Demographics details for Fort smith, AR vs Monett, MO
Population Overview
Compare main population characteristics in Fort smith, AR vs Monett, MO.
| Data | Fort smith | Monett |
|---|---|---|
| Population | 89,992 | 9,789 |
| Median Age | 36.4 years | 34.7 years |
| Median Income | $50,799 | $42,635 |
| Married Families | 36.0% | 33.0% |
| Poverty Level | 12% | 15% |
| Unemployment Rate | 3.7 | 3.8 |
Population Comparison: Fort smith vs Monett
- In Fort smith, the population is higher at 89,992, compared to 9,789 in Monett.
- Residents in Fort smith have a higher median age of 36.4 years compared to 34.7 years in Monett.
- Fort smith has a higher median income of $50,799 compared to $42,635 in Monett.
- A higher percentage of married families is found in Fort smith at 36.0% compared to 33.0% in Monett.
- The poverty level is higher in Monett at 15%, compared to 12% in Fort smith.
- Monett has a higher unemployment rate at 3.8% compared to 3.7% in Fort smith.
Demographics
Demographics Fort smith vs Monett provide insight into the diversity of the communities to compare.
| Demographic | Fort smith | Monett |
|---|---|---|
| Black | 8 | Data is updating |
| White | 57 | 51 |
| Asian | 6 | 2 |
| Hispanic | 19 | 29 |
| Two or More Races | 9 | 15 |
| American Indian | 1 | 3 |
Demographics Comparison: Fort smith vs Monett
- A higher percentage of Black residents are in Fort smith at 8% compared to 0% in Monett.
- Fort smith has a higher percentage of White residents at 57% compared to 51% in Monett.
- The Asian population is larger in Fort smith at 6% compared to 2% in Monett.
- Monett has a higher percentage of Hispanic residents at 29%, compared to 19% in Fort smith.
- The percentage of residents identifying as two or more races is higher in Monett at 15%, compared to 9% in Fort smith.
- In Monett, the percentage of American Indian residents is higher at 3%, compared to 1% in Fort smith.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Fort smith | Monett |
|---|---|---|
| Mental Health Not Good | 19.6% | 18.9% |
| Physical Health Not Good | 14.7% | 14.4% |
| Depression | 27.8% | 25.3% |
| Smoking | 21.8% | 22.8% |
| Binge Drinking | 13.2% | 16.5% |
| Obesity | 39.5% | 41.0% |
| Disability Percentage | 20.0% | 13.0% |
Health Statistics Comparison: Fort smith vs Monett
- More residents in Fort smith report poor mental health at 19.6% compared to 18.9% in Monett.
- Depression is more prevalent in Fort smith at 27.8% compared to 25.3% in Monett.
- Monett has a higher smoking rate at 22.8% compared to 21.8% in Fort smith.
- More residents engage in binge drinking in Monett at 16.5% compared to 13.2% in Fort smith.
- Monett has higher obesity rates at 41.0% compared to 39.5% in Fort smith.
- Disability percentages are higher in Fort smith at 20.0% 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 | Fort smith | Monett |
|---|---|---|
| No Schooling | 2.3% (2,029) | 1.0% (97) |
| High School Diploma | 14.8% (13,356) | 20.5% (2,003) |
| Less than High School | 19.8% (17,822) | 20.0% (1,953) |
| Bachelor's Degree and Higher | 16.4% (14,745) | 8.4% (822) |
Education Levels Comparison: Fort smith vs Monett
- A higher percentage of residents in Fort smith have no formal schooling at 2.3% compared to 1.0% in Monett.
- In Monett, the rate of residents with high school diplomas is higher at 20.5% compared to 14.8% in Fort smith.
- The percentage of residents with less than a high school education is higher in Monett at 20.0%, compared to 19.8% in Fort smith.
- A higher percentage of residents in Fort smith hold a bachelor's degree or higher at 16.4% 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.