Riding Results for First-Past-The-Post-1995 (1995 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-BUD WILDMAN | NDP | 6,190 | 6,190.0 | ✔ |
| 1-PHIL SABINE | Con | 4,602 | 4,602.0 | |||
| 1-PAULA DUNNING | Lib | 3,128 | 3,128.0 | |||
| ON-2 |
This data can not be used to predict outcomes for individual candidates. | 1-MIKE BROWN | Lib | 7,238 | 7,238.0 | ✔ |
| 1-JOYCE FOSTER | Con | 5,184 | 5,184.0 | |||
| 1-LOIS E. MILLER | NDP | 2,991 | 2,991.0 | |||
| ON-3 |
This data can not be used to predict outcomes for individual candidates. | 1-FRANCES LANKIN | NDP | 10,862 | 10,862.0 | ✔ |
| 1-LYNDA BUFFETT | Con | 7,923 | 7,923.0 | |||
| 1-STEPHEN LAUTENS | Lib | 6,158 | 6,158.0 | |||
| 1-BRAD ALLEN | Ind | 319 | 319.0 | |||
| 1-MIGUEL FIGUEROA | Com | 169 | 169.0 | |||
| 1-DONALDA G. FREDEEN | NLP | 162 | 162.0 | |||
| ON-4 |
This data can not be used to predict outcomes for individual candidates. | 1-JOE SPINA | Con | 20,148 | 20,148.0 | ✔ |
| 1-CARMAN MC CLELLAND | Lib | 14,800 | 14,800.0 | |||
| 1-JOHN DEVRIES | NDP | 5,288 | 5,288.0 | |||
| 1-LESTER NEWBY | NLP | 494 | 494.0 | |||
| ON-5 |
This data can not be used to predict outcomes for individual candidates. | 1-TONY CLEMENT | Con | 21,859 | 21,859.0 | ✔ |
| 1-BOB CALLAHAN | Lib | 15,237 | 15,237.0 | |||
| 1-PAUL LEDGISTER | NDP | 5,676 | 5,676.0 | |||
| 1-BERNIE CISSEK | FCP | 1,011 | 1,011.0 | |||
| 1-MAXIM NEWBY | NLP | 229 | 229.0 | |||
| ON-6 |
This data can not be used to predict outcomes for individual candidates. | 1-RON JOHNSON | Con | 13,745 | 13,745.0 | ✔ |
| 1-DAVE NEUMANN | Lib | 10,418 | 10,418.0 | |||
| 1-BRAD WARD | NDP | 8,165 | 8,165.0 | |||
| 1-PAUL VANDERVET | FCP | 762 | 762.0 | |||
| 1-BILL DARFLER | Grn | 430 | 430.0 | |||
| ON-7 |
This data can not be used to predict outcomes for individual candidates. | 1-PETER PRESTON | Con | 14,184 | 14,184.0 | ✔ |
| 1-RON EDDY | Lib | 10,589 | 10,589.0 | |||
| 1-WILLEM HANRATH | NDP | 3,030 | 3,030.0 | |||
| 1-STEVE ELGERSMA | FCP | 1,340 | 1,340.0 | |||
| 1-TERRY CHILDS | Grn | 527 | 527.0 | |||
| ON-8 |
This data can not be used to predict outcomes for individual candidates. | 1-BARB FISHER | Con | 13,680 | 13,680.0 | ✔ |
| 1-BRUCE LAUCKNER | Lib | 11,004 | 11,004.0 | |||
| 1-ROBERT EMERSON | NDP | 4,269 | 4,269.0 | |||
| 1-JOHN CLARK | FCP | 2,787 | 2,787.0 | |||
| 1-CATHERINE YOUNG | Grn | 296 | 296.0 | |||
| ON-9 |
This data can not be used to predict outcomes for individual candidates. | 1-CAM JACKSON | Con | 24,831 | 24,831.0 | ✔ |
| 1-RAY RIVERS | Lib | 5,415 | 5,415.0 | |||
| 1-DAVID MILES | NDP | 3,507 | 3,507.0 | |||
| 1-EMIDIO CORVARO | FCP | 470 | 470.0 | |||
| ON-10 |
This data can not be used to predict outcomes for individual candidates. | 1-GERRY MARTINIUK | Con | 17,269 | 17,269.0 | ✔ |
| 1-MIKE FARNAN | NDP | 11,797 | 11,797.0 | |||
| 1-BEN TUCCI | Lib | 5,606 | 5,606.0 | |||
| 1-AL SMITH | FCP | 1,690 | 1,690.0 | |||
| 1-REG GERVAIS | Ind | 433 | 433.0 | |||
| ON-11 |
This data can not be used to predict outcomes for individual candidates. | 1-NORMAN W. STERLING | Con | 28,349 | 28,349.0 | ✔ |
| 1-SAM SPATARO | Lib | 9,743 | 9,743.0 | |||
| 1-CATHY HALLESSEY | NDP | 4,046 | 4,046.0 | |||
| 1-JANNE JARDINE-CAMPBELL | FCP | 942 | 942.0 | |||
| 1-BARBARA ROWE | Lbt | 293 | 293.0 | |||
| 1-RICHARD BEECROFT | NLP | 265 | 265.0 | |||
| ON-12 |
This data can not be used to predict outcomes for individual candidates. | 1-GILLES MORIN | Lib | 17,780 | 17,780.0 | ✔ |
| 1-JEFF SLATER | Con | 13,571 | 13,571.0 | |||
| 1-FIONA FAUCHER | NDP | 4,783 | 4,783.0 | |||
| 1-IAN A.G. CAMPBELL | NLP | 758 | 758.0 | |||
| ON-13 |
This data can not be used to predict outcomes for individual candidates. | 1-JACK CARROLL | Con | 10,461 | 10,461.0 | ✔ |
| 1-MIKE FERGUSON | Lib | 9,915 | 9,915.0 | |||
| 1-RANDY HOPE | NDP | 7,444 | 7,444.0 | |||
| 1-DAVID K. EDWARDS | FCP | 1,008 | 1,008.0 | |||
| ON-14 |
This data can not be used to predict outcomes for individual candidates. | 1-LEN WOOD | NDP | 6,935 | 6,935.0 | ✔ |
| 1-GILLES GAGNON | Lib | 4,952 | 4,952.0 | |||
| 1-LOUIS VEILLEUX | Con | 3,316 | 3,316.0 | |||
| ON-15 |
This data can not be used to predict outcomes for individual candidates. | 1-GILLES BISSON | NDP | 12,114 | 12,114.0 | ✔ |
| 1-GORD MILLER | Con | 6,587 | 6,587.0 | |||
| 1-JIM BROWN | Lib | 4,058 | 4,058.0 | |||
| 1-JOEL VIEN | Ind | 339 | 339.0 | |||
| ON-16 |
This data can not be used to predict outcomes for individual candidates. | 1-JOHN C. CLEARY | Lib | 14,507 | 14,507.0 | ✔ |
| 1-KEITH CLINGEN | Con | 7,838 | 7,838.0 | |||
| 1-SYD GARDINER | NDP | 1,719 | 1,719.0 | |||
| 1-BERNISE FEATHERSTONE | NLP | 236 | 236.0 | |||
| ON-17 |
This data can not be used to predict outcomes for individual candidates. | 1-DAVE JOHNSON | Con | 14,897 | 14,897.0 | ✔ |
| 1-RICHARD GOSLING | Lib | 7,607 | 7,607.0 | |||
| 1-JANAKI BALA-KRISHNAN | NDP | 4,569 | 4,569.0 | |||
| 1-DAVID PENGELLY | Free | 253 | 253.0 | |||
| 1-MARIO M. RIBEIRO | Ind | 243 | 362.0 | |||
| 1-LAWRENCE CORP | NLP | 231 | 231.0 | |||
| 1-LEE WILDGEN | Ind | 119 | 0.0 | |||
| ON-18 |
This data can not be used to predict outcomes for individual candidates. | 1-TONY SILIPO | NDP | 9,049 | 9,049.0 | ✔ |
