Summary of Rural-Urban PR (More Singles, 389 Seats) (2015 Data)
The Rural-Urban Proportional (RUP) model uses multi-member ridings in metropolitan areas and single member ridings in non-metropolitan and rural areas. It adds a small layer of top-up MPs. Together, these two techniques yield excellent proportionality across a wide range of electoral results.
This version of RUP enlarges the House of Commons by about 15% (about 50 additional MPs) so that ridings remain at their current size. Another simulation of this model enlarges the ridings to keep the number of MPs constant at 338.
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Summary Statistics
Statistics concerning all of the MPs elected -- both in local ridings and as top-ups. The "Proportional MPs" column takes into account provincial and territorial boundaries, as required by Canada's constitution.
Party | Popular Votes1 | Pct Votes2 | Elected MPs3 | Pct Elected MPs4 | Proportional MPs5 | Over Representation6 |
---|---|---|---|---|---|---|
Lib | 6,942,937 | 39.5% | 159 | 40.9% | 155.4 | 1.4% |
Con | 5,613,633 | 31.9% | 130 | 33.4% | 123.5 | 1.5% |
NDP | 3,469,368 | 19.7% | 76 | 19.5% | 76.5 | -0.2% |
Bloc | 821,144 | 4.7% | 17 | 4.4% | 17.2 | -0.3% |
Grn | 602,933 | 3.4% | 7 | 1.8% | 13.2 | -1.6% |
Oth | 141,453 | 0.8% | 0 | 0.0% | 3.1 | -0.8% |
MPs: 389Gallagher Index: 1.89Composite Gallagher Index: 3.43
1The number of votes each party received in the 2015 election.
2The percentage of the votes each party received.
3The number of candidates elected for each party.
4The percentage of MPs that this party was awarded. Ideally, this will match the percentage of the vote.
5The number of MPs this party would have if the results were perfectly proportional.
6The over (or under) representation of this party in Parliment. That is, the difference between the percentage of MPs and the percentage of the vote.
Vote Swing Analysis
What happens if public sentiment swings towards one party and away from another? This graph tries to answer that question. Using the riding-by-riding results from 2015, it systematically moves an increasing number of votes from one party to another.
If the lines representing the Conservative's votes tracks the line for the Conservative's MPs (and similar for the other parties), then the electoral system is proportional across a wide range of electoral scenarios.
On the other hand, if the lines for the votes earned and the MPs elected are farther apart -- as is the case for FPTP and AV -- then the electoral system is not proportional.
Examples:
- At -20% on the bottom axis, 20% of the Liberal's vote in 2015 is given to the Conservatives to simulate an election where the Liberals earned 31% of the vote and the Conservatives earned almost 40%. The lighter red and blue lines show how many MPs would have been elected for each party by this voting system.
- At +6% on the bottom axis, 6% of the Conservative's vote in 2015 is given to the Liberals to simulate an even more lop-sided win (41.4% to 30%). Again, the light red and blue lines show how many MPs would have been elected for each party by this voting system.
The black line, hopefully along the bottom of the graph, shows the Gallagher Index, an index of voting proportionality. Smaller numbers are better.
Voters shift between Conservative and Liberal
Average Gallagher Index: 3.6%
Voters shift between NDP and Liberal
Average Gallagher Index: 3.8%
Voters shift between Green and Liberal
Average Gallagher Index: 3.6%
Statistics for various subsets of ridings
Local-Ridings Only
Statistics concerning only the MPs elected in ridings, without the top-up MPs. This is useful for understanding how much the top-up MPs help create proportionality.
Party | Popular Votes1 | Pct Votes2 | Elected MPs3 | Pct Elected MPs4 | Proportional MPs5 | Over Representation6 |
---|---|---|---|---|---|---|
Lib | 6,942,937 | 39.5% | 138 | 40.8% | 133.4 | 1.4% |
Con | 5,613,633 | 31.9% | 122 | 36.1% | 107.9 | 4.2% |
NDP | 3,469,368 | 19.7% | 65 | 19.2% | 66.7 | -0.5% |
Bloc | 821,144 | 4.7% | 12 | 3.6% | 15.8 | -1.1% |
Grn | 602,933 | 3.4% | 1 | 0.3% | 11.6 | -3.1% |
MPs: 338Gallagher Index: 3.92
1The number of votes each party received in the 2015 election.
