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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 68 | Tower City | PA | 17980 | 3.1 | 0 | 4,881 | Weak | - | ✗ | ✗ |
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| 68 | Fort Wayne | IN | 3.4 | 109 | - | Struggling | - | ✗ | ✗ |
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| 68 | San Antonio | TX | 78223.0 | 3.6 | 149 | - | Average | - | ✗ | ✗ |
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| 68 | Brooklyn | NY | 11223 | 3.8 | 139 | 20,325 | Average | - | ✗ | ✓ |
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| 68 | Tuscaloosa | AL | 3.4 | 109 | - | Struggling | - | ✗ | ✗ |
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| 68 | Lindsay | CA | 93247 | 3.0 | 29 | - | Struggling | - | ✗ | ✗ |
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| 68 | Greenville | SC | 2.9 | 10 | - | Weak | - | ✗ | ✗ |
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| 68 | Jeffersontown | KY | 3.4 | 110 | - | Struggling | - | ✗ | ✗ |
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| 68 | Oak Bluffs | MA | 02557 | 2.4 | 0 | 1,000 | Weak | - | ✗ | ✓ |
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| 68 | Lakeport | CA | 95453.0 | 3.4 | 110 | - | Struggling | - | ✗ | ✗ |
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| 68 | Cranston | RI | 3.2 | 70 | - | Struggling | - | ✗ | ✗ |
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| 68 | Portland | OR | 97210.0 | 3.3 | 190 | - | Struggling | - | ✗ | ✓ |
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| 68 | Hattiesburg | MS | 2.9 | 10 | - | Weak | - | ✗ | ✗ |
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| 68 | Hoover | AL | 3.0 | 30 | - | Struggling | - | ✗ | ✗ |
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| 68 | Uniondale | NY | 11553 | 4.1 | 217 | 16,438 | Established | - | ✗ | ✓ |
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| 68 | Murray | UT | 3.6 | 150 | - | Average | - | ✗ | ✗ |
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| 68 | Woodbridge | NJ | 3.0 | 30 | - | Struggling | - | ✗ | ✗ |
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| 68 | Bedford | NH | 2.9 | 10 | - | Weak | - | ✗ | ✗ |
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| 68 | Scottsdale | AZ | 3.7 | 171 | - | Average | - | ✗ | ✗ |
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| 68 | Omaha | NE | 3.1 | 51 | - | Struggling | - | ✗ | ✗ |
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| 68 | Orlando | FL | 3.8 | 191 | - | Average | - | ✗ | ✗ |
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| 68 | Minot | ND | 3.8 | 191 | - | Average | - | ✗ | ✗ |
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| 68 | Manchester | NH | 3.2 | 71 | - | Struggling | - | ✗ | ✗ |
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| 68 | Bedford | NH | 3.2 | 71 | - | Struggling | - | ✗ | ✗ |
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| 68 | Pittsburgh | PA | 3.0 | 31 | - | Struggling | - | ✗ | ✗ |
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| 68 | Mesa | AZ | 3.0 | 32 | - | Struggling | - | ✗ | ✗ |
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| 68 | Bolingbrook | IL | 3.3 | 92 | - | Struggling | - | ✗ | ✗ |
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| 68 | Richmond | IN | 3.3 | 92 | - | Struggling | - | ✗ | ✗ |
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| 68 | Knoxville | TN | 3.6 | 152 | - | Average | - | ✗ | ✗ |
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| 68 | Kearney | NE | 3.0 | 32 | - | Struggling | - | ✗ | ✗ |
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| 68 | Norwalk | CT | 2.9 | 12 | - | Weak | - | ✗ | ✗ |
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| 68 | Tampa | FL | 3.8 | 192 | - | Average | - | ✗ | ✗ |
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| 68 | Quincy | MA | 3.0 | 32 | - | Struggling | - | ✗ | ✗ |
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| 68 | Kingsport | TN | 3.6 | 153 | - | Average | - | ✗ | ✗ |
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| 68 | Cleveland | TN | 3.5 | 133 | - | Average | - | ✗ | ✗ |
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| 68 | Quincy | MA | 3.5 | 133 | - | Average | - | ✗ | ✗ |
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| 68 | Pittsburgh | PA | 3.2 | 73 | - | Struggling | - | ✗ | ✗ |
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| 68 | North Charleston | SC | 3.8 | 194 | - | Average | - | ✗ | ✗ |
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| 68 | Skokie | IL | 3.3 | 94 | - | Struggling | - | ✗ | ✗ |
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| 68 | Oakland | CA | 3.0 | 34 | - | Struggling | - | ✗ | ✗ |
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| 68 | Pueblo | CO | 3.7 | 174 | - | Average | - | ✗ | ✗ |
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| 68 | Savannah | GA | 2.9 | 14 | - | Weak | - | ✗ | ✗ |
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| 68 | Reno | NV | 2.9 | 14 | - | Weak | - | ✗ | ✗ |
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| 68 | Inwood | NY | 11096 | 3.2 | 24 | 25,046 | Struggling | - | ✗ | ✓ |
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| 68 | Pensacola | FL | 32504 | 4.0 | 184 | 27,000 | Established | - | ✗ | ✓ |
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| 68 | Quincy | CA | 95971 | 3.2 | 74 | - | Struggling | - | ✗ | ✗ |
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| 69 | Columbia | SC | 3.3 | 95 | - | Struggling | - | ✗ | ✗ |
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| 69 | Sioux City | IA | 3.0 | 35 | - | Struggling | - | ✗ | ✗ |
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| 69 | Buffalo | NY | 14223 | 3.5 | 103 | 3,225 | Average | - | ✗ | ✗ |
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| 69 | Joliet | IL | 3.1 | 56 | - | 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.