| 1-MARIA DASILVA-SKULTETY | Lib | 5,561 | 5,561.0 | |||
| 1-MALCOLM MANSFIELD | Con | 3,560 | 3,560.0 | |||
| 1-SHELLY LIPSEY | Grn | 390 | 390.0 | |||
| 1-AMANI OAKLEY | Ind | 261 | 261.0 | |||
| 1-ERICA KINDL | NLP | 179 | 179.0 | |||
| 1-DOUGLAS QUINN | Lbt | 161 | 161.0 | |||
| ON-19 |
This data can not be used to predict outcomes for individual candidates. | 1-ANNAMARIE CASTRILLI | Lib | 9,142 | 9,142.0 | ✔ |
| 1-ANTHONY PERRUZZA | NDP | 8,782 | 8,782.0 | |||
| 1-FRANK ELLIS | Con | 4,444 | 4,444.0 | |||
| 1-DONATO DE DOMINICIS | Ind | 572 | 572.0 | |||
| 1-TIINA LEIVO | Grn | 217 | 217.0 | |||
| ON-20 |
This data can not be used to predict outcomes for individual candidates. | 1-DAVID TILSON | Con | 23,239 | 23,239.0 | ✔ |
| 1-MAVIS WILSON | Lib | 8,501 | 8,501.0 | |||
| 1-SANDRA CRANE | NDP | 3,470 | 3,470.0 | |||
| ON-21 |
This data can not be used to predict outcomes for individual candidates. | 1-JIM FLAHERTY | Con | 25,107 | 25,107.0 | ✔ |
| 1-ALLAN FURLONG | Lib | 9,808 | 9,808.0 | |||
| 1-DRUMMOND WHITE | NDP | 8,120 | 8,120.0 | |||
| ON-22 |
This data can not be used to predict outcomes for individual candidates. | 1-JOHN O'TOOLE | Con | 24,303 | 24,303.0 | ✔ |
| 1-GORD MILLS | NDP | 8,519 | 8,519.0 | |||
| 1-MARY NOVAK | Lib | 6,512 | 6,512.0 | |||
| ON-23 |
This data can not be used to predict outcomes for individual candidates. | 1-JANET ECKER | Con | 29,232 | 29,232.0 | ✔ |
| 1-JOE DICKSON | Lib | 13,974 | 13,974.0 | |||
| 1-JIM WISEMAN | NDP | 9,444 | 9,444.0 | |||
| 1-NEIL FONSEKA | Ind | 904 | 904.0 | |||
| ON-24 |
This data can not be used to predict outcomes for individual candidates. | 1-JULIA MUNRO | Con | 25,018 | 25,018.0 | ✔ |
| 1-LARRY O'CONNOR | NDP | 8,048 | 8,048.0 | |||
| 1-DAVID MARQUIS | Lib | 7,512 | 7,512.0 | |||
| 1-VINCENT ARTYMKO | FCP | 845 | 845.0 | |||
| ON-25 |
This data can not be used to predict outcomes for individual candidates. | 1-BILL SAUNDERSON | Con | 17,496 | 17,496.0 | ✔ |
| 1-DIANNE POOLE | Lib | 12,904 | 12,904.0 | |||
| 1-ADAM DI CARLO | NDP | 4,597 | 4,597.0 | |||
| 1-DAN KING | Grn | 395 | 395.0 | |||
| 1-LINDA MARTIN | NLP | 325 | 325.0 | |||
| 1-FERNAND DESCHAMPS | Ind | 123 | 123.0 | |||
| ON-26 |
This data can not be used to predict outcomes for individual candidates. | 1-PETER NORTH | Ind | 12,436 | 12,436.0 | ✔ |
| 1-JIM WILLIAMS | Con | 10,660 | 10,660.0 | |||
| 1-BARRY FITZGERALD | Lib | 5,801 | 5,801.0 | |||
| 1-HUGH MAC GINNIS | NDP | 3,445 | 3,445.0 | |||
| 1-RAY MONTEITH | Free | 565 | 565.0 | |||
| ON-27 |
This data can not be used to predict outcomes for individual candidates. | 1-PAT HOY | Lib | 10,130 | 10,130.0 | ✔ |
| 1-GEORGE KENNEDY | Con | 8,384 | 8,384.0 | |||
| 1-PAT HAYES | NDP | 7,837 | 7,837.0 | |||
| 1-STEVE POSTHUMUS | FCP | 1,022 | 1,022.0 | |||
| ON-28 |
This data can not be used to predict outcomes for individual candidates. | 1-BRUCE CROZIER | Lib | 14,513 | 14,513.0 | ✔ |
| 1-DAVE J. WYLUPEK | Con | 5,730 | 5,730.0 | |||
| 1-DAVE MARIS | NDP | 4,348 | 4,348.0 | |||
| 1-JOYCE CHERRY | FCP | 1,550 | 1,550.0 | |||
| 1-DAVID MITCHELL | NLP | 498 | 498.0 | |||
| ON-29 |
This data can not be used to predict outcomes for individual candidates. | 1-DOUG FORD | Con | 18,128 | 18,128.0 | ✔ |
| 1-JIM HENDERSON | Lib | 13,634 | 13,634.0 | |||
| 1-OSMAN A. ALI | NDP | 3,100 | 3,100.0 | |||
| 1-OMAR MOHAMED | Ind | 257 | 308.0 | |||
| 1-LAWRENCE STARANCHUK | NLP | 196 | 196.0 | |||
| 1-MOHAMED D. SHEIK-NOR | Ind | 51 | 0.0 | |||
| ON-30 |
This data can not be used to predict outcomes for individual candidates. | 1-MORLEY KELLS | Con | 14,879 | 14,879.0 | ✔ |
| 1-BRUCE DAVIS | Lib | 9,074 | 9,074.0 | |||
| 1-RUTH GRIER | NDP | 8,279 | 8,279.0 | |||
| 1-DANIEL HUNT | Lbt | 270 | 270.0 | |||
| 1-GERALDINE JACKSON | NLP | 209 | 209.0 | |||
| 1-JULIE NORTHRUP | Ind | 186 | 186.0 | |||
| ON-31 |
This data can not be used to predict outcomes for individual candidates. | 1-JOHN HASTINGS | Con | 9,521 | 9,521.0 | ✔ |
| 1-ED PHILIP | NDP | 8,668 | 8,668.0 | |||
| 1-LORRAINE NOWINA | Lib | 7,173 | 7,173.0 | |||
| 1-DIANE JOHNSTON | Ind | 488 | 488.0 | |||
| 1-MIKI STARANCHUK | NLP | 188 | 188.0 | |||
| ON-32 |
This data can not be used to predict outcomes for individual candidates. | 1-CHRIS STOCKWELL | Con | 18,349 | 18,349.0 | ✔ |
| 1-MICHAEL BROWN | Lib | 9,826 | 9,826.0 | |||
| 1-JUDY JONES | NDP | 4,608 | 4,608.0 | |||
| 1-LAUREEN G. AMOS | NLP | 399 | 399.0 | |||
| ON-33 |
This data can not be used to predict outcomes for individual candidates. | 1-LYN MCLEOD | Lib | 15,681 | 15,681.0 | ✔ |
| 1-EVELYN DODDS | Con | 7,116 | 7,116.0 | |||
| 1-GREG LAWS | NDP | 4,561 | 4,561.0 | |||
| ON-34 |
This data can not be used to predict outcomes for individual candidates. | 1-ROSARIO MARCHESE | NDP | 10,762 | 10,762.0 | ✔ |
| 1-BOB WONG | Lib | 8,482 | 8,482.0 | |||
| 1-JACOB JOEL GINSBERG | Con | 6,025 | 6,025.0 | |||
| 1-KEVIN ELLS | Grn | 300 | 300.0 | |||
| 1-PAUL N.G. BARKER | Lbt | 266 | 266.0 | |||
| 1-MATTHEW SHEPHERD | Ind | 140 | 269.0 | |||
| 1-MAURICE SEGUIN | NLP | 133 | 133.0 | |||
| 1-JOHN B. STEELE | Ind | 129 | 0.0 | |||
| ON-35 |
This data can not be used to predict outcomes for individual candidates. | 1-BILL VANKOUGHNET | Con | 12,211 | 12,211.0 | ✔ |
