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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 79 | Norman | OK | 3.2 | 180 | - | Struggling | - | ✗ | ✗ |
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| 79 | Sparks | NV | 3.3 | 308 | - | Struggling | - | ✗ | ✗ |
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| 79 | Denver | CO | 3.3 | 260 | - | Struggling | - | ✗ | ✗ |
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| 79 | Reno | NV | 3.3 | 308 | - | Struggling | - | ✗ | ✗ |
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| 79 | Rochester | NY | 3.0 | 137 | - | Struggling | - | ✗ | ✗ |
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| 79 | Dearborn | MI | 3.0 | 136 | - | Struggling | - | ✗ | ✗ |
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| 79 | Medford | OR | 2.6 | 56 | - | Struggling | - | ✗ | ✗ |
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| 78 | Fort Collins | CO | 3.1 | 153 | - | Struggling | - | ✗ | ✗ |
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| 78 | Hampton | NH | 03842 | 3.1 | 65 | 8,741 | Struggling | - | ✗ | ✗ |
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| 78 | Aurora | CO | 2.8 | 92 | - | Struggling | - | ✗ | ✗ |
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| 78 | Centennial | CO | 2.8 | 92 | - | Struggling | - | ✗ | ✗ |
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| 78 | Fresno | CA | 3.0 | 131 | - | Struggling | - | ✗ | ✗ |
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| 78 | Cheektowaga | NY | 14225 | 4.0 | 180 | 19,521 | Established | - | ✗ | ✗ |
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| 78 | Salem | OR | 3.3 | 188 | - | Struggling | - | ✗ | ✗ |
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| 78 | Levittown | NY | 11714 | 3.5 | 77 | 18,156 | Average | - | ✗ | ✗ |
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| 78 | Pecos | TX | 79772.0 | 3.3 | 185 | - | Struggling | - | ✗ | ✗ |
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| 77 | Scranton | PA | 2.8 | 84 | - | Struggling | - | ✗ | ✗ |
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| 77 | Rock Hill | SC | 3.0 | 124 | - | Struggling | - | ✗ | ✗ |
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| 77 | Hempstead | NY | 11550 | 3.4 | 54 | 16,801 | Struggling | - | ✗ | ✗ |
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| 77 | Gastonia | NC | 2.9 | 104 | - | Struggling | - | ✗ | ✗ |
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| 77 | Flushing | NY | 11377 | 3.4 | 118 | 8,548 | Struggling | - | ✗ | ✗ |
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| 77 | El Paso | TX | 79902.0 | 2.8 | 83 | - | Struggling | - | ✗ | ✗ |
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| 77 | Murray | UT | 2.8 | 83 | - | Struggling | - | ✗ | ✗ |
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| 77 | Colorado Springs | CO | 3.4 | 224 | - | Struggling | - | ✗ | ✗ |
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| 77 | Thornton | CO | 3.4 | 210 | - | Struggling | - | ✗ | ✗ |
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| 77 | Miami | FL | 3.4 | 306 | - | Struggling | - | ✗ | ✗ |
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| 77 | Orlando | FL | 3.4 | 275 | - | Struggling | - | ✗ | ✗ |
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| 77 | Lynn | MA | 2.7 | 60 | - | Struggling | - | ✗ | ✗ |
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| 77 | El Paso | TX | 79924.0 | 3.4 | 309 | - | Struggling | - | ✗ | ✗ |
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| 77 | Auburn | WA | 3.4 | 321 | - | Struggling | - | ✗ | ✗ |
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| 77 | Lakewood | OH | 3.4 | 252 | - | Struggling | - | ✗ | ✗ |
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| 77 | Kansas City | MO | 3.4 | 237 | - | Struggling | - | ✗ | ✗ |
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| 77 | Hobbs | NM | 3.4 | 229 | - | Struggling | - | ✗ | ✗ |
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| 77 | Green Bay | WI | 3.1 | 140 | - | Struggling | - | ✗ | ✗ |
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| 77 | Waukesha | WI | 3.4 | 292 | - | Struggling | - | ✗ | ✗ |
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| 77 | Cleveland | OH | 3.4 | 252 | - | Struggling | - | ✗ | ✗ |
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| 77 | Winston-Salem | NC | 3.4 | 243 | - | Struggling | - | ✗ | ✗ |
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| 77 | Pittsburgh | PA | 3.4 | 217 | - | Struggling | - | ✗ | ✗ |
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| 77 | Bethlehem | PA | 2.8 | 79 | - | Struggling | - | ✗ | ✗ |
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| 77 | Detroit | MI | 3.0 | 118 | - | Struggling | - | ✗ | ✗ |
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| 77 | Cleveland | OH | 2.9 | 98 | - | Struggling | - | ✗ | ✗ |
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| 77 | Eugene | OR | 3.4 | 197 | - | Struggling | - | ✗ | ✗ |
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| 77 | Everett | MA | 3.4 | 197 | - | Struggling | - | ✗ | ✗ |
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| 77 | Manhattan | KS | 66502.0 | 3.4 | 196 | - | Struggling | - | ✗ | ✗ |
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| 77 | Slidell | LA | 3.2 | 155 | - | Struggling | - | ✗ | ✗ |
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| 77 | Boise | ID | 3.0 | 115 | - | Struggling | - | ✗ | ✗ |
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| 76 | Waldorf | MD | 3.2 | 154 | - | Struggling | - | ✗ | ✗ |
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| 76 | Batavia | NY | 14020 | 3.7 | 178 | 7,493 | Average | - | ✗ | ✗ |
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| 76 | Rockford | IL | 3.4 | 192 | - | Struggling | - | ✗ | ✗ |
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| 76 | Boston | MA | 3.4 | 192 | - | 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.