Demographics details for Wilmington, OH vs Kelseyville, CA
Population Overview
Compare main population characteristics in Wilmington, OH vs Kelseyville, CA.
Data | Wilmington | Kelseyville |
---|---|---|
Population | 12,656 | 3,828 |
Median Age | 36.5 years | 29.4 years |
Median Income | $48,407 | $42,880 |
Married Families | 31.0% | 25.0% |
Poverty Level | 12% | 15% |
Unemployment Rate | 5.2 | 4.2 |
Population Comparison: Wilmington vs Kelseyville
- In Wilmington, the population is higher at 12,656, compared to 3,828 in Kelseyville.
- Residents in Wilmington have a higher median age of 36.5 years compared to 29.4 years in Kelseyville.
- Wilmington has a higher median income of $48,407 compared to $42,880 in Kelseyville.
- A higher percentage of married families is found in Wilmington at 31.0% compared to 25.0% in Kelseyville.
- The poverty level is higher in Kelseyville at 15%, compared to 12% in Wilmington.
- The unemployment rate in Wilmington is higher at 5.2%, compared to 4.2% in Kelseyville.
Demographics
Demographics Wilmington vs Kelseyville provide insight into the diversity of the communities to compare.
Demographic | Wilmington | Kelseyville |
---|---|---|
Black | 5 | 2 |
White | 85 | 14 |
Asian | 2 | Data is updating |
Hispanic | 3 | 68 |
Two or More Races | 5 | 16 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Wilmington vs Kelseyville
- A higher percentage of Black residents are in Wilmington at 5% compared to 2% in Kelseyville.
- Wilmington has a higher percentage of White residents at 85% compared to 14% in Kelseyville.
- The Asian population is larger in Wilmington at 2% compared to 0% in Kelseyville.
- Kelseyville has a higher percentage of Hispanic residents at 68%, compared to 3% in Wilmington.
- The percentage of residents identifying as two or more races is higher in Kelseyville at 16%, compared to 5% in Wilmington.
- The percentage of American Indian residents is the same in both Wilmington and Kelseyville at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Wilmington | Kelseyville |
---|---|---|
Mental Health Not Good | 19.1% | 18.2% |
Physical Health Not Good | 13.1% | 13.6% |
Depression | 25.1% | 21.5% |
Smoking | 22.9% | 16.1% |
Binge Drinking | 16.7% | 16.5% |
Obesity | 43.0% | 34.1% |
Disability Percentage | 19.0% | 15.0% |
Health Statistics Comparison: Wilmington vs Kelseyville
- More residents in Wilmington report poor mental health at 19.1% compared to 18.2% in Kelseyville.
- Depression is more prevalent in Wilmington at 25.1% compared to 21.5% in Kelseyville.
- Smoking is more prevalent in Wilmington at 22.9% compared to 16.1% in Kelseyville.
- Binge drinking is more common in Wilmington at 16.7% compared to 16.5% in Kelseyville.
- Obesity rates are higher in Wilmington at 43.0% compared to 34.1% in Kelseyville.
- Disability percentages are higher in Wilmington at 19.0% 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 | Wilmington | Kelseyville |
---|---|---|
No Schooling | 1.4% (171) | 1.4% (54) |
High School Diploma | 21.3% (2,702) | 19.0% (726) |
Less than High School | 11.0% (1,394) | 32.8% (1,256) |
Bachelor's Degree and Higher | 13.9% (1,753) | 7.2% (275) |
Education Levels Comparison: Wilmington vs Kelseyville
- The percentage of residents with no formal schooling is the same in both Wilmington and Kelseyville at 1.4%.
- A higher percentage of residents in Wilmington hold a high school diploma at 21.3% 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 11.0% in Wilmington.
- A higher percentage of residents in Wilmington hold a bachelor's degree or higher at 13.9% 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.