Demographics details for Kelseyville, CA vs Dieterich, IL
Population Overview
Compare main population characteristics in Kelseyville, CA vs Dieterich, IL.
Data | Kelseyville | Dieterich |
---|---|---|
Population | 3,828 | 875 |
Median Age | 29.4 years | 31.5 years |
Median Income | $42,880 | $74,375 |
Married Families | 25.0% | 50.0% |
Poverty Level | 15% | 5% |
Unemployment Rate | 4.2 | 3.0 |
Population Comparison: Kelseyville vs Dieterich
- In Kelseyville, the population is higher at 3,828, compared to 875 in Dieterich.
- The median age in Dieterich is higher at 31.5 years, compared to 29.4 years in Kelseyville.
- Dieterich has a higher median income of $74,375, compared to $42,880 in Kelseyville.
- In Dieterich, the percentage of married families is higher at 50.0%, compared to 25.0% in Kelseyville.
- Kelseyville has a higher poverty level at 15% compared to 5% in Dieterich.
- The unemployment rate in Kelseyville is higher at 4.2%, compared to 3.0% in Dieterich.
Demographics
Demographics Kelseyville vs Dieterich provide insight into the diversity of the communities to compare.
Demographic | Kelseyville | Dieterich |
---|---|---|
Black | 2 | Data is updating |
White | 14 | 97 |
Asian | Data is updating | 1 |
Hispanic | 68 | Data is updating |
Two or More Races | 16 | 2 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Kelseyville vs Dieterich
- A higher percentage of Black residents are in Kelseyville at 2% compared to 0% in Dieterich.
- The percentage of White residents is higher in Dieterich at 97% compared to 14% in Kelseyville.
- In Dieterich, the Asian population stands at 1%, greater than 0% in Kelseyville.
- The Hispanic community is larger in Kelseyville at 68% compared to 0% in Dieterich.
- More residents identify as two or more races in Kelseyville at 16% compared to 2% in Dieterich.
- The percentage of American Indian residents is the same in both Kelseyville and Dieterich at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Kelseyville | Dieterich |
---|---|---|
Mental Health Not Good | 18.2% | 15.4% |
Physical Health Not Good | 13.6% | 9.9% |
Depression | 21.5% | 21.3% |
Smoking | 16.1% | 15.9% |
Binge Drinking | 16.5% | 19.1% |
Obesity | 34.1% | 34.3% |
Disability Percentage | 15.0% | 12.0% |
Health Statistics Comparison: Kelseyville vs Dieterich
- More residents in Kelseyville report poor mental health at 18.2% compared to 15.4% in Dieterich.
- Depression is more prevalent in Kelseyville at 21.5% compared to 21.3% in Dieterich.
- Smoking is more prevalent in Kelseyville at 16.1% compared to 15.9% in Dieterich.
- More residents engage in binge drinking in Dieterich at 19.1% compared to 16.5% in Kelseyville.
- Dieterich has higher obesity rates at 34.3% compared to 34.1% in Kelseyville.
- Disability percentages are higher in Kelseyville at 15.0% compared to 12.0% in Dieterich.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Kelseyville | Dieterich |
---|---|---|
No Schooling | 1.4% (54) | 4.2% (37) |
High School Diploma | 19.0% (726) | 12.5% (109) |
Less than High School | 32.8% (1,256) | 21.0% (184) |
Bachelor's Degree and Higher | 7.2% (275) | 21.6% (189) |
Education Levels Comparison: Kelseyville vs Dieterich
- In Dieterich, a larger percentage of residents lack formal schooling at 4.2% compared to 1.4% in Kelseyville.
- A higher percentage of residents in Kelseyville hold a high school diploma at 19.0% compared to 12.5% in Dieterich.
- More residents in Kelseyville have less than a high school education at 32.8% compared to 21.0% in Dieterich.
- In Dieterich, a larger share of residents have a bachelor's degree or higher at 21.6% 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.