Demographics details for Kelseyville, CA vs Florence, OR
Population Overview
Compare main population characteristics in Kelseyville, CA vs Florence, OR.
| Data | Kelseyville | Florence |
|---|---|---|
| Population | 3,828 | 9,376 |
| Median Age | 29.4 years | 57.7 years |
| Median Income | $42,880 | $57,568 |
| Married Families | 25.0% | 42.0% |
| Poverty Level | 15% | 10% |
| Unemployment Rate | 4.2 | 4.5 |
Population Comparison: Kelseyville vs Florence
- The population in Florence is higher at 9,376, compared to 3,828 in Kelseyville.
- The median age in Florence is higher at 57.7 years, compared to 29.4 years in Kelseyville.
- Florence has a higher median income of $57,568, compared to $42,880 in Kelseyville.
- In Florence, the percentage of married families is higher at 42.0%, compared to 25.0% in Kelseyville.
- Kelseyville has a higher poverty level at 15% compared to 10% in Florence.
- Florence has a higher unemployment rate at 4.5% compared to 4.2% in Kelseyville.
Demographics
Demographics Kelseyville vs Florence provide insight into the diversity of the communities to compare.
| Demographic | Kelseyville | Florence |
|---|---|---|
| Black | 2 | 2 |
| White | 14 | 87 |
| Asian | Data is updating | 2 |
| Hispanic | 68 | 5 |
| Two or More Races | 16 | 3 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Kelseyville vs Florence
- The percentage of Black residents is the same in both Kelseyville and Florence at 2%.
- The percentage of White residents is higher in Florence at 87% compared to 14% in Kelseyville.
- In Florence, the Asian population stands at 2%, greater than 0% in Kelseyville.
- The Hispanic community is larger in Kelseyville at 68% compared to 5% in Florence.
- More residents identify as two or more races in Kelseyville at 16% compared to 3% in Florence.
- In Florence, the percentage of American Indian residents is higher at 1%, compared to 0% in Kelseyville.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Kelseyville | Florence |
|---|---|---|
| Mental Health Not Good | 18.2% | 19.8% |
| Physical Health Not Good | 13.6% | 13.1% |
| Depression | 21.5% | 29.2% |
| Smoking | 16.1% | 16.7% |
| Binge Drinking | 16.5% | 17.0% |
| Obesity | 34.1% | 36.0% |
| Disability Percentage | 15.0% | 25.0% |
Health Statistics Comparison: Kelseyville vs Florence
- In Florence, a higher percentage report poor mental health at 19.8% compared to 18.2% in Kelseyville.
- Higher depression rates are seen in Florence at 29.2% versus 21.5% in Kelseyville.
- Florence has a higher smoking rate at 16.7% compared to 16.1% in Kelseyville.
- More residents engage in binge drinking in Florence at 17.0% compared to 16.5% in Kelseyville.
- Florence has higher obesity rates at 36.0% compared to 34.1% in Kelseyville.
- There is a higher percentage of disabled individuals in Florence at 25.0% 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 | Florence |
|---|---|---|
| No Schooling | 1.4% (54) | 0.4% (35) |
| High School Diploma | 19.0% (726) | 14.2% (1,331) |
| Less than High School | 32.8% (1,256) | 15.6% (1,467) |
| Bachelor's Degree and Higher | 7.2% (275) | 19.9% (1,865) |
Education Levels Comparison: Kelseyville vs Florence
- A higher percentage of residents in Kelseyville have no formal schooling at 1.4% compared to 0.4% in Florence.
- A higher percentage of residents in Kelseyville hold a high school diploma at 19.0% compared to 14.2% in Florence.
- More residents in Kelseyville have less than a high school education at 32.8% compared to 15.6% in Florence.
- In Florence, a larger share of residents have a bachelor's degree or higher at 19.9% 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.