Bloc | 14,389 | 14,389.0 | |||
1-Dang, Alexandre | Con | 3,555 | 3,555.0 | |||
1-Saint-Cerny, Anne-Marie | Grn | 1,654 | 1,654.0 | |||
1-Lemay, Nicolas | Oth | 411 | 411.0 | |||
1-Breton Fontaine, Marianne | Com | 179 | 179.0 | |||
1-Dandenault, Christine | M-L | 148 | 148.0 | |||
fptp.24029 |
This data can not be used to predict outcomes for individual candidates. | 1-Rodriguez, Pablo | Lib | 29,211 | 29,211.0 | ✔ |
1-Ayala, Paulina | NDP | 8,478 | 8,478.0 | |||
1-BeausУЉjour, Audrey | Bloc | 6,680 | 6,680.0 | |||
1-Croteau, Guy | Con | 6,226 | 6,226.0 | |||
1-Budilean, Angela | Grn | 814 | 814.0 | |||
1-Dejean, Dayana | Oth | 168 | 168.0 | |||
1-Le Seigle, Yves | M-L | 81 | 81.0 | |||
fptp.24030 |
This data can not be used to predict outcomes for individual candidates. | 1-Fergus, Greg | Lib | 28,478 | 28,478.0 | ✔ |
1-Turmel, Nycole | NDP | 17,472 | 17,472.0 | |||
1-Boulrice, Уtienne | Con | 4,278 | 4,278.0 | |||
1-Chouinard-Boucher, Maude | Bloc | 3,625 | 3,625.0 | |||
1-Fleury, Roger | Grn | 1,035 | 1,035.0 | |||
1-Mulligan, Sean J. | CHP | 291 | 291.0 | |||
1-Desjardins, Luc | Ind | 160 | 160.0 | |||
1-Girard-Bernier, Gabriel | M-L | 101 | 101.0 | |||
fptp.24031 |
This data can not be used to predict outcomes for individual candidates. | 1-Ste-Marie, Gabriel | Bloc | 18,875 | 18,875.0 | ✔ |
1-Bourgeois, Michel | Lib | 15,995 | 15,995.0 | |||
1-Landreville, Danielle | NDP | 14,566 | 14,566.0 | |||
1-Eid, Soheil | Con | 5,705 | 5,705.0 | |||
1-Morin, Mathieu | Grn | 1,335 | 1,335.0 | |||
1-Morais, Robert D. | Oth | 213 | 213.0 | |||
fptp.24032 |
This data can not be used to predict outcomes for individual candidates. | 1-Trudel, Karine | NDP | 14,039 | 14,039.0 | ✔ |
1-Pettersen, Marc | Lib | 13,700 | 13,700.0 | |||
1-Caron, Jean-FranУЇois | Bloc | 11,202 | 11,202.0 | |||
1-Larouche, Ursula | Con | 8,124 | 8,124.0 | |||
1-Budilean, Carmen | Grn | 656 | 656.0 | |||
1-Couture, Marielle | Oth | 382 | 382.0 | |||
fptp.24033 |
This data can not be used to predict outcomes for individual candidates. | 1-Beaulieu, Mario | Bloc | 18,545 | 18,545.0 | ✔ |
1-Simard, Marie-Chantale | Lib | 15,777 | 15,777.0 | |||
1-PУЉclet, Уve | NDP | 14,777 | 14,777.0 | |||
1-Morissette, Guy | Con | 4,408 | 4,408.0 | |||
1-Cox, David J. | Grn | 1,130 | 1,130.0 | |||
1-Benoit, Ben 97 | Oth | 358 | 493.0 | |||
1-Larose, Jean-FranУЇois | Oth | 135 | 0.0 | |||
1-Royer, GeneviУЈve | M-L | 96 | 96.0 | |||
fptp.24034 |
This data can not be used to predict outcomes for individual candidates. | 1-Poissant, Jean-Claude | Lib | 20,993 | 20,993.0 | ✔ |
1-Picard, Christian | Bloc | 15,107 | 15,107.0 | |||
1-Chicoine, Pierre | NDP | 13,174 | 13,174.0 | |||
1-Perras, Yves | Con | 6,859 | 6,859.0 | |||
1-Tomas, Joanne | Grn | 1,235 | 1,235.0 | |||
1-Chouinard, Normand | M-L | 204 | 204.0 | |||
fptp.24035 |
This data can not be used to predict outcomes for individual candidates. | 1-Lebel, Denis | Con | 18,393 | 18,393.0 | ✔ |
1-Dallaire, GisУЈle | NDP | 15,735 | 15,735.0 | |||
1-Simard, Sabin | Lib | 10,193 | 10,193.0 | |||