2The percentage of the votes each party received.
3The number of candidates elected for each party.
4The percentage of MPs that this party was awarded. Ideally, this will match the percentage of the vote.
5The number of MPs this party would have if the results were perfectly proportional.
6The over (or under) representation of this party in Parliment. That is, the difference between the percentage of MPs and the percentage of the vote.
Single-Member Riding Stats
Statistics on all of the single-member ridings as a group. In a FPTP simulation, this will be the same as the above. In an MMP simulation it will be similar to a FPTP because the top-up MPs are not included. A Hybrid model is where it's the most interesting. How out of whack are the single-member ridings?
Party | Popular Votes | Pct Votes | Elected MPs | Pct Elected MPs | Proportional MPs | Over Representation |
---|---|---|---|---|---|---|
Con | 1,628,085 | 36.3% | 42 | 45.7% | 33.4 | 9.4% |
Lib | 1,592,240 | 35.5% | 35 | 38.0% | 32.6 | 2.6% |
NDP | 864,746 | 19.3% | 13 | 14.1% | 17.7 | -5.1% |
Bloc | 222,221 | 4.9% | 2 | 2.2% | 4.6 | -2.8% |
Grn | 137,805 | 3.1% | 0 | 0.0% | 2.8 | -3.1% |
MPs: 92Gallagher Index: 8.33
Multi-Member Riding Stats
Statistics on all of the multi-member ridings as a group.
Party | Popular Votes | Pct Votes | Elected MPs | Pct Elected MPs | Proportional MPs | Over Representation |
---|---|---|---|---|---|---|
Lib | 5,350,697 | 40.8% | 103 | 41.9% | 100.5 | 1.0% |
Con | 3,985,548 | 30.4% | 80 | 32.5% | 74.8 | 2.1% |
NDP | 2,604,622 | 19.9% | 52 | 21.1% | 48.9 | 1.3% |
Bloc | 598,923 | 4.6% | 10 | 4.1% | 11.2 | -0.5% |
Grn | 465,128 | 3.6% | 1 | 0.4% | 8.7 | -3.1% |
MPs: 246Gallagher Index: 2.94
BC
Statistics on British Columbia.
Ridings Only | Ridings + Top-up | |||||||
---|---|---|---|---|---|---|---|---|
Party | Popular Votes | Pct Votes | Elected MPs | Pct Elected MPs | Over Rep | Elected MPs | Pct Elected MPs | Over Rep |
Lib | 829,816 | 35.1% | 12 | 28.6% | -6.5% | 16 | 33.3% | -1.8% |
Con | 708,010 | 29.9% | 15 | 35.7% | 5.8% | 15 | 31.3% | 1.3% |
NDP | 615,156 | 26.0% | 14 | 33.3% | 7.3% | 14 | 29.2% | 3.2% |
Grn | 194,847 | 8.2% | 1 | 2.4% | -5.9% | 3 | 6.3% | -2.0% |
Total Number of MPs: | 42 | 48 | ||||||
Gallagher Index: | 9.05 | 3.07 |
Prairie Provinces
Statistics on all of the "prairie" provinces: AB, MB, SK.
