Riding Results for First-Past-The-Post-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: FPTP; candidates sorted from most to fewest raw votes.
Multi Member Elections: NA; candidates sorted from most to fewest raw votes.
Disclaimer
This data absolutely should not be used to make predictions about who will or will not win an actual election using this electoral system.
It's useful for understanding how votes transfer (or not, depending on the system) but it is not useful for making detailed preditions. There are too many variables at play, particularly in how ridings have been combined. In some models that has resulted in candidates being split between ridings, giving those candidates no chance of winning. That wouldn't occur in a real election, of course.
AB BC MB NB NL NS NT NU ON PE QC SK YT
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 | 14,299.0 | ✔ |
1-LYNN WATSON | NDP | 8,780 | 8,780.0 | |||
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-JOE TASCONA | Con | 33,721 | 33,721.0 | ✔ |
1-MAURA BOLGER | Lib | 15,376 | 15,376.0 | |||
1-JIM BROOKER | NDP | 2,532 | 2,532.0 | |||
1-W. TRACOGNA | Ind | 482 | 784.0 | |||
1-RUDY COUTURE | Ind | 302 | 0.0 | |||
1-MITCHELL HIBBS | NLP | 229 | 229.0 | |||
ON-3 |
This data can not be used to predict outcomes for individual candidates. | 1-FRANCES LANKIN | NDP | 19,703 | 19,703.0 | ✔ |
1-JUDY BURNS | Con | 12,776 | 12,776.0 | |||
1-BILL BUCKINGHAM | Lib | 9,332 | 9,332.0 | |||
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-RAMINDER GILL | Con | 18,442 | 18,442.0 | ✔ |
1-DAVE TOOR | Lib | 14,492 | 14,492.0 | |||
1-ROY WILLIS | Ind | 2,206 | 2,206.0 | |||
1-VISHNU ROCHE | NDP | 2,204 | 2,204.0 | |||
ON-5 |
This data can not be used to predict outcomes for individual candidates. | 1-JOE SPINA | Con | 20,623 | 20,623.0 | ✔ |
1-GURJIT GREWAL | Lib | 9,994 | 9,994.0 | |||
1-PAUL SCHMIDT | NDP | 5,080 | 5,080.0 | |||
ON-6 |
This data can not be used to predict outcomes for individual candidates. | 1-TONY CLEMENT | Con | 24,909 | 24,909.0 | ✔ |
1-VIC DHILLON | Lib | 16,599 | 16,599.0 | |||
1-JOHN DEVRIES | NDP | 2,824 | 2,824.0 | |||
1-MEI SZE VIAU | NLP | 252 | 252.0 | |||
ON-7 |
This data can not be used to predict outcomes for individual candidates. | 1-DAVE LEVAC | Lib | 21,166 | 21,166.0 | ✔ |
1-ALAYNE SOKOLOSKI | Con | 20,210 | 20,210.0 | |||
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-MARILYN CHURLEY | NDP | 18,150 | 18,150.0 | ✔ |
1-RITA SMITH | Con | 9,554 | 9,554.0 | |||
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-BILL MURDOCH | Con | 24,915 | 24,915.0 | ✔ |
1-RUTH LOVELL | Lib | 16,139 | 16,139.0 | |||
1-COLLEEN PURDON | NDP | 2,776 | 2,776.0 | |||
1-JOHN CLARK | FCP | 1,540 | 1,540.0 | |||
1-GRANT PATTULLO | Grn | 373 | 373.0 | |||
ON-10 |
This data can not be used to predict outcomes for individual candidates. | 1-CAM JACKSON | Con | 29,055 | 29,055.0 | ✔ |
1-LINDA GLOVER | Lib | 14,220 | 14,220.0 | |||
1-DANNY DUNLEAVY | NDP | 2,167 | 2,167.0 | |||
1-BRUCE SMITH | Grn | 432 | 432.0 | |||
1-ANNE MARSDEN | Ind | 289 | 289.0 | |||
1-REGINA LAW | NLP | 144 | 144.0 | |||
ON-11 |
This data can not be used to predict outcomes for individual candidates. | 1-GERRY MARTINIUK | Con | 24,583 | 24,583.0 | ✔ |
1-JERRY BOYLE | Lib | 10,244 | 10,244.0 | |||
1-GARY GIBSON | NDP | 8,684 | 8,684.0 | |||
1-AL SMITH | FCP | 824 | 824.0 | |||
1-KATHLEEN MORTON | Grn | 489 | 489.0 | |||
ON-12 |
This data can not be used to predict outcomes for individual candidates. | 1-TONY RUPRECHT | Lib | 13,649 | 13,649.0 | ✔ |
1-TONY SILIPO | NDP | 8,717 | 8,717.0 | |||
