Demographics details for Santa monica, CA vs Sheboygan, WI

Population Overview

Compare main population characteristics in Santa monica, CA vs Sheboygan, WI.

Data Santa monica Sheboygan
Population 89,947 49,773
Median Age 42.1 years 37.0 years
Median Income $106,797 $59,861
Married Families 35.0% 35.0%
Poverty Level 11% 10%
Unemployment Rate 5.8 3.0

Population Comparison: Santa monica vs Sheboygan

  • In Santa monica, the population is higher at 89,947, compared to 49,773 in Sheboygan.
  • Residents in Santa monica have a higher median age of 42.1 years compared to 37.0 years in Sheboygan.
  • Santa monica has a higher median income of $106,797 compared to $59,861 in Sheboygan.
  • The percentage of married families is the same in both Santa monica and Sheboygan at 35.0%.
  • Santa monica has a higher poverty level at 11% compared to 10% in Sheboygan.
  • The unemployment rate in Santa monica is higher at 5.8%, compared to 3.0% in Sheboygan.

Demographics

Demographics Santa monica vs Sheboygan provide insight into the diversity of the communities to compare.

Demographic Santa monica Sheboygan
Black 5 3
White 55 65
Asian 9 12
Hispanic 18 12
Two or More Races 12 8
American Indian 1 Data is updating

Demographics Comparison: Santa monica vs Sheboygan

  • A higher percentage of Black residents are in Santa monica at 5% compared to 3% in Sheboygan.
  • The percentage of White residents is higher in Sheboygan at 65% compared to 55% in Santa monica.
  • In Sheboygan, the Asian population stands at 12%, greater than 9% in Santa monica.
  • The Hispanic community is larger in Santa monica at 18% compared to 12% in Sheboygan.
  • More residents identify as two or more races in Santa monica at 12% compared to 8% in Sheboygan.
  • A greater percentage of American Indian residents live in Santa monica at 1% compared to 0% in Sheboygan.

Health Statistics

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

Health Metric Santa monica Sheboygan
Mental Health Not Good 13.5% 14.6%
Physical Health Not Good 8.1% 9.9%
Depression 16.6% 21.5%
Smoking 7.5% 16.3%
Binge Drinking 17.2% 22.8%
Obesity 24.1% 33.1%
Disability Percentage 9.0% 12.0%

Health Statistics Comparison: Santa monica vs Sheboygan

  • In Sheboygan, a higher percentage report poor mental health at 14.6% compared to 13.5% in Santa monica.
  • Higher depression rates are seen in Sheboygan at 21.5% versus 16.6% in Santa monica.
  • Sheboygan has a higher smoking rate at 16.3% compared to 7.5% in Santa monica.
  • More residents engage in binge drinking in Sheboygan at 22.8% compared to 17.2% in Santa monica.
  • Sheboygan has higher obesity rates at 33.1% compared to 24.1% in Santa monica.
  • There is a higher percentage of disabled individuals in Sheboygan at 12.0% compared to 9.0% in Santa monica.

Education Levels

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

Education Level Santa monica Sheboygan
No Schooling 1.1% (950) 1.5% (745)
High School Diploma 6.2% (5,554) 18.9% (9,403)
Less than High School 7.9% (7,118) 9.9% (4,918)
Bachelor's Degree and Higher 55.4% (49,805) 15.3% (7,616)

Education Levels Comparison: Santa monica vs Sheboygan

  • In Sheboygan, a larger percentage of residents lack formal schooling at 1.5% compared to 1.1% in Santa monica.
  • In Sheboygan, the rate of residents with high school diplomas is higher at 18.9% compared to 6.2% in Santa monica.
  • The percentage of residents with less than a high school education is higher in Sheboygan at 9.9%, compared to 7.9% in Santa monica.
  • A higher percentage of residents in Santa monica hold a bachelor's degree or higher at 55.4% compared to 15.3% in Sheboygan.

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.