# 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.

Metric: Business records in the cafes category. Period: As of November 3, 2026. Source: [Little Milwaukee business records, from public licenses, filings and OpenStreetMap](https://littlemilwaukee.com/records).

## City of Milwaukee neighborhoods

| Rank | Neighborhood | Business records in the cafes category | Per 1,000 residents | Share of the county |
| --- | --- | --- | --- | --- |
| 1 | [Juneau Town](https://littlemilwaukee.com/neighborhoods/juneau-town) | 16 | 2.8 | 7.4% |
| 1 | [Lower East Side](https://littlemilwaukee.com/neighborhoods/lower-east-side) | 16 | 1.4 | 7.4% |
| 3 | [Bay View](https://littlemilwaukee.com/neighborhoods/bay-view) | 13 | 0.8 | 6.0% |
| 4 | [Historic Third Ward](https://littlemilwaukee.com/neighborhoods/historic-third-ward) | 7 | 4.4 | 3.2% |
| 4 | [Kilbourn Town](https://littlemilwaukee.com/neighborhoods/kilbourn-town) | 7 | 1.3 | 3.2% |
| 4 | [Walker's Point](https://littlemilwaukee.com/neighborhoods/walkers-point) | 7 | 1.0 | 3.2% |
| 7 | [Downer Woods](https://littlemilwaukee.com/neighborhoods/downer-woods) | 5 | 1.0 | 2.3% |
| 8 | [Harbor View](https://littlemilwaukee.com/neighborhoods/harbor-view) | 4 | 2.1 | 1.8% |
| 8 | [Historic Mitchell Street](https://littlemilwaukee.com/neighborhoods/historic-mitchell-street) | 4 | 0.4 | 1.8% |
| 8 | [Riverwest](https://littlemilwaukee.com/neighborhoods/riverwest) | 4 | 0.4 | 1.8% |
| 8 | [Yankee Hill](https://littlemilwaukee.com/neighborhoods/yankee-hill) | 4 | 1.1 | 1.8% |
| 12 | [Avenues West](https://littlemilwaukee.com/neighborhoods/avenues-west) | 3 | 0.4 | 1.4% |
| 12 | [Halyard Park](https://littlemilwaukee.com/neighborhoods/halyard-park) | 3 | 3.0 | 1.4% |
| 12 | [Lake Park](https://littlemilwaukee.com/neighborhoods/lake-park) | 3 |  | 1.4% |
| 12 | [Northpoint](https://littlemilwaukee.com/neighborhoods/northpoint) | 3 | 0.5 | 1.4% |
| 16 | [Lincoln Village](https://littlemilwaukee.com/neighborhoods/lincoln-village) | 2 | 0.2 | 0.9% |
| 16 | [Mitchell West](https://littlemilwaukee.com/neighborhoods/mitchell-west) | 2 | 0.6 | 0.9% |
| 16 | [Murray Hill](https://littlemilwaukee.com/neighborhoods/murray-hill) | 2 | 0.5 | 0.9% |
| 16 | [Southgate](https://littlemilwaukee.com/neighborhoods/southgate) | 2 | 0.7 | 0.9% |
| 16 | [Southpoint](https://littlemilwaukee.com/neighborhoods/southpoint) | 2 | 0.6 | 0.9% |
| 16 | [Town of Lake](https://littlemilwaukee.com/neighborhoods/town-of-lake) | 2 | 0.4 | 0.9% |
| 16 | [Upper East Side](https://littlemilwaukee.com/neighborhoods/upper-east-side) | 2 | 0.6 | 0.9% |
| 16 | [Washington Heights](https://littlemilwaukee.com/neighborhoods/washington-heights) | 2 | 0.3 | 0.9% |
| 24 | [Arlington Gardens](https://littlemilwaukee.com/neighborhoods/arlington-gardens) | 1 | 0.5 | 0.5% |
| 24 | [Brynwood](https://littlemilwaukee.com/neighborhoods/brynwood) | 1 | 0.7 | 0.5% |
| 24 | [Burnham Park](https://littlemilwaukee.com/neighborhoods/burnham-park) | 1 | 0.1 | 0.5% |
| 24 | [Cannon Park](https://littlemilwaukee.com/neighborhoods/cannon-park) | 1 | 0.5 | 0.5% |
| 24 | [Castle Manor](https://littlemilwaukee.com/neighborhoods/castle-manor) | 1 | 0.3 | 0.5% |
| 24 | [Clarke Square](https://littlemilwaukee.com/neighborhoods/clarke-square) | 1 | 0.1 | 0.5% |
| 24 | [Concordia](https://littlemilwaukee.com/neighborhoods/concordia) | 1 | 0.4 | 0.5% |
| 24 | [Fernwood](https://littlemilwaukee.com/neighborhoods/fernwood) | 1 | 0.3 | 0.5% |
| 24 | [Green Moor](https://littlemilwaukee.com/neighborhoods/green-moor) | 1 | 1.3 | 0.5% |
| 24 | [Hawthorne Glen](https://littlemilwaukee.com/neighborhoods/hawthorne-glen) | 1 |  | 0.5% |
| 24 | [Marquette](https://littlemilwaukee.com/neighborhoods/marquette) | 1 | 0.7 | 0.5% |
| 24 | [Martin Drive](https://littlemilwaukee.com/neighborhoods/martin-drive) | 1 | 0.8 | 0.5% |
| 24 | [Menomonee River Hills East](https://littlemilwaukee.com/neighborhoods/menomonee-river-hills-east) | 1 | 0.4 | 0.5% |
| 24 | [Mount Mary](https://littlemilwaukee.com/neighborhoods/mount-mary) | 1 | 0.5 | 0.5% |
| 24 | [National Park](https://littlemilwaukee.com/neighborhoods/national-park) | 1 | 0.5 | 0.5% |
| 24 | [Roosevelt Grove](https://littlemilwaukee.com/neighborhoods/roosevelt-grove) | 1 | 0.2 | 0.5% |
| 24 | [Schlitz Park](https://littlemilwaukee.com/neighborhoods/schlitz-park) | 1 | 1.7 | 0.5% |
| 24 | [Servite Woods](https://littlemilwaukee.com/neighborhoods/servite-woods) | 1 | 1.4 | 0.5% |
| 24 | [Silver City](https://littlemilwaukee.com/neighborhoods/silver-city) | 1 | 0.2 | 0.5% |
| 24 | [Triangle](https://littlemilwaukee.com/neighborhoods/triangle) | 1 | 1.6 | 0.5% |
| 24 | [Triangle North](https://littlemilwaukee.com/neighborhoods/triangle-north) | 1 | 0.8 | 0.5% |
| 24 | [Uptown](https://littlemilwaukee.com/neighborhoods/uptown) | 1 | 0.2 | 0.5% |
| 24 | [Washington Park](https://littlemilwaukee.com/neighborhoods/washington-park) | 1 | 0.3 | 0.5% |

