Riding Results for Alternative Vote-2021 (2021 Data)
Description
This page shows the riding-by-riding result of simulating the election using the given model. In most models (STV, most versions of MMP, RUP) existing ridings have been combined in various ways to make the new ridings. These are listed in the "Composed from" column.
In other models (FPTP, AV) the existing ridings are used without modification.
Single Member Elections: AV-2021; candidates sorted from the last selected/eliminated to the first.
Multi Member Elections: NA; candidates sorted from most to fewest raw votes.
Disclaimer
This data absolutely should not be used to make predictions about who will or will not win an actual election using this electoral system.
It's useful for understanding how votes transfer (or not, depending on the system) but it is not useful for making detailed preditions. There are too many variables at play, particularly in how ridings have been combined. In some models that has resulted in candidates being split between ridings, giving those candidates no chance of winning. That wouldn't occur in a real election, of course.
AB BC MB NB NL NS NT NU ON PE QC SK YT
Alberta
Region: R_AB
Riding ID | Composed from | Candidate | Party | Votes | Eff Votes | |
---|---|---|---|---|---|---|
fptp.48001 |
This data can not be used to predict outcomes for individual candidates. | 1-Zagoda, Sarah | NDP | 12,462 | 13,404.8 | |
1-Gamble, David | Lib | 9,472 | 10,100.6 | |||
1-Wellwood, Nadine | PPC | 5,816 | 6,444.6 | |||
1-Sloan, Derek | Oth | 2,015 | 2,015.0 | |||
1-Elnaga, Tariq | Oth | 1,475 | 1,475.0 | |||
1-Blum, Aidan | Grn | 1,405 | 1,928.8 | |||
1-O'Driscoll, Caroline | Ind | 489 | 489.0 | |||
1-Voss, Ron | Ind | 65 | 65.0 | |||
1-Richards, Blake | Con | 43,677 | 38,439.0 | ✔ | ||
fptp.48002 |
This data can not be used to predict outcomes for individual candidates. | 1-Ratushniak, Tonya | NDP | 5,743 | 7,990.2 | |
1-Trepanier, Dennis | PPC | 5,426 | 6,924.1 | |||
1-McLeod, Leah Diane | Lib | 2,527 | 4,025.1 | |||
1-Golka, Jeff | Oth | 2,395 | 2,395.0 | |||
1-Brisbin, Daniel | Grn | 565 | 1,813.5 | |||
1-Irwin, John | Oth | 178 | 178.0 | |||
1-Kurek, Damien | Con | 41,805 | 29,320.5 | ✔ | ||
fptp.48003 |
This data can not be used to predict outcomes for individual candidates. | 1-Bridges, Jonathan | PPC | 5,097 | 6,292.7 | |
1-MacLean, Michael | NDP | 4,726 | 6,519.6 | |||
1-Shawile, Getu | Lib | 3,928 | 5,123.7 | |||
1-Bliss, Orrin | Oth | 1,362 | 1,362.0 | |||
1-Lipp, Tom | CHP | 391 | 391.0 | |||
1-Shields, Martin | Con | 35,435 | 25,470.5 | ✔ | ||
fptp.48004 |
This data can not be used to predict outcomes for individual candidates. | 1-Grover, Sabrina | Lib | 17,593 | 17,692.2 | |
1-Estevez Moreno, Juan | NDP | 9,615 | 9,763.9 | |||
1-Mullins, Austin | Grn | 965 | 1,047.7 | |||
1-Pawlowski, Dawid | CHP | 575 | 575.0 | |||
1-McLean, Greg | Con | 30,404 | 29,577.0 | ✔ | ||
fptp.48005 |
This data can not be used to predict outcomes for individual candidates. | 1-Webber, Len | Con | 28,295 | 30,788.5 | ✔ |
1-Sigler, Murray | Lib | 17,574 | 22,256.6 | |||
1-Akter, Gulshan | NDP | 10,559 | 11,064.3 | |||
1-Gao, Edward | PPC | 2,672 | 2,672.0 | |||
1-Odd, Natalie | Grn | 2,297 | 2,297.0 | |||
1-Hunter, Kevan | M-L | 178 | 178.0 | |||
fptp.48006 |
This data can not be used to predict outcomes for individual candidates. | 1-Hallan, Jasraj Singh | Con | 15,389 | 17,327.5 | ✔ |
1-Stein, Jordan | Lib | 9,608 | 12,218.9 | |||
1-Gunn, Keira | NDP | 6,254 | 6,407.8 | |||
1-Holub, Dwayne | PPC | 2,518 | 2,518.0 | |||
1-Rutherford, Carey | Grn | 699 | 699.0 | |||
1-Trautman, Jonathan | Com | 185 | 185.0 | |||
fptp.48007 |
This data can not be used to predict outcomes for individual candidates. | 1-Johnson, Kathleen M. | NDP | 9,281 | 10,018.2 | |
1-Forsyth, Scott | Lib | 8,969 | 9,460.5 | |||
1-Bedard, Bailey | PPC | 2,682 | 3,173.5 | |||
1-Labell, Malka | Grn | 766 | 1,175.6 | |||
1-Freeman, Annelise | Oth | 714 | 714.0 | |||
1-Dejewski, Mark | Oth | 265 | 265.0 | |||
1-Benzen, Bob | Con | 30,870 | 26,774.5 | ✔ | ||
fptp.48008 |
This data can not be used to predict outcomes for individual candidates. | 1-Bhachu, Gurmit | NDP | 11,826 | 13,064.6 | |
1-Zafar, Zarnab | Lib | 7,947 | 8,772.7 | |||
1-Hagel, Jonathan | PPC | 3,930 | 4,755.7 | |||
1-Pulsifer, Shaun T. | Grn | 868 | 1,556.1 | |||
1-Magolan, Matt | Oth | 812 | 812.0 | |||
1-Kusie, Stephanie | Con | 39,147 | 32,266.0 | ✔ | ||
fptp.48009 |
This data can not be used to predict outcomes for individual candidates. | 1-Dale-Walker, Jessica | Lib | 10,311 | 10,647.2 | |
1-Ahmed, Khalis | NDP | 8,500 | 9,004.4 | |||
1-Scott, Kyle | PPC | 2,324 | 2,660.2 | |||
1-Hansell, Judson | Grn | 636 | 916.2 | |||
1-Wang, Vanessa | Oth | 285 | 285.0 | |||
1-Heather, Larry R. | CHP | 169 | 169.0 | |||
1-Askin, Peggy | M-L | 105 | 105.0 | |||
1-Garvey, Stephen J | Oth | 65 | 65.0 | |||
1-Rempel Garner, Michelle | Con | 28,001 | 25,199.0 | ✔ | ||
fptp.48010 |
This data can not be used to predict outcomes for individual candidates. | 1-Munir, Shahnaz | Lib | 14,673 | 15,033.2 | |
1-Kieren, Jena Dianne | NDP | 10,748 | 11,288.3 | |||
1-MacLeod, Rory | PPC | 3,002 | 3,362.2 | |||
1-Wright, Catriona | Grn | 1,052 | 1,352.2 | |||
1-Robinson, David | Oth | 554 | 554.0 | |||
1-Kelly, Pat | Con | 36,034 | 33,032.5 | ✔ | ||
fptp.48011 |
This data can not be used to predict outcomes for individual candidates. | 1-Jessel, Raj | NDP | 12,078 | 13,443.9 | |
1-Macdonald, Cam | Lib | 10,295 | 11,205.6 | |||
1-Vaillant, Ron | PPC | 4,284 | 5,194.6 | |||
1-Tanaka, Evelyn | Grn | 1,320 | 2,078.9 | |||
1-Lee, Andrea | Oth | 902 | 902.0 | |||
1-Muirhead, Konstantine | Ind | 228 | 228.0 | |||
1-Halmo, Jesse | Oth | 77 | 77.0 | |||
1-Kmiec, Tom | Con | 44,363 | 36,774.5 | ✔ | ||
fptp.48012 |
This data can not be used to predict outcomes for individual candidates. | 1-Duncan, Shawn | Lib | 11,706 | 12,304.3 | |
1-King, Patrick | NDP | 8,863 | 9,760.4 | |||
1-Debrey, Nick | PPC | 2,859 | 3,457.3 | |||
1-Corrigall, Keiran | Grn | 1,094 | 1,592.6 | |||
1-Copp, Ajay | Oth | 568 | 568.0 | |||
1-Liepert, Ron | Con | 35,063 | 30,077.5 | ✔ | ||
fptp.48013 |
This data can not be used to predict outcomes for individual candidates. | 1-Chahal, George | Lib | 20,092 | 23,545.5 | ✔ |
1-Sahota, Jag | Con | 16,768 | 18,252.7 | |||
1-Gill, Gurinder Singh | NDP | 7,690 | 7,784.8 | |||
1-Dhillon, Harry | PPC | 1,720 | 1,720.0 | |||
1-So, Janna | Grn | 431 | 431.0 | |||
1-Aquart, Lee | Ind | 184 | 184.0 | |||
1-Blanchard, Daniel | M-L | 111 | 111.0 | |||
1-Rana, Nadeem | Oth | 93 | 93.0 | |||
fptp.48014 |
This data can not be used to predict outcomes for individual candidates. | 1-Boissonnault, Randy | Lib | 16,561 | 24,268.4 | ✔ |
1-Cumming, James | Con | 15,945 | 18,270.1 | |||
1-MacKenzie, Heather | NDP | 14,141 | 14,141.0 | |||
1-Crocker, Brock | PPC | 2,094 | 2,094.0 | |||
1-Keefe, Valerie | Lbt | 265 | 265.0 | |||
1-Edwards, Merryn | M-L | 112 | 112.0 | |||
fptp.48015 |
This data can not be used to predict outcomes for individual candidates. | 1-Desjarlais, Blake | NDP | 17,437 | 21,542.0 | ✔ |
1-Diotte, Kerry | Con | 15,969 | 17,834.4 | |||
1-Mohamud, Habiba | Lib | 5,988 | 6,074.4 | |||
1-Matty, Thomas | PPC | 2,632 | 2,632.0 | |||
1-Lau, Heather | Grn | 540 | 540.0 | |||
1-Watson, Morgan | Lbt | 274 | 274.0 | |||
1-Boykowich, Alex | Com | 140 | 140.0 | |||
1-Joyce, Mary | M-L | 102 | 102.0 | |||
fptp.48016 |
This data can not be used to predict outcomes for individual candidates. | 1-Aboultaif, Ziad | Con | 20,218 | 24,613.5 | ✔ |
1-St. Germain, Charmaine | NDP | 14,999 | 19,814.3 | |||
1-Smith, Donna Lynn | Lib | 10,468 | 10,468.0 | |||
1-Halvorson, Martin | PPC | 3,407 | 3,407.0 | |||
1-Vachon, Andre | M-L | 133 | 133.0 | |||
fptp.48017 |
This data can not be used to predict outcomes for individual candidates. | 1-Henderson, Ben | Lib | 16,499 | 23,088.3 | ✔ |
1-Uppal, Tim | Con | 18,248 | 20,411.9 | |||
1-Logan, Nigel | NDP | 10,615 | 10,615.0 | |||
1-McCormack, Paul Edward | PPC | 2,967 | 2,967.0 | |||
1-Rankin, Naomi | Com | 183 | 183.0 | |||
fptp.48018 |
This data can not be used to predict outcomes for individual candidates. | 1-Jeneroux, Matt | Con | 25,702 | 28,487.0 | ✔ |
1-Chaudary, Tariq | Lib | 14,213 | 19,920.1 | |||
1-Gray, Shawn | NDP | 14,154 | 14,321.4 | |||
1-Peace, Jennifer | PPC | 2,142 | 2,142.0 | |||
1-Hoffman, Melanie | Grn | 761 | 761.0 | |||
fptp.48019 |
This data can not be used to predict outcomes for individual candidates. | 1-Obasan, Tunde | Con | 13,300 | 13,968.7 | |
1-Mohamed, Hibo | Lib | 3,948 | 6,121.3 | |||
1-Janke, Wes | PPC | 2,356 | 2,523.2 | |||
1-Green, Kelly | Grn | 674 | 1,677.1 | |||
1-Stinson, Malcolm | Lbt | 275 | 275.0 | |||
1-McPherson, Heather | NDP | 31,700 | 26,127.5 | ✔ | ||
fptp.48020 |
This data can not be used to predict outcomes for individual candidates. | 1-Hunter, Sandra | NDP | 14,190 | 20,267.6 | |
1-McCauley, Kelly | Con | 25,278 | 27,995.5 | ✔ | ||
1-Brown, Adam Wilson | Lib | 13,016 | 13,016.0 | |||
1-Kinzel, Brent | PPC | 3,354 | 3,354.0 | |||
1-Morton, Peggy | M-L | 151 | 151.0 | |||
fptp.48021 |
This data can not be used to predict outcomes for individual candidates. | 1-Charles, Hugo | NDP | 18,222 | 19,109.4 | |
1-Thiering, Ron | Lib | 12,190 | 12,781.6 | |||
1-Beauchamp, Tyler | PPC | 7,666 | 8,257.6 | |||
1-Calliou, Travis | Oth | 345 | 345.0 | |||
1-Lake, Mike | Con | 48,285 | 43,355.0 | ✔ | ||
fptp.48022 |
This data can not be used to predict outcomes for individual candidates. | 1-Traxel, Michelle | NDP | 7,116 | 9,329.6 | |
1-Hunter, Daniel | PPC | 5,111 | 6,586.7 | |||
1-Shimp, Paula | Lib | 4,441 | 5,916.7 | |||
1-Wylie, Josh | Oth | 2,289 | 2,289.0 | |||
1-Rogers, Brett | Grn | 802 | 2,031.8 | |||
1-Barlow, John | Con | 44,356 | 32,058.5 | ✔ | ||
fptp.48023 |
This data can not be used to predict outcomes for individual candidates. | 1-McDonald, Shawn | PPC | 5,475 | 6,365.0 | |
1-Robinson, Garnett | NDP | 4,427 | 5,762.0 | |||
1-Abdi, Abdifatah | Lib | 3,060 | 3,950.0 | |||
1-Meyers, Jonathan | Oth | 485 | 485.0 | |||
1-Deheer, Brian | Grn | 429 | 1,170.7 | |||
1-Whitmore, Hughie Shane | Oth | 95 | 95.0 | |||
1-Goodridge, Laila | Con | 28,806 | 21,389.5 | ✔ | ||
fptp.48024 |
This data can not be used to predict outcomes for individual candidates. | 1-Villebrun, Jennifer | NDP | 6,462 | 8,220.4 | |
1-McLean, Shawn | PPC | 5,411 | 6,583.3 | |||
1-Campbell, Dan | Lib | 2,429 | 3,601.3 | |||
1-Ralph, Ambrose | Oth | 2,194 | 2,194.0 | |||
1-Eckstrom, Donovan | Oth | 324 | 324.0 | |||
1-Warkentin, Chris | Con | 36,360 | 26,591.0 | ✔ | ||
fptp.48025 |
This data can not be used to predict outcomes for individual candidates. | 1-McCormack, Ann | PPC | 5,823 | 7,037.0 | |
1-Bissonnette, Des | NDP | 5,705 | 7,526.1 | |||
1-Turvey, John | Lib | 2,616 | 3,830.0 | |||
1-Sirett, Fred | Oth | 1,687 | 1,687.0 | |||
1-Brunner, Kira | Grn | 474 | 1,485.7 | |||
1-Stubbs, Shannon | Con | 36,541 | 26,424.0 | ✔ | ||
fptp.48026 |
This data can not be used to predict outcomes for individual candidates. | 1-Perez, Elaine | NDP | 11,386 | 11,996.5 | |
1-Hargreaves, Devon | Lib | 8,928 | 9,335.0 | |||
1-Hovan, Kimmie | PPC | 4,197 | 4,604.0 | |||
1-Siever, Kim | Ind | 1,176 | 1,176.0 | |||
1-Capp, Geoffrey | CHP | 566 | 566.0 | |||
1-Harder, Rachael | Con | 33,038 | 29,646.5 | ✔ | ||
fptp.48027 |
This data can not be used to predict outcomes for individual candidates. | 1-Stenger, Jocelyn | NDP | 6,787 | 8,129.6 | |
1-Heidinger, Brodie | PPC | 4,495 | 5,390.1 | |||
1-Wilson, Hannah | Lib | 3,496 | 4,391.1 | |||
1-Shoesmith, Geoff | Oth | 1,222 | 1,222.0 | |||
1-Bruised Head, Diandra | Grn | 719 | 1,464.9 | |||
1-Motz, Glen | Con | 31,639 | 24,180.0 | ✔ | ||
fptp.48028 |
This data can not be used to predict outcomes for individual candidates. | 1-Boisson, Darryl | PPC | 6,021 | 6,742.3 | |
1-Ungstad, Gail | NDP | 5,999 | 7,080.9 | |||
1-Krieger, Colin | Oth | 2,587 | 2,587.0 | |||
1-Penny, Leslie | Lib | 2,423 | 3,144.3 | |||
1-MacDougall, Jordan Francis | Grn | 375 | 976.1 | |||
1-Viersen, Arnold | Con | 29,428 | 23,417.5 | ✔ | ||
fptp.48029 |
This data can not be used to predict outcomes for individual candidates. | 1-Grabowski, Marie | NDP | 8,820 | 10,434.7 | |
1-Lorencz, Kelly | PPC | 7,570 | 8,646.5 | |||
1-Adewumi, Olumide | Lib | 4,145 | 5,221.5 | |||
1-Wilcox, Mark | Oth | 1,639 | 1,639.0 | |||
1-Willington, Clayten | Ind | 307 | 307.0 | |||
1-Pilon, Jared | Lbt | 210 | 210.0 | |||
1-Dreeshen, Earl | Con | 40,634 | 31,663.5 | ✔ | ||
fptp.48030 |
This data can not be used to predict outcomes for individual candidates. | 1-Heyden-Kaye, Tanya | NDP | 8,694 | 10,249.9 | |
1-Lim, Megan | PPC | 7,883 | 8,920.3 | |||
1-Ondieki, David | Lib | 3,684 | 4,721.3 | |||
1-Joujan, Harry | Oth | 978 | 978.0 | |||
1-Barnes, Joan | Oth | 574 | 574.0 | |||
1-Watson, Matthew | Lbt | 213 | 213.0 | |||
1-Calkins, Blaine | Con | 39,316 | 30,672.0 | ✔ | ||
fptp.48031 |
This data can not be used to predict outcomes for individual candidates. | 1-Mpulubusi, Kathleen | NDP | 17,816 | 23,229.9 | |
1-Cooper, Michael | Con | 29,652 | 31,170.5 | ✔ | ||
1-Springate, Greg | Lib | 11,187 | 11,187.0 | |||
1-Cecelia, Brigitte | PPC | 3,684 | 3,684.0 | |||
fptp.48032 |
This data can not be used to predict outcomes for individual candidates. | 1-Theroux, Aidan Bradley | NDP | 14,750 | 15,719.7 | |
1-Holm, Tanya | Lib | 8,730 | 9,376.4 | |||
1-Wetterstrand, John | PPC | 5,004 | 5,650.4 | |||
1-Newberry, Todd | Oth | 849 | 849.0 | |||
1-Perris, Sheldon Jonah | Grn | 701 | 1,239.7 | |||
1-Simpson, Charles | Ind | 282 | 282.0 | |||
1-Genuis, Garnett | Con | 41,092 | 35,705.0 | ✔ | ||
fptp.48033 |
This data can not be used to predict outcomes for individual candidates. | 1-Mills, Kendra | NDP | 12,602 | 13,948.0 | |
1-MacKinnon, Murray | PPC | 6,599 | 7,496.4 | |||
1-Walker, Irene | Lib | 4,526 | 5,423.4 | |||
1-Dunham, Jeff | Oth | 1,243 | 1,243.0 | |||
1-Willerton, Jeffrey | CHP | 495 | 495.0 | |||
1-Lloyd, Dane | Con | 40,423 | 32,945.0 | ✔ | ||
fptp.48034 |
This data can not be used to predict outcomes for individual candidates. | 1-Manchen, Michael | PPC | 6,452 | 7,437.4 | |
1-Roy, Guillaume | NDP | 5,977 | 7,455.1 | |||
1-Schumacher, Sheila | Lib | 2,856 | 3,841.4 | |||
1-Muir, Todd | Oth | 1,763 | 1,763.0 | |||
1-Francey, Gordon | Oth | 149 | 149.0 | |||
1-Soroka, Gerald | Con | 33,622 | 25,410.5 | ✔ |
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-Gill, Navreen | Lib | 10,879 | 11,144.4 | |
1-yakandawela, dharmasena | NDP | 7,739 | 8,106.8 | |||
1-Fast, Ed | Con | 21,607 | 22,540.5 | ✔ | ||
1-Sinclair, Kevin | PPC | 3,337 | 3,337.0 | |||
1-Fowler, Stephen | Grn | 1,517 | 1,517.0 | |||
fptp.59002 |
This data can not be used to predict outcomes for individual candidates. | 1-Beech, Terry | Lib | 18,748 | 23,771.5 | ✔ |
1-Hanson, Jim | NDP | 13,815 | 16,422.9 | |||
1-Shein, Kelsey | Con | 12,185 | 12,701.3 | |||
1-Dolling, Peter | Grn | 1,462 | 1,462.0 | |||
1-Nickerson, Brad | PPC | 1,331 | 1,331.0 | |||
fptp.59003 |
This data can not be used to predict outcomes for individual candidates. | 1-Singh, Jagmeet | NDP | 16,382 | 20,310.0 | ✔ |
1-Sami, Brea Huang | Lib | 12,361 | 13,700.9 | |||
1-Lavji, Likky | Con | 9,104 | 9,585.8 | |||
1-Williams, Marcella | PPC | 1,290 | 1,290.0 | |||
1-Curran, Maureen | Grn | 1,185 | 1,185.0 | |||
1-Kendell, Martin | Ind | 296 | 296.0 | |||
fptp.59004 |
This data can not be used to predict outcomes for individual candidates. | 1-McKinnon, Audrey | NDP | 10,323 | 10,392.8 | |
1-Frizzell, Garth | Lib | 8,447 | 8,493.6 | |||
1-Gustafson, Jeremy | PPC | 4,160 | 4,206.6 | |||
1-Hunsinger-Chang, Leigh | Grn | 1,844 | 1,882.8 | |||
1-Thiessen, Henry | CHP | 218 | 218.0 | |||
1-Doherty, Todd | Con | 25,770 | 25,382.0 | ✔ | ||
fptp.59005 |
This data can not be used to predict outcomes for individual candidates. | 1-Eves, Sarah | Lib | 15,305 | 21,041.7 | |
1-Albas, Dan | Con | 29,826 | 32,487.0 | ✔ | ||
