Demographics details for Ortonville, MI vs Mount pleasant, SC

Population Overview

Compare main population characteristics in Ortonville, MI vs Mount pleasant, SC.

Data Ortonville Mount pleasant
Population 1,331 94,545
Median Age 42.4 years 42.4 years
Median Income $92,411 $115,167
Married Families 39.0% 47.0%
Poverty Level 7% 5%
Unemployment Rate 4.2 3.2

Population Comparison: Ortonville vs Mount pleasant

  • The population in Mount pleasant is higher at 94,545, compared to 1,331 in Ortonville.
  • The median age is the same in both Ortonville and Mount pleasant at 42.4 years.
  • Mount pleasant has a higher median income of $115,167, compared to $92,411 in Ortonville.
  • In Mount pleasant, the percentage of married families is higher at 47.0%, compared to 39.0% in Ortonville.
  • Ortonville has a higher poverty level at 7% compared to 5% in Mount pleasant.
  • The unemployment rate in Ortonville is higher at 4.2%, compared to 3.2% in Mount pleasant.

Demographics

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

Demographic Ortonville Mount pleasant
Black Data is updating 4
White 88 90
Asian Data is updating 2
Hispanic 6 2
Two or More Races 6 2
American Indian Data is updating Data is updating

Demographics Comparison: Ortonville vs Mount pleasant

  • In Mount pleasant, the percentage of Black residents is higher at 4% compared to 0% in Ortonville.
  • The percentage of White residents is higher in Mount pleasant at 90% compared to 88% in Ortonville.
  • In Mount pleasant, the Asian population stands at 2%, greater than 0% in Ortonville.
  • The Hispanic community is larger in Ortonville at 6% compared to 2% in Mount pleasant.
  • More residents identify as two or more races in Ortonville at 6% compared to 2% in Mount pleasant.
  • The percentage of American Indian residents is the same in both Ortonville and Mount pleasant at 0%.

Health Statistics

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

Health Metric Ortonville Mount pleasant
Mental Health Not Good 17.6% 13.7%
Physical Health Not Good 11.2% 7.6%
Depression 24.2% 19.5%
Smoking 18.3% 9.8%
Binge Drinking 18.4% 25.5%
Obesity 33.3% 26.9%
Disability Percentage 8.0% 6.0%

Health Statistics Comparison: Ortonville vs Mount pleasant

  • More residents in Ortonville report poor mental health at 17.6% compared to 13.7% in Mount pleasant.
  • Depression is more prevalent in Ortonville at 24.2% compared to 19.5% in Mount pleasant.
  • Smoking is more prevalent in Ortonville at 18.3% compared to 9.8% in Mount pleasant.
  • More residents engage in binge drinking in Mount pleasant at 25.5% compared to 18.4% in Ortonville.
  • Obesity rates are higher in Ortonville at 33.3% compared to 26.9% in Mount pleasant.
  • Disability percentages are higher in Ortonville at 8.0% 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 Ortonville Mount pleasant
No Schooling 1.4% (18) 0.3% (259)
High School Diploma 15.2% (202) 5.8% (5,499)
Less than High School 8.9% (118) 2.7% (2,577)
Bachelor's Degree and Higher 16.8% (223) 46.2% (43,679)

Education Levels Comparison: Ortonville vs Mount pleasant

  • A higher percentage of residents in Ortonville have no formal schooling at 1.4% compared to 0.3% in Mount pleasant.
  • A higher percentage of residents in Ortonville hold a high school diploma at 15.2% compared to 5.8% in Mount pleasant.
  • More residents in Ortonville have less than a high school education at 8.9% compared to 2.7% in Mount pleasant.
  • In Mount pleasant, a larger share of residents have a bachelor's degree or higher at 46.2% compared to 16.8% in Ortonville.

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.