Demographics details for Marysville, KS vs Wilmington, NC

Population Overview

Compare main population characteristics in Marysville, KS vs Wilmington, NC.

Data Marysville Wilmington
Population 3,423 120,324
Median Age 38.8 years 37.6 years
Median Income $53,424 $58,908
Married Families 38.0% 32.0%
Poverty Level Data is updating 12%
Unemployment Rate 3.5 3.7

Population Comparison: Marysville vs Wilmington

  • The population in Wilmington is higher at 120,324, compared to 3,423 in Marysville.
  • Residents in Marysville have a higher median age of 38.8 years compared to 37.6 years in Wilmington.
  • Wilmington has a higher median income of $58,908, compared to $53,424 in Marysville.
  • A higher percentage of married families is found in Marysville at 38.0% compared to 32.0% in Wilmington.
  • The poverty level is higher in Wilmington at 12%, compared to 0% in Marysville.
  • Wilmington has a higher unemployment rate at 3.7% compared to 3.5% in Marysville.

Demographics

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

Demographic Marysville Wilmington
Black 2 16
White 86 71
Asian 1 1
Hispanic 5 7
Two or More Races 6 5
American Indian Data is updating Data is updating

Demographics Comparison: Marysville vs Wilmington

  • In Wilmington, the percentage of Black residents is higher at 16% compared to 2% in Marysville.
  • Marysville has a higher percentage of White residents at 86% compared to 71% in Wilmington.
  • Both Marysville and Wilmington have the same percentage of Asian residents at 1%.
  • Wilmington has a higher percentage of Hispanic residents at 7%, compared to 5% in Marysville.
  • More residents identify as two or more races in Marysville at 6% compared to 5% in Wilmington.
  • The percentage of American Indian residents is the same in both Marysville and Wilmington at 0%.

Health Statistics

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

Health Metric Marysville Wilmington
Mental Health Not Good 16.7% 16.9%
Physical Health Not Good 11.0% 11.0%
Depression 20.6% 25.0%
Smoking 19.9% 16.5%
Binge Drinking 20.1% 18.5%
Obesity 40.6% 33.2%
Disability Percentage 16.0% 12.0%

Health Statistics Comparison: Marysville vs Wilmington

  • In Wilmington, a higher percentage report poor mental health at 16.9% compared to 16.7% in Marysville.
  • Higher depression rates are seen in Wilmington at 25.0% versus 20.6% in Marysville.
  • Smoking is more prevalent in Marysville at 19.9% compared to 16.5% in Wilmington.
  • Binge drinking is more common in Marysville at 20.1% compared to 18.5% in Wilmington.
  • Obesity rates are higher in Marysville at 40.6% compared to 33.2% in Wilmington.
  • Disability percentages are higher in Marysville at 16.0% 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 Marysville Wilmington
No Schooling 0.2% (8) 0.5% (560)
High School Diploma 20.5% (701) 10.5% (12,679)
Less than High School 12.0% (410) 7.1% (8,513)
Bachelor's Degree and Higher 19.7% (674) 28.5% (34,319)

Education Levels Comparison: Marysville vs Wilmington

  • In Wilmington, a larger percentage of residents lack formal schooling at 0.5% compared to 0.2% in Marysville.
  • A higher percentage of residents in Marysville hold a high school diploma at 20.5% compared to 10.5% in Wilmington.
  • More residents in Marysville have less than a high school education at 12.0% compared to 7.1% in Wilmington.
  • In Wilmington, a larger share of residents have a bachelor's degree or higher at 28.5% compared to 19.7% in Marysville.

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.