1-Phillip, Joan | NDP | 13,462 | 13,840.0 | |||
1-Mcdonald, Kathryn | PPC | 4,661 | 4,661.0 | |||
1-Wauters, Brennan | Grn | 1,718 | 1,718.0 | |||
fptp.59006 |
This data can not be used to predict outcomes for individual candidates. | 1-Pohl, DJ | NDP | 13,927 | 18,546.1 | |
1-Strahl, Mark | Con | 23,987 | 26,086.0 | ✔ | ||
1-Velonis, Kelly | Lib | 8,851 | 9,075.2 | |||
1-Bogunovic, Rob | PPC | 4,004 | 4,004.0 | |||
1-Green, Arthur | Grn | 1,401 | 1,401.0 | |||
fptp.59007 |
This data can not be used to predict outcomes for individual candidates. | 1-Aldag, John | Lib | 20,890 | 26,653.5 | ✔ |
1-Jansen, Tamara | Con | 19,272 | 21,309.8 | |||
1-Jayaprakash, Rajesh | NDP | 10,584 | 10,584.0 | |||
1-Kennedy, Ian | PPC | 2,559 | 2,559.0 | |||
fptp.59008 |
This data can not be used to predict outcomes for individual candidates. | 1-McKinnon, Ron | Lib | 21,638 | 28,094.5 | ✔ |
1-Anastasiadis, Katerina | Con | 17,047 | 19,577.1 | |||
1-Dupont, Laura | NDP | 15,114 | 15,114.0 | |||
1-Brundell, Kimberly | PPC | 2,388 | 2,388.0 | |||
fptp.59009 |
This data can not be used to predict outcomes for individual candidates. | 1-Lee, Mary | Con | 22,197 | 25,355.2 | |
1-Johns, Gord | NDP | 30,604 | 34,651.5 | ✔ | ||
1-Farlinger, Susan | Lib | 9,241 | 9,828.2 | |||
1-Lawson, Susanne | Grn | 3,670 | 3,670.0 | |||
1-Eppich, Robert | PPC | 3,467 | 3,467.0 | |||
1-Biley, Barbara | M-L | 122 | 122.0 | |||
fptp.59010 |
This data can not be used to predict outcomes for individual candidates. | 1-DeLong, Alana | Con | 17,091 | 20,474.8 | |
1-MacGregor, Alistair | NDP | 25,803 | 30,191.5 | ✔ | ||
1-Herbert, Blair | Lib | 9,892 | 10,497.0 | |||
1-Hecht, Mark | PPC | 3,814 | 3,814.0 | |||
1-Versaevel, Lia | Grn | 3,781 | 3,781.0 | |||
fptp.59011 |
This data can not be used to predict outcomes for individual candidates. | 1-Qualtrough, Carla | Lib | 22,105 | 26,152.0 | ✔ |
1-Shearer, Garry | Con | 17,695 | 19,364.2 | |||
1-Dean, Monika | NDP | 9,580 | 9,853.5 | |||
1-Tarasenko, Paul | PPC | 1,291 | 1,291.0 | |||
1-Smith, Jeremy | Grn | 1,243 | 1,243.0 | |||
1-Pan, Hong Yan | Ind | 388 | 388.0 | |||
fptp.59012 |
This data can not be used to predict outcomes for individual candidates. | 1-Hayer, Dave | Con | 13,639 | 15,312.5 | |
1-Hardie, Ken | Lib | 19,868 | 21,986.0 | ✔ | ||
1-Toor, Raji | NDP | 8,260 | 8,441.3 | |||
1-Birring, Amrit | PPC | 1,242 | 1,242.0 | |||
1-DeNure, Perry | Grn | 824 | 824.0 | |||
1-Krishnan, Murali | Ind | 137 | 137.0 | |||
fptp.59013 |
This data can not be used to predict outcomes for individual candidates. | 1-Caputo, Frank | Con | 29,881 | 35,026.5 | ✔ |
1-Sundhu, Bill | NDP | 20,406 | 27,012.1 | |||
1-McCormick, Jesse | Lib | 12,717 | 13,129.2 | |||
1-Delwo, Corally | PPC | 4,033 | 4,033.0 | |||
1-Currie, Iain | Grn | 2,576 | 2,576.0 | |||
1-O'Brien, Bob | Ind | 291 | 438.0 | |||
1-Allan, Wayne | Ind | 147 | 147.0 | |||
fptp.59014 |
This data can not be used to predict outcomes for individual candidates. | 1-Gray, Tracy | Con | 30,409 | 33,542.0 | ✔ |
1-Krupa, Tim | Lib | 17,707 | 22,976.3 | |||
1-Desjarlais, Cade | NDP | 12,204 | 12,660.3 | |||
1-Rogers, Brian | PPC | 4,688 | 4,688.0 | |||
1-Szeman, Imre | Grn | 2,074 | 2,074.0 | |||
fptp.59015 |
This data can not be used to predict outcomes for individual candidates. | 1-Morrison, Rob | Con | 26,845 | 30,619.5 | ✔ |
1-Stetski, Wayne | NDP | 22,179 | 25,408.6 | |||
1-Goldsbury, Robin | Lib | 5,482 | 5,867.8 | |||
1-Bennett, Sarah | PPC | 4,320 | 4,320.0 | |||
1-Nelson, Rana | Grn | 2,411 | 2,411.0 | |||
fptp.59016 |
This data can not be used to predict outcomes for individual candidates. | 1-Van Popta, Tako | Con | 28,644 | 31,329.5 | ✔ |
1-Richter, Kim | Lib | 16,585 | 21,819.5 | |||
1-Chang, Michael | NDP | 12,288 | 12,683.8 | |||
1-Boychuk, Rayna | PPC | 3,341 | 3,341.0 | |||
1-Farstad, Kaija | Grn | 1,799 | 1,799.0 | |||
fptp.59017 |
This data can not be used to predict outcomes for individual candidates. | 1-Vis, Brad | Con | 18,866 | 21,579.0 | ✔ |
1-Grewal, Geet | Lib | 10,597 | 14,466.1 | |||
1-Perrin, Lynn | NDP | 8,729 | 9,145.0 | |||
1-Niles, Tyler | PPC | 3,073 | 3,073.0 | |||
1-Bellay, Nicole | Grn | 1,891 | 1,891.0 | |||
fptp.59018 |
This data can not be used to predict outcomes for individual candidates. | 1-Barron, Lisa Marie | NDP | 18,051 | 29,123.8 | ✔ |
1-Kronis, Tamara | Con | 17,050 | 20,705.1 | |||
1-Manly, Paul | Grn | 15,313 | 15,979.2 | |||
1-Corfield, Michelle | Lib | 8,327 | 8,327.0 | |||
1-Welton, Stephen | PPC | 3,204 | 3,204.0 | |||
fptp.59019 |
This data can not be used to predict outcomes for individual candidates. | 1-Jaffer, Rozina | Lib | 11,685 | 13,911.0 | |
1-Julian, Peter | NDP | 23,954 | 24,613.0 | ✔ | ||
1-Munro, Paige | Con | 9,710 | 10,424.8 | |||
1-Macdonald, David | Grn | 2,035 | 2,035.0 | |||
1-Heide, Kevin | PPC | 1,840 | 1,840.0 | |||
fptp.59020 |
This data can not be used to predict outcomes for individual candidates. | 1-Johnston, Ron | NDP | 13,930 | 21,799.5 | |
1-Arnold, Mel | Con | 33,596 | 36,185.5 | ✔ | ||
1-Desautels, Shelley | Lib | 13,667 | 14,301.7 | |||
1-Delfing, Kyle | PPC | 7,209 | 7,209.0 | |||
1-Gunner, Andrea | Grn | 3,967 | 3,967.0 | |||
fptp.59021 |
This data can not be used to predict outcomes for individual candidates. | 1-Jickling, Les | Con | 16,671 | 19,214.7 | |
1-Wilkinson, Jonathan | Lib | 26,756 | 29,661.0 | ✔ | ||
1-Bentz, Tammy | NDP | 11,750 | 12,321.6 | |||
1-Kaario, Archie | Grn | 2,598 | 2,598.0 | |||
1-Galloway, John | PPC | 1,545 | 1,545.0 | |||
fptp.59022 |
This data can not be used to predict outcomes for individual candidates. | 1-Klapwyk, Phil | NDP | 16,869 | 26,462.5 | ✔ |
1-Dalton, Marc | Con | 19,371 | 22,478.4 | |||
1-Yousef, Ahmed | Lib | 13,179 | 13,179.0 | |||
1-Hoffmann, Juliuss | PPC | 2,890 | 2,890.0 | |||
1-Ranta, Steven William | Ind | 453 | 453.0 | |||
1-Buddle, Peter | Oth | 161 | 161.0 | |||
fptp.59023 |
This data can not be used to predict outcomes for individual candidates. | 1-Zarrillo, Bonita | NDP | 19,367 | 26,044.5 | ✔ |
1-Shin, Nelly | Con | 16,605 | 19,552.9 | |||
1-Davis, Will | Lib | 14,231 | 14,231.0 | |||
1-McPherson, Desta | PPC | 1,762 | 1,762.0 | |||
1-Verrier, Roland | M-L | 122 | 122.0 | |||
fptp.59024 |
This data can not be used to predict outcomes for individual candidates. | 1-Longley, Cory Grizz | NDP | 6,644 | 7,586.1 | |
1-Dyck, Ryan | PPC | 5,138 | 5,766.1 | |||
1-Alavi, Amir | Lib | 4,236 | 4,864.1 | |||
1-Kendall, Catharine | Grn | 1,661 | 2,184.4 | |||
1-Jeffers, David | Oth | 1,581 | 1,581.0 | |||
1-Hewkin, Phil | Oth | 53 | 53.0 | |||
1-Zimmer, Bob | Con | 29,783 | 24,549.0 | ✔ | ||
fptp.59025 |
This data can not be used to predict outcomes for individual candidates. | 1-Miao, Wilson | Lib | 12,701 | 16,180.5 | ✔ |
1-Wong, Alice | Con | 12,039 | 13,066.1 | |||
1-Nixon, Sandra | NDP | 5,849 | 6,082.9 | |||
1-Gillanders, Laura | Grn | 1,063 | 1,063.0 | |||
1-Hinton, James | PPC | 707 | 707.0 | |||
fptp.59026 |
This data can not be used to predict outcomes for individual candidates. | 1-Frost, Laura Anne | Con | 13,099 | 17,141.8 | |
1-Garrison, Randall | NDP | 25,745 | 30,218.0 | ✔ | ||
1-Kobayashi, Doug | Lib | 13,009 | 13,878.8 | |||
1-Gordon, Harley | Grn | 5,436 | 5,436.0 | |||
1-Anderson, Rob | PPC | 2,919 | 2,919.0 | |||
1-Strandlund, Tyson Riel | Com | 226 | 226.0 | |||
fptp.59027 |
This data can not be used to predict outcomes for individual candidates. | 1-May, Elizabeth | Grn | 24,558 | 30,997.0 | ✔ |
1-Singh, Sabina | NDP | 12,064 | 20,743.1 | |||
1-Busch, David | Con | 14,775 | 17,407.4 | |||
1-Moore-Arbour, Sherri | Lib | 12,056 | 12,056.0 | |||
1-Hilderman, David | PPC | 1,943 | 1,943.0 | |||
1-Currie, Dock | Com | 141 | 141.0 | |||
fptp.59028 |
This data can not be used to predict outcomes for individual candidates. | 1-Bachrach, Taylor | NDP | 15,100 | 17,840.0 | ✔ |
1-Rattee, Claire | Con | 12,885 | 14,342.8 | |||
1-Jhaj, Lakhwinder | Lib | 2,790 | 3,006.8 | |||
1-Craven, Jody | PPC | 2,794 | 2,794.0 | |||
1-Young, Adeana | Grn | 1,355 | 1,355.0 | |||
1-Taylor, Rod | CHP | 754 | 754.0 | |||
fptp.59029 |
This data can not be used to predict outcomes for individual candidates. | 1-Cannings, Richard | NDP | 27,372 | 33,155.0 | ✔ |
1-Konanz, Helena | Con | 23,473 | 26,578.5 | |||
1-Robertson, Ken | Lib | 8,129 | 8,524.5 | |||
1-Taylor, Sean | PPC | 4,862 | 4,862.0 | |||
1-Howse, Tara | Grn | 2,472 | 2,472.0 | |||
fptp.59030 |
This data can not be used to predict outcomes for individual candidates. | 1-Findlay, Kerry-Lynne | Con | 24,176 | 28,485.0 | ✔ |
1-Hogg, Gordie | Lib | 22,164 | 25,454.8 | |||
1-Liu, June | NDP | 8,438 | 8,438.0 | |||
1-Jensen, Gary | PPC | 2,190 | 2,190.0 | |||
fptp.59031 |
This data can not be used to predict outcomes for individual candidates. | 1-Chiu, Kenny | Con | 13,065 | 14,382.1 | |
1-Bains, Parm | Lib | 16,542 | 19,473.0 | ✔ | ||
1-Trovato, Jack | NDP | 7,523 | 7,712.0 | |||
1-Singh, Jennifer | PPC | 955 | 955.0 | |||
1-Raunet, Françoise | Grn | 859 | 859.0 | |||
fptp.59032 |
This data can not be used to predict outcomes for individual candidates. | 1-Sarai, Randeep | Lib | 16,862 | 19,185.0 | ✔ |
1-Andhi, Sonia | NDP | 10,628 | 12,361.0 | |||
1-Bains, Tina | Con | 8,075 | 8,603.7 | |||
1-Kennedy, Joe | PPC | 1,539 | 1,539.0 | |||
1-Kongyuy, Felix | Grn | 838 | 838.0 | |||
1-Pielak, Kevin | CHP | 289 | 289.0 | |||
1-Abbott, Ryan | Com | 137 | 137.0 | |||
fptp.59033 |
This data can not be used to predict outcomes for individual candidates. | 1-Johal, Avneet | NDP | 9,536 | 10,186.9 | |
1-Mohsin, Syed | Con | 5,758 | 5,998.6 | |||
1-Singh, Pamela | PPC | 967 | 995.3 | |||
1-Hundal, Parveer | Ind | 628 | 628.0 | |||
1-Dhaliwal, Sukh | Lib | 19,721 | 18,306.0 | ✔ | ||
fptp.59034 |
This data can not be used to predict outcomes for individual candidates. | 1-Fry, Hedy | Lib | 20,916 | 26,058.0 | ✔ |
1-Ouellette, Breen | NDP | 15,911 | 18,556.8 | |||
1-Cockell, Harry | Con | 11,473 | 12,160.3 | |||
1-Paivarinta, Alaric | Grn | 2,077 | 2,077.0 | |||
1-Singleton-Fookes, Taylor | PPC | 1,737 | 1,737.0 | |||
fptp.59035 |
This data can not be used to predict outcomes for individual candidates. | 1-Vander Vies, Josh | Lib | 9,807 | 11,033.2 | |
1-Francis, Mauro | Con | 5,389 | 5,766.3 | |||
1-Matthew, Cheryl | Grn | 3,813 | 4,378.9 | |||
1-Litzcke, Karin | PPC | 1,382 | 1,476.3 | |||
1-Buday, Gölök | Lbt | 831 | 831.0 | |||
1-Hale, Natasha | Com | 387 | 387.0 | |||
1-Kwan, Jenny | NDP | 27,899 | 24,755.0 | ✔ | ||
fptp.59036 |
This data can not be used to predict outcomes for individual candidates. | 1-Appadurai, Anjali | NDP | 16,619 | 24,788.5 | ✔ |
1-Noormohamed, Taleeb | Lib | 17,055 | 18,935.4 | |||
1-Che, Kailin | Con | 13,290 | 13,757.8 | |||
1-Popat, Imtiaz | Grn | 1,434 | 1,434.0 | |||
1-Jewett, Damian | PPC | 1,177 | 1,177.0 | |||
fptp.59037 |
This data can not be used to predict outcomes for individual candidates. | 1-Blaney, Rachel | NDP | 22,559 | 28,729.0 | ✔ |
1-Downey, Shelley | Con | 20,779 | 23,239.6 | |||
1-Grenz, Jennifer | Lib | 7,540 | 8,097.1 | |||
1-Wegg, Jessica | Grn | 3,482 | 3,482.0 | |||
1-Macknight, Paul | PPC | 2,685 | 2,685.0 | |||
1-Gastis, Stacey | Oth | 322 | 322.0 | |||
1-Neal, Carla | M-L | 89 | 89.0 | |||
fptp.59038 |
This data can not be used to predict outcomes for individual candidates. | 1-Bremner, Virginia | Lib | 10,852 | 11,199.1 | |
1-Binda, Carson | Con | 5,368 | 5,474.8 | |||
1-Chishtie, Farrukh | Grn | 1,560 | 1,720.2 | |||
1-MacKenzie, Jeremy | PPC | 860 | 886.7 | |||
1-Cariou, Kimball | Com | 172 | 172.0 | |||
1-Petersen, Donna | M-L | 65 | 65.0 | |||
1-Davies, Don | NDP | 20,659 | 19,769.0 | ✔ | ||
fptp.59039 |
This data can not be used to predict outcomes for individual candidates. | 1-Armstrong, Brad | Con | 13,786 | 15,708.9 | |
1-Murray, Joyce | Lib | 20,814 | 23,853.5 | ✔ | ||
1-Abenes, Naden | NDP | 9,220 | 9,862.8 | |||
1-Singh, Devyani | Grn | 2,922 | 2,922.0 | |||
1-Siekmann, Renate | PPC | 963 | 963.0 | |||
fptp.59040 |
This data can not be used to predict outcomes for individual candidates. | 1-McQuillan, Sean | NDP | 9,923 | 12,019.6 | |
1-Sajjan, Harjit S. | Lib | 19,889 | 20,117.5 | ✔ | ||
1-Gill, Sukhbir Singh | Con | 9,030 | 9,361.2 | |||
1-Cook, Anthony | PPC | 1,104 | 1,104.0 | |||
1-Jamieson, Anne | M-L | 287 | 287.0 | |||
fptp.59041 |
This data can not be used to predict outcomes for individual candidates. | 1-Collins, Laurel | NDP | 27,335 | 31,030.0 | ✔ |
1-Macdonald, Nikki | Lib | 16,537 | 18,836.4 | |||
1-Hodson, Hannah | Con | 8,670 | 9,829.6 | |||
1-Loughton, Nick | Grn | 6,999 | 6,999.0 | |||
1-Phipps, John Randal | PPC | 1,999 | 1,999.0 | |||
1-Zroback, Janis | Com | 268 | 268.0 | |||
1-Reichert, Jordan | Oth | 250 | 250.0 | |||
fptp.59042 |
This data can not be used to predict outcomes for individual candidates. | 1-Weiler, Patrick | Lib | 21,470 | 31,480.3 | ✔ |
1-Weston, John | Con | 19,062 | 22,142.9 | |||
1-Lewis, Avi | NDP | 16,262 | 17,166.9 | |||
1-Simpson, Mike | Grn | 4,113 | 4,113.0 | |||
1-Bebb, Doug | PPC | 2,306 | 2,306.0 | |||
1-MacGregor, Chris | Ind | 77 | 127.0 | |||
1-Jeffrey, Gordon | Oth | 98 | 98.0 | |||
1-Grimwood, Terry | Ind | 50 | 50.0 |
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-Hodgins, Whitney | NDP | 7,840 | 8,497.2 | |
1-Branconnier, Linda | Lib | 4,608 | 5,046.1 | |||
1-Baer, Tylor | PPC | 2,981 | 3,419.1 | |||
1-Maguire, Larry | Con | 22,733 | 19,082.0 | ✔ | ||
fptp.46002 |
This data can not be used to predict outcomes for individual candidates. | 1-Eyolfson, Doug | Lib | 17,312 | 22,164.5 | ✔ |
1-Morantz, Marty | Con | 17,336 | 18,767.9 | |||
1-Dwyer, Madelaine | NDP | 7,171 | 7,376.7 | |||
1-Van Hussen, Angela | PPC | 1,573 | 1,573.0 | |||
1-Parks, Vanessa | Grn | 935 | 935.0 | |||
fptp.46003 |
This data can not be used to predict outcomes for individual candidates. | 1-Larocque, Charlotte | Con | 4,330 | 5,535.5 | |
1-Ashton, Niki | NDP | 7,639 | 8,968.0 | ✔ | ||
1-Robinson, Shirley | Lib | 4,513 | 4,601.3 | |||
1-Young, Dylan | PPC | 900 | 900.0 | |||
1-McLean, Ralph | Grn | 552 | 552.0 | |||
fptp.46004 |
This data can not be used to predict outcomes for individual candidates. | 1-Holroyd, Arthur | NDP | 5,688 | 6,311.5 | |
1-Carlson, Kevin | Lib | 4,797 | 5,212.7 | |||
1-McKenna, Donnan | PPC | 4,050 | 4,465.7 | |||
1-Lambrecht, Shirley | Grn | 845 | 1,191.4 | |||
1-Falloon-Austin, Lori | Oth | 407 | 407.0 | |||
1-Mazier, Dan | Con | 22,717 | 19,253.0 | ✔ | ||
fptp.46005 |
This data can not be used to predict outcomes for individual candidates. | 1-Caron, Rejeanne | Con | 11,768 | 11,824.4 | |
1-Mirwaldt, Sara | Lib | 6,169 | 6,284.7 | |||
1-Cumming, Jamie | PPC | 2,435 | 2,435.6 | |||
1-Blaikie, Daniel | NDP | 20,791 | 20,920.5 | ✔ | ||
1-Hinchey, Devlin | Grn | 676 | 676.0 | |||
fptp.46006 |
This data can not be used to predict outcomes for individual candidates. | 1-Dancho, Raquel | Con | 18,375 | 21,977.5 | ✔ |
1-Bennett, Mary-Jane | Lib | 12,944 | 16,964.5 | |||
1-Clark, Emily | NDP | 10,309 | 10,309.0 | |||
1-Howe, Sean | PPC | 2,325 | 2,325.0 | |||
fptp.46007 |
This data can not be used to predict outcomes for individual candidates. | 1-Wiebe, Solomon | PPC | 9,790 | 9,925.2 | |
1-Friesen, Ken | NDP | 6,094 | 6,296.9 | |||
1-Carrier, Andrew | Lib | 4,967 | 5,102.2 | |||
1-Dondo, Jerome | CHP | 712 | 712.0 | |||
1-Bergen, Candice | Con | 23,819 | 22,692.0 | ✔ | ||
fptp.46008 |
This data can not be used to predict outcomes for individual candidates. | 1-Kirczenow, Trevor | Lib | 8,472 | 11,261.1 | |
1-Gautron, Nöel | PPC | 8,168 | 8,395.7 | |||
1-Falk, Ted | Con | 24,294 | 24,922.0 | ✔ | ||
1-Pottinger, Serina | NDP | 6,270 | 6,549.8 | |||
1-Loewen, Rick | Ind | 1,366 | 1,366.0 | |||
1-Gibson, Janine G. | Grn | 1,272 | 1,272.0 | |||
fptp.46009 |
This data can not be used to predict outcomes for individual candidates. | 1-Agboola, Shola | Con | 13,091 | 15,099.2 | |
1-Vandal, Dan | Lib | 19,696 | 22,903.5 | ✔ | ||
1-Waters, Meghan | NDP | 10,001 | 10,145.8 | |||