135 City neighborhoods aren't in this table: no record in this category is inside their boundary.

## Suburbs

| Rank | Neighborhood | Business records in the cafes category | Per 1,000 residents | Share of the county |
| --- | --- | --- | --- | --- |
| 1 | [Wauwatosa](https://littlemilwaukee.com/neighborhoods/wauwatosa) | 24 | 0.5 | 11.1% |
| 2 | [Greenfield](https://littlemilwaukee.com/neighborhoods/greenfield) | 8 | 0.2 | 3.7% |
| 2 | [Oak Creek](https://littlemilwaukee.com/neighborhoods/oak-creek) | 8 | 0.2 | 3.7% |
| 4 | [Shorewood](https://littlemilwaukee.com/neighborhoods/shorewood) | 7 | 0.5 | 3.2% |
| 4 | [West Allis](https://littlemilwaukee.com/neighborhoods/west-allis) | 7 | 0.1 | 3.2% |
| 6 | [Franklin](https://littlemilwaukee.com/neighborhoods/franklin) | 4 | 0.1 | 1.8% |
| 7 | [Glendale](https://littlemilwaukee.com/neighborhoods/glendale) | 3 | 0.2 | 1.4% |
| 7 | [Greendale](https://littlemilwaukee.com/neighborhoods/greendale) | 3 | 0.2 | 1.4% |
| 7 | [West Milwaukee](https://littlemilwaukee.com/neighborhoods/west-milwaukee) | 3 | 0.7 | 1.4% |
| 7 | [Whitefish Bay](https://littlemilwaukee.com/neighborhoods/whitefish-bay) | 3 | 0.2 | 1.4% |
| 11 | [Cudahy](https://littlemilwaukee.com/neighborhoods/cudahy) | 2 | 0.1 | 0.9% |
| 11 | [Hales Corners](https://littlemilwaukee.com/neighborhoods/hales-corners) | 2 | 0.3 | 0.9% |
| 11 | [South Milwaukee](https://littlemilwaukee.com/neighborhoods/south-milwaukee) | 2 | 0.1 | 0.9% |
| 14 | [Bayside](https://littlemilwaukee.com/neighborhoods/bayside) | 1 | 0.2 | 0.5% |
| 14 | [Fox Point](https://littlemilwaukee.com/neighborhoods/fox-point) | 1 | 0.1 | 0.5% |
| 14 | [St. Francis](https://littlemilwaukee.com/neighborhoods/st-francis) | 1 | 0.1 | 0.5% |

## How it was measured

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.