Demographics details for Mount pleasant, SC vs Mount vernon, VA

Population Overview

Compare main population characteristics in Mount pleasant, SC vs Mount vernon, VA.

Data Mount pleasant Mount vernon
Population 94,545 13,299
Median Age 42.4 years 43.4 years
Median Income $115,167 $160,096
Married Families 47.0% 48.0%
Poverty Level 5% Data is updating
Unemployment Rate 3.2 3.2

Population Comparison: Mount pleasant vs Mount vernon

  • In Mount pleasant, the population is higher at 94,545, compared to 13,299 in Mount vernon.
  • The median age in Mount vernon is higher at 43.4 years, compared to 42.4 years in Mount pleasant.
  • Mount vernon has a higher median income of $160,096, compared to $115,167 in Mount pleasant.
  • In Mount vernon, the percentage of married families is higher at 48.0%, compared to 47.0% in Mount pleasant.
  • Mount pleasant has a higher poverty level at 5% compared to 0% in Mount vernon.
  • The unemployment rate is the same in both Mount pleasant and Mount vernon at 3.2%.

Demographics

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

Demographic Mount pleasant Mount vernon
Black 4 15
White 90 48
Asian 2 7
Hispanic 2 18
Two or More Races 2 12
American Indian Data is updating Data is updating

Demographics Comparison: Mount pleasant vs Mount vernon

  • In Mount vernon, the percentage of Black residents is higher at 15% compared to 4% in Mount pleasant.
  • Mount pleasant has a higher percentage of White residents at 90% compared to 48% in Mount vernon.
  • In Mount vernon, the Asian population stands at 7%, greater than 2% in Mount pleasant.
  • Mount vernon has a higher percentage of Hispanic residents at 18%, compared to 2% in Mount pleasant.
  • The percentage of residents identifying as two or more races is higher in Mount vernon at 12%, compared to 2% in Mount pleasant.
  • The percentage of American Indian residents is the same in both Mount pleasant and Mount vernon at 0%.

Health Statistics

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

Health Metric Mount pleasant Mount vernon
Mental Health Not Good 13.7% 12.7%
Physical Health Not Good 7.6% 7.7%
Depression 19.5% 17.4%
Smoking 9.8% 8.9%
Binge Drinking 25.5% 15.9%
Obesity 26.9% 26.8%
Disability Percentage 6.0% 9.0%

Health Statistics Comparison: Mount pleasant vs Mount vernon

  • More residents in Mount pleasant report poor mental health at 13.7% compared to 12.7% in Mount vernon.
  • Depression is more prevalent in Mount pleasant at 19.5% compared to 17.4% in Mount vernon.
  • Smoking is more prevalent in Mount pleasant at 9.8% compared to 8.9% in Mount vernon.
  • Binge drinking is more common in Mount pleasant at 25.5% compared to 15.9% in Mount vernon.
  • Obesity rates are higher in Mount pleasant at 26.9% compared to 26.8% in Mount vernon.
  • There is a higher percentage of disabled individuals in Mount vernon at 9.0% 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 Mount vernon
No Schooling 0.3% (259) 0.5% (63)
High School Diploma 5.8% (5,499) 9.4% (1,244)
Less than High School 2.7% (2,577) 4.0% (536)
Bachelor's Degree and Higher 46.2% (43,679) 45.0% (5,987)

Education Levels Comparison: Mount pleasant vs Mount vernon

  • In Mount vernon, a larger percentage of residents lack formal schooling at 0.5% compared to 0.3% in Mount pleasant.
  • In Mount vernon, the rate of residents with high school diplomas is higher at 9.4% compared to 5.8% in Mount pleasant.
  • The percentage of residents with less than a high school education is higher in Mount vernon at 4.0%, 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 45.0% in Mount vernon.

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.