1-MacDiarmid, Jane | PPC | 1,976 | 1,976.0 | |||
1-Poliquin, Laurent | Grn | 658 | 658.0 | |||
1-Anderson, Scott A A | Ind | 57 | 287.0 | |||
1-Hildebrandt, Kerri | Ind | 33 | 131.5 | |||
1-CoRhino, Sébastien | Oth | 80 | 96.0 | |||
1-Crisostomo, Naomi | Ind | 27 | 83.7 | |||
1-Currie, Charles | Ind | 24 | 60.5 | |||
1-Boudreault, Jean-Denis | Ind | 21 | 46.0 | |||
1-Strzalkowski, Patrick | Ind | 19 | 36.7 | |||
1-Berthiaume, Denis | Ind | 19 | 31.4 | |||
1-Szuchewycz, Tomas | Ind | 15 | 24.0 | |||
1-Huard, Ryan | Ind | 14 | 20.4 | |||
1-Rosenblum, Eliana | Ind | 13 | 17.5 | |||
1-Correia, Matthew | Oth | 16 | 16.0 | |||
1-Falkingham, Scott | Ind | 13 | 15.9 | |||
1-Engering, Alexandra | Ind | 13 | 14.6 | |||
1-Desbiens, Manon Lili | Ind | 12 | 12.5 | |||
1-Lukawski, Conrad | Ind | 7 | 7.0 | |||
fptp.46010 |
This data can not be used to predict outcomes for individual candidates. | 1-Smith, Margaret | NDP | 9,603 | 10,233.7 | |
1-Regelsky, Detlev | Lib | 6,563 | 6,983.5 | |||
1-Kathwaroon, Ian | PPC | 3,807 | 4,227.5 | |||
1-James, Wayne | Grn | 1,328 | 1,678.4 | |||
1-Bezan, James | Con | 28,311 | 24,807.0 | ✔ | ||
fptp.46011 |
This data can not be used to predict outcomes for individual candidates. | 1-Ong, Paul | Lib | 8,446 | 8,614.6 | |
1-Brenot, Sabrina | Con | 3,818 | 3,891.8 | |||
1-Bhakoo, Bhavni | PPC | 1,229 | 1,233.2 | |||
1-Gazan, Leah | NDP | 14,761 | 14,778.0 | ✔ | ||
1-Brown, Andrew | Grn | 713 | 713.0 | |||
1-Buhler, Jamie | Lbt | 373 | 373.0 | |||
1-Wall, Debra | Oth | 214 | 214.0 | |||
fptp.46012 |
This data can not be used to predict outcomes for individual candidates. | 1-Chung-Mowat, Melissa | NDP | 8,998 | 9,307.4 | |
1-Kassem, Anas | Con | 4,098 | 4,212.3 | |||
1-Neilan, Patrick | PPC | 1,395 | 1,408.5 | |||
1-Brydges, Angela | Grn | 428 | 481.8 | |||
1-Crooks, Robert | Com | 109 | 109.0 | |||
1-Lamoureux, Kevin | Lib | 16,375 | 15,702.5 | ✔ | ||
fptp.46013 |
This data can not be used to predict outcomes for individual candidates. | 1-Maher, Melanie | Con | 15,912 | 17,525.6 | |
1-Duguid, Terry | Lib | 22,422 | 23,619.5 | ✔ | ||
1-Kahanovitch, Aiden | NDP | 6,601 | 6,750.6 | |||
1-Gryba, Byron Curtis | PPC | 1,622 | 1,622.0 | |||
1-Boettcher, Greg | Grn | 680 | 680.0 | |||
fptp.46014 |
This data can not be used to predict outcomes for individual candidates. | 1-Bateman, Joyce | Con | 13,566 | 15,681.6 | |
1-Carr, Jim | Lib | 22,214 | 24,431.5 | ✔ | ||
1-Riddell, Julia | NDP | 10,064 | 10,378.8 | |||
1-Hemmerling, Douglas | Grn | 1,431 | 1,431.0 | |||
1-Wells, Chase | PPC | 1,352 | 1,352.0 | |||
1-Scott, Cam | Com | 234 | 234.0 |
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-Lanteigne, Jean-Paul | Con | 5,916 | 6,997.2 | |
1-Hébert, Mélissa | NDP | 4,900 | 7,825.6 | |||
1-Langford, Kenneth Edward | PPC | 2,541 | 2,668.2 | |||
1-Johns, Rachel | Grn | 1,203 | 1,711.8 | |||
1-Doiron, Richer | Oth | 549 | 549.0 | |||
1-Cormier, Serge | Lib | 27,831 | 21,471.0 | ✔ | ||
fptp.13002 |
This data can not be used to predict outcomes for individual candidates. | 1-Mitchell, Shelly | Con | 9,535 | 9,992.8 | |
1-Godfrey, Evelyne | NDP | 5,479 | 6,717.8 | |||
1-Minor, Jack | PPC | 3,723 | 3,776.9 | |||
1-Girouard, Stella Anna | Grn | 2,797 | 3,012.4 | |||
1-Sauriol Chiasson, Isabelle | Oth | 391 | 391.0 | |||
1-LeBlanc, Dominic | Lib | 27,313 | 24,620.0 | ✔ | ||
fptp.13003 |
This data can not be used to predict outcomes for individual candidates. | 1-Atwin, Jenica | Lib | 16,316 | 21,594.6 | ✔ |
1-Johnson, Andrea | Con | 15,814 | 17,015.1 | |||
1-O'Byrne, Nicole | Grn | 5,666 | 6,667.5 | |||
1-Oldenburg, Shawn | NDP | 5,564 | 5,564.0 | |||
1-Smith, Jen | Ind | 310 | 310.0 | |||
1-Kirby, Brandon | Lbt | 234 | 234.0 | |||
1-Patterson, June | Com | 158 | 158.0 | |||
fptp.13004 |
This data can not be used to predict outcomes for individual candidates. | 1-Dykeman, Whitney | Lib | 11,172 | 11,579.2 | |
1-Floyd, Josh | NDP | 6,295 | 6,861.1 | |||
1-Moore, Rob | Con | 21,561 | 22,370.0 | ✔ | ||
1-Wheeler, Wayne | PPC | 3,474 | 3,474.0 | |||
1-Thompson, Tim | Grn | 2,236 | 2,236.0 | |||
fptp.13005 |
This data can not be used to predict outcomes for individual candidates. | 1-Beaulieu, Shawn | Con | 7,857 | 8,127.6 | |
1-Mercier, Nancy | PPC | 1,889 | 1,920.8 | |||
1-MacDonald, Elizabeth | NDP | 1,859 | 2,591.3 | |||
1-Berube, Louis | Oth | 1,277 | 1,277.0 | |||
1-Blaevoet, Rebecca | Grn | 786 | 913.4 | |||
1-Arseneault, René | Lib | 16,854 | 15,262.0 | ✔ | ||
fptp.13006 |
This data can not be used to predict outcomes for individual candidates. | 1-Stewart, Jake | Con | 14,221 | 16,253.5 | ✔ |
1-Harris, Lisa | Lib | 12,762 | 13,999.1 | |||
1-Potter, Bruce | NDP | 2,294 | 2,600.5 | |||
1-Nowlan, Ron | PPC | 1,835 | 1,835.0 | |||
1-Deitch, Patty | Grn | 1,393 | 1,393.0 | |||
fptp.13007 |
This data can not be used to predict outcomes for individual candidates. | 1-Smith, Darlene | Con | 10,727 | 13,255.0 | |
1-Petitpas Taylor, Ginette | Lib | 22,179 | 22,921.0 | ✔ | ||
1-Landry, Serge | NDP | 7,804 | 8,294.8 | |||
1-Carrier, Lorilee | PPC | 2,899 | 2,899.0 | |||
1-Dunn, Richard | Grn | 2,231 | 2,231.0 | |||
fptp.13008 |
This data can not be used to predict outcomes for individual candidates. | 1-Hickey, Jason | Lib | 8,797 | 9,063.4 | |
1-Warren, Richard Trevor | NDP | 4,892 | 5,259.9 | |||
1-Sarty, Meryl | PPC | 3,080 | 3,092.4 | |||
1-Williamson, John | Con | 18,311 | 18,335.0 | ✔ | ||
1-Reist, John | Grn | 1,588 | 1,588.0 | |||
fptp.13009 |
This data can not be used to predict outcomes for individual candidates. | 1-Norton, Mel | Con | 12,315 | 13,723.1 | |
1-Long, Wayne | Lib | 17,371 | 18,729.0 | ✔ | ||
1-Paulin, Don | NDP | 4,821 | 5,029.6 | |||
1-Pereira, Nicholas | PPC | 2,001 | 2,001.0 | |||
1-McAllister, Ann | Grn | 948 | 948.0 | |||
fptp.13010 |
This data can not be used to predict outcomes for individual candidates. | 1-Robinson, Cully | Lib | 8,222 | 8,262.4 | |
1-Miller, Meriet Gray | NDP | 3,656 | 3,716.7 | |||
1-Waggoner, Daniel Joseph | PPC | 2,928 | 2,968.4 | |||
1-Martin, Anthony | Grn | 1,657 | 1,690.7 | |||
1-LaForest, Steven J | Ind | 398 | 398.0 | |||
1-Bragdon, Richard | Con | 17,537 | 17,200.0 | ✔ |
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-Chapman, Matthew | Con | 12,801 | 12,801.9 | |
1-Davis, Carolyn | NDP | 5,162 | 5,164.5 | |||
1-Stewart, Lainie | PPC | 647 | 647.1 | |||
1-McDonald, Ken | Lib | 18,623 | 18,617.5 | ✔ | ||
fptp.10002 |
This data can not be used to predict outcomes for individual candidates. | 1-Rogers, Churence | Lib | 13,972 | 14,982.0 | ✔ |
1-Vokey, Sharon | Con | 12,249 | 12,924.2 | |||
1-Anonsen, Anne Marie | NDP | 2,484 | 2,484.0 | |||
1-Hogan, Linda | PPC | 1,257 | 1,257.0 | |||
fptp.10003 |
This data can not be used to predict outcomes for individual candidates. | 1-Small, Clifford | Con | 14,177 | 14,972.0 | ✔ |
1-Simms, Scott | Lib | 13,579 | 14,431.5 | |||
1-Ruby, Jamie | NDP | 2,186 | 2,186.0 | |||
fptp.10004 |
This data can not be used to predict outcomes for individual candidates. | 1-Dumaresque, Shane | Con | 2,754 | 3,127.6 | |
1-Jones, Yvonne | Lib | 3,797 | 4,519.5 | ✔ | ||
1-Norman, Amy | NDP | 2,193 | 2,193.0 | |||
1-Champion, Shannon | PPC | 293 | 293.0 | |||
fptp.10005 |
This data can not be used to predict outcomes for individual candidates. | 1-Hutchings, Gudie | Lib | 16,276 | 18,355.0 | ✔ |
1-Anstey, Carol | Con | 14,459 | 15,461.2 | |||
1-Mintz, Kaila | NDP | 4,387 | 4,387.0 | |||
1-Shelley, Darrell | PPC | 1,586 | 1,586.0 | |||
fptp.10006 |
This data can not be used to predict outcomes for individual candidates. | 1-Thompson, Joanne | Lib | 17,239 | 19,112.0 | ✔ |
1-Shortall, Mary | NDP | 13,015 | 14,358.1 | |||
1-Etchegary, Glenn | Con | 7,245 | 7,461.9 | |||
1-Metcalfe, Dana | PPC | 723 | 723.0 | |||
fptp.10007 |
This data can not be used to predict outcomes for individual candidates. | 1-Critch, Ray | NDP | 8,123 | 9,109.0 | |
1-Hodder, Steve | Con | 6,528 | 6,892.4 | |||
1-Stewart, Georgia Faith | PPC | 636 | 678.9 | |||
1-O'Regan, Seamus | Lib | 19,576 | 17,432.5 | ✔ |
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-MacLeod, Fiona | Con | 13,133 | 14,379.3 | |
1-Kelloway, Mike | Lib | 17,348 | 18,733.5 | ✔ | ||
1-Reddick, Jana | NDP | 5,395 | 5,395.0 | |||
1-Grandy, Brad | PPC | 1,589 | 1,589.0 | |||
fptp.12002 |
This data can not be used to predict outcomes for individual candidates. | 1-Cotter, Steven | Con | 13,044 | 14,444.5 | |
1-Fraser, Sean | Lib | 18,656 | 20,215.0 | ✔ | ||
1-MacDonald, Betsy | NDP | 6,230 | 6,337.4 | |||
1-Muir, Al | PPC | 1,442 | 1,442.0 | |||
1-Nikas, Katerina | Grn | 488 | 488.0 | |||
1-Henderson, Harvey | Ind | 365 | 365.0 | |||
1-Frazer, Chris | Com | 137 | 137.0 | |||
1-Smyth, Ryan | Oth | 66 | 66.0 | |||
fptp.12003 |
This data can not be used to predict outcomes for individual candidates. | 1-Ellis, Stephen | Con | 18,646 | 20,206.0 | ✔ |
1-Zann, Lenore | Lib | 13,839 | 16,020.2 | |||
1-Osborne, Daniel | NDP | 4,931 | 5,162.0 | |||
1-Archer, Bill | PPC | 1,671 | 1,671.0 | |||
1-Foster, Jillian | Grn | 1,050 | 1,050.0 | |||
1-O'Blenis, Jody | Ind | 273 | 273.0 | |||
fptp.12004 |
This data can not be used to predict outcomes for individual candidates. | 1-Payne, Kevin | NDP | 15,474 | 16,070.2 | |
1-Lindsay, Michelle | PPC | 4,865 | 4,890.9 | |||
1-Zaman, Rana | Grn | 1,562 | 1,665.7 | |||
1-Fisher, Darren | Lib | 24,495 | 23,199.0 | ✔ | ||
fptp.12005 |
This data can not be used to predict outcomes for individual candidates. | 1-Fillmore, Andy | Lib | 22,274 | 26,131.0 | ✔ |
1-Roberts, Lisa | NDP | 20,735 | 22,291.0 | |||
1-Ells, Cameron | Con | 6,802 | 7,220.4 | |||
1-Roberts, Jo-Ann | Grn | 1,165 | 1,165.0 | |||
1-Hébert, B. Alexander | PPC | 1,084 | 1,084.0 | |||
1-Campbell, Katie | Com | 200 | 200.0 | |||
fptp.12006 |
This data can not be used to predict outcomes for individual candidates. | 1-Roberts, Jonathan Keith | NDP | 12,326 | 15,075.3 | |
1-Diab, Lena Metlege | Lib | 24,700 | 25,468.0 | ✔ | ||
1-Humphries, Eleanor | Con | 11,206 | 11,727.0 | |||
1-Scott, Julie | PPC | 1,424 | 1,424.0 | |||
1-Zurawski, Richard | Grn | 1,173 | 1,173.0 | |||
1-Schulthies, Kevin | CHP | 105 | 105.0 | |||
fptp.12007 |
This data can not be used to predict outcomes for individual candidates. | 1-Parent, Mark | Con | 13,234 | 15,178.3 | |
1-Blois, Kody | Lib | 20,189 | 22,477.5 | ✔ | ||
1-Schneider, Stephen | NDP | 8,645 | 8,851.8 | |||
1-Ford, Steven | PPC | 1,945 | 1,945.0 | |||
1-Richardson, Sheila G. | Grn | 940 | 940.0 | |||
fptp.12008 |
This data can not be used to predict outcomes for individual candidates. | 1-Conrad, Angela | Con | 12,044 | 14,278.9 | |
1-Samson, Darrell | Lib | 18,839 | 22,802.5 | ✔ | ||
1-Chisholm, Jenna | NDP | 12,011 | 12,216.3 | |||
1-Gosse, Earl | PPC | 1,776 | 1,776.0 | |||
1-Edmonds, Anthony | Grn | 933 | 933.0 | |||
fptp.12009 |
This data can not be used to predict outcomes for individual candidates. | 1-Jordan, Bernadette | Lib | 18,527 | 24,974.5 | ✔ |
1-Perkins, Rick | Con | 20,444 | 21,741.6 | |||
1-Dorey, Olivia | NDP | 9,541 | 9,856.7 | |||
1-Trappenberg, Thomas | Grn | 1,435 | 1,435.0 | |||
fptp.12010 |
This data can not be used to predict outcomes for individual candidates. | 1-Battiste, Jaime | Lib | 14,198 | 18,116.5 | ✔ |
1-Orrell, Eddie | Con | 13,107 | 14,371.7 | |||
1-Ward, Jeff | NDP | 7,159 | 7,256.5 | |||
1-Barron, Ronald Angus | PPC | 1,195 | 1,195.0 | |||
1-Embrett, Mark | Grn | 443 | 443.0 | |||
1-Boisvert, Nikki | M-L | 129 | 129.0 | |||
fptp.12011 |
This data can not be used to predict outcomes for individual candidates. | 1-Chamberlain, Alxys | Lib | 13,747 | 13,760.2 | |
1-Burbidge, Cheryl | NDP | 5,645 | 5,664.8 | |||
1-Spidle, Scott | PPC | 2,490 | 2,503.2 | |||
1-d'Entremont, Chris | Con | 22,104 | 21,994.0 | ✔ |
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 | 5,387 | 7,062.0 | ✔ |
1-Kotchilea, Kelvin | NDP | 4,558 | 5,006.8 | |||
1-Mollison, Lea Anne | Con | 2,031 | 2,059.4 | |||
1-Groenewegen, Jane | Ind | 1,791 | 1,791.0 | |||
1-Laufer, Roland | Grn | 355 | 355.0 |
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-Angnakak, Pat | Lib | 2,588 | 2,756.4 | |
1-Idlout, Lori | NDP | 3,483 | 3,639.0 | ✔ | ||
1-Mackenzie, Laura | Con | 1,205 | 1,205.0 |
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-Awan, Arshad | Con | 13,206 | 13,790.1 | |
1-Hughes, Monique | NDP | 6,960 | 8,540.6 | |||
1-Paulseth, Leigh | Grn | 1,254 | 1,528.9 | |||
1-Holland, Mark | Lib | 28,294 | 24,858.0 | ✔ | ||
fptp.35002 |
This data can not be used to predict outcomes for individual candidates. | 1-Sagman, John | Con | 10,902 | 13,297.9 | |
1-Hughes, Carol | NDP | 15,306 | 19,270.5 | ✔ | ||
1-Peltier, Duke | Lib | 8,501 | 8,613.5 | |||
1-Jaaskelainen, Harry | PPC | 2,857 | 2,857.0 | |||
1-Zimmermann, Stephen | Grn | 703 | 703.0 | |||
1-Baarda, Clarence | CHP | 270 | 270.0 | |||
fptp.35003 |
This data can not be used to predict outcomes for individual candidates. | 1-Taylor Roy, Leah | Lib | 20,764 | 22,954.0 | ✔ |
1-Alleslev, Leona | Con | 19,314 | 20,265.5 | |||
1-Hagan, Janice | NDP | 3,594 | 3,594.0 | |||
1-Siskos, Anthony | PPC | 1,734 | 1,734.0 | |||
1-Korovitsyn, Serge | Lbt | 500 | 500.0 | |||
fptp.35004 |
This data can not be used to predict outcomes for individual candidates. | 1-Wilson, Lisa-Marie | Lib | 15,279 | 18,652.4 | |
1-Brassard, John | Con | 25,234 | 26,459.5 | ✔ | ||
1-Gostkowski, Aleesha | NDP | 8,344 | 8,344.0 | |||
1-Brancato, Corrado | PPC | 4,060 | 4,060.0 | |||
fptp.35005 |
This data can not be used to predict outcomes for individual candidates. | 1-Shipley, Doug | Con | 23,554 | 26,121.5 | ✔ |
1-Saari, Tanya | Lib | 16,145 | 19,621.1 | |||
1-Lochhead, Sarah | NDP | 8,913 | 8,913.0 | |||
1-Webb, Chris | PPC | 3,629 | 3,629.0 | |||
fptp.35006 |
This data can not be used to predict outcomes for individual candidates. | 1-Williams, Ryan | Con | 25,529 | 30,844.5 | ✔ |
1-Ellis, Neil | Lib | 22,542 | 26,464.8 | |||
1-Bell, Stephanie | NDP | 9,185 | 9,489.9 | |||
1-LeClerc, Janine | PPC | 3,045 | 3,045.0 | |||
1-Charlton, Erica | Grn | 1,386 | 1,386.0 | |||
fptp.35007 |
This data can not be used to predict outcomes for individual candidates. | 1-Ruiz Vargas, Alejandra | NDP | 11,420 | 12,953.6 | |
1-Robinson, Lisa | Con | 7,292 | 7,858.8 | |||
1-Rautescu, Radu | PPC | 1,601 | 1,667.7 | |||
1-DeBoer, Reuben Anthony | Grn | 1,376 | 1,642.7 | |||
1-Wilde, Karen Lee | Ind | 166 | 166.0 | |||
1-Moxon, Jennifer | Com | 131 | 131.0 | |||
1-Fernandez, Philip | M-L | 50 | 50.0 | |||
1-Erskine-Smith, Nathaniel | Lib | 28,706 | 25,372.0 | ✔ | ||
fptp.35008 |
This data can not be used to predict outcomes for individual candidates. | 1-Singh, Jagdeep | Con | 11,038 | 12,003.9 | |
1-Ali, Shafqat | Lib | 16,184 | 16,968.0 | ✔ | ||
1-McDowell, Jim | NDP | 5,900 | 5,900.0 | |||
1-Shino, Ronni | Ind | 812 | 812.0 | |||
fptp.35009 |
This data can not be used to predict outcomes for individual candidates. | 1-Bajaj, Naval | Con | 11,669 | 11,911.4 | |
1-Bannister-Clarke, Gail | NDP | 6,576 | 7,232.0 | |||
1-Singh, Manjeet | PPC | 1,088 | 1,116.5 | |||
1-Sidhu, Maninder | Lib | 22,187 | 20,761.0 | ✔ | ||
fptp.35010 |
This data can not be used to predict outcomes for individual candidates. | 1-Joshi, Medha | Con | 13,267 | 13,551.6 | |
1-Yeh, Teresa | NDP | 6,386 | 7,156.0 | |||
1-Sahota, Ruby | Lib | 23,003 | 21,329.0 | ✔ | ||
fptp.35011 |
This data can not be used to predict outcomes for individual candidates. | 1-Brar, Ramandeep | Con | 12,599 | 12,667.2 | |
1-Singh, Tejinder | NDP | 5,894 | 6,078.5 | |||
1-Craniotis, Nicholas | PPC | 1,818 | 1,826.0 | |||
1-Sidhu, Sonia | Lib | 21,115 | 20,714.0 | ✔ | ||
fptp.35012 |
This data can not be used to predict outcomes for individual candidates. | 1-Chambers, Jermaine | Con | 13,168 | 13,585.8 | |
1-Gill, Gurprit | NDP | 6,105 | 7,235.5 | |||
1-Zia, Rahul Samuel | PPC | 1,213 | 1,262.2 | |||
1-Ramasamy, Sivakumar | Ind | 329 | 329.0 | |||
1-Khera, Kamal | Lib | 25,732 | 23,274.5 | ✔ | ||
fptp.35013 |