| 1-PETER WALKER | Lib | 10,249 | 10,249.0 | |||
| 1-FRED WILSON | NDP | 7,302 | 7,302.0 | |||
| 1-LAURIE GREENIDGE | FCP | 1,404 | 1,404.0 | |||
| 1-ROSS BAKER | Ind | 416 | 416.0 | |||
| 1-WILLIAM OVERALL | NLP | 121 | 121.0 | |||
| ON-36 |
This data can not be used to predict outcomes for individual candidates. | 1-BILL MURDOCH | Con | 25,138 | 25,138.0 | ✔ |
| 1-EVERETT HALL | Lib | 8,262 | 8,262.0 | |||
| 1-GREG COOPER | NDP | 3,413 | 3,413.0 | |||
| 1-DAVID BLACK | FCP | 2,082 | 2,082.0 | |||
| 1-MICHAEL SCHMIDT | Ind | 703 | 703.0 | |||
| 1-IAN ROBERTS | NLP | 170 | 170.0 | |||
| ON-37 |
This data can not be used to predict outcomes for individual candidates. | 1-BRENDA ELLIOTT | Con | 17,204 | 17,204.0 | ✔ |
| 1-RICK FERRARO | Lib | 11,459 | 11,459.0 | |||
| 1-DEREK FLETCHER | NDP | 10,278 | 10,278.0 | |||
| 1-JOHN G. GOTS | FCP | 1,035 | 1,035.0 | |||
| 1-THOMAS BRADBURN | Lbt | 265 | 265.0 | |||
| 1-ANNA DI CARLO | Ind | 187 | 187.0 | |||
| ON-38 |
This data can not be used to predict outcomes for individual candidates. | 1-TERENCE YOUNG | Con | 30,621 | 30,621.0 | ✔ |
| 1-BARBARA SULLIVAN | Lib | 13,977 | 13,977.0 | |||
| 1-RICHARD JOSEPH BANIGAN | NDP | 5,268 | 5,268.0 | |||
| ON-39 |
This data can not be used to predict outcomes for individual candidates. | 1-TED CHUDLEIGH | Con | 19,247 | 19,247.0 | ✔ |
| 1-WALT ELLIOT | Lib | 6,568 | 6,568.0 | |||
| 1-NOEL DUIGNAN | NDP | 4,362 | 4,362.0 | |||
| 1-ALEX MCKEE | FCP | 1,239 | 1,239.0 | |||
| 1-JOHN SHADBOLT | Lbt | 187 | 187.0 | |||
| ON-40 |
This data can not be used to predict outcomes for individual candidates. | 1-DAVID CHRISTOPHERSON | NDP | 8,012 | 8,012.0 | ✔ |
| 1-FILOMENA TASSI | Lib | 7,322 | 7,322.0 | |||
| 1-ANGIE TOMASIC | Con | 5,723 | 5,723.0 | |||
| 1-TOM WIGGLESWORTH | FCP | 376 | 376.0 | |||
| 1-MONIQUE POUDRETTE | NLP | 331 | 331.0 | |||
| ON-41 |
This data can not be used to predict outcomes for individual candidates. | 1-DOMINIC AGOSTINO | Lib | 11,088 | 11,088.0 | ✔ |
| 1-ANDREW MACKENZIE | NDP | 7,042 | 7,042.0 | |||
| 1-DON SHEPPARD | Con | 6,263 | 6,263.0 | |||
| 1-ANGELA CORVARO | FCP | 681 | 681.0 | |||
| 1-BOB MANN | Com | 389 | 389.0 | |||
| ON-42 |
This data can not be used to predict outcomes for individual candidates. | 1-TREVOR PETTIT | Con | 13,852 | 13,852.0 | ✔ |
| 1-MARIE BOUNTROGIANNI | Lib | 12,824 | 12,824.0 | |||
| 1-BRIAN CHARLTON | NDP | 9,837 | 9,837.0 | |||
| 1-MICHAEL O'GRADY | FCP | 1,329 | 1,329.0 | |||
| ON-43 |
This data can not be used to predict outcomes for individual candidates. | 1-LILLIAN ROSS | Con | 13,301 | 13,301.0 | ✔ |
| 1-RICHARD ALLEN | NDP | 9,267 | 9,267.0 | |||
| 1-HELEN WILSON | Lib | 8,911 | 8,911.0 | |||
| 1-LYNNE SCIME | FCP | 880 | 880.0 | |||
| 1-RITA RASSENBERG | NLP | 284 | 284.0 | |||
| 1-HANS WIENHOLD | Lbt | 169 | 169.0 | |||
| ON-44 |
This data can not be used to predict outcomes for individual candidates. | 1-HARRY DANFORD | Con | 16,187 | 16,187.0 | ✔ |
| 1-ELMER A. BUCHANAN | NDP | 8,328 | 8,328.0 | |||
| 1-BARB JINKERSON | Lib | 4,056 | 4,056.0 | |||
| 1-JOHN WESTEN | FCP | 1,002 | 1,002.0 | |||
| 1-DAVID HETHERINGTON | NLP | 308 | 308.0 | |||
| ON-45 |
This data can not be used to predict outcomes for individual candidates. | 1-DERWYN SHEA | Con | 10,559 | 10,559.0 | ✔ |
| 1-ELAINE ZIEMBA | NDP | 8,899 | 8,899.0 | |||
| 1-TED LOJKO | Lib | 7,121 | 7,121.0 | |||
| 1-DAVID G. BURMAN | Grn | 368 | 368.0 | |||
| 1-GREG W. ROBERTS | NLP | 286 | 286.0 | |||
| ON-46 |
This data can not be used to predict outcomes for individual candidates. | 1-HELEN JOHNS | Con | 13,343 | 13,343.0 | ✔ |
| 1-JOHN JEWITT | Lib | 7,009 | 7,009.0 | |||
| 1-PAUL KLOPP | NDP | 6,927 | 6,927.0 | |||
| 1-PHIL CORNISH | FCP | 1,418 | 1,418.0 | |||
| 1-KIMBLE F. AINSLIE | Ind | 207 | 207.0 | |||
| ON-47 |
This data can not be used to predict outcomes for individual candidates. | 1-FRANK MICLASH | Lib | 9,152 | 9,152.0 | ✔ |
| 1-GORD GRIFFITHS | Con | 5,097 | 5,097.0 | |||
| 1-MIKE CLANCY | NDP | 2,788 | 2,788.0 | |||
| ON-48 |
This data can not be used to predict outcomes for individual candidates. | 1-JOHN GERRETSEN | Lib | 10,314 | 10,314.0 | ✔ |
| 1-SALLY BARNES | Con | 8,571 | 8,571.0 | |||
| 1-GARY WILSON | NDP | 8,052 | 8,052.0 | |||
| 1-JOHN PACHECO | FCP | 858 | 858.0 | |||
| 1-RONALD J. DUNPHY | NLP | 155 | 155.0 | |||
| ON-49 |
This data can not be used to predict outcomes for individual candidates. | 1-WAYNE K. WETTLAUFER | Con | 13,374 | 13,374.0 | ✔ |
| 1-BRYAN STORTZ | Lib | 9,992 | 9,992.0 | |||
| 1-SANDI ELLIS | NDP | 6,998 | 6,998.0 | |||
| 1-LOU REITZEL | FCP | 2,111 | 2,111.0 | |||
| 1-BOB OBERHOLTZER | Ind | 612 | 835.0 | |||
| 1-FRANK A.K. KEREK | Ind | 223 | 0.0 | |||
| ON-50 |
This data can not be used to predict outcomes for individual candidates. | 1-GARY LEADSTON | Con | 17,392 | 17,392.0 | ✔ |
| 1-SHELLY SCHLUETER | Lib | 10,106 | 10,106.0 | |||
| 1-MIKE COOPER | NDP | 8,146 | 8,146.0 | |||
| 1-TED KRYN | FCP | 2,415 | 2,415.0 | |||
| ON-51 |
This data can not be used to predict outcomes for individual candidates. | 1-GILLES POULIOT | NDP | 5,079 | 5,079.0 | ✔ |
| 1-IAN MCQUARRIE | Lib | 3,463 | 3,463.0 | |||
