Demographics details for Hot springs, SD vs Dayton, OH
Population Overview
Compare main population characteristics in Hot springs, SD vs Dayton, OH.
| Data | Hot springs | Dayton |
|---|---|---|
| Population | 3,590 | 135,944 |
| Median Age | 56.3 years | 34.0 years |
| Median Income | $47,337 | $41,443 |
| Married Families | 34.0% | 21.0% |
| Poverty Level | 12% | 18% |
| Unemployment Rate | 3.5 | 6.8 |
Population Comparison: Hot springs vs Dayton
- The population in Dayton is higher at 135,944, compared to 3,590 in Hot springs.
- Residents in Hot springs have a higher median age of 56.3 years compared to 34.0 years in Dayton.
- Hot springs has a higher median income of $47,337 compared to $41,443 in Dayton.
- A higher percentage of married families is found in Hot springs at 34.0% compared to 21.0% in Dayton.
- The poverty level is higher in Dayton at 18%, compared to 12% in Hot springs.
- Dayton has a higher unemployment rate at 6.8% compared to 3.5% in Hot springs.
Demographics
Demographics Hot springs vs Dayton provide insight into the diversity of the communities to compare.
| Demographic | Hot springs | Dayton |
|---|---|---|
| Black | Data is updating | 38 |
| White | 82 | 50 |
| Asian | 2 | 1 |
| Hispanic | 2 | 5 |
| Two or More Races | 2 | 6 |
| American Indian | 12 | Data is updating |
Demographics Comparison: Hot springs vs Dayton
- In Dayton, the percentage of Black residents is higher at 38% compared to 0% in Hot springs.
- Hot springs has a higher percentage of White residents at 82% compared to 50% in Dayton.
- The Asian population is larger in Hot springs at 2% compared to 1% in Dayton.
- Dayton has a higher percentage of Hispanic residents at 5%, compared to 2% in Hot springs.
- The percentage of residents identifying as two or more races is higher in Dayton at 6%, compared to 2% in Hot springs.
- A greater percentage of American Indian residents live in Hot springs at 12% compared to 0% in Dayton.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Hot springs | Dayton |
|---|---|---|
| Mental Health Not Good | 14.8% | 21.9% |
| Physical Health Not Good | 10.6% | 16.5% |
| Depression | 18.3% | 26.5% |
| Smoking | 20.3% | 26.0% |
| Binge Drinking | 19.7% | 15.2% |
| Obesity | 37.1% | 47.6% |
| Disability Percentage | 23.0% | 18.0% |
Health Statistics Comparison: Hot springs vs Dayton
- In Dayton, a higher percentage report poor mental health at 21.9% compared to 14.8% in Hot springs.
- Higher depression rates are seen in Dayton at 26.5% versus 18.3% in Hot springs.
- Dayton has a higher smoking rate at 26.0% compared to 20.3% in Hot springs.
- Binge drinking is more common in Hot springs at 19.7% compared to 15.2% in Dayton.
- Dayton has higher obesity rates at 47.6% compared to 37.1% in Hot springs.
- Disability percentages are higher in Hot springs at 23.0% compared to 18.0% in Dayton.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Hot springs | Dayton |
|---|---|---|
| No Schooling | 2.4% (85) | 0.9% (1,157) |
| High School Diploma | 20.2% (726) | 16.3% (22,101) |
| Less than High School | 15.4% (553) | 13.9% (18,900) |
| Bachelor's Degree and Higher | 13.9% (498) | 12.7% (17,260) |
Education Levels Comparison: Hot springs vs Dayton
- A higher percentage of residents in Hot springs have no formal schooling at 2.4% compared to 0.9% in Dayton.
- A higher percentage of residents in Hot springs hold a high school diploma at 20.2% compared to 16.3% in Dayton.
- More residents in Hot springs have less than a high school education at 15.4% compared to 13.9% in Dayton.
- A higher percentage of residents in Hot springs hold a bachelor's degree or higher at 13.9% 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.