1-Gaudreault, Sabin | Bloc | 10,152 | 10,152.0 | |||
1-RequilУЉ, Laurence | Grn | 806 | 806.0 | |||
fptp.24036 |
This data can not be used to predict outcomes for individual candidates. | 1-Scarpaleggia, Francis | Lib | 39,965 | 39,965.0 | ✔ |
1-Girard, Eric | Con | 10,857 | 10,857.0 | |||
1-Young, Ryan | NDP | 7,997 | 7,997.0 | |||
1-Dean, Bradford | Grn | 1,812 | 1,812.0 | |||
1-Bernier, Gabriel | Bloc | 1,681 | 1,681.0 | |||
fptp.24037 |
This data can not be used to predict outcomes for individual candidates. | 1-Lametti, David | Lib | 23,603 | 23,603.0 | ✔ |
1-LeBlanc, HУЉlУЈne | NDP | 15,566 | 15,566.0 | |||
1-Paquette, Gilbert | Bloc | 9,164 | 9,164.0 | |||
1-Zamir, Mohammad | Con | 3,713 | 3,713.0 | |||
1-Banville, Lorraine | Grn | 1,717 | 1,717.0 | |||
fptp.24038 |
This data can not be used to predict outcomes for individual candidates. | 1-Graham, David | Lib | 20,277 | 20,277.0 | ✔ |
1-RУЉgimbald, Johanne | Bloc | 18,792 | 18,792.0 | |||
1-Landry, Simon-Pierre | NDP | 16,644 | 16,644.0 | |||
1-Charron, Sylvain | Con | 6,209 | 6,209.0 | |||
1-Hedjazi, Niloufar | Grn | 1,251 | 1,251.0 | |||
fptp.24039 |
This data can not be used to predict outcomes for individual candidates. | 1-LaverdiУЈre, HУЉlУЈne | NDP | 20,929 | 20,929.0 | ✔ |
1-Duceppe, Gilles | Bloc | 15,699 | 15,699.0 | |||
1-Poirier, Christine | Lib | 12,938 | 12,938.0 | |||
1-Gaudreau, Daniel | Con | 2,242 | 2,242.0 | |||
1-Giraud, Cyrille | Grn | 1,904 | 1,904.0 | |||
1-Beaulieu, StУЉphane | Lbt | 604 | 604.0 | |||
1-Bernatchez, Julien | Ind | 160 | 160.0 | |||
1-Lachapelle, Serge | M-L | 103 | 103.0 | |||
1-Fontaine, Pierre | Com | 102 | 102.0 | |||
fptp.24040 |
This data can not be used to predict outcomes for individual candidates. | 1-El-Khoury, FayУЇal | Lib | 25,857 | 25,857.0 | ✔ |
1-Pilon, FranУЇois | NDP | 10,710 | 10,710.0 | |||
1-Dick, Roland | Con | 9,811 | 9,811.0 | |||
1-Redhead, Nancy | Bloc | 6,731 | 6,731.0 | |||
1-R'Guiba-Kalogerakis, Faiza | Grn | 921 | 921.0 | |||
1-Breton, Yvon | M-L | 175 | 175.0 | |||
fptp.24041 |
This data can not be used to predict outcomes for individual candidates. | 1-Romanado, Sherry | Lib | 18,301 | 18,301.0 | ✔ |
1-Cloutier, Philippe | Bloc | 13,974 | 13,974.0 | |||
1-GroguhУЉ, Sadia | NDP | 12,468 | 12,468.0 | |||
1-BarrУЉ, Thomas | Con | 4,961 | 4,961.0 | |||
1-Leclerc, Mario | Grn | 1,510 | 1,510.0 | |||
1-Liberman, Matthew Iakov | Oth | 325 | 325.0 | |||
1-ChУЉnier, Pierre | M-L | 168 | 168.0 | |||
fptp.24042 |
This data can not be used to predict outcomes for individual candidates. | 1-Gourde, Jacques | Con | 31,357 | 31,357.0 | ✔ |
1-Boucher, Claude | Lib | 13,562 | 13,562.0 | |||
1-Bilodeau, HУЉlУЈne | NDP | 9,246 | 9,246.0 | |||
1-GagnУЉ, Steve | Bloc | 7,163 | 7,163.0 | |||
1-Biello, Tina | Grn | 1,124 | 1,124.0 | |||
1-Belanger, FranУЇois | Oth | 136 | 136.0 | |||
fptp.24043 |
This data can not be used to predict outcomes for individual candidates. | 1-Nantel, Pierre | NDP | 18,171 | 18,171.0 | ✔ |
