Demographics details for Owingsville, KY vs Clifton, NJ
Population Overview
Compare main population characteristics in Owingsville, KY vs Clifton, NJ.
Data | Owingsville | Clifton |
---|---|---|
Population | 1,587 | 88,709 |
Median Age | 38.1 years | 40.2 years |
Median Income | $38,255 | $94,179 |
Married Families | 41.0% | 40.0% |
Poverty Level | 15% | 7% |
Unemployment Rate | 5.0 | 4.9 |
Population Comparison: Owingsville vs Clifton
- The population in Clifton is higher at 88,709, compared to 1,587 in Owingsville.
- The median age in Clifton is higher at 40.2 years, compared to 38.1 years in Owingsville.
- Clifton has a higher median income of $94,179, compared to $38,255 in Owingsville.
- A higher percentage of married families is found in Owingsville at 41.0% compared to 40.0% in Clifton.
- Owingsville has a higher poverty level at 15% compared to 7% in Clifton.
- The unemployment rate in Owingsville is higher at 5.0%, compared to 4.9% in Clifton.
Demographics
Demographics Owingsville vs Clifton provide insight into the diversity of the communities to compare.
Demographic | Owingsville | Clifton |
---|---|---|
Black | 4 | 5 |
White | 91 | 34 |
Asian | Data is updating | 9 |
Hispanic | 2 | 39 |
Two or More Races | 3 | 13 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Owingsville vs Clifton
- In Clifton, the percentage of Black residents is higher at 5% compared to 4% in Owingsville.
- Owingsville has a higher percentage of White residents at 91% compared to 34% in Clifton.
- In Clifton, the Asian population stands at 9%, greater than 0% in Owingsville.
- Clifton has a higher percentage of Hispanic residents at 39%, compared to 2% in Owingsville.
- The percentage of residents identifying as two or more races is higher in Clifton at 13%, compared to 3% in Owingsville.
- The percentage of American Indian residents is the same in both Owingsville and Clifton at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Owingsville | Clifton |
---|---|---|
Mental Health Not Good | 20.1% | 14.4% |
Physical Health Not Good | 14.7% | 10.1% |
Depression | 29.1% | 16.7% |
Smoking | 24.0% | 12.0% |
Binge Drinking | 15.4% | 17.1% |
Obesity | 37.5% | 28.2% |
Disability Percentage | 39.0% | 11.0% |
Health Statistics Comparison: Owingsville vs Clifton
- More residents in Owingsville report poor mental health at 20.1% compared to 14.4% in Clifton.
- Depression is more prevalent in Owingsville at 29.1% compared to 16.7% in Clifton.
- Smoking is more prevalent in Owingsville at 24.0% compared to 12.0% in Clifton.
- More residents engage in binge drinking in Clifton at 17.1% compared to 15.4% in Owingsville.
- Obesity rates are higher in Owingsville at 37.5% compared to 28.2% in Clifton.
- Disability percentages are higher in Owingsville at 39.0% compared to 11.0% in Clifton.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Owingsville | Clifton |
---|---|---|
No Schooling | 1.1% (18) | 2.2% (1,937) |
High School Diploma | 24.3% (386) | 21.1% (18,683) |
Less than High School | 25.0% (396) | 14.9% (13,251) |
Bachelor's Degree and Higher | 11.3% (180) | 24.9% (22,116) |
Education Levels Comparison: Owingsville vs Clifton
- In Clifton, a larger percentage of residents lack formal schooling at 2.2% compared to 1.1% in Owingsville.
- A higher percentage of residents in Owingsville hold a high school diploma at 24.3% compared to 21.1% in Clifton.
- More residents in Owingsville have less than a high school education at 25.0% compared to 14.9% in Clifton.
- In Clifton, a larger share of residents have a bachelor's degree or higher at 24.9% 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.