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commercialcleaning

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Commercial Window Cleaning Cost Structures in Northern Ontario

# Commercial Window Cleaning Cost Structures in Northern Ontario Commercial window cleaning pricing in Northern Ontario follows a different cost curve than the GTA or Ottawa markets. The primary variables that drive pricing for facility managers in the North Bay–Sudbury corridor: ## Access Method — The Biggest Cost Driver The access method required to reach windows is the single largest variable after window count: - **Ground level** (squeegee + extension pole) — 1.0× base rate. Typical for single-storey retail along Algonquin Avenue, strip malls in Sudbury. - **Ladder access** — 1.4× base rate. Two-storey office buildings in the North Bay downtown core. - **Boom lift** — 2.2× base rate. 3–6 storey buildings, Greater Sudbury municipal complexes. Equipment rental adds $400–800/day. - **Rope access** — 3.0× base rate. Requires SPRAT or IRATA certification. Limited technician pool in Northern Ontario. - **Swing stage** — 3.5× base rate. Rigged from roof anchors. Minimum 2-person crew. ## Seasonal Constraints Exterior window cleaning in Northern Ontario is weather-dependent from May through October. Winter conditions — ice, snow load on sills, temperatures below -10°C — make exterior work unsafe. Most facility managers schedule exterior cleans in late spring (post-salt-spray) and early fall (pre-freeze). ## Frequency Discounts Recurring contracts reduce per-visit cost through route optimization: | Schedule | Discount | Common Use | |----------|----------|------------| | One-time | 0% | Post-construction, move-in/out | | Quarterly | 10% | Standard commercial | | Monthly | 20% | Medical, food service, high-traffic retail | | Weekly | 30% | Food processing, cleanrooms | ## The Calculation ``` time_per_window = base_minutes × service_multiplier × access_multiplier labour_cost = (total_minutes / 60) × hourly_rate × frequency_discount materials = labour_cost × 0.08 final_price = (labour + materials) × (1 + margin%) ``` Open-source calculator with implementations in Python, Rust, Java, Ruby, Elixir, and PHP: https://github.com/DaveCookVectorLabs/window-cleaning-2026