1-O'Grady, Michael | Lib | 17,468 | 17,468.0 | |||
1-Trudel, Denis | Bloc | 15,873 | 15,873.0 | |||
1-Sedlak, John | Con | 5,087 | 5,087.0 | |||
1-Poitras, Casandra | Grn | 1,447 | 1,447.0 | |||
1-Lwalalika, Affine | Oth | 153 | 153.0 | |||
fptp.24044 |
This data can not be used to predict outcomes for individual candidates. | 1-Lightbound, JoУЋl | Lib | 21,516 | 21,516.0 | ✔ |
1-Asselin, Jean-Pierre | Con | 16,789 | 16,789.0 | |||
1-Blanchette, Denis | NDP | 12,850 | 12,850.0 | |||
1-Pageau, Caroline | Bloc | 8,900 | 8,900.0 | |||
1-Beaudoin-Julien, AndrУЉe-Anne | Grn | 1,561 | 1,561.0 | |||
1-Jetchick, Stefan | CHP | 128 | 128.0 | |||
fptp.24045 |
This data can not be used to predict outcomes for individual candidates. | 1-Deltell, GУЉrard | Con | 32,637 | 32,637.0 | ✔ |
1-Rousseau, Youri | Lib | 13,852 | 13,852.0 | |||
1-Caron, G. Daniel | NDP | 10,296 | 10,296.0 | |||
1-Sirard, Ronald | Bloc | 6,688 | 6,688.0 | |||
1-Savard, Michel | Grn | 1,210 | 1,210.0 | |||
fptp.24046 |
This data can not be used to predict outcomes for individual candidates. | 1-Gill, MarilУЈne | Bloc | 17,338 | 17,338.0 | ✔ |
1-Tremblay, Mario | Lib | 12,343 | 12,343.0 | |||
1-Genest-Jourdain, Jonathan | NDP | 7,359 | 7,359.0 | |||
1-Boudreau, Yvon | Con | 4,317 | 4,317.0 | |||
1-Grills, Nathan | Grn | 673 | 673.0 | |||
fptp.24047 |
This data can not be used to predict outcomes for individual candidates. | 1-Berthold, Luc | Con | 16,749 | 16,749.0 | ✔ |
1-Berthiaume, David | Lib | 13,308 | 13,308.0 | |||
1-Delisle, Jean-FranУЇois | NDP | 10,386 | 10,386.0 | |||
1-Provost, Virginie | Bloc | 5,838 | 5,838.0 | |||
1-Gervais, Justin | Grn | 1,006 | 1,006.0 | |||
fptp.24048 |
This data can not be used to predict outcomes for individual candidates. | 1-Marcil, Simon | Bloc | 18,710 | 18,710.0 | ✔ |
1-Freeman, MylУЈne | NDP | 17,873 | 17,873.0 | |||
1-Trudel, Karl | Lib | 15,514 | 15,514.0 | |||
1-Ferguson, Gordon | Con | 6,020 | 6,020.0 | |||
1-Gifford, Jocelyn | Grn | 1,301 | 1,301.0 | |||
fptp.24049 |
This data can not be used to predict outcomes for individual candidates. | 1-Picard, Michel | Lib | 18,848 | 18,848.0 | ✔ |
1-Fournier, Catherine | Bloc | 16,460 | 16,460.0 | |||
1-Sellah, Djaouida | NDP | 14,296 | 14,296.0 | |||
1-Duranleau, StУЉphane | Con | 6,284 | 6,284.0 | |||
1-Adam, Olivier | Grn | 1,388 | 1,388.0 | |||
1-Leclair, Claude | Lbt | 641 | 641.0 | |||
fptp.24050 |
This data can not be used to predict outcomes for individual candidates. | 1-ThУЉriault, Luc | Bloc | 19,405 | 19,405.0 | ✔ |
1-Thouin, Louis-Charles | Lib | 14,484 | 14,484.0 | |||
1-Leclerc, Martin | NDP | 12,431 | 12,431.0 | |||
1-DesRoches, GisУЈle | Con | 5,093 | 5,093.0 | |||
1-Ang, Yumi Yow Mei | Grn | 976 | 976.0 | |||
1-Perreault, Manon | Oth | 620 | 620.0 | |||
fptp.24051 |
This data can not be used to predict outcomes for individual candidates. | 1-GУЉnУЉreux, Bernard | Con | 14,274 | 14,274.0 | ✔ |
1-Normand, Marie-JosУЉe | Lib | 14,002 | 14,002.0 | |||
1-Lapointe, FranУЇois | NDP | 11,918 | 11,918.0 | |||
1-Gagnon, Louis | Bloc | 7,939 | 7,939.0 | |||
