Cost of Roofing in Browns Mills, NJ
When considering roofing services in Browns Mills, NJ, it’s important to understand that costs can vary depending on the scope of the project, the materials chosen, and the labor required. Homeowners should request detailed estimates to compare options and better understand potential expenses.
While this guide provides general insights into roofing costs, final pricing will depend on specific factors such as roof size, material quality, and contractor rates. Consulting with local roofing professionals can help you obtain accurate quotes tailored to your individual needs.



Roofing Price Range in Browns Mills, NJ
Low-End Range: $5,000 – $10,000
High-End Range: $15,000 – $30,000
Project Type | Typical Range |
---|---|
Basic Asphalt Shingle | $5,000 – $8,000 |
Architectural Shingle | $8,000 – $12,000 |
Metal Roofing | $12,000 – $20,000 |
Tile Roofing | $15,000 – $30,000 |
Flat Roof (Built-up or EPDM) | $7,000 – $15,000 |



What Affects the Cost
Understanding the key factors that influence roofing costs can help you plan and budget effectively for your project in Browns Mills, NJ.
- Materials: The choice of roofing materials impacts overall expenses, from asphalt shingles to premium options.
- Size and Scope: Larger roofs or complex designs increase labor and material requirements.
- Labor Complexity: Accessibility, roof pitch, and existing structures can affect installation difficulty and costs.
- Permitting: Local regulations and required permits may add to the project's timeline and expenses.
- Extras: Additional features like skylights, ventilation, or repairs can influence the total cost.
Scope/Size | Typical Range |
---|---|
Small Roof (up to 1,000 sq ft) | $5,000 – $10,000 |
Medium Roof (1,000–2,500 sq ft) | $10,000 – $20,000 |
Large Roof (2,500–5,000 sq ft) | $20,000 – $35,000 |
Very Large Roof (over 5,000 sq ft) | $35,000 – $70,000+ |
This table provides a general overview of typical roofing costs based on size or scope.
Feel free to customize the scope ranges and prices to better match your specific data or regional estimates!