Demographics details for Santa fe springs, CA vs Dayton, OH
Population Overview
Compare main population characteristics in Santa fe springs, CA vs Dayton, OH.
| Data | Santa fe springs | Dayton |
|---|---|---|
| Population | 18,439 | 135,944 |
| Median Age | 38.0 years | 34.0 years |
| Median Income | $81,500 | $41,443 |
| Married Families | 37.0% | 21.0% |
| Poverty Level | 10% | 18% |
| Unemployment Rate | 5.5 | 6.8 |
Population Comparison: Santa fe springs vs Dayton
- The population in Dayton is higher at 135,944, compared to 18,439 in Santa fe springs.
- Residents in Santa fe springs have a higher median age of 38.0 years compared to 34.0 years in Dayton.
- Santa fe springs has a higher median income of $81,500 compared to $41,443 in Dayton.
- A higher percentage of married families is found in Santa fe springs at 37.0% compared to 21.0% in Dayton.
- The poverty level is higher in Dayton at 18%, compared to 10% in Santa fe springs.
- Dayton has a higher unemployment rate at 6.8% compared to 5.5% in Santa fe springs.
Demographics
Demographics Santa fe springs vs Dayton provide insight into the diversity of the communities to compare.
| Demographic | Santa fe springs | Dayton |
|---|---|---|
| Black | 4 | 38 |
| White | -5 | 50 |
| Asian | 8 | 1 |
| Hispanic | 75 | 5 |
| Two or More Races | 15 | 6 |
| American Indian | 3 | Data is updating |
Demographics Comparison: Santa fe springs vs Dayton
- In Dayton, the percentage of Black residents is higher at 38% compared to 4% in Santa fe springs.
- The percentage of White residents is higher in Dayton at 50% compared to -5% in Santa fe springs.
- The Asian population is larger in Santa fe springs at 8% compared to 1% in Dayton.
- The Hispanic community is larger in Santa fe springs at 75% compared to 5% in Dayton.
- More residents identify as two or more races in Santa fe springs at 15% compared to 6% in Dayton.
- A greater percentage of American Indian residents live in Santa fe springs at 3% compared to 0% in Dayton.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Santa fe springs | Dayton |
|---|---|---|
| Mental Health Not Good | 14.9% | 21.9% |
| Physical Health Not Good | 11.7% | 16.5% |
| Depression | 15.1% | 26.5% |
| Smoking | 10.0% | 26.0% |
| Binge Drinking | 15.7% | 15.2% |
| Obesity | 30.9% | 47.6% |
| Disability Percentage | 10.0% | 18.0% |
Health Statistics Comparison: Santa fe springs vs Dayton
- In Dayton, a higher percentage report poor mental health at 21.9% compared to 14.9% in Santa fe springs.
- Higher depression rates are seen in Dayton at 26.5% versus 15.1% in Santa fe springs.
- Dayton has a higher smoking rate at 26.0% compared to 10.0% in Santa fe springs.
- Binge drinking is more common in Santa fe springs at 15.7% compared to 15.2% in Dayton.
- Dayton has higher obesity rates at 47.6% compared to 30.9% in Santa fe springs.
- There is a higher percentage of disabled individuals in Dayton at 18.0% compared to 10.0% in Santa fe springs.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Santa fe springs | Dayton |
|---|---|---|
| No Schooling | 3.5% (644) | 0.9% (1,157) |
| High School Diploma | 16.3% (3,011) | 16.3% (22,101) |
| Less than High School | 26.5% (4,883) | 13.9% (18,900) |
| Bachelor's Degree and Higher | 15.5% (2,850) | 12.7% (17,260) |
Education Levels Comparison: Santa fe springs vs Dayton
- A higher percentage of residents in Santa fe springs have no formal schooling at 3.5% compared to 0.9% in Dayton.
- Both cities have the same percentage of residents with high school diplomas at 16.3%.
- More residents in Santa fe springs have less than a high school education at 26.5% compared to 13.9% in Dayton.
- A higher percentage of residents in Santa fe springs hold a bachelor's degree or higher at 15.5% 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.