Ridings Only | Ridings + Top-up | |||||||
---|---|---|---|---|---|---|---|---|
Party | Popular Votes | Pct Votes | Elected MPs | Pct Elected MPs | Over Rep | Elected MPs | Pct Elected MPs | Over Rep |
Con | 1,642,565 | 53.3% | 42 | 67.7% | 14.5% | 42 | 58.3% | 5.1% |
Lib | 873,377 | 28.3% | 13 | 21.0% | -7.4% | 19 | 26.4% | -1.9% |
NDP | 445,334 | 14.4% | 7 | 11.3% | -3.2% | 11 | 15.3% | 0.8% |
Grn | 79,213 | 2.6% | 0 | 0.0% | -2.6% | 0 | 0.0% | -2.6% |
Total Number of MPs: | 62 | 72 | ||||||
Gallagher Index: | 11.84 | 4.32 |
Eastern Provinces
Statistics on all of the "eastern" provinces: ON, QC, NB, NL, NS.
Ridings Only | Ridings + Top-up | |||||||
---|---|---|---|---|---|---|---|---|
Party | Popular Votes | Pct Votes | Elected MPs | Pct Elected MPs | Over Rep | Elected MPs | Pct Elected MPs | Over Rep |
Lib | 5,163,064 | 43.0% | 108 | 47.6% | 4.6% | 118 | 45.2% | 2.2% |
Con | 3,234,793 | 26.9% | 64 | 28.2% | 1.2% | 72 | 27.6% | 0.6% |
NDP | 2,381,975 | 19.8% | 43 | 18.9% | -0.9% | 50 | 19.2% | -0.7% |
Bloc | 821,144 | 6.8% | 12 | 5.3% | -1.6% | 17 | 6.5% | -0.3% |
Grn | 322,340 | 2.7% | 0 | 0.0% | -2.7% | 4 | 1.5% | -1.2% |
Total Number of MPs: | 227 | 261 | ||||||
Gallagher Index: | 4.06 | 1.91 |
Maritime Provinces
Statistics on all of the "Maritime" provinces: NB, NL, NS, PE.
Ridings Only | Ridings + Top-up | |||||||
---|---|---|---|---|---|---|---|---|
Party | Popular Votes | Pct Votes | Elected MPs | Pct Elected MPs | Over Rep | Elected MPs | Pct Elected MPs | Over Rep |
Lib | 769,000 | 58.7% | 24 | 75.0% | 16.3% | 25 | 67.6% | 8.8% |
Con | 249,136 | 19.0% | 4 | 12.5% | -6.5% | 6 | 16.2% | -2.8% |
NDP | 234,699 | 17.9% | 4 | 12.5% | -5.4% | 6 | 16.2% | -1.7% |
Grn | 46,234 | 3.5% | 0 | 0.0% | -3.5% | 0 | 0.0% | -3.5% |
Total Number of MPs: | 32 | 37 | ||||||
Gallagher Index: | 13.22 | 7.14 |
Ontario
Statistics on Ontario.
Ridings Only | Ridings + Top-up | |||||||
---|---|---|---|---|---|---|---|---|
Party | Popular Votes | Pct Votes | Elected MPs | Pct Elected MPs | Over Rep | Elected MPs | Pct Elected MPs | Over Rep |
Lib | 2,929,393 | 44.8% | 54 | 44.6% | -0.2% | 63 | 45.0% | 0.2% |
Con | 2,293,393 | 35.1% | 47 | 38.8% | 3.8% | 51 | 36.4% | 1.4% |
NDP | 1,085,916 | 16.6% | 20 | 16.5% | -0.1% | 24 | 17.1% | 0.5% |
Grn | 185,992 | 2.8% | 0 | 0.0% | -2.8% | 2 | 1.4% | -1.4% |
Total Number of MPs: | 121 | 140 | ||||||
Gallagher Index: | 3.36 | 1.47 |
Quebec
Statistics on Quebec.
