Investment Data Table
Analyze 10,711 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 | 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 | Charleston | SC | 3.8 | 194 | - | Average | - | ✗ | ✗ |
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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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| 69 | Naperville | IL | 3.2 | 76 | - | Struggling | - | ✗ | ✗ |
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| 69 | Albany | OR | 3.4 | 116 | - | Struggling | - | ✗ | ✗ |
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| 69 | Aurora | IL | 3.2 | 76 | - | Struggling | - | ✗ | ✗ |
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| 69 | Elizabeth | NJ | 3.7 | 176 | - | Average | - | ✗ | ✗ |
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| 69 | Clinton | MS | 39056.0 | 3.2 | 76 | - | Struggling | - | ✗ | ✗ |
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| 69 | Cuba | NY | 14727 | 3.3 | 26 | 7,043 | Struggling | - | ✗ | ✗ |
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| 69 | St. Petersburg | FL | 3.0 | 37 | - | Struggling | - | ✗ | ✗ |
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| 69 | Clovis | NM | 3.4 | 117 | - | Struggling | - | ✗ | ✗ |
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| 69 | Independence | MO | 3.7 | 177 | - | Average | - | ✗ | ✗ |
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| 69 | Nashua | NH | 2.9 | 17 | - | Weak | - | ✗ | ✗ |
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| 69 | San Diego | CA | 92154 | 2.9 | 17 | - | Weak | - | ✗ | ✗ |
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| 69 | Old Orchard Beach | ME | 04064 | 3.5 | 86 | 5,110 | Average | - | ✗ | ✗ |
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| 69 | Charleston | SC | 3.1 | 58 | - | Struggling | - | ✗ | ✗ |
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| 69 | Waterbury | CT | 3.5 | 138 | - | Average | - | ✗ | ✗ |
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| 69 | Norwalk | CA | 2.9 | 18 | - | Weak | - | ✗ | ✗ |
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| 69 | Salisbury | MD | 2.9 | 18 | - | Weak | - | ✗ | ✗ |
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| 69 | Trenton | NJ | 3.0 | 38 | - | Struggling | - | ✗ | ✗ |
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| 69 | Wasco | CA | 93280 | 3.0 | 38 | - | Struggling | - | ✗ | ✗ |
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| 69 | Brooklyn | NY | 11229 | 3.3 | 22 | 7,695 | Struggling | - | ✗ | ✗ |
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| 69 | Lancaster | PA | 2.9 | 19 | - | Weak | - | ✗ | ✗ |
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| 69 | Flushing | NY | 11367 | 3.7 | 129 | 19,643 | Average | - | ✗ | ✓ |
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| 69 | Kearney | NE | 3.2 | 79 | - | Struggling | - | ✗ | ✗ |
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| 69 | Hialeah | FL | 3.4 | 119 | - | Struggling | - | ✗ | ✗ |
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| 69 | Alexandria | VA | 3.4 | 119 | - | Struggling | - | ✗ | ✗ |
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| 69 | Great Falls | MT | 3.7 | 179 | - | Average | - | ✗ | ✗ |
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| 69 | Epping | NH | 03042 | 3.3 | 52 | 4,737 | Struggling | - | ✗ | ✗ |
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| 69 | Joliet | IL | 3.8 | 359 | - | Average | - | ✗ | ✗ |
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| 69 | Avondale | AZ | 3.8 | 221 | - | Average | - | ✗ | ✗ |
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| 69 | Seattle | WA | 3.8 | 293 | - | Average | - | ✗ | ✗ |
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| 69 | Flint | MI | 3.8 | 214 | - | Average | - | ✗ | ✗ |
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| 69 | Florence | SC | 3.8 | 219 | - | Average | - | ✗ | ✗ |
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| 69 | Detroit | MI | 3.8 | 317 | - | Average | - | ✗ | ✗ |
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| 69 | Bloomington | IN | 3.8 | 229 | - | Average | - | ✗ | ✗ |
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| 69 | Terre Haute | IN | 3.8 | 307 | - | Average | - | ✗ | ✗ |
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| 69 | Portage | IN | 3.8 | 235 | - | Average | - | ✗ | ✗ |
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| 69 | Colorado Springs | CO | 3.8 | 202 | - | Average | - | ✗ | ✗ |
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| 69 | Thornton | CO | 3.8 | 246 | - | Average | - | ✗ | ✗ |
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| 69 | Knoxville | TN | 3.8 | 264 | - | Average | - | ✗ | ✗ |
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| 69 | Chattanooga | TN | 3.8 | 205 | - | Average | - | ✗ | ✗ |
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| 69 | Cleveland | TN | 3.8 | 237 | - | Average | - | ✗ | ✗ |
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| 69 | Brentwood | TN | 3.8 | 257 | - | Average | - | ✗ | ✗ |
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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.