Riding Results for Alternative Vote-1999 (1999 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
Ontario
Region: R_ON
Riding ID | Composed from | Candidate | Party | Votes | Eff Votes | |
---|---|---|---|---|---|---|
ON-1 |
This data can not be used to predict outcomes for individual candidates. | 1-MIKE BROWN | Lib | 14,299 | 16,061.5 | ✔ |
1-LYNN WATSON | NDP | 8,780 | 10,331.1 | |||
1-KEITH CURRIE | Con | 8,617 | 8,617.0 | |||
1-GRAHAM HEARN | Lbt | 425 | 425.0 | |||
ON-2 |
This data can not be used to predict outcomes for individual candidates. | 1-MAURA BOLGER | Lib | 15,376 | 16,263.9 | |
1-JIM BROOKER | NDP | 2,532 | 3,863.8 | |||
1-W. TRACOGNA | Ind | 482 | 482.0 | |||
1-RUDY COUTURE | Ind | 302 | 302.0 | |||
1-MITCHELL HIBBS | NLP | 229 | 229.0 | |||
1-JOE TASCONA | Con | 33,721 | 26,322.0 | ✔ | ||
ON-3 |
This data can not be used to predict outcomes for individual candidates. | 1-JUDY BURNS | Con | 12,776 | 14,729.2 | |
1-FRANCES LANKIN | NDP | 19,703 | 21,451.0 | ✔ | ||
1-BILL BUCKINGHAM | Lib | 9,332 | 9,401.0 | |||
1-MICHAEL SCHULMAN | Grn | 431 | 431.0 | |||
1-DAN LARGY | FCP | 264 | 264.0 | |||
1-DONALDA FREDEEN | NLP | 230 | 230.0 | |||
1-STEVE RUTCHINSKI | Ind | 164 | 164.0 | |||
ON-4 |
This data can not be used to predict outcomes for individual candidates. | 1-DAVE TOOR | Lib | 14,492 | 15,355.6 | |
1-ROY WILLIS | Ind | 2,206 | 2,206.0 | |||
1-RAMINDER GILL | Con | 18,442 | 18,673.0 | ✔ | ||
1-VISHNU ROCHE | NDP | 2,204 | 2,204.0 | |||
ON-5 |
This data can not be used to predict outcomes for individual candidates. | 1-GURJIT GREWAL | Lib | 9,994 | 10,326.8 | |
1-PAUL SCHMIDT | NDP | 5,080 | 5,579.2 | |||
1-JOE SPINA | Con | 20,623 | 17,849.5 | ✔ | ||
ON-6 |
This data can not be used to predict outcomes for individual candidates. | 1-VIC DHILLON | Lib | 16,599 | 16,912.9 | |
1-JOHN DEVRIES | NDP | 2,824 | 3,294.9 | |||
1-MEI SZE VIAU | NLP | 252 | 252.0 | |||
1-TONY CLEMENT | Con | 24,909 | 22,293.0 | ✔ | ||
ON-7 |
This data can not be used to predict outcomes for individual candidates. | 1-DAVE LEVAC | Lib | 21,166 | 22,528.0 | ✔ |
1-ALAYNE SOKOLOSKI | Con | 20,210 | 20,556.7 | |||
1-DAVID SHARPE | NDP | 2,889 | 2,889.0 | |||
1-GRAHAM MCRAE | Ind | 495 | 495.0 | |||
1-ELEANOR HYODO | NLP | 294 | 294.0 | |||
ON-8 |
This data can not be used to predict outcomes for individual candidates. | 1-RITA SMITH | Con | 9,554 | 11,562.1 | |
1-MARILYN CHURLEY | NDP | 18,150 | 19,343.5 | ✔ | ||
1-JULIE MORRIS | Lib | 9,553 | 9,553.0 | |||
1-BOB HYMAN | NLP | 565 | 565.0 | |||
1-MELANIE CISHECKI | Ind | 543 | 543.0 | |||
1-TONY IERACI | FCP | 320 | 320.0 | |||
ON-9 |
This data can not be used to predict outcomes for individual candidates. | 1-RUTH LOVELL | Lib | 16,139 | 16,384.1 | |
1-COLLEEN PURDON | NDP | 2,776 | 3,143.7 | |||
1-JOHN CLARK | FCP | 1,540 | 1,540.0 | |||
1-GRANT PATTULLO | Grn | 373 | 577.3 | |||
1-BILL MURDOCH | Con | 24,915 | 22,872.5 | ✔ | ||
ON-10 |
This data can not be used to predict outcomes for individual candidates. | 1-LINDA GLOVER | Lib | 14,220 | 14,928.1 | |
1-DANNY DUNLEAVY | NDP | 2,167 | 3,229.1 | |||
1-BRUCE SMITH | Grn | 432 | 1,022.1 | |||
1-ANNE MARSDEN | Ind | 289 | 289.0 | |||
1-REGINA LAW | NLP | 144 | 144.0 | |||
1-CAM JACKSON | Con | 29,055 | 23,154.5 | ✔ | ||
ON-11 |
This data can not be used to predict outcomes for individual candidates. | 1-JERRY BOYLE | Lib | 10,244 | 10,504.4 | |
1-GARY GIBSON | NDP | 8,684 | 9,074.6 | |||
1-AL SMITH | FCP | 824 | 824.0 | |||
1-KATHLEEN MORTON | Grn | 489 | 706.0 | |||
1-GERRY MARTINIUK | Con | 24,583 | 22,413.0 | ✔ | ||
ON-12 |
This data can not be used to predict outcomes for individual candidates. | 1-TONY SILIPO | NDP | 8,717 | 9,773.7 | |
1-TONY RUPRECHT | Lib | 13,649 | 13,726.0 | ✔ | ||
1-EDUARDO MARCOS | Con | 4,346 | 4,363.9 | |||
1-PAULO SIMAS | Grn | 224 | 224.0 | |||
1-KEN KALOPSIS | Oth | 174 | 174.0 | |||
1-BARBARA SEED | Ind | 164 | 164.0 | |||
1-NUNZIO VENUTO | Lbt | 95 | 95.0 | |||
1-MAURICE F. SEGUIN | NLP | 81 | 81.0 | |||
ON-13 |
This data can not be used to predict outcomes for individual candidates. | 1-DAVE JOHNSON | Con | 17,955 | 17,989.9 | |
1-JANAKI BALA-KRISHNAN | NDP | 1,822 | 1,916.3 | |||
1-RAFFI ASSADOURIAN | Ind | 329 | 329.0 | |||
1-RYAN KIDD | FCP | 153 | 153.0 | |||
