Demographics details for Keyser, WV vs Berlin, NJ
Population Overview
Compare main population characteristics in Keyser, WV vs Berlin, NJ.
| Data | Keyser | Berlin |
|---|---|---|
| Population | 4,849 | 7,506 |
| Median Age | 39.1 years | 40.4 years |
| Median Income | $46,724 | $98,706 |
| Married Families | 36.0% | 37.0% |
| Poverty Level | 15% | 5% |
| Unemployment Rate | 4.3 | 3.2 |
Population Comparison: Keyser vs Berlin
- The population in Berlin is higher at 7,506, compared to 4,849 in Keyser.
- The median age in Berlin is higher at 40.4 years, compared to 39.1 years in Keyser.
- Berlin has a higher median income of $98,706, compared to $46,724 in Keyser.
- In Berlin, the percentage of married families is higher at 37.0%, compared to 36.0% in Keyser.
- Keyser has a higher poverty level at 15% compared to 5% in Berlin.
- The unemployment rate in Keyser is higher at 4.3%, compared to 3.2% in Berlin.
Demographics
Demographics Keyser vs Berlin provide insight into the diversity of the communities to compare.
| Demographic | Keyser | Berlin |
|---|---|---|
| Black | 4 | 12 |
| White | 95 | 76 |
| Asian | Data is updating | 1 |
| Hispanic | Data is updating | 5 |
| Two or More Races | 1 | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Keyser vs Berlin
- In Berlin, the percentage of Black residents is higher at 12% compared to 4% in Keyser.
- Keyser has a higher percentage of White residents at 95% compared to 76% in Berlin.
- In Berlin, the Asian population stands at 1%, greater than 0% in Keyser.
- Berlin has a higher percentage of Hispanic residents at 5%, compared to 0% in Keyser.
- The percentage of residents identifying as two or more races is higher in Berlin at 6%, compared to 1% in Keyser.
- The percentage of American Indian residents is the same in both Keyser and Berlin at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Keyser | Berlin |
|---|---|---|
| Mental Health Not Good | 20.0% | 15.9% |
| Physical Health Not Good | 13.6% | 9.9% |
| Depression | 27.3% | 23.8% |
| Smoking | 20.8% | 14.6% |
| Binge Drinking | 14.4% | 19.5% |
| Obesity | 35.3% | 28.0% |
| Disability Percentage | 20.0% | 13.0% |
Health Statistics Comparison: Keyser vs Berlin
- More residents in Keyser report poor mental health at 20.0% compared to 15.9% in