| 1-VIC FOURNEL | Con | 3,273 | 3,273.0 | |||
| ON-52 |
This data can not be used to predict outcomes for individual candidates. | 1-MARCEL BEAUBIEN | Con | 12,034 | 12,034.0 | ✔ |
| 1-LARRY O'NEILL | Lib | 7,925 | 7,925.0 | |||
| 1-DONA STEWARDSON | NDP | 5,055 | 5,055.0 | |||
| 1-JIM HOPPER | FCP | 2,184 | 2,184.0 | |||
| 1-WAYNE H. FORBES | Free | 417 | 417.0 | |||
| ON-53 |
This data can not be used to predict outcomes for individual candidates. | 1-W. LEO JORDAN | Con | 19,959 | 19,959.0 | ✔ |
| 1-JUNE TIMMONS | Lib | 9,956 | 9,956.0 | |||
| 1-DON PAGE | NDP | 3,455 | 3,455.0 | |||
| 1-MURRAY REID | COR | 867 | 867.0 | |||
| 1-KILIAN O'DONOVAN | FCP | 745 | 745.0 | |||
| 1-MIKE DUBROY | Ind | 557 | 557.0 | |||
| 1-RICK ALEXANDER | NLP | 237 | 237.0 | |||
| ON-54 |
This data can not be used to predict outcomes for individual candidates. | 1-JOSEPH CORDIANO | Lib | 11,784 | 11,784.0 | ✔ |
| 1-EMILIA VALENTINI | Con | 7,955 | 7,955.0 | |||
| 1-DONATO SANTERAMO | NDP | 5,000 | 5,000.0 | |||
| 1-ROY ANDERSON | NLP | 698 | 698.0 | |||
| 1-ERIC SAUMUR | Grn | 246 | 246.0 | |||
| ON-55 |
This data can not be used to predict outcomes for individual candidates. | 1-BOB RUNCIMAN | Con | 21,763 | 21,763.0 | ✔ |
| 1-PETER MC KENNA | Lib | 8,955 | 8,955.0 | |||
| 1-CHARLES STEWART | NDP | 2,316 | 2,316.0 | |||
| 1-PETER S. BEVAN-BAKER | Grn | 927 | 927.0 | |||
| 1-PHILLIP BLANCHER | Ind | 438 | 438.0 | |||
| ON-56 |
This data can not be used to predict outcomes for individual candidates. | 1-FRANK SHEEHAN | Con | 18,709 | 18,709.0 | ✔ |
| 1-HARRY PELISSERO | Lib | 10,876 | 10,876.0 | |||
| 1-RON HANSEN | NDP | 5,800 | 5,800.0 | |||
| 1-TRISTAN EMMANUEL | FCP | 1,241 | 1,241.0 | |||
| 1-MARY GLASSER | NLP | 288 | 288.0 | |||
| ON-57 |
This data can not be used to predict outcomes for individual candidates. | 1-MARION BOYD | NDP | 11,096 | 11,096.0 | ✔ |
| 1-PATRICK MCGUINNESS | Con | 9,364 | 9,364.0 | |||
| 1-RON POSTIAN | Lib | 7,559 | 7,559.0 | |||
| 1-MIKE DWYER | FCP | 1,041 | 1,041.0 | |||
| 1-JEFF CULBERT | Grn | 533 | 533.0 | |||
| 1-LLOYD WALKER | Free | 452 | 452.0 | |||
| 1-LIZ OVERALL | NLP | 134 | 134.0 | |||
| ON-58 |
This data can not be used to predict outcomes for individual candidates. | 1-DIANNE CUNNINGHAM | Con | 23,195 | 23,195.0 | ✔ |
| 1-LARRY CROSSAN | Lib | 11,112 | 11,112.0 | |||
| 1-CAROLYN DAVIES | NDP | 8,167 | 8,167.0 | |||
| 1-GRAEME BENEDETTI | FCP | 777 | 777.0 | |||
| 1-JOHN BEVERLEY | Grn | 365 | 365.0 | |||
| 1-JACK PLANT | Free | 334 | 334.0 | |||
| 1-RITA VARRIN | NLP | 101 | 101.0 | |||
| ON-59 |
This data can not be used to predict outcomes for individual candidates. | 1-BOB WOOD | Con | 18,161 | 18,161.0 | ✔ |
| 1-DAVID WINNINGER | NDP | 10,729 | 10,729.0 | |||
| 1-JOAN SMITH | Lib | 10,693 | 10,693.0 | |||
| 1-RUDY J. POLCI | FCP | 387 | 387.0 | |||
| 1-MAUREEN BATTAGLIA | Free | 340 | 340.0 | |||
| 1-MARK SIMPSON | Ind | 323 | 323.0 | |||
| 1-SVEN BIGGS | Grn | 202 | 202.0 | |||
| 1-JAMES HEA | NLP | 111 | 111.0 | |||
| ON-60 |
This data can not be used to predict outcomes for individual candidates. | 1-DAVE TSUBOUCHI | Con | 37,314 | 37,314.0 | ✔ |
| 1-KHALID USMAN | Lib | 10,770 | 10,770.0 | |||
| 1-MIKE TANG | NDP | 7,779 | 7,779.0 | |||
| 1-PAT REDMOND | FCP | 1,088 | 1,088.0 | |||
| 1-STEPHEN R. PORTER | NLP | 626 | 626.0 | |||
| ON-61 |
This data can not be used to predict outcomes for individual candidates. | 1-BRUCE SMITH | Con | 15,684 | 15,684.0 | ✔ |
| 1-DOUG REYCRAFT | Lib | 10,448 | 10,448.0 | |||
| 1-IRENE MATHYSSEN | NDP | 8,799 | 8,799.0 | |||
| 1-JAMIE HARRIS | FCP | 3,481 | 3,481.0 | |||
| 1-BARRY MALCOLM | Free | 458 | 458.0 | |||
| ON-62 |
This data can not be used to predict outcomes for individual candidates. | 1-CARL DEFARIA | Con | 16,468 | 16,468.0 | ✔ |
| 1-KONSTANTINE KATSOULIS | Lib | 10,039 | 10,039.0 | |||
| 1-ZENIA WADHWANI | NDP | 5,120 | 5,120.0 | |||
| ON-63 |
This data can not be used to predict outcomes for individual candidates. | 1-JOHN SNOBELEN | Con | 22,095 | 22,095.0 | ✔ |
| 1-STEVE OFFER | Lib | 17,681 | 17,681.0 | |||
| 1-DAN SHEKHAR | NDP | 5,283 | 5,283.0 | |||
| 1-JOHN BODDY | Grn | 1,206 | 1,206.0 | |||
| ON-64 |
This data can not be used to predict outcomes for individual candidates. | 1-MARGARET MARLAND | Con | 23,116 | 23,116.0 | ✔ |
| 1-IEVA MARTIN | Lib | 5,551 | 5,551.0 | |||
| 1-DAVID MESSENGER | NDP | 3,282 | 3,282.0 | |||
| 1-SCOTT KAY | NLP | 334 | 334.0 | |||
| 1-ADRIAN EARL CREWSON | Ind | 309 | 596.0 | |||
| 1-WOLFGANG G. MUELLER | Ind | 287 | 0.0 | |||
| 1-MATTHEW WOOD | Grn | 256 | 256.0 | |||
| ON-65 |
This data can not be used to predict outcomes for individual candidates. | 1-ROB SAMPSON | Con | 26,614 | 26,614.0 | ✔ |
| 1-STEVE MAHONEY | Lib | 23,275 | 23,275.0 | |||
| 1-PAUL DANIEL | NDP | 6,758 | 6,758.0 | |||
| 1-S. GEORGE MEEKINS | COR | 952 | 952.0 | |||
| ON-66 |
This data can not be used to predict outcomes for individual candidates. | 1-BILL GRIMMETT | Con | 17,864 | 17,864.0 | ✔ |
| 1-KEN BLACK | Lib | 8,095 | 8,095.0 | |||
| 1-DAN WATERS | NDP | 7,742 | 7,742.0 | |||
| 1-MICHAEL L. FENTON | Grn | 411 | 411.0 | |||
| 1-BILL OGILVIE | Ind | 381 | 381.0 | |||