1-ELIZABETH ROWLEY | Com | 91 | 91.0 | |||
1-JEFF PANCER | Grn | 85 | 101.4 | |||
1-FERNAND DESCHAMPS | Ind | 65 | 65.0 | |||
1-WAYNE SIMMONS | Free | 53 | 53.0 | |||
1-SHAIL LALL | NLP | 28 | 28.0 | |||
1-DAVID CAPLAN | Lib | 20,993 | 20,788.0 | ✔ | ||
ON-14 |
This data can not be used to predict outcomes for individual candidates. | 1-PAUL DAVIDSON | Lib | 20,008 | 20,036.7 | |
1-GEOFFREY ALLEN | NDP | 2,152 | 2,195.1 | |||
1-JUDITH SNOW | Ind | 312 | 312.0 | |||
1-DEBBIE WEBERG | NLP | 224 | 224.0 | |||
1-DAVID TURNBULL | Con | 23,177 | 22,937.5 | ✔ | ||
ON-15 |
This data can not be used to predict outcomes for individual candidates. | 1-STEVE WHITE | Lib | 13,591 | 14,425.7 | |
1-NOEL DUIGNAN | NDP | 1,871 | 3,123.1 | |||
1-RICHARD PROCTER | Grn | 1,156 | 1,851.6 | |||
1-DAVID TILSON | Con | 30,532 | 23,576.0 | ✔ | ||
ON-16 |
This data can not be used to predict outcomes for individual candidates. | 1-GARRY MINNIE | Lib | 14,694 | 15,081.8 | |
1-JIM MORRISON | NDP | 4,235 | 4,816.7 | |||
1-GAIL THOMPSON | Grn | 467 | 790.2 | |||
1-JACINTHE MILLAIRE | NLP | 242 | 242.0 | |||
1-JOHN R. O'TOOLE | Con | 26,103 | 22,871.5 | ✔ | ||
ON-17 |
This data can not be used to predict outcomes for individual candidates. | 1-JOHN PARKER | Con | 14,994 | 15,484.1 | |
1-JAY WATERMAN | NDP | 1,835 | 3,161.2 | |||
1-FRANK D'ANGELO | FCP | 821 | 821.0 | |||
1-SHELLY LIPSEY | Grn | 470 | 700.6 | |||
1-NEIL C. DICKIE | NLP | 263 | 263.0 | |||
1-MIKE COLLE | Lib | 24,151 | 21,268.0 | ✔ | ||
ON-18 |
This data can not be used to predict outcomes for individual candidates. | 1-STEVE PETERS | Lib | 20,417 | 22,100.0 | ✔ |
1-BRUCE SMITH | Con | 19,246 | 19,702.2 | |||
1-DAVE LA POINTE | NDP | 3,455 | 3,541.0 | |||
1-RAY MONTEITH | Free | 405 | 405.0 | |||
1-JOHN FISHER | Grn | 391 | 391.0 | |||
1-COREY JANZEN | Ind | 284 | 284.0 | |||
ON-19 |
This data can not be used to predict outcomes for individual candidates. | 1-LORNE BOYKO | Lib | 14,603 | 14,635.9 | |
1-DAVE THOMAS | NDP | 3,884 | 3,933.3 | |||
1-ALFRED KIERS | FCP | 1,009 | 1,009.0 | |||
1-JOHN GREGORY | NLP | 435 | 435.0 | |||
1-TIM HUDAK | Con | 20,481 | 20,207.0 | ✔ | ||
ON-20 |
This data can not be used to predict outcomes for individual candidates. | 1-PAT O'NEIL | Con | 15,354 | 15,867.2 | |
1-MERV RICHARDS | NDP | 3,745 | 5,133.7 | |||
1-ENVER VILLAMIZAR | Ind | 307 | 307.0 | |||
1-BRUCE CROZIER | Lib | 25,446 | 22,427.0 | ✔ | ||
ON-21 |
This data can not be used to predict outcomes for individual candidates. | 1-AGNES UGOLINI POTTS | Lib | 19,035 | 19,268.0 | |
1-BONTE MINNEMA | NDP | 1,309 | 1,658.5 | |||
1-DAN MC CASH | FCP | 389 | 389.0 | |||
1-CHRISTOPHER MORTON | Grn | 375 | 569.2 | |||
1-GERALDINE JACKSON | NLP | 316 | 316.0 | |||
1-ELAINE COUTO | Ind | 209 | 209.0 | |||
1-CHRIS STOCKWELL | Con | 25,518 | 23,576.5 | ✔ | ||
ON-22 |
This data can not be used to predict outcomes for individual candidates. | 1-MORLEY KELLS | Con | 20,602 | 21,927.5 | ✔ |
1-LAUREL BROTEN | Lib | 15,723 | 18,241.2 | |||
1-VICKI OBEDKOFF | NDP | 6,457 | 6,457.0 | |||
1-KEVIN MCGOURTY | FCP | 423 | 423.0 | |||
1-DON JACKSON | NLP | 349 | 349.0 | |||
1-JANICE MURRAY | Ind | 299 | 299.0 | |||
ON-23 |
This data can not be used to predict outcomes for individual candidates. | 1-SHAFIQ QAADRI | Lib | 11,619 | 16,489.1 | ✔ |
1-JOHN HASTINGS | Con | 13,065 | 14,044.9 | |||
1-ED PHILIP | NDP | 8,166 | 8,166.0 | |||
1-MARK STEFANINI | FCP | 580 | 580.0 | |||
1-DIANE JOHNSTON | Ind | 489 | 489.0 | |||
1-MARILYN PEPPER | NLP | 223 | 223.0 | |||
ON-24 |
This data can not be used to predict outcomes for individual candidates. | 1-ALAIN LALONDE | Con | 17,364 | 17,769.5 | |
1-STÉPHANE LANDRY | NDP | 2,007 | 3,104.1 | |||
1-MARY GLASSER | NLP | 425 | 425.0 | |||
1-JEAN-MARC LALONDE | Lib | 24,568 | 22,183.0 | ✔ | ||
ON-25 |
This data can not be used to predict outcomes for individual candidates. | 1-RENÉ DANIS | Lib | 18,052 | 18,296.1 | |
1-JAMIE GALLANT | NDP | 1,195 | 1,561.2 | |||
1-ANDRÉ CLERMONT | Grn | 614 | 817.5 | |||
1-LUC BRISEBOIS | Ind | 247 | 247.0 | |||
1-RICHARD WOLFSON | NLP | 177 | 177.0 | |||
1-BRIAN COBURN | Con | 24,356 | 22,321.5 | ✔ | ||
ON-26 |
This data can not be used to predict outcomes for individual candidates. | 1-WAYNE E. HYLAND | Lib | 16,595 | 16,690.6 | |
1-BRUCE ABEL | NDP | 5,907 | 6,050.4 | |||