This data can not be used to predict outcomes for individual candidates. | 1-Brock, Larry | Con | 26,668 | 33,049.0 | ✔ |
1-Macdonald, Alison | Lib | 18,784 | 24,267.1 | |||
1-Roberts, Adrienne | NDP | 12,950 | 13,337.2 | |||
1-Squire, Cole | PPC | 5,634 | 5,634.0 | |||
1-Csordas, Karleigh | Grn | 1,760 | 1,760.0 | |||
1-Bory, Leslie | Ind | 162 | 300.0 | |||
1-Turmel, John The Engineer | Ind | 138 | 138.0 | |||
fptp.35014 |
This data can not be used to predict outcomes for individual candidates. | 1-Watson, Anne Marie | Lib | 15,050 | 15,485.2 | |
1-Neudorf, Christopher | NDP | 8,107 | 8,723.1 | |||
1-Ruff, Alex | Con | 29,559 | 29,978.0 | ✔ | ||
1-Fosbrooke, Anna-Marie | PPC | 4,863 | 4,863.0 | |||
1-Lawrence, Ashley Michelle | Grn | 1,830 | 1,830.0 | |||
1-Kaikkonen, Reima | Ind | 545 | 545.0 | |||
fptp.35015 |
This data can not be used to predict outcomes for individual candidates. | 1-Brown, Emily | Con | 25,842 | 27,762.5 | |
1-Gould, Karina | Lib | 31,602 | 34,605.0 | ✔ | ||
1-Page, Nick | NDP | 7,510 | 7,811.0 | |||
1-Bator, Michael | PPC | 2,764 | 2,764.0 | |||
1-Cullis, Christian | Grn | 1,368 | 1,368.0 | |||
1-Carroll, Jevin David | Oth | 122 | 122.0 | |||
fptp.35016 |
This data can not be used to predict outcomes for individual candidates. | 1-May, Bryan | Lib | 20,796 | 27,379.5 | ✔ |
1-Cody, Connie | Con | 18,851 | 21,346.4 | |||
1-Bruce, Lorne | NDP | 9,316 | 9,725.9 | |||
1-Segounis, Maggie | PPC | 3,931 | 3,931.0 | |||
1-Braniff, Michele | Grn | 1,863 | 1,863.0 | |||
fptp.35017 |
This data can not be used to predict outcomes for individual candidates. | 1-Epp, Dave | Con | 22,335 | 27,377.0 | ✔ |
1-Hetherington, Greg | Lib | 15,681 | 19,009.7 | |||
1-Gelinas, Dan | NDP | 8,007 | 8,191.4 | |||
1-Vallee, Liz | PPC | 7,891 | 7,891.0 | |||
1-Vercouteren, Mark | Grn | 838 | 838.0 | |||
fptp.35018 |
This data can not be used to predict outcomes for individual candidates. | 1-Bravo, Alejandra | NDP | 19,695 | 23,563.5 | ✔ |
1-Dzerowicz, Julie | Lib | 19,860 | 20,668.6 | |||
1-Kalimbet, Jenny | Con | 4,740 | 5,300.8 | |||
1-Dos Remedios, Tara | PPC | 1,582 | 1,582.0 | |||
1-Currie, Adrian | Grn | 1,078 | 1,078.0 | |||
1-Kalevar, Chai | Ind | 85 | 170.0 | |||
1-Young, Troy | Ind | 85 | 85.0 | |||
fptp.35019 |
This data can not be used to predict outcomes for individual candidates. | 1-Williams, Penelope | Con | 8,428 | 9,036.7 | |
1-Topp, Simon | NDP | 4,879 | 6,526.0 | |||
1-De Marco, Peter | PPC | 2,033 | 2,104.6 | |||
1-Coteau, Michael | Lib | 22,503 | 18,922.5 | ✔ | ||
fptp.35020 |
This data can not be used to predict outcomes for individual candidates. | 1-Zuniga, Sabrina | Con | 12,054 | 12,353.9 | |
1-Griffin, Bruce | NDP | 4,337 | 5,148.4 | |||
1-Sobel, Jay | PPC | 1,366 | 1,401.3 | |||
1-Telfer, Natalie | Grn | 780 | 921.1 | |||
1-Dong, Han | Lib | 22,067 | 20,303.0 | ✔ | ||
fptp.35021 |
This data can not be used to predict outcomes for individual candidates. | 1-Robertson, Yvonne | Con | 16,707 | 16,925.1 | |
1-Riaz, Syeda | NDP | 3,814 | 4,404.2 | |||
1-Minas, Michael | PPC | 881 | 906.7 | |||
1-Caputolan, Elvira | Grn | 761 | 863.6 | |||
1-Khan, Adil | Oth | 65 | 65.0 | |||
1-Oliphant, Rob | Lib | 24,796 | 23,513.0 | ✔ | ||
fptp.35022 |
This data can not be used to predict outcomes for individual candidates. | 1-Seeback, Kyle | Con | 31,736 | 34,520.0 | ✔ |
1-Post, Lisa | Lib | 22,587 | 26,018.4 | |||
1-Sanchez, Samantha | NDP | 6,972 | 7,609.6 | |||
1-Zambito, Anthony | PPC | 4,597 | 4,597.0 | |||
1-Le Forestier, Jenni Michelle | Grn | 2,898 | 2,898.0 | |||
1-McKendrick, Stephen | Ind | 248 | 248.0 | |||
fptp.35023 |
This data can not be used to predict outcomes for individual candidates. | 1-Giancroce, Jonathan | Lib | 20,205 | 24,833.5 | |
1-O'Toole, Erin | Con | 31,421 | 33,810.5 | ✔ | ||
1-Cameron, Chris | NDP | 11,823 | 11,823.0 | |||
1-Conlin, Patricia | PPC | 3,722 | 3,722.0 | |||
1-Baron, Sarah Gabrielle | Ind | 251 | 300.0 | |||
1-Smith, Adam | Oth | 148 | 148.0 | |||
1-Patch, Kurdil-Telt | Ind | 49 | 49.0 | |||
fptp.35024 |
This data can not be used to predict outcomes for individual candidates. | 1-Pollock, Geoff | Con | 17,916 | 19,281.0 | |
1-Mendicino, Marco | Lib | 23,939 | 24,626.0 | ✔ | ||
1-Senneker, Caleb | NDP | 4,510 | 4,834.5 | |||
1-Frydman, Eric | Grn | 1,475 | 1,475.0 | |||
1-Gleeson, Timothy | PPC | 1,410 | 1,410.0 | |||
fptp.35025 |
This data can not be used to predict outcomes for individual candidates. | 1-Ajibowu, Afeez | Lib | 12,325 | 12,552.0 | |
1-Cody, Katelyn | NDP | 10,085 | 10,397.2 | |||
1-Hillier, Chelsea | PPC | 7,429 | 7,429.3 | |||
1-Vecchio, Karen | Con | 31,372 | 31,483.0 | ✔ | ||
1-Stark, Amanda | Grn | 1,417 | 1,417.0 | |||
1-Hopkins, Michael | CHP | 336 | 336.0 | |||
fptp.35026 |
This data can not be used to predict outcomes for individual candidates. | 1-Lewis, Chris | Con | 28,741 | 34,964.0 | ✔ |
1-Ramsey, Tracey | NDP | 22,269 | 27,479.1 | |||
1-Festeryga, Audrey | Lib | 10,778 | 10,915.4 | |||
1-Charron-Rowberry, Beth | PPC | 6,925 | 6,925.0 | |||
1-Pancheshan, Nancy | Grn | 859 | 859.0 | |||
1-Palko, Jeremy | CHP | 182 | 182.0 | |||
1-George, Andrew | Ind | 172 | 172.0 | |||
fptp.35027 |
This data can not be used to predict outcomes for individual candidates. | 1-Turner, Geoffrey | Con | 20,208 | 22,286.6 | |
1-Baker, Yvan | Lib | 27,623 | 28,821.0 | ✔ | ||
1-Da silva, Ashley | NDP | 5,809 | 5,809.0 | |||
1-Cormier, Maurice | PPC | 4,000 | 4,000.0 | |||
fptp.35028 |
This data can not be used to predict outcomes for individual candidates. | 1-Bains, Indira | Con | 20,436 | 22,846.5 | |
1-Maloney, James | Lib | 30,359 | 32,024.5 | ✔ | ||
1-Kane, Sasha | NDP | 8,774 | 9,073.9 | |||
1-McLachlan, Bill | PPC | 2,857 | 2,857.0 | |||
1-Elue, Afam | Grn | 1,363 | 1,363.0 | |||
1-Di Carlo, Anna | M-L | 139 | 139.0 | |||
1-Carson, Sean | Oth | 119 | 119.0 | |||
fptp.35029 |
This data can not be used to predict outcomes for individual candidates. | 1-Lamba, Priti | Con | 8,873 | 9,449.7 | |
1-Peter, Cecil | NDP | 3,691 | 5,251.6 | |||
1-Boutsikakis, Jim | PPC | 1,536 | 1,603.9 | |||
1-Royer, Carol | Ind | 325 | 325.0 | |||
1-Duncan, Kirsty | Lib | 21,212 | 17,819.5 | ✔ | ||
fptp.35030 |
This data can not be used to predict outcomes for individual candidates. | 1-Muys, Dan | Con | 24,031 | 29,940.0 | ✔ |
1-Sgro, Vito | Lib | 21,350 | 25,364.4 | |||
1-Newick, Lorne | NDP | 9,409 | 9,717.7 | |||
1-Panchyshyn, Bill | PPC | 3,685 | 3,685.0 | |||
1-Hatch, Thomas | Grn | 1,403 | 1,403.0 | |||
fptp.35031 |
This data can not be used to predict outcomes for individual candidates. | 1-McArthur, Susan | Con | 22,133 | 24,553.8 | |
1-Drouin, Francis | Lib | 30,564 | 33,188.5 | ✔ | ||
1-Malakos, Konstantine | NDP | 7,100 | 7,398.5 | |||
1-Austring, Brennan | PPC | 4,477 | 4,477.0 | |||
1-Lapierre, Daniel | Grn | 1,357 | 1,357.0 | |||
1-Bisaillon, Marc | Oth | 429 | 429.0 | |||
1-Joker, The | Ind | 315 | 315.0 | |||
fptp.35032 |
This data can not be used to predict outcomes for individual candidates. | 1-Sachan, Ashish | Con | 16,796 | 20,333.6 | |
1-Longfield, Lloyd | Lib | 29,376 | 34,885.5 | ✔ | ||
1-Jahangir, Aisha | NDP | 14,716 | 15,871.0 | |||
1-Bowman, Michelle | Grn | 5,250 | 5,250.0 | |||
1-Leier, Joshua | PPC | 3,182 | 3,182.0 | |||
1-Levenson, Karen | Oth | 262 | 262.0 | |||
1-Dineen, Tristan | Com | 187 | 187.0 | |||
fptp.35033 |
This data can not be used to predict outcomes for individual candidates. | 1-Matthews, Karen | Lib | 17,208 | 17,244.4 | |
1-Piironen, Meghan | NDP | 8,320 | 8,374.6 | |||
1-Lewis, Leslyn | Con | 29,586 | 31,253.5 | ✔ | ||
1-Gilpin, Ken | PPC | 6,570 | 6,570.0 | |||
1-Lugosi, Charles | CHP | 559 | 559.0 | |||
1-McMorrow, George | Oth | 262 | 262.0 | |||
fptp.35034 |
This data can not be used to predict outcomes for individual candidates. | 1-Forbes, Judi | Lib | 15,645 | 15,831.6 | |
1-Miller, Zac | NDP | 9,730 | 10,009.9 | |||
1-Davidson, Alison | PPC | 4,769 | 4,955.6 | |||
1-Godsoe, Angel | Grn | 1,699 | 1,854.5 | |||
1-Balfour, Gene | Lbt | 463 | 463.0 | |||
1-Schmale, Jamie | Con | 35,418 | 33,863.0 | ✔ | ||
fptp.35035 |
This data can not be used to predict outcomes for individual candidates. | 1-Bennett, Margaret | Lib | 11,010 | 12,399.2 | |
1-Green, Matthew | NDP | 20,139 | 20,809.0 | ✔ | ||
1-Grenning, Fabian | Con | 6,317 | 7,218.5 | |||
1-Barber, Kevin | PPC | 2,704 | 2,704.0 | |||
1-Weinstein, Avra Caroline | Grn | 1,129 | 1,129.0 | |||
1-Cheriyan, Nigel | Com | 217 | 217.0 | |||
1-Yan, Nathalie Xian Yi | Ind | 100 | 100.0 | |||
fptp.35036 |
This data can not be used to predict outcomes for individual candidates. | 1-Collins, Chad | Lib | 18,377 | 24,866.0 | ✔ |
1-Kuruc, Ned | Con | 13,988 | 16,722.9 | |||
1-Milanovic, Nick | NDP | 12,653 | 12,877.0 | |||
1-Ricci, Mario | PPC | 3,694 | 3,694.0 | |||
1-Pattison, Larry | Grn | 1,018 | 1,018.0 | |||
fptp.35037 |
This data can not be used to predict outcomes for individual candidates. | 1-Hepfner, Lisa | Lib | 16,547 | 24,253.0 | ✔ |
1-Allen, Malcolm | NDP | 15,712 | 18,238.4 | |||
1-Miles, Al | Con | 11,838 | 12,845.0 | |||
1-Taylor, Chelsey | PPC | 3,097 | 3,097.0 | |||
1-Urquhart, Dave | Grn | 974 | 974.0 | |||
1-Enos, Jim | CHP | 336 | 336.0 | |||
fptp.35038 |
This data can not be used to predict outcomes for individual candidates. | 1-Laranjo, Bert | Con | 18,122 | 20,844.7 | |
1-Tassi, Filomena | Lib | 27,797 | 31,325.0 | ✔ | ||
1-Henriquez, Roberto | NDP | 12,337 | 12,702.9 | |||
1-Woods, Dean | PPC | 2,592 | 2,592.0 | |||
1-Galea, Victoria | Grn | 1,663 | 1,663.0 | |||
1-Rocchi, Spencer | Oth | 137 | 137.0 | |||
fptp.35039 |
This data can not be used to predict outcomes for individual candidates. | 1-Kramp-Neuman, Shelby | Con | 24,653 | 27,335.5 | ✔ |
1-Bossio, Mike | Lib | 19,056 | 21,642.5 | |||
1-DeBues, Matilda | NDP | 6,020 | 6,233.6 | |||
1-Babcock, James | PPC | 3,131 | 3,131.0 | |||
1-Wilson, Reg | Grn | 971 | 971.0 | |||
1-Sloan, Jennifer | Ind | 838 | 838.0 | |||
fptp.35040 |
This data can not be used to predict outcomes for individual candidates. | 1-Rice, James | Lib | 16,138 | 16,218.0 | |
1-Johnstone, Jan | NDP | 9,123 | 9,243.1 | |||
1-Stecho, Jack | PPC | 4,471 | 4,551.0 | |||
1-Smith, Justin L | Ind | 523 | 523.0 | |||
1-Lobb, Ben | Con | 31,591 | 30,924.0 | ✔ | ||
fptp.35041 |
This data can not be used to predict outcomes for individual candidates. | 1-Sudds, Jenna | Lib | 26,394 | 31,579.0 | ✔ |
1-McAndrew, Jennifer | Con | 24,373 | 26,170.9 | |||
1-Coenraad, Melissa | NDP | 8,822 | 9,198.0 | |||
1-Miller, Scott | PPC | 1,858 | 1,858.0 | |||
1-Purdy, Jennifer | Grn | 1,709 | 1,709.0 | |||
fptp.35042 |
This data can not be used to predict outcomes for individual candidates. | 1-Melillo, Eric | Con | 11,103 | 13,043.0 | ✔ |
1-Seymour, Janine | NDP | 7,802 | 10,296.3 | |||
1-Bruno, David | Lib | 5,190 | 5,248.2 | |||
1-Martin, Craig | PPC | 1,625 | 1,625.0 | |||
1-Rheault, Remi | Grn | 364 | 364.0 | |||
fptp.35043 |
This data can not be used to predict outcomes for individual candidates. | 1-Roberts, Anna | Con | 22,529 | 24,990.5 | ✔ |
1-Schulte, Deb | Lib | 21,457 | 22,870.7 | |||
1-Lozano, Sandra | NDP | 3,234 | 3,370.4 | |||
1-Oprisan, Gilmar | PPC | 2,139 | 2,139.0 | |||
1-Herod, Roberta | Grn | 620 | 620.0 | |||
fptp.35044 |
This data can not be used to predict outcomes for individual candidates. | 1-Gerretsen, Mark | Lib | 27,661 | 33,501.5 | ✔ |
1-Sahai, Vic | NDP | 19,638 | 22,984.0 | |||
1-Oosterhof, Gary | Con | 15,748 | 16,571.0 | |||
1-Sayle-Udall, Shelley | PPC | 2,303 | 2,303.0 | |||
1-Khan, Waji | Grn | 1,651 | 1,651.0 | |||
fptp.35045 |
This data can not be used to predict outcomes for individual candidates. | 1-Morrice, Mike | Grn | 17,870 | 22,481.6 | ✔ |
1-Henein Thorn, Mary | Con | 12,535 | 16,520.3 | |||
1-Zubi, Beisan | NDP | 8,938 | 12,754.6 | |||
1-Saini, Raj | Lib | 8,297 | 8,297.0 | |||
1-Boskovic, Diane | PPC | 3,481 | 3,481.0 | |||
1-Papenburg, Ellen | Oth | 154 | 154.0 | |||
fptp.35046 |
This data can not be used to predict outcomes for individual candidates. | 1-Louis, Tim | Lib | 19,975 | 25,322.8 | ✔ |
1-Hawley, Carlene | Con | 19,447 | 21,464.2 | |||
1-Sookram, Narine Dat | NDP | 5,947 | 6,352.2 | |||
1-Dupuis, Kevin | PPC | 3,692 | 3,692.0 | |||
1-Bradley, Owen | Grn | 1,842 | 1,842.0 | |||
fptp.35047 |
This data can not be used to predict outcomes for individual candidates. | 1-Bradford, Valerie | Lib | 18,596 | 24,543.8 | ✔ |
1-Calver, Tyler | Con | 17,649 | 19,805.7 | |||
1-Arangath, Suresh | NDP | 8,079 | 8,455.2 | |||
1-Baumgaertner, Melissa | PPC | 3,351 | 3,351.0 | |||
1-Rose, Gabe | Grn | 1,710 | 1,710.0 | |||
1-Morrison, C.A. | Ind | 119 | 119.0 | |||
1-Davis, Stephen | Oth | 93 | 93.0 | |||
1-Baetz, Elaine | M-L | 57 | 57.0 | |||
fptp.35048 |
This data can not be used to predict outcomes for individual candidates. | 1-Ranade, Sudit | Lib | 12,522 | 12,829.1 | |
1-Henry, Jason | NDP | 11,053 | 11,493.0 | |||
1-Rood, Lianne | Con | 29,432 | 30,305.5 | ✔ | ||
1-Mitchell, Kevin | PPC | 6,567 | 6,567.0 | |||
1-Hull, Jeremy | Grn | 1,035 | 1,035.0 | |||
fptp.35049 |
This data can not be used to predict outcomes for individual candidates. | 1-Foxton, Michelle | Lib | 16,626 | 16,964.6 | |
1-Garrison, Steve | NDP | 9,825 | 10,298.4 | |||
1-Reid, Scott | Con | 30,695 | 31,459.0 | ✔ | ||
1-Bors, Florian | PPC | 3,835 | 3,835.0 | |||
1-Neufeld, Calvin | Grn | 1,723 | 1,723.0 | |||
1-Hamilton, Blake | Oth | 212 | 212.0 | |||
fptp.35050 |
This data can not be used to predict outcomes for individual candidates. | 1-Abbott, Roberta L | Lib | 14,964 | 15,004.1 | |
1-Taylor, Michelle | NDP | 8,779 | 8,839.2 | |||
1-Cassell, Alex | PPC | 3,398 | 3,438.1 | |||
1-Rekmans, Lorraine | Grn | 2,135 | 2,168.5 | |||
1-Barrett, Michael | Con | 29,947 | 29,612.5 | ✔ | ||
fptp.35051 |
This data can not be used to predict outcomes for individual candidates. | 1-Vanderley, Mattias | Con | 12,491 | 16,176.9 | |
1-Mathyssen, Lindsay | NDP | 22,340 | 25,716.0 | ✔ | ||
1-Hammoud, Mohamed | Lib | 11,881 | 11,881.0 | |||
1-Free, Kyle | PPC | 4,718 | 4,718.0 | |||
fptp.35052 |
This data can not be used to predict outcomes for individual candidates. | 1-Fragiskatos, Peter | Lib | 22,856 | 29,278.0 | ✔ |
1-Gallant, Stephen | Con | 15,881 | 18,763.8 | |||
1-Prout, Dirka | NDP | 15,623 | 15,907.2 | |||
1-Emery, Marc | PPC | 2,902 | 2,902.0 | |||
1-Hodge, Mary Ann | Grn | 1,292 | 1,292.0 | |||
fptp.35053 |
This data can not be used to predict outcomes for individual candidates. | 1-Kayabaga, Arielle | Lib | 25,247 | 34,305.0 | ✔ |
1-Flack, Rob | Con | 22,291 | 25,348.1 | |||
1-Lewkowitz, Shawna | NDP | 16,763 | 16,763.0 | |||
1-McMullen, Mike | PPC | 3,485 | 3,485.0 | |||
1-Boudreau, Jacques Y | Lbt | 822 | 822.0 | |||
fptp.35054 |
This data can not be used to predict outcomes for individual candidates. | 1-Smith, Ben | Con | 19,702 | 19,772.9 | |
1-Sahi, Muhammad Ahsin | NDP | 4,674 | 4,865.8 | |||
1-De Vries, René | PPC | 1,810 | 1,818.3 | |||
1-Baig, Uzair | Grn | 975 | 1,008.4 | |||
1-Jaczek, Helena | Lib | 27,997 | 27,580.0 | ✔ | ||
fptp.35055 |
This data can not be used to predict outcomes for individual candidates. | 1-Felian, Melissa | Con | 10,126 | 10,881.7 | |
1-Sahbaz, Paul | NDP | 3,222 | 5,266.9 | |||
1-Lee, Mimi | Grn | 813 | 1,168.6 | |||
1-Pashaev, Ilia | PPC | 645 | 733.9 | |||
1-Ng, Mary | Lib | 23,699 | 19,253.5 | ✔ | ||
fptp.35056 |
This data can not be used to predict outcomes for individual candidates. | 1-Saroya, Bob | Con | 18,993 | 19,623.6 | |
1-Chiang, Paul | Lib | 21,912 | 22,576.5 | ✔ | ||
1-Qureshi, Aftab | NDP | 3,000 | 3,274.1 | |||
1-Kao, Elvin | Grn | 1,246 | 1,246.0 | |||
fptp.35057 |
This data can not be used to predict outcomes for individual candidates. | 1-Akbar, Nadeem | Con | 18,297 | 18,479.1 | |
1-Sahi, Muhammad Riaz | NDP | 4,925 | 5,417.7 | |||
1-Haddad, Shibli | PPC | 2,365 | 2,386.4 | |||
1-Kowalchuk, Chris | Grn | 1,280 | 1,365.7 | |||
1-van Koeverden, Adam | Lib | 29,011 | 27,940.0 | ✔ | ||
fptp.35058 |