1-EDUARDO MARCOS | Con | 4,346 | 4,346.0 | |||
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-DAVID CAPLAN | Lib | 20,993 | 20,993.0 | ✔ |
1-DAVE JOHNSON | Con | 17,955 | 17,955.0 | |||
1-JANAKI BALA-KRISHNAN | NDP | 1,822 | 1,822.0 | |||
1-RAFFI ASSADOURIAN | Ind | 329 | 394.0 | |||
1-RYAN KIDD | FCP | 153 | 153.0 | |||
1-ELIZABETH ROWLEY | Com | 91 | 91.0 | |||
1-JEFF PANCER | Grn | 85 | 85.0 | |||
1-FERNAND DESCHAMPS | Ind | 65 | 0.0 | |||
1-WAYNE SIMMONS | Free | 53 | 53.0 | |||
1-SHAIL LALL | NLP | 28 | 28.0 | |||
ON-14 |
This data can not be used to predict outcomes for individual candidates. | 1-DAVID TURNBULL | Con | 23,177 | 23,177.0 | ✔ |
1-PAUL DAVIDSON | Lib | 20,008 | 20,008.0 | |||
1-GEOFFREY ALLEN | NDP | 2,152 | 2,152.0 | |||
1-JUDITH SNOW | Ind | 312 | 312.0 | |||
1-DEBBIE WEBERG | NLP | 224 | 224.0 | |||
ON-15 |
This data can not be used to predict outcomes for individual candidates. | 1-DAVID TILSON | Con | 30,532 | 30,532.0 | ✔ |
1-STEVE WHITE | Lib | 13,591 | 13,591.0 | |||
1-NOEL DUIGNAN | NDP | 1,871 | 1,871.0 | |||
1-RICHARD PROCTER | Grn | 1,156 | 1,156.0 | |||
ON-16 |
This data can not be used to predict outcomes for individual candidates. | 1-JOHN R. O'TOOLE | Con | 26,103 | 26,103.0 | ✔ |
1-GARRY MINNIE | Lib | 14,694 | 14,694.0 | |||
1-JIM MORRISON | NDP | 4,235 | 4,235.0 | |||
1-GAIL THOMPSON | Grn | 467 | 467.0 | |||
1-JACINTHE MILLAIRE | NLP | 242 | 242.0 | |||
ON-17 |
This data can not be used to predict outcomes for individual candidates. | 1-MIKE COLLE | Lib | 24,151 | 24,151.0 | ✔ |
1-JOHN PARKER | Con | 14,994 | 14,994.0 | |||
1-JAY WATERMAN | NDP | 1,835 | 1,835.0 | |||
1-FRANK D'ANGELO | FCP | 821 | 821.0 | |||
1-SHELLY LIPSEY | Grn | 470 | 470.0 | |||
1-NEIL C. DICKIE | NLP | 263 | 263.0 | |||
ON-18 |
This data can not be used to predict outcomes for individual candidates. | 1-STEVE PETERS | Lib | 20,417 | 20,417.0 | ✔ |
1-BRUCE SMITH | Con | 19,246 | 19,246.0 | |||
1-DAVE LA POINTE | NDP | 3,455 | 3,455.0 | |||
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-TIM HUDAK | Con | 20,481 | 20,481.0 | ✔ |
1-LORNE BOYKO | Lib | 14,603 | 14,603.0 | |||
1-DAVE THOMAS | NDP | 3,884 | 3,884.0 | |||
1-ALFRED KIERS | FCP | 1,009 | 1,009.0 | |||
1-JOHN GREGORY | NLP | 435 | 435.0 | |||
ON-20 |
This data can not be used to predict outcomes for individual candidates. | 1-BRUCE CROZIER | Lib | 25,446 | 25,446.0 | ✔ |
1-PAT O'NEIL | Con | 15,354 | 15,354.0 | |||
1-MERV RICHARDS | NDP | 3,745 | 3,745.0 | |||
1-ENVER VILLAMIZAR | Ind | 307 | 307.0 | |||
ON-21 |
This data can not be used to predict outcomes for individual candidates. | 1-CHRIS STOCKWELL | Con | 25,518 | 25,518.0 | ✔ |
1-AGNES UGOLINI POTTS | Lib | 19,035 | 19,035.0 | |||
1-BONTE MINNEMA | NDP | 1,309 | 1,309.0 | |||
1-DAN MC CASH | FCP | 389 | 389.0 | |||
1-CHRISTOPHER MORTON | Grn | 375 | 375.0 | |||
1-GERALDINE JACKSON | NLP | 316 | 316.0 | |||
1-ELAINE COUTO | Ind | 209 | 209.0 | |||
ON-22 |
This data can not be used to predict outcomes for individual candidates. | 1-MORLEY KELLS | Con | 20,602 | 20,602.0 | ✔ |
1-LAUREL BROTEN | Lib | 15,723 | 15,723.0 | |||
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-JOHN HASTINGS | Con | 13,065 | 13,065.0 | ✔ |
1-SHAFIQ QAADRI | Lib | 11,619 | 11,619.0 | |||
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-JEAN-MARC LALONDE | Lib | 24,568 | 24,568.0 | ✔ |
1-ALAIN LALONDE | Con | 17,364 | 17,364.0 | |||
1-STÉPHANE LANDRY | NDP | 2,007 | 2,007.0 | |||
1-MARY GLASSER | NLP | 425 | 425.0 | |||
ON-25 |
This data can not be used to predict outcomes for individual candidates. | 1-BRIAN COBURN | Con | 24,356 | 24,356.0 | ✔ |
