Demographics details for Charlotte, TN vs Mountain grove, MO

Population Overview

Compare main population characteristics in Charlotte, TN vs Mountain grove, MO.

Data Charlotte Mountain grove
Population 1,674 4,551
Median Age 36.8 years 42.3 years
Median Income $57,188 $38,103
Married Families 46.0% 35.0%
Poverty Level 14% 15%
Unemployment Rate 4.3 4.5

Population Comparison: Charlotte vs Mountain grove

  • The population in Mountain grove is higher at 4,551, compared to 1,674 in Charlotte.
  • The median age in Mountain grove is higher at 42.3 years, compared to 36.8 years in Charlotte.
  • Charlotte has a higher median income of $57,188 compared to $38,103 in Mountain grove.
  • A higher percentage of married families is found in Charlotte at 46.0% compared to 35.0% in Mountain grove.
  • The poverty level is higher in Mountain grove at 15%, compared to 14% in Charlotte.
  • Mountain grove has a higher unemployment rate at 4.5% compared to 4.3% in Charlotte.

Demographics

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

Demographic Charlotte Mountain grove
Black 6 Data is updating
White 82 89
Asian Data is updating 1
Hispanic 4 2
Two or More Races 6 8
American Indian 2 Data is updating

Demographics Comparison: Charlotte vs Mountain grove

  • A higher percentage of Black residents are in Charlotte at 6% compared to 0% in Mountain grove.
  • The percentage of White residents is higher in Mountain grove at 89% compared to 82% in Charlotte.
  • In Mountain grove, the Asian population stands at 1%, greater than 0% in Charlotte.
  • The Hispanic community is larger in Charlotte at 4% compared to 2% in Mountain grove.
  • The percentage of residents identifying as two or more races is higher in Mountain grove at 8%, compared to 6% in Charlotte.
  • A greater percentage of American Indian residents live in Charlotte at 2% compared to 0% in Mountain grove.

Health Statistics

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

Health Metric Charlotte Mountain grove
Mental Health Not Good 20.3% 22.5%
Physical Health Not Good 14.7% 18.1%
Depression 28.8% 28.4%
Smoking 25.3% 31.2%
Binge Drinking 16.0% 14.8%
Obesity 38.9% 44.6%
Disability Percentage 27.0% 24.0%

Health Statistics Comparison: Charlotte vs Mountain grove

  • In Mountain grove, a higher percentage report poor mental health at 22.5% compared to 20.3% in Charlotte.
  • Depression is more prevalent in Charlotte at 28.8% compared to 28.4% in Mountain grove.
  • Mountain grove has a higher smoking rate at 31.2% compared to 25.3% in Charlotte.
  • Binge drinking is more common in Charlotte at 16.0% compared to 14.8% in Mountain grove.
  • Mountain grove has higher obesity rates at 44.6% compared to 38.9% in Charlotte.
  • Disability percentages are higher in Charlotte at 27.0% 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 Charlotte Mountain grove
No Schooling 0.4% (6) 0.6% (26)
High School Diploma 25.3% (424) 27.6% (1,256)
Less than High School 26.0% (436) 23.2% (1,057)
Bachelor's Degree and Higher 9.9% (166) 8.8% (400)

Education Levels Comparison: Charlotte vs Mountain grove

  • In Mountain grove, a larger percentage of residents lack formal schooling at 0.6% compared to 0.4% in Charlotte.
  • In Mountain grove, the rate of residents with high school diplomas is higher at 27.6% compared to 25.3% in Charlotte.
  • More residents in Charlotte have less than a high school education at 26.0% compared to 23.2% in Mountain grove.
  • A higher percentage of residents in Charlotte hold a bachelor's degree or higher at 9.9% compared to 8.8% in Mountain grove.

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.