| ON-67 |
This data can not be used to predict outcomes for individual candidates. | 1-JOHN BAIRD | Con | 17,510 | 17,510.0 | ✔ |
| 1-HANS DAIGELER | Lib | 13,575 | 13,575.0 | |||
| 1-JOHN SULLIVAN | NDP | 3,274 | 3,274.0 | |||
| 1-FRANK DE JONG | Grn | 390 | 390.0 | |||
| 1-BRIAN E. JACKSON | NLP | 259 | 259.0 | |||
| 1-CATHY FRAMPTON | Free | 252 | 252.0 | |||
| ON-68 |
This data can not be used to predict outcomes for individual candidates. | 1-BART MAVES | Con | 12,132 | 12,132.0 | ✔ |
| 1-MARG GERMANO | Lib | 8,289 | 8,289.0 | |||
| 1-MARGARET HARRINGTON | NDP | 7,034 | 7,034.0 | |||
| 1-BILL AMOS | NLP | 355 | 355.0 | |||
| 1-MELANIA GURAL | Ind | 189 | 189.0 | |||
| ON-69 |
This data can not be used to predict outcomes for individual candidates. | 1-TIM HUDAK | Con | 8,815 | 8,815.0 | ✔ |
| 1-AUBREY FOLEY | Lib | 7,634 | 7,634.0 | |||
| 1-SHIRLEY COPPEN | NDP | 5,376 | 5,376.0 | |||
| 1-MORTON E. SIDER | Ind | 688 | 688.0 | |||
| 1-AL KIERS | FCP | 536 | 536.0 | |||
| ON-70 |
This data can not be used to predict outcomes for individual candidates. | 1-FLOYD LAUGHREN | NDP | 8,007 | 8,007.0 | ✔ |
| 1-BETTY RHEAUME | Lib | 5,549 | 5,549.0 | |||
| 1-FRANK DEBURGER | Con | 3,305 | 3,305.0 | |||
| 1-MICHEL R. CHARTRAND | Ind | 225 | 225.0 | |||
| 1-GRACE TANCOCK | NLP | 119 | 119.0 | |||
| ON-71 |
This data can not be used to predict outcomes for individual candidates. | 1-MIKE HARRIS | Con | 18,722 | 18,722.0 | ✔ |
| 1-BERT BRANDON | Lib | 7,885 | 7,885.0 | |||
| 1-DOUG BENNETT | NDP | 4,350 | 4,350.0 | |||
| ON-72 |
This data can not be used to predict outcomes for individual candidates. | 1-TOBY BARRETT | Con | 17,335 | 17,335.0 | ✔ |
| 1-RUDY STICKL | Lib | 9,413 | 9,413.0 | |||
| 1-NORM JAMISON | NDP | 7,893 | 7,893.0 | |||
| 1-ANDRE DE DECKER | FCP | 972 | 972.0 | |||
| ON-73 |
This data can not be used to predict outcomes for individual candidates. | 1-DOUGLAS GALT | Con | 19,359 | 19,359.0 | ✔ |
| 1-JOAN FAWCETT | Lib | 13,233 | 13,233.0 | |||
| 1-MURRAY WEPPLER | NDP | 4,539 | 4,539.0 | |||
| ON-74 |
This data can not be used to predict outcomes for individual candidates. | 1-GARY CARR | Con | 21,689 | 21,689.0 | ✔ |
| 1-LOU ROCCA | Lib | 8,479 | 8,479.0 | |||
| 1-WILLIE LAMBERT | NDP | 2,973 | 2,973.0 | |||
| 1-MIKE ROONEY | FCP | 1,103 | 1,103.0 | |||
| ON-75 |
This data can not be used to predict outcomes for individual candidates. | 1-MIKE COLLE | Lib | 8,599 | 8,599.0 | ✔ |
| 1-TONY RIZZO | NDP | 7,624 | 7,624.0 | |||
| 1-COURTNEY DOLDRON | Con | 3,298 | 3,298.0 | |||
| 1-JOSEPH FLEXER | Ind | 301 | 301.0 | |||
| 1-CONSTANTINE KRITSONIS | Grn | 269 | 269.0 | |||
| 1-DOUG STOREY | NLP | 135 | 135.0 | |||
| 1-NUNZIO VENUTO | Lbt | 100 | 100.0 | |||
| ON-76 |
This data can not be used to predict outcomes for individual candidates. | 1-ELINOR CAPLAN | Lib | 11,164 | 11,164.0 | ✔ |
| 1-PAUL SUTHERLAND | Con | 10,130 | 10,130.0 | |||
| 1-DAVID COX | NDP | 3,665 | 3,665.0 | |||
| 1-BERNADETTE MICHAEL | Ind | 243 | 243.0 | |||
| 1-DONNA ANDERSON | NLP | 227 | 227.0 | |||
| 1-DON ROEBUCK | Grn | 115 | 115.0 | |||
| ON-77 |
This data can not be used to predict outcomes for individual candidates. | 1-JERRY J. OUELLETTE | Con | 16,793 | 16,793.0 | ✔ |
| 1-ALLAN PILKEY | NDP | 8,450 | 8,450.0 | |||
| 1-LINDA PORRITT | Lib | 5,666 | 5,666.0 | |||
| ON-78 |
This data can not be used to predict outcomes for individual candidates. | 1-RICHARD PATTEN | Lib | 11,150 | 11,150.0 | ✔ |
| 1-EVELYN GIGANTES | NDP | 9,438 | 9,438.0 | |||
| 1-CHRIS THOMPSON | Con | 6,715 | 6,715.0 | |||
| 1-RON PARKER | NLP | 365 | 365.0 | |||
| 1-ANDREW VAN ITERSON | Grn | 349 | 349.0 | |||
| 1-MALEK KHOURI | Com | 210 | 210.0 | |||
| 1-JOHN C. TURMEL | Ind | 173 | 173.0 | |||
| ON-79 |
This data can not be used to predict outcomes for individual candidates. | 1-BERNARD GRANDMAÎTRE | Lib | 14,436 | 14,436.0 | ✔ |
| 1-CYNTHIA BLED | Con | 5,368 | 5,368.0 | |||
| 1-DAVID DYMENT | NDP | 4,818 | 4,818.0 | |||
| 1-LARRY TYLDSLEY | Grn | 335 | 335.0 | |||
| 1-ROBERT MAYER | NLP | 261 | 261.0 | |||
| 1-STEVEN E. WHITE | Ind | 136 | 136.0 | |||
| ON-80 |
This data can not be used to predict outcomes for individual candidates. | 1-GARRY GUZZO | Con | 14,796 | 14,796.0 | ✔ |
| 1-YVONNE O'NEILL | Lib | 13,273 | 13,273.0 | |||
| 1-DAN MC INTYRE | NDP | 4,138 | 4,138.0 | |||
| 1-LENORA BURKE | Grn | 412 | 412.0 | |||
| 1-RICHARD WOLFSON | NLP | 178 | 178.0 | |||
| ON-81 |
This data can not be used to predict outcomes for individual candidates. | 1-DALTON MCGUINTY | Lib | 15,418 | 15,418.0 | ✔ |
| 1-LINDA THOM | Con | 8,618 | 8,618.0 | |||
| 1-MARGARET ARMSTRONG | NDP | 4,235 | 4,235.0 | |||
| 1-KAREN FYSON | Grn | 383 | 383.0 | |||
| 1-WAYNE FOSTER | NLP | 245 | 245.0 | |||
| ON-82 |
This data can not be used to predict outcomes for individual candidates. | 1-BOB CHIARELLI | Lib | 14,516 | 14,516.0 | ✔ |
| 1-GREG JOY | Con | 12,898 | 12,898.0 | |||
| 1-KARIM ISMAILI | NDP | 3,718 | 3,718.0 | |||
| 1-STEPHEN JOHNS | Grn | 448 | 448.0 | |||
| 1-ANDY SAMMON | Ind | 241 | 241.0 | |||
| 1-STAN LAMOTHE | NLP | 96 | 96.0 | |||
| ON-83 |
This data can not be used to predict outcomes for individual candidates. | 1-ERNIE HARDEMAN | Con | 17,568 | 17,568.0 | ✔ |
