Demographics details for Milwaukee, WI vs Susanville, CA

Population Overview

Compare main population characteristics in Milwaukee, WI vs Susanville, CA.

Data Milwaukee Susanville
Population 563,305 13,707
Median Age 31.8 years 33.7 years
Median Income $49,733 $52,997
Married Families 23.0% 33.0%
Poverty Level 18% 13%
Unemployment Rate 4.8 7.0

Population Comparison: Milwaukee vs Susanville

  • In Milwaukee, the population is higher at 563,305, compared to 13,707 in Susanville.
  • The median age in Susanville is higher at 33.7 years, compared to 31.8 years in Milwaukee.
  • Susanville has a higher median income of $52,997, compared to $49,733 in Milwaukee.
  • In Susanville, the percentage of married families is higher at 33.0%, compared to 23.0% in Milwaukee.
  • Milwaukee has a higher poverty level at 18% compared to 13% in Susanville.
  • Susanville has a higher unemployment rate at 7.0% compared to 4.8% in Milwaukee.

Demographics

Demographics Milwaukee vs Susanville provide insight into the diversity of the communities to compare.

Demographic Milwaukee Susanville
Black 39 16
White 24 29
Asian 5 2
Hispanic 21 33
Two or More Races 10 17
American Indian 1 3

Demographics Comparison: Milwaukee vs Susanville

  • A higher percentage of Black residents are in Milwaukee at 39% compared to 16% in Susanville.
  • The percentage of White residents is higher in Susanville at 29% compared to 24% in Milwaukee.
  • The Asian population is larger in Milwaukee at 5% compared to 2% in Susanville.
  • Susanville has a higher percentage of Hispanic residents at 33%, compared to 21% in Milwaukee.
  • The percentage of residents identifying as two or more races is higher in Susanville at 17%, compared to 10% in Milwaukee.
  • In Susanville, the percentage of American Indian residents is higher at 3%, compared to 1% in Milwaukee.

Health Statistics

The health statistics provide insights into prevalent health conditions in two communities.

Health Metric Milwaukee Susanville
Mental Health Not Good 17.5% 16.9%
Physical Health Not Good 12.7% 13.1%
Depression 22.9% 18.1%
Smoking 21.0% 17.9%
Binge Drinking 21.3% 18.5%
Obesity 41.6% 32.9%
Disability Percentage 13.0% 8.0%

Health Statistics Comparison: Milwaukee vs Susanville

  • More residents in Milwaukee report poor mental health at 17.5% compared to 16.9% in Susanville.
  • Depression is more prevalent in Milwaukee at 22.9% compared to 18.1% in Susanville.
  • Smoking is more prevalent in Milwaukee at 21.0% compared to 17.9% in Susanville.
  • Binge drinking is more common in Milwaukee at 21.3% compared to 18.5% in Susanville.
  • Obesity rates are higher in Milwaukee at 41.6% compared to 32.9% in Susanville.
  • Disability percentages are higher in Milwaukee at 13.0% compared to 8.0% in Susanville.

Education Levels

The educational attainment in the area helps gauge the workforce's skill level and economic potential.

Education Level Milwaukee Susanville
No Schooling 1.3% (7,509) 1.2% (170)
High School Diploma 16.7% (93,798) 19.1% (2,613)
Less than High School 14.4% (81,002) 39.3% (5,387)
Bachelor's Degree and Higher 16.6% (93,378) 7.0% (962)

Education Levels Comparison: Milwaukee vs Susanville

  • A higher percentage of residents in Milwaukee have no formal schooling at 1.3% compared to 1.2% in Susanville.
  • In Susanville, the rate of residents with high school diplomas is higher at 19.1% compared to 16.7% in Milwaukee.
  • The percentage of residents with less than a high school education is higher in Susanville at 39.3%, compared to 14.4% in Milwaukee.
  • A higher percentage of residents in Milwaukee hold a bachelor's degree or higher at 16.6% compared to 7.0% in Susanville.

Crime and Safety

Understanding crime rates and safety measures is crucial for assessing the livability of a city or town. Crime levels can vary significantly from one neighborhood to another, influenced by various factors such as population density and local amenities. For instance, areas with high foot traffic, like train stations, might experience different crime dynamics compared to quieter residential neighborhoods. Evaluating these patterns helps in making informed decisions about safety and community well-being.