This data can not be used to predict outcomes for individual candidates. | 1-Zhao, Kathy-Ying | Con | 13,390 | 13,728.3 | |
1-Samuel, Teneshia | NDP | 5,330 | 6,245.4 | |||
1-Diab, Elie | PPC | 2,148 | 2,187.8 | |||
1-Laferriere, Craig | Grn | 864 | 1,023.2 | |||
1-Alghabra, Omar | Lib | 25,714 | 23,724.0 | ✔ | ||
fptp.35059 |
This data can not be used to predict outcomes for individual candidates. | 1-Adamu, Grace | Con | 14,739 | 16,471.6 | |
1-Fonseca, Peter | Lib | 22,781 | 22,890.0 | ✔ | ||
1-Takacs, Tom | NDP | 4,670 | 4,670.0 | |||
1-Westover, Joseph | PPC | 2,937 | 2,937.0 | |||
1-Elliott, Gord | Ind | 339 | 339.0 | |||
1-Sullivan, Dagmar | M-L | 312 | 312.0 | |||
fptp.35060 |
This data can not be used to predict outcomes for individual candidates. | 1-Nguyen, James | Con | 17,094 | 17,164.0 | |
1-Usman, Kaukab | NDP | 5,294 | 5,483.3 | |||
1-Bayer, Michael | PPC | 1,713 | 1,721.2 | |||
1-DeSilva, Ewan | Grn | 825 | 857.9 | |||
1-Khalid, Iqra | Lib | 25,751 | 25,339.5 | ✔ | ||
fptp.35061 |
This data can not be used to predict outcomes for individual candidates. | 1-Spengemann, Sven | Lib | 25,284 | 28,123.0 | ✔ |
1-Ras, Michael | Con | 21,751 | 23,251.9 | |||
1-Walji, Sarah | NDP | 5,483 | 5,761.3 | |||
1-Seyfaie, Vahid | PPC | 2,361 | 2,361.0 | |||
1-Robertson, Elizabeth | Grn | 1,265 | 1,265.0 | |||
1-Tahk, Kayleigh | Oth | 100 | 100.0 | |||
fptp.35062 |
This data can not be used to predict outcomes for individual candidates. | 1-Roach, Clyde | Con | 12,555 | 12,755.1 | |
1-Ahmed, Waseem | NDP | 5,761 | 6,302.4 | |||
1-Davidson, Mark | Grn | 811 | 905.2 | |||
1-Chilelli, Frank | M-L | 283 | 283.0 | |||
1-Gaheer, Iqwinder | Lib | 21,766 | 20,589.0 | ✔ | ||
fptp.35063 |
This data can not be used to predict outcomes for individual candidates. | 1-Rattan, Jasveen | Con | 17,505 | 19,293.4 | |
1-Valdez, Rechie | Lib | 24,645 | 26,008.5 | ✔ | ||
1-Hassan, Farina | NDP | 6,150 | 6,387.4 | |||
1-Wolosz, Gurdeep | PPC | 2,382 | 2,382.0 | |||
1-Hill, Chris | Grn | 1,079 | 1,079.0 | |||
1-Spizzirri, Natalie | Oth | 254 | 254.0 | |||
fptp.35064 |
This data can not be used to predict outcomes for individual candidates. | 1-Triemstra, Matt | Con | 22,184 | 24,387.4 | |
1-Arya, Chandra | Lib | 29,620 | 32,875.0 | ✔ | ||
1-Devine, Sean | NDP | 10,786 | 11,076.0 | |||
1-Nera, Jay | PPC | 1,840 | 1,840.0 | |||
1-Kubanek, Gordon | Grn | 1,318 | 1,318.0 | |||
fptp.35065 |
This data can not be used to predict outcomes for individual candidates. | 1-Van Bynen, Tony | Lib | 24,138 | 27,611.0 | ✔ |
1-Kim, Harold | Con | 21,173 | 22,730.4 | |||
1-Kelly, Yvonne | NDP | 6,338 | 6,561.3 | |||
1-Gagnon, Andre | PPC | 2,296 | 2,296.0 | |||
1-Flemming, Tim | Grn | 1,015 | 1,015.0 | |||
1-Baxter, Dorian | Ind | 260 | 260.0 | |||
fptp.35066 |
This data can not be used to predict outcomes for individual candidates. | 1-Badawey, Vance | Lib | 20,574 | 28,937.8 | ✔ |
1-Speck, Graham | Con | 18,324 | 21,538.4 | |||
1-McGlashan, Melissa | NDP | 14,098 | 14,349.5 | |||
1-Kimmons, Michael | PPC | 4,670 | 4,670.0 | |||
1-McCartney, Kurtis | Grn | 1,143 | 1,143.0 | |||
fptp.35067 |
This data can not be used to predict outcomes for individual candidates. | 1-Baldinelli, Tony | Con | 26,810 | 35,218.2 | ✔ |
1-Kaiser, Andrea | Lib | 23,650 | 29,008.9 | |||
1-Barker, Brian | NDP | 12,871 | 13,174.6 | |||
1-Taras, Peter | PPC | 5,951 | 5,951.0 | |||
1-Holm, Melanie | Grn | 1,380 | 1,380.0 | |||
fptp.35068 |
This data can not be used to predict outcomes for individual candidates. | 1-Allison, Dean | Con | 25,276 | 27,676.5 | ✔ |
1-Bingham, Ian | Lib | 16,813 | 19,958.3 | |||
1-Rahman, Nameer | NDP | 7,054 | 7,406.9 | |||
1-Derkson, Shaunalee | PPC | 3,937 | 3,937.0 | |||
1-Kocsis, Joanna | Grn | 1,604 | 1,604.0 | |||
1-Jonker, Harold | CHP | 667 | 667.0 | |||
fptp.35069 |
This data can not be used to predict outcomes for individual candidates. | 1-Serré, Marc G | Lib | 17,358 | 24,855.4 | ✔ |
1-Humphrey, Charles | Con | 13,430 | 16,518.3 | |||
1-Chénier, Andréane Simone | NDP | 13,597 | 13,787.1 | |||
1-Hobbs, David | PPC | 4,549 | 4,549.0 | |||
1-Gravelle, Craig | Grn | 864 | 864.0 | |||
fptp.35070 |
This data can not be used to predict outcomes for individual candidates. | 1-Rota, Anthony | Lib | 18,047 | 23,606.0 | ✔ |
1-Trahan, Steven | Con | 15,086 | 17,406.0 | |||
1-Robertson, Scott | NDP | 10,573 | 10,573.0 | |||
1-Galante, Gregory J | PPC | 3,504 | 3,504.0 | |||
fptp.35071 |
This data can not be used to predict outcomes for individual candidates. | 1-Lawrence, Philip | Con | 30,839 | 34,643.5 | ✔ |
1-Lester, Alison | Lib | 23,136 | 27,376.2 | |||
1-McArthur-Jackson, Kim | NDP | 9,760 | 10,148.3 | |||
1-Lang, Nathan | PPC | 3,785 | 3,785.0 | |||
1-Wilson, Christina | Grn | 1,765 | 1,765.0 | |||
fptp.35072 |
This data can not be used to predict outcomes for individual candidates. | 1-Colborne, Kerry | Con | 24,020 | 25,406.0 | |
1-Anand, Anita | Lib | 28,126 | 30,292.5 | ✔ | ||
1-Adamo, Jerome | NDP | 5,377 | 5,616.8 | |||
1-Meaney, JD | PPC | 1,970 | 1,970.0 | |||
1-Knox, Oriana | Grn | 1,090 | 1,090.0 | |||
fptp.35073 |
This data can not be used to predict outcomes for individual candidates. | 1-Rizkalla, Hanan | Con | 25,074 | 26,815.5 | |
1-Damoff, Pam | Lib | 30,851 | 32,975.0 | ✔ | ||
1-Dupuis, Lenaee | NDP | 6,602 | 6,824.6 | |||
1-Jubinville, Gilbert | PPC | 2,409 | 2,409.0 | |||
1-Sousa, Bruno | Grn | 1,012 | 1,012.0 | |||
fptp.35074 |
This data can not be used to predict outcomes for individual candidates. | 1-Carrie, Colin | Con | 22,409 | 28,214.5 | ✔ |
1-Panylo, Shailene | NDP | 16,057 | 22,301.3 | |||
1-Hossain, Afroza | Lib | 12,866 | 13,043.6 | |||
1-Mackie, Darryl | PPC | 3,985 | 3,985.0 | |||
1-Mir, Sonny | Grn | 1,110 | 1,110.0 | |||
fptp.35075 |
This data can not be used to predict outcomes for individual candidates. | 1-Naqvi, Yasir | Lib | 33,836 | 37,242.5 | ✔ |
1-MacEwen, Angella | NDP | 24,544 | 27,235.9 | |||
1-Clemenhagen, Carol | Con | 11,626 | 12,285.5 | |||
1-Keller-Herzog, Angela | Grn | 2,184 | 2,184.0 | |||
1-Watteel, Regina | PPC | 1,616 | 1,616.0 | |||
1-Bertrand, Shelby | Oth | 290 | 290.0 | |||
1-McDonald, Alex | Com | 202 | 202.0 | |||
1-Joyal, Richard Rich | Ind | 185 | 185.0 | |||
fptp.35076 |
This data can not be used to predict outcomes for individual candidates. | 1-Wolfe, Mary-Elsie | Con | 21,700 | 21,947.9 | |
1-Joanis, Jessica | NDP | 10,983 | 11,653.9 | |||
1-Oklobdzija, Spencer | PPC | 2,046 | 2,075.2 | |||
1-Hartnett, Michael | Grn | 1,233 | 1,349.7 | |||
1-Cléroux, André Junior | Oth | 220 | 220.0 | |||
1-Lalonde, Marie-France | Lib | 39,101 | 37,642.5 | ✔ | ||
fptp.35077 |
This data can not be used to predict outcomes for individual candidates. | 1-Tannis, Eli | Con | 15,505 | 18,302.7 | |
1-McGuinty, David | Lib | 29,038 | 29,741.5 | ✔ | ||
1-Mukbil, Huda | NDP | 11,506 | 11,814.2 | |||
1-Hall, Chylow | PPC | 1,887 | 1,887.0 | |||
1-Schram, Les | Grn | 1,401 | 1,401.0 | |||
1-Wasslen, Larry | Com | 144 | 144.0 | |||
fptp.35078 |
This data can not be used to predict outcomes for individual candidates. | 1-Inamuco, Lyse-Pascale | NDP | 13,757 | 16,920.6 | |
1-Fortier, Mona | Lib | 28,513 | 29,085.0 | ✔ | ||
1-Jensen, Heidi | Con | 11,599 | 12,302.3 | |||
1-Desgranges, Jean-Jacques | PPC | 1,860 | 1,860.0 | |||
1-Proulx, Christian | Grn | 1,816 | 1,816.0 | |||
1-Elford, Daniel | Lbt | 268 | 268.0 | |||
1-Bourguignon, Crystelle | Oth | 190 | 190.0 | |||
1-Leriche, Marie-Chantal TaiEl | Ind | 165 | 165.0 | |||
fptp.35079 |
This data can not be used to predict outcomes for individual candidates. | 1-Jennekens, Jennifer | Con | 16,356 | 18,769.5 | |
1-Vandenbeld, Anita | Lib | 25,796 | 28,565.5 | ✔ | ||
1-Hameed, Yavar | NDP | 11,101 | 11,459.8 | |||
1-Yeo, David | PPC | 1,915 | 1,915.0 | |||
1-Stibbe, David | Grn | 1,631 | 1,631.0 | |||
1-Mulligan, Sean | CHP | 330 | 330.0 | |||
fptp.35080 |
This data can not be used to predict outcomes for individual candidates. | 1-Quinto, Elizabeth | Lib | 12,563 | 12,872.6 | |
1-Chambers, Matthew | NDP | 11,231 | 11,662.0 | |||
1-MacKenzie, Dave | Con | 29,034 | 30,797.5 | ✔ | ||
1-Martin, Wendy | PPC | 6,619 | 6,619.0 | |||
1-Reid, Bob | Grn | 1,668 | 1,668.0 | |||
1-Scovil, Allen | CHP | 478 | 478.0 | |||
fptp.35081 |
This data can not be used to predict outcomes for individual candidates. | 1-Virani, Arif | Lib | 22,307 | 26,272.5 | ✔ |
1-Taylor, Paul | NDP | 20,602 | 22,141.7 | |||
1-Sanajko, Nestor | Con | 6,815 | 7,384.2 | |||
1-Danzinger, Wilfried Richard Alexander | PPC | 1,642 | 1,642.0 | |||
1-Marchand-Lafortune, Diem | Grn | 957 | 957.0 | |||
1-Parker, Terry | Oth | 130 | 130.0 | |||
1-Gershuny, Lorne | M-L | 90 | 90.0 | |||
fptp.35082 |
This data can not be used to predict outcomes for individual candidates. | 1-Nicoyishakiye, Jovanie | Lib | 11,980 | 12,516.2 | |
1-Hay, Heather | NDP | 9,374 | 10,116.3 | |||
1-Aitchison, Scott | Con | 26,603 | 27,770.0 | ✔ | ||
1-Tole, James | PPC | 4,184 | 4,184.0 | |||
1-Mantha, Marc | Grn | 3,099 | 3,099.0 | |||
1-Predie Jr, Daniel | Ind | 203 | 203.0 | |||
1-Fawcett, James | Oth | 95 | 95.0 | |||
fptp.35083 |
This data can not be used to predict outcomes for individual candidates. | 1-Knight, Brendan | Lib | 13,784 | 13,875.4 | |
1-Kruchkywich, Kevin | NDP | 9,552 | 9,689.1 | |||
1-Nater, John | Con | 27,004 | 27,849.5 | ✔ | ||
1-Baker, Wayne | PPC | 5,357 | 5,357.0 | |||
fptp.35084 |
This data can not be used to predict outcomes for individual candidates. | 1-Monsef, Maryam | Lib | 24,564 | 33,744.6 | ✔ |
1-Ferreri, Michelle | Con | 27,301 | 29,989.6 | |||
1-Lachica, Joy | NDP | 13,335 | 13,676.2 | |||
1-Lawton, Paul | PPC | 3,078 | 3,078.0 | |||
1-White, Chanté | Grn | 1,551 | 1,551.0 | |||
1-Bowers, Robert M. | Ind | 226 | 226.0 | |||
fptp.35085 |
This data can not be used to predict outcomes for individual candidates. | 1-Mantle, Jacob | Con | 20,976 | 22,767.6 | |
1-O'Connell, Jennifer | Lib | 27,178 | 29,014.0 | ✔ | ||
1-Higdon, Eileen | NDP | 7,545 | 7,545.0 | |||
1-Chisu, Corneliu | PPC | 2,327 | 2,327.0 | |||
fptp.35086 |
This data can not be used to predict outcomes for individual candidates. | 1-Primeau, Jodie | NDP | 12,243 | 12,697.1 | |
1-Mills, Cyndi | Lib | 11,289 | 11,606.5 | |||
1-Gallant, Cheryl | Con | 28,967 | 29,229.0 | ✔ | ||
1-Ainsworth, David | PPC | 4,469 | 4,469.0 | |||
1-Lariviere, Michael | Grn | 1,109 | 1,109.0 | |||
1-Klietsch, Stefan | Ind | 379 | 379.0 | |||
fptp.35087 |
This data can not be used to predict outcomes for individual candidates. | 1-Menegakis, Costas | Con | 17,715 | 18,690.0 | |
1-Jowhari, Majid | Lib | 21,784 | 22,832.0 | ✔ | ||
1-DeVita, Adam | NDP | 3,995 | 3,995.0 | |||
1-Tvorogov, Igor | PPC | 1,363 | 1,363.0 | |||
1-DiPaola, Charity | Ind | 619 | 805.0 | |||
1-Keller, Angelika | Ind | 186 | 186.0 | |||
fptp.35088 |
This data can not be used to predict outcomes for individual candidates. | 1-Roy, Gustave | Lib | 24,298 | 24,513.3 | |
1-Hua, Kevin | NDP | 8,164 | 8,460.4 | |||
1-Crawley, Peter | PPC | 1,728 | 1,731.0 | |||
1-Poilievre, Pierre | Con | 35,356 | 35,437.5 | ✔ | ||
1-Dookeran, Nira | Grn | 1,327 | 1,327.0 | |||
fptp.35089 |
This data can not be used to predict outcomes for individual candidates. | 1-Bittle, Chris | Lib | 22,071 | 29,183.0 | ✔ |
1-Waler, Krystina | Con | 19,048 | 21,797.4 | |||
1-McLennon, Trecia | NDP | 12,294 | 12,534.0 | |||
1-Hahn, Rebecca | PPC | 3,860 | 3,860.0 | |||
1-Rhodes, Catharine | Grn | 1,091 | 1,091.0 | |||
fptp.35090 |
This data can not be used to predict outcomes for individual candidates. | 1-Osadchuk, Stephanie | Con | 13,377 | 14,072.2 | |
1-Coles, Sidney | NDP | 8,836 | 9,567.5 | |||
1-Bennett, Carolyn | Lib | 25,943 | 26,389.5 | ✔ | ||
1-De Luna, Phil | Grn | 3,191 | 3,191.0 | |||
1-Remedios, Peter | PPC | 1,430 | 1,430.0 | |||
fptp.35091 |
This data can not be used to predict outcomes for individual candidates. | 1-Kilner, Adam | NDP | 11,945 | 17,505.6 | |
1-Gladu, Marilyn | Con | 26,292 | 28,394.5 | ✔ | ||
1-Nantais, Lois | Lib | 10,865 | 11,000.7 | |||
1-Everaert, Brian | PPC | 6,359 | 6,359.0 | |||
1-Bunko, Stefanie | Grn | 848 | 848.0 | |||
1-Laird, Tom | CHP | 478 | 478.0 | |||
fptp.35092 |
This data can not be used to predict outcomes for individual candidates. | 1-Sheehan, Terry | Lib | 15,231 | 20,101.5 | ✔ |
1-Spina, Sonny | Con | 14,984 | 16,532.1 | |||
1-Morin-Strom, Marie | NDP | 8,043 | 8,043.0 | |||
1-Makowski, Kasper | PPC | 1,943 | 1,943.0 | |||
fptp.35093 |
This data can not be used to predict outcomes for individual candidates. | 1-Johnson, Mark | Con | 10,630 | 11,034.6 | |
1-Julius, Larisa | NDP | 3,680 | 4,774.8 | |||
1-Muraven, Eric | PPC | 979 | 1,026.6 | |||
1-Balasingham, Arjun | Grn | 631 | 821.4 | |||
1-Yip, Jean | Lib | 20,682 | 18,302.0 | ✔ | ||
fptp.35094 |
This data can not be used to predict outcomes for individual candidates. | 1-Ponnayan, Malcolm | Con | 9,789 | 10,310.8 | |
1-Kamal, Faiz | NDP | 5,472 | 6,884.0 | |||
1-Rozoveanu, Petru | PPC | 1,460 | 1,521.4 | |||
1-Mathew, Aylwin T | Oth | 262 | 262.0 | |||
1-Zahid, Salma | Lib | 23,124 | 20,054.5 | ✔ | ||
fptp.35095 |
This data can not be used to predict outcomes for individual candidates. | 1-Wilson, Carmen | Con | 7,988 | 8,696.8 | |
1-Spencer, Michelle | NDP | 5,092 | 7,010.0 | |||
1-Bountrogiannis, James | PPC | 1,096 | 1,179.4 | |||
1-Clarke, Kevin | Ind | 155 | 155.0 | |||
1-Khan, Aslam | Oth | 129 | 129.0 | |||
1-Day, Opa | Ind | 85 | 85.0 | |||
1-Stefanis, Gus | Oth | 52 | 52.0 | |||
1-McKay, John | Lib | 22,938 | 18,768.5 | ✔ | ||
fptp.35096 |
This data can not be used to predict outcomes for individual candidates. | 1-Shah, Fazal | Con | 7,055 | 7,861.1 | |
1-Love, Christina | NDP | 3,514 | 5,695.1 | |||
1-Moore, David | PPC | 763 | 857.8 | |||
1-Khan, Sheraz | Oth | 361 | 361.0 | |||
1-Chen, Shaun | Lib | 21,178 | 16,436.5 | ✔ | ||
fptp.35097 |
This data can not be used to predict outcomes for individual candidates. | 1-Choudhary, Zia | Con | 9,631 | 10,623.9 | |
1-Kwok, Kingsley | NDP | 6,073 | 8,759.6 | |||
1-Rehman, Asad | PPC | 1,316 | 1,432.8 | |||
1-Anandasangaree, Gary | Lib | 28,703 | 22,862.5 | ✔ | ||
fptp.35098 |
This data can not be used to predict outcomes for individual candidates. | 1-Bhuiyan, Mohsin | Con | 8,991 | 9,540.3 | |
1-Arale, Guled | NDP | 6,924 | 8,410.3 | |||
1-Pache, Ramona | PPC | 1,259 | 1,323.6 | |||
1-Cain, Amanda | Grn | 1,068 | 1,326.5 | |||
1-Poon, David Edward-Ooi | Ind | 117 | 117.0 | |||
1-Blair, Bill | Lib | 24,823 | 21,592.0 | ✔ | ||
fptp.35099 |
This data can not be used to predict outcomes for individual candidates. | 1-Munro, Bren | Lib | 21,026 | 25,798.8 | |
1-Dowdall, Terry | Con | 35,548 | 37,758.0 | ✔ | ||
1-Gillies, Lucas | NDP | 10,090 | 10,735.3 | |||
1-Minatel, Adam | PPC | 5,534 | 5,534.0 | |||
1-Clayton, Nicholas | Grn | 2,933 | 2,933.0 | |||
1-Stouffer, Ken | CHP | 383 | 383.0 | |||
fptp.35100 |
This data can not be used to predict outcomes for individual candidates. | 1-Chambers, Adam | Con | 27,383 | 31,844.5 | ✔ |
1-Wesley-Esquimaux, Cynthia | Lib | 19,302 | 23,650.3 | |||
1-Durnford, Janet-Lynne | NDP | 9,950 | 10,368.7 | |||
1-Makk, Stephen | PPC | 4,939 | 4,939.0 | |||
1-Brooks, Krystal | Grn | 1,903 | 1,903.0 | |||
1-Emo, Russ | CHP | 210 | 210.0 | |||
fptp.35101 |
This data can not be used to predict outcomes for individual candidates. | 1-Vuong, Kevin | Lib | 18,991 | 24,411.0 | ✔ |
1-Di Pasquale, Norm | NDP | 16,833 | 19,075.8 | |||
1-Jandu, Sukhi | Con | 9,875 | 10,449.4 | |||
1-Rosenstock, Amanda | Grn | 1,645 | 1,645.0 | |||
1-Roden, Ian | PPC | 1,476 | 1,476.0 | |||
fptp.35102 |
This data can not be used to predict outcomes for individual candidates. | 1-Moquin, Denis | Lib | 12,615 | 12,953.2 | |
1-Kennedy, Trevor | NDP | 5,839 | 6,346.2 | |||
1-Anber, David | PPC | 3,954 | 4,292.2 | |||
1-Warnock, Jeanie | Grn | 1,230 | 1,511.8 | |||
1-Duncan, Eric | Con | 29,276 | 26,458.0 | ✔ | ||
fptp.35103 |
