Demographics details for Dayton, TN vs Higginsville, MO
Population Overview
Compare main population characteristics in Dayton, TN vs Higginsville, MO.
| Data | Dayton | Higginsville |
|---|---|---|
| Population | 7,347 | 4,755 |
| Median Age | 34.6 years | 40.3 years |
| Median Income | $54,511 | $76,731 |
| Married Families | 36.0% | 36.0% |
| Poverty Level | 15% | 8% |
| Unemployment Rate | 3.5 | 3.4 |
Population Comparison: Dayton vs Higginsville
- In Dayton, the population is higher at 7,347, compared to 4,755 in Higginsville.
- The median age in Higginsville is higher at 40.3 years, compared to 34.6 years in Dayton.
- Higginsville has a higher median income of $76,731, compared to $54,511 in Dayton.
- The percentage of married families is the same in both Dayton and Higginsville at 36.0%.
- Dayton has a higher poverty level at 15% compared to 8% in Higginsville.
- The unemployment rate in Dayton is higher at 3.5%, compared to 3.4% in Higginsville.
Demographics
Demographics Dayton vs Higginsville provide insight into the diversity of the communities to compare.
| Demographic | Dayton | Higginsville |
|---|---|---|
| Black | 4 | 8 |
| White | 83 | 86 |
| Asian | 2 | Data is updating |
| Hispanic | 6 | 3 |
| Two or More Races | 5 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Dayton vs Higginsville
- In Higginsville, the percentage of Black residents is higher at 8% compared to 4% in Dayton.
- The percentage of White residents is higher in Higginsville at 86% compared to 83% in Dayton.
- The Asian population is larger in Dayton at 2% compared to 0% in Higginsville.
- The Hispanic community is larger in Dayton at 6% compared to 3% in Higginsville.
- More residents identify as two or more races in Dayton at 5% compared to 3% in Higginsville.
- The percentage of American Indian residents is the same in both Dayton and Higginsville at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Dayton | Higginsville |
|---|---|---|
| Mental Health Not Good | 22.9% | 17.2% |
| Physical Health Not Good | 17.4% | 12.2% |
| Depression | 32.0% | 23.9% |
| Smoking | 28.8% | 20.8% |
| Binge Drinking | 13.4% | 19.4% |
| Obesity | 44.2% | 40.6% |
| Disability Percentage | 20.0% | 24.0% |
Health Statistics Comparison: Dayton vs Higginsville
- More residents in Dayton report poor mental health at 22.9% compared to 17.2% in Higginsville.
- Depression is more prevalent in Dayton at 32.0% compared to 23.9% in Higginsville.
- Smoking is more prevalent in Dayton at 28.8% compared to 20.8% in Higginsville.
- More residents engage in binge drinking in Higginsville at 19.4% compared to 13.4% in Dayton.
- Obesity rates are higher in Dayton at 44.2% compared to 40.6% in Higginsville.
- There is a higher percentage of disabled individuals in Higginsville at 24.0% compared to 20.0% in Dayton.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Dayton | Higginsville |
|---|---|---|
| No Schooling | 2.0% (145) | 2.3% (109) |
| High School Diploma | 19.8% (1,453) | 26.1% (1,241) |
| Less than High School | 23.6% (1,732) | 15.3% (729) |
| Bachelor's Degree and Higher | 10.7% (783) | 20.8% (991) |
Education Levels Comparison: Dayton vs Higginsville
- In Higginsville, a larger percentage of residents lack formal schooling at 2.3% compared to 2.0% in Dayton.
- In Higginsville, the rate of residents with high school diplomas is higher at 26.1% compared to 19.8% in Dayton.
- More residents in Dayton have less than a high school education at 23.6% compared to 15.3% in Higginsville.
- In Higginsville, a larger share of residents have a bachelor's degree or higher at 20.8% compared to 10.7% in Dayton.
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.