Demographics details for Monett, MO vs Florence, OR
Population Overview
Compare main population characteristics in Monett, MO vs Florence, OR.
| Data | Monett | Florence |
|---|---|---|
| Population | 9,789 | 9,376 |
| Median Age | 34.7 years | 57.7 years |
| Median Income | $42,635 | $57,568 |
| Married Families | 33.0% | 42.0% |
| Poverty Level | 15% | 10% |
| Unemployment Rate | 3.8 | 4.5 |
Population Comparison: Monett vs Florence
- In Monett, the population is higher at 9,789, compared to 9,376 in Florence.
- The median age in Florence is higher at 57.7 years, compared to 34.7 years in Monett.
- Florence has a higher median income of $57,568, compared to $42,635 in Monett.
- In Florence, the percentage of married families is higher at 42.0%, compared to 33.0% in Monett.
- Monett has a higher poverty level at 15% compared to 10% in Florence.
- Florence has a higher unemployment rate at 4.5% compared to 3.8% in Monett.
Demographics
Demographics Monett vs Florence provide insight into the diversity of the communities to compare.
| Demographic | Monett | Florence |
|---|---|---|
| Black | Data is updating | 2 |
| White | 51 | 87 |
| Asian | 2 | 2 |
| Hispanic | 29 | 5 |
| Two or More Races | 15 | 3 |
| American Indian | 3 | 1 |
Demographics Comparison: Monett vs Florence
- In Florence, the percentage of Black residents is higher at 2% compared to 0% in Monett.
- The percentage of White residents is higher in Florence at 87% compared to 51% in Monett.
- Both Monett and Florence have the same percentage of Asian residents at 2%.
- The Hispanic community is larger in Monett at 29% compared to 5% in Florence.
- More residents identify as two or more races in Monett at 15% compared to 3% in Florence.
- A greater percentage of American Indian residents live in Monett at 3% compared to 1% in Florence.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Monett | Florence |
|---|---|---|
| Mental Health Not Good | 18.9% | 19.8% |
| Physical Health Not Good | 14.4% | 13.1% |
| Depression | 25.3% | 29.2% |
| Smoking | 22.8% | 16.7% |
| Binge Drinking | 16.5% | 17.0% |
| Obesity | 41.0% | 36.0% |
| Disability Percentage | 13.0% | 25.0% |
Health Statistics Comparison: Monett vs Florence
- In Florence, a higher percentage report poor mental health at 19.8% compared to 18.9% in Monett.
- Higher depression rates are seen in Florence at 29.2% versus 25.3% in Monett.
- Smoking is more prevalent in Monett at 22.8% compared to 16.7% in Florence.
- More residents engage in binge drinking in Florence at 17.0% compared to 16.5% in Monett.
- Obesity rates are higher in Monett at 41.0% compared to 36.0% in Florence.
- There is a higher percentage of disabled individuals in Florence at 25.0% 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 | Monett | Florence |
|---|---|---|
| No Schooling | 1.0% (97) | 0.4% (35) |
| High School Diploma | 20.5% (2,003) | 14.2% (1,331) |
| Less than High School | 20.0% (1,953) | 15.6% (1,467) |
| Bachelor's Degree and Higher | 8.4% (822) | 19.9% (1,865) |
Education Levels Comparison: Monett vs Florence
- A higher percentage of residents in Monett have no formal schooling at 1.0% compared to 0.4% in Florence.
- A higher percentage of residents in Monett hold a high school diploma at 20.5% compared to 14.2% in Florence.
- More residents in Monett have less than a high school education at 20.0% compared to 15.6% in Florence.
- In Florence, a larger share of residents have a bachelor's degree or higher at 19.9% 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.