1-Breton, Chantal | Grn | 823 | 823.0 | |||
1-GagnУЉ, Bien Gras | Oth | 287 | 287.0 | |||
fptp.24052 |
This data can not be used to predict outcomes for individual candidates. | 1-Housefather, Anthony | Lib | 24,187 | 24,187.0 | ✔ |
1-Libman, Robert | Con | 18,201 | 18,201.0 | |||
1-Rimbao, Mario Jacinto | NDP | 3,884 | 3,884.0 | |||
1-BossУЉ BУЉlanger, Jade | Bloc | 908 | 908.0 | |||
1-Landry, Timothy | Grn | 747 | 747.0 | |||
1-Johnston, Diane | M-L | 124 | 124.0 | |||
fptp.24053 |
This data can not be used to predict outcomes for individual candidates. | 1-Garneau, Marc | Lib | 29,755 | 29,755.0 | ✔ |
1-Hughes, James | NDP | 11,229 | 11,229.0 | |||
1-Sagala, Richard | Con | 7,414 | 7,414.0 | |||
1-Wheeler, Melissa Kate | Grn | 1,581 | 1,581.0 | |||
1-Quesnel, Simon | Bloc | 1,282 | 1,282.0 | |||
1-Hoffman, Rachel | M-L | 181 | 181.0 | |||
1-Cahn, Lisa Julie | Ind | 151 | 151.0 | |||
fptp.24054 |
This data can not be used to predict outcomes for individual candidates. | 1-Mulcair, Tom | NDP | 19,242 | 19,242.0 | ✔ |
1-Bendayan, Rachel | Lib | 14,597 | 14,597.0 | |||
1-Husny, Rodolphe | Con | 4,159 | 4,159.0 | |||
1-Galland Barou, Roger | Bloc | 3,668 | 3,668.0 | |||
1-Diallo, Amara | Grn | 1,575 | 1,575.0 | |||
1-Pouliot, Francis | Lbt | 216 | 216.0 | |||
1-Welsh, Adrien | Com | 162 | 162.0 | |||
fptp.24055 |
This data can not be used to predict outcomes for individual candidates. | 1-Trudeau, Justin | Lib | 26,391 | 26,391.0 | ✔ |
1-LagacУЉ Dowson, Anne | NDP | 13,132 | 13,132.0 | |||
1-Claveau, Maxime | Bloc | 6,182 | 6,182.0 | |||
1-Vadnais, Yvon | Con | 2,390 | 2,390.0 | |||
1-Polifroni, Danny | Grn | 1,443 | 1,443.0 | |||
1-Lloyd, Chris | Ind | 505 | 767.0 | |||
1-Gaudet, Tommy | Oth | 323 | 323.0 | |||
1-Waldron, Kim | Ind | 159 | 0.0 | |||
1-Macrisopoulos, Peter | M-L | 142 | 142.0 | |||
1-Bernardo, Beverly | Ind | 103 | 0.0 | |||
fptp.24056 |
This data can not be used to predict outcomes for individual candidates. | 1-Baylis, Frank | Lib | 34,319 | 34,319.0 | ✔ |
1-Assouline, ValУЉrie | Con | 11,694 | 11,694.0 | |||
1-Blanchette-Lamothe, Lysane | NDP | 9,584 | 9,584.0 | |||
1-Laplante, Natalie | Bloc | 2,043 | 2,043.0 | |||
1-Weizfeld, Abraham | Grn | 865 | 865.0 | |||
fptp.24057 |
This data can not be used to predict outcomes for individual candidates. | 1-Amos, William | Lib | 34,154 | 34,154.0 | ✔ |
1-Ravignat, Mathieu | NDP | 14,090 | 14,090.0 | |||
1-Woodman, Benjamin | Con | 8,716 | 8,716.0 | |||
1-Lepage, Nicolas | Bloc | 4,337 | 4,337.0 | |||
1-Griffiths, Colin | Grn | 1,089 | 1,089.0 | |||
1-MУЉdieu, Pascal | Oth | 131 | 131.0 | |||
1-Lang, Louis | M-L | 108 | 108.0 | |||
fptp.24058 |
This data can not be used to predict outcomes for individual candidates. | 1-Godin, JoУЋl | Con | 27,290 | 27,290.0 | ✔ |
1-Michaud, Уlaine | NDP | 13,686 | 13,686.0 | |||
1-Gauvin, David | Lib | 13,322 | 13,322.0 | |||
1-Harvey, Raymond | Bloc | 6,665 | 6,665.0 | |||
1-Morin, Johanne | Grn | 1,096 | 1,096.0 | |||
fptp.24059 |
