Demographics details for Mountain grove, MO vs Chester, VA
Population Overview
Compare main population characteristics in Mountain grove, MO vs Chester, VA.
| Data | Mountain grove | Chester |
|---|---|---|
| Population | 4,551 | 23,068 |
| Median Age | 42.3 years | 40.6 years |
| Median Income | $38,103 | $87,242 |
| Married Families | 35.0% | 42.0% |
| Poverty Level | 15% | 5% |
| Unemployment Rate | 4.5 | 3.5 |
Population Comparison: Mountain grove vs Chester
- The population in Chester is higher at 23,068, compared to 4,551 in Mountain grove.
- Residents in Mountain grove have a higher median age of 42.3 years compared to 40.6 years in Chester.
- Chester has a higher median income of $87,242, compared to $38,103 in Mountain grove.
- In Chester, the percentage of married families is higher at 42.0%, compared to 35.0% in Mountain grove.
- Mountain grove has a higher poverty level at 15% compared to 5% in Chester.
- The unemployment rate in Mountain grove is higher at 4.5%, compared to 3.5% in Chester.
Demographics
Demographics Mountain grove vs Chester provide insight into the diversity of the communities to compare.
| Demographic | Mountain grove | Chester |
|---|---|---|
| Black | Data is updating | 25 |
| White | 89 | 55 |
| Asian | 1 | 2 |
| Hispanic | 2 | 11 |
| Two or More Races | 8 | 6 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Mountain grove vs Chester
- In Chester, the percentage of Black residents is higher at 25% compared to 0% in Mountain grove.
- Mountain grove has a higher percentage of White residents at 89% compared to 55% in Chester.
- In Chester, the Asian population stands at 2%, greater than 1% in Mountain grove.
- Chester has a higher percentage of Hispanic residents at 11%, compared to 2% in Mountain grove.
- More residents identify as two or more races in Mountain grove at 8% compared to 6% in Chester.
- In Chester, the percentage of American Indian residents is higher at 1%, compared to 0% in Mountain grove.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Mountain grove | Chester |
|---|---|---|
| Mental Health Not Good | 22.5% | 16.6% |
| Physical Health Not Good | 18.1% | 10.0% |
| Depression | 28.4% | 21.3% |
| Smoking | 31.2% | 15.3% |
| Binge Drinking | 14.8% | 18.4% |
| Obesity | 44.6% | 36.5% |
| Disability Percentage | 24.0% | 11.0% |
Health Statistics Comparison: Mountain grove vs Chester
- More residents in Mountain grove report poor mental health at 22.5% compared to 16.6% in Chester.
- Depression is more prevalent in Mountain grove at 28.4% compared to 21.3% in Chester.
- Smoking is more prevalent in Mountain grove at 31.2% compared to 15.3% in Chester.
- More residents engage in binge drinking in Chester at 18.4% compared to 14.8% in Mountain grove.
- Obesity rates are higher in Mountain grove at 44.6% compared to 36.5% in Chester.
- Disability percentages are higher in Mountain grove at 24.0% compared to 11.0% in Chester.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Mountain grove | Chester |
|---|---|---|
| No Schooling | 0.6% (26) | 1.5% (344) |
| High School Diploma | 27.6% (1,256) | 16.8% (3,871) |
| Less than High School | 23.2% (1,057) | 11.9% (2,738) |
| Bachelor's Degree and Higher | 8.8% (400) | 22.3% (5,134) |
Education Levels Comparison: Mountain grove vs Chester
- In Chester, a larger percentage of residents lack formal schooling at 1.5% 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 16.8% in Chester.
- More residents in Mountain grove have less than a high school education at 23.2% compared to 11.9% in Chester.
- In Chester, a larger share of residents have a bachelor's degree or higher at 22.3% 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.