Demographics details for Kelseyville, CA vs Mc clure, OH
Population Overview
Compare main population characteristics in Kelseyville, CA vs Mc clure, OH.
Data | Kelseyville | Mc clure |
---|---|---|
Population | 3,828 | 693 |
Median Age | 29.4 years | 30.5 years |
Median Income | $42,880 | $55,938 |
Married Families | 25.0% | 37.0% |
Poverty Level | 15% | 12% |
Unemployment Rate | 4.2 | 4.0 |
Population Comparison: Kelseyville vs Mc clure
- In Kelseyville, the population is higher at 3,828, compared to 693 in Mc clure.
- The median age in Mc clure is higher at 30.5 years, compared to 29.4 years in Kelseyville.
- Mc clure has a higher median income of $55,938, compared to $42,880 in Kelseyville.
- In Mc clure, 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 12% in Mc clure.
- The unemployment rate in Kelseyville is higher at 4.2%, compared to 4.0% in Mc clure.
Demographics
Demographics Kelseyville vs Mc clure provide insight into the diversity of the communities to compare.
Demographic | Kelseyville | Mc clure |
---|---|---|
Black | 2 | Data is updating |
White | 14 | 65 |
Asian | Data is updating | 4 |
Hispanic | 68 | 16 |
Two or More Races | 16 | 15 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Kelseyville vs Mc clure
- A higher percentage of Black residents are in Kelseyville at 2% compared to 0% in Mc clure.
- The percentage of White residents is higher in Mc clure at 65% compared to 14% in Kelseyville.
- In Mc clure, the Asian population stands at 4%, greater than 0% in Kelseyville.
- The Hispanic community is larger in Kelseyville at 68% compared to 16% in Mc clure.
- More residents identify as two or more races in Kelseyville at 16% compared to 15% in Mc clure.
- The percentage of American Indian residents is the same in both Kelseyville and Mc clure at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Kelseyville | Mc clure |
---|---|---|
Mental Health Not Good | 18.2% | 16.4% |
Physical Health Not Good | 13.6% | 10.5% |
Depression | 21.5% | 22.4% |
Smoking | 16.1% | 18.2% |
Binge Drinking | 16.5% | 19.9% |
Obesity | 34.1% | 40.2% |
Disability Percentage | 15.0% | 22.0% |
Health Statistics Comparison: Kelseyville vs Mc clure
- More residents in Kelseyville report poor mental health at 18.2% compared to 16.4% in Mc clure.
- Higher depression rates are seen in Mc clure at 22.4% versus 21.5% in Kelseyville.
- Mc clure has a higher smoking rate at 18.2% compared to 16.1% in Kelseyville.
- More residents engage in binge drinking in Mc clure at 19.9% compared to 16.5% in Kelseyville.
- Mc clure has higher obesity rates at 40.2% compared to 34.1% in Kelseyville.
- There is a higher percentage of disabled individuals in Mc clure 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 | Kelseyville | Mc clure |
---|---|---|
No Schooling | 1.4% (54) | 0.3% (2) |
High School Diploma | 19.0% (726) | 28.6% (198) |
Less than High School | 32.8% (1,256) | 17.7% (123) |
Bachelor's Degree and Higher | 7.2% (275) | 5.5% (38) |
Education Levels Comparison: Kelseyville vs Mc clure
- A higher percentage of residents in Kelseyville have no formal schooling at 1.4% compared to 0.3% in Mc clure.
- In Mc clure, the rate of residents with high school diplomas is higher at 28.6% compared to 19.0% in Kelseyville.
- More residents in Kelseyville have less than a high school education at 32.8% compared to 17.7% in Mc clure.
- A higher percentage of residents in Kelseyville hold a bachelor's degree or higher at 7.2% compared to 5.5% in Mc clure.
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.