Demographics details for Monett, MO vs Max meadows, VA
Population Overview
Compare main population characteristics in Monett, MO vs Max meadows, VA.
| Data | Monett | Max meadows |
|---|---|---|
| Population | 9,789 | 580 |
| Median Age | 34.7 years | 47.2 years |
| Median Income | $42,635 | $73,683 |
| Married Families | 33.0% | 43.0% |
| Poverty Level | 15% | 5% |
| Unemployment Rate | 3.8 | 3.5 |
Population Comparison: Monett vs Max meadows
- In Monett, the population is higher at 9,789, compared to 580 in Max meadows.
- The median age in Max meadows is higher at 47.2 years, compared to 34.7 years in Monett.
- Max meadows has a higher median income of $73,683, compared to $42,635 in Monett.
- In Max meadows, the percentage of married families is higher at 43.0%, compared to 33.0% in Monett.
- Monett has a higher poverty level at 15% compared to 5% in Max meadows.
- The unemployment rate in Monett is higher at 3.8%, compared to 3.5% in Max meadows.
Demographics
Demographics Monett vs Max meadows provide insight into the diversity of the communities to compare.
| Demographic | Monett | Max meadows |
|---|---|---|
| Black | Data is updating | Data is updating |
| White | 51 | 98 |
| Asian | 2 | Data is updating |
| Hispanic | 29 | Data is updating |
| Two or More Races | 15 | 2 |
| American Indian | 3 | Data is updating |
Demographics Comparison: Monett vs Max meadows
- The percentage of Black residents is the same in both Monett and Max meadows at 0%.
- The percentage of White residents is higher in Max meadows at 98% compared to 51% in Monett.
- The Asian population is larger in Monett at 2% compared to 0% in Max meadows.
- The Hispanic community is larger in Monett at 29% compared to 0% in Max meadows.
- More residents identify as two or more races in Monett at 15% compared to 2% in Max meadows.
- A greater percentage of American Indian residents live in Monett at 3% compared to 0% in Max meadows.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Monett | Max meadows |
|---|---|---|
| Mental Health Not Good | 18.9% | 18.9% |
| Physical Health Not Good | 14.4% | 12.6% |
| Depression | 25.3% | 26.2% |
| Smoking | 22.8% | 20.4% |
| Binge Drinking | 16.5% | 17.9% |
| Obesity | 41.0% | 40.3% |
| Disability Percentage | 13.0% | 9.0% |
Health Statistics Comparison: Monett vs Max meadows
- Poor mental health levels are equal in both Monett and Max meadows at 18.9%.
- Higher depression rates are seen in Max meadows at 26.2% versus 25.3% in Monett.
- Smoking is more prevalent in Monett at 22.8% compared to 20.4% in Max meadows.
- More residents engage in binge drinking in Max meadows at 17.9% compared to 16.5% in Monett.
- Obesity rates are higher in Monett at 41.0% compared to 40.3% in Max meadows.
- Disability percentages are higher in Monett at 13.0% compared to 9.0% in Max meadows.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Monett | Max meadows |
|---|---|---|
| No Schooling | 1.0% (97) | 0.0% (Data is updating) |
| High School Diploma | 20.5% (2,003) | 37.1% (215) |
| Less than High School | 20.0% (1,953) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 8.4% (822) | 9.8% (57) |
Education Levels Comparison: Monett vs Max meadows
- A higher percentage of residents in Monett have no formal schooling at 1.0% compared to 0.0% in Max meadows.
- In Max meadows, the rate of residents with high school diplomas is higher at 37.1% compared to 20.5% in Monett.
- More residents in Monett have less than a high school education at 20.0% compared to 0.0% in Max meadows.
- In Max meadows, a larger share of residents have a bachelor's degree or higher at 9.8% compared to 8.4% in Monett.
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.