Demographics details for Mountain grove, MO vs Burkesville, KY

Population Overview

Compare main population characteristics in Mountain grove, MO vs Burkesville, KY.

Data Mountain grove Burkesville
Population 4,551 1,380
Median Age 42.3 years 51.6 years
Median Income $38,103 $26,563
Married Families 35.0% 29.0%
Poverty Level 15% 14%
Unemployment Rate 4.5 3.5

Population Comparison: Mountain grove vs Burkesville

  • In Mountain grove, the population is higher at 4,551, compared to 1,380 in Burkesville.
  • The median age in Burkesville is higher at 51.6 years, compared to 42.3 years in Mountain grove.
  • Mountain grove has a higher median income of $38,103 compared to $26,563 in Burkesville.
  • A higher percentage of married families is found in Mountain grove at 35.0% compared to 29.0% in Burkesville.
  • Mountain grove has a higher poverty level at 15% compared to 14% in Burkesville.
  • The unemployment rate in Mountain grove is higher at 4.5%, compared to 3.5% in Burkesville.

Demographics

Demographics Mountain grove vs Burkesville provide insight into the diversity of the communities to compare.

Demographic Mountain grove Burkesville
Black Data is updating 11
White 89 83
Asian 1 1
Hispanic 2 3
Two or More Races 8 2
American Indian Data is updating Data is updating

Demographics Comparison: Mountain grove vs Burkesville

  • In Burkesville, the percentage of Black residents is higher at 11% compared to 0% in Mountain grove.
  • Mountain grove has a higher percentage of White residents at 89% compared to 83% in Burkesville.
  • Both Mountain grove and Burkesville have the same percentage of Asian residents at 1%.
  • Burkesville has a higher percentage of Hispanic residents at 3%, compared to 2% in Mountain grove.
  • More residents identify as two or more races in Mountain grove at 8% compared to 2% in Burkesville.
  • The percentage of American Indian residents is the same in both Mountain grove and Burkesville at 0%.

Health Statistics

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

Health Metric Mountain grove Burkesville
Mental Health Not Good 22.5% 21.8%
Physical Health Not Good 18.1% 16.8%
Depression 28.4% 29.6%
Smoking 31.2% 27.1%
Binge Drinking 14.8% 13.7%
Obesity 44.6% 43.9%
Disability Percentage 24.0% 28.0%

Health Statistics Comparison: Mountain grove vs Burkesville

  • More residents in Mountain grove report poor mental health at 22.5% compared to 21.8% in Burkesville.
  • Higher depression rates are seen in Burkesville at 29.6% versus 28.4% in Mountain grove.
  • Smoking is more prevalent in Mountain grove at 31.2% compared to 27.1% in Burkesville.
  • Binge drinking is more common in Mountain grove at 14.8% compared to 13.7% in Burkesville.
  • Obesity rates are higher in Mountain grove at 44.6% compared to 43.9% in Burkesville.
  • There is a higher percentage of disabled individuals in Burkesville at 28.0% compared to 24.0% in Mountain grove.

Education Levels

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

Education Level Mountain grove Burkesville
No Schooling 0.6% (26) 0.6% (8)
High School Diploma 27.6% (1,256) 32.7% (451)
Less than High School 23.2% (1,057) 35.8% (494)
Bachelor's Degree and Higher 8.8% (400) 5.2% (72)

Education Levels Comparison: Mountain grove vs Burkesville

  • The percentage of residents with no formal schooling is the same in both Mountain grove and Burkesville at 0.6%.
  • In Burkesville, the rate of residents with high school diplomas is higher at 32.7% compared to 27.6% in Mountain grove.
  • The percentage of residents with less than a high school education is higher in Burkesville at 35.8%, compared to 23.2% in Mountain grove.
  • A higher percentage of residents in Mountain grove hold a bachelor's degree or higher at 8.8% compared to 5.2% in Burkesville.

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.