1-RENÉ DANIS | Lib | 18,052 | 18,052.0 | |||
1-JAMIE GALLANT | NDP | 1,195 | 1,195.0 | |||
1-ANDRÉ CLERMONT | Grn | 614 | 614.0 | |||
1-LUC BRISEBOIS | Ind | 247 | 247.0 | |||
1-RICHARD WOLFSON | NLP | 177 | 177.0 | |||
ON-26 |
This data can not be used to predict outcomes for individual candidates. | 1-BRENDA ELLIOTT | Con | 26,246 | 26,246.0 | ✔ |
1-WAYNE E. HYLAND | Lib | 16,595 | 16,595.0 | |||
1-BRUCE ABEL | NDP | 5,907 | 5,907.0 | |||
1-JOHN G. GOTS | FCP | 1,020 | 1,020.0 | |||
1-BRADLEY SHAW | Grn | 733 | 733.0 | |||
1-ANNA DI CARLO | Ind | 396 | 396.0 | |||
ON-27 |
This data can not be used to predict outcomes for individual candidates. | 1-TOBY BARRETT | Con | 23,124 | 23,124.0 | ✔ |
1-DOUG MILLER | Lib | 18,304 | 18,304.0 | |||
1-PRUE STEINER | NDP | 2,600 | 2,600.0 | |||
1-BARRA L. GOTS | FCP | 584 | 584.0 | |||
1-JOHN JAQUES | Grn | 413 | 413.0 | |||
1-STEFAN LARRASS | NLP | 148 | 148.0 | |||
ON-28 |
This data can not be used to predict outcomes for individual candidates. | 1-TED CHUDLEIGH | Con | 35,505 | 35,505.0 | ✔ |
1-MOHAN ANAND | Lib | 14,767 | 14,767.0 | |||
1-JAY JACKSON | NDP | 2,833 | 2,833.0 | |||
1-BILL CHAMP | Grn | 806 | 806.0 | |||
1-GIUSEPPE GORI | FCP | 755 | 755.0 | |||
ON-29 |
This data can not be used to predict outcomes for individual candidates. | 1-DOMINIC AGOSTINO | Lib | 17,891 | 17,891.0 | ✔ |
1-PETE PRESTON | Con | 7,414 | 7,414.0 | |||
1-BOB SUTTON | NDP | 6,304 | 6,304.0 | |||
1-JIM HOWLETT | Grn | 496 | 496.0 | |||
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 | |||
ON-30 |
This data can not be used to predict outcomes for individual candidates. | 1-MARIE BOUNTROGIANNI | Lib | 19,076 | 19,076.0 | ✔ |
1-TREVOR PETTIT | Con | 16,397 | 16,397.0 | |||
1-CHRIS CHARLTON | NDP | 10,622 | 10,622.0 | |||
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-DAVID CHRISTOPHERSON | NDP | 15,625 | 15,625.0 | ✔ |
1-LILLIAN ROSS | Con | 12,261 | 12,261.0 | |||
1-FRANK D'AMICO | Lib | 12,037 | 12,037.0 | |||
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 | 20,395.0 | ✔ |
1-HARRY DANFORD | Con | 18,553 | 18,553.0 | |||
1-ALLAN MCPHAIL | NDP | 3,008 | 3,008.0 | |||
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 | 20,772.0 | ✔ |
1-ROSS LAMONT | Lib | 18,993 | 18,993.0 | |||
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 | 14,269.0 | ✔ |
1-FRANK MICLASH | Lib | 11,209 | 11,209.0 | |||
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-PAT HOY | Lib | 24,239 | 24,239.0 | ✔ |
1-JACK CARROLL | Con | 16,238 | 16,238.0 | |||
1-BRIAN SHARP | NDP | 2,316 | 2,316.0 | |||
1-GREG ZOLAD | Grn | 462 | 462.0 | |||
ON-36 |
This data can not be used to predict outcomes for individual candidates. | 1-JOHN GERRETSEN | Lib | 26,355 | 26,355.0 | ✔ |
1-BOB PICKERING | Con | 14,487 | 14,487.0 | |||
1-BETH PATER | NDP | 5,436 | 5,436.0 | |||
1-CHRIS WALKER | Grn | 1,174 | 1,174.0 | |||
1-CHRIS BENETEAU | FCP | 546 | 546.0 | |||
1-GERARD MORRIS | NLP | 182 | 182.0 | |||
ON-37 |
This data can not be used to predict outcomes for individual candidates. | 1-WAYNE WETTLAUFER | Con | 22,593 | 22,593.0 | ✔ |
1-BERRY VRBANOVIC | Lib | 17,984 | 17,984.0 | |||
1-DAVID BROHMAN | NDP | 3,494 | 3,494.0 | |||
1-SUSAN KOSWAN | Grn | 561 | 561.0 | |||
1-ROY ANDERSON | NLP | 204 | 204.0 | |||
1-IRVINE CONNER | Ind | 109 | 216.0 | |||
1-JULIAN ICHIM | Ind | 107 | 0.0 | |||
ON-38 |
This data can not be used to predict outcomes for individual candidates. | 1-ELIZABETH WITMER | Con | 27,830 | 27,830.0 | ✔ |
1-SEAN STRICKLAND | Lib | 18,034 | 18,034.0 | |||
1-TED MARTIN | NDP | 3,122 | 3,122.0 | |||
