Demographics details for Santa rosa, CA vs Senecaville, OH
Population Overview
Compare main population characteristics in Santa rosa, CA vs Senecaville, OH.
| Data | Santa rosa | Senecaville |
|---|---|---|
| Population | 177,181 | 415 |
| Median Age | 40.4 years | 36.4 years |
| Median Income | $92,604 | $48,036 |
| Married Families | 39.0% | 43.0% |
| Poverty Level | 10% | 10% |
| Unemployment Rate | 4.2 | 4.5 |
Population Comparison: Santa rosa vs Senecaville
- In Santa rosa, the population is higher at 177,181, compared to 415 in Senecaville.
- Residents in Santa rosa have a higher median age of 40.4 years compared to 36.4 years in Senecaville.
- Santa rosa has a higher median income of $92,604 compared to $48,036 in Senecaville.
- In Senecaville, the percentage of married families is higher at 43.0%, compared to 39.0% in Santa rosa.
- The poverty level is identical in both Santa rosa and Senecaville at 10%.
- Senecaville has a higher unemployment rate at 4.5% compared to 4.2% in Santa rosa.
Demographics
Demographics Santa rosa vs Senecaville provide insight into the diversity of the communities to compare.
| Demographic | Santa rosa | Senecaville |
|---|---|---|
| Black | 2 | 3 |
| White | 46 | 89 |
| Asian | 6 | Data is updating |
| Hispanic | 34 | 1 |
| Two or More Races | 11 | 7 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Santa rosa vs Senecaville
- In Senecaville, the percentage of Black residents is higher at 3% compared to 2% in Santa rosa.
- The percentage of White residents is higher in Senecaville at 89% compared to 46% in Santa rosa.
- The Asian population is larger in Santa rosa at 6% compared to 0% in Senecaville.
- The Hispanic community is larger in Santa rosa at 34% compared to 1% in Senecaville.
- More residents identify as two or more races in Santa rosa at 11% compared to 7% in Senecaville.
- A greater percentage of American Indian residents live in Santa rosa at 1% compared to 0% in Senecaville.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Santa rosa | Senecaville |
|---|---|---|
| Mental Health Not Good | 16.0% | 18.4% |
| Physical Health Not Good | 10.5% | 13.1% |
| Depression | 20.3% | 24.5% |
| Smoking | 12.0% | 22.6% |
| Binge Drinking | 19.4% | 18.7% |
| Obesity | 29.1% | 42.9% |
| Disability Percentage | 12.0% | 26.0% |
Health Statistics Comparison: Santa rosa vs Senecaville
- In Senecaville, a higher percentage report poor mental health at 18.4% compared to 16.0% in Santa rosa.
- Higher depression rates are seen in Senecaville at 24.5% versus 20.3% in Santa rosa.
- Senecaville has a higher smoking rate at 22.6% compared to 12.0% in Santa rosa.
- Binge drinking is more common in Santa rosa at 19.4% compared to 18.7% in Senecaville.
- Senecaville has higher obesity rates at 42.9% compared to 29.1% in Santa rosa.
- There is a higher percentage of disabled individuals in Senecaville at 26.0% compared to 12.0% in Santa rosa.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Santa rosa | Senecaville |
|---|---|---|
| No Schooling | 2.1% (3,760) | 0.0% (Data is updating) |
| High School Diploma | 10.9% (19,354) | 31.3% (130) |
| Less than High School | 19.8% (35,085) | 19.3% (80) |
| Bachelor's Degree and Higher | 24.9% (44,058) | 5.3% (22) |
Education Levels Comparison: Santa rosa vs Senecaville
- A higher percentage of residents in Santa rosa have no formal schooling at 2.1% compared to 0.0% in Senecaville.
- In Senecaville, the rate of residents with high school diplomas is higher at 31.3% compared to 10.9% in Santa rosa.
- More residents in Santa rosa have less than a high school education at 19.8% compared to 19.3% in Senecaville.
- A higher percentage of residents in Santa rosa hold a bachelor's degree or higher at 24.9% compared to 5.3% in Senecaville.
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.