Demographics details for Frederick, MD vs Monett, MO
Population Overview
Compare main population characteristics in Frederick, MD vs Monett, MO.
| Data | Frederick | Monett |
|---|---|---|
| Population | 82,175 | 9,789 |
| Median Age | 37.0 years | 34.7 years |
| Median Income | $89,981 | $42,635 |
| Married Families | 35.0% | 33.0% |
| Poverty Level | 11% | 15% |
| Unemployment Rate | 3.1 | 3.8 |
Population Comparison: Frederick vs Monett
- In Frederick, the population is higher at 82,175, compared to 9,789 in Monett.
- Residents in Frederick have a higher median age of 37.0 years compared to 34.7 years in Monett.
- Frederick has a higher median income of $89,981 compared to $42,635 in Monett.
- A higher percentage of married families is found in Frederick at 35.0% compared to 33.0% in Monett.
- The poverty level is higher in Monett at 15%, compared to 11% in Frederick.
- Monett has a higher unemployment rate at 3.8% compared to 3.1% in Frederick.
Demographics
Demographics Frederick vs Monett provide insight into the diversity of the communities to compare.
| Demographic | Frederick | Monett |
|---|---|---|
| Black | 17 | Data is updating |
| White | 51 | 51 |
| Asian | 5 | 2 |
| Hispanic | 17 | 29 |
| Two or More Races | 10 | 15 |
| American Indian | Data is updating | 3 |
Demographics Comparison: Frederick vs Monett
- A higher percentage of Black residents are in Frederick at 17% compared to 0% in Monett.
- The percentage of White residents is the same in both Frederick and Monett at 51%.
- The Asian population is larger in Frederick at 5% compared to 2% in Monett.
- Monett has a higher percentage of Hispanic residents at 29%, compared to 17% in Frederick.
- The percentage of residents identifying as two or more races is higher in Monett at 15%, compared to 10% in Frederick.
- In Monett, the percentage of American Indian residents is higher at 3%, compared to 0% in Frederick.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Frederick | Monett |
|---|---|---|
| Mental Health Not Good | 15.3% | 18.9% |
| Physical Health Not Good | 8.9% | 14.4% |
| Depression | 19.2% | 25.3% |
| Smoking | 13.6% | 22.8% |
| Binge Drinking | 15.4% | 16.5% |
| Obesity | 35.1% | 41.0% |
| Disability Percentage | 10.0% | 13.0% |
Health Statistics Comparison: Frederick vs Monett
- In Monett, a higher percentage report poor mental health at 18.9% compared to 15.3% in Frederick.
- Higher depression rates are seen in Monett at 25.3% versus 19.2% in Frederick.
- Monett has a higher smoking rate at 22.8% compared to 13.6% in Frederick.
- More residents engage in binge drinking in Monett at 16.5% compared to 15.4% in Frederick.
- Monett has higher obesity rates at 41.0% compared to 35.1% in Frederick.
- There is a higher percentage of disabled individuals in Monett at 13.0% compared to 10.0% in Frederick.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Frederick | Monett |
|---|---|---|
| No Schooling | 1.1% (882) | 1.0% (97) |
| High School Diploma | 12.6% (10,359) | 20.5% (2,003) |
| Less than High School | 12.2% (9,990) | 20.0% (1,953) |
| Bachelor's Degree and Higher | 27.2% (22,327) | 8.4% (822) |
Education Levels Comparison: Frederick vs Monett
- A higher percentage of residents in Frederick have no formal schooling at 1.1% compared to 1.0% in Monett.
- In Monett, the rate of residents with high school diplomas is higher at 20.5% compared to 12.6% in Frederick.
- The percentage of residents with less than a high school education is higher in Monett at 20.0%, compared to 12.2% in Frederick.
- A higher percentage of residents in Frederick hold a bachelor's degree or higher at 27.2% 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.