Demographics details for Winchester, VA vs Monett, MO
Population Overview
Compare main population characteristics in Winchester, VA vs Monett, MO.
| Data | Winchester | Monett |
|---|---|---|
| Population | 27,936 | 9,789 |
| Median Age | 36.6 years | 34.7 years |
| Median Income | $62,495 | $42,635 |
| Married Families | 33.0% | 33.0% |
| Poverty Level | 10% | 15% |
| Unemployment Rate | 3.1 | 3.8 |
Population Comparison: Winchester vs Monett
- In Winchester, the population is higher at 27,936, compared to 9,789 in Monett.
- Residents in Winchester have a higher median age of 36.6 years compared to 34.7 years in Monett.
- Winchester has a higher median income of $62,495 compared to $42,635 in Monett.
- The percentage of married families is the same in both Winchester and Monett at 33.0%.
- The poverty level is higher in Monett at 15%, compared to 10% in Winchester.
- Monett has a higher unemployment rate at 3.8% compared to 3.1% in Winchester.
Demographics
Demographics Winchester vs Monett provide insight into the diversity of the communities to compare.
| Demographic | Winchester | Monett |
|---|---|---|
| Black | 10 | Data is updating |
| White | 60 | 51 |
| Asian | 2 | 2 |
| Hispanic | 19 | 29 |
| Two or More Races | 9 | 15 |
| American Indian | Data is updating | 3 |
Demographics Comparison: Winchester vs Monett
- A higher percentage of Black residents are in Winchester at 10% compared to 0% in Monett.
- Winchester has a higher percentage of White residents at 60% compared to 51% in Monett.
- Both Winchester and Monett have the same percentage of Asian residents at 2%.
- Monett has a higher percentage of Hispanic residents at 29%, compared to 19% in Winchester.
- The percentage of residents identifying as two or more races is higher in Monett at 15%, compared to 9% in Winchester.
- In Monett, the percentage of American Indian residents is higher at 3%, compared to 0% in Winchester.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Winchester | Monett |
|---|---|---|
| Mental Health Not Good | 16.3% | 18.9% |
| Physical Health Not Good | 11.1% | 14.4% |
| Depression | 22.7% | 25.3% |
| Smoking | 15.8% | 22.8% |
| Binge Drinking | 16.5% | 16.5% |
| Obesity | 38.0% | 41.0% |
| Disability Percentage | 15.0% | 13.0% |
Health Statistics Comparison: Winchester vs Monett
- In Monett, a higher percentage report poor mental health at 18.9% compared to 16.3% in Winchester.
- Higher depression rates are seen in Monett at 25.3% versus 22.7% in Winchester.
- Monett has a higher smoking rate at 22.8% compared to 15.8% in Winchester.
- Binge drinking rates are similar in both Winchester and Monett at 16.5%.
- Monett has higher obesity rates at 41.0% compared to 38.0% in Winchester.
- Disability percentages are higher in Winchester at 15.0% compared to 13.0% in Monett.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Winchester | Monett |
|---|---|---|
| No Schooling | 0.7% (207) | 1.0% (97) |
| High School Diploma | 15.0% (4,203) | 20.5% (2,003) |
| Less than High School | 15.9% (4,448) | 20.0% (1,953) |
| Bachelor's Degree and Higher | 21.7% (6,065) | 8.4% (822) |
Education Levels Comparison: Winchester vs Monett
- In Monett, a larger percentage of residents lack formal schooling at 1.0% compared to 0.7% in Winchester.
- In Monett, the rate of residents with high school diplomas is higher at 20.5% compared to 15.0% in Winchester.
- The percentage of residents with less than a high school education is higher in Monett at 20.0%, compared to 15.9% in Winchester.
- A higher percentage of residents in Winchester hold a bachelor's degree or higher at 21.7% 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.