Example Campaign Scoring
Each Polling Division receives a score.
| Category | Weight |
|---|---|
| Previous turnout | 25% |
| Population growth | 20% |
| Swing potential | 20% |
| Candidate familiarity | 15% |
| Volunteer strength | 10% |
| Issue intensity | 10% |
Final Score
90–100 = Priority A
75–89 = Priority B
60–74 = Priority C
Below 60 = Maintenance
Campaign Targets by Ward
Recommended Canvassing Frequency
| Priority | Door Knocks | Phone Calls | Literature Drops |
|---|---|---|---|
| A | 4–5 | 3 | 5 |
| B | 3 | 2 | 3 |
| C | 2 | 1 | 2 |
| D | 1 | 0 | 1 |
I can also prepare a much more advanced campaign package, including:
- Every Polling Division in Brampton (approximately 400–500 PDs) mapped to the correct municipal ward.
- Historical turnout by PD (2018 and 2022) with 2026 projections.
- A swing-PD index identifying where additional canvassing is most likely to influence the result.
- A colour-coded GIS-style Brampton map showing every PD, ranked from Priority A (highest opportunity) to Priority D.
That level of analysis requires the official poll boundaries and turnout data for the relevant election, but once those datasets are available, it can be built into a professional campaign workbook.
P
If you’re preparing a municipal consulting package, I can build a much more detailed GIS-style resource, including:
- Street-by-street campaign walk routes
- Polling Division (PD) boundaries overlaid on streets
- Neighbourhood demographic profiles
- Estimated voter density by subdivision
- Canvassing priority map (A–D)
- Advance poll locations with 5 km catchment areas
- Printable colour maps in A3/PDF for campaign teams
This would be a campaign planning product rather than a prediction of how residents on any particular street are likely to vote.