Demographics details for Kelseyville, CA vs Seneca, MO
Population Overview
Compare main population characteristics in Kelseyville, CA vs Seneca, MO.
| Data | Kelseyville | Seneca |
|---|---|---|
| Population | 3,828 | 2,284 |
| Median Age | 29.4 years | 35.3 years |
| Median Income | $42,880 | $42,279 |
| Married Families | 25.0% | 37.0% |
| Poverty Level | 15% | Data is updating |
| Unemployment Rate | 4.2 | 3.1 |
Population Comparison: Kelseyville vs Seneca
- In Kelseyville, the population is higher at 3,828, compared to 2,284 in Seneca.
- The median age in Seneca is higher at 35.3 years, compared to 29.4 years in Kelseyville.
- Kelseyville has a higher median income of $42,880 compared to $42,279 in Seneca.
- In Seneca, the percentage of married families is higher at 37.0%, compared to 25.0% in Kelseyville.
- Kelseyville has a higher poverty level at 15% compared to 0% in Seneca.
- The unemployment rate in Kelseyville is higher at 4.2%, compared to 3.1% in Seneca.
Demographics
Demographics Kelseyville vs Seneca provide insight into the diversity of the communities to compare.
| Demographic | Kelseyville | Seneca |
|---|---|---|
| Black | 2 | Data is updating |
| White | 14 | 87 |
| Asian | Data is updating | Data is updating |
| Hispanic | 68 | 3 |
| Two or More Races | 16 | 7 |
| American Indian | Data is updating | 3 |
Demographics Comparison: Kelseyville vs Seneca
- A higher percentage of Black residents are in Kelseyville at 2% compared to 0% in Seneca.
- The percentage of White residents is higher in Seneca at 87% compared to 14% in Kelseyville.
- Both Kelseyville and Seneca have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Kelseyville at 68% compared to 3% in Seneca.
- More residents identify as two or more races in Kelseyville at 16% compared to 7% in Seneca.
- In Seneca, the percentage of American Indian residents is higher at 3%, compared to 0% in Kelseyville.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Kelseyville | Seneca |
|---|---|---|
| Mental Health Not Good | 18.2% | 19.3% |
| Physical Health Not Good | 13.6% | 14.1% |
| Depression | 21.5% | 27.1% |
| Smoking | 16.1% | 24.5% |
| Binge Drinking | 16.5% | 16.7% |
| Obesity | 34.1% | 42.3% |
| Disability Percentage | 15.0% | 20.0% |
Health Statistics Comparison: Kelseyville vs Seneca
- In Seneca, a higher percentage report poor mental health at 19.3% compared to 18.2% in Kelseyville.
- Higher depression rates are seen in Seneca at 27.1% versus 21.5% in Kelseyville.
- Seneca has a higher smoking rate at 24.5% compared to 16.1% in Kelseyville.
- More residents engage in binge drinking in Seneca at 16.7% compared to 16.5% in Kelseyville.
- Seneca has higher obesity rates at 42.3% compared to 34.1% in Kelseyville.
- There is a higher percentage of disabled individuals in Seneca at 20.0% 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 | Kelseyville | Seneca |
|---|---|---|
| No Schooling | 1.4% (54) | 0.1% (3) |
| High School Diploma | 19.0% (726) | 18.0% (411) |
| Less than High School | 32.8% (1,256) | 14.9% (340) |
| Bachelor's Degree and Higher | 7.2% (275) | 7.4% (170) |
Education Levels Comparison: Kelseyville vs Seneca
- A higher percentage of residents in Kelseyville have no formal schooling at 1.4% compared to 0.1% in Seneca.
- A higher percentage of residents in Kelseyville hold a high school diploma at 19.0% compared to 18.0% in Seneca.
- More residents in Kelseyville have less than a high school education at 32.8% compared to 14.9% in Seneca.
- In Seneca, a larger share of residents have a bachelor's degree or higher at 7.4% 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.