Investment Data Table
Analyze 6,720 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 45 | San Antonio | TX | 78201.0 | 4.5 | 522 | - | Strong | - | ✗ | ✓ |
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| 45 | Dallas | TX | 75218 | 5.0 | 1,046 | - | Strong | - | ✗ | ✗ |
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| 45 | Houston | TX | 5.0 | 584 | - | Strong | - | ✗ | ✗ |
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| 45 | Waterbury | CT | 4.8 | 160 | - | Strong | - | ✗ | ✗ |
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| 45 | Phoenix | AZ | 5.0 | 3,292 | - | Strong | - | ✗ | ✗ |
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| 45 | Fort Worth | TX | 5.0 | 214 | - | Strong | - | ✗ | ✗ |
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| 45 | El Paso | TX | 4.3 | 60 | - | Established | - | ✗ | ✗ |
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| 45 | Arlington | TX | 4.5 | 100 | - | Strong | - | ✗ | ✗ |
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| 45 | Jacksonville | FL | 5.0 | 215 | - | Strong | - | ✗ | ✗ |
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| 45 | Little Rock | AR | 5.0 | 744 | - | Strong | - | ✗ | ✗ |
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| 45 | Lowell | MA | 4.4 | 80 | - | Established | - | ✗ | ✗ |
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| 45 | Oklahoma City | OK | 5.0 | 318 | - | Strong | - | ✗ | ✗ |
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| 45 | Rochester | NY | 5.0 | 338 | - | Strong | - | ✗ | ✗ |
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| 45 | Quincy | MA | 4.7 | 140 | - | Strong | - | ✗ | ✗ |
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| 45 | Broken Arrow | OK | 5.0 | 266 | - | Strong | - | ✗ | ✗ |
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| 45 | Wichita | KS | 67208.0 | 4.5 | 775 | - | Strong | - | ✗ | ✓ |
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| 45 | Tucson | AZ | 85713.0 | 4.5 | 211 | - | Strong | - | ✗ | ✓ |
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| 45 | South Fulton | GA | 5.0 | 412 | - | Strong | - | ✗ | ✗ |
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| 45 | South Fulton | GA | 4.7 | 140 | - | Strong | - | ✗ | ✗ |
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| 45 | Long Beach | CA | 90802.0 | 4.5 | 858 | - | Strong | - | ✗ | ✓ |
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| 45 | Makakilo | HI | 5.0 | 232 | - | Strong | - | ✗ | ✗ |
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| 45 | St. Louis | MO | 5.0 | 210 | - | Strong | - | ✗ | ✗ |
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| 45 | Hemet | CA | 92545.0 | 4.5 | 275 | - | Strong | - | ✗ | ✓ |
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| 45 | Yakima | WA | 98901.0 | 4.5 | 250 | - | Strong | - | ✗ | ✓ |
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| 45 | Kansas City | MO | 5.0 | 1,029 | - | Strong | - | ✗ | ✗ |
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| 45 | Blue Springs | MO | 5.0 | 416 | - | Strong | - | ✗ | ✗ |
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| 45 | Chesterfield | MO | 5.0 | 207 | - | Strong | - | ✗ | ✗ |
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| 45 | O'Fallon | MO | 5.0 | 294 | - | Strong | - | ✗ | ✗ |
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| 45 | Wildwood | MO | 4.8 | 160 | - | Strong | - | ✗ | ✗ |
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| 45 | San Antonio | TX | 78220.0 | 4.5 | 1,094 | - | Strong | - | ✗ | ✓ |
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| 45 | Lynbrook | NY | 11563 | 4.6 | 70 | 16,939 | Established | - | ✗ | ✓ |
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| 45 | Medford | OR | 5.0 | 567 | - | Strong | - | ✗ | ✗ |
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| 45 | Portland | OR | 97215.0 | 4.5 | 413 | - | Strong | - | ✗ | ✓ |
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| 45 | Durham | NC | 5.0 | 742 | - | Strong | - | ✗ | ✗ |
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| 45 | Concord | NC | 5.0 | 690 | - | Strong | - | ✗ | ✗ |
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| 45 | Asheville | NC | 4.3 | 60 | - | Established | - | ✗ | ✗ |
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| 45 | Renton | WA | 98057.0 | 4.5 | 546 | - | Strong | - | ✗ | ✓ |
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| 45 | Jersey City | NJ | 4.3 | 60 | - | Established | - | ✗ | ✗ |
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| 45 | Paterson | NJ | 5.0 | 229 | - | Strong | - | ✗ | ✗ |
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| 45 | Kansas City | KS | 5.0 | 1,025 | - | Strong | - | ✗ | ✗ |
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| 45 | Woodbridge | NJ | 4.3 | 60 | - | Established | - | ✗ | ✗ |
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| 45 | Richmond | VA | 5.0 | 257 | - | Strong | - | ✗ | ✗ |
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| 45 | Raleigh | NC | 5.0 | 260 | - | Strong | - | ✗ | ✗ |
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| 45 | University City | MO | 63130.0 | 4.5 | 482 | - | Strong | - | ✗ | ✓ |
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| 45 | Houston | TX | 77023.0 | 4.5 | 751 | - | Strong | - | ✗ | ✓ |
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| 45 | Sioux City | IA | 4.4 | 80 | - | Established | - | ✗ | ✗ |
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| 45 | Philadelphia | PA | 5.0 | 468 | - | Strong | - | ✗ | ✗ |
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| 45 | Philadelphia | PA | 5.0 | 468 | - | Strong | - | ✗ | ✗ |
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| 45 | Philadelphia | PA | 5.0 | 468 | - | Strong | - | ✗ | ✗ |
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| 45 | Philadelphia | PA | 5.0 | 468 | - | 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.