Demographics details for Berlin, NJ vs Owingsville, KY
Population Overview
Compare main population characteristics in Berlin, NJ vs Owingsville, KY.
| Data | Berlin | Owingsville |
|---|---|---|
| Population | 7,506 | 1,587 |
| Median Age | 40.4 years | 38.1 years |
| Median Income | $98,706 | $38,255 |
| Married Families | 37.0% | 41.0% |
| Poverty Level | 5% | 15% |
| Unemployment Rate | 3.2 | 5.0 |
Population Comparison: Berlin vs Owingsville
- In Berlin, the population is higher at 7,506, compared to 1,587 in Owingsville.
- Residents in Berlin have a higher median age of 40.4 years compared to 38.1 years in Owingsville.
- Berlin has a higher median income of $98,706 compared to $38,255 in Owingsville.
- In Owingsville, the percentage of married families is higher at 41.0%, compared to 37.0% in Berlin.
- The poverty level is higher in Owingsville at 15%, compared to 5% in Berlin.
- Owingsville has a higher unemployment rate at 5.0% compared to 3.2% in Berlin.
Demographics
Demographics Berlin vs Owingsville provide insight into the diversity of the communities to compare.
| Demographic | Berlin | Owingsville |
|---|---|---|
| Black | 12 | 4 |
| White | 76 | 91 |
| Asian | 1 | Data is updating |
| Hispanic | 5 | 2 |
| Two or More Races | 6 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Berlin vs Owingsville
- A higher percentage of Black residents are in Berlin at 12% compared to 4% in Owingsville.
- The percentage of White residents is higher in Owingsville at 91% compared to 76% in Berlin.
- The Asian population is larger in Berlin at 1% compared to 0% in Owingsville.
- The Hispanic community is larger in Berlin at 5% compared to 2% in Owingsville.
- More residents identify as two or more races in Berlin at 6% compared to 3% in Owingsville.
- The percentage of American Indian residents is the same in both Berlin and Owingsville at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Berlin | Owingsville |
|---|---|---|
| Mental Health Not Good | 15.9% | 20.1% |
| Physical Health Not Good | 9.9% | 14.7% |
| Depression | 23.8% | 29.1% |
| Smoking | 14.6% | 24.0% |
| Binge Drinking | 19.5% | 15.4% |
| Obesity | 28.0% | 37.5% |
| Disability Percentage | 13.0% | 39.0% |
Health Statistics Comparison: Berlin vs Owingsville
- In Owingsville, a higher percentage report poor mental health at 20.1% compared to 15.9% in Berlin.
- Higher depression rates are seen in Owingsville at 29.1% versus 23.8% in Berlin.
- Owingsville has a higher smoking rate at 24.0% compared to 14.6% in Berlin.
- Binge drinking is more common in Berlin at 19.5% compared to 15.4% in Owingsville.
- Owingsville has higher obesity rates at 37.5% compared to 28.0% in Berlin.
- There is a higher percentage of disabled individuals in Owingsville at 39.0% compared to 13.0% in Berlin.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Berlin | Owingsville |
|---|---|---|
| No Schooling | 0.4% (27) | 1.1% (18) |
| High School Diploma | 17.0% (1,279) | 24.3% (386) |
| Less than High School | 8.2% (612) | 25.0% (396) |
| Bachelor's Degree and Higher | 22.7% (1,706) | 11.3% (180) |
Education Levels Comparison: Berlin vs Owingsville
- In Owingsville, a larger percentage of residents lack formal schooling at 1.1% compared to 0.4% in Berlin.
- In Owingsville, the rate of residents with high school diplomas is higher at 24.3% compared to 17.0% in Berlin.
- The percentage of residents with less than a high school education is higher in Owingsville at 25.0%, compared to 8.2% in Berlin.
- A higher percentage of residents in Berlin hold a bachelor's degree or higher at 22.7% 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.