1-LOU REITZEL | FCP | 919 | 919.0 | |||
1-JUDY GREENWOOD-SPEERS | Grn | 836 | 836.0 | |||
1-MATTHEW ALBRECHT | Ind | 202 | 324.0 | |||
1-RICHARD BEECROFT | NLP | 135 | 135.0 | |||
1-HELMUT BRAUN | Ind | 122 | 0.0 | |||
ON-39 |
This data can not be used to predict outcomes for individual candidates. | 1-MARCEL BEAUBIEN | Con | 19,561 | 19,561.0 | ✔ |
1-LARRY O'NEILL | Lib | 18,665 | 18,665.0 | |||
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-NORM STERLING | Con | 31,364 | 31,364.0 | ✔ |
1-DWIGHT EASTMAN | Lib | 17,323 | 17,323.0 | |||
1-SHEILA SANSOME | NDP | 2,713 | 2,713.0 | |||
1-JANNE CAMPBELL | FCP | 1,450 | 1,450.0 | |||
1-STUART LANGSTAFF | Grn | 681 | 681.0 | |||
1-ANGELA HEA | NLP | 171 | 171.0 | |||
ON-41 |
This data can not be used to predict outcomes for individual candidates. | 1-BOB RUNCIMAN | Con | 23,390 | 23,390.0 | ✔ |
1-DON CAMERON | Lib | 17,307 | 17,307.0 | |||
1-JIM MURRAY | NDP | 2,097 | 2,097.0 | |||
1-KEN BLACKBURN | Grn | 1,008 | 1,008.0 | |||
1-BRITT ROBERTS | NLP | 244 | 244.0 | |||
ON-42 |
This data can not be used to predict outcomes for individual candidates. | 1-DIANNE CUNNINGHAM | Con | 18,320 | 18,320.0 | ✔ |
1-MARION BOYD | NDP | 16,611 | 16,611.0 | |||
1-ROGER CARANCI | Lib | 9,518 | 9,518.0 | |||
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-FRANK MAZZILLI | Con | 15,295 | 15,295.0 | ✔ |
1-PETER MANCINI | Lib | 13,912 | 13,912.0 | |||
1-IRENE MATHYSSEN | NDP | 9,788 | 9,788.0 | |||
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-BOB WOOD | Con | 22,761 | 22,761.0 | ✔ |
1-DARREL SKIDMORE | Lib | 22,467 | 22,467.0 | |||
1-SANDRA MCNEE | NDP | 4,628 | 4,628.0 | |||
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-DAVID TSUBOUCHI | Con | 26,083 | 26,083.0 | ✔ |
1-STEVEN KIRSCH | Lib | 12,859 | 12,859.0 | |||
1-JANICE HAGAN | NDP | 1,594 | 1,594.0 | |||
1-MIKE DUBINSKY | NLP | 640 | 640.0 | |||
1-BERNADETTE MANNING | Grn | 437 | 437.0 | |||
1-PAT REDMOND | FCP | 399 | 399.0 | |||
ON-46 |
This data can not be used to predict outcomes for individual candidates. | 1-ROB SAMPSON | Con | 18,688 | 18,688.0 | ✔ |
1-GEORGE WINTER | Lib | 14,572 | 14,572.0 | |||
1-GAIL MCCABE | NDP | 1,820 | 1,820.0 | |||
1-BOB HARRINGTON | NLP | 1,117 | 1,117.0 | |||
ON-47 |
This data can not be used to predict outcomes for individual candidates. | 1-CARL DEFARIA | Con | 17,688 | 17,688.0 | ✔ |
1-SHAN PADDA | Lib | 13,371 | 13,371.0 | |||
1-JAMES KAFIEH | NDP | 2,484 | 2,484.0 | |||
1-PIERRE CHENIER | Ind | 469 | 469.0 | |||
1-GREG MYTRON | NLP | 282 | 282.0 | |||
ON-48 |
This data can not be used to predict outcomes for individual candidates. | 1-MARGARET MARLAND | Con | 23,890 | 23,890.0 | ✔ |
1-IEVA MARTIN | Lib | 12,275 | 12,275.0 | |||
1-KEN COLE | NDP | 2,293 | 2,293.0 | |||
1-TIM SULLIVAN | Ind | 535 | 535.0 | |||
ON-49 |
This data can not be used to predict outcomes for individual candidates. | 1-JOHN SNOBELEN | Con | 26,816 | 26,816.0 | ✔ |
1-BOB DELANEY | Lib | 17,792 | 17,792.0 | |||
1-MAXINE CARON | NDP | 1,795 | 1,795.0 | |||
1-FRED FREDEEN | NLP | 387 | 387.0 | |||
ON-50 |
This data can not be used to predict outcomes for individual candidates. | 1-JOHN BAIRD | Con | 31,546 | 31,546.0 | ✔ |
1-GORD HUNTER | Lib | 16,809 | 16,809.0 | |||
1-CRAIG PARSONS | NDP | 1,647 | 1,647.0 | |||
1-BILL FRAMPTON | Free | 386 | 386.0 | |||
1-BRIAN E. JACKSON | NLP | 239 | 239.0 | |||
ON-51 |
This data can not be used to predict outcomes for individual candidates. | 1-PETER KORMOS | NDP | 21,856 | 21,856.0 | ✔ |
1-FRANK SHEEHAN | Con | 17,217 | 17,217.0 | |||
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 | 18,497.0 | ✔ |
