Demographics details for Charlotte, NC vs Monett, MO
Population Overview
Compare main population characteristics in Charlotte, NC vs Monett, MO.
| Data | Charlotte | Monett |
|---|---|---|
| Population | 897,720 | 9,789 |
| Median Age | 34.5 years | 34.7 years |
| Median Income | $74,070 | $42,635 |
| Married Families | 33.0% | 33.0% |
| Poverty Level | 12% | 15% |
| Unemployment Rate | 4.0 | 3.8 |
Population Comparison: Charlotte vs Monett
- In Charlotte, the population is higher at 897,720, compared to 9,789 in Monett.
- The median age in Monett is higher at 34.7 years, compared to 34.5 years in Charlotte.
- Charlotte has a higher median income of $74,070 compared to $42,635 in Monett.
- The percentage of married families is the same in both Charlotte and Monett at 33.0%.
- The poverty level is higher in Monett at 15%, compared to 12% in Charlotte.
- The unemployment rate in Charlotte is higher at 4.0%, compared to 3.8% in Monett.
Demographics
Demographics Charlotte vs Monett provide insight into the diversity of the communities to compare.
| Demographic | Charlotte | Monett |
|---|---|---|
| Black | 34 | Data is updating |
| White | 38 | 51 |
| Asian | 6 | 2 |
| Hispanic | 15 | 29 |
| Two or More Races | 7 | 15 |
| American Indian | Data is updating | 3 |
Demographics Comparison: Charlotte vs Monett
- A higher percentage of Black residents are in Charlotte at 34% compared to 0% in Monett.
- The percentage of White residents is higher in Monett at 51% compared to 38% in Charlotte.
- The Asian population is larger in Charlotte at 6% compared to 2% in Monett.
- Monett has a higher percentage of Hispanic residents at 29%, compared to 15% in Charlotte.
- The percentage of residents identifying as two or more races is higher in Monett at 15%, compared to 7% in Charlotte.
- In Monett, the percentage of American Indian residents is higher at 3%, compared to 0% in Charlotte.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Charlotte | Monett |
|---|---|---|
| Mental Health Not Good | 14.7% | 18.9% |
| Physical Health Not Good | 10.1% | 14.4% |
| Depression | 20.1% | 25.3% |
| Smoking | 13.9% | 22.8% |
| Binge Drinking | 17.5% | 16.5% |
| Obesity | 34.7% | 41.0% |
| Disability Percentage | 8.0% | 13.0% |
Health Statistics Comparison: Charlotte vs Monett
- In Monett, a higher percentage report poor mental health at 18.9% compared to 14.7% in Charlotte.
- Higher depression rates are seen in Monett at 25.3% versus 20.1% in Charlotte.
- Monett has a higher smoking rate at 22.8% compared to 13.9% in Charlotte.
- Binge drinking is more common in Charlotte at 17.5% compared to 16.5% in Monett.
- Monett has higher obesity rates at 41.0% compared to 34.7% in Charlotte.
- There is a higher percentage of disabled individuals in Monett at 13.0% compared to 8.0% in Charlotte.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Charlotte | Monett |
|---|---|---|
| No Schooling | 1.2% (10,429) | 1.0% (97) |
| High School Diploma | 9.4% (84,002) | 20.5% (2,003) |
| Less than High School | 10.7% (95,990) | 20.0% (1,953) |
| Bachelor's Degree and Higher | 30.6% (274,311) | 8.4% (822) |
Education Levels Comparison: Charlotte vs Monett
- A higher percentage of residents in Charlotte have no formal schooling at 1.2% compared to 1.0% in Monett.
- In Monett, the rate of residents with high school diplomas is higher at 20.5% compared to 9.4% in Charlotte.
- The percentage of residents with less than a high school education is higher in Monett at 20.0%, compared to 10.7% in Charlotte.
- A higher percentage of residents in Charlotte hold a bachelor's degree or higher at 30.6% 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.