Demographics details for Spearfish, SD vs Dayton, OH
Population Overview
Compare main population characteristics in Spearfish, SD vs Dayton, OH.
| Data | Spearfish | Dayton |
|---|---|---|
| Population | 12,914 | 135,944 |
| Median Age | 38.4 years | 34.0 years |
| Median Income | $58,734 | $41,443 |
| Married Families | 35.0% | 21.0% |
| Poverty Level | 11% | 18% |
| Unemployment Rate | 2.5 | 6.8 |
Population Comparison: Spearfish vs Dayton
- The population in Dayton is higher at 135,944, compared to 12,914 in Spearfish.
- Residents in Spearfish have a higher median age of 38.4 years compared to 34.0 years in Dayton.
- Spearfish has a higher median income of $58,734 compared to $41,443 in Dayton.
- A higher percentage of married families is found in Spearfish at 35.0% compared to 21.0% in Dayton.
- The poverty level is higher in Dayton at 18%, compared to 11% in Spearfish.
- Dayton has a higher unemployment rate at 6.8% compared to 2.5% in Spearfish.
Demographics
Demographics Spearfish vs Dayton provide insight into the diversity of the communities to compare.
| Demographic | Spearfish | Dayton |
|---|---|---|
| Black | 1 | 38 |
| White | 88 | 50 |
| Asian | Data is updating | 1 |
| Hispanic | 2 | 5 |
| Two or More Races | 6 | 6 |
| American Indian | 3 | Data is updating |
Demographics Comparison: Spearfish vs Dayton
- In Dayton, the percentage of Black residents is higher at 38% compared to 1% in Spearfish.
- Spearfish has a higher percentage of White residents at 88% compared to 50% in Dayton.
- In Dayton, the Asian population stands at 1%, greater than 0% in Spearfish.
- Dayton has a higher percentage of Hispanic residents at 5%, compared to 2% in Spearfish.
- Both Spearfish and Dayton have the same percentage of residents identifying as two or more races at 6%.
- A greater percentage of American Indian residents live in Spearfish at 3% compared to 0% in Dayton.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Spearfish | Dayton |
|---|---|---|
| Mental Health Not Good | 13.0% | 21.9% |
| Physical Health Not Good | 8.7% | 16.5% |
| Depression | 18.3% | 26.5% |
| Smoking | 15.3% | 26.0% |
| Binge Drinking | 21.0% | 15.2% |
| Obesity | 31.3% | 47.6% |
| Disability Percentage | 16.0% | 18.0% |
Health Statistics Comparison: Spearfish vs Dayton
- In Dayton, a higher percentage report poor mental health at 21.9% compared to 13.0% in Spearfish.
- Higher depression rates are seen in Dayton at 26.5% versus 18.3% in Spearfish.
- Dayton has a higher smoking rate at 26.0% compared to 15.3% in Spearfish.
- Binge drinking is more common in Spearfish at 21.0% compared to 15.2% in Dayton.
- Dayton has higher obesity rates at 47.6% compared to 31.3% in Spearfish.
- There is a higher percentage of disabled individuals in Dayton at 18.0% compared to 16.0% in Spearfish.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Spearfish | Dayton |
|---|---|---|
| No Schooling | 0.5% (59) | 0.9% (1,157) |
| High School Diploma | 11.5% (1,483) | 16.3% (22,101) |
| Less than High School | 4.7% (613) | 13.9% (18,900) |
| Bachelor's Degree and Higher | 28.1% (3,633) | 12.7% (17,260) |
Education Levels Comparison: Spearfish vs Dayton
- In Dayton, a larger percentage of residents lack formal schooling at 0.9% compared to 0.5% in Spearfish.
- In Dayton, the rate of residents with high school diplomas is higher at 16.3% compared to 11.5% in Spearfish.
- The percentage of residents with less than a high school education is higher in Dayton at 13.9%, compared to 4.7% in Spearfish.
- A higher percentage of residents in Spearfish hold a bachelor's degree or higher at 28.1% 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.