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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 67 | St. Paul | MN | 3.9 | 288 | - | Average | - | ✗ | ✗ |
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| 67 | Duluth | MN | 3.9 | 289 | - | Average | - | ✗ | ✗ |
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| 67 | St. Cloud | MN | 3.9 | 203 | - | Average | - | ✗ | ✗ |
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| 67 | Biloxi | MS | 3.9 | 201 | - | Average | - | ✗ | ✗ |
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| 67 | Cleveland | OH | 3.9 | 418 | - | Average | - | ✗ | ✗ |
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| 67 | Cincinnati | OH | 3.9 | 303 | - | Average | - | ✗ | ✗ |
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| 67 | Cincinnati | OH | 3.1 | 40 | - | Struggling | - | ✗ | ✗ |
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| 67 | Toledo | OH | 3.9 | 228 | - | Average | - | ✗ | ✗ |
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| 67 | Parma | OH | 3.9 | 303 | - | Average | - | ✗ | ✗ |
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| 67 | Canton | OH | 3.9 | 210 | - | Average | - | ✗ | ✗ |
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| 67 | Springfield | OH | 3.9 | 814 | - | Average | - | ✗ | ✗ |
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| 67 | Biloxi | MS | 39531.0 | 3.9 | 210 | - | Average | - | ✗ | ✗ |
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| 67 | Virginia Beach | VA | 3.9 | 236 | - | Average | - | ✗ | ✗ |
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| 67 | Las Vegas | NV | 3.9 | 315 | - | Average | - | ✗ | ✗ |
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| 67 | Las Vegas | NV | 3.4 | 100 | - | Struggling | - | ✗ | ✗ |
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| 67 | Henderson | NV | 3.9 | 334 | - | Average | - | ✗ | ✗ |
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| 67 | Minneapolis | MN | 3.9 | 376 | - | Average | - | ✗ | ✗ |
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| 67 | Kansas City | MO | 3.9 | 418 | - | Average | - | ✗ | ✗ |
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| 67 | Kansas City | MO | 3.9 | 503 | - | Average | - | ✗ | ✗ |
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| 67 | Kansas City | MO | 3.9 | 287 | - | Average | - | ✗ | ✗ |
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| 67 | Kansas City | MO | 3.9 | 202 | - | Average | - | ✗ | ✗ |
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| 67 | Springfield | MO | 3.9 | 223 | - | Average | - | ✗ | ✗ |
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| 67 | Hanceville | AL | 35077.0 | 2.9 | 0 | - | Weak | - | ✗ | ✗ |
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| 67 | Beaverton | OR | 3.9 | 701 | - | Average | - | ✗ | ✗ |
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| 67 | Cleveland | OH | 3.9 | 303 | - | Average | - | ✗ | ✗ |
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| 67 | Simi Valley | CA | 93065.0 | 2.4 | 0 | - | Weak | - | ✗ | ✓ |
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| 67 | Lake Oswego | OR | 3.9 | 701 | - | Average | - | ✗ | ✗ |
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| 67 | Alton | IL | 62002.0 | 2.4 | 0 | - | Weak | - | ✗ | ✓ |
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| 67 | Lawton | OK | 73505.0 | 3.9 | 380 | - | Average | - | ✗ | ✗ |
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| 67 | Greensboro | NC | 3.9 | 842 | - | Average | - | ✗ | ✗ |
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| 67 | Sioux Falls | SD | 3.9 | 312 | - | Average | - | ✗ | ✗ |
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| 67 | Sioux Falls | SD | 3.9 | 240 | - | Average | - | ✗ | ✗ |
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| 67 | Dallas | TX | 3.9 | 248 | - | Average | - | ✗ | ✗ |
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| 67 | Homestead | FL | 33030 | 3.9 | 243 | - | Average | - | ✗ | ✗ |
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| 67 | Woodbridge | NJ | 3.9 | 207 | - | Average | - | ✗ | ✗ |
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| 67 | Great Falls | MT | 3.9 | 274 | - | Average | - | ✗ | ✗ |
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| 67 | Portsmouth | VA | 3.9 | 307 | - | Average | - | ✗ | ✗ |
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| 67 | Little Rock | AR | 3.9 | 308 | - | Average | - | ✗ | ✗ |
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| 67 | Phoenix | AZ | 3.9 | 289 | - | Average | - | ✗ | ✗ |
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| 67 | Phoenix | AZ | 3.9 | 272 | - | Average | - | ✗ | ✗ |
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| 67 | Knoxville | TN | 3.9 | 239 | - | Average | - | ✗ | ✗ |
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| 67 | Santa Barbara | CA | 93103.0 | 2.9 | 0 | - | Weak | - | ✗ | ✗ |
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| 67 | Denver | CO | 3.9 | 275 | - | Average | - | ✗ | ✗ |
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| 67 | Davenport | IA | 3.9 | 390 | - | Average | - | ✗ | ✗ |
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| 67 | Denver | CO | 3.8 | 180 | - | Average | - | ✗ | ✗ |
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| 67 | Denver | CO | 3.8 | 180 | - | Average | - | ✗ | ✗ |
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| 67 | Conway | AR | 3.6 | 140 | - | Average | - | ✗ | ✗ |
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| 67 | Phoenix | AZ | 3.9 | 212 | - | Average | - | ✗ | ✗ |
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| 67 | Boise | ID | 3.0 | 20 | - | Struggling | - | ✗ | ✗ |
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| 67 | Sherwood | AR | 3.9 | 308 | - | 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.