# Which Milwaukee neighborhood has the most banks? Juneau Town has the most banks of any City of Milwaukee neighborhood, with 20 banks. The top 5 neighborhoods have 31.5% of the City's 124 banks. Among the suburbs, West Allis has the most, at 19. Metric: Records in the banks 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 | Records in the banks category | Per 1,000 residents | | --- | --- | --- | --- | | 1 | [Juneau Town](https://littlemilwaukee.com/neighborhoods/juneau-town) | 20 | 3.5 | | 2 | [Capitol Heights](https://littlemilwaukee.com/neighborhoods/capitol-heights) | 6 | 0.9 | | 2 | [Historic Mitchell Street](https://littlemilwaukee.com/neighborhoods/historic-mitchell-street) | 6 | 0.6 | | 4 | [Bay View](https://littlemilwaukee.com/neighborhoods/bay-view) | 4 | 0.3 | | 5 | [Arlington Gardens](https://littlemilwaukee.com/neighborhoods/arlington-gardens) | 3 | 1.6 | | 5 | [Clarke Square](https://littlemilwaukee.com/neighborhoods/clarke-square) | 3 | 0.4 | | 5 | [Lincoln Creek](https://littlemilwaukee.com/neighborhoods/lincoln-creek) | 3 | 0.4 | | 5 | [Lower East Side](https://littlemilwaukee.com/neighborhoods/lower-east-side) | 3 | 0.3 | | 5 | [Southgate](https://littlemilwaukee.com/neighborhoods/southgate) | 3 | 1.1 | | 5 | [Walker's Point](https://littlemilwaukee.com/neighborhoods/walkers-point) | 3 | 0.4 | | 11 | [Avenues West](https://littlemilwaukee.com/neighborhoods/avenues-west) | 2 | 0.2 | | 11 | [Enderis Park](https://littlemilwaukee.com/neighborhoods/enderis-park) | 2 | 0.6 | | 11 | [Harbor View](https://littlemilwaukee.com/neighborhoods/harbor-view) | 2 | 1.0 | | 11 | [Haymarket](https://littlemilwaukee.com/neighborhoods/haymarket) | 2 | 3.0 | | 11 | [Lincoln Village](https://littlemilwaukee.com/neighborhoods/lincoln-village) | 2 | 0.2 | | 11 | [Menomonee River Hills East](https://littlemilwaukee.com/neighborhoods/menomonee-river-hills-east) | 2 | 0.8 | | 11 | [Mitchell West](https://littlemilwaukee.com/neighborhoods/mitchell-west) | 2 | 0.6 | | 11 | [Morgandale](https://littlemilwaukee.com/neighborhoods/morgandale) | 2 | 0.2 | | 11 | [Murray Hill](https://littlemilwaukee.com/neighborhoods/murray-hill) | 2 | 0.5 | | 11 | [National Park](https://littlemilwaukee.com/neighborhoods/national-park) | 2 | 1.0 | | 11 | [Northridge](https://littlemilwaukee.com/neighborhoods/northridge) | 2 | 1.5 | | 11 | [River Bend](https://littlemilwaukee.com/neighborhoods/river-bend) | 2 | 1.2 | | 11 | [Southpoint](https://littlemilwaukee.com/neighborhoods/southpoint) | 2 | 0.6 | | 11 | [Timmerman West](https://littlemilwaukee.com/neighborhoods/timmerman-west) | 2 | 0.5 | | 11 | [Tippecanoe](https://littlemilwaukee.com/neighborhoods/tippecanoe) | 2 | 0.3 | | 11 | [Uptown](https://littlemilwaukee.com/neighborhoods/uptown) | 2 | 0.4 | | 11 | [Williamsburg](https://littlemilwaukee.com/neighborhoods/williamsburg) | 2 | 1.2 | | 28 | [Amani](https://littlemilwaukee.com/neighborhoods/amani) | 1 | 0.2 | | 28 | [Bluemound Heights](https://littlemilwaukee.com/neighborhoods/bluemound-heights) | 1 | 0.3 | | 28 | [Brewer's Hill](https://littlemilwaukee.com/neighborhoods/brewers-hill) | 1 | 0.4 | | 28 | [Brynwood](https://littlemilwaukee.com/neighborhoods/brynwood) | 1 | 0.7 | | 28 | [Clock Tower Acres](https://littlemilwaukee.com/neighborhoods/clock-tower-acres) | 1 | 1.2 | | 28 | [Dineen Park](https://littlemilwaukee.com/neighborhoods/dineen-park) | 1 | 0.3 | | 28 | [Downer Woods](https://littlemilwaukee.com/neighborhoods/downer-woods) | 1 | 0.2 | | 28 | [Estabrook Park](https://littlemilwaukee.com/neighborhoods/estabrook-park) | 1 | | | 28 | [Euclid Park](https://littlemilwaukee.com/neighborhoods/euclid-park) | 1 | 0.5 | | 28 | [Franklin Heights](https://littlemilwaukee.com/neighborhoods/franklin-heights) | 1 | 0.2 | | 28 | [Golden Valley](https://littlemilwaukee.com/neighborhoods/golden-valley) | 1 | 0.4 | | 28 | [Harambee](https://littlemilwaukee.com/neighborhoods/harambee) | 1 | 0.1 | | 28 | [Hawley Farms](https://littlemilwaukee.com/neighborhoods/hawley-farms) | 1 | 0.8 | | 28 | [Highwood Estates](https://littlemilwaukee.com/neighborhoods/highwood-estates) | 1 | 0.4 | | 28 | [Historic Third Ward](https://littlemilwaukee.com/neighborhoods/historic-third-ward) | 1 | 0.6 | | 28 | [Jackson Park](https://littlemilwaukee.com/neighborhoods/jackson-park) | 1 | 0.1 | | 28 | [Kilbourn Town](https://littlemilwaukee.com/neighborhoods/kilbourn-town) | 1 | 0.2 | | 28 | [Long View](https://littlemilwaukee.com/neighborhoods/long-view) | 1 | 0.4 | | 28 | [Marquette](https://littlemilwaukee.com/neighborhoods/marquette) | 1 | 0.7 | | 28 | [Merrill Park](https://littlemilwaukee.com/neighborhoods/merrill-park) | 1 | 0.4 | | 28 | [Midtown](https://littlemilwaukee.com/neighborhoods/midtown) | 1 | 0.2 | | 28 | [Muskego Way](https://littlemilwaukee.com/neighborhoods/muskego-way) | 1 | 0.1 | | 28 | [Nash Park](https://littlemilwaukee.com/neighborhoods/nash-park) | 1 | 0.5 | | 28 | [Northpoint](https://littlemilwaukee.com/neighborhoods/northpoint) | 1 | 0.2 | | 28 | [Old North Milwaukee](https://littlemilwaukee.com/neighborhoods/old-north-milwaukee) | 1 | 0.1 | | 28 | [Park Place](https://littlemilwaukee.com/neighborhoods/park-place) | 1 | 0.8 | | 28 | [Riverwest](https://littlemilwaukee.com/neighborhoods/riverwest) | 1 | 0.1 | | 28 | [Roosevelt Grove](https://littlemilwaukee.com/neighborhoods/roosevelt-grove) | 1 | 0.2 | | 28 | [Saveland Park](https://littlemilwaukee.com/neighborhoods/saveland-park) | 1 | 0.8 | | 28 | [Sherman Park](https://littlemilwaukee.com/neighborhoods/sherman-park) | 1 | 0.2 | | 28 | [Silver Swan](https://littlemilwaukee.com/neighborhoods/silver-swan) | 1 | 0.3 | | 28 | [Town of Lake](https://littlemilwaukee.com/neighborhoods/town-of-lake) | 1 | 0.2 | | 28 | [Vogel Park](https://littlemilwaukee.com/neighborhoods/vogel-park) | 1 | 0.5 | | 28 | [Washington Park](https://littlemilwaukee.com/neighborhoods/washington-park) | 1 | 0.3 | | 28 | [Wilson Park](https://littlemilwaukee.com/neighborhoods/wilson-park) | 1 | 0.2 | | 28 | [Yankee Hill](https://littlemilwaukee.com/neighborhoods/yankee-hill) | 1 | 0.3 | 118 City neighborhoods aren't in this table: no record in this category is inside their boundary. ## Suburbs | Rank | Neighborhood | Records in the banks category | Per 1,000 residents | | --- | --- | --- | --- | | 1 | [West Allis](https://littlemilwaukee.com/neighborhoods/west-allis) | 19 | 0.3 | | 2 | [Oak Creek](https://littlemilwaukee.com/neighborhoods/oak-creek) | 18 | 0.5 | | 3 | [Wauwatosa](https://littlemilwaukee.com/neighborhoods/wauwatosa) | 15 | 0.3 | | 4 | [Greenfield](https://littlemilwaukee.com/neighborhoods/greenfield) | 13 | 0.3 | | 5 | [Glendale](https://littlemilwaukee.com/neighborhoods/glendale) | 10 | 0.7 | | 6 | [Franklin](https://littlemilwaukee.com/neighborhoods/franklin) | 8 | 0.2 | | 7 | [Greendale](https://littlemilwaukee.com/neighborhoods/greendale) | 7 | 0.5 | | 7 | [West Milwaukee](https://littlemilwaukee.com/neighborhoods/west-milwaukee) | 7 | 1.7 | | 9 | [Cudahy](https://littlemilwaukee.com/neighborhoods/cudahy) | 6 | 0.3 | | 10 | [Brown Deer](https://littlemilwaukee.com/neighborhoods/brown-deer) | 4 | 0.3 | | 10 | [Whitefish Bay](https://littlemilwaukee.com/neighborhoods/whitefish-bay) | 4 | 0.3 | | 12 | [Hales Corners](https://littlemilwaukee.com/neighborhoods/hales-corners) | 3 | 0.4 | | 12 | [Shorewood](https://littlemilwaukee.com/neighborhoods/shorewood) | 3 | 0.2 | | 14 | [Bayside](https://littlemilwaukee.com/neighborhoods/bayside) | 2 | 0.5 | | 14 | [Fox Point](https://littlemilwaukee.com/neighborhoods/fox-point) | 2 | 0.3 | | 14 | [South Milwaukee](https://littlemilwaukee.com/neighborhoods/south-milwaukee) | 2 | 0.1 | | 14 | [St. Francis](https://littlemilwaukee.com/neighborhoods/st-francis) | 2 | 0.2 | ## How it was measured We count the business records we've placed in the banks 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.