Which Milwaukee neighborhood has the most ice cream shops?
The Lower East Side has the most ice cream shops of any City of Milwaukee neighborhood, with 3 ice cream shops.
Count by residents and Martin Drive comes first, at 0.8 per 1,000, even though it ranks 4th by plain count. Among the suburbs, Wauwatosa has the most, at 4.
- Middle City neighborhood
- 1
- Of 12 ranked
- Metric
- Records in the ice cream shops category
- Year
- As of November 3, 2026
Milwaukee County by records in the ice cream shops category
Darker means a higher number. Lake Michigan is on the right. Press a shape to open that neighborhood.
- 1 Lower East Side: 3
- 2 Walker's Point: 2
- 3 Washington Heights: 2
- 1
- 2 to 4
- None on record or no figure
Records in the ice cream shops category, as of November 3, 2026. Each color holds about the same number of neighborhoods. The heavy line is the City of Milwaukee boundary.
City of Milwaukee neighborhoods
Records in the ice cream shops category, as of November 3, 2026. 169 City neighborhoods aren't in this table: no record in this category is inside their boundary.
12 of 12
No matches on this page.
| Lower East Side | 1 | 3 | 0.3 |
|---|---|---|---|
| Walker's Point | 2 | 2 | 0.3 |
| Washington Heights | 2 | 2 | 0.3 |
| Bay View | 4 | 1 | 0.1 |
| Bluemound Heights | 4 | 1 | 0.3 |
| Capitol Heights | 4 | 1 | 0.2 |
| Estabrook Park | 4 | 1 | |
| Historic Mitchell Street | 4 | 1 | 0.1 |
| Historic Third Ward | 4 | 1 | 0.6 |
| Lincoln Village | 4 | 1 | 0.1 |
| Martin Drive | 4 | 1 | 0.8 |
| Muskego Way | 4 | 1 | 0.1 |
Suburbs
| Wauwatosa | 1 | 4 | 0.1 |
|---|---|---|---|
| Franklin | 2 | 2 | 0.1 |
| Glendale | 2 | 2 | 0.1 |
| Greenfield | 2 | 2 | 0.1 |
| Oak Creek | 2 | 2 | 0.1 |
| West Allis | 2 | 2 | 0.0 |
| Bayside | 7 | 1 | 0.2 |
| Cudahy | 7 | 1 | 0.1 |
| Fox Point | 7 | 1 | 0.1 |
| South Milwaukee | 7 | 1 | 0.0 |
| St. Francis | 7 | 1 | 0.1 |
How we measured this
We count the business records we've placed in the ice cream shops category, by the neighborhood boundary each address is inside.
What would change the answer
A record's category comes from its license and from public sources, and we don't have a category for every record. So the true count can be higher where more records have no category.