1-SELINA VOLPATTI | Lib | 17,080 | 17,080.0 | |||
1-CLAUDE SONIER | NDP | 3,985 | 3,985.0 | |||
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-SHELLEY MARTEL | NDP | 14,833 | 14,833.0 | ✔ |
1-GERRY COURTEMANCHE | Con | 10,359 | 10,359.0 | |||
1-RON DUPUIS | Lib | 10,165 | 10,165.0 | |||
ON-54 |
This data can not be used to predict outcomes for individual candidates. | 1-MIKE HARRIS | Con | 19,498 | 19,498.0 | ✔ |
1-GEORGE MAROOSIS | Lib | 16,682 | 16,682.0 | |||
1-WENDY YOUNG | NDP | 1,878 | 1,878.0 | |||
1-JAIMIE BOARD | Grn | 366 | 366.0 | |||
1-MICHAELE MORRIS | NLP | 246 | 246.0 | |||
ON-55 |
This data can not be used to predict outcomes for individual candidates. | 1-DOUG GALT | Con | 20,535 | 20,535.0 | ✔ |
1-CAROLYN CAMPBELL | Lib | 19,632 | 19,632.0 | |||
1-MURRAY WEPPLER | NDP | 2,820 | 2,820.0 | |||
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-FRANK KLEES | Con | 30,432 | 30,432.0 | ✔ |
1-VITO SPATAFORA | Lib | 17,427 | 17,427.0 | |||
1-CHRIS MOISE | NDP | 1,957 | 1,957.0 | |||
1-STEVEN HAYLESTROM | Grn | 914 | 914.0 | |||
ON-57 |
This data can not be used to predict outcomes for individual candidates. | 1-GARY CARR | Con | 27,767 | 27,767.0 | ✔ |
1-KEVIN FLYNN | Lib | 14,689 | 14,689.0 | |||
1-SEAN CAIN | NDP | 1,667 | 1,667.0 | |||
1-ADRIAN RATELLE | FCP | 530 | 530.0 | |||
1-LINDA ANTONICHUK | NLP | 202 | 202.0 | |||
ON-58 |
This data can not be used to predict outcomes for individual candidates. | 1-JERRY J. OUELLETTE | Con | 18,915 | 18,915.0 | ✔ |
1-CHRIS TOPPLE | Lib | 11,740 | 11,740.0 | |||
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 | 17,956.0 | ✔ |
1-RAY KOSTUCH | Con | 15,403 | 15,403.0 | |||
1-ELISABETH ARNOLD | NDP | 11,977 | 11,977.0 | |||
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-DALTON MCGUINTY | Lib | 22,707 | 22,707.0 | ✔ |
1-MIKE NICHOLSON | Con | 19,337 | 19,337.0 | |||
1-JAMES MCLAREN | NDP | 2,655 | 2,655.0 | |||
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-CLAUDETTE BOYER | Lib | 21,009 | 21,009.0 | ✔ |
1-MAURICE LAMIRANDE | Con | 12,605 | 12,605.0 | |||
1-DAVID GAGNON | NDP | 4,163 | 4,163.0 | |||
1-RICHARD BRIGGS | Grn | 953 | 953.0 | |||
1-PIERRETTE BLONDIN | NLP | 580 | 580.0 | |||
1-KEVIN DUMONT CORKILL | Ind | 310 | 310.0 | |||
ON-62 |
This data can not be used to predict outcomes for individual candidates. | 1-GARRY GUZZO | Con | 22,834 | 22,834.0 | ✔ |
1-RICK CHIARELLI | Lib | 16,419 | 16,419.0 | |||
1-ALEX CULLEN | NDP | 7,701 | 7,701.0 | |||
1-RICHARD WARMAN | Grn | 453 | 453.0 | |||
1-MEGAN HNATIW | Ind | 129 | 223.0 | |||
1-JOHN TURMEL | Ind | 94 | 0.0 | |||
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-ERNIE HARDEMAN | Con | 22,726 | 22,726.0 | ✔ |
1-BRIAN BROWN | Lib | 15,160 | 15,160.0 | |||
1-MARTIN DONLEVY | NDP | 3,077 | 3,077.0 | |||
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 | |||
ON-64 |
This data can not be used to predict outcomes for individual candidates. | 1-GERARD KENNEDY | Lib | 23,022 | 23,022.0 | ✔ |
1-ANNAMARIE CASTRILLI | Con | 12,647 | 12,647.0 | |||
1-IRENE ATKINSON | NDP | 4,937 | 4,937.0 | |||
1-FRANK DE JONG | Grn | 500 | 500.0 | |||
1-DOUG BURN | Lbt | 325 | 325.0 | |||
1-STAN J. GRZYWNA | FCP | 289 | 289.0 | |||
1-J. LYNNE HEA | NLP | 99 | 99.0 | |||
1-JORGE VAN SCHOUWEN | Ind | 99 | 99.0 | |||
ON-65 |
This data can not be used to predict outcomes for individual candidates. | 1-ERNIE EVES | Con | 22,967 | 22,967.0 | ✔ |
1-ISABEL DOXEY | Lib | 10,970 | 10,970.0 | |||
1-DAN WATERS | NDP | 5,343 | 5,343.0 | |||
1-IRIS TAMSSOT | NLP | 339 | 339.0 | |||
ON-66 |
