Demographics details for South milwaukee, WI vs Wever, IA

Population Overview

Compare main population characteristics in South milwaukee, WI vs Wever, IA.

Data South milwaukee Wever
Population 20,309 305
Median Age 41.6 years 38.0 years
Median Income $68,801 $60,000
Married Families 40.0% 78.0%
Poverty Level 6% 5%
Unemployment Rate 3.9 3.0

Population Comparison: South milwaukee vs Wever

  • In South milwaukee, the population is higher at 20,309, compared to 305 in Wever.
  • Residents in South milwaukee have a higher median age of 41.6 years compared to 38.0 years in Wever.
  • South milwaukee has a higher median income of $68,801 compared to $60,000 in Wever.
  • In Wever, the percentage of married families is higher at 78.0%, compared to 40.0% in South milwaukee.
  • South milwaukee has a higher poverty level at 6% compared to 5% in Wever.
  • The unemployment rate in South milwaukee is higher at 3.9%, compared to 3.0% in Wever.

Demographics

Demographics South milwaukee vs Wever provide insight into the diversity of the communities to compare.

Demographic South milwaukee Wever
Black 2 Data is updating
White 76 100
Asian 1 Data is updating
Hispanic 12 Data is updating
Two or More Races 7 Data is updating
American Indian 2 Data is updating

Demographics Comparison: South milwaukee vs Wever

  • A higher percentage of Black residents are in South milwaukee at 2% compared to 0% in Wever.
  • The percentage of White residents is higher in Wever at 100% compared to 76% in South milwaukee.
  • The Asian population is larger in South milwaukee at 1% compared to 0% in Wever.
  • The Hispanic community is larger in South milwaukee at 12% compared to 0% in Wever.
  • More residents identify as two or more races in South milwaukee at 7% compared to 0% in Wever.
  • A greater percentage of American Indian residents live in South milwaukee at 2% compared to 0% in Wever.

Health Statistics

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

Health Metric South milwaukee Wever
Mental Health Not Good 16.4% Data is updating%
Physical Health Not Good 10.5% Data is updating%
Depression 25.2% Data is updating%
Smoking 18.2% Data is updating%
Binge Drinking 25.7% Data is updating%
Obesity 35.3% Data is updating%
Disability Percentage 15.0% Data is updating%

Health Statistics Comparison: South milwaukee vs Wever

  • More residents in South milwaukee report poor mental health at 16.4% compared to 0.0% in Wever.
  • Depression is more prevalent in South milwaukee at 25.2% compared to 0.0% in Wever.
  • Smoking is more prevalent in South milwaukee at 18.2% compared to 0.0% in Wever.
  • Binge drinking is more common in South milwaukee at 25.7% compared to 0.0% in Wever.
  • Obesity rates are higher in South milwaukee at 35.3% compared to 0.0% in Wever.
  • Disability percentages are higher in South milwaukee at 15.0% compared to 0.0% in Wever.

Education Levels

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

Education Level South milwaukee Wever
No Schooling 0.8% (153) 0.0% (Data is updating)
High School Diploma 24.0% (4,866) 0.0% (Data is updating)
Less than High School 11.3% (2,285) 0.0% (Data is updating)
Bachelor's Degree and Higher 19.5% (3,959) 0.0% (Data is updating)

Education Levels Comparison: South milwaukee vs Wever

  • A higher percentage of residents in South milwaukee have no formal schooling at 0.8% compared to 0.0% in Wever.
  • A higher percentage of residents in South milwaukee hold a high school diploma at 24.0% compared to 0.0% in Wever.
  • More residents in South milwaukee have less than a high school education at 11.3% compared to 0.0% in Wever.
  • A higher percentage of residents in South milwaukee hold a bachelor's degree or higher at 19.5% compared to 0.0% in Wever.

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.