Investment Data Table
Analyze 10,711 laundromat opportunities in spreadsheet format
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| Opp Score ↓ | Location | State | ZIP | Rating | Reviews | Traffic | Market Position | Predicted Tier | Claimed | Verified | Area Indicators |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 60 | Columbia | MD | 4.2 | 194 | - | Established | - | ✗ | ✗ |
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| 60 | Dayton | OH | 3.9 | 134 | - | Average | - | ✗ | ✗ |
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| 60 | Youngstown | OH | 3.3 | 14 | - | Weak | - | ✗ | ✗ |
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| 60 | Reno | NV | 3.6 | 74 | - | Average | - | ✗ | ✗ |
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| 60 | Portland | OR | 3.9 | 134 | - | Average | - | ✗ | ✗ |
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| 60 | Hoover | AL | 3.5 | 54 | - | Average | - | ✗ | ✗ |
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| 60 | St. Louis | MO | 3.9 | 134 | - | Average | - | ✗ | ✗ |
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| 60 | Gallup | NM | 4.0 | 154 | - | Established | - | ✗ | ✗ |
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| 60 | Jefferson City | MO | 4.1 | 174 | - | Established | - | ✗ | ✗ |
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| 60 | Lake Oswego | OR | 3.9 | 134 | - | Average | - | ✗ | ✗ |
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| 60 | South Bend | IN | 3.7 | 94 | - | Average | - | ✗ | ✗ |
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| 60 | Winder | GA | 30680 | 4.2 | 194 | - | Established | - | ✗ | ✗ |
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| 60 | St. Louis | MO | 63113.0 | 3.9 | 134 | - | Average | - | ✗ | ✗ |
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| 60 | Keenesburg | CO | 80643 | 3.3 | 14 | - | Weak | - | ✗ | ✗ |
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| 60 | Bethlehem | PA | 3.9 | 133 | - | Average | - | ✗ | ✗ |
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| 60 | Carmel | IN | 3.9 | 133 | - | Average | - | ✗ | ✗ |
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| 60 | Chattanooga | TN | 3.4 | 33 | - | Struggling | - | ✗ | ✗ |
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| 60 | Dover | DE | 3.5 | 53 | - | Average | - | ✗ | ✗ |
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| 60 | Oklahoma City | OK | 3.3 | 13 | - | Weak | - | ✗ | ✗ |
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| 60 | Lynn | MA | 3.5 | 53 | - | Average | - | ✗ | ✗ |
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| 60 | Lynn | MA | 3.9 | 133 | - | Average | - | ✗ | ✗ |
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| 60 | South Fulton | GA | 3.5 | 53 | - | Average | - | ✗ | ✗ |
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| 60 | Sanford | ME | 3.8 | 113 | - | Average | - | ✗ | ✗ |
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| 60 | Minneapolis | MN | 3.3 | 13 | - | Weak | - | ✗ | ✗ |
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| 60 | Duluth | MN | 3.3 | 13 | - | Weak | - | ✗ | ✗ |
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| 60 | Youngstown | OH | 3.5 | 53 | - | Average | - | ✗ | ✗ |
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| 60 | Springfield | OH | 3.8 | 113 | - | Average | - | ✗ | ✗ |
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| 60 | Indianapolis | IN | 3.9 | 133 | - | Average | - | ✗ | ✗ |
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| 60 | Portland | OR | 4.0 | 153 | - | Established | - | ✗ | ✗ |
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| 60 | Medford | OR | 3.9 | 133 | - | Average | - | ✗ | ✗ |
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| 60 | Medford | OR | 3.7 | 93 | - | Average | - | ✗ | ✗ |
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| 60 | Durham | NC | 3.3 | 13 | - | Weak | - | ✗ | ✗ |
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| 60 | Raytown | MO | 64133.0 | 4.1 | 173 | - | Established | - | ✗ | ✗ |
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| 60 | Paterson | NJ | 3.3 | 13 | - | Weak | - | ✗ | ✗ |
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| 60 | Carthage | TX | 75633 | 4.0 | 153 | - | Established | - | ✗ | ✗ |
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| 60 | Suffolk | VA | 4.0 | 153 | - | Established | - | ✗ | ✗ |
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| 60 | Meridian | MS | 39307.0 | 3.9 | 133 | - | Average | - | ✗ | ✗ |
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| 60 | Lynn | MA | 01902 | 4.1 | 161 | 1,154 | Established | - | ✗ | ✗ |
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| 60 | Milbridge | ME | 04658 | 3.7 | 51 | 4,126 | Average | - | ✗ | ✗ |
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| 60 | Newport | RI | 02840 | 3.7 | 89 | 10,301 | Average | - | ✗ | ✓ |
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| 60 | Palatine | IL | 3.3 | 12 | - | Weak | - | ✗ | ✗ |
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| 60 | Greenville | SC | 3.3 | 12 | - | Weak | - | ✗ | ✗ |
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| 60 | Elmhurst | IL | 3.9 | 132 | - | Average | - | ✗ | ✗ |
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| 60 | Omaha | NE | 3.8 | 112 | - | Average | - | ✗ | ✗ |
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| 60 | Hutchinson | KS | 3.7 | 92 | - | Average | - | ✗ | ✗ |
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| 60 | Bridgeport | CT | 3.5 | 52 | - | Average | - | ✗ | ✗ |
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| 60 | Bossier City | LA | 4.2 | 192 | - | Established | - | ✗ | ✗ |
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| 60 | Central | MA | 3.4 | 32 | - | Struggling | - | ✗ | ✗ |
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| 60 | Springfield | MA | 3.7 | 92 | - | Average | - | ✗ | ✗ |
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| 60 | Springfield | MA | 3.3 | 12 | - | Weak | - | ✗ | ✗ |
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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.