This data can not be used to predict outcomes for individual candidates. | 1-BERT JOHNSON | Con | 22,065 | 22,065.0 | ✔ |
1-JOHN WILKINSON | Lib | 15,428 | 15,428.0 | |||
1-WALTER EDMUND VERNON | NDP | 3,053 | 3,053.0 | |||
1-PAT BANNON | FCP | 1,369 | 1,369.0 | |||
1-ROBERT J.W. SMINK | Free | 521 | 521.0 | |||
ON-67 |
This data can not be used to predict outcomes for individual candidates. | 1-GARY STEWART | Con | 24,422 | 24,422.0 | ✔ |
1-JEFF LEAL | Lib | 21,820 | 21,820.0 | |||
1-DAVE NICKLE | NDP | 7,058 | 7,058.0 | |||
1-LARRY J. TYLDSLEY | Grn | 598 | 598.0 | |||
1-BOB BOWERS | Ind | 151 | 276.0 | |||
1-KENNETH BURGESS | Ind | 125 | 0.0 | |||
1-ROBERT MAYER | NLP | 106 | 106.0 | |||
ON-68 |
This data can not be used to predict outcomes for individual candidates. | 1-JANET ECKER | Con | 28,661 | 28,661.0 | ✔ |
1-DAVE RYAN | Lib | 16,881 | 16,881.0 | |||
1-JIM WISEMAN | NDP | 2,814 | 2,814.0 | |||
1-CHRIS PENNINGTON | Grn | 703 | 703.0 | |||
1-BOB RIAZ | NLP | 191 | 191.0 | |||
ON-69 |
This data can not be used to predict outcomes for individual candidates. | 1-ERNIE PARSONS | Lib | 17,987 | 17,987.0 | ✔ |
1-GARY FOX | Con | 17,931 | 17,931.0 | |||
1-BEV CAMPBELL | NDP | 2,877 | 2,877.0 | |||
1-SHAWN TALBOT | Grn | 441 | 441.0 | |||
1-MARIE HINEMAN | COR | 203 | 203.0 | |||
1-KEVIN RIVERS | Ind | 188 | 321.0 | |||
1-TRUEMAN TUCK | Ind | 133 | 0.0 | |||
1-SYLVIE POIRIER | NLP | 111 | 111.0 | |||
ON-70 |
This data can not be used to predict outcomes for individual candidates. | 1-SEAN CONWAY | Lib | 23,435 | 23,435.0 | ✔ |
1-LEO JORDAN | Con | 17,738 | 17,738.0 | |||
1-GERRY BOYER | NDP | 2,295 | 2,295.0 | |||
1-THANE C. HEINS | Grn | 287 | 287.0 | |||
1-ANDRÉ GIORDANO | NLP | 172 | 172.0 | |||
ON-71 |
This data can not be used to predict outcomes for individual candidates. | 1-CAROLINE DI COCCO | Lib | 19,440 | 19,440.0 | ✔ |
1-DAVE BOUSHY | Con | 16,679 | 16,679.0 | |||
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-TONY MARTIN | NDP | 15,949 | 15,949.0 | ✔ |
1-JAMES CAICCO | Con | 10,477 | 10,477.0 | |||
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-GERRY PHILLIPS | Lib | 18,698 | 18,698.0 | ✔ |
1-JIM BROWN | Con | 15,915 | 15,915.0 | |||
1-BOB FRANKFORD | NDP | 1,319 | 1,319.0 | |||
1-GARY CARMICHAEL | Grn | 451 | 451.0 | |||
1-WAYNE COOK | Ind | 371 | 371.0 | |||
1-KEN MORGAN | NLP | 129 | 129.0 | |||
ON-74 |
This data can not be used to predict outcomes for individual candidates. | 1-MARILYN MUSHINSKI | Con | 18,189 | 18,189.0 | ✔ |
1-COSTAS MANIOS | Lib | 14,565 | 14,565.0 | |||
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-STEVE GILCHRIST | Con | 20,686 | 20,686.0 | ✔ |
1-PETER VANDERYAGT | Lib | 17,084 | 17,084.0 | |||
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-ALVIN CURLING | Lib | 20,052 | 20,052.0 | ✔ |
1-MUBASHAR DAR | Con | 12,061 | 12,061.0 | |||
1-PAULETTE SENIOR | NDP | 2,138 | 2,138.0 | |||
1-BETTY PETERS | FCP | 489 | 489.0 | |||
1-LOU DUBE | NLP | 284 | 284.0 | |||
ON-77 |
This data can not be used to predict outcomes for individual candidates. | 1-DAN NEWMAN | Con | 15,349 | 15,349.0 | ✔ |
1-ADRIAN HEAPS | Lib | 12,992 | 12,992.0 | |||
1-MICHAEL YORKE | NDP | 8,962 | 8,962.0 | |||
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-JIM WILSON | Con | 31,984 | 31,984.0 | ✔ |
1-NORMAN SANDBERG | Lib | 12,815 | 12,815.0 | |||
1-MARY HART | NDP | 3,662 | 3,662.0 | |||
ON-79 |
This data can not be used to predict outcomes for individual candidates. | 1-GARFIELD DUNLOP | Con | 26,160 | 26,160.0 | ✔ |
1-GEORGE MACDONALD | Lib | 19,209 | 19,209.0 | |||
1-ANN BILLINGS | NDP | 2,913 | 2,913.0 | |||
