Which Milwaukee neighborhood has the most cafes?
It's a tie. Juneau Town and the Lower East Side have the most cafes of any City of Milwaukee neighborhood, with 16 cafes.
The top 5 City neighborhoods have 42.8% of the City's 138 cafes. Count by residents and the Historic Third Ward is highest, with 4.4 per 1,000 residents, and it ranks 4th by plain count.
- Highest
- 2 tied
- 16
- Middle City neighborhood
- 2
- Of 46 ranked
- Metric
- Business records in the cafes category
- Year
- As of November 3, 2026
Milwaukee County by business records in the cafes category
Darker means a higher number. Lake Michigan is on the right. Press a shape to open that neighborhood.
- 1 Juneau Town: 16
- 2 Lower East Side: 16
- 3 Bay View: 13
- 1 to 2
- 3
- 4 to 24
- None on record or no figure
Business records in the cafes 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
Business records in the cafes category, as of November 3, 2026. 135 City neighborhoods aren't in this table: no record in this category is inside their boundary.
46 of 46
No matches on this page.
Suburbs
| Wauwatosa | 1 | 24 | 0.5 | 11.1% |
|---|---|---|---|---|
| Greenfield | 2 | 8 | 0.2 | 3.7% |
| Oak Creek | 2 | 8 | 0.2 | 3.7% |
| Shorewood | 4 | 7 | 0.5 | 3.2% |
| West Allis | 4 | 7 | 0.1 | 3.2% |
| Franklin | 6 | 4 | 0.1 | 1.8% |
| Glendale | 7 | 3 | 0.2 | 1.4% |
| Greendale | 7 | 3 | 0.2 | 1.4% |
| West Milwaukee | 7 | 3 | 0.7 | 1.4% |
| Whitefish Bay | 7 | 3 | 0.2 | 1.4% |
| Cudahy | 11 | 2 | 0.1 | 0.9% |
| Hales Corners | 11 | 2 | 0.3 | 0.9% |
| South Milwaukee | 11 | 2 | 0.1 | 0.9% |
| Bayside | 14 | 1 | 0.2 | 0.5% |
| Fox Point | 14 | 1 | 0.1 | 0.5% |
| St. Francis | 14 | 1 | 0.1 | 0.5% |
How we measured this
We count the business records we've placed in the cafes 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 is higher in places where more records are uncategorized.