This data can not be used to predict outcomes for individual candidates. | 1-Duclos, Jean-Yves | Lib | 15,566 | 15,566.0 | ✔ |
1-Papillon, Annick | NDP | 14,566 | 14,566.0 | |||
1-Asselin, Pierre-Thomas | Con | 11,737 | 11,737.0 | |||
1-Mordret, Charles | Bloc | 10,153 | 10,153.0 | |||
1-Riboty, Philippe | Grn | 1,570 | 1,570.0 | |||
1-Fournier, Normand | M-L | 153 | 153.0 | |||
1-Provost, Danielle | Oth | 122 | 122.0 | |||
fptp.24060 |
This data can not be used to predict outcomes for individual candidates. | 1-PauzУЉ, Monique | Bloc | 22,618 | 22,618.0 | ✔ |
1-Dudas, Adriana | Lib | 17,798 | 17,798.0 | |||
1-Bellemare, RУЉjean | NDP | 15,167 | 15,167.0 | |||
1-Lefebvre, Jonathan | Con | 7,053 | 7,053.0 | |||
1-Cloutier, Johnathan | Oth | 1,333 | 1,333.0 | |||
1-Gilbert, Yoland | Grn | 1,242 | 1,242.0 | |||
fptp.24061 |
This data can not be used to predict outcomes for individual candidates. | 1-Rayes, Alain | Con | 18,505 | 18,505.0 | ✔ |
1-Desmarais, Marc | Lib | 14,463 | 14,463.0 | |||
1-Beaulieu, Myriam | NDP | 14,213 | 14,213.0 | |||
1-Nolin, Olivier | Bloc | 10,068 | 10,068.0 | |||
1-Busque, Laurier | Grn | 984 | 984.0 | |||
1-Dubois, Antoine | Oth | 384 | 384.0 | |||
fptp.24062 |
This data can not be used to predict outcomes for individual candidates. | 1-Lapointe, Linda | Lib | 18,787 | 18,787.0 | ✔ |
1-Liu, Laurin | NDP | 17,111 | 17,111.0 | |||
1-Pinel, FУЉlix | Bloc | 14,755 | 14,755.0 | |||
1-Gauthier, Уrick | Con | 6,099 | 6,099.0 | |||
1-Ware, Alec | Grn | 1,136 | 1,136.0 | |||
1-Quinteros, Luis | Ind | 158 | 158.0 | |||
fptp.24063 |
This data can not be used to predict outcomes for individual candidates. | 1-Fortin, RhУЉal | Bloc | 18,157 | 18,157.0 | ✔ |
1-Dionne Labelle, Pierre | NDP | 17,077 | 17,077.0 | |||
1-BУЉlair Rolland, Janice | Lib | 14,933 | 14,933.0 | |||
1-Vignol, Romain | Con | 4,793 | 4,793.0 | |||
1-Leckman, Joey | Grn | 1,436 | 1,436.0 | |||
1-CУДtУЉ, Fobozof A. | Oth | 261 | 261.0 | |||
fptp.24064 |
This data can not be used to predict outcomes for individual candidates. | 1-Boulerice, Alexandre | NDP | 28,672 | 28,672.0 | ✔ |
1-AndrУЉ, Claude | Bloc | 12,283 | 12,283.0 | |||
1-Medawar, Nadine | Lib | 12,068 | 12,068.0 | |||
1-Dohan, Jeremy | Con | 2,510 | 2,510.0 | |||
1-Muldeen, Sameer | Grn | 1,783 | 1,783.0 | |||
1-Aglat, Laurent | Oth | 495 | 495.0 | |||
1-d'Entremont, Peter | Lbt | 353 | 353.0 | |||
1-ChУЉnier, StУЉphane | M-L | 171 | 171.0 | |||
fptp.24065 |
This data can not be used to predict outcomes for individual candidates. | 1-Robillard, Yves | Lib | 22,323 | 22,323.0 | ✔ |
1-Lemieux, Marie-JosУЉe | NDP | 12,827 | 12,827.0 | |||
1-Jasmin-Tremblay, Patrice | Bloc | 11,820 | 11,820.0 | |||
1-Makridis, Nicolas | Con | 6,498 | 6,498.0 | |||
1-Mungur, Lorna | Grn | 1,057 | 1,057.0 | |||
fptp.24066 |
This data can not be used to predict outcomes for individual candidates. | 1-Sansoucy, Brigitte | NDP | 15,578 | 15,578.0 | ✔ |
1-Vincelette, RenУЉ | Lib | 14,980 | 14,980.0 | |||
1-Filion, Michel | Bloc | 13,200 | 13,200.0 | |||