1-HARRY PROMM | Grn | 633 | 633.0 | |||
1-WILLIAM ROBERT AYLING | NLP | 305 | 305.0 | |||
ON-80 |
This data can not be used to predict outcomes for individual candidates. | 1-JIM BRADLEY | Lib | 25,186 | 25,186.0 | ✔ |
1-TOM FROESE | Con | 17,994 | 17,994.0 | |||
1-GORDON COGGINS | NDP | 2,902 | 2,902.0 | |||
1-HELENE DARISSE | NLP | 272 | 272.0 | |||
1-DOUG WOODARD | Grn | 215 | 215.0 | |||
1-RON WALKER | Ind | 154 | 154.0 | |||
ON-81 |
This data can not be used to predict outcomes for individual candidates. | 1-MICHAEL BRYANT | Lib | 23,755 | 23,755.0 | ✔ |
1-ISABEL BASSETT | Con | 18,973 | 18,973.0 | |||
1-LARRY SOLWAY | NDP | 3,350 | 3,350.0 | |||
1-DON ROEBUCK | Grn | 326 | 326.0 | |||
1-PHILIP FERNANDEZ | Ind | 194 | 378.0 | |||
1-LINDA MARTIN | NLP | 188 | 188.0 | |||
1-ANTONIO MARISTANES | Ind | 184 | 0.0 | |||
ON-82 |
This data can not be used to predict outcomes for individual candidates. | 1-BRAD CLARK | Con | 21,462 | 21,462.0 | ✔ |
1-CHRIS PHILLIPS | Lib | 18,840 | 18,840.0 | |||
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 | 20,275.0 | ✔ |
1-NOBLE VILLENEUVE | Con | 19,635 | 19,635.0 | |||
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-RICK BARTOLUCCI | Lib | 21,732 | 21,732.0 | ✔ |
1-MILA WONG | Con | 10,948 | 10,948.0 | |||
1-PAUL CHISLETT | NDP | 3,891 | 3,891.0 | |||
1-BERNARD FRAM | NLP | 184 | 184.0 | |||
1-ED POKONZIE | Ind | 159 | 262.0 | |||
1-J. DAVID POPESCU | Ind | 103 | 0.0 | |||
ON-85 |
This data can not be used to predict outcomes for individual candidates. | 1-TINA MOLINARI | Con | 19,580 | 19,580.0 | ✔ |
1-DAN RONEN | Lib | 19,237 | 19,237.0 | |||
1-NATHAN ROTMAN | NDP | 1,438 | 1,438.0 | |||
1-RUTH VON BEZOLD | Grn | 360 | 360.0 | |||
ON-86 |
This data can not be used to predict outcomes for individual candidates. | 1-LYN MCLEOD | Lib | 20,268 | 20,268.0 | ✔ |
1-JOHN HENDERSON | Con | 6,081 | 6,081.0 | |||
1-JACK DREWES | NDP | 5,304 | 5,304.0 | |||
ON-87 |
This data can not be used to predict outcomes for individual candidates. | 1-MICHAEL GRAVELLE | Lib | 19,249 | 19,249.0 | ✔ |
1-NATHALIE GALESLOOT | NDP | 5,864 | 5,864.0 | |||
1-ED LINKEWICH | Con | 5,683 | 5,683.0 | |||
1-ROBERT WOITO | Ind | 431 | 431.0 | |||
1-CARL ROSE | Grn | 382 | 382.0 | |||
ON-88 |
This data can not be used to predict outcomes for individual candidates. | 1-DAVID RAMSAY | Lib | 16,877 | 16,877.0 | ✔ |
1-RICK BRASSARD | Con | 10,374 | 10,374.0 | |||
1-LEN WOOD | NDP | 7,631 | 7,631.0 | |||
ON-89 |
This data can not be used to predict outcomes for individual candidates. | 1-GILLES BISSON | NDP | 16,504 | 16,504.0 | ✔ |
1-YVES MALETTE | Lib | 10,238 | 10,238.0 | |||
1-MARCEL PELCHAT | Con | 4,139 | 4,139.0 | |||
1-ED WALSH | Ind | 316 | 316.0 | |||
ON-90 |
This data can not be used to predict outcomes for individual candidates. | 1-GEORGE SMITHERMAN | Lib | 17,756 | 17,756.0 | ✔ |
1-DURHANE WONG-RIEGER | Con | 13,640 | 13,640.0 | |||
1-JOHN SEWELL | Ind | 8,822 | 9,058.0 | |||
1-HELEN BRESLAUER | NDP | 4,019 | 4,019.0 | |||
1-JOSEPH COHEN | Grn | 392 | 392.0 | |||
1-PAUL MCKEEVER | Free | 344 | 344.0 | |||
1-MIKE RYNER | Ind | 236 | 0.0 | |||
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-ROSARIO MARCHESE | NDP | 17,110 | 17,110.0 | ✔ |
1-ALBERT KOEHL | Lib | 9,817 | 9,817.0 | |||
1-CHRIS LORETO | Con | 7,323 | 7,323.0 | |||
1-SAT KHALSA | Grn | 612 | 612.0 | |||
1-RON ROBINS | NLP | 274 | 274.0 | |||
1-ROBERTO VERDECCHIA | Ind | 258 | 412.0 | |||
1-SILVIO URSOMARZO | Free | 182 | 182.0 | |||
1-RAYMOND SAMUELS | Ind | 154 | 0.0 | |||
ON-92 |
This data can not be used to predict outcomes for individual candidates. | 1-AL PALLADINI | Con | 28,836 | 28,836.0 | ✔ |
