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.