Demographics details for Martinsburg, WV vs Mentor, MN

Population Overview

Compare main population characteristics in Martinsburg, WV vs Mentor, MN.

Data Martinsburg Mentor
Population 18,953 105
Median Age 36.4 years 52.5 years
Median Income $55,240 $39,583
Married Families 29.0% 54.0%
Poverty Level 8% Data is updating
Unemployment Rate 4.5 2.5

Population Comparison: Martinsburg vs Mentor

  • In Martinsburg, the population is higher at 18,953, compared to 105 in Mentor.
  • The median age in Mentor is higher at 52.5 years, compared to 36.4 years in Martinsburg.
  • Martinsburg has a higher median income of $55,240 compared to $39,583 in Mentor.
  • In Mentor, the percentage of married families is higher at 54.0%, compared to 29.0% in Martinsburg.
  • Martinsburg has a higher poverty level at 8% compared to 0% in Mentor.
  • The unemployment rate in Martinsburg is higher at 4.5%, compared to 2.5% in Mentor.

Demographics

Demographics Martinsburg vs Mentor provide insight into the diversity of the communities to compare.

Demographic Martinsburg Mentor
Black 13 Data is updating
White 69 100
Asian 1 Data is updating
Hispanic 6 Data is updating
Two or More Races 11 Data is updating
American Indian Data is updating Data is updating

Demographics Comparison: Martinsburg vs Mentor

  • A higher percentage of Black residents are in Martinsburg at 13% compared to 0% in Mentor.
  • The percentage of White residents is higher in Mentor at 100% compared to 69% in Martinsburg.
  • The Asian population is larger in Martinsburg at 1% compared to 0% in Mentor.
  • The Hispanic community is larger in Martinsburg at 6% compared to 0% in Mentor.
  • More residents identify as two or more races in Martinsburg at 11% compared to 0% in Mentor.
  • The percentage of American Indian residents is the same in both Martinsburg and Mentor at 0%.

Health Statistics

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

Health Metric Martinsburg Mentor
Mental Health Not Good 21.8% 15.5%
Physical Health Not Good 15.8% 9.9%
Depression 27.7% 24.4%
Smoking 24.7% 19.6%
Binge Drinking 12.6% 21.8%
Obesity 43.0% 39.7%
Disability Percentage 17.0% 19.0%

Health Statistics Comparison: Martinsburg vs Mentor

  • More residents in Martinsburg report poor mental health at 21.8% compared to 15.5% in Mentor.
  • Depression is more prevalent in Martinsburg at 27.7% compared to 24.4% in Mentor.
  • Smoking is more prevalent in Martinsburg at 24.7% compared to 19.6% in Mentor.
  • More residents engage in binge drinking in Mentor at 21.8% compared to 12.6% in Martinsburg.
  • Obesity rates are higher in Martinsburg at 43.0% compared to 39.7% in Mentor.
  • There is a higher percentage of disabled individuals in Mentor at 19.0% compared to 17.0% in Martinsburg.

Education Levels

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

Education Level Martinsburg Mentor
No Schooling 0.8% (144) 0.0% (Data is updating)
High School Diploma 16.7% (3,171) 43.8% (46)
Less than High School 13.5% (2,556) 30.5% (32)
Bachelor's Degree and Higher 16.2% (3,077) 6.7% (7)

Education Levels Comparison: Martinsburg vs Mentor

  • A higher percentage of residents in Martinsburg have no formal schooling at 0.8% compared to 0.0% in Mentor.
  • In Mentor, the rate of residents with high school diplomas is higher at 43.8% compared to 16.7% in Martinsburg.
  • The percentage of residents with less than a high school education is higher in Mentor at 30.5%, compared to 13.5% in Martinsburg.
  • A higher percentage of residents in Martinsburg hold a bachelor's degree or higher at 16.2% compared to 6.7% in Mentor.

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.