Landscaping Service Area Data
AreaOps scores 33,786 ZIP codes for Landscaping demand using US Census ACS 5-Year data. The national average score is 73/100, so anything well above it signals a metro worth a closer look. Use this to build a target list before your next LSA, direct-mail, or expansion decision — not to explain one after the budget's already spent.
Top Metros for Landscaping
| Metro↕ | Avg Score↓ | ZIPs↕ | Population↕ | |
|---|---|---|---|---|
| Atlanta, GA | 73/Medium | 20 | 628,313 | Best ZIPs → |
| Seattle, WA | 71/Medium | 20 | 666,312 | Best ZIPs → |
| Chicago, IL | 69/Medium | 20 | 867,752 | Best ZIPs → |
| Dallas, TX | 65/Medium | 20 | 586,181 | Best ZIPs → |
| Charlotte, NC | 64/Medium | 2 | 22,801 | Best ZIPs → |
| Los Angeles, CA | 48/Low | 20 | 837,702 | Best ZIPs → |
| Raleigh, NC | 48/Low | 1 | 10,801 | Best ZIPs → |
Click any column header to sort · US Census ACS 5-Year
Frequently Asked Questions
How is the Landscaping targeting score computed?▾
Each ZIP starts at a baseline of 50 and is nudged up or down based on Census ACS signals weighted for the Landscaping vertical — primarily owner occupancy, single-family share, home age, and median household income. Scores range 0–100.
How current is the data?▾
Scores are computed from US Census ACS 5-Year data. We refresh scores monthly as new Census vintages become available.
How do I use this data to build a Landscaping service area?▾
Filter the top-scoring ZIP codes for your target metro, then import them into AreaOps to create a named territory. You can combine score thresholds with revenue data from your CRM to prioritize expansion zones.
Are higher-scoring ZIPs always the right choice?▾
High scores indicate strong demographic fit, not guaranteed revenue. Competition, distance from your hub, and your team's current capacity also matter. Use the score as one signal among several — not a sole qualifier.
Manage Your Service Areas — for Landscaping businesses
AreaOps gives your ops team a visual territory map, bulk ZIP import, and the full scoring model — all filterable by the demographics that drive demand for your specific vertical.