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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 73 | Greeley | CO | 2.7 | 22 | - | Struggling | - | ✗ | ✗ |
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| 73 | Lawrence | KS | 2.8 | 42 | - | Struggling | - | ✗ | ✗ |
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| 73 | Arlington | TX | 76010.0 | 3.0 | 82 | - | Struggling | - | ✗ | ✗ |
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| 73 | Beloit | WI | 3.2 | 122 | - | Struggling | - | ✗ | ✗ |
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| 73 | Ridgewood | NY | 11385 | 3.9 | 181 | 8,117 | Average | - | ✗ | ✗ |
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| 73 | Muncie | IN | 2.9 | 63 | - | Struggling | - | ✗ | ✗ |
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| 73 | Johnson City | TN | 3.1 | 103 | - | Struggling | - | ✗ | ✗ |
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| 73 | Albany | NY | 2.8 | 43 | - | Struggling | - | ✗ | ✗ |
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| 73 | Oakland | CA | 2.7 | 24 | - | Struggling | - | ✗ | ✗ |
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| 74 | Scranton | PA | 2.6 | 5 | - | Weak | - | ✗ | ✗ |
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| 74 | Kearney | NE | 2.6 | 5 | - | Weak | - | ✗ | ✗ |
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| 74 | Manhattan | KS | 2.9 | 65 | - | Struggling | - | ✗ | ✗ |
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| 74 | Johnson City | TN | 3.1 | 105 | - | Struggling | - | ✗ | ✗ |
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| 74 | Birmingham | AL | 3.3 | 145 | - | Struggling | - | ✗ | ✗ |
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| 74 | Wildwood | NJ | 2.6 | 5 | - | Weak | - | ✗ | ✗ |
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| 74 | Medford | OR | 2.8 | 45 | - | Struggling | - | ✗ | ✗ |
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| 74 | Hoover | AL | 3.3 | 145 | - | Struggling | - | ✗ | ✗ |
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| 74 | Tucson | AZ | 2.6 | 5 | - | Weak | - | ✗ | ✗ |
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| 74 | Seabrook | NH | 03874 | 3.8 | 96 | 16,271 | Average | - | ✗ | ✗ |
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| 74 | Roswell | NM | 3.0 | 86 | - | Struggling | - | ✗ | ✗ |
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| 74 | Vermillion | SD | 2.8 | 46 | - | Struggling | - | ✗ | ✗ |
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| 74 | Bethlehem | PA | 2.6 | 7 | - | Weak | - | ✗ | ✗ |
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| 74 | Evanston | IL | 2.9 | 67 | - | Struggling | - | ✗ | ✗ |
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| 74 | Ashland | OR | 97520 | 3.4 | 167 | - | Struggling | - | ✗ | ✗ |
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| 74 | Waldorf | MD | 3.3 | 148 | - | Struggling | - | ✗ | ✗ |
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| 74 | Brooklyn | NY | 11211 | 3.2 | 66 | 6,309 | Struggling | - | ✗ | ✗ |
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| 74 | Scranton | PA | 3.0 | 90 | - | Struggling | - | ✗ | ✗ |
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| 74 | Berwyn | IL | 2.7 | 30 | - | Struggling | - | ✗ | ✗ |
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| 74 | Jackson | TN | 3.0 | 90 | - | Struggling | - | ✗ | ✗ |
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| 74 | Canton | OH | 3.4 | 170 | - | Struggling | - | ✗ | ✗ |
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| 74 | Springfield | OH | 2.6 | 10 | - | Weak | - | ✗ | ✗ |
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| 74 | Warwick | RI | 3.5 | 191 | - | Average | - | ✗ | ✗ |
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| 74 | Warwick | RI | 3.5 | 191 | - | Average | - | ✗ | ✗ |
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| 74 | Lake Oswego | OR | 3.4 | 171 | - | Struggling | - | ✗ | ✗ |
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| 74 | Beaverton | OR | 3.4 | 171 | - | Struggling | - | ✗ | ✗ |
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| 74 | Chesapeake | VA | 2.8 | 52 | - | Struggling | - | ✗ | ✗ |
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| 74 | Centennial | CO | 3.5 | 194 | - | Average | - | ✗ | ✗ |
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| 74 | St. Paul | MN | 2.9 | 74 | - | Struggling | - | ✗ | ✗ |
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| 74 | Oshkosh | WI | 2.9 | 74 | - | Struggling | - | ✗ | ✗ |
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| 74 | Denver | CO | 3.5 | 194 | - | Average | - | ✗ | ✗ |
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| 75 | Champaign | IL | 2.7 | 35 | - | Struggling | - | ✗ | ✗ |
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| 75 | Federal Way | WA | 3.3 | 155 | - | Struggling | - | ✗ | ✗ |
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| 75 | Kansas City | MO | 2.8 | 55 | - | Struggling | - | ✗ | ✗ |
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| 75 | Gastonia | NC | 3.3 | 155 | - | Struggling | - | ✗ | ✗ |
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| 75 | Indianapolis | IN | 3.4 | 176 | - | Struggling | - | ✗ | ✗ |
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| 75 | Flushing | NY | 11365 | 3.1 | 42 | 7,496 | Struggling | - | ✗ | ✗ |
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| 75 | Reading | PA | 3.3 | 157 | - | Struggling | - | ✗ | ✗ |
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| 75 | Hialeah | FL | 2.7 | 37 | - | Struggling | - | ✗ | ✗ |
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| 75 | Bozeman | MT | 2.6 | 18 | - | Weak | - | ✗ | ✗ |
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| 75 | Pittsburgh | PA | 2.7 | 38 | - | 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.