1-JOHN G. GOTS | FCP | 1,020 | 1,020.0 | |||
1-BRADLEY SHAW | Grn | 733 | 812.7 | |||
1-ANNA DI CARLO | Ind | 396 | 396.0 | |||
1-BRENDA ELLIOTT | Con | 26,246 | 25,449.5 | ✔ | ||
ON-27 |
This data can not be used to predict outcomes for individual candidates. | 1-DOUG MILLER | Lib | 18,304 | 18,368.4 | |
1-PRUE STEINER | NDP | 2,600 | 2,696.6 | |||
1-BARRA L. GOTS | FCP | 584 | 584.0 | |||
1-JOHN JAQUES | Grn | 413 | 466.7 | |||
1-STEFAN LARRASS | NLP | 148 | 148.0 | |||
1-TOBY BARRETT | Con | 23,124 | 22,587.5 | ✔ | ||
ON-28 |
This data can not be used to predict outcomes for individual candidates. | 1-MOHAN ANAND | Lib | 14,767 | 15,747.5 | |
1-JAY JACKSON | NDP | 2,833 | 4,303.8 | |||
1-BILL CHAMP | Grn | 806 | 1,623.1 | |||
1-GIUSEPPE GORI | FCP | 755 | 755.0 | |||
1-TED CHUDLEIGH | Con | 35,505 | 27,334.0 | ✔ | ||
ON-29 |
This data can not be used to predict outcomes for individual candidates. | 1-PETE PRESTON | Con | 7,414 | 7,624.8 | |
1-BOB SUTTON | NDP | 6,304 | 6,874.4 | |||
1-JIM HOWLETT | Grn | 496 | 595.2 | |||
1-EDGAR BREAU | FCP | 386 | 386.0 | |||
1-BOB MANN | Com | 288 | 288.0 | |||
1-JULIE GORDON | Ind | 263 | 263.0 | |||
1-LAUREEN AMOS | NLP | 258 | 258.0 | |||
1-DOMINIC AGOSTINO | Lib | 17,891 | 16,651.0 | ✔ | ||
ON-30 |
This data can not be used to predict outcomes for individual candidates. | 1-MARIE BOUNTROGIANNI | Lib | 19,076 | 23,699.5 | ✔ |
1-TREVOR PETTIT | Con | 16,397 | 17,720.2 | |||
1-CHRIS CHARLTON | NDP | 10,622 | 10,722.3 | |||
1-KELLI GALLAGHER | Grn | 456 | 456.0 | |||
1-JIM ENOS | FCP | 426 | 426.0 | |||
1-BOB DANIO | NLP | 261 | 261.0 | |||
1-ROLF GERSTENBERGER | Ind | 159 | 159.0 | |||
ON-31 |
This data can not be used to predict outcomes for individual candidates. | 1-LILLIAN ROSS | Con | 12,261 | 14,439.8 | |
1-DAVID CHRISTOPHERSON | NDP | 15,625 | 20,645.0 | ✔ | ||
1-FRANK D'AMICO | Lib | 12,037 | 12,116.2 | |||
1-PHYLLIS MCCOLL | Grn | 495 | 495.0 | |||
1-LYNNE SCIME | FCP | 403 | 403.0 | |||
1-WENDELL FIELDS | Ind | 236 | 236.0 | |||
1-RITA RASSENBERG | NLP | 231 | 231.0 | |||
ON-32 |
This data can not be used to predict outcomes for individual candidates. | 1-LEONA DOMBROWSKY | Lib | 20,395 | 21,820.0 | ✔ |
1-HARRY DANFORD | Con | 18,553 | 18,975.2 | |||
1-ALLAN MCPHAIL | NDP | 3,008 | 3,134.7 | |||
1-CATHY VAKIL | Grn | 576 | 576.0 | |||
1-JOHN-HENRY WESTEN | FCP | 524 | 524.0 | |||
1-PETER LEGGAT | NLP | 382 | 382.0 | |||
1-KARL WALKER | Ind | 200 | 200.0 | |||
ON-33 |
This data can not be used to predict outcomes for individual candidates. | 1-HELEN JOHNS | Con | 20,772 | 22,701.5 | ✔ |
1-ROSS LAMONT | Lib | 18,993 | 20,608.4 | |||
1-TONY MCQUAIL | NDP | 4,142 | 4,142.0 | |||
1-LINDA FREIBURGER | FCP | 1,494 | 1,494.0 | |||
ON-34 |
This data can not be used to predict outcomes for individual candidates. | 1-HOWARD HAMPTON | NDP | 14,269 | 15,948.5 | ✔ |
1-FRANK MICLASH | Lib | 11,209 | 11,867.0 | |||
1-LYNN BEYAK | Con | 5,483 | 5,483.0 | |||
1-RICHARD BRUYERE | Ind | 934 | 934.0 | |||
ON-35 |
This data can not be used to predict outcomes for individual candidates. | 1-JACK CARROLL | Con | 16,238 | 16,681.8 | |
1-BRIAN SHARP | NDP | 2,316 | 3,516.8 | |||
1-GREG ZOLAD | Grn | 462 | 670.8 | |||
1-PAT HOY | Lib | 24,239 | 21,628.5 | ✔ | ||
ON-36 |
This data can not be used to predict outcomes for individual candidates. | 1-BOB PICKERING | Con | 14,487 | 14,871.9 | |
1-BETH PATER | NDP | 5,436 | 6,477.4 | |||
1-CHRIS WALKER | Grn | 1,174 | 1,355.1 | |||
1-CHRIS BENETEAU | FCP | 546 | 546.0 | |||
1-GERARD MORRIS | NLP | 182 | 182.0 | |||
1-JOHN GERRETSEN | Lib | 26,355 | 24,091.0 | ✔ | ||
ON-37 |
This data can not be used to predict outcomes for individual candidates. | 1-BERRY VRBANOVIC | Lib | 17,984 | 17,991.9 | |
1-DAVID BROHMAN | NDP | 3,494 | 3,505.9 | |||
1-SUSAN KOSWAN | Grn | 561 | 567.6 | |||
1-ROY ANDERSON | NLP | 204 | 204.0 | |||
1-IRVINE CONNER | Ind | 109 | 109.0 | |||
1-JULIAN ICHIM | Ind | 107 | 107.0 | |||
1-WAYNE WETTLAUFER | Con | 22,593 | 22,527.0 | ✔ | ||
ON-38 |
This data can not be used to predict outcomes for individual candidates. | 1-SEAN STRICKLAND | Lib | 18,034 | 18,301.5 | |
1-TED MARTIN | NDP | 3,122 | 3,523.2 | |||
1-LOU REITZEL | FCP | 919 | 919.0 | |||
1-JUDY GREENWOOD-SPEERS | Grn | 836 | 1,058.9 | |||
