Investment Data Table
Analyze 9,861 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 57 | Springfield | MA | 4.0 | 117 | - | Established | - | ✗ | ✗ |
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| 57 | Yonkers | NY | 3.9 | 97 | - | Average | - | ✗ | ✗ |
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| 57 | Mount Vernon | NY | 3.5 | 17 | - | Average | - | ✗ | ✗ |
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| 57 | Duluth | MN | 3.8 | 77 | - | Average | - | ✗ | ✗ |
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| 57 | Las Vegas | NV | 3.7 | 57 | - | Average | - | ✗ | ✗ |
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| 57 | Racine | WI | 3.6 | 37 | - | Average | - | ✗ | ✗ |
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| 57 | Fond du Lac | WI | 3.8 | 77 | - | Average | - | ✗ | ✗ |
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| 57 | Greenfield | WI | 4.1 | 137 | - | Established | - | ✗ | ✗ |
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| 57 | Wilmington | NC | 4.4 | 197 | - | Established | - | ✗ | ✗ |
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| 57 | Murray | UT | 3.8 | 77 | - | Average | - | ✗ | ✗ |
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| 57 | Draper | UT | 4.3 | 177 | - | Established | - | ✗ | ✗ |
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| 57 | Chesapeake | VA | 3.5 | 17 | - | Average | - | ✗ | ✗ |
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| 57 | Juneau | AK | 3.5 | 17 | - | Average | - | ✗ | ✗ |
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| 57 | San Diego | CA | 92173 | 3.8 | 77 | - | Average | - | ✗ | ✗ |
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| 57 | Rogers | AR | 3.9 | 97 | - | Average | - | ✗ | ✗ |
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| 57 | Bar Harbor | ME | 04609 | 3.7 | 120 | 3,619 | Average | - | ✗ | ✓ |
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| 57 | Myrtle Beach | SC | 3.9 | 96 | - | Average | - | ✗ | ✗ |
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| 57 | Centennial | CO | 4.3 | 176 | - | Established | - | ✗ | ✗ |
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| 57 | Johnson City | TN | 3.8 | 76 | - | Average | - | ✗ | ✗ |
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| 57 | Austin | TX | 4.0 | 116 | - | Established | - | ✗ | ✗ |
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| 57 | Kenner | LA | 3.8 | 76 | - | Average | - | ✗ | ✗ |
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| 57 | Lynn | MA | 3.9 | 96 | - | Average | - | ✗ | ✗ |
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| 57 | Lynn | MA | 3.6 | 36 | - | Average | - | ✗ | ✗ |
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| 57 | Savannah | GA | 3.8 | 76 | - | Average | - | ✗ | ✗ |
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| 57 | Augusta | ME | 4.1 | 136 | - | Established | - | ✗ | ✗ |
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| 57 | Edina | MN | 4.2 | 156 | - | Established | - | ✗ | ✗ |
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| 57 | Dallas | TX | 75216.0 | 4.0 | 116 | - | Established | - | ✗ | ✗ |
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| 57 | Sumter | SC | 29150 | 4.1 | 136 | - | Established | - | ✗ | ✗ |
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| 57 | Draper | UT | 3.5 | 16 | - | Average | - | ✗ | ✗ |
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| 57 | Chesapeake | VA | 3.7 | 56 | - | Average | - | ✗ | ✗ |
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| 57 | Chesapeake | VA | 4.1 | 136 | - | Established | - | ✗ | ✗ |
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| 57 | Lewiston | ME | 04240 | 4.5 | 316 | 11,593 | Strong | - | ✗ | ✓ |
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| 57 | Groveland | MA | 01834 | 4.0 | 41 | 7,448 | Average | - | ✗ | ✗ |
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| 57 | Allentown | PA | 3.5 | 15 | - | Average | - | ✗ | ✗ |
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| 57 | Glendale | AZ | 4.3 | 175 | - | Established | - | ✗ | ✗ |
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| 57 | Greenville | SC | 4.2 | 155 | - | Established | - | ✗ | ✗ |
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| 57 | San Diego | CA | 3.8 | 75 | - | Average | - | ✗ | ✗ |
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| 57 | San Jose | CA | 3.9 | 95 | - | Average | - | ✗ | ✗ |
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| 57 | Bloomington | IL | 4.2 | 155 | - | Established | - | ✗ | ✗ |
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| 57 | Long Beach | CA | 3.5 | 15 | - | Average | - | ✗ | ✗ |
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| 57 | Oklahoma City | OK | 73107 | 3.9 | 95 | - | Average | - | ✗ | ✗ |
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| 57 | Seaford | DE | 3.8 | 75 | - | Average | - | ✗ | ✗ |
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| 57 | Springfield | MA | 4.1 | 135 | - | Established | - | ✗ | ✗ |
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| 57 | Tulsa | OK | 3.9 | 95 | - | Average | - | ✗ | ✗ |
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| 57 | Mount Vernon | NY | 3.6 | 35 | - | Average | - | ✗ | ✗ |
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| 57 | Baltimore | MD | 4.4 | 195 | - | Established | - | ✗ | ✗ |
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| 57 | Providence | RI | 3.7 | 55 | - | Average | - | ✗ | ✗ |
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| 57 | Lewiston | ME | 4.3 | 175 | - | Established | - | ✗ | ✗ |
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| 57 | Minneapolis | MN | 3.6 | 35 | - | Average | - | ✗ | ✗ |
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| 57 | Manchester | NH | 4.2 | 155 | - | Established | - | ✗ | ✗ |
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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.