Investment Data Table
Analyze 10,711 laundromat opportunities in spreadsheet format
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Showing 50 of 10,711 results
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| Opp Score ↑ | Location | State | ZIP | Rating | Reviews | Traffic | Market Position | Predicted Tier | Claimed | Verified | Area Indicators |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 50 | Los Angeles | CA | 4.5 | 145 | - | Strong | - | ✗ | ✗ |
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| 50 | Lansing | MI | 4.3 | 105 | - | Established | - | ✗ | ✗ |
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| 50 | San Francisco | CA | 4.2 | 85 | - | Established | - | ✗ | ✗ |
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| 50 | Omaha | NE | 4.1 | 65 | - | Established | - | ✗ | ✗ |
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| 50 | Pueblo | CO | 4.0 | 45 | - | Average | - | ✗ | ✗ |
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| 50 | Franklin | TN | 3.8 | 5 | - | Unproven | - | ✗ | ✗ |
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| 50 | Charleston | SC | 4.0 | 45 | - | Average | - | ✗ | ✗ |
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| 50 | Medford | MA | 3.9 | 25 | - | Average | - | ✗ | ✗ |
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| 50 | Birmingham | AL | 4.7 | 185 | - | Strong | - | ✗ | ✗ |
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| 50 | Brockton | MA | 4.1 | 65 | - | Established | - | ✗ | ✗ |
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| 50 | Columbus | GA | 3.8 | 5 | - | Unproven | - | ✗ | ✗ |
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| 50 | Mount Vernon | NY | 3.8 | 5 | - | Unproven | - | ✗ | ✗ |
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| 50 | Baltimore | MD | 4.6 | 165 | - | Strong | - | ✗ | ✗ |
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| 50 | Makakilo | HI | 3.8 | 5 | - | Unproven | - | ✗ | ✗ |
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| 50 | Madison | WI | 3.9 | 25 | - | Average | - | ✗ | ✗ |
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| 50 | Minneapolis | MN | 4.0 | 45 | - | Average | - | ✗ | ✗ |
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| 50 | Aberdeen | SD | 4.0 | 45 | - | Average | - | ✗ | ✗ |
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| 50 | Paterson | NJ | 4.4 | 125 | - | Established | - | ✗ | ✗ |
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| 50 | Saluda | SC | 29138 | 3.8 | 5 | - | Unproven | - | ✗ | ✗ |
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| 50 | Alexandria | VA | 4.5 | 145 | - | Strong | - | ✗ | ✗ |
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| 50 | Pensacola | FL | 32505 | 4.9 | 175 | 35,000 | Strong | High | ✗ | ✓ |
P:3
G:4
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| 50 | Clinton Township | MI | 3.9 | 25 | - | Average | - | ✗ | ✗ |
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| 50 | Cedar Rapids | IA | 3.8 | 5 | - | Unproven | - | ✗ | ✗ |
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| 50 | Council Bluffs | IA | 3.8 | 5 | - | Unproven | - | ✗ | ✗ |
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| 50 | Pittsburgh | PA | 3.8 | 5 | - | Unproven | - | ✗ | ✗ |
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| 50 | Brooklyn | NY | 11221 | 3.6 | 0 | 6,563 | Unproven | - | ✗ | ✓ |
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| 50 | Royal Oak | MI | 4.0 | 46 | - | Average | - | ✗ | ✗ |
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| 50 | Kokomo | IN | 3.8 | 6 | - | Unproven | - | ✗ | ✗ |
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| 50 | Lawrence | MA | 3.9 | 26 | - | Average | - | ✗ | ✗ |
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| 50 | Salina | KS | 67401.0 | 3.8 | 106 | - | Average | - | ✗ | ✓ |
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| 50 | Johnson City | TN | 3.9 | 26 | - | Average | - | ✗ | ✗ |
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| 50 | Waterbury | CT | 4.1 | 66 | - | Established | - | ✗ | ✗ |
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| 50 | Danbury | CT | 3.9 | 26 | - | Average | - | ✗ | ✗ |
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| 50 | Rochester | NY | 4.4 | 126 | - | Established | - | ✗ | ✗ |
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| 50 | Albany | NY | 3.8 | 6 | - | Unproven | - | ✗ | ✗ |
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| 50 | Baltimore | MD | 4.5 | 146 | - | Strong | - | ✗ | ✗ |
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| 50 | Baltimore | MD | 4.5 | 146 | - | Strong | - | ✗ | ✗ |
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| 50 | Seattle | WA | 3.8 | 6 | - | Unproven | - | ✗ | ✗ |
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| 50 | Annapolis | MD | 4.1 | 66 | - | Established | - | ✗ | ✗ |
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| 50 | Salisbury | MD | 3.9 | 26 | - | Average | - | ✗ | ✗ |
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| 50 | Scarborough | ME | 4.4 | 126 | - | Established | - | ✗ | ✗ |
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| 50 | Derry | NH | 4.2 | 86 | - | Established | - | ✗ | ✗ |
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| 50 | Minneapolis | MN | 4.0 | 46 | - | Average | - | ✗ | ✗ |
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| 50 | Elkins | WV | 3.8 | 6 | - | Unproven | - | ✗ | ✗ |
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| 50 | Hoover | AL | 3.8 | 6 | - | Unproven | - | ✗ | ✗ |
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| 50 | St. Louis | MO | 4.1 | 66 | - | Established | - | ✗ | ✗ |
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| 50 | Toms River | NJ | 4.2 | 86 | - | Established | - | ✗ | ✗ |
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| 50 | Rochester | NH | 4.1 | 66 | - | Established | - | ✗ | ✗ |
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| 50 | Londonderry | NH | 4.2 | 86 | - | Established | - | ✗ | ✗ |
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| 50 | Bowie | MD | 4.1 | 66 | - | Established | - | ✗ | ✗ |
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Understanding the Data
Opportunity Score
Higher scores indicate better acquisition potential based on ratings, claim status, traffic, and market positioning.
Market Position
Calculated from review count and rating. "Struggling" businesses have many reviews but low ratings.
Area Indicators
P=Pawnbrokers, C=Check Cashing, D=Dollar Stores, G=Gas Stations. Higher counts indicate working-class demographics.
Traffic (AADT)
Annual Average Daily Traffic on nearby roads. Higher traffic = better visibility and walk-in potential.