| 1-KIMBLE SUTHERLAND | NDP | 9,501 | 9,501.0 | |||
| 1-BRUCE SIBBICK | Lib | 6,564 | 6,564.0 | |||
| 1-CASE VAN BLYDERVEEN | FCP | 1,061 | 1,061.0 | |||
| 1-KAYE SARGENT | Lbt | 386 | 386.0 | |||
| 1-JIM MORRIS | NLP | 275 | 275.0 | |||
| 1-JIM MONTAG | Free | 148 | 148.0 | |||
| ON-84 |
This data can not be used to predict outcomes for individual candidates. | 1-TONY RUPRECHT | Lib | 8,435 | 8,435.0 | ✔ |
| 1-MARTIN SILVA | NDP | 5,795 | 5,795.0 | |||
| 1-FRED BLUCHER | Con | 2,887 | 2,887.0 | |||
| 1-MIRIAM HAWKINS | Grn | 363 | 363.0 | |||
| 1-WILFRED SZCZESNY | Com | 142 | 142.0 | |||
| ON-85 |
This data can not be used to predict outcomes for individual candidates. | 1-ERNIE EVES | Con | 15,523 | 15,523.0 | ✔ |
| 1-MARK FISHER | Lib | 4,821 | 4,821.0 | |||
| 1-DAN REED | NDP | 3,367 | 3,367.0 | |||
| ON-86 |
This data can not be used to predict outcomes for individual candidates. | 1-BERT JOHNSON | Con | 13,735 | 13,735.0 | ✔ |
| 1-KAREN HASLAM | NDP | 8,445 | 8,445.0 | |||
| 1-GERRY TEAHEN | Lib | 7,722 | 7,722.0 | |||
| 1-ROBERT SMINK | Free | 427 | 427.0 | |||
| 1-PATRICK VAN GALEN | Ind | 326 | 326.0 | |||
| ON-87 |
This data can not be used to predict outcomes for individual candidates. | 1-GARY STEWART | Con | 22,735 | 22,735.0 | ✔ |
| 1-SYLVIA SUTHERLAND | Lib | 10,326 | 10,326.0 | |||
| 1-JENNY CARTER | NDP | 7,581 | 7,581.0 | |||
| 1-PAUL MORGAN | FCP | 2,064 | 2,064.0 | |||
| 1-VIC WATTS | Lbt | 251 | 251.0 | |||
| 1-PETER LEGGAT | NLP | 213 | 213.0 | |||
| ON-88 |
This data can not be used to predict outcomes for individual candidates. | 1-MICHAEL GRAVELLE | Lib | 14,281 | 14,281.0 | ✔ |
| 1-SHELLEY WARK-MARTYN | NDP | 7,490 | 7,490.0 | |||
| 1-JIM DOHERTY | Con | 6,554 | 6,554.0 | |||
| 1-ANITA HARRIS | FCP | 683 | 683.0 | |||
| 1-PAUL WEBER | Ind | 182 | 182.0 | |||
| ON-89 |
This data can not be used to predict outcomes for individual candidates. | 1-JEAN-MARC LALONDE | Lib | 24,808 | 24,808.0 | ✔ |
| 1-PIERRE LEDUC | Con | 13,637 | 13,637.0 | |||
| 1-YVES A. DESCHAMPS | NDP | 4,472 | 4,472.0 | |||
| 1-JEAN-SERGE BRISSON | Lbt | 626 | 626.0 | |||
| 1-JOHN MACKINNON | Ind | 564 | 564.0 | |||
| 1-PIERRETTE J. BLONDIN | NLP | 446 | 446.0 | |||
| ON-90 |
This data can not be used to predict outcomes for individual candidates. | 1-GARY FOX | Con | 14,144 | 14,144.0 | ✔ |
| 1-ROBERT GENTILE | Lib | 7,798 | 7,798.0 | |||
| 1-PAUL JOHNSON | NDP | 5,996 | 5,996.0 | |||
| 1-KENN HINEMAN | COR | 571 | 571.0 | |||
| ON-91 |
This data can not be used to predict outcomes for individual candidates. | 1-DOUG ROLLINS | Con | 13,961 | 13,961.0 | ✔ |
| 1-GEORGE ZEGOURAS | Lib | 11,826 | 11,826.0 | |||
| 1-BARB DOLAN | NDP | 3,743 | 3,743.0 | |||
| ON-92 |
This data can not be used to predict outcomes for individual candidates. | 1-HOWARD HAMPTON | NDP | 4,912 | 4,912.0 | ✔ |
| 1-LYNN BEYAK | Con | 4,707 | 4,707.0 | |||
| 1-DARREN W.E. BROWN | Lib | 2,683 | 2,683.0 | |||
| ON-93 |
This data can not be used to predict outcomes for individual candidates. | 1-SEAN CONWAY | Lib | 16,044 | 16,044.0 | ✔ |
| 1-DAN CALLAGHAN | Con | 9,681 | 9,681.0 | |||
| 1-ISH THEILHEIMER | NDP | 2,483 | 2,483.0 | |||
| 1-STAN CALLAGHAN | FCP | 1,695 | 1,695.0 | |||
| 1-ANDRÉ GIARDANO | NLP | 187 | 187.0 | |||
| ON-94 |
This data can not be used to predict outcomes for individual candidates. | 1-MARILYN CHURLEY | NDP | 10,948 | 10,948.0 | ✔ |
| 1-JOHN GAMBLE | Con | 6,348 | 6,348.0 | |||
| 1-FRANK LOWERY | Lib | 5,443 | 5,443.0 | |||
| 1-PAT MARQUIS | Ind | 273 | 273.0 | |||
| 1-MARIANNA TZABIRAS | Grn | 217 | 217.0 | |||
| 1-LOUCAS CAFÉ | NLP | 124 | 124.0 | |||
| ON-95 |
This data can not be used to predict outcomes for individual candidates. | 1-ISABEL BASSETT | Con | 13,092 | 13,092.0 | ✔ |
| 1-CAROLYN BENNETT | Lib | 9,413 | 9,413.0 | |||
| 1-DAVID JACOBS | NDP | 9,231 | 9,231.0 | |||
| 1-HAMISH WILSON | Grn | 271 | 271.0 | |||
| 1-BRUCE HISLOP | NLP | 237 | 237.0 | |||
| 1-MARK SCOTT | Lbt | 141 | 141.0 | |||
| ON-96 |
This data can not be used to predict outcomes for individual candidates. | 1-JIM BRADLEY | Lib | 13,761 | 13,761.0 | ✔ |
| 1-ARCHIE HEIDE | Con | 11,486 | 11,486.0 | |||
| 1-JEFF BURCH | NDP | 3,929 | 3,929.0 | |||
| 1-JON SIEMENS | FCP | 245 | 245.0 | |||
| 1-MARCY SHEREMETTA | NLP | 153 | 153.0 | |||
| ON-97 |
This data can not be used to predict outcomes for individual candidates. | 1-TOM P. FROESE | Con | 11,976 | 11,976.0 | ✔ |
| 1-GAIL RICHARDSON | Lib | 7,373 | 7,373.0 | |||
| 1-CHRISTEL HAECK | NDP | 5,521 | 5,521.0 | |||
| 1-BERT C. PYNENBURG | FCP | 598 | 598.0 | |||
| ON-98 |
This data can not be used to predict outcomes for individual candidates. | 1-AL LEACH | Con | 10,662 | 10,662.0 | ✔ |
| 1-TIM MURPHY | Lib | 10,325 | 10,325.0 | |||
| 1-BRENT HAWKES | NDP | 9,672 | 9,672.0 | |||
| 1-LINDA GIBBONS | Ind | 326 | 424.0 | |||
| 1-CHRIS LEA | Grn | 241 | 241.0 | |||
| 1-RON ROBINS | NLP | 151 | 151.0 | |||
| 1-ALEX NOSAL | Ind | 98 | 0.0 | |||
| ON-99 |
This data can not be used to predict outcomes for individual candidates. | 1-DAVID BOUSHY | Con | 9,260 | 9,260.0 | ✔ |
| 1-JOAN LINK | Lib | 8,626 | 8,626.0 | |||
| 1-BOB HUGET | NDP | 7,487 | 7,487.0 | |||