This data can not be used to predict outcomes for individual candidates. | 1-LaPointe, Viviane | Lib | 15,871 | 23,003.5 | ✔ |
1-Verrelli, Nadia | NDP | 13,569 | 16,238.7 | |||
1-Symington, Ian | Con | 12,752 | 13,649.9 | |||
1-Methé, Colette Andréa | PPC | 2,735 | 2,735.0 | |||
1-Robinson, David Robert | Grn | 967 | 967.0 | |||
1-Popescu, J. David | Ind | 111 | 111.0 | |||
fptp.35104 |
This data can not be used to predict outcomes for individual candidates. | 1-Gladstone, Gary | Lib | 18,168 | 18,248.9 | |
1-Razvi, Raz | NDP | 3,032 | 3,153.3 | |||
1-Greenfield, Samuel | PPC | 2,322 | 2,402.9 | |||
1-Mikanovsky, Daniella | Grn | 844 | 911.4 | |||
1-Lantsman, Melissa | Con | 25,716 | 25,042.0 | ✔ | ||
fptp.35105 |
This data can not be used to predict outcomes for individual candidates. | 1-Powlowski, Marcus | Lib | 13,660 | 19,894.2 | ✔ |
1-Pecchia, Adelina | Con | 11,671 | 13,884.9 | |||
1-Won, Yuk-Sem | NDP | 11,353 | 11,478.6 | |||
1-Aubut, Alan | PPC | 2,636 | 2,636.0 | |||
1-MacKinnon, Tracey | Grn | 571 | 571.0 | |||
fptp.35106 |
This data can not be used to predict outcomes for individual candidates. | 1-Hajdu, Patty | Lib | 16,877 | 20,731.0 | ✔ |
1-Bryson, Chantelle | NDP | 11,243 | 13,353.5 | |||
1-Taylor, Joshua | Con | 10,035 | 10,832.6 | |||
1-Daines, Rick | PPC | 2,464 | 2,464.0 | |||
1-Moddejonge, Amanda | Grn | 730 | 730.0 | |||
1-Vodden, Alexander | Lbt | 111 | 111.0 | |||
fptp.35107 |
This data can not be used to predict outcomes for individual candidates. | 1-Angus, Charlie | NDP | 12,132 | 17,283.5 | ✔ |
1-Ellerton, Morgan | Con | 9,449 | 12,246.1 | |||
1-Black, Steve | Lib | 8,447 | 8,447.0 | |||
1-MacLeod, Stephen | PPC | 4,537 | 4,537.0 | |||
fptp.35108 |
This data can not be used to predict outcomes for individual candidates. | 1-Chang, Brian | NDP | 11,919 | 11,976.5 | |
1-Lester, Ryan | Con | 5,571 | 5,592.3 | |||
1-Paul, Annamie | Grn | 3,921 | 3,931.0 | |||
1-Jaffery, Syed | PPC | 1,119 | 1,121.5 | |||
1-Byard, Ivan | Com | 181 | 181.0 | |||
1-Stubbins, Peter | Oth | 116 | 116.0 | |||
1-Ien, Marci | Lib | 23,079 | 22,954.0 | ✔ | ||
fptp.35109 |
This data can not be used to predict outcomes for individual candidates. | 1-Hacksel, Clare | NDP | 17,552 | 19,105.9 | |
1-Dabrusin, Julie | Lib | 25,213 | 26,055.0 | ✔ | ||
1-Carey, Michael | Con | 6,510 | 6,976.4 | |||
1-Simmons, Wayne | PPC | 1,282 | 1,282.0 | |||
1-Tollar, Maryem | Grn | 1,023 | 1,023.0 | |||
1-Rowley, Elizabeth | Com | 215 | 215.0 | |||
1-White, Liz | Oth | 184 | 184.0 | |||
1-Desai, Habiba | Ind | 129 | 129.0 | |||
fptp.35110 |
This data can not be used to predict outcomes for individual candidates. | 1-Robicheau, Nicole | NDP | 11,524 | 13,911.5 | |
1-Freeland, Chrystia | Lib | 22,050 | 23,160.0 | ✔ | ||
1-Taylor, Steven | Con | 9,415 | 9,916.6 | |||
1-Grant, Tim | Grn | 1,927 | 1,927.0 | |||
1-Kent, David | PPC | 1,158 | 1,158.0 | |||
1-Garvie, Drew | Com | 244 | 244.0 | |||
fptp.35111 |
This data can not be used to predict outcomes for individual candidates. | 1-Sorbara, Francesco | Lib | 21,669 | 23,567.0 | ✔ |
1-Panacci, Angela | Con | 19,019 | 20,229.1 | |||
1-DeVita, Peter Michael | NDP | 3,265 | 3,364.7 | |||
1-Greco, Mario | PPC | 2,567 | 2,567.0 | |||
1-Khan, Muhammad Hassan | Grn | 453 | 453.0 | |||
1-Mele, Luca | Ind | 159 | 159.0 | |||
fptp.35112 |
This data can not be used to predict outcomes for individual candidates. | 1-Shannon, Meghan | Con | 16,535 | 19,294.1 | |
1-Chagger, Bardish | Lib | 26,844 | 29,794.0 | ✔ | ||
1-Cassels, Jonathan | NDP | 11,359 | 11,808.2 | |||
1-Doucette, Patrick | PPC | 2,806 | 2,806.0 | |||
1-Villagomez Fajardo, Karla | Grn | 2,042 | 2,042.0 | |||
fptp.35113 |
This data can not be used to predict outcomes for individual candidates. | 1-Lang, Melanie | Lib | 18,314 | 18,494.1 | |
1-Jahangir, Noor | NDP | 7,051 | 7,321.1 | |||
1-Carle, Syl | PPC | 4,355 | 4,535.1 | |||
1-Zhu, Ran | Grn | 2,614 | 2,764.1 | |||
1-Chong, Michael | Con | 35,337 | 33,836.5 | ✔ | ||
fptp.35114 |
This data can not be used to predict outcomes for individual candidates. | 1-Turnbull, Ryan | Lib | 27,173 | 30,910.5 | ✔ |
1-Shahid, Maleeha | Con | 22,151 | 24,126.6 | |||
1-Dias, Brian | NDP | 8,787 | 9,004.4 | |||
1-Androvic, Thomas | PPC | 2,720 | 2,720.0 | |||
1-Kotilainen, Johannes | Grn | 988 | 988.0 | |||
fptp.35115 |
This data can not be used to predict outcomes for individual candidates. | 1-Lee, Daniel | Con | 13,900 | 13,980.2 | |
1-Berman, Hal | NDP | 4,217 | 4,433.9 | |||
1-Wahab, Al | PPC | 1,099 | 1,108.4 | |||
1-Gorka, Anna | Grn | 812 | 849.7 | |||
1-Ehsassi, Ali | Lib | 20,973 | 20,501.5 | ✔ | ||
fptp.35116 |
This data can not be used to predict outcomes for individual candidates. | 1-Hardcastle, Cheryl | NDP | 17,459 | 28,485.5 | ✔ |
1-Kusmierczyk, Irek | Lib | 18,134 | 20,215.3 | |||
1-Borrelli, Kathy | Con | 14,603 | 16,435.9 | |||
1-Green, Victor | PPC | 5,928 | 5,928.0 | |||
1-Oulevey, Henry | Grn | 681 | 681.0 | |||
1-Chesnik, Laura | M-L | 164 | 164.0 | |||
fptp.35117 |
This data can not be used to predict outcomes for individual candidates. | 1-Masse, Brian | NDP | 21,702 | 24,523.0 | ✔ |
1-Pupatello, Sandra | Lib | 13,670 | 14,949.2 | |||
1-Orlando, Anthony | Con | 9,436 | 10,660.0 | |||
1-Giancola, Matthew | PPC | 4,080 | 4,080.0 | |||
1-Villamizar, Margaret | M-L | 156 | 156.0 | |||
fptp.35118 |
This data can not be used to predict outcomes for individual candidates. | 1-Etienne, Joel Yakov | Con | 13,898 | 14,953.9 | |
1-Saks, Ya'ara | Lib | 17,421 | 18,412.5 | ✔ | ||
1-Ahmed, Kemal | NDP | 3,753 | 3,753.0 | |||
1-Nguyen, Nixon | PPC | 1,751 | 1,751.0 | |||
fptp.35119 |
This data can not be used to predict outcomes for individual candidates. | 1-Johnson, Daniella | Lib | 13,856 | 13,959.3 | |
1-Jenkins, Benjamin | NDP | 6,890 | 7,044.9 | |||
1-Davidson, Scot | Con | 23,890 | 24,095.0 | ✔ | ||
1-Lotter, Michael | PPC | 3,552 | 3,552.0 | |||
fptp.35120 |
This data can not be used to predict outcomes for individual candidates. | 1-Mohan, Sajanth | Con | 7,741 | 8,131.4 | |
1-Mire, Hawa | NDP | 6,543 | 7,599.4 | |||
1-Chiu, Sitara | PPC | 1,822 | 1,867.9 | |||
1-Ward, Nicki | Grn | 878 | 1,061.7 | |||
1-Hussen, Ahmed | Lib | 21,579 | 19,282.5 | ✔ | ||
fptp.35121 |
This data can not be used to predict outcomes for individual candidates. | 1-Shah, Rinku | Con | 5,402 | 5,966.0 | |
1-de Dovitiis, Matias | NDP | 5,066 | 6,592.1 | |||
1-Anderson, Raatib | PPC | 1,235 | 1,301.4 | |||
1-Tibbin, Unblind | Grn | 368 | 633.4 | |||
1-Nugent, Christine | M-L | 125 | 125.0 | |||
1-Sgro, Judy | Lib | 18,833 | 15,515.5 | ✔ |
Prince Edward Island
Region: R_PE
Riding ID | Composed from | Candidate | Party | Votes | Eff Votes | |
---|---|---|---|---|---|---|
fptp.11001 |
This data can not be used to predict outcomes for individual candidates. | 1-Phelan, Wayne | Con | 6,817 | 6,847.1 | |
1-Thiele, Lynne | NDP | 2,078 | 2,159.4 | |||
1-MacLean, Michael | Grn | 1,064 | 1,078.2 | |||
1-Hardy, Kevin | PPC | 715 | 718.5 | |||
1-MacLeod, Fred | CHP | 145 | 145.0 | |||
1-MacAulay, Lawrence | Lib | 11,175 | 10,998.0 | ✔ | ||
fptp.11002 |
This data can not be used to predict outcomes for individual candidates. | 1-Currie, Doug | Con | 5,932 | 6,588.3 | |
1-Casey, Sean | Lib | 8,919 | 9,551.0 | ✔ | ||
1-Andrade, Margaret | NDP | 2,048 | 2,451.0 | |||
1-Lanthier, Darcie | Grn | 1,832 | 1,832.0 | |||
1-McPhee, Scott | PPC | 369 | 369.0 | |||
fptp.11003 |
This data can not be used to predict outcomes for individual candidates. | 1-Balsom, Barry | Con | 6,088 | 6,791.9 | |
1-Morrissey, Bobby | Lib | 9,050 | 9,786.5 | ✔ | ||
1-Clark, Alex | Grn | 1,771 | 2,074.8 | |||
1-Bradshaw, Lisa | NDP | 1,688 | 1,688.0 | |||
1-Biggar, Wayne | PPC | 974 | 974.0 | |||
fptp.11004 |
This data can not be used to predict outcomes for individual candidates. | 1-MacDonald, Heath | Lib | 9,812 | 11,804.5 | ✔ |
1-Sanderson, Jody | Con | 7,836 | 8,565.6 | |||
1-Keenan, Anna | Grn | 3,381 | 3,722.6 | |||
1-Neill, Michelle | NDP | 1,898 | 1,898.0 | |||
1-Landry, Christopher | PPC | 680 | 680.0 |
Quebec
Region: R_QC
Riding ID | Composed from | Candidate | Party | Votes | Eff Votes | |
---|---|---|---|---|---|---|
fptp.24001 |
This data can not be used to predict outcomes for individual candidates. | 1-Bérubé, Sylvie | Bloc | 10,768 | 11,404.8 | ✔ |
1-Kistabish, Lise | Lib | 7,324 | 9,353.4 | |||
1-Corriveau, Steve | Con | 4,500 | 5,266.5 | |||
1-Lameboy, Pauline | NDP | 3,307 | 3,403.4 | |||
1-Cloutier, Michaël | PPC | 1,077 | 1,077.0 | |||
1-Brazeau, Cédric | Oth | 589 | 913.0 | |||
1-Pilon, Didier | Grn | 438 | 438.0 | |||
1-Levesque, Jimmy | Oth | 324 | 324.0 | |||
fptp.24002 |
This data can not be used to predict outcomes for individual candidates. | 1-Legault-Lacasse, William | Lib | 11,013 | 11,070.8 | |
1-Gonzalez Venegas, Luis Henry | Con | 5,339 | 5,405.5 | |||
1-Stewart, Bethany | NDP | 2,776 | 2,804.9 | |||
1-Lacroix, Eric | PPC | 1,536 | 1,536.0 | |||
1-Goulet, Dany | Oth | 857 | 857.0 | |||
1-Chartrand, Martin | Grn | 748 | 788.5 | |||
1-Lirette, Joël | Oth | 276 | 276.0 | |||
1-Lemire, Sébastien | Bloc | 23,125 | 22,836.0 | ✔ | ||
fptp.24003 |
This data can not be used to predict outcomes for individual candidates. | 1-Simonyan, Anna | Bloc | 11,115 | 11,138.7 | |
1-Chaabi, Ghada | NDP | 5,836 | 6,381.6 | |||
1-Duarte, Steven | Con | 4,249 | 4,450.6 | |||
1-Joli-Coeur, Luc | Grn | 1,511 | 1,605.9 | |||
1-Chevalier, Manon | PPC | 1,315 | 1,338.7 | |||
1-Joly, Mélanie | Lib | 26,400 | 25,214.0 | ✔ | ||
fptp.24004 |
This data can not be used to predict outcomes for individual candidates. | 1-Dion, Isabel | Bloc | 13,399 | 13,636.2 | |
1-D'Anello, Angiolino | Con | 6,988 | 7,673.2 | |||
1-Iacono, Angelo | Lib | 24,516 | 25,629.0 | ✔ | ||
1-Mercer, Cindy | NDP | 3,946 | 4,152.8 | |||
1-Cappelletti, Dwayne | Oth | 1,467 | 1,467.0 | |||
1-Corneillet, Pierre-Alexandre | Grn | 940 | 940.0 | |||
fptp.24005 |
This data can not be used to predict outcomes for individual candidates. | 1-Lauzon, Stéphane | Lib | 19,366 | 25,294.1 | ✔ |
1-Destroismaisons, Yves | Bloc | 17,834 | 18,368.8 | |||
1-Louis-Seize, Marie | Con | 6,549 | 7,784.7 | |||
1-Welt, Michel | NDP | 3,385 | 3,385.0 | |||
1-Vachon, Marc | PPC | 2,765 | 2,765.0 | |||
1-Lynes, Paul | Oth | 746 | 746.0 | |||
fptp.24006 |
This data can not be used to predict outcomes for individual candidates. | 1-Savoie, Louis-Éric | Lib | 7,095 | 7,740.1 | |
1-Dumas, Germain | Con | 2,912 | 3,653.9 | |||
1-Marchand, Christel | NDP | 1,521 | 1,843.6 | |||
1-Barnabé, Eric | PPC | 969 | 969.0 | |||
1-Gendron, Mélanie | Oth | 826 | 826.0 | |||
1-Michaud, Kristina | Bloc | 19,776 | 16,550.5 | ✔ | ||
fptp.24007 |
This data can not be used to predict outcomes for individual candidates. | 1-Bernier, Maxime | PPC | 10,347 | 10,629.0 | |
1-Thibodeau, Solange | Bloc | 8,606 | 8,906.1 | |||
1-Lehoux, Richard | Con | 27,488 | 28,431.5 | ✔ | ||
1-Langlois, Philippe-Alexandre | Lib | 6,992 | 7,749.9 | |||
1-Jacques-Côté, François | NDP | 1,637 | 1,743.9 | |||
1-Giguère, Chantale | Oth | 1,099 | 1,305.0 | |||
1-Wisniowski, Andrzej | Grn | 486 | 486.0 | |||
1-Tanguay, Sébastien | Oth | 206 | 206.0 | |||
fptp.24008 |
This data can not be used to predict outcomes for individual candidates. | 1-Clarke, Alupa | Con | 14,092 | 20,899.2 | ✔ |
1-Vignola, Julie | Bloc | 15,116 | 15,675.4 | |||
1-Gingras, Ann | Lib | 12,355 | 14,591.4 | |||
1-Garon, Camille Esther | NDP | 5,055 | 5,292.2 | |||
1-Elhak, Dalila | Grn | 1,078 | 1,078.0 | |||
1-Verret, Lyne | Oth | 737 | 737.0 | |||
1-Moreau, Claude | M-L | 119 | 119.0 | |||
fptp.24009 |
This data can not be used to predict outcomes for individual candidates. | 1-Rochefort, Nathalie | Lib | 8,451 | 8,931.6 | |
1-Caisse, Yanick | Con | 8,404 | 8,956.7 | |||
1-Gauvin, Catherine | NDP | 2,531 | 2,771.3 | |||
1-Pettersen, Eric | PPC | 1,224 | 1,224.0 | |||
1-Blanchette, André | Oth | 1,215 | 1,215.0 | |||
1-Turcotte, David | Grn | 770 | 1,106.4 | |||
1-Plamondon, Louis | Bloc | 27,403 | 25,000.0 | ✔ | ||
fptp.24010 |
This data can not be used to predict outcomes for individual candidates. | 1-Richard, Marie-Christine | Bloc | 14,670 | 14,709.2 | |
1-Vaillancourt, Daniel | Lib | 10,075 | 10,153.5 | |||
1-Gagnon Gauthier, Marie-Philippe | NDP | 3,183 | 3,300.7 | |||
1-Arcand, Raymond | Oth | 1,802 | 1,802.0 | |||
1-Lefebvre, Hélène | Grn | 913 | 978.4 | |||
1-Khuon, Chamroeun | Ind | 306 | 306.0 | |||
1-Vien, Dominique | Con | 32,259 | 31,605.0 | ✔ | ||
fptp.24011 |
This data can not be used to predict outcomes for individual candidates. | 1-Hamel, Marie-Chantal | Lib | 15,460 | 15,864.7 | |
1-Robichaud, Stéphane | Con | 5,622 | 6,087.4 | |||
1-Béliveau, Marie-Josée | NDP | 5,525 | 5,727.4 | |||
1-Ejov, Danila | PPC | 1,344 | 1,344.0 | |||
1-Gélinas Larrain, Fabrice | Grn | 1,294 | 1,577.3 | |||
1-Grimard, Mario | Oth | 845 | 845.0 | |||
1-Vachon, Benjamin | Oth | 191 | 191.0 | |||
1-Thibault-Vincent, Thomas | Oth | 185 | 185.0 | |||
1-Blondin, Michel | Oth | 163 | 163.0 | |||
1-Blanchet, Yves-François | Bloc | 34,678 | 32,654.5 | ✔ | ||
fptp.24012 |
This data can not be used to predict outcomes for individual candidates. | 1-Brosseau, Ruth Ellen | NDP | 18,351 | 25,905.6 | ✔ |
1-Perron, Yves | Bloc | 19,339 | 19,996.6 | |||
1-Bellemare, Alexandre | Lib | 8,403 | 9,270.6 | |||
1-Soulières, Léo | Con | 6,007 | 6,499.6 | |||
1-Sénécal, Geneviève | PPC | 1,496 | 1,496.0 | |||
1-Brown, Denis | Oth | 531 | 730.0 | |||
1-Requilé, Laurence | Grn | 548 | 548.0 | |||
1-Lamirande, Steven | Oth | 199 | 199.0 | |||
fptp.24013 |
This data can not be used to predict outcomes for individual candidates. | 1-Chabot, Louise | Bloc | 21,520 | 22,576.8 | ✔ |
1-Ayoub, Ramez | Lib | 18,398 | 20,945.1 | |||
1-Bissonnette, Marc | Con | 5,752 | 6,734.8 | |||
1-Soumaoro, Julienne | NDP | 3,816 | 4,040.4 | |||
1-Aubé, Vincent | PPC | 1,388 | 1,388.0 | |||
1-Paré-Poupart, Simon | Grn | 1,020 | 1,020.0 | |||
1-Tassignon, Peggy | Oth | 367 | 367.0 | |||
fptp.24014 |
This data can not be used to predict outcomes for individual candidates. | 1-Girard, Louis-Gabriel | Lib | 14,279 | 14,752.4 | |
1-Painchaud, Jérôme | Con | 4,872 | 5,416.4 | |||
1-Leprohon, Martin | NDP | 4,231 | 4,467.7 | |||
1-Blais, Alexandre | PPC | 1,112 | 1,112.0 | |||
1-Boisvert, Carole | Oth | 779 | 779.0 | |||
1-Barsalou-Duval, Xavier | Bloc | 30,009 | 27,642.0 | ✔ | ||
fptp.24015 |
This data can not be used to predict outcomes for individual candidates. | 1-Dia, Ardo | Bloc | 6,907 | 6,980.9 | |
1-Ponari, Nicholas | NDP | 2,928 | 4,628.2 | |||
1-Sykes, Ilyasa | Con | 2,587 | 3,215.3 | |||
1-Lavoie, Michel | PPC | 1,349 | 1,422.9 | |||
1-Perrone, Nathe | Grn | 687 | 982.7 | |||
1-Prairie, Michel | Ind | 151 | 151.0 | |||
1-Dubourg, Emmanuel | Lib | 22,003 | 18,307.0 | ✔ | ||
fptp.24016 |
This data can not be used to predict outcomes for individual candidates. | 1-St-Onge, Pascale | Lib | 21,474 | 29,119.6 | ✔ |
1-Alarie, Marilou | Bloc | 21,288 | 22,261.1 | |||
1-Duhamel, Vincent | Con | 9,961 | 11,170.8 | |||
1-Panton, Andrew | NDP | 3,827 | 4,149.5 | |||
1-Stogowski, Alexis | PPC | 1,982 | 1,982.0 | |||
1-Corcos, Michelle | Grn | 1,466 | 1,466.0 | |||
1-Richard, Maryse | Oth | 961 | 1,177.0 | |||
1-Cotton, Lawrence | Oth | 216 | 216.0 | |||
1-Desjardins, Dany | Ind | 145 | 145.0 | |||
1-Lefebvre, Susanne | CHP | 133 | 133.0 | |||
fptp.24017 |
This data can not be used to predict outcomes for individual candidates. | 1-Desgagné, Marie-Laurence | Bloc | 10,640 | 10,682.8 | |
1-Alves, Marcos | Con | 6,308 | 6,671.9 | |||
1-Audet, Marc | NDP | 5,517 | 6,501.6 | |||
1-Ross, Brenda | PPC | 1,290 | 1,332.8 | |||
1-Hu, Engineer-Ingénieur | Oth | 593 | 593.0 | |||
1-Mendès, Alexandra | Lib | 28,631 | 26,490.5 | ✔ | ||
fptp.24018 |
This data can not be used to predict outcomes for individual candidates. | 1-Lajoie, Léonie | Lib | 10,437 | 12,201.9 | |
1-Blanchette-Joncas, Maxime | Bloc | 20,653 | 21,046.0 | ✔ | ||
1-Gagnon, France | Con | 5,569 | 6,095.1 | |||
1-Lajoie, Sylvain | NDP | 2,637 | 2,637.0 | |||
