Investment Data Table
Analyze 10,172 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 47 | Des Moines | IA | 4.0 | 22 | - | Average | - | ✗ | ✗ |
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| 47 | Allentown | PA | 4.0 | 21 | - | Average | - | ✗ | ✗ |
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| 47 | Scranton | PA | 4.5 | 121 | - | Strong | - | ✗ | ✗ |
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| 47 | Peoria | IL | 4.0 | 21 | - | Average | - | ✗ | ✗ |
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| 47 | Los Angeles | CA | 4.3 | 81 | - | Established | - | ✗ | ✗ |
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| 47 | Greenville | SC | 4.3 | 81 | - | Established | - | ✗ | ✗ |
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| 47 | Carmel | IN | 4.4 | 101 | - | Established | - | ✗ | ✗ |
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| 47 | Nashville | TN | 4.3 | 81 | - | Established | - | ✗ | ✗ |
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| 47 | Lake Oswego | OR | 4.6 | 141 | - | Strong | - | ✗ | ✗ |
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| 47 | Springfield | MA | 4.0 | 21 | - | Average | - | ✗ | ✗ |
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| 47 | New York City | NY | 4.2 | 61 | - | Established | - | ✗ | ✗ |
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| 47 | Columbus | GA | 4.0 | 21 | - | Average | - | ✗ | ✗ |
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| 47 | Macon | GA | 4.2 | 61 | - | Established | - | ✗ | ✗ |
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| 47 | Columbia | MD | 4.4 | 101 | - | Established | - | ✗ | ✗ |
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| 47 | Dayton | OH | 4.0 | 21 | - | Average | - | ✗ | ✗ |
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| 47 | Canton | OH | 4.5 | 121 | - | Strong | - | ✗ | ✗ |
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| 47 | San Antonio | TX | 78219.0 | 3.6 | 41 | - | Average | - | ✗ | ✓ |
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| 47 | Decatur | AL | 35601.0 | 4.1 | 141 | - | Established | - | ✗ | ✓ |
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| 47 | Kenosha | WI | 4.1 | 41 | - | Average | - | ✗ | ✗ |
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| 47 | Eau Claire | WI | 4.6 | 141 | - | Strong | - | ✗ | ✗ |
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| 47 | Morgan Hill | CA | 95037.0 | 3.8 | 81 | - | Average | - | ✗ | ✓ |
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| 47 | Beaverton | OR | 4.6 | 141 | - | Strong | - | ✗ | ✗ |
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| 47 | Paterson | NJ | 4.8 | 181 | - | Strong | - | ✗ | ✗ |
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| 47 | Grand Rapids | MI | 4.5 | 121 | - | Strong | - | ✗ | ✗ |
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| 47 | Great Falls | MT | 4.2 | 61 | - | Established | - | ✗ | ✗ |
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| 47 | Helena | MT | 4.2 | 61 | - | Established | - | ✗ | ✗ |
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| 47 | Molalla | OR | 97038 | 4.6 | 141 | - | Strong | - | ✗ | ✗ |
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| 47 | Philadelphia | PA | 19131 | 4.8 | 181 | - | Strong | - | ✗ | ✗ |
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| 47 | Columbia Falls | MT | 59912.0 | 4.2 | 161 | - | Established | - | ✗ | ✓ |
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| 47 | Dubuque | IA | 4.1 | 41 | - | Average | - | ✗ | ✗ |
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| 47 | Brooklyn | NY | 11230 | 4.1 | 40 | 10,053 | Average | - | ✗ | ✓ |
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| 47 | Toms River | NJ | 08753 | 3.8 | 25 | 5,505 | Average | - | ✗ | ✓ |
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| 47 | Chicago | IL | 4.9 | 335 | - | Strong | - | ✗ | ✗ |
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| 47 | Chicago | IL | 4.9 | 767 | - | Strong | - | ✗ | ✗ |
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| 47 | Reading | PA | 4.9 | 230 | - | Strong | - | ✗ | ✗ |
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| 47 | Charleston | SC | 4.9 | 629 | - | Strong | - | ✗ | ✗ |
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| 47 | Waukegan | IL | 4.3 | 80 | - | Established | - | ✗ | ✗ |
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| 47 | Cicero | IL | 4.9 | 266 | - | Strong | - | ✗ | ✗ |
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| 47 | Philadelphia | PA | 19132 | 4.9 | 209 | - | Strong | - | ✗ | ✗ |
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| 47 | Gilbert | AZ | 4.9 | 421 | - | Strong | - | ✗ | ✗ |
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| 47 | Indianapolis | IN | 4.9 | 628 | - | Strong | - | ✗ | ✗ |
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| 47 | Los Angeles | CA | 4.9 | 404 | - | Strong | - | ✗ | ✗ |
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| 47 | Fort Worth | TX | 76110.0 | 3.9 | 0 | - | Unproven | - | ✗ | ✗ |
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| 47 | Greenville | SC | 4.9 | 638 | - | Strong | - | ✗ | ✗ |
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| 47 | Greenville | SC | 4.1 | 40 | - | Average | - | ✗ | ✗ |
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| 47 | Baltimore | MD | 4.9 | 1,560 | - | Strong | - | ✗ | ✗ |
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| 47 | South Kingstown | RI | 4.9 | 1,981 | - | Strong | - | ✗ | ✗ |
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| 47 | Tarzana | CA | 91356.0 | 3.9 | 0 | - | Unproven | - | ✗ | ✗ |
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| 47 | San Francisco | CA | 4.2 | 60 | - | Established | - | ✗ | ✗ |
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| 47 | Wyoming | MI | 4.5 | 120 | - | Strong | - | ✗ | ✗ |
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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.