Ridings Only | Ridings + Top-up | |||||||
---|---|---|---|---|---|---|---|---|
Party | Popular Votes | Pct Votes | Elected MPs | Pct Elected MPs | Over Rep | Elected MPs | Pct Elected MPs | Over Rep |
Lib | 1,515,673 | 35.7% | 32 | 41.0% | 5.3% | 33 | 37.1% | 1.3% |
NDP | 1,075,366 | 25.4% | 20 | 25.6% | 0.3% | 21 | 23.6% | -1.8% |
Bloc | 821,144 | 19.4% | 12 | 15.4% | -4.0% | 17 | 19.1% | -0.3% |
Con | 709,164 | 16.7% | 14 | 17.9% | 1.2% | 16 | 18.0% | 1.3% |
Grn | 95,395 | 2.2% | 0 | 0.0% | -2.2% | 2 | 2.2% | -0.0% |
Total Number of MPs: | 78 | 89 | ||||||
Gallagher Index: | 5.03 | 1.83 |
Alberta
Statistics on Alberta.
Ridings Only | Ridings + Top-up | |||||||
---|---|---|---|---|---|---|---|---|
Party | Popular Votes | Pct Votes | Elected MPs | Pct Elected MPs | Over Rep | Elected MPs | Pct Elected MPs | Over Rep |
Con | 1,150,101 | 59.6% | 25 | 73.5% | 14.0% | 25 | 62.5% | 2.9% |
Lib | 473,416 | 24.5% | 7 | 20.6% | -3.9% | 10 | 25.0% | 0.5% |
NDP | 224,800 | 11.6% | 2 | 5.9% | -5.8% | 5 | 12.5% | 0.9% |
Grn | 48,742 | 2.5% | 0 | 0.0% | -2.5% | 0 | 0.0% | -2.5% |
Total Number of MPs: | 34 | 40 | ||||||
Gallagher Index: | 11.20 | 2.91 |
Population vs. Riding Area
One concern in developing an electoral system for Canada is the diversity in riding geographical sizes. They currently range from as small as 6km2to almost 2.1 million km2. This graph gives the means to compare how different electoral systems deal with riding sizes. It answers the question "What percentage of Canada's population lives in ridings smaller than xkm2?".
This graph shows that with this model 50% of our population would live in ridings smaller than 2,574 km2 and 90% of our population live in ridings smaller than 36,188 km2.
District Magnitudes
The district magnitude is the number of MPs that represent as specific area. With FPTP, all ridings are represented by a single MP, so the district magnitude is 1 for every riding. In other systems, the number of MPs may vary. These tables show the number of districts (riding or region) that have a given number of MPs representing it for this electoral model.
Riding-Level District Magnitudes
When we considers the local riding, how many MPs are there? How many ridings have that same number?
# of MPs | # of Districts |
---|---|
1 | 92 |
2 | 8 |
3 | 8 |
4 | 13 |
5 | 14 |
6 | 8 |
7 | 4 |
8 | 1 |
Average: | 2.3 |
Region-Level District Magnitudes
When we considers only the top-up MPs in a region, how many MPs are there? How many regions have that same number?
# of MPs | # of Districts |
---|---|
0 | 3 |
1 | 4 |
2 | 4 |
3 | 6 |
4 | 3 |
9 | 1 |
Average: | 2.4 |
Combined District Magnitude
When we consider the total number of MPs in a region (all of the local riding plus the top-up MPs), how many MPs are there? How many ridings have that same number?
In electoral models that don't have the concept of a region with top-up MPs (like STV, FPTP, and AV), the "region" is the province. Territories are always excluded from this table.
# of MPs | # of Districts |
---|---|
1 | 3 |
5 | 1 |
8 | 1 |
10 | 1 |
11 | 1 |
13 | 1 |
16 | 2 |
18 | 1 |
20 | 2 |
22 | 4 |
30 | 1 |
31 | 1 |
36 | 1 |
64 | 1 |
Average: | 18.5 |
Methodology
Single-Member Ridings: FPTP
After collapsing all candidates running for the same party into one virtual candiate, choose the virtual candidate with the most votes.
Multi-Member Ridings: List
Calculate the number of votes for each party and from that the determine the number of seats won by each party using a highest averages method -- specifically as described in "Quota system". After calculating the number of seats for each party, make a list of all the candidates for the party, ordered by number of votes in the 2015 election, and choose the first n candidates as the winners.
Top-up Seats
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