Demographics details for Wilmington, NC vs Mount vernon, KY

Population Overview

Compare main population characteristics in Wilmington, NC vs Mount vernon, KY.

Data Wilmington Mount vernon
Population 120,324 2,472
Median Age 37.6 years 45.4 years
Median Income $58,908 $34,550
Married Families 32.0% 36.0%
Poverty Level 12% 15%
Unemployment Rate 3.7 4.2

Population Comparison: Wilmington vs Mount vernon

  • In Wilmington, the population is higher at 120,324, compared to 2,472 in Mount vernon.
  • The median age in Mount vernon is higher at 45.4 years, compared to 37.6 years in Wilmington.
  • Wilmington has a higher median income of $58,908 compared to $34,550 in Mount vernon.
  • In Mount vernon, the percentage of married families is higher at 36.0%, compared to 32.0% in Wilmington.
  • The poverty level is higher in Mount vernon at 15%, compared to 12% in Wilmington.
  • Mount vernon has a higher unemployment rate at 4.2% compared to 3.7% in Wilmington.

Demographics

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

Demographic Wilmington Mount vernon
Black 16 Data is updating
White 71 94
Asian 1 Data is updating
Hispanic 7 Data is updating
Two or More Races 5 6
American Indian Data is updating Data is updating

Demographics Comparison: Wilmington vs Mount vernon

  • A higher percentage of Black residents are in Wilmington at 16% compared to 0% in Mount vernon.
  • The percentage of White residents is higher in Mount vernon at 94% compared to 71% in Wilmington.
  • The Asian population is larger in Wilmington at 1% compared to 0% in Mount vernon.
  • The Hispanic community is larger in Wilmington at 7% compared to 0% in Mount vernon.
  • The percentage of residents identifying as two or more races is higher in Mount vernon at 6%, compared to 5% in Wilmington.
  • The percentage of American Indian residents is the same in both Wilmington and Mount vernon at 0%.

Health Statistics

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

Health Metric Wilmington Mount vernon
Mental Health Not Good 16.9% 21.3%
Physical Health Not Good 11.0% 16.3%
Depression 25.0% 30.7%
Smoking 16.5% 26.1%
Binge Drinking 18.5% 14.3%
Obesity 33.2% 43.2%
Disability Percentage 12.0% 23.0%

Health Statistics Comparison: Wilmington vs Mount vernon

  • In Mount vernon, a higher percentage report poor mental health at 21.3% compared to 16.9% in Wilmington.
  • Higher depression rates are seen in Mount vernon at 30.7% versus 25.0% in Wilmington.
  • Mount vernon has a higher smoking rate at 26.1% compared to 16.5% in Wilmington.
  • Binge drinking is more common in Wilmington at 18.5% compared to 14.3% in Mount vernon.
  • Mount vernon has higher obesity rates at 43.2% compared to 33.2% in Wilmington.
  • There is a higher percentage of disabled individuals in Mount vernon at 23.0% compared to 12.0% in Wilmington.

Education Levels

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

Education Level Wilmington Mount vernon
No Schooling 0.5% (560) 0.5% (12)
High School Diploma 10.5% (12,679) 17.4% (431)
Less than High School 7.1% (8,513) 32.8% (810)
Bachelor's Degree and Higher 28.5% (34,319) 7.4% (183)

Education Levels Comparison: Wilmington vs Mount vernon

  • The percentage of residents with no formal schooling is the same in both Wilmington and Mount vernon at 0.5%.
  • In Mount vernon, the rate of residents with high school diplomas is higher at 17.4% compared to 10.5% in Wilmington.
  • The percentage of residents with less than a high school education is higher in Mount vernon at 32.8%, compared to 7.1% in Wilmington.
  • A higher percentage of residents in Wilmington hold a bachelor's degree or higher at 28.5% compared to 7.4% 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.