1-LУЉveillУЉ, RУЉjean | Con | 9,098 | 9,098.0 | |||
1-Durand, Lise | Grn | 1,243 | 1,243.0 | |||
1-MУЉnard, Ugo | Ind | 270 | 270.0 | |||
fptp.24067 |
This data can not be used to predict outcomes for individual candidates. | 1-Rioux, Jean | Lib | 20,022 | 20,022.0 | ✔ |
1-Marotte, Hans | NDP | 17,555 | 17,555.0 | |||
1-Hurtubise, Denis | Bloc | 14,979 | 14,979.0 | |||
1-Guinta, StУЉphane | Con | 6,549 | 6,549.0 | |||
1-Redivo, Marilyn | Grn | 1,281 | 1,281.0 | |||
fptp.24068 |
This data can not be used to predict outcomes for individual candidates. | 1-Dion, StУЉphane | Lib | 24,832 | 24,832.0 | ✔ |
1-Yu, Jimmy | Con | 7,867 | 7,867.0 | |||
1-Ackad, Alain | NDP | 4,646 | 4,646.0 | |||
1-Dumas-Dubreuil, Pascal-Olivier | Bloc | 1,879 | 1,879.0 | |||
1-Tromp, John | Grn | 977 | 977.0 | |||
1-Deschamps, Fernand | M-L | 129 | 129.0 | |||
fptp.24069 |
This data can not be used to predict outcomes for individual candidates. | 1-Di Iorio, Nicola | Lib | 28,826 | 28,826.0 | ✔ |
1-Filato, Rosannie | NDP | 6,611 | 6,611.0 | |||
1-Fournier, Jean Philippe | Con | 4,957 | 4,957.0 | |||
1-Gendron, Steeve | Bloc | 3,204 | 3,204.0 | |||
1-Miscione, Melissa | Grn | 805 | 805.0 | |||
1-Malek, Arezki | M-L | 128 | 128.0 | |||
fptp.24070 |
This data can not be used to predict outcomes for individual candidates. | 1-Champagne, FranУЇois-Philippe | Lib | 24,475 | 24,475.0 | ✔ |
1-Tremblay, Jean-Yves | NDP | 12,245 | 12,245.0 | |||
1-Carignan Deschamps, Sacki | Bloc | 11,295 | 11,295.0 | |||
1-Grenier, Jacques | Con | 9,592 | 9,592.0 | |||
1-Toupin, Martial | Grn | 1,144 | 1,144.0 | |||
1-BУЉdard, Jean-Paul | M-L | 196 | 196.0 | |||
fptp.24071 |
This data can not be used to predict outcomes for individual candidates. | 1-Quach, Anne Minh-Thu | NDP | 18,726 | 18,726.0 | ✔ |
1-SauvУЉ, Robert | Lib | 17,955 | 17,955.0 | |||
1-DeBellefeuille, Claude | Bloc | 17,452 | 17,452.0 | |||
1-De Martin, Albert | Con | 6,132 | 6,132.0 | |||
1-Socrates, Nicola-Silverado | Grn | 867 | 867.0 | |||
1-Larocque, Sylvain | Ind | 219 | 219.0 | |||
1-Domingos, Patricia | Oth | 184 | 184.0 | |||
fptp.24072 |
This data can not be used to predict outcomes for individual candidates. | 1-Breton, Pierre | Lib | 22,957 | 22,957.0 | ✔ |
1-Mailhot, Claire | NDP | 13,945 | 13,945.0 | |||
1-Beaudoin, Jocelyn | Bloc | 13,092 | 13,092.0 | |||
1-Fontaine, Sylvie | Con | 7,529 | 7,529.0 | |||
1-McMillan, Simon | Grn | 1,397 | 1,397.0 | |||
fptp.24073 |
This data can not be used to predict outcomes for individual candidates. | 1-Dusseault, Pierre-Luc | NDP | 21,410 | 21,410.0 | ✔ |
1-Allen, Thomas ''Tom'' | Lib | 17,071 | 17,071.0 | |||
1-Bouchard, Caroline | Bloc | 11,717 | 11,717.0 | |||
1-Dauphin, Marc | Con | 5,391 | 5,391.0 | |||
1-Malouin, Sophie | Grn | 1,143 | 1,143.0 | |||
1-Huberdeau, Benoit | Ind | 303 | 303.0 | |||
1-Richard, Hubert | Oth | 265 | 265.0 | |||
fptp.24074 |
This data can not be used to predict outcomes for individual candidates. | 1-Schiefke, Peter | Lib | 30,550 | 30,550.0 | ✔ |
1-Nicholls, Jamie | NDP | 14,627 | 14,627.0 | |||