| 1-RON RAES | FCP | 1,642 | 1,642.0 | |||
| 1-ANTHONY BARBATO | Ind | 217 | 376.0 | |||
| 1-ANDREW FALBY | Ind | 159 | 0.0 | |||
| ON-100 |
This data can not be used to predict outcomes for individual candidates. | 1-TONY MARTIN | NDP | 15,392 | 15,392.0 | ✔ |
| 1-CARMEN PROVENZANO | Lib | 11,672 | 11,672.0 | |||
| 1-LOU TURCO | Con | 7,699 | 7,699.0 | |||
| 1-PAUL THOMPSON | Grn | 757 | 757.0 | |||
| ON-101 |
This data can not be used to predict outcomes for individual candidates. | 1-GERRY PHILLIPS | Lib | 13,472 | 13,472.0 | ✔ |
| 1-KEITH MACNAB | Con | 11,337 | 11,337.0 | |||
| 1-CHRISTINE FEI | NDP | 4,112 | 4,112.0 | |||
| 1-DAPHNE QUANCE | NLP | 313 | 313.0 | |||
| ON-102 |
This data can not be used to predict outcomes for individual candidates. | 1-DAN NEWMAN | Con | 12,717 | 12,717.0 | ✔ |
| 1-MARY ELLEN PIMBLETT | Lib | 7,163 | 7,163.0 | |||
| 1-STEVE OWENS | NDP | 6,841 | 6,841.0 | |||
| 1-JOHN BRERETON | Ind | 649 | 649.0 | |||
| 1-ELEANOR HYODO | NLP | 349 | 349.0 | |||
| ON-103 |
This data can not be used to predict outcomes for individual candidates. | 1-STEVE GILCHRIST | Con | 19,166 | 19,166.0 | ✔ |
| 1-BOB FRANKFORD | NDP | 7,212 | 7,212.0 | |||
| 1-BHAGAT TAGGAR | Lib | 7,197 | 7,197.0 | |||
| 1-SAM APELBAUM | Lbt | 319 | 319.0 | |||
| 1-NEVILLE BERRY | Ind | 270 | 270.0 | |||
| 1-JIM HILL | NLP | 234 | 234.0 | |||
| ON-104 |
This data can not be used to predict outcomes for individual candidates. | 1-MARILYN MUSHINSKI | Con | 13,282 | 13,282.0 | ✔ |
| 1-DAVID WARNER | NDP | 7,906 | 7,906.0 | |||
| 1-KRIS PARTHIBAN | Lib | 5,602 | 5,602.0 | |||
| 1-JAMES C. MAC LEOD | COR | 745 | 745.0 | |||
| 1-DANIÈLE BÉLAIR | NLP | 202 | 202.0 | |||
| ON-105 |
This data can not be used to predict outcomes for individual candidates. | 1-ALVIN CURLING | Lib | 15,507 | 15,507.0 | ✔ |
| 1-MIKE THOMAS | Con | 10,508 | 10,508.0 | |||
| 1-TAREK FATAH | NDP | 6,431 | 6,431.0 | |||
| 1-PAUL BLAIR | Free | 601 | 601.0 | |||
| 1-RINA MORRA | FCP | 369 | 369.0 | |||
| 1-FRED FREDEEN | NLP | 239 | 239.0 | |||
| ON-106 |
This data can not be used to predict outcomes for individual candidates. | 1-JIM BROWN | Con | 11,773 | 11,773.0 | ✔ |
| 1-ANNE SWARBRICK | NDP | 9,216 | 9,216.0 | |||
| 1-JOHN MARCHILDON | Lib | 5,326 | 5,326.0 | |||
| 1-CYNTHIA MARCHAND | NLP | 387 | 387.0 | |||
| 1-FRANK MEYERS | Ind | 254 | 254.0 | |||
| 1-GEORGE DANCE | Lbt | 214 | 214.0 | |||
| 1-ERIC STARK | Grn | 129 | 129.0 | |||
| ON-107 |
This data can not be used to predict outcomes for individual candidates. | 1-JOE TASCONA | Con | 29,790 | 29,790.0 | ✔ |
| 1-BRUCE OWEN | Lib | 12,061 | 12,061.0 | |||
| 1-PAUL WESSENGER | NDP | 7,655 | 7,655.0 | |||
| 1-T. SUSANE MACPHEE-MANNING | FCP | 769 | 769.0 | |||
| 1-RICHARD WARMAN | Grn | 580 | 580.0 | |||
| 1-LES BARNETT | Ind | 284 | 284.0 | |||
| ON-108 |
This data can not be used to predict outcomes for individual candidates. | 1-AL MCLEAN | Con | 23,489 | 23,489.0 | ✔ |
| 1-RALPH CIPOLLA | Lib | 9,044 | 9,044.0 | |||
| 1-MARG DUCIE | NDP | 4,849 | 4,849.0 | |||
| 1-ALLAN MACDONALD | Ind | 876 | 876.0 | |||
| 1-SIGGY LAMOTHE | NLP | 266 | 266.0 | |||
| ON-109 |
This data can not be used to predict outcomes for individual candidates. | 1-JIM WILSON | Con | 24,346 | 24,346.0 | ✔ |
| 1-JAMIE SHORTT | Lib | 5,499 | 5,499.0 | |||
| 1-KATHY SIMPSON | NDP | 4,937 | 4,937.0 | |||
| 1-JAMES GAULT | FCP | 894 | 894.0 | |||
| ON-110 |
This data can not be used to predict outcomes for individual candidates. | 1-NOBLE A. VILLENEUVE | Con | 18,884 | 18,884.0 | ✔ |
| 1-DENIS SABOURIN | Lib | 7,594 | 7,594.0 | |||
| 1-MICHAEL COWLEY-OWEN | NDP | 2,285 | 2,285.0 | |||
| 1-ANDREW FEATHERSTONE | NLP | 428 | 428.0 | |||
| ON-111 |
This data can not be used to predict outcomes for individual candidates. | 1-RICK BARTOLUCCI | Lib | 12,349 | 12,349.0 | ✔ |
| 1-SHARON MURDOCK | NDP | 8,698 | 8,698.0 | |||
| 1-RICHARD ZANIBBI | Con | 8,093 | 8,093.0 | |||
| 1-DON SCOTT | Ind | 506 | 629.0 | |||
| 1-DAVID GORDON | NLP | 315 | 315.0 | |||
| 1-LEWIS POULIN | Grn | 290 | 290.0 | |||
| 1-ED POKONZIE | Ind | 123 | 0.0 | |||
| ON-112 |
This data can not be used to predict outcomes for individual candidates. | 1-SHELLEY MARTEL | NDP | 11,236 | 11,236.0 | ✔ |
| 1-PAUL MÉNARD | Lib | 9,594 | 9,594.0 | |||
| 1-DON MARK | Con | 8,680 | 8,680.0 | |||
| 1-GUY G. MARTIN | Ind | 473 | 473.0 | |||
| 1-WILLIAM MORRISON | NLP | 310 | 310.0 | |||
| ON-113 |
This data can not be used to predict outcomes for individual candidates. | 1-DAVID RAMSAY | Lib | 8,643 | 8,643.0 | ✔ |
| 1-IAN MACPHERSON | Con | 6,185 | 6,185.0 | |||
| 1-AMBROSE RAFTIS | NDP | 2,962 | 2,962.0 | |||
| 1-ALPH SCHAFFNER | COR | 685 | 685.0 | |||
| ON-114 |
This data can not be used to predict outcomes for individual candidates. | 1-CHRIS HODGSON | Con | 25,267 | 25,267.0 | ✔ |
| 1-SHARON MCCRAE | Lib | 6,280 | 6,280.0 | |||
| 1-CATHY VAINIO | NDP | 4,210 | 4,210.0 | |||
| 1-BRAD BRADAMORE | Ind | 643 | 643.0 | |||
| 1-JAMES B. MEDD | FCP | 378 | 378.0 | |||
| 1-CHARLES OLITO | COR | 151 | 151.0 | |||
| ON-115 |
This data can not be used to predict outcomes for individual candidates. | 1-ELIZABETH WITMER | Con | 25,757 | 25,757.0 | ✔ |