1-TONY GENCO | Lib | 21,173 | 21,173.0 | |||
1-MICHAEL SEAWARD | NDP | 1,539 | 1,539.0 | |||
1-JOHN W. GENSER | Lbt | 670 | 670.0 | |||
1-ERNST VON BEZOLD | Grn | 495 | 495.0 | |||
ON-93 |
This data can not be used to predict outcomes for individual candidates. | 1-CHRIS HODGSON | Con | 32,125 | 32,125.0 | ✔ |
1-SHARON MCCRAE | Lib | 14,556 | 14,556.0 | |||
1-RICK DENYER | NDP | 3,786 | 3,786.0 | |||
1-BRAD BRADAMORE | Ind | 340 | 340.0 | |||
1-CHARLES OLITO | Free | 198 | 198.0 | |||
1-MAXIM NEWBY | NLP | 135 | 135.0 | |||
ON-94 |
This data can not be used to predict outcomes for individual candidates. | 1-TED ARNOTT | Con | 26,286 | 26,286.0 | ✔ |
1-MARION REIDEL | Lib | 12,923 | 12,923.0 | |||
1-RICHARD WALSH-BOWERS | NDP | 2,306 | 2,306.0 | |||
1-GORD TRUSCOTT | FCP | 685 | 685.0 | |||
1-BRENT BOUTEILLER | Grn | 566 | 566.0 | |||
ON-95 |
This data can not be used to predict outcomes for individual candidates. | 1-TONI SKARICA | Con | 27,466 | 27,466.0 | ✔ |
1-VICKY WYLSON-SHER | Lib | 15,843 | 15,843.0 | |||
1-JESSICA BRENNAN | NDP | 3,990 | 3,990.0 | |||
ON-96 |
This data can not be used to predict outcomes for individual candidates. | 1-JIM FLAHERTY | Con | 27,623 | 27,623.0 | ✔ |
1-ALDO DIGIOVANNI | Lib | 16,235 | 16,235.0 | |||
1-BETTY ANN CRAIG | NDP | 3,889 | 3,889.0 | |||
ON-97 |
This data can not be used to predict outcomes for individual candidates. | 1-DAVID YOUNG | Con | 22,200 | 22,200.0 | ✔ |
1-FAHIMEH MORTAZAVI | Lib | 18,579 | 18,579.0 | |||
1-MIKAEL SWAYZE | NDP | 1,871 | 1,871.0 | |||
1-JIM CONRAD | FCP | 409 | 409.0 | |||
1-ELIZABETH RHODES | Grn | 330 | 330.0 | |||
1-BERNADETTE MICHAEL | Ind | 323 | 323.0 | |||
1-VAUGHAN BYRNES | Free | 152 | 152.0 | |||
1-CLAUDE VIAU | NLP | 75 | 75.0 | |||
ON-98 |
This data can not be used to predict outcomes for individual candidates. | 1-DWIGHT DUNCAN | Lib | 17,383 | 17,383.0 | ✔ |
1-WAYNE LESSARD | NDP | 13,171 | 13,171.0 | |||
1-MIKE ROHRER | Con | 7,241 | 7,241.0 | |||
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-SANDRA PUPATELLO | Lib | 24,388 | 24,388.0 | ✔ |
1-DAVID MCCAMON | Con | 6,229 | 6,229.0 | |||
1-LIAM MCCARTHY | NDP | 5,762 | 5,762.0 | |||
1-TIMOTHY DUGDALE | Grn | 420 | 420.0 | |||
1-ROBERT CRUISE | Ind | 270 | 270.0 | |||
1-LYNN TOBIN | NLP | 162 | 162.0 | |||
ON-100 |
This data can not be used to predict outcomes for individual candidates. | 1-MONTE KWINTER | Lib | 21,250 | 21,250.0 | ✔ |
1-ROBERT HAUSMAN | Con | 9,192 | 9,192.0 | |||
1-NORM JESIN | NDP | 3,721 | 3,721.0 | |||
1-ANGUS HUNT | NLP | 621 | 621.0 | |||
ON-101 |
This data can not be used to predict outcomes for individual candidates. | 1-JULIA MUNRO | Con | 29,613 | 29,613.0 | ✔ |
1-JOHN VOLPE | Lib | 15,755 | 15,755.0 | |||
1-STEVE SAYSELL | NDP | 2,236 | 2,236.0 | |||
1-KWOK-LIN MARY WAN | NLP | 305 | 305.0 | |||
ON-102 |
This data can not be used to predict outcomes for individual candidates. | 1-JOE CORDIANO | Lib | 18,205 | 18,205.0 | ✔ |
1-ALAN HOFMEISTER | Con | 7,471 | 7,471.0 | |||
1-ROSANA PELLIZZARI | NDP | 6,850 | 6,850.0 | |||
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 | 147.0 | |||
1-ERICA KINDL | NLP | 139 | 139.0 | |||
ON-103 |
This data can not be used to predict outcomes for individual candidates. | 1-MARIO SERGIO | Lib | 16,457 | 16,457.0 | ✔ |
1-CHRIS COLLIER | Con | 5,086 | 5,086.0 | |||
1-STEPHNIE PAYNE | NDP | 3,377 | 3,377.0 | |||
1-ANTHONY DAVISON | Grn | 427 | 427.0 | |||
1-MARK SCRAFFORD | NLP | 299 | 299.0 | |||
1-S. NICHOLAS C. LIN | Ind | 194 | 343.0 | |||
1-ROSEMARY ANN RAY | Ind | 149 | 0.0 |