Demographics details for Ranger, GA vs Mountain grove, MO

Population Overview

Compare main population characteristics in Ranger, GA vs Mountain grove, MO.

Data Ranger Mountain grove
Population 106 4,551
Median Age 49.2 years 42.3 years
Median Income $29,219 $38,103
Married Families 22.0% 35.0%
Poverty Level 14% 15%
Unemployment Rate 4.5 4.5

Population Comparison: Ranger vs Mountain grove

  • The population in Mountain grove is higher at 4,551, compared to 106 in Ranger.
  • Residents in Ranger have a higher median age of 49.2 years compared to 42.3 years in Mountain grove.
  • Mountain grove has a higher median income of $38,103, compared to $29,219 in Ranger.
  • In Mountain grove, the percentage of married families is higher at 35.0%, compared to 22.0% in Ranger.
  • The poverty level is higher in Mountain grove at 15%, compared to 14% in Ranger.
  • The unemployment rate is the same in both Ranger and Mountain grove at 4.5%.

Demographics

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

Demographic Ranger Mountain grove
Black Data is updating Data is updating
White 97 89
Asian Data is updating 1
Hispanic Data is updating 2
Two or More Races 3 8
American Indian Data is updating Data is updating

Demographics Comparison: Ranger vs Mountain grove

  • The percentage of Black residents is the same in both Ranger and Mountain grove at 0%.
  • Ranger has a higher percentage of White residents at 97% compared to 89% in Mountain grove.
  • In Mountain grove, the Asian population stands at 1%, greater than 0% in Ranger.
  • Mountain grove has a higher percentage of Hispanic residents at 2%, compared to 0% in Ranger.
  • The percentage of residents identifying as two or more races is higher in Mountain grove at 8%, compared to 3% in Ranger.
  • The percentage of American Indian residents is the same in both Ranger and Mountain grove at 0%.

Health Statistics

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

Health Metric Ranger Mountain grove
Mental Health Not Good 17.5% 22.5%
Physical Health Not Good 12.8% 18.1%
Depression 23.4% 28.4%
Smoking 19.8% 31.2%
Binge Drinking 17.2% 14.8%
Obesity 34.7% 44.6%
Disability Percentage 5.0% 24.0%

Health Statistics Comparison: Ranger vs Mountain grove

  • In Mountain grove, a higher percentage report poor mental health at 22.5% compared to 17.5% in Ranger.
  • Higher depression rates are seen in Mountain grove at 28.4% versus 23.4% in Ranger.
  • Mountain grove has a higher smoking rate at 31.2% compared to 19.8% in Ranger.
  • Binge drinking is more common in Ranger at 17.2% compared to 14.8% in Mountain grove.
  • Mountain grove has higher obesity rates at 44.6% compared to 34.7% in Ranger.
  • There is a higher percentage of disabled individuals in Mountain grove at 24.0% compared to 5.0% in Ranger.

Education Levels

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

Education Level Ranger Mountain grove
No Schooling 0.9% (1) 0.6% (26)
High School Diploma 29.2% (31) 27.6% (1,256)
Less than High School 7.5% (8) 23.2% (1,057)
Bachelor's Degree and Higher 3.8% (4) 8.8% (400)

Education Levels Comparison: Ranger vs Mountain grove

  • A higher percentage of residents in Ranger have no formal schooling at 0.9% compared to 0.6% in Mountain grove.
  • A higher percentage of residents in Ranger hold a high school diploma at 29.2% compared to 27.6% in Mountain grove.
  • The percentage of residents with less than a high school education is higher in Mountain grove at 23.2%, compared to 7.5% in Ranger.
  • In Mountain grove, a larger share of residents have a bachelor's degree or higher at 8.8% compared to 3.8% in Ranger.

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.