Investment Data Table
Analyze 9,847 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 69 | Carson City | NV | 3.0 | 43 | - | Struggling | - | ✗ | ✗ |
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| 69 | Cicero | IL | 3.7 | 184 | - | Average | - | ✗ | ✗ |
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| 69 | Kokomo | IN | 2.8 | 4 | - | Weak | - | ✗ | ✗ |
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| 69 | Olathe | KS | 3.6 | 164 | - | Average | - | ✗ | ✗ |
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| 69 | Murfreesboro | TN | 2.8 | 4 | - | Weak | - | ✗ | ✗ |
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| 69 | Covington | KY | 3.7 | 184 | - | Average | - | ✗ | ✗ |
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| 69 | Grand Forks | ND | 2.8 | 4 | - | Weak | - | ✗ | ✗ |
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| 69 | Vancouver | WA | 3.1 | 64 | - | Struggling | - | ✗ | ✗ |
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| 69 | Dayton | OH | 3.0 | 44 | - | Struggling | - | ✗ | ✗ |
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| 69 | Woodbridge | NJ | 2.8 | 4 | - | Weak | - | ✗ | ✗ |
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| 69 | Idaho Falls | ID | 3.0 | 44 | - | Struggling | - | ✗ | ✗ |
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| 70 | Reading | PA | 2.8 | 5 | - | Weak | - | ✗ | ✗ |
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| 70 | Long Beach | CA | 3.6 | 165 | - | Average | - | ✗ | ✗ |
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| 70 | Olathe | KS | 3.1 | 65 | - | Struggling | - | ✗ | ✗ |
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| 70 | Lexington | KY | 2.8 | 5 | - | Weak | - | ✗ | ✗ |
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| 70 | Waterbury | CT | 3.7 | 185 | - | Average | - | ✗ | ✗ |
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| 70 | Central | MA | 3.0 | 45 | - | Struggling | - | ✗ | ✗ |
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| 70 | Mount Vernon | NY | 2.8 | 5 | - | Weak | - | ✗ | ✗ |
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| 70 | Cincinnati | OH | 2.8 | 5 | - | Weak | - | ✗ | ✗ |
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| 70 | Raleigh | NC | 3.0 | 45 | - | Struggling | - | ✗ | ✗ |
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| 70 | Limon | CO | 80828 | 3.1 | 65 | - | Struggling | - | ✗ | ✗ |
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| 70 | Brooklyn | NY | 11234 | 3.2 | 0 | 8,501 | Weak | - | ✗ | ✗ |
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| 70 | Allentown | PA | 2.8 | 6 | - | Weak | - | ✗ | ✗ |
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| 70 | Rockford | IL | 2.8 | 6 | - | Weak | - | ✗ | ✗ |
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| 70 | Springfield | NY | 2.9 | 26 | - | Struggling | - | ✗ | ✗ |
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| 70 | Renton | WA | 2.9 | 26 | - | Struggling | - | ✗ | ✗ |
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| 70 | Colorado Springs | CO | 80910.0 | 2.8 | 6 | - | Weak | - | ✗ | ✗ |
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| 70 | Maple Grove | MN | 3.2 | 86 | - | Struggling | - | ✗ | ✗ |
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| 70 | South Burlington | VT | 3.1 | 66 | - | Struggling | - | ✗ | ✗ |
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| 70 | Asheville | NC | 3.2 | 87 | - | Struggling | - | ✗ | ✗ |
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| 70 | Wappapello | MO | 63966 | 2.9 | 27 | - | Struggling | - | ✗ | ✗ |
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| 70 | Sumter | SC | 2.8 | 8 | - | Weak | - | ✗ | ✗ |
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| 70 | Austin | TX | 3.4 | 128 | - | Struggling | - | ✗ | ✗ |
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| 70 | Tampa | FL | 3.6 | 168 | - | Average | - | ✗ | ✗ |
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| 70 | New York City | NY | 3.7 | 188 | - | Average | - | ✗ | ✗ |
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| 70 | Lynn | MA | 3.5 | 148 | - | Average | - | ✗ | ✗ |
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| 70 | Kennewick | WA | 2.8 | 8 | - | Weak | - | ✗ | ✗ |
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| 70 | Arlington Heights | IL | 2.8 | 9 | - | Weak | - | ✗ | ✗ |
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| 70 | Johnson City | TN | 2.8 | 9 | - | Weak | - | ✗ | ✗ |
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| 70 | Youngstown | OH | 2.8 | 9 | - | Weak | - | ✗ | ✗ |
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| 70 | Birmingham | AL | 3.4 | 129 | - | Struggling | - | ✗ | ✗ |
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| 70 | Mobile | AL | 3.3 | 109 | - | Struggling | - | ✗ | ✗ |
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| 70 | Falmouth | MA | 02540 | 3.4 | 119 | 1,069 | Struggling | - | ✗ | ✗ |
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| 70 | Albany | NY | 2.8 | 10 | - | Weak | - | ✗ | ✗ |
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| 70 | Vancouver | WA | 2.9 | 30 | - | Struggling | - | ✗ | ✗ |
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| 70 | Scarborough | ME | 3.1 | 70 | - | Struggling | - | ✗ | ✗ |
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| 70 | Pensacola | FL | 32503 | 4.0 | 374 | 15,900 | Established | - | ✗ | ✓ |
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| 70 | Minneapolis | MN | 3.3 | 110 | - | Struggling | - | ✗ | ✗ |
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| 70 | Chattanooga | TN | 3.1 | 71 | - | Struggling | - | ✗ | ✗ |
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| 70 | Norwalk | CT | 2.9 | 31 | - | Struggling | - | ✗ | ✗ |
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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.