Demographics details for Smith center, KS vs Dayton, OH
Population Overview
Compare main population characteristics in Smith center, KS vs Dayton, OH.
| Data | Smith center | Dayton |
|---|---|---|
| Population | 1,561 | 135,944 |
| Median Age | 46.6 years | 34.0 years |
| Median Income | $49,444 | $41,443 |
| Married Families | 43.0% | 21.0% |
| Poverty Level | 10% | 18% |
| Unemployment Rate | 3.2 | 6.8 |
Population Comparison: Smith center vs Dayton
- The population in Dayton is higher at 135,944, compared to 1,561 in Smith center.
- Residents in Smith center have a higher median age of 46.6 years compared to 34.0 years in Dayton.
- Smith center has a higher median income of $49,444 compared to $41,443 in Dayton.
- A higher percentage of married families is found in Smith center at 43.0% compared to 21.0% in Dayton.
- The poverty level is higher in Dayton at 18%, compared to 10% in Smith center.
- Dayton has a higher unemployment rate at 6.8% compared to 3.2% in Smith center.
Demographics
Demographics Smith center vs Dayton provide insight into the diversity of the communities to compare.
| Demographic | Smith center | Dayton |
|---|---|---|
| Black | 1 | 38 |
| White | 94 | 50 |
| Asian | Data is updating | 1 |
| Hispanic | 3 | 5 |
| Two or More Races | 2 | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Smith center vs Dayton
- In Dayton, the percentage of Black residents is higher at 38% compared to 1% in Smith center.
- Smith center has a higher percentage of White residents at 94% compared to 50% in Dayton.
- In Dayton, the Asian population stands at 1%, greater than 0% in Smith center.
- Dayton has a higher percentage of Hispanic residents at 5%, compared to 3% in Smith center.
- The percentage of residents identifying as two or more races is higher in Dayton at 6%, compared to 2% in Smith center.
- The percentage of American Indian residents is the same in both Smith center and Dayton at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Smith center | Dayton |
|---|---|---|
| Mental Health Not Good | 16.7% | 21.9% |
| Physical Health Not Good | 10.8% | 16.5% |
| Depression | 21.7% | 26.5% |
| Smoking | 19.2% | 26.0% |
| Binge Drinking | 19.0% | 15.2% |
| Obesity | 38.8% | 47.6% |
| Disability Percentage | 15.0% | 18.0% |
Health Statistics Comparison: Smith center vs Dayton
- In Dayton, a higher percentage report poor mental health at 21.9% compared to 16.7% in Smith center.
- Higher depression rates are seen in Dayton at 26.5% versus 21.7% in Smith center.
- Dayton has a higher smoking rate at 26.0% compared to 19.2% in Smith center.
- Binge drinking is more common in Smith center at 19.0% compared to 15.2% in Dayton.
- Dayton has higher obesity rates at 47.6% compared to 38.8% in Smith center.
- There is a higher percentage of disabled individuals in Dayton at 18.0% compared to 15.0% in Smith center.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Smith center | Dayton |
|---|---|---|
| No Schooling | 0.2% (3) | 0.9% (1,157) |
| High School Diploma | 29.4% (459) | 16.3% (22,101) |
| Less than High School | 7.6% (118) | 13.9% (18,900) |
| Bachelor's Degree and Higher | 14.8% (231) | 12.7% (17,260) |
Education Levels Comparison: Smith center vs Dayton
- In Dayton, a larger percentage of residents lack formal schooling at 0.9% compared to 0.2% in Smith center.
- A higher percentage of residents in Smith center hold a high school diploma at 29.4% compared to 16.3% in Dayton.
- The percentage of residents with less than a high school education is higher in Dayton at 13.9%, compared to 7.6% in Smith center.
- A higher percentage of residents in Smith center hold a bachelor's degree or higher at 14.8% compared to 12.7% 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.