1-MATTHEW ALBRECHT | Ind | 202 | 202.0 | |||
1-RICHARD BEECROFT | NLP | 135 | 135.0 | |||
1-HELMUT BRAUN | Ind | 122 | 122.0 | |||
1-ELIZABETH WITMER | Con | 27,830 | 25,601.0 | ✔ | ||
ON-39 |
This data can not be used to predict outcomes for individual candidates. | 1-LARRY O'NEILL | Lib | 18,665 | 21,737.0 | ✔ |
1-MARCEL BEAUBIEN | Con | 19,561 | 20,061.4 | |||
1-JIM LEE | NDP | 4,170 | 4,170.0 | |||
1-WAYNE FORBES | Free | 1,076 | 1,076.0 | |||
ON-40 |
This data can not be used to predict outcomes for individual candidates. | 1-DWIGHT EASTMAN | Lib | 17,323 | 17,864.4 | |
1-SHEILA SANSOME | NDP | 2,713 | 3,525.2 | |||
1-JANNE CAMPBELL | FCP | 1,450 | 1,450.0 | |||
1-STUART LANGSTAFF | Grn | 681 | 1,132.2 | |||
1-ANGELA HEA | NLP | 171 | 171.0 | |||
1-NORM STERLING | Con | 31,364 | 26,852.0 | ✔ | ||
ON-41 |
This data can not be used to predict outcomes for individual candidates. | 1-DON CAMERON | Lib | 17,307 | 17,470.9 | |
1-JIM MURRAY | NDP | 2,097 | 2,342.9 | |||
1-KEN BLACKBURN | Grn | 1,008 | 1,144.6 | |||
1-BRITT ROBERTS | NLP | 244 | 244.0 | |||
1-BOB RUNCIMAN | Con | 23,390 | 22,024.0 | ✔ | ||
ON-42 |
This data can not be used to predict outcomes for individual candidates. | 1-MARION BOYD | NDP | 16,611 | 22,779.5 | ✔ |
1-DIANNE CUNNINGHAM | Con | 18,320 | 19,977.3 | |||
1-ROGER CARANCI | Lib | 9,518 | 9,576.6 | |||
1-ANDREW J. JEZIERSKI | FCP | 466 | 466.0 | |||
1-JEFF CULBERT | Grn | 366 | 366.0 | |||
1-ROBERT METZ | Free | 156 | 156.0 | |||
1-STEPHEN PORTER | NLP | 120 | 120.0 | |||
ON-43 |
This data can not be used to predict outcomes for individual candidates. | 1-PETER MANCINI | Lib | 13,912 | 19,768.0 | ✔ |
1-FRANK MAZZILLI | Con | 15,295 | 16,495.2 | |||
1-IRENE MATHYSSEN | NDP | 9,788 | 9,841.0 | |||
1-LLOYD WALKER | Free | 293 | 293.0 | |||
1-HEIDI STRASSER | Grn | 241 | 241.0 | |||
1-WANDA BEAVER | NLP | 172 | 172.0 | |||
ON-44 |
This data can not be used to predict outcomes for individual candidates. | 1-DARREL SKIDMORE | Lib | 22,467 | 25,334.0 | ✔ |
1-BOB WOOD | Con | 22,761 | 23,349.1 | |||
1-SANDRA MCNEE | NDP | 4,628 | 4,695.8 | |||
1-JEREMY PRICE | Grn | 308 | 308.0 | |||
1-JACK PLANT | Free | 236 | 236.0 | |||
1-ERNIE MERKLEY | NLP | 133 | 133.0 | |||
1-GAYLE REMISCH | Lbt | 133 | 133.0 | |||
ON-45 |
This data can not be used to predict outcomes for individual candidates. | 1-STEVEN KIRSCH | Lib | 12,859 | 13,468.1 | |
1-JANICE HAGAN | NDP | 1,594 | 2,507.7 | |||
1-MIKE DUBINSKY | NLP | 640 | 640.0 | |||
1-BERNADETTE MANNING | Grn | 437 | 944.6 | |||
1-PAT REDMOND | FCP | 399 | 399.0 | |||
1-DAVID TSUBOUCHI | Con | 26,083 | 21,007.0 | ✔ | ||
ON-46 |
This data can not be used to predict outcomes for individual candidates. | 1-GEORGE WINTER | Lib | 14,572 | 14,642.6 | |
1-GAIL MCCABE | NDP | 1,820 | 1,925.9 | |||
1-BOB HARRINGTON | NLP | 1,117 | 1,117.0 | |||
1-ROB SAMPSON | Con | 18,688 | 18,099.5 | ✔ | ||
ON-47 |
This data can not be used to predict outcomes for individual candidates. | 1-SHAN PADDA | Lib | 13,371 | 13,435.8 | |
1-JAMES KAFIEH | NDP | 2,484 | 2,581.2 | |||
1-PIERRE CHENIER | Ind | 469 | 469.0 | |||
1-GREG MYTRON | NLP | 282 | 282.0 | |||
1-CARL DEFARIA | Con | 17,688 | 17,148.0 | ✔ | ||
ON-48 |
This data can not be used to predict outcomes for individual candidates. | 1-IEVA MARTIN | Lib | 12,275 | 12,802.1 | |
1-KEN COLE | NDP | 2,293 | 3,083.7 | |||
1-TIM SULLIVAN | Ind | 535 | 535.0 | |||
1-MARGARET MARLAND | Con | 23,890 | 19,497.5 | ✔ | ||
ON-49 |
This data can not be used to predict outcomes for individual candidates. | 1-BOB DELANEY | Lib | 17,792 | 18,202.4 | |
1-MAXINE CARON | NDP | 1,795 | 2,410.6 | |||
1-FRED FREDEEN | NLP | 387 | 387.0 | |||
1-JOHN SNOBELEN | Con | 26,816 | 23,396.0 | ✔ | ||
ON-50 |
This data can not be used to predict outcomes for individual candidates. | 1-GORD HUNTER | Lib | 16,809 | 17,556.8 | |
1-CRAIG PARSONS | NDP | 1,647 | 2,768.7 | |||
1-BILL FRAMPTON | Free | 386 | 386.0 | |||
1-BRIAN E. JACKSON | NLP | 239 | 239.0 | |||
1-JOHN BAIRD | Con | 31,546 | 25,314.5 | ✔ | ||
ON-51 |
This data can not be used to predict outcomes for individual candidates. | 1-FRANK SHEEHAN | Con | 17,217 | 19,036.3 | |
1-PETER KORMOS | NDP | 21,856 | 24,597.0 | ✔ | ||
1-MAURICE CHARBONNEAU | Lib | 9,539 | 9,539.0 | |||
1-MARGARET LARRASS | NLP | 382 | 382.0 | |||
