Investment Data Table
Analyze 4,505 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 73 | Knoxville | TN | 3.6 | 318 | - | Average | - | ✗ | ✗ |
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| 73 | Arvada | CO | 3.6 | 287 | - | Average | - | ✗ | ✗ |
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| 73 | Wilmington | DE | 3.1 | 100 | - | Struggling | - | ✗ | ✗ |
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| 73 | New York City | NY | 3.6 | 308 | - | Average | - | ✗ | ✗ |
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| 73 | Minneapolis | MN | 3.6 | 281 | - | Average | - | ✗ | ✗ |
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| 73 | Duluth | MN | 3.6 | 223 | - | Average | - | ✗ | ✗ |
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| 73 | Las Vegas | NV | 3.6 | 469 | - | Average | - | ✗ | ✗ |
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| 73 | Huntsville | AL | 3.6 | 231 | - | Average | - | ✗ | ✗ |
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| 73 | Greenfield | WI | 3.6 | 250 | - | Average | - | ✗ | ✗ |
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| 73 | Minneapolis | MN | 3.6 | 281 | - | Average | - | ✗ | ✗ |
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| 73 | Vergennes | VT | 3.1 | 100 | - | Struggling | - | ✗ | ✗ |
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| 73 | Tucson | AZ | 3.6 | 276 | - | Average | - | ✗ | ✗ |
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| 73 | Oklahoma City | OK | 3.5 | 181 | - | Average | - | ✗ | ✗ |
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| 73 | North Las Vegas | NV | 3.5 | 181 | - | Average | - | ✗ | ✗ |
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| 73 | Las Vegas | NV | 3.5 | 181 | - | Average | - | ✗ | ✗ |
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| 73 | Beloit | WI | 3.2 | 122 | - | Struggling | - | ✗ | ✗ |
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| 73 | Ridgewood | NY | 11385 | 3.9 | 181 | 8,117 | Average | - | ✗ | ✗ |
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| 73 | Johnson City | TN | 3.1 | 103 | - | Struggling | - | ✗ | ✗ |
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| 74 | Johnson City | TN | 3.1 | 105 | - | Struggling | - | ✗ | ✗ |
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| 74 | Birmingham | AL | 3.3 | 145 | - | Struggling | - | ✗ | ✗ |
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| 74 | Hoover | AL | 3.3 | 145 | - | Struggling | - | ✗ | ✗ |
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| 74 | Ashland | OR | 97520 | 3.4 | 167 | - | Struggling | - | ✗ | ✗ |
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| 74 | Waldorf | MD | 3.3 | 148 | - | Struggling | - | ✗ | ✗ |
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| 74 | Canton | OH | 3.4 | 170 | - | Struggling | - | ✗ | ✗ |
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| 74 | Warwick | RI | 3.5 | 191 | - | Average | - | ✗ | ✗ |
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| 74 | Warwick | RI | 3.5 | 191 | - | Average | - | ✗ | ✗ |
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| 74 | Lake Oswego | OR | 3.4 | 171 | - | Struggling | - | ✗ | ✗ |
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| 74 | Beaverton | OR | 3.4 | 171 | - | Struggling | - | ✗ | ✗ |
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| 74 | Centennial | CO | 3.5 | 194 | - | Average | - | ✗ | ✗ |
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| 74 | Denver | CO | 3.5 | 194 | - | Average | - | ✗ | ✗ |
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| 75 | Federal Way | WA | 3.3 | 155 | - | Struggling | - | ✗ | ✗ |
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| 75 | Gastonia | NC | 3.3 | 155 | - | Struggling | - | ✗ | ✗ |
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| 75 | Indianapolis | IN | 3.4 | 176 | - | Struggling | - | ✗ | ✗ |
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| 75 | Reading | PA | 3.3 | 157 | - | Struggling | - | ✗ | ✗ |
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| 75 | Lewiston | ID | 3.5 | 209 | - | Average | - | ✗ | ✗ |
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| 75 | Tempe | AZ | 3.5 | 362 | - | Average | - | ✗ | ✗ |
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| 75 | Seattle | WA | 3.5 | 239 | - | Average | - | ✗ | ✗ |
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| 75 | Lafayette | IN | 3.5 | 280 | - | Average | - | ✗ | ✗ |
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| 75 | Crescent City | CA | 95531 | 3.5 | 201 | - | Average | - | ✗ | ✗ |
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| 75 | Bartlesville | OK | 3.5 | 219 | - | Average | - | ✗ | ✗ |
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| 75 | Honolulu | HI | 3.5 | 377 | - | Average | - | ✗ | ✗ |
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| 75 | Columbia | MD | 3.5 | 240 | - | Average | - | ✗ | ✗ |
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| 75 | Shoreline | WA | 3.5 | 239 | - | Average | - | ✗ | ✗ |
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| 75 | St. Paul | MN | 3.5 | 202 | - | Average | - | ✗ | ✗ |
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| 75 | Minneapolis | MN | 3.5 | 202 | - | Average | - | ✗ | ✗ |
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| 75 | Lafayette | IN | 3.5 | 281 | - | Average | - | ✗ | ✗ |
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| 75 | Orem | UT | 3.5 | 222 | - | Average | - | ✗ | ✗ |
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| 75 | Mesa | AZ | 3.5 | 362 | - | Average | - | ✗ | ✗ |
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| 75 | Hot Springs | AR | 3.5 | 256 | - | Average | - | ✗ | ✗ |
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| 75 | Benton | AR | 3.5 | 214 | - | 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.