1-Bureau-Civil, Noémi | Ind | 1,471 | 1,471.0 | |||
1-Tardy, Jean | PPC | 699 | 699.0 | |||
1-Raymond, Michel | Oth | 432 | 624.0 | |||
1-Hodges, Megan | Oth | 192 | 192.0 | |||
fptp.24019 |
This data can not be used to predict outcomes for individual candidates. | 1-Paul-Hus, Pierre | Con | 25,633 | 28,820.0 | ✔ |
1-Lamontagne, Marie-Christine | Bloc | 14,407 | 14,886.0 | |||
1-Coly, René-Paul | Lib | 11,416 | 12,998.9 | |||
1-Lacroix, Michel Marc | NDP | 3,446 | 3,659.8 | |||
1-Cyr, Wayne | PPC | 1,296 | 1,296.0 | |||
1-Palardy-Dion, Jacques | Grn | 972 | 972.0 | |||
1-Pelletier, Daniel | Oth | 468 | 468.0 | |||
fptp.24020 |
This data can not be used to predict outcomes for individual candidates. | 1-Desbiens, Caroline | Bloc | 19,212 | 20,705.2 | ✔ |
1-Laprise, Véronique | Con | 15,826 | 18,374.7 | |||
1-Bernier, Alexandra | Lib | 10,296 | 11,358.2 | |||
1-Du Verle, Frédéric | NDP | 2,239 | 2,408.2 | |||
1-Lefrançois, Jenniefer | PPC | 891 | 891.0 | |||
1-Amyot, Frédéric | Grn | 769 | 769.0 | |||
1-Laplante, Chantal | Oth | 448 | 448.0 | |||
1-Lépine, Vicky | Ind | 236 | 236.0 | |||
fptp.24021 |
This data can not be used to predict outcomes for individual candidates. | 1-Shanahan, Brenda | Lib | 17,762 | 24,149.7 | ✔ |
1-O'Hara, Patrick | Bloc | 18,368 | 18,974.2 | |||
1-Bournaki, Pierre | Con | 5,534 | 6,671.2 | |||
1-Wolker, Hannah | NDP | 4,089 | 4,265.9 | |||
1-Benoit, Jeff | PPC | 1,870 | 1,870.0 | |||
1-Olivier, Frédéric | Grn | 804 | 804.0 | |||
1-Lafrance, André | Oth | 449 | 744.0 | |||
1-Gagnon, Marc | Oth | 295 | 295.0 | |||
fptp.24022 |
This data can not be used to predict outcomes for individual candidates. | 1-Martel, Richard | Con | 17,291 | 21,113.0 | ✔ |
1-Bouchard, Julie | Bloc | 14,096 | 14,383.1 | |||
1-Duplain, Jean | Lib | 7,746 | 8,627.5 | |||
1-Raymond, Ismaël | NDP | 1,952 | 2,059.6 | |||
1-Voyer, Jimmy | PPC | 650 | 650.0 | |||
1-Laporte, Yves | Grn | 489 | 489.0 | |||
fptp.24023 |
This data can not be used to predict outcomes for individual candidates. | 1-Bibeau, Marie-Claude | Lib | 21,188 | 28,368.5 | ✔ |
1-Bresse, Nathalie | Bloc | 17,688 | 18,710.0 | |||
1-Tremblay, Pierre | Con | 10,087 | 11,423.3 | |||
1-Allen, Geneva | NDP | 4,277 | 4,634.7 | |||
1-Bourassa, Yves | PPC | 2,167 | 2,167.0 | |||
1-Dodier, Sylvain | Grn | 1,626 | 1,626.0 | |||
1-Gendron, Déitane | Oth | 576 | 576.0 | |||
1-Longpré, Sylvain | Ind | 187 | 187.0 | |||
fptp.24024 |
This data can not be used to predict outcomes for individual candidates. | 1-Jenneau, Cloé Rose | Bloc | 7,542 | 7,565.2 | |
1-Ngamaleu Teumeni, Fabiola | NDP | 6,241 | 6,775.3 | |||
1-Bazelais, Jude | Con | 5,754 | 5,951.5 | |||
1-Patterson, Michael | PPC | 2,020 | 2,043.2 | |||
1-Mariani, Laura | Grn | 1,351 | 1,443.9 | |||
1-Dhillon, Anju | Lib | 25,233 | 24,071.5 | ✔ | ||
fptp.24025 |
This data can not be used to predict outcomes for individual candidates. | 1-Champoux, Martin | Bloc | 23,819 | 24,785.2 | ✔ |
1-Berri, Mustapha | Lib | 9,614 | 13,028.3 | |||
1-Clermont, Nathalie | Con | 9,166 | 9,852.8 | |||
1-Choquette, François | NDP | 5,723 | 5,723.0 | |||
1-Joyal, Josée | Oth | 1,732 | 2,825.0 | |||
1-Munger, Lucas | Oth | 674 | 883.5 | |||
1-Marcoux, Sylvain | Oth | 419 | 419.0 | |||
fptp.24026 |
This data can not be used to predict outcomes for individual candidates. | 1-Lebouthillier, Diane | Lib | 17,097 | 18,418.5 | ✔ |
1-Bernatchez, Guy | Bloc | 14,480 | 14,707.9 | |||
1-Pigeon, Jean-Pierre | Con | 2,996 | 3,345.4 | |||
1-Phung, Lisa | NDP | 1,359 | 1,359.0 | |||
1-Rioux, Christian | PPC | 621 | 621.0 | |||
1-Leduc, Monique | Oth | 282 | 282.0 | |||
fptp.24027 |
This data can not be used to predict outcomes for individual candidates. | 1-Nadeau, Geneviève | Bloc | 12,236 | 12,354.3 | |
1-Bernard, Joel E. | Con | 5,708 | 5,780.1 | |||
1-Rengel, Fernanda | NDP | 4,501 | 4,698.8 | |||
1-Saint-Jean, Mathieu | PPC | 2,279 | 2,280.1 | |||
1-MacKinnon, Steven | Lib | 26,162 | 26,230.5 | ✔ | ||
1-Jemmah, Rachid | Grn | 781 | 781.0 | |||
1-Lavoie, Luc | Oth | 548 | 728.0 | |||
1-Grenier, Sébastien | Oth | 180 | 180.0 | |||
1-Soublière, Pierre | M-L | 64 | 64.0 | |||
fptp.24028 |
This data can not be used to predict outcomes for individual candidates. | 1-Martinez Ferrada, Soraya | Lib | 17,953 | 23,611.5 | ✔ |
1-Marchand, Simon | Bloc | 14,866 | 15,373.3 | |||
1-Roy-Goyette, Catheryn | NDP | 9,751 | 10,426.8 | |||
1-Calle Cabrera, Aime | Con | 2,186 | 2,583.6 | |||
1-Doucet-Beauchamp, Marc-André | PPC | 1,070 | 1,070.0 | |||
1-Lavarenne, Zachary | Grn | 958 | 958.0 | |||
1-Smithee, Alan | Oth | 237 | 237.0 | |||
1-Paquette, Michelle | Com | 118 | 118.0 | |||
1-Dandenault, Christine | M-L | 82 | 82.0 | |||
fptp.24029 |
This data can not be used to predict outcomes for individual candidates. | 1-Lévesque-Marin, Charlotte | Bloc | 7,908 | 8,004.7 | |
1-Croteau, Guy | Con | 5,096 | 5,917.8 | |||
1-Ayala, Paulina | NDP | 3,537 | 5,760.6 | |||
1-Miranda, Lucilia | PPC | 2,023 | 2,119.7 | |||
1-Deltorto-Russell, Bianca | Grn | 738 | 1,124.7 | |||
1-Le Seigle, Yves | M-L | 89 | 89.0 | |||
1-Rodriguez, Pablo | Lib | 29,061 | 24,227.0 | ✔ | ||
fptp.24030 |
This data can not be used to predict outcomes for individual candidates. | 1-Provost, Simon | Bloc | 8,259 | 8,284.5 | |
1-Gendron, Samuel | NDP | 6,486 | 7,072.3 | |||
1-Perion, Sandrine | Con | 5,514 | 5,730.7 | |||
1-Fleury, Eric | PPC | 1,873 | 1,898.5 | |||
1-Gnocchini-Messier, Simon | Grn | 1,461 | 1,563.0 | |||
1-Lafleur, Josée | Oth | 378 | 378.0 | |||
1-LeBlanc, Mike | Oth | 227 | 227.0 | |||
1-Dickins, Catherine | Ind | 144 | 144.0 | |||
1-Fergus, Greg | Lib | 26,893 | 25,618.5 | ✔ | ||
fptp.24031 |
This data can not be used to predict outcomes for individual candidates. | 1-Bourgeois, Michel | Lib | 12,731 | 13,293.6 | |
1-Materne, Roger | Con | 5,314 | 5,961.0 | |||
1-Beaudet, Alexis | NDP | 3,100 | 3,381.3 | |||
1-Leclerc, Maxime | PPC | 1,771 | 1,771.0 | |||
1-Poirier, Érica | Grn | 1,126 | 1,519.8 | |||
1-Coutu, Manon | Oth | 992 | 992.0 | |||
1-Théoret, Yanick | Oth | 251 | 251.0 | |||
1-Ste-Marie, Gabriel | Bloc | 30,913 | 28,100.0 | ✔ | ||
fptp.24032 |
This data can not be used to predict outcomes for individual candidates. | 1-Simard, Mario | Bloc | 19,036 | 20,350.6 | ✔ |
1-Gravel, Louise | Con | 13,323 | 15,542.2 | |||
1-Bégin, Stéphane | Lib | 9,529 | 10,735.6 | |||
1-Ruel, Marieve | NDP | 2,625 | 2,788.7 | |||
1-Yelle, Marie-Josée | Grn | 744 | 744.0 | |||
1-Bélanger, Line | Oth | 372 | 372.0 | |||
fptp.24033 |
This data can not be used to predict outcomes for individual candidates. | 1-Beaulieu, Mario | Bloc | 23,835 | 24,567.3 | ✔ |
1-Fadeu, Jonas | Lib | 16,480 | 19,212.7 | |||
1-Vallerand, Alexandre | NDP | 5,124 | 5,818.9 | |||
1-Anania, Massimo | Con | 3,441 | 3,860.7 | |||
1-Desclin, Jonathan | PPC | 1,399 | 1,399.0 | |||
1-Falquet, Agnès | Oth | 605 | 826.0 | |||
1-Gervais, Charles Phillippe | Oth | 221 | 221.0 | |||
1-Royer, Genevieve | M-L | 170 | 170.0 | |||
fptp.24034 |
This data can not be used to predict outcomes for individual candidates. | 1-Therrien, Alain | Bloc | 25,742 | 26,866.3 | ✔ |
1-Desrochers, Caroline | Lib | 20,447 | 23,221.6 | |||
1-des Greniers, Lise | Con | 5,877 | 6,965.0 | |||
1-Hernandez, Victoria | NDP | 4,338 | 4,559.1 | |||
1-Fontaine, Ruth | PPC | 1,535 | 1,535.0 | |||
1-Joannette, Barbara | Grn | 1,005 | 1,005.0 | |||
1-Chouinard, Normand | M-L | 98 | 98.0 | |||
fptp.24035 |
This data can not be used to predict outcomes for individual candidates. | 1-Bergeron, Serge | Con | 12,788 | 12,869.0 | |
1-Étienne, Marjolaine | Lib | 9,311 | 9,381.4 | |||
1-Chambers, Mathieu | NDP | 1,723 | 1,758.2 | |||
1-Thibault, Annie | Grn | 823 | 872.3 | |||
1-Brunelle-Duceppe, Alexis | Bloc | 25,351 | 24,999.0 | ✔ | ||
fptp.24036 |
This data can not be used to predict outcomes for individual candidates. | 1-Francis, Ann | Con | 10,570 | 11,109.4 | |
1-Gray, Jonathan | NDP | 7,370 | 8,829.6 | |||
1-Lebeuf, Rémi | Bloc | 3,005 | 3,068.5 | |||
1-Kona-Mancini, Milan | Grn | 1,805 | 2,058.8 | |||
1-Lassy, Afia | PPC | 1,679 | 1,742.5 | |||
1-Scarpaleggia, Francis | Lib | 30,777 | 27,604.0 | ✔ | ||
fptp.24037 |
This data can not be used to predict outcomes for individual candidates. | 1-Guérard, Raphaël | Bloc | 10,636 | 11,327.4 | |
1-Lametti, David | Lib | 20,254 | 23,740.5 | ✔ | ||
1-De Lierre, Jason | NDP | 9,156 | 10,213.1 | |||
1-Moran, Janina | Con | 3,520 | 4,113.9 | |||
1-Walsh, Michel | PPC | 1,596 | 1,596.0 | |||
1-Carter, Sarah | Grn | 1,439 | 1,439.0 | |||
1-Antonin, Pascal | Oth | 646 | 646.0 | |||
1-Fortin, JP | Com | 232 | 232.0 | |||
fptp.24038 |
This data can not be used to predict outcomes for individual candidates. | 1-Menassa, Antoine | Lib | 15,950 | 15,956.1 | |
1-Laframboise, Kathy | Con | 6,769 | 6,776.0 | |||
1-Baland, Eric-Abel | NDP | 3,905 | 3,908.1 | |||
1-Evanko, Richard | PPC | 2,433 | 2,433.0 | |||
1-Le Comte, Michel | Grn | 1,570 | 1,574.3 | |||
1-Leclerc, Michel | Oth | 1,165 | 1,165.0 | |||
1-Sorel, Jean-Noël | Ind | 178 | 178.0 | |||
1-Gaudreau, Marie-Hélène | Bloc | 32,033 | 32,002.5 | ✔ | ||
fptp.24039 |
This data can not be used to predict outcomes for individual candidates. | 1-Guilbeault, Steven | Lib | 16,916 | 22,310.5 | ✔ |
1-Machouf, Nimâ | NDP | 14,674 | 16,153.5 | |||
1-Michel, Marie-Eve-Lyne | Bloc | 9,110 | 9,367.7 | |||
1-Reich, Ronan | Con | 1,483 | 1,790.6 | |||
1-Lavarenne, Jean-Michel | Grn | 1,002 | 1,002.0 | |||
1-Tanguay, Daniel | PPC | 758 | 758.0 | |||
1-Morin, Julie | Oth | 239 | 438.0 | |||
1-Lamontagne, Kimberly | Oth | 199 | 199.0 | |||
1-Welsh, Adrien | Com | 94 | 94.0 | |||
1-Julien, Cyril | Ind | 74 | 74.0 | |||
1-Lachapelle, Serge | M-L | 70 | 70.0 | |||
fptp.24040 |
This data can not be used to predict outcomes for individual candidates. | 1-Jolivet, Guillaume | Bloc | 9,665 | 9,887.8 | |
1-Pettas, Spyridonas | Con | 8,944 | 10,445.5 | |||
1-El-Khoury, Fayçal | Lib | 24,631 | 25,226.5 | ✔ | ||
1-Woodmass, Rowan | NDP | 3,863 | 4,038.8 | |||
1-Couture, Matthieu | PPC | 2,549 | 2,549.0 | |||
1-Taleb, Ahmed | Grn | 799 | 799.0 | |||
fptp.24041 |
This data can not be used to predict outcomes for individual candidates. | 1-Romanado, Sherry | Lib | 19,319 | 23,986.0 | ✔ |
1-Boisclair, Nathalie | Bloc | 16,959 | 17,527.1 | |||
1-Dhatsenpa, Kalden | NDP | 4,957 | 6,032.0 | |||
1-Lalonde, Isabelle | Con | 4,035 | 4,550.7 | |||
1-Olinga, Tiny | PPC | 1,409 | 1,409.0 | |||
1-Cardin, Nancy | Grn | 1,163 | 1,163.0 | |||
1-Chénier, Pierre | M-L | 128 | 128.0 | |||
fptp.24042 |
This data can not be used to predict outcomes for individual candidates. | 1-Lamarche, Samuel | Bloc | 13,739 | 13,799.2 | |
1-Daigle, Ghislain | Lib | 9,270 | 9,390.5 | |||
1-Dumont, Guylaine | NDP | 4,490 | 4,670.7 | |||
1-Simard, Benoit | PPC | 1,661 | 1,781.5 | |||
1-Bergeron, Charles-Eugène | Grn | 855 | 955.4 | |||
1-Lemay, Mariève | Oth | 548 | 548.0 | |||
1-Brochu, Carl | Oth | 95 | 95.0 | |||
1-Gourde, Jacques | Con | 32,668 | 31,664.0 | ✔ | ||
fptp.24043 |
This data can not be used to predict outcomes for individual candidates. | 1-Gagnon, Florence | Lib | 21,930 | 28,618.5 | ✔ |
1-Trudel, Denis | Bloc | 23,579 | 24,203.1 | |||
1-Murray, Mildred | NDP | 4,553 | 5,714.7 | |||
1-Tall, Boukare | Con | 3,964 | 4,499.3 | |||
1-King, Simon | Grn | 1,599 | 1,599.0 | |||
1-Girard, Manon | PPC | 1,358 | 1,358.0 | |||
1-Lafrenaye, Jacinthe | Oth | 252 | 252.0 | |||
fptp.24044 |
This data can not be used to predict outcomes for individual candidates. | 1-Lightbound, Joël | Lib | 22,933 | 29,895.5 | ✔ |
1-Dean, Marc | Bloc | 16,249 | 17,479.3 | |||
1-Lépine, Gilles | Con | 14,332 | 15,018.1 | |||
1-Nadji, Hamid | NDP | 4,324 | 4,669.8 | |||
1-Blanchette, Denis | Grn | 1,572 | 1,572.0 | |||
1-Dahan, Ali | Ind | 379 | 379.0 | |||
fptp.24045 |
This data can not be used to predict outcomes for individual candidates. | 1-Bilodeau, Thierry | Bloc | 13,069 | 13,131.9 | |
1-Morin, Nathanielle | Lib | 11,228 | 11,353.8 | |||
1-Huang, Yu-Ti Eva | NDP | 3,370 | 3,558.6 | |||
1-Côté, Guillaume | PPC | 1,337 | 1,462.8 | |||
1-Fortin, Mélanie | Oth | 1,089 | 1,089.0 | |||
1-Chicoine, Daniel | Grn | 907 | 1,011.8 | |||
1-Deltell, Gérard | Con | 33,098 | 32,050.0 | ✔ | ||
fptp.24046 |
This data can not be used to predict outcomes for individual candidates. | 1-Vigneault, Rodrigue | Con | 7,614 | 7,827.7 | |
1-Gagné, Thomas | Lib | 6,539 | 6,724.8 | |||
1-St-Jean, Nichola | NDP | 1,514 | 1,606.9 | |||
1-Girard, Bianca | Oth | 887 | 887.0 | |||
1-Gill, Marilène | Bloc | 18,414 | 17,485.0 | ✔ | ||
fptp.24047 |
This data can not be used to predict outcomes for individual candidates. | 1-Labonté, Éric | Bloc | 9,318 | 9,492.4 | |
1-Lukofsky, Adam | Lib | 6,329 | 6,677.7 | |||
1-Gagnon, Jonathan | PPC | 1,677 | 2,025.7 | |||
1-Boisvert, Mathieu | NDP | 1,308 | 1,831.1 | |||
1-Pepin, Real | Oth | 680 | 680.0 | |||
1-Hamel, Emilie | Grn | 592 | 882.6 | |||
1-Blais, Gloriane | Ind | 403 | 403.0 | |||
1-Berthold, Luc | Con | 26,121 | 23,215.0 | ✔ | ||
fptp.24048 |
This data can not be used to predict outcomes for individual candidates. | 1-Garon, Jean-Denis | Bloc | 29,293 | 30,589.6 | ✔ |
1-Loza, François | Lib | 14,847 | 18,469.1 | |||
1-Lefebvre, Catherine | Con | 8,478 | 10,044.3 | |||
1-Bourassa, Benoit | NDP | 5,305 | 5,616.3 | |||
1-Montpetit, Christian | PPC | 2,597 | 2,597.0 | |||
1-Guay, Mario | Grn | 1,415 | 1,415.0 | |||
1-Croteau, Ariane | Oth | 1,187 | 1,187.0 | |||
fptp.24049 |
This data can not be used to predict outcomes for individual candidates. | 1-Bergeron, Stéphane | Bloc | 25,972 | 26,903.5 | ✔ |
1-Pelchat, Marie-Ève | Lib | 19,942 | 22,580.3 | |||
1-Sauvageau, Julie | Con | 5,455 | 6,399.2 | |||
1-Sellah, Djaouida | NDP | 4,796 | 4,796.0 | |||
1-Hynes, Natasha | PPC | 1,229 | 1,229.0 | |||
fptp.24050 |
This data can not be used to predict outcomes for individual candidates. | 1-Qureshi, Javeria | Lib | 10,196 | 10,526.2 | |
1-Desroches, Gisèle | Con | 6,011 | 6,390.7 | |||
1-Goué, Oulai B. | NDP | 3,218 | 3,383.1 | |||
1-Beaudry, Bruno | PPC | 2,258 | 2,258.0 | |||
1-Goyette, Mathieu | Grn | 1,317 | 1,548.1 | |||
1-Bellerose, Robert | Oth | 1,074 | 1,074.0 | |||
1-Thériault, Luc | Bloc | 27,378 | 25,727.0 | ✔ | ||
fptp.24051 |
This data can not be used to predict outcomes for individual candidates. | 1-Bérubé, Simon | Bloc | 12,523 | 12,536.1 | |
1-Lapointe, François | Lib | 8,371 | 8,397.2 | |||
1-English, Sean | NDP | 1,597 | 1,636.3 | |||
1-Rochon, Nancy | Oth | 919 | 919.0 | |||
1-Mony, Thibaud | Oth | 269 | 269.0 | |||
1-Généreux, Bernard | Con | 24,118 | 23,899.5 | ✔ | ||
fptp.24052 |
This data can not be used to predict outcomes for individual candidates. | 1-Cavallaro, Frank | Con | 9,871 | 10,400.1 | |
1-El-Khoury, Ibrahim Bruno | NDP | 3,378 | 4,809.8 | |||
1-Komarov, Yegor | Bloc | 1,582 | 1,644.3 | |||
1-Badra, Clement | Grn | 1,085 | 1,334.0 | |||
1-Lozoff, Zachary | PPC | 1,053 | 1,115.3 | |||
1-Johnston, Diane | M-L | 96 | 96.0 | |||
1-Housefather, Anthony | Lib | 23,292 | 20,179.5 | ✔ | ||
fptp.24053 |
This data can not be used to predict outcomes for individual candidates. | 1-Elbourne-Weinstock, Emma | NDP | 8,753 | 9,558.9 | |
1-Kaminski, Mathew | Con | 6,407 | 6,704.8 | |||
1-Craig Larouche, Jordan | Bloc | 2,409 | 2,444.0 | |||
1-Fairbrother, Sam | Grn | 1,829 | 1,969.2 | |||
1-Freiheit, David | PPC | 1,498 | 1,533.0 | |||
1-Hoffman, Rachel | M-L | 126 | 126.0 | |||
1-Wandji, Geofryde | CHP | 65 | 65.0 | |||
1-Garneau, Marc | Lib | 24,593 | 22,841.0 | ✔ | ||
fptp.24054 |
This data can not be used to predict outcomes for individual candidates. | 1-Bendayan, Rachel | Lib | 16,442 | 18,189.5 | ✔ |
1-Péclet, Ève | NDP | 9,487 | 10,911.5 | |||
1-Grimard, Célia | Bloc | 5,491 | 5,862.6 | |||
1-Louras, Jasmine | Con | 2,848 | 3,188.1 | |||
1-Tarabey, Grace | Grn | 1,202 | 1,202.0 | |||
1-Pinto, Yehuda | PPC | 813 | 813.0 | |||
1-Joshi, Angela-Angie | Ind | 94 | 94.0 | |||
fptp.24055 |