| 1-BOB BYRON | Lib | 8,729 | 8,729.0 | |||
| 1-HUGH MILLER | NDP | 6,869 | 6,869.0 | |||
| 1-SANDRA KRYN | FCP | 1,714 | 1,714.0 | |||
| 1-BLAINE P. WATSON | NLP | 275 | 275.0 | |||
| ON-116 |
This data can not be used to predict outcomes for individual candidates. | 1-PETER KORMOS | NDP | 12,848 | 12,848.0 | ✔ |
| 1-BOB MUIR | Lib | 8,630 | 8,630.0 | |||
| 1-GREG REID | Con | 8,089 | 8,089.0 | |||
| 1-BARRY FITZGERALD | Free | 285 | 285.0 | |||
| 1-HELENE DARISSE | NLP | 232 | 232.0 | |||
| ON-117 |
This data can not be used to predict outcomes for individual candidates. | 1-TED ARNOTT | Con | 21,753 | 21,753.0 | ✔ |
| 1-DON ROSS | Lib | 5,706 | 5,706.0 | |||
| 1-ELAINE ROGALA | NDP | 4,104 | 4,104.0 | |||
| 1-JOHN J. MEENAN | FCP | 782 | 782.0 | |||
| 1-DIANNE SANDERSON | Lbt | 269 | 269.0 | |||
| ON-118 |
This data can not be used to predict outcomes for individual candidates. | 1-ED DOYLE | Con | 15,888 | 15,888.0 | ✔ |
| 1-SHIRLEY COLLINS | Lib | 12,282 | 12,282.0 | |||
| 1-MARK MORROW | NDP | 6,667 | 6,667.0 | |||
| 1-MARK S. DAVIES | Ind | 863 | 863.0 | |||
| ON-119 |
This data can not be used to predict outcomes for individual candidates. | 1-TONI SKARICA | Con | 21,165 | 21,165.0 | ✔ |
| 1-CHRIS WARD | Lib | 10,393 | 10,393.0 | |||
| 1-DON ABEL | NDP | 6,474 | 6,474.0 | |||
| ON-120 |
This data can not be used to predict outcomes for individual candidates. | 1-CHARLES HARNICK | Con | 18,834 | 18,834.0 | ✔ |
| 1-LES SCHEININGER | Lib | 9,870 | 9,870.0 | |||
| 1-JULIA MCCREA | NDP | 4,825 | 4,825.0 | |||
| 1-FRANK ZEPPIERI | Ind | 715 | 715.0 | |||
| 1-LAURA WEINBERG | Grn | 386 | 386.0 | |||
| 1-MICHAEL BEIFUSS | NLP | 253 | 253.0 | |||
| ON-121 |
This data can not be used to predict outcomes for individual candidates. | 1-MONTE KWINTER | Lib | 12,468 | 12,468.0 | ✔ |
| 1-SAM PASTERNACK | Con | 9,772 | 9,772.0 | |||
| 1-CLAUDIA WHITE | NDP | 4,612 | 4,612.0 | |||
| 1-MIKE DUBINSKY | NLP | 438 | 438.0 | |||
| 1-TOM SALSBERG | Grn | 303 | 303.0 | |||
| 1-DAN LARGY | FCP | 231 | 231.0 | |||
| 1-DAVID YATES | Ind | 109 | 109.0 | |||
| ON-122 |
This data can not be used to predict outcomes for individual candidates. | 1-DAVE COOKE | NDP | 12,347 | 12,347.0 | ✔ |
| 1-GARY MCNAMARA | Lib | 9,412 | 9,412.0 | |||
| 1-BLAINE TYNDALL | Con | 4,440 | 4,440.0 | |||
| 1-MICHEL OZORAK | FCP | 459 | 459.0 | |||
| 1-SHERRY LANIER | NLP | 362 | 362.0 | |||
| ON-123 |
This data can not be used to predict outcomes for individual candidates. | 1-SANDRA PUPATELLO | Lib | 11,940 | 11,940.0 | ✔ |
| 1-ARLENE ROUSSEAU | NDP | 6,414 | 6,414.0 | |||
| 1-JOE DUROCHER | Con | 5,704 | 5,704.0 | |||
| 1-EARL AMYOTTE | FCP | 610 | 610.0 | |||
| 1-CHRISTINE WILSON | Ind | 410 | 410.0 | |||
| 1-RONALD F. BESSETTE | NLP | 263 | 263.0 | |||
| ON-124 |
This data can not be used to predict outcomes for individual candidates. | 1-DWIGHT DUNCAN | Lib | 10,281 | 10,281.0 | ✔ |
| 1-WAYNE LESSARD | NDP | 9,901 | 9,901.0 | |||
| 1-MICHAEL ROHRER | Con | 3,610 | 3,610.0 | |||
| 1-DONNA HALLIDAY | FCP | 957 | 957.0 | |||
| 1-NARULA VIVEK | NLP | 156 | 156.0 | |||
| ON-125 |
This data can not be used to predict outcomes for individual candidates. | 1-AL PALLADINI | Con | 37,897 | 37,897.0 | ✔ |
| 1-MARIO FERRI | Lib | 29,150 | 29,150.0 | |||
| 1-T.S. JOSEPH THEVARKUNNEL | NDP | 6,698 | 6,698.0 | |||
| 1-GIUSEPPE GORI | FCP | 1,891 | 1,891.0 | |||
| 1-ROBERT EDE | Lbt | 1,792 | 1,792.0 | |||
| ON-126 |
This data can not be used to predict outcomes for individual candidates. | 1-JOHN PARKER | Con | 12,789 | 12,789.0 | ✔ |
| 1-GARY MALKOWSKI | NDP | 9,526 | 9,526.0 | |||
| 1-STEVE MASTORAS | Lib | 7,398 | 7,398.0 | |||
| 1-STEVEN KOTSOPOULOS | Ind | 497 | 748.0 | |||
| 1-JOHN RICHARDSON | Ind | 251 | 0.0 | |||
| 1-MARILYN PEPPER | NLP | 243 | 243.0 | |||
| ON-127 |
This data can not be used to predict outcomes for individual candidates. | 1-DAVID TURNBULL | Con | 18,852 | 18,852.0 | ✔ |
| 1-DAVID MACNAUGHTON | Lib | 7,318 | 7,318.0 | |||
| 1-LESLEY DURHAM | NDP | 2,930 | 2,930.0 | |||
| 1-MARK MESCHINO | Lbt | 223 | 223.0 | |||
| 1-DEBBIE WEBERG | NLP | 173 | 173.0 | |||
| 1-MARION WYSE | Grn | 157 | 157.0 | |||
| ON-128 |
This data can not be used to predict outcomes for individual candidates. | 1-FRANK F. KLEES | Con | 25,904 | 25,904.0 | ✔ |
| 1-CHARLES BEER | Lib | 13,973 | 13,973.0 | |||
| 1-SUSAN WAKELING | NDP | 3,611 | 3,611.0 | |||
| 1-STEFAN SLOVAK | FCP | 498 | 498.0 | |||
| 1-CHRISTOPHER BALL | Grn | 425 | 425.0 | |||
| ON-129 |
This data can not be used to predict outcomes for individual candidates. | 1-BOB RAE | NDP | 10,442 | 10,442.0 | ✔ |
| 1-LARRY EDWARDS | Con | 7,726 | 7,726.0 | |||
| 1-HAGOOD HARDY | Lib | 6,025 | 6,025.0 | |||
| 1-DON PENNELL | FCP | 305 | 305.0 | |||
| 1-DAVID JAMES COOPER | Grn | 219 | 219.0 | |||
| 1-BOB HYMAN | NLP | 176 | 176.0 | |||
| 1-K. CLARKE | Ind | 170 | 170.0 | |||
| 1-ROMA KELEMBET | Lbt | 153 | 153.0 | |||
| 1-DARRELL RANKIN | Com | 105 | 105.0 | |||
| ON-130 |
This data can not be used to predict outcomes for individual candidates. | 1-MARIO SERGIO | Lib | 9,245 | 9,245.0 | ✔ |
| 1-GEORGE MAMMOLITI | NDP | 6,447 | 6,447.0 | |||
| 1-DANNY VARAICH | Con | 3,989 | 3,989.0 |