Demographics details for Millville, CA vs Owingsville, KY
Population Overview
Compare main population characteristics in Millville, CA vs Owingsville, KY.
Data | Millville | Owingsville |
---|---|---|
Population | 794 | 1,587 |
Median Age | 46.5 years | 38.1 years |
Median Income | $112,500 | $38,255 |
Married Families | 54.0% | 41.0% |
Poverty Level | 10% | 15% |
Unemployment Rate | 7.5 | 5.0 |
Population Comparison: Millville vs Owingsville
- The population in Owingsville is higher at 1,587, compared to 794 in Millville.
- Residents in Millville have a higher median age of 46.5 years compared to 38.1 years in Owingsville.
- Millville has a higher median income of $112,500 compared to $38,255 in Owingsville.
- A higher percentage of married families is found in Millville at 54.0% compared to 41.0% in Owingsville.
- The poverty level is higher in Owingsville at 15%, compared to 10% in Millville.
- The unemployment rate in Millville is higher at 7.5%, compared to 5.0% in Owingsville.
Demographics
Demographics Millville vs Owingsville provide insight into the diversity of the communities to compare.
Demographic | Millville | Owingsville |
---|---|---|
Black | Data is updating | 4 |
White | 87 | 91 |
Asian | Data is updating | Data is updating |
Hispanic | 6 | 2 |
Two or More Races | 7 | 3 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Millville vs Owingsville
- In Owingsville, the percentage of Black residents is higher at 4% compared to 0% in Millville.
- The percentage of White residents is higher in Owingsville at 91% compared to 87% in Millville.
- Both Millville and Owingsville have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Millville at 6% compared to 2% in Owingsville.
- More residents identify as two or more races in Millville at 7% compared to 3% in Owingsville.
- The percentage of American Indian residents is the same in both Millville and Owingsville at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Millville | Owingsville |
---|---|---|
Mental Health Not Good | 18.4% | 20.1% |
Physical Health Not Good | 11.8% | 14.7% |
Depression | 22.9% | 29.1% |
Smoking | 15.1% | 24.0% |
Binge Drinking | 18.0% | 15.4% |
Obesity | 31.0% | 37.5% |
Disability Percentage | 9.0% | 39.0% |
Health Statistics Comparison: Millville vs Owingsville
- In Owingsville, a higher percentage report poor mental health at 20.1% compared to 18.4% in Millville.
- Higher depression rates are seen in Owingsville at 29.1% versus 22.9% in Millville.
- Owingsville has a higher smoking rate at 24.0% compared to 15.1% in Millville.
- Binge drinking is more common in Millville at 18.0% compared to 15.4% in Owingsville.
- Owingsville has higher obesity rates at 37.5% compared to 31.0% in Millville.
- There is a higher percentage of disabled individuals in Owingsville at 39.0% compared to 9.0% in Millville.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Millville | Owingsville |
---|---|---|
No Schooling | 0.0% (Data is updating) | 1.1% (18) |
High School Diploma | 14.7% (117) | 24.3% (386) |
Less than High School | 4.5% (36) | 25.0% (396) |
Bachelor's Degree and Higher | 21.2% (168) | 11.3% (180) |
Education Levels Comparison: Millville vs Owingsville
- In Owingsville, a larger percentage of residents lack formal schooling at 1.1% compared to 0.0% in Millville.
- In Owingsville, the rate of residents with high school diplomas is higher at 24.3% compared to 14.7% in Millville.
- The percentage of residents with less than a high school education is higher in Owingsville at 25.0%, compared to 4.5% in Millville.
- A higher percentage of residents in Millville hold a bachelor's degree or higher at 21.2% compared to 11.3% in Owingsville.
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.