1-FranУЇois, Vincent | Bloc | 9,858 | 9,858.0 | |||
1-Boudreau, Marc | Con | 9,048 | 9,048.0 | |||
1-Kaszel, Jennifer | Grn | 1,445 | 1,445.0 | |||
fptp.24075 |
This data can not be used to predict outcomes for individual candidates. | 1-Boudrias, Michel | Bloc | 19,238 | 19,238.0 | ✔ |
1-Audette, MichУЈle | Lib | 16,316 | 16,316.0 | |||
1-Borg, Charmaine | NDP | 14,928 | 14,928.0 | |||
1-Surprenant, Michel | Con | 6,615 | 6,615.0 | |||
1-Moen, Susan | Grn | 1,016 | 1,016.0 | |||
1-SУЉnat, Louis ClУЉment | Oth | 171 | 171.0 | |||
fptp.24076 |
This data can not be used to predict outcomes for individual candidates. | 1-Aubin, Robert | NDP | 19,193 | 19,193.0 | ✔ |
1-Boivin, Yvon | Lib | 18,224 | 18,224.0 | |||
1-Therrien, Dominic | Con | 11,231 | 11,231.0 | |||
1-Valois, AndrУЉ | Bloc | 10,249 | 10,249.0 | |||
1-Trottier, Уric | Grn | 1,032 | 1,032.0 | |||
1-Rousseau, Maxime | Lbt | 360 | 360.0 | |||
fptp.24077 |
This data can not be used to predict outcomes for individual candidates. | 1-Miller, Marc | Lib | 25,491 | 25,491.0 | ✔ |
1-Turner, Allison | NDP | 11,757 | 11,757.0 | |||
1-Shanahan, Steve | Con | 5,948 | 5,948.0 | |||
1-St-Onge, Chantal | Bloc | 4,307 | 4,307.0 | |||
1-Green, Daniel | Grn | 2,398 | 2,398.0 | |||
1-Wolfe, Daniel | Oth | 161 | 161.0 | |||
1-Sloan, William | Com | 102 | 102.0 | |||
fptp.24078 |
This data can not be used to predict outcomes for individual candidates. | 1-Nassif, Eva | Lib | 25,082 | 25,082.0 | ✔ |
1-Duhamel, France | NDP | 11,391 | 11,391.0 | |||
1-Kaddouri, Barek | Bloc | 9,068 | 9,068.0 | |||
1-Mavros, Anthony | Con | 7,262 | 7,262.0 | |||
1-NУКУБez Melo, JosУЉ | Grn | 1,280 | 1,280.0 | |||
1-Jenkins, Brian | CHP | 260 | 260.0 |
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-Ritz, Gerry | Con | 20,547 | 20,547.0 | ✔ |
1-Tait, Glenn | NDP | 5,930 | 5,930.0 | |||
1-Ingram, Larry | Lib | 5,550 | 5,550.0 | |||
1-Anguish, Doug | Ind | 1,076 | 1,076.0 | |||
1-Tenkink, Mikaela | Grn | 575 | 575.0 | |||
fptp.47002 |
This data can not be used to predict outcomes for individual candidates. | 1-Anderson, David | Con | 25,050 | 25,050.0 | ✔ |
1-Wiens, Marvin | Lib | 5,381 | 5,381.0 | |||
1-Peterson, Trevor | NDP | 4,783 | 4,783.0 | |||
1-Caton, William | Grn | 993 | 993.0 | |||
fptp.47003 |
This data can not be used to predict outcomes for individual candidates. | 1-Jolibois, Georgina | NDP | 10,319 | 10,319.0 | ✔ |
1-Joseph, Lawrence | Lib | 10,237 | 10,237.0 | |||
1-Clarke, Rob | Con | 9,105 | 9,105.0 | |||
1-Koch, Warren | Grn | 552 | 552.0 | |||
fptp.47004 |
This data can not be used to predict outcomes for individual candidates. | 1-Block, Kelly | Con | 26,004 | 26,004.0 | ✔ |
1-Wright, Glenn | NDP | 7,499 | 7,499.0 | |||
1-Slusar, Alexander | Lib | 5,774 | 5,774.0 | |||
1-Oliphant, Lynn Wesley | Grn | 902 | 902.0 | |||
fptp.47005 |
This data can not be used to predict outcomes for individual candidates. | 1-Lukiwski, Tom | Con | 23,273 | 23,273.0 | ✔ |
1-Hlady, Dustan | NDP | 9,978 | 9,978.0 | |||
