Demographics details for Dayton, PA vs Kelseyville, CA
Population Overview
Compare main population characteristics in Dayton, PA vs Kelseyville, CA.
| Data | Dayton | Kelseyville |
|---|---|---|
| Population | 544 | 3,828 |
| Median Age | 44.7 years | 29.4 years |
| Median Income | $53,750 | $42,880 |
| Married Families | 50.0% | 25.0% |
| Poverty Level | 7% | 15% |
| Unemployment Rate | 4.5 | 4.2 |
Population Comparison: Dayton vs Kelseyville
- The population in Kelseyville is higher at 3,828, compared to 544 in Dayton.
- Residents in Dayton have a higher median age of 44.7 years compared to 29.4 years in Kelseyville.
- Dayton has a higher median income of $53,750 compared to $42,880 in Kelseyville.
- A higher percentage of married families is found in Dayton at 50.0% compared to 25.0% in Kelseyville.
- The poverty level is higher in Kelseyville at 15%, compared to 7% in Dayton.
- The unemployment rate in Dayton is higher at 4.5%, compared to 4.2% in Kelseyville.
Demographics
Demographics Dayton vs Kelseyville provide insight into the diversity of the communities to compare.
| Demographic | Dayton | Kelseyville |
|---|---|---|
| Black | Data is updating | 2 |
| White | 96 | 14 |
| Asian | Data is updating | Data is updating |
| Hispanic | Data is updating | 68 |
| Two or More Races | 4 | 16 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Dayton vs Kelseyville
- In Kelseyville, the percentage of Black residents is higher at 2% compared to 0% in Dayton.
- Dayton has a higher percentage of White residents at 96% compared to 14% in Kelseyville.
- Both Dayton and Kelseyville have the same percentage of Asian residents at 0%.
- Kelseyville has a higher percentage of Hispanic residents at 68%, compared to 0% in Dayton.
- The percentage of residents identifying as two or more races is higher in Kelseyville at 16%, compared to 4% in Dayton.
- The percentage of American Indian residents is the same in both Dayton and Kelseyville at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Dayton | Kelseyville |
|---|---|---|
| Mental Health Not Good | 18.1% | 18.2% |
| Physical Health Not Good | 13.0% | 13.6% |
| Depression | 24.0% | 21.5% |
| Smoking | 22.4% | 16.1% |
| Binge Drinking | 18.3% | 16.5% |
| Obesity | 36.0% | 34.1% |
| Disability Percentage | 22.0% | 15.0% |
Health Statistics Comparison: Dayton vs Kelseyville
- In Kelseyville, a higher percentage report poor mental health at 18.2% compared to 18.1% in Dayton.
- Depression is more prevalent in Dayton at 24.0% compared to 21.5% in Kelseyville.
- Smoking is more prevalent in Dayton at 22.4% compared to 16.1% in Kelseyville.
- Binge drinking is more common in Dayton at 18.3% compared to 16.5% in Kelseyville.
- Obesity rates are higher in Dayton at 36.0% compared to 34.1% in Kelseyville.
- Disability percentages are higher in Dayton at 22.0% compared to 15.0% in Kelseyville.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Dayton | Kelseyville |
|---|---|---|
| No Schooling | 0.6% (3) | 1.4% (54) |
| High School Diploma | 35.1% (191) | 19.0% (726) |
| Less than High School | 15.8% (86) | 32.8% (1,256) |
| Bachelor's Degree and Higher | 9.2% (50) | 7.2% (275) |
Education Levels Comparison: Dayton vs Kelseyville
- In Kelseyville, a larger percentage of residents lack formal schooling at 1.4% compared to 0.6% in Dayton.
- A higher percentage of residents in Dayton hold a high school diploma at 35.1% compared to 19.0% in Kelseyville.
- The percentage of residents with less than a high school education is higher in Kelseyville at 32.8%, compared to 15.8% in Dayton.
- A higher percentage of residents in Dayton hold a bachelor's degree or higher at 9.2% compared to 7.2% in Kelseyville.
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.