This data can not be used to predict outcomes for individual candidates. | 1-Paré, Christine | NDP | 10,303 | 10,627.1 | |
1-Ben Youssef, Nabila | Bloc | 6,874 | 7,092.8 | |||
1-Rivera, Julio | Con | 2,203 | 2,638.9 | |||
1-Trudeau, Justin | Lib | 22,526 | 22,752.0 | ✔ | ||
1-Lepine, Alain | Grn | 1,458 | 1,458.0 | |||
1-Boutin, Christian | PPC | 1,060 | 1,060.0 | |||
1-Zako, Béatrice | Ind | 427 | 535.0 | |||
1-Znoneofthe, Above | Oth | 428 | 428.0 | |||
1-Colly, Garnet | M-L | 115 | 115.0 | |||
1-Martin, Raymond | Ind | 108 | 108.0 | |||
fptp.24056 |
This data can not be used to predict outcomes for individual candidates. | 1-Roberts, Terry | Con | 10,893 | 11,427.1 | |
1-Tumbar, Maninderjit Kaur | NDP | 6,034 | 7,479.3 | |||
1-Bourque, Nadia | Bloc | 4,141 | 4,203.8 | |||
1-Sibthorpe, Mark | PPC | 1,942 | 2,004.8 | |||
1-Zuberi, Sameer | Lib | 29,296 | 26,154.0 | ✔ | ||
fptp.24057 |
This data can not be used to predict outcomes for individual candidates. | 1-Gauthier, Michel | Con | 12,798 | 17,333.3 | |
1-Chatel, Sophie | Lib | 26,999 | 31,079.0 | ✔ | ||
1-Desjardins, Gabrielle | Bloc | 10,425 | 10,825.5 | |||
1-Giroux, Denise | NDP | 6,824 | 7,200.2 | |||
1-Gottfred, David Bruce | PPC | 2,821 | 2,821.0 | |||
1-McArthur, Shaughn | Grn | 1,710 | 1,710.0 | |||
1-Labonté-Chartrand, Geneviève | Oth | 507 | 579.0 | |||
1-McNair, James | Oth | 72 | 72.0 | |||
fptp.24058 |
This data can not be used to predict outcomes for individual candidates. | 1-Hébert, Christian | Bloc | 15,595 | 15,648.2 | |
1-Diallo, Sani | Lib | 10,068 | 10,174.4 | |||
1-Gagnon, David-Roger | NDP | 3,323 | 3,482.7 | |||
1-Mathieu, Nash | PPC | 1,709 | 1,815.4 | |||
1-Fiset, Charles | Oth | 677 | 677.0 | |||
1-Pelletier, Tommy | Oth | 490 | 490.0 | |||
1-Godin, Joël | Con | 33,638 | 32,751.0 | ✔ | ||
fptp.24059 |
This data can not be used to predict outcomes for individual candidates. | 1-Duclos, Jean-Yves | Lib | 18,121 | 25,413.3 | ✔ |
1-Sansfaçon, Louis | Bloc | 14,854 | 15,791.5 | |||
1-Boutin, Bianca | Con | 9,195 | 10,376.5 | |||
1-Bureau, Tommy | NDP | 6,666 | 6,924.7 | |||
1-Kerr, Patrick | Grn | 1,176 | 1,176.0 | |||
1-Brisson, Daniel | PPC | 855 | 855.0 | |||
1-Simard, Karine | Oth | 305 | 305.0 | |||
fptp.24060 |
This data can not be used to predict outcomes for individual candidates. | 1-Kernizan, Yvelie | Lib | 16,471 | 16,673.2 | |
1-Bapfou Vozang Siewe, Pascal | Con | 5,332 | 5,564.5 | |||
1-Mathieu Chauvette, Naomie | NDP | 4,489 | 4,590.1 | |||
1-Duval, Pierre | Oth | 2,026 | 2,026.0 | |||
1-Boucher Granger, Micheline | Oth | 516 | 516.0 | |||
1-Pauzé, Monique | Bloc | 30,858 | 29,847.0 | ✔ | ||
fptp.24061 |
This data can not be used to predict outcomes for individual candidates. | 1-Scalzo, Diego | Bloc | 14,150 | 14,175.5 | |
1-Desmarais, Alexandre | Lib | 8,543 | 8,594.0 | |||
1-Bureau, Nataël | NDP | 2,539 | 2,615.5 | |||
1-Rayes, Alain | Con | 28,253 | 28,445.5 | ✔ | ||
1-Fougeron, Nadine | PPC | 2,058 | 2,058.0 | |||
1-Richard, Louis | Oth | 898 | 1,346.0 | |||
1-Delisle, Marjolaine | Oth | 448 | 448.0 | |||
fptp.24062 |
This data can not be used to predict outcomes for individual candidates. | 1-Desilets, Luc | Bloc | 21,645 | 22,690.7 | ✔ |
1-Lapointe, Linda | Lib | 18,838 | 21,379.1 | |||
1-Duffy-Vincelette, Marc | Con | 5,479 | 6,502.2 | |||
1-Hakizimana, Joseph | NDP | 3,903 | 4,116.6 | |||
1-Roker Jr, Hans | PPC | 1,505 | 1,505.0 | |||
1-Beauséjour, Valérie | Oth | 847 | 1,124.0 | |||
1-Ware, Alec | Grn | 971 | 971.0 | |||
1-Dionne, Michael | Oth | 148 | 212.5 | |||
1-Bute, Julius | Oth | 129 | 129.0 | |||
fptp.24063 |
This data can not be used to predict outcomes for individual candidates. | 1-Bajkin, Theodora | Lib | 12,766 | 13,013.6 | |
1-Morrissette, Patricia | Con | 6,891 | 7,175.7 | |||
1-Paspaliaris, Mary-Helen | NDP | 3,950 | 4,073.8 | |||
1-Ravanshid, Keeyan | PPC | 2,165 | 2,165.0 | |||
1-Damour, Marie-Eve | Oth | 1,035 | 1,035.0 | |||
1-René, Jean-François | Oth | 374 | 374.0 | |||
1-Riqueur-Lainé, Nicolas | Oth | 282 | 282.0 | |||
1-Fortin, Rhéal | Bloc | 29,941 | 28,703.0 | ✔ | ||
fptp.24064 |
This data can not be used to predict outcomes for individual candidates. | 1-Drolet, Nancy | Lib | 12,633 | 15,992.5 | |
1-Boulerice, Alexandre | NDP | 26,726 | 27,512.0 | ✔ | ||
1-Vaithyanathasarma, Shophika | Bloc | 11,732 | 12,077.7 | |||
1-Perez Hernandez, Surelys | Con | 2,207 | 2,317.2 | |||
1-Fiori, Franco | Grn | 1,378 | 1,378.0 | |||
1-Desrochers, Gisèle | M-L | 346 | 346.0 | |||
fptp.24065 |
This data can not be used to predict outcomes for individual candidates. | 1-Robillard, Yves | Lib | 22,895 | 26,011.0 | ✔ |
1-Lacharité, Manon D. | Bloc | 16,055 | 16,570.4 | |||
1-Petrari, Sarah | Con | 6,120 | 7,106.8 | |||
1-Faour, Ali | NDP | 4,451 | 4,451.0 | |||
1-Léger, Louis | PPC | 1,509 | 1,509.0 | |||
1-Flibotte, Micheline | Oth | 990 | 990.0 | |||
fptp.24066 |
This data can not be used to predict outcomes for individual candidates. | 1-Savard-Tremblay, Simon-Pierre | Bloc | 25,191 | 26,122.9 | ✔ |
1-Boucher, Caroline-Joan | Lib | 12,030 | 15,435.9 | |||
1-Lepage, André | Con | 7,156 | 8,329.9 | |||
1-Sansoucy, Brigitte | NDP | 6,170 | 6,170.0 | |||
1-Pariseau, Sylvain | PPC | 1,445 | 1,445.0 | |||
1-Desautels, Sébastien | Oth | 1,053 | 1,053.0 | |||
fptp.24067 |
This data can not be used to predict outcomes for individual candidates. | 1-Normandin, Christine | Bloc | 27,243 | 28,408.2 | ✔ |
1-Rioux, Jean | Lib | 16,650 | 19,623.7 | |||
1-Benoit, Serge | Con | 7,544 | 8,195.2 | |||
1-Fournier, Jeremy | NDP | 4,308 | 4,585.6 | |||
1-Cléroux, Jean-Charles | Oth | 1,790 | 2,203.0 | |||
1-V. Ryan, Leigh | Grn | 1,262 | 1,262.0 | |||
1-Duteau, Pierre | Oth | 413 | 413.0 | |||
fptp.24068 |
This data can not be used to predict outcomes for individual candidates. | 1-Serour, Richard | Con | 6,902 | 7,479.8 | |
1-Devereaux, Nathan | NDP | 4,052 | 5,615.5 | |||
1-Racicot, Florence | Bloc | 2,973 | 3,041.0 | |||
1-Yablunovsky, Gregory | PPC | 1,183 | 1,251.0 | |||
1-Boutet, Ginette | M-L | 146 | 146.0 | |||
1-Lambropoulos, Emmanuella | Lib | 22,056 | 18,657.0 | ✔ | ||
fptp.24069 |
This data can not be used to predict outcomes for individual candidates. | 1-Ialenti, Louis | Con | 4,381 | 5,750.8 | |
1-Massey, Laurence | Bloc | 3,487 | 3,648.2 | |||
1-Di Tullio, Alicia | NDP | 3,460 | 7,166.5 | |||
1-Ritacca, Daniele | PPC | 1,579 | 1,740.2 | |||
1-Lattanzio, Patricia | Lib | 29,024 | 20,966.5 | ✔ | ||
fptp.24070 |
This data can not be used to predict outcomes for individual candidates. | 1-Champagne, François-Philippe | Lib | 23,913 | 28,231.5 | ✔ |
1-Bruneau, Jacynthe | Bloc | 16,942 | 17,745.1 | |||
1-Bouchard, Jacques | Con | 10,139 | 10,557.5 | |||
1-Bergeron, Valérie | NDP | 2,839 | 2,999.8 | |||
1-Rouleau, Marie Gabrielle | Oth | 1,059 | 1,656.0 | |||
1-Gaudet, Marie-Claude | Grn | 731 | 731.0 | |||
1-Beaumont Tremblay, Hugo | Oth | 307 | 452.0 | |||
1-Frazer, Dji-Pé | Oth | 290 | 290.0 | |||
1-Magnan, Alain | Ind | 241 | 241.0 | |||
fptp.24071 |
This data can not be used to predict outcomes for individual candidates. | 1-Debellefeuille, Claude | Bloc | 29,013 | 30,011.5 | ✔ |
1-Gallant, Linda | Lib | 16,545 | 19,353.0 | |||
1-Collette, Jean | Con | 7,475 | 8,680.6 | |||
1-Gottman, Joan | NDP | 4,529 | 4,529.0 | |||
1-Thivierge, Nicolas | PPC | 2,207 | 2,207.0 | |||
1-Goyette, Marcel | Oth | 561 | 1,013.0 | |||
1-Bertrand, Luc | Oth | 452 | 452.0 | |||
fptp.24072 |
This data can not be used to predict outcomes for individual candidates. | 1-Larouche, Andréanne | Bloc | 24,996 | 26,171.8 | ✔ |
1-Breton, Pierre | Lib | 19,902 | 22,401.2 | |||
1-Lalancette, Céline | Con | 7,228 | 8,343.4 | |||
1-Jasmin, Patrick | NDP | 3,173 | 3,406.2 | |||
1-Schieder, Gerda | PPC | 2,073 | 2,073.0 | |||
1-Lacroix, Joël | Oth | 599 | 1,132.0 | |||
1-Morin, Mathieu | Grn | 1,060 | 1,060.0 | |||
1-Brisebois, Yannick | Oth | 294 | 413.5 | |||
1-Beaudry-Graham, Jean-Philippe | Oth | 239 | 239.0 | |||
fptp.24073 |
This data can not be used to predict outcomes for individual candidates. | 1-Brière, Élisabeth | Lib | 21,830 | 29,088.5 | ✔ |
1-Haidar, Ensaf | Bloc | 16,848 | 17,780.4 | |||
1-Lalime, Marika | NDP | 8,097 | 9,915.1 | |||
1-Winters, Andrea | Con | 7,490 | 8,059.5 | |||
1-Berger, Marie-Clarisse | Grn | 1,670 | 1,670.0 | |||
1-Niculescu, Marcela | PPC | 1,453 | 1,453.0 | |||
1-Boivin, Maxime | Oth | 787 | 787.0 | |||
fptp.24074 |
This data can not be used to predict outcomes for individual candidates. | 1-Vadnais-Lapierre, Thierry | Bloc | 14,313 | 14,715.6 | |
1-Cox, Karen | Con | 10,566 | 11,674.0 | |||
1-Schiefke, Peter | Lib | 29,960 | 32,316.0 | ✔ | ||
1-Brake, Niklas | NDP | 6,795 | 7,155.1 | |||
1-Stiff, Cameron | Grn | 1,637 | 1,637.0 | |||
1-Destrempes, Ginette | Oth | 1,359 | 1,359.0 | |||
fptp.24075 |
This data can not be used to predict outcomes for individual candidates. | 1-Sinclair-Desgagné, Nathalie | Bloc | 24,248 | 25,291.5 | ✔ |
1-Forget, Eric | Lib | 17,474 | 20,070.8 | |||
1-Desjardins, Frédérick | Con | 6,184 | 7,220.7 | |||
1-Boudrias, Michel | Oth | 3,874 | 4,695.0 | |||
1-Mayba, Luke | NDP | 3,903 | 4,089.3 | |||
1-Stinziani, Louis | PPC | 1,594 | 1,594.0 | |||
1-Hamelin- Schuilenburg, David | Grn | 847 | 847.0 | |||
1-Fortin-Dubé, Nathan | Oth | 821 | 821.0 | |||
fptp.24076 |
This data can not be used to predict outcomes for individual candidates. | 1-Francoeur, Martin | Lib | 16,560 | 24,673.8 | ✔ |
1-Levesque, Yves | Con | 17,027 | 21,989.3 | |||
1-Villemure, René | Bloc | 17,120 | 17,333.6 | |||
1-Simidzija, Adis | NDP | 4,658 | 4,829.6 | |||
1-Landry, Jean | PPC | 1,112 | 1,112.0 | |||
1-Holman, Andrew | Grn | 780 | 780.0 | |||
1-Brodeur, Gilles | Oth | 733 | 733.0 | |||
fptp.24077 |
This data can not be used to predict outcomes for individual candidates. | 1-Thiébaut, Sophie | NDP | 9,498 | 9,609.3 | |
1-Shanahan, Steve | Con | 6,320 | 6,361.1 | |||
1-Orihuela-Bouchard, Soledad | Bloc | 6,276 | 6,280.8 | |||
1-Charbonneau-Lavictoire, Cynthia | Grn | 1,353 | 1,372.4 | |||
1-Dubé, Denise | PPC | 1,324 | 1,328.8 | |||
1-Vargas, Hans Armando | Oth | 137 | 137.0 | |||
1-Sullivan, Linda | M-L | 125 | 125.0 | |||
1-Miller, Marc | Lib | 25,519 | 25,277.0 | ✔ | ||
fptp.24078 |
This data can not be used to predict outcomes for individual candidates. | 1-Bandou, Rachid | Bloc | 11,810 | 11,939.1 | |
1-El-Helou, Rima | Con | 6,829 | 8,346.8 | |||
1-Koutrakis, Annie | Lib | 25,322 | 25,441.5 | ✔ | ||
1-Aliev, Vassif | NDP | 4,731 | 4,731.0 | |||
1-Morales-Loaiza, Alejandro | PPC | 2,189 | 2,189.0 |
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-Hansen, Erik | NDP | 3,762 | 4,813.6 | |
1-Rutherford, Ken | Oth | 2,186 | 2,186.0 | |||
1-Sieben, Terry | PPC | 1,859 | 2,560.0 | |||
1-Ingram, Larry | Lib | 1,779 | 2,480.0 | |||
1-Wall, Kerri | Grn | 239 | 823.2 | |||
1-Falk, Rosemarie | Con | 21,511 | 15,669.0 | ✔ | ||
fptp.47002 |
This data can not be used to predict outcomes for individual candidates. | 1-McPhee, Alex | NDP | 3,390 | 4,698.8 | |
1-Hislop, Charles Reginald | PPC | 2,808 | 3,680.5 | |||
1-Hird, Mackenzie | Lib | 1,402 | 2,274.5 | |||
1-Skagen, Mark | Oth | 1,286 | 1,286.0 | |||
1-Vandale, Carol | Grn | 273 | 1,000.1 | |||
1-Lewans, Maria Rose | Ind | 187 | 187.0 | |||
1-Patzer, Jeremy | Con | 23,890 | 16,619.0 | ✔ | ||
fptp.47003 |
This data can not be used to predict outcomes for individual candidates. | 1-Belanger, Buckley | Lib | 5,533 | 5,570.5 | |
1-King, Harmonie | NDP | 3,628 | 3,679.9 | |||
1-Vidal, Gary | Con | 10,036 | 10,328.0 | ✔ | ||
1-Reddekopp, Dezirae | PPC | 1,002 | 1,002.0 | |||
1-King, Stephen | Ind | 240 | 240.0 | |||
1-Chalifoux, Nasser Dean | Grn | 215 | 215.0 | |||
fptp.47004 |
This data can not be used to predict outcomes for individual candidates. | 1-O'Toole, Shannon | NDP | 5,626 | 6,980.6 | |
1-Bohach, Micheal | PPC | 3,886 | 4,789.1 | |||
1-Andruschak, Harrison | Lib | 2,063 | 2,966.1 | |||
1-Pastoor, Diane | Oth | 1,056 | 1,056.0 | |||
1-Reemaul, Cherese | Grn | 384 | 1,136.6 | |||
1-Block, Kelly | Con | 28,068 | 20,542.5 | ✔ | ||
fptp.47005 |
This data can not be used to predict outcomes for individual candidates. | 1-Regent, Talon | NDP | 7,975 | 8,744.7 | |
1-Craik, Chey | PPC | 4,712 | 5,225.1 | |||
1-Zimmer, Katelyn | Lib | 2,526 | 3,039.1 | |||
1-Townsend, David Craig | Oth | 664 | 664.0 | |||
1-Hunter, Isaiah | Grn | 438 | 865.6 | |||
1-Tolmie, Fraser | Con | 24,869 | 20,593.0 | ✔ | ||
fptp.47006 |
This data can not be used to predict outcomes for individual candidates. | 1-MacDougall, Ken | NDP | 5,214 | 6,132.3 | |
1-Hjertaas, Estelle | Lib | 3,653 | 4,265.2 | |||
1-McCrea, Joseph | PPC | 2,438 | 3,050.2 | |||
1-Schmitt, Heather | Oth | 466 | 466.0 | |||
1-Graham, Hamish | Grn | 364 | 874.2 | |||
1-Hoback, Randy | Con | 22,340 | 17,238.5 | ✔ | ||
fptp.47007 |
This data can not be used to predict outcomes for individual candidates. | 1-Donaldson, Tria | NDP | 15,719 | 18,818.1 | |
1-Steinley, Warren | Con | 21,376 | 22,796.5 | ✔ | ||
1-Cameron, Susan | Lib | 6,301 | 6,390.6 | |||
1-Kletchko, Roderick | PPC | 1,635 | 1,635.0 | |||
1-Wright, Michael | Grn | 560 | 560.0 | |||
fptp.47008 |
This data can not be used to predict outcomes for individual candidates. | 1-Bos, Annaliese | NDP | 6,883 | 7,586.1 | |
1-Melanson, Cecilia | Lib | 3,324 | 3,792.7 | |||
1-Yubeta, Andrew | PPC | 1,678 | 2,146.7 | |||
1-Hunter, Naomi | Grn | 701 | 1,091.6 | |||
1-Scheer, Andrew | Con | 20,400 | 16,494.0 | ✔ | ||
fptp.47009 |
This data can not be used to predict outcomes for individual candidates. | 1-McEachern, Sean | Lib | 10,390 | 10,539.3 | |
1-Hidlebaugh, Erin | NDP | 6,981 | 7,192.2 | |||
1-Kram, Michael | Con | 19,247 | 19,302.0 | ✔ | ||
1-Milanovski, Mario | PPC | 1,352 | 1,352.0 | |||
1-Lau, Victor | Grn | 632 | 632.0 | |||
fptp.47010 |
This data can not be used to predict outcomes for individual candidates. | 1-Kitzul, Kyla | NDP | 13,731 | 13,857.7 | |
1-Sarwar, Rokhan | Lib | 6,482 | 6,573.9 | |||
1-Friesen, Mark | PPC | 2,111 | 2,113.9 | |||
1-Waugh, Kevin | Con | 22,842 | 22,862.0 | ✔ | ||
1-Walker, Gillian | Grn | 556 | 556.0 | |||
fptp.47011 |
This data can not be used to predict outcomes for individual candidates. | 1-Card, Claire | NDP | 15,042 | 17,367.2 | |
1-Tochor, Corey | Con | 20,384 | 21,254.5 | ✔ | ||
1-Dumont Walker, Dawn | Lib | 4,608 | 4,672.0 | |||
1-Penteado, Guto | PPC | 1,778 | 1,778.0 | |||
1-Hunter, North-Marie | Grn | 400 | 400.0 | |||
1-Wesolowski, Carl A | CHP | 195 | 195.0 | |||
1-Fisher, Jeremy | Com | 100 | 100.0 | |||
fptp.47012 |
This data can not be used to predict outcomes for individual candidates. | 1-Redekopp, Brad | Con | 15,379 | 16,924.0 | ✔ |
1-Doucette, Robert | NDP | 13,268 | 14,650.7 | |||
1-Rajakumar, Ruben | Lib | 2,778 | 2,835.1 | |||
1-Boychuk, Kevin | PPC | 2,064 | 2,064.0 | |||
1-Greenfield, Dave | Grn | 357 | 357.0 | |||
fptp.47013 |
This data can not be used to predict outcomes for individual candidates. | 1-Neufeld, Diane | PPC | 3,594 | 4,841.7 | |
1-Duerr, Hannah Ann | NDP | 3,155 | 5,026.6 | |||
1-Ames-Sinclair, Javin | Lib | 1,663 | 2,910.7 | |||
1-Douglas, Greg | Oth | 991 | 991.0 | |||
1-Kitchen, Robert | Con | 30,200 | 19,802.5 | ✔ | ||
fptp.47014 |
This data can not be used to predict outcomes for individual candidates. | 1-Rust, Halsten David | NDP | 4,237 | 5,403.9 | |
1-Robertson, Braden | PPC | 3,247 | 4,024.9 | |||
1-Ames-Sinclair, Jordan | Lib | 2,183 | 2,960.9 | |||
1-Brooks, Valerie | Grn | 615 | 1,263.3 | |||
1-Loucks, Denise | Oth | 601 | 601.0 | |||
1-Wagantall, Cathay | Con | 23,850 | 17,367.5 | ✔ |
Yukon Territories
Region: R_YT
Riding ID | Composed from | Candidate | Party | Votes | Eff Votes | |
---|---|---|---|---|---|---|
fptp.60001 |
This data can not be used to predict outcomes for individual candidates. | 1-Hanley, Brendan | Lib | 6,471 | 9,080.9 | ✔ |
1-Dunlop, Barbara | Con | 5,096 | 5,716.3 | |||
1-Vollans-Leduc, Lisa | NDP | 4,354 | 4,556.2 | |||
1-Smith, Jonas Jacot | Ind | 2,639 | 2,639.0 | |||
1-Morris, Lenore | Grn | 919 | 919.0 |