1-Juttla, Perry | Lib | 7,545 | 7,545.0 | |||
1-Setyo, Shawn | Grn | 961 | 961.0 | |||
1-Thomas, Robert | Oth | 208 | 208.0 | |||
fptp.47006 |
This data can not be used to predict outcomes for individual candidates. | 1-Hoback, Randy | Con | 19,673 | 19,673.0 | ✔ |
1-Borgerson, Lon | NDP | 11,244 | 11,244.0 | |||
1-Kirkby, Gordon | Lib | 7,832 | 7,832.0 | |||
1-Tenkink, Byron | Grn | 761 | 761.0 | |||
fptp.47007 |
This data can not be used to predict outcomes for individual candidates. | 1-Weir, Erin | NDP | 16,843 | 16,843.0 | ✔ |
1-Fraser, Trent | Con | 16,711 | 16,711.0 | |||
1-Browne, Louis | Lib | 13,143 | 13,143.0 | |||
1-Friesen, Tamela | Grn | 839 | 839.0 | |||
1-Dolata, Wojciech | Lbt | 298 | 298.0 | |||
fptp.47008 |
This data can not be used to predict outcomes for individual candidates. | 1-Scheer, Andrew | Con | 16,486 | 16,486.0 | ✔ |
1-Kuyek, Nial | NDP | 11,144 | 11,144.0 | |||
1-Anaquod, Della | Lib | 8,401 | 8,401.0 | |||
1-Chatterson, Greg | Grn | 852 | 852.0 | |||
fptp.47009 |
This data can not be used to predict outcomes for individual candidates. | 1-Goodale, Ralph | Lib | 23,552 | 23,552.0 | ✔ |
1-Kram, Michael | Con | 12,931 | 12,931.0 | |||
1-Bourgeois, April | NDP | 5,362 | 5,362.0 | |||
1-Simonson, Frances | Grn | 878 | 878.0 | |||
fptp.47010 |
This data can not be used to predict outcomes for individual candidates. | 1-Waugh, Kevin | Con | 19,166 | 19,166.0 | ✔ |
1-Bell, Scott | NDP | 13,909 | 13,909.0 | |||
1-Muggli, Tracy | Lib | 12,165 | 12,165.0 | |||
1-Bigland-Pritchard, Mark | Grn | 846 | 846.0 | |||
fptp.47011 |
This data can not be used to predict outcomes for individual candidates. | 1-Trost, Brad | Con | 18,592 | 18,592.0 | ✔ |
1-Card, Claire | NDP | 14,115 | 14,115.0 | |||
1-Block, Cynthia Marie | Lib | 11,287 | 11,287.0 | |||
1-Harvey, Valerie | Grn | 686 | 686.0 | |||
1-Schalm, Eric Matthew | Oth | 93 | 93.0 | |||
fptp.47012 |
This data can not be used to predict outcomes for individual candidates. | 1-Benson, Sheri | NDP | 14,921 | 14,921.0 | ✔ |
1-Donauer, Randy | Con | 12,401 | 12,401.0 | |||
1-Abbott, Lisa | Lib | 9,234 | 9,234.0 | |||
1-Mitchell, Lois Carol | Grn | 658 | 658.0 | |||
1-Pankiw, Jim | Oth | 271 | 271.0 | |||
1-Hart, Bronek | Lbt | 230 | 230.0 | |||
fptp.47013 |
This data can not be used to predict outcomes for individual candidates. | 1-Kitchen, Robert Gordon | Con | 26,315 | 26,315.0 | ✔ |
1-O'Dell, Vicky | NDP | 5,131 | 5,131.0 | |||
1-Bebbington, Steven | Lib | 5,076 | 5,076.0 | |||
1-Deptuck, Bob | Grn | 994 | 994.0 | |||
fptp.47014 |
This data can not be used to predict outcomes for individual candidates. | 1-Wagantall, Cathay | Con | 21,683 | 21,683.0 | ✔ |
1-Ottenbreit, Doug | NDP | 7,396 | 7,396.0 | |||
1-Malinoski, Brooke Taylor | Lib | 6,504 | 6,504.0 | |||
1-Hughes, Elaine Marie | Grn | 1,030 | 1,030.0 |
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 | 10,887 | 10,887.0 | ✔ |
1-Leef, Ryan | Con | 4,928 | 4,928.0 | |||
1-Atkinson, Melissa | NDP | 3,943 | 3,943.0 | |||
1-de Jong, Frank | Grn | 533 | 533.0 |