Demographics details for Mountain grove, MO vs Star, NC
Population Overview
Compare main population characteristics in Mountain grove, MO vs Star, NC.
| Data | Mountain grove | Star |
|---|---|---|
| Population | 4,551 | 809 |
| Median Age | 42.3 years | 47.6 years |
| Median Income | $38,103 | $35,750 |
| Married Families | 35.0% | 50.0% |
| Poverty Level | 15% | 12% |
| Unemployment Rate | 4.5 | 5.0 |
Population Comparison: Mountain grove vs Star
- In Mountain grove, the population is higher at 4,551, compared to 809 in Star.
- The median age in Star is higher at 47.6 years, compared to 42.3 years in Mountain grove.
- Mountain grove has a higher median income of $38,103 compared to $35,750 in Star.
- In Star, the percentage of married families is higher at 50.0%, compared to 35.0% in Mountain grove.
- Mountain grove has a higher poverty level at 15% compared to 12% in Star.
- Star has a higher unemployment rate at 5.0% compared to 4.5% in Mountain grove.
Demographics
Demographics Mountain grove vs Star provide insight into the diversity of the communities to compare.
| Demographic | Mountain grove | Star |
|---|---|---|
| Black | Data is updating | 50 |
| White | 89 | 19 |
| Asian | 1 | 1 |
| Hispanic | 2 | 29 |
| Two or More Races | 8 | 1 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Mountain grove vs Star
- In Star, the percentage of Black residents is higher at 50% compared to 0% in Mountain grove.
- Mountain grove has a higher percentage of White residents at 89% compared to 19% in Star.
- Both Mountain grove and Star have the same percentage of Asian residents at 1%.
- Star has a higher percentage of Hispanic residents at 29%, compared to 2% in Mountain grove.
- More residents identify as two or more races in Mountain grove at 8% compared to 1% in Star.
- The percentage of American Indian residents is the same in both Mountain grove and Star at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Mountain grove | Star |
|---|---|---|
| Mental Health Not Good | 22.5% | 17.9% |
| Physical Health Not Good | 18.1% | 13.4% |
| Depression | 28.4% | 25.0% |
| Smoking | 31.2% | 20.7% |
| Binge Drinking | 14.8% | 16.4% |
| Obesity | 44.6% | 36.6% |
| Disability Percentage | 24.0% | 68.0% |
Health Statistics Comparison: Mountain grove vs Star
- More residents in Mountain grove report poor mental health at 22.5% compared to 17.9% in Star.
- Depression is more prevalent in Mountain grove at 28.4% compared to 25.0% in Star.
- Smoking is more prevalent in Mountain grove at 31.2% compared to 20.7% in Star.
- More residents engage in binge drinking in Star at 16.4% compared to 14.8% in Mountain grove.
- Obesity rates are higher in Mountain grove at 44.6% compared to 36.6% in Star.
- There is a higher percentage of disabled individuals in Star at 68.0% 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 | Star |
|---|---|---|
| No Schooling | 0.6% (26) | 0.7% (6) |
| High School Diploma | 27.6% (1,256) | 20.9% (169) |
| Less than High School | 23.2% (1,057) | 44.0% (356) |
| Bachelor's Degree and Higher | 8.8% (400) | 14.6% (118) |
Education Levels Comparison: Mountain grove vs Star
- In Star, a larger percentage of residents lack formal schooling at 0.7% compared to 0.6% in Mountain grove.
- A higher percentage of residents in Mountain grove hold a high school diploma at 27.6% compared to 20.9% in Star.
- The percentage of residents with less than a high school education is higher in Star at 44.0%, compared to 23.2% in Mountain grove.
- In Star, a larger share of residents have a bachelor's degree or higher at 14.6% 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.