Demographics details for Berlin, NJ vs Rayland, OH
Population Overview
Compare main population characteristics in Berlin, NJ vs Rayland, OH.
| Data | Berlin | Rayland |
|---|---|---|
| Population | 7,506 | 384 |
| Median Age | 40.4 years | 48.5 years |
| Median Income | $98,706 | $56,875 |
| Married Families | 37.0% | 46.0% |
| Poverty Level | 5% | 16% |
| Unemployment Rate | 3.2 | 4.5 |
Population Comparison: Berlin vs Rayland
- In Berlin, the population is higher at 7,506, compared to 384 in Rayland.
- The median age in Rayland is higher at 48.5 years, compared to 40.4 years in Berlin.
- Berlin has a higher median income of $98,706 compared to $56,875 in Rayland.
- In Rayland, the percentage of married families is higher at 46.0%, compared to 37.0% in Berlin.
- The poverty level is higher in Rayland at 16%, compared to 5% in Berlin.
- Rayland has a higher unemployment rate at 4.5% compared to 3.2% in Berlin.
Demographics
Demographics Berlin vs Rayland provide insight into the diversity of the communities to compare.
| Demographic | Berlin | Rayland |
|---|---|---|
| Black | 12 | Data is updating |
| White | 76 | 98 |
| Asian | 1 | Data is updating |
| Hispanic | 5 | Data is updating |
| Two or More Races | 6 | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Berlin vs Rayland
- A higher percentage of Black residents are in Berlin at 12% compared to 0% in Rayland.
- The percentage of White residents is higher in Rayland at 98% compared to 76% in Berlin.
- The Asian population is larger in Berlin at 1% compared to 0% in Rayland.
- The Hispanic community is larger in Berlin at 5% compared to 0% in Rayland.
- More residents identify as two or more races in Berlin at 6% compared to 2% in Rayland.
- The percentage of American Indian residents is the same in both Berlin and Rayland at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Berlin | Rayland |
|---|---|---|
| Mental Health Not Good | 15.9% | 19.8% |
| Physical Health Not Good | 9.9% | 13.6% |
| Depression | 23.8% | 25.8% |
| Smoking | 14.6% | 25.7% |
| Binge Drinking | 19.5% | 18.0% |
| Obesity | 28.0% | 41.8% |
| Disability Percentage | 13.0% | 24.0% |
Health Statistics Comparison: Berlin vs Rayland
- In Rayland, a higher percentage report poor mental health at 19.8% compared to 15.9% in Berlin.
- Higher depression rates are seen in Rayland at 25.8% versus 23.8% in Berlin.
- Rayland has a higher smoking rate at 25.7% compared to 14.6% in Berlin.
- Binge drinking is more common in Berlin at 19.5% compared to 18.0% in Rayland.
- Rayland has higher obesity rates at 41.8% compared to 28.0% in Berlin.
- There is a higher percentage of disabled individuals in Rayland at 24.0% 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 | Rayland |
|---|---|---|
| No Schooling | 0.4% (27) | 1.0% (4) |
| High School Diploma | 17.0% (1,279) | 35.4% (136) |
| Less than High School | 8.2% (612) | 9.9% (38) |
| Bachelor's Degree and Higher | 22.7% (1,706) | 7.3% (28) |
Education Levels Comparison: Berlin vs Rayland
- In Rayland, a larger percentage of residents lack formal schooling at 1.0% compared to 0.4% in Berlin.
- In Rayland, the rate of residents with high school diplomas is higher at 35.4% compared to 17.0% in Berlin.
- The percentage of residents with less than a high school education is higher in Rayland at 9.9%, 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 7.3% in Rayland.
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.