Demographics details for Mountain grove, MO vs Welch, WV
Population Overview
Compare main population characteristics in Mountain grove, MO vs Welch, WV.
| Data | Mountain grove | Welch |
|---|---|---|
| Population | 4,551 | 3,446 |
| Median Age | 42.3 years | 41.2 years |
| Median Income | $38,103 | $32,109 |
| Married Families | 35.0% | 22.0% |
| Poverty Level | 15% | 18% |
| Unemployment Rate | 4.5 | 6.7 |
Population Comparison: Mountain grove vs Welch
- In Mountain grove, the population is higher at 4,551, compared to 3,446 in Welch.
- Residents in Mountain grove have a higher median age of 42.3 years compared to 41.2 years in Welch.
- Mountain grove has a higher median income of $38,103 compared to $32,109 in Welch.
- A higher percentage of married families is found in Mountain grove at 35.0% compared to 22.0% in Welch.
- The poverty level is higher in Welch at 18%, compared to 15% in Mountain grove.
- Welch has a higher unemployment rate at 6.7% compared to 4.5% in Mountain grove.
Demographics
Demographics Mountain grove vs Welch provide insight into the diversity of the communities to compare.
| Demographic | Mountain grove | Welch |
|---|---|---|
| Black | Data is updating | 26 |
| White | 89 | 67 |
| Asian | 1 | Data is updating |
| Hispanic | 2 | 7 |
| Two or More Races | 8 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Mountain grove vs Welch
- In Welch, the percentage of Black residents is higher at 26% compared to 0% in Mountain grove.
- Mountain grove has a higher percentage of White residents at 89% compared to 67% in Welch.
- The Asian population is larger in Mountain grove at 1% compared to 0% in Welch.
- Welch has a higher percentage of Hispanic residents at 7%, compared to 2% in Mountain grove.
- More residents identify as two or more races in Mountain grove at 8% compared to 0% in Welch.
- The percentage of American Indian residents is the same in both Mountain grove and Welch at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Mountain grove | Welch |
|---|---|---|
| Mental Health Not Good | 22.5% | 22.9% |
| Physical Health Not Good | 18.1% | 18.5% |
| Depression | 28.4% | 29.4% |
| Smoking | 31.2% | 29.6% |
| Binge Drinking | 14.8% | 13.1% |
| Obesity | 44.6% | 42.9% |
| Disability Percentage | 24.0% | 20.0% |
Health Statistics Comparison: Mountain grove vs Welch
- In Welch, a higher percentage report poor mental health at 22.9% compared to 22.5% in Mountain grove.
- Higher depression rates are seen in Welch at 29.4% versus 28.4% in Mountain grove.
- Smoking is more prevalent in Mountain grove at 31.2% compared to 29.6% in Welch.
- Binge drinking is more common in Mountain grove at 14.8% compared to 13.1% in Welch.
- Obesity rates are higher in Mountain grove at 44.6% compared to 42.9% in Welch.
- Disability percentages are higher in Mountain grove at 24.0% compared to 20.0% in Welch.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Mountain grove | Welch |
|---|---|---|
| No Schooling | 0.6% (26) | 0.2% (7) |
| High School Diploma | 27.6% (1,256) | 31.5% (1,085) |
| Less than High School | 23.2% (1,057) | 33.5% (1,153) |
| Bachelor's Degree and Higher | 8.8% (400) | 6.1% (209) |
Education Levels Comparison: Mountain grove vs Welch
- A higher percentage of residents in Mountain grove have no formal schooling at 0.6% compared to 0.2% in Welch.
- In Welch, the rate of residents with high school diplomas is higher at 31.5% compared to 27.6% in Mountain grove.
- The percentage of residents with less than a high school education is higher in Welch at 33.5%, compared to 23.2% in Mountain grove.
- A higher percentage of residents in Mountain grove hold a bachelor's degree or higher at 8.8% compared to 6.1% in Welch.
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.