Demographics details for South milwaukee, WI vs West islip, NY

Population Overview

Compare main population characteristics in South milwaukee, WI vs West islip, NY.

Data South milwaukee West islip
Population 20,309 27,192
Median Age 41.6 years 40.5 years
Median Income $68,801 $161,792
Married Families 40.0% 47.0%
Poverty Level 6% 5%
Unemployment Rate 3.9 3.5

Population Comparison: South milwaukee vs West islip

  • The population in West islip is higher at 27,192, compared to 20,309 in South milwaukee.
  • Residents in South milwaukee have a higher median age of 41.6 years compared to 40.5 years in West islip.
  • West islip has a higher median income of $161,792, compared to $68,801 in South milwaukee.
  • In West islip, the percentage of married families is higher at 47.0%, compared to 40.0% in South milwaukee.
  • South milwaukee has a higher poverty level at 6% compared to 5% in West islip.
  • The unemployment rate in South milwaukee is higher at 3.9%, compared to 3.5% in West islip.

Demographics

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

Demographic South milwaukee West islip
Black 2 1
White 76 79
Asian 1 2
Hispanic 12 10
Two or More Races 7 8
American Indian 2 Data is updating

Demographics Comparison: South milwaukee vs West islip

  • A higher percentage of Black residents are in South milwaukee at 2% compared to 1% in West islip.
  • The percentage of White residents is higher in West islip at 79% compared to 76% in South milwaukee.
  • In West islip, the Asian population stands at 2%, greater than 1% in South milwaukee.
  • The Hispanic community is larger in South milwaukee at 12% compared to 10% in West islip.
  • The percentage of residents identifying as two or more races is higher in West islip at 8%, compared to 7% in South milwaukee.
  • A greater percentage of American Indian residents live in South milwaukee at 2% compared to 0% in West islip.

Health Statistics

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

Health Metric South milwaukee West islip
Mental Health Not Good 16.4% 14.1%
Physical Health Not Good 10.5% 8.0%
Depression 25.2% 20.3%
Smoking 18.2% 12.1%
Binge Drinking 25.7% 17.8%
Obesity 35.3% 27.8%
Disability Percentage 15.0% 7.0%

Health Statistics Comparison: South milwaukee vs West islip

  • More residents in South milwaukee report poor mental health at 16.4% compared to 14.1% in West islip.
  • Depression is more prevalent in South milwaukee at 25.2% compared to 20.3% in West islip.
  • Smoking is more prevalent in South milwaukee at 18.2% compared to 12.1% in West islip.
  • Binge drinking is more common in South milwaukee at 25.7% compared to 17.8% in West islip.
  • Obesity rates are higher in South milwaukee at 35.3% compared to 27.8% in West islip.
  • Disability percentages are higher in South milwaukee at 15.0% compared to 7.0% in West islip.

Education Levels

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

Education Level South milwaukee West islip
No Schooling 0.8% (153) 0.8% (227)
High School Diploma 24.0% (4,866) 14.0% (3,820)
Less than High School 11.3% (2,285) 5.2% (1,423)
Bachelor's Degree and Higher 19.5% (3,959) 31.9% (8,673)

Education Levels Comparison: South milwaukee vs West islip

  • The percentage of residents with no formal schooling is the same in both South milwaukee and West islip at 0.8%.
  • A higher percentage of residents in South milwaukee hold a high school diploma at 24.0% compared to 14.0% in West islip.
  • More residents in South milwaukee have less than a high school education at 11.3% compared to 5.2% in West islip.
  • In West islip, a larger share of residents have a bachelor's degree or higher at 31.9% compared to 19.5% in South milwaukee.

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.