Demographics details for Mount pleasant, SC vs Willshire, OH

Population Overview

Compare main population characteristics in Mount pleasant, SC vs Willshire, OH.

Data Mount pleasant Willshire
Population 94,545 400
Median Age 42.4 years 44.3 years
Median Income $115,167 $52,500
Married Families 47.0% 39.0%
Poverty Level 5% 9%
Unemployment Rate 3.2 3.5

Population Comparison: Mount pleasant vs Willshire

  • In Mount pleasant, the population is higher at 94,545, compared to 400 in Willshire.
  • The median age in Willshire is higher at 44.3 years, compared to 42.4 years in Mount pleasant.
  • Mount pleasant has a higher median income of $115,167 compared to $52,500 in Willshire.
  • A higher percentage of married families is found in Mount pleasant at 47.0% compared to 39.0% in Willshire.
  • The poverty level is higher in Willshire at 9%, compared to 5% in Mount pleasant.
  • Willshire has a higher unemployment rate at 3.5% compared to 3.2% in Mount pleasant.

Demographics

Demographics Mount pleasant vs Willshire provide insight into the diversity of the communities to compare.

Demographic Mount pleasant Willshire
Black 4 1
White 90 92
Asian 2 1
Hispanic 2 2
Two or More Races 2 4
American Indian Data is updating Data is updating

Demographics Comparison: Mount pleasant vs Willshire

  • A higher percentage of Black residents are in Mount pleasant at 4% compared to 1% in Willshire.
  • The percentage of White residents is higher in Willshire at 92% compared to 90% in Mount pleasant.
  • The Asian population is larger in Mount pleasant at 2% compared to 1% in Willshire.
  • The percentage of Hispanic residents is the same in both Mount pleasant and Willshire at 2%.
  • The percentage of residents identifying as two or more races is higher in Willshire at 4%, compared to 2% in Mount pleasant.
  • The percentage of American Indian residents is the same in both Mount pleasant and Willshire at 0%.

Health Statistics

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

Health Metric Mount pleasant Willshire
Mental Health Not Good 13.7% 17.6%
Physical Health Not Good 7.6% 11.7%
Depression 19.5% 23.9%
Smoking 9.8% 21.2%
Binge Drinking 25.5% 18.8%
Obesity 26.9% 42.9%
Disability Percentage 6.0% 19.0%

Health Statistics Comparison: Mount pleasant vs Willshire

  • In Willshire, a higher percentage report poor mental health at 17.6% compared to 13.7% in Mount pleasant.
  • Higher depression rates are seen in Willshire at 23.9% versus 19.5% in Mount pleasant.
  • Willshire has a higher smoking rate at 21.2% compared to 9.8% in Mount pleasant.
  • Binge drinking is more common in Mount pleasant at 25.5% compared to 18.8% in Willshire.
  • Willshire has higher obesity rates at 42.9% compared to 26.9% in Mount pleasant.
  • There is a higher percentage of disabled individuals in Willshire at 19.0% compared to 6.0% in Mount pleasant.

Education Levels

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

Education Level Mount pleasant Willshire
No Schooling 0.3% (259) 0.5% (2)
High School Diploma 5.8% (5,499) 30.2% (121)
Less than High School 2.7% (2,577) 15.0% (60)
Bachelor's Degree and Higher 46.2% (43,679) 6.2% (25)

Education Levels Comparison: Mount pleasant vs Willshire

  • In Willshire, a larger percentage of residents lack formal schooling at 0.5% compared to 0.3% in Mount pleasant.
  • In Willshire, the rate of residents with high school diplomas is higher at 30.2% compared to 5.8% in Mount pleasant.
  • The percentage of residents with less than a high school education is higher in Willshire at 15.0%, compared to 2.7% in Mount pleasant.
  • A higher percentage of residents in Mount pleasant hold a bachelor's degree or higher at 46.2% compared to 6.2% in Willshire.

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.