1-LANK MAKULOLUWA | Ind | 198 | 198.0 | |||
ON-52 |
This data can not be used to predict outcomes for individual candidates. | 1-BART MAVES | Con | 18,497 | 20,239.5 | ✔ |
1-SELINA VOLPATTI | Lib | 17,080 | 18,707.9 | |||
1-CLAUDE SONIER | NDP | 3,985 | 4,051.0 | |||
1-BILL AMOS | NLP | 317 | 317.0 | |||
1-CLARA TARNOY | Grn | 300 | 300.0 | |||
1-DARREN WOOD | Ind | 298 | 298.0 | |||
ON-53 |
This data can not be used to predict outcomes for individual candidates. | 1-GERRY COURTEMANCHE | Con | 10,359 | 12,306.6 | |
1-SHELLEY MARTEL | NDP | 14,833 | 17,679.5 | ✔ | ||
1-RON DUPUIS | Lib | 10,165 | 10,165.0 | |||
ON-54 |
This data can not be used to predict outcomes for individual candidates. | 1-GEORGE MAROOSIS | Lib | 16,682 | 16,701.4 | |
1-WENDY YOUNG | NDP | 1,878 | 1,907.2 | |||
1-JAIMIE BOARD | Grn | 366 | 382.2 | |||
1-MICHAELE MORRIS | NLP | 246 | 246.0 | |||
1-MIKE HARRIS | Con | 19,498 | 19,336.0 | ✔ | ||
ON-55 |
This data can not be used to predict outcomes for individual candidates. | 1-CAROLYN CAMPBELL | Lib | 19,632 | 22,326.0 | ✔ |
1-DOUG GALT | Con | 20,535 | 21,000.4 | |||
1-MURRAY WEPPLER | NDP | 2,820 | 3,082.7 | |||
1-TOM LAWSON | Grn | 1,194 | 1,194.0 | |||
1-JIM PSIHOGIOS | FCP | 370 | 370.0 | |||
1-PASCALE LEVERT | NLP | 99 | 99.0 | |||
ON-56 |
This data can not be used to predict outcomes for individual candidates. | 1-VITO SPATAFORA | Lib | 17,427 | 18,034.9 | |
1-CHRIS MOISE | NDP | 1,957 | 2,868.9 | |||
1-STEVEN HAYLESTROM | Grn | 914 | 1,420.6 | |||
1-FRANK KLEES | Con | 30,432 | 25,366.0 | ✔ | ||
ON-57 |
This data can not be used to predict outcomes for individual candidates. | 1-KEVIN FLYNN | Lib | 14,689 | 15,329.6 | |
1-SEAN CAIN | NDP | 1,667 | 2,627.9 | |||
1-ADRIAN RATELLE | FCP | 530 | 530.0 | |||
1-LINDA ANTONICHUK | NLP | 202 | 202.0 | |||
1-GARY CARR | Con | 27,767 | 22,428.5 | ✔ | ||
ON-58 |
This data can not be used to predict outcomes for individual candidates. | 1-JERRY J. OUELLETTE | Con | 18,915 | 20,231.0 | ✔ |
1-CHRIS TOPPLE | Lib | 11,740 | 15,310.1 | |||
1-COLLEEN TWOMEY | NDP | 9,154 | 9,154.0 | |||
1-GARRY KOTACK | NLP | 651 | 651.0 | |||
ON-59 |
This data can not be used to predict outcomes for individual candidates. | 1-RICHARD PATTEN | Lib | 17,956 | 23,522.5 | ✔ |
1-RAY KOSTUCH | Con | 15,403 | 16,971.2 | |||
1-ELISABETH ARNOLD | NDP | 11,977 | 12,247.8 | |||
1-CHRIS BRADSHAW | Grn | 1,231 | 1,231.0 | |||
1-MARVIN GLASS | Com | 174 | 174.0 | |||
1-WAYNE FOSTER | NLP | 170 | 170.0 | |||
1-MISTAHI CORKILL | Ind | 132 | 132.0 | |||
ON-60 |
This data can not be used to predict outcomes for individual candidates. | 1-MIKE NICHOLSON | Con | 19,337 | 19,907.0 | |
1-DALTON MCGUINTY | Lib | 22,707 | 22,894.5 | ✔ | ||
1-JAMES MCLAREN | NDP | 2,655 | 2,814.3 | |||
1-GEORGE BROWN | Grn | 724 | 724.0 | |||
1-MAG CARSON | Ind | 243 | 243.0 | |||
1-JAMES HEA | NLP | 121 | 121.0 | |||
ON-61 |
This data can not be used to predict outcomes for individual candidates. | 1-MAURICE LAMIRANDE | Con | 12,605 | 12,808.7 | |
1-DAVID GAGNON | NDP | 4,163 | 4,714.1 | |||
1-RICHARD BRIGGS | Grn | 953 | 1,048.8 | |||
1-PIERRETTE BLONDIN | NLP | 580 | 580.0 | |||
1-KEVIN DUMONT CORKILL | Ind | 310 | 310.0 | |||
1-CLAUDETTE BOYER | Lib | 21,009 | 19,811.0 | ✔ | ||
ON-62 |
This data can not be used to predict outcomes for individual candidates. | 1-GARRY GUZZO | Con | 22,834 | 23,890.5 | ✔ |
1-RICK CHIARELLI | Lib | 16,419 | 19,533.7 | |||
1-ALEX CULLEN | NDP | 7,701 | 7,800.7 | |||
1-RICHARD WARMAN | Grn | 453 | 453.0 | |||
1-MEGAN HNATIW | Ind | 129 | 223.0 | |||
1-JOHN TURMEL | Ind | 94 | 94.0 | |||
1-ANTHONY C. SILVESTRO | COR | 79 | 79.0 | |||
1-LESTER J. NEWBY | NLP | 70 | 70.0 | |||
ON-63 |
This data can not be used to predict outcomes for individual candidates. | 1-BRIAN BROWN | Lib | 15,160 | 15,326.6 | |
1-MARTIN DONLEVY | NDP | 3,077 | 3,326.8 | |||
1-ANDRE DE DECKER | FCP | 875 | 875.0 | |||
1-KAYE SARGENT | Lbt | 321 | 321.0 | |||
1-PAUL BLAIR | Free | 312 | 312.0 | |||
1-JIM MORRIS | NLP | 203 | 203.0 | |||
1-ERNIE HARDEMAN | Con | 22,726 | 21,338.0 | ✔ | ||
ON-64 |
This data can not be used to predict outcomes for individual candidates. | 1-ANNAMARIE CASTRILLI | Con | 12,647 | 12,997.5 | |
1-IRENE ATKINSON | NDP | 4,937 | 5,885.5 | |||
1-FRANK DE JONG | Grn | 500 | 665.0 | |||
1-DOUG BURN | Lbt | 325 | 325.0 | |||
1-STAN J. GRZYWNA | FCP | 289 | 289.0 | |||
1-JORGE VAN SCHOUWEN | Ind | 99 | 99.0 | |||
1-J. LYNNE HEA | NLP | 99 | 99.0 | |||
1-GERARD KENNEDY | Lib | 23,022 | 20,960.0 | ✔ | ||
ON-65 |
This data can not be used to predict outcomes for individual candidates. | 1-ISABEL DOXEY | Lib | 10,970 | 11,348.8 | |
1-DAN WATERS | NDP | 5,343 | 5,911.2 | |||
1-IRIS TAMSSOT | NLP | 339 | 339.0 | |||
1-ERNIE EVES | Con | 22,967 | 19,810.5 | ✔ | ||
ON-66 |
This data can not be used to predict outcomes for individual candidates. | 1-JOHN WILKINSON | Lib | 15,428 | 15,529.5 | |
1-WALTER EDMUND VERNON | NDP | 3,053 | 3,205.3 | |||
1-PAT BANNON | FCP | 1,369 | 1,369.0 | |||
1-ROBERT J.W. SMINK | Free | 521 | 521.0 | |||
1-BERT JOHNSON | Con | 22,065 | 21,219.0 | ✔ | ||
ON-67 |
This data can not be used to predict outcomes for individual candidates. | 1-GARY STEWART | Con | 24,422 | 27,141.0 | ✔ |
1-JEFF LEAL | Lib | 21,820 | 24,719.6 | |||
1-DAVE NICKLE | NDP | 7,058 | 7,189.6 | |||
1-LARRY J. TYLDSLEY | Grn | 598 | 598.0 | |||
1-BOB BOWERS | Ind | 151 | 276.0 | |||
1-KENNETH BURGESS | Ind | 125 | 125.0 | |||
1-ROBERT MAYER | NLP | 106 | 106.0 | |||
ON-68 |
This data can not be used to predict outcomes for individual candidates. | 1-DAVE RYAN | Lib | 16,881 | 17,365.2 | |
1-JIM WISEMAN | NDP | 2,814 | 3,540.3 | |||
1-CHRIS PENNINGTON | Grn | 703 | 1,106.5 | |||
1-BOB RIAZ | NLP | 191 | 191.0 | |||
1-JANET ECKER | Con | 28,661 | 24,626.0 | ✔ | ||
ON-69 |
This data can not be used to predict outcomes for individual candidates. | 1-ERNIE PARSONS | Lib | 17,987 | 19,936.5 | ✔ |
1-GARY FOX | Con | 17,931 | 18,323.2 | |||
1-BEV CAMPBELL | NDP | 2,877 | 2,974.0 | |||
1-SHAWN TALBOT | Grn | 441 | 441.0 | |||
1-KEVIN RIVERS | Ind | 188 | 321.0 | |||
1-MARIE HINEMAN | COR | 203 | 203.0 | |||
1-TRUEMAN TUCK | Ind | 133 | 133.0 | |||
1-SYLVIE POIRIER | NLP | 111 | 111.0 | |||
ON-70 |
This data can not be used to predict outcomes for individual candidates. | 1-LEO JORDAN | Con | 17,738 | 17,988.0 | |
1-GERRY BOYER | NDP | 2,295 | 2,971.4 | |||
1-THANE C. HEINS | Grn | 287 | 404.6 | |||
1-ANDRÉ GIORDANO | NLP | 172 | 172.0 | |||
1-SEAN CONWAY | Lib | 23,435 | 21,964.5 | ✔ | ||
ON-71 |
This data can not be used to predict outcomes for individual candidates. | 1-DAVE BOUSHY | Con | 16,679 | 17,184.6 | |
1-CAROLINE DI COCCO | Lib | 19,440 | 19,874.0 | ✔ | ||
1-MARK KOTANEN | NDP | 3,110 | 3,110.0 | |||
1-ANDREW K. FALBY | Free | 517 | 517.0 | |||
ON-72 |
This data can not be used to predict outcomes for individual candidates. | 1-JAMES CAICCO | Con | 10,477 | 12,469.7 | |
1-TONY MARTIN | NDP | 15,949 | 18,448.0 | ✔ | ||
1-TERRY SHEEHAN | Lib | 10,180 | 10,180.0 | |||
1-COLLEEN HIBBS | NLP | 288 | 288.0 | |||
ON-73 |
This data can not be used to predict outcomes for individual candidates. | 1-JIM BROWN | Con | 15,915 | 15,958.4 | |
1-BOB FRANKFORD | NDP | 1,319 | 1,436.5 | |||
1-GARY CARMICHAEL | Grn | 451 | 471.4 | |||
1-WAYNE COOK | Ind | 371 | 371.0 | |||
1-KEN MORGAN | NLP | 129 | 129.0 | |||
1-GERRY PHILLIPS | Lib | 18,698 | 18,442.5 | ✔ | ||
ON-74 |
This data can not be used to predict outcomes for individual candidates. | 1-MARILYN MUSHINSKI | Con | 18,189 | 21,091.5 | ✔ |
1-COSTAS MANIOS | Lib | 14,565 | 17,840.6 | |||
1-SID RYAN | NDP | 8,399 | 8,399.0 | |||
1-RINA MORRA | FCP | 573 | 573.0 | |||
1-EILEEN MURRAY | NLP | 455 | 455.0 | |||
ON-75 |
This data can not be used to predict outcomes for individual candidates. | 1-PETER VANDERYAGT | Lib | 17,084 | 18,212.7 | |
1-STEVE GILCHRIST | Con | 20,686 | 20,895.0 | ✔ | ||
1-TERRY MALEY | NDP | 2,853 | 2,853.0 | |||
1-CATHERINE FOX | FCP | 457 | 457.0 | |||
1-SAM APELBAUM | Lbt | 368 | 368.0 | |||
1-HEATH THOMAS | Ind | 205 | 205.0 | |||
1-LOUCAS CAFE | NLP | 135 | 135.0 | |||
ON-76 |
This data can not be used to predict outcomes for individual candidates. | 1-MUBASHAR DAR | Con | 12,061 | 12,492.6 | |
1-PAULETTE SENIOR | NDP | 2,138 | 3,305.9 | |||
1-BETTY PETERS | FCP | 489 | 489.0 | |||
1-LOU DUBE | NLP | 284 | 284.0 | |||
1-ALVIN CURLING | Lib | 20,052 | 17,513.0 | ✔ | ||
ON-77 |
This data can not be used to predict outcomes for individual candidates. | 1-ADRIAN HEAPS | Lib | 12,992 | 18,578.6 | ✔ |
1-DAN NEWMAN | Con | 15,349 | 16,474.0 | |||
1-MICHAEL YORKE | NDP | 8,962 | 9,064.5 | |||
1-WIKTOR BORKOWSKI | FCP | 495 | 495.0 | |||
1-BARBARA SCHAEFER | Grn | 466 | 466.0 | |||
1-LAURENCE CORP | NLP | 339 | 339.0 | |||
ON-78 |
This data can not be used to predict outcomes for individual candidates. | 1-NORMAN SANDBERG | Lib | 12,815 | 13,745.3 | |
1-MARY HART | NDP | 3,662 | 5,057.5 | |||
1-JIM WILSON | Con | 31,984 | 24,231.5 | ✔ | ||
ON-79 |
This data can not be used to predict outcomes for individual candidates. | 1-GEORGE MACDONALD | Lib | 19,209 | 19,394.9 | |
1-ANN BILLINGS | NDP | 2,913 | 3,191.8 | |||
1-HARRY PROMM | Grn | 633 | 787.9 | |||
1-WILLIAM ROBERT AYLING | NLP | 305 | 305.0 | |||
1-GARFIELD DUNLOP | Con | 26,160 | 24,611.0 | ✔ | ||
ON-80 |
This data can not be used to predict outcomes for individual candidates. | 1-TOM FROESE | Con | 17,994 | 18,304.0 | |
1-GORDON COGGINS | NDP | 2,902 | 3,740.8 | |||
1-HELENE DARISSE | NLP | 272 | 272.0 | |||
1-DOUG WOODARD | Grn | 215 | 360.9 | |||
1-RON WALKER | Ind | 154 | 154.0 | |||
1-JIM BRADLEY | Lib | 25,186 | 23,362.5 | ✔ | ||
ON-81 |
This data can not be used to predict outcomes for individual candidates. | 1-ISABEL BASSETT | Con | 18,973 | 19,018.7 | |
1-LARRY SOLWAY | NDP | 3,350 | 3,473.7 | |||
1-DON ROEBUCK | Grn | 326 | 347.5 | |||
1-PHILIP FERNANDEZ | Ind | 194 | 194.0 | |||
1-LINDA MARTIN | NLP | 188 | 188.0 | |||
1-ANTONIO MARISTANES | Ind | 184 | 184.0 | |||
1-MICHAEL BRYANT | Lib | 23,755 | 23,486.0 | ✔ | ||
ON-82 |
This data can not be used to predict outcomes for individual candidates. | 1-BRAD CLARK | Con | 21,462 | 23,556.0 | ✔ |
1-CHRIS PHILLIPS | Lib | 18,840 | 20,759.6 | |||
1-ROBERT BARLOW | NDP | 4,922 | 4,922.0 | |||
1-PHILIP LEES | FCP | 1,206 | 1,206.0 | |||
1-PAUL LANE | Ind | 350 | 350.0 | |||
1-SUE MARCHAND | NLP | 330 | 330.0 | |||
ON-83 |
This data can not be used to predict outcomes for individual candidates. | 1-JOHN CLEARY | Lib | 20,275 | 21,126.5 | ✔ |
1-NOBLE VILLENEUVE | Con | 19,635 | 19,876.4 | |||
1-MAGGIE MACDONALD | NDP | 2,012 | 2,012.0 | |||
1-IAN CAMPBELL | NLP | 329 | 329.0 | |||
ON-84 |
This data can not be used to predict outcomes for individual candidates. | 1-MILA WONG | Con | 10,948 | 11,495.8 | |
1-PAUL CHISLETT | NDP | 3,891 | 5,373.4 | |||
1-BERNARD FRAM | NLP | 184 | 184.0 | |||
1-ED POKONZIE | Ind | 159 | 159.0 | |||
1-J. DAVID POPESCU | Ind | 103 | 103.0 | |||
1-RICK BARTOLUCCI | Lib | 21,732 | 18,509.5 | ✔ | ||
ON-85 |
This data can not be used to predict outcomes for individual candidates. | 1-DAN RONEN | Lib | 19,237 | 20,308.5 | ✔ |
1-TINA MOLINARI | Con | 19,580 | 19,790.9 | |||
1-NATHAN ROTMAN | NDP | 1,438 | 1,517.2 | |||
1-RUTH VON BEZOLD | Grn | 360 | 360.0 | |||
ON-86 |
This data can not be used to predict outcomes for individual candidates. | 1-JOHN HENDERSON | Con | 6,081 | 6,835.9 | |
1-JACK DREWES | NDP | 5,304 | 7,346.6 | |||
1-LYN MCLEOD | Lib | 20,268 | 15,827.5 | ✔ | ||
ON-87 |
This data can not be used to predict outcomes for individual candidates. | 1-NATHALIE GALESLOOT | NDP | 5,864 | 7,448.0 | |
1-ED LINKEWICH | Con | 5,683 | 6,268.4 | |||
1-ROBERT WOITO | Ind | 431 | 431.0 | |||
1-CARL ROSE | Grn | 382 | 657.5 | |||
1-MICHAEL GRAVELLE | Lib | 19,249 | 15,805.5 | ✔ | ||
ON-88 |
This data can not be used to predict outcomes for individual candidates. | 1-RICK BRASSARD | Con | 10,374 | 11,699.6 | |
1-DAVID RAMSAY | Lib | 16,877 | 17,442.0 | ✔ | ||
1-LEN WOOD | NDP | 7,631 | 7,631.0 | |||
ON-89 |
This data can not be used to predict outcomes for individual candidates. | 1-YVES MALETTE | Lib | 10,238 | 10,590.8 | |
1-MARCEL PELCHAT | Con | 4,139 | 4,247.5 | |||
1-ED WALSH | Ind | 316 | 316.0 | |||
1-GILLES BISSON | NDP | 16,504 | 15,599.5 | ✔ | ||
ON-90 |
This data can not be used to predict outcomes for individual candidates. | 1-GEORGE SMITHERMAN | Lib | 17,756 | 21,119.4 | ✔ |
1-DURHANE WONG-RIEGER | Con | 13,640 | 14,164.0 | |||
1-JOHN SEWELL | Ind | 8,822 | 9,058.0 | |||
1-HELEN BRESLAUER | NDP | 4,019 | 4,105.2 | |||
1-JOSEPH COHEN | Grn | 392 | 392.0 | |||
1-PAUL MCKEEVER | Free | 344 | 344.0 | |||
1-MIKE RYNER | Ind | 236 | 236.0 | |||
1-BILL WHATCOTT | FCP | 232 | 232.0 | |||
1-RON PARKER | NLP | 205 | 205.0 | |||
ON-91 |
This data can not be used to predict outcomes for individual candidates. | 1-ALBERT KOEHL | Lib | 9,817 | 11,074.7 | |
1-ROSARIO MARCHESE | NDP | 17,110 | 17,866.0 | ✔ | ||
1-CHRIS LORETO | Con | 7,323 | 7,372.0 | |||
1-SAT KHALSA | Grn | 612 | 612.0 | |||
1-ROBERTO VERDECCHIA | Ind | 258 | 412.0 | |||
1-RON ROBINS | NLP | 274 | 274.0 | |||
1-SILVIO URSOMARZO | Free | 182 | 182.0 | |||
1-RAYMOND SAMUELS | Ind | 154 | 154.0 | |||
ON-92 |
This data can not be used to predict outcomes for individual candidates. | 1-TONY GENCO | Lib | 21,173 | 21,470.4 | |
1-MICHAEL SEAWARD | NDP | 1,539 | 1,985.1 | |||
1-JOHN W. GENSER | Lbt | 670 | 670.0 | |||
1-ERNST VON BEZOLD | Grn | 495 | 742.9 | |||
1-AL PALLADINI | Con | 28,836 | 26,357.5 | ✔ | ||
ON-93 |
This data can not be used to predict outcomes for individual candidates. | 1-SHARON MCCRAE | Lib | 14,556 | 15,342.5 | |
1-RICK DENYER | NDP | 3,786 | 4,965.7 | |||
1-BRAD BRADAMORE | Ind | 340 | 340.0 | |||
1-CHARLES OLITO | Free | 198 | 198.0 | |||
1-MAXIM NEWBY | NLP | 135 | 135.0 | |||
1-CHRIS HODGSON | Con | 32,125 | 25,571.0 | ✔ | ||
ON-94 |
This data can not be used to predict outcomes for individual candidates. | 1-MARION REIDEL | Lib | 12,923 | 13,511.2 | |
1-RICHARD WALSH-BOWERS | NDP | 2,306 | 3,188.4 | |||
1-GORD TRUSCOTT | FCP | 685 | 685.0 | |||
1-BRENT BOUTEILLER | Grn | 566 | 1,056.2 | |||
1-TED ARNOTT | Con | 26,286 | 21,384.0 | ✔ | ||
ON-95 |
This data can not be used to predict outcomes for individual candidates. | 1-VICKY WYLSON-SHER | Lib | 15,843 | 16,300.9 | |
1-JESSICA BRENNAN | NDP | 3,990 | 4,676.8 | |||
1-TONI SKARICA | Con | 27,466 | 23,650.5 | ✔ | ||
ON-96 |
This data can not be used to predict outcomes for individual candidates. | 1-ALDO DIGIOVANNI | Lib | 16,235 | 16,684.8 | |
1-BETTY ANN CRAIG | NDP | 3,889 | 4,563.7 | |||
1-JIM FLAHERTY | Con | 27,623 | 23,874.5 | ✔ | ||
ON-97 |
This data can not be used to predict outcomes for individual candidates. | 1-FAHIMEH MORTAZAVI | Lib | 18,579 | 18,606.5 | |
1-MIKAEL SWAYZE | NDP | 1,871 | 1,912.3 | |||
1-JIM CONRAD | FCP | 409 | 409.0 | |||
1-ELIZABETH RHODES | Grn | 330 | 353.0 | |||
1-BERNADETTE MICHAEL | Ind | 323 | 323.0 | |||
1-VAUGHAN BYRNES | Free | 152 | 152.0 | |||
1-CLAUDE VIAU | NLP | 75 | 75.0 | |||
1-DAVID YOUNG | Con | 22,200 | 21,970.5 | ✔ | ||
ON-98 |
This data can not be used to predict outcomes for individual candidates. | 1-DWIGHT DUNCAN | Lib | 17,383 | 19,279.0 | ✔ |
1-WAYNE LESSARD | NDP | 13,171 | 14,553.8 | |||
1-MIKE ROHRER | Con | 7,241 | 7,268.1 | |||
1-DARREN BROWN | Grn | 339 | 339.0 | |||
1-RALPH KIRCHNER | Ind | 263 | 263.0 | |||
1-JANET SHORTEN | NLP | 159 | 159.0 | |||
ON-99 |
This data can not be used to predict outcomes for individual candidates. | 1-DAVID MCCAMON | Con | 6,229 | 7,210.2 | |
1-LIAM MCCARTHY | NDP | 5,762 | 8,416.9 | |||
1-TIMOTHY DUGDALE | Grn | 420 | 881.7 | |||
1-ROBERT CRUISE | Ind | 270 | 270.0 | |||
1-LYNN TOBIN | NLP | 162 | 162.0 | |||
1-SANDRA PUPATELLO | Lib | 24,388 | 18,616.5 | ✔ | ||
ON-100 |
This data can not be used to predict outcomes for individual candidates. | 1-ROBERT HAUSMAN | Con | 9,192 | 9,847.7 | |
1-NORM JESIN | NDP | 3,721 | 5,495.2 | |||
1-ANGUS HUNT | NLP | 621 | 621.0 | |||
1-MONTE KWINTER | Lib | 21,250 | 17,393.0 | ✔ | ||
ON-101 |
This data can not be used to predict outcomes for individual candidates. | 1-JOHN VOLPE | Lib | 15,755 | 16,433.9 | |
1-STEVE SAYSELL | NDP | 2,236 | 3,254.4 | |||
1-KWOK-LIN MARY WAN | NLP | 305 | 305.0 | |||
1-JULIA MUNRO | Con | 29,613 | 23,955.5 | ✔ | ||
ON-102 |
This data can not be used to predict outcomes for individual candidates. | 1-ALAN HOFMEISTER | Con | 7,471 | 7,667.1 | |
1-ROSANA PELLIZZARI | NDP | 6,850 | 7,380.6 | |||
1-ENZO GRANZOTTO | FCP | 542 | 542.0 | |||
1-DAVID GERSHUNY | Ind | 486 | 486.0 | |||
1-HASSAN HUSSEINI | Com | 261 | 261.0 | |||
1-ALMA SUBASIC | Grn | 147 | 239.3 | |||
1-ERICA KINDL | NLP | 139 | 139.0 | |||
1-JOE CORDIANO | Lib | 18,205 | 17,051.5 | ✔ | ||
ON-103 |
This data can not be used to predict outcomes for individual candidates. | 1-CHRIS COLLIER | Con | 5,086 | 5,674.5 | |
1-STEPHNIE PAYNE | NDP | 3,377 | 4,969.3 | |||
1-ANTHONY DAVISON | Grn | 427 | 703.9 | |||
1-MARK SCRAFFORD | NLP | 299 | 299.0 | |||
1-S. NICHOLAS C. LIN | Ind | 194 | 194.0 | |||
1-ROSEMARY ANN RAY | Ind | 149 | 149.0 | |||
1-MARIO SERGIO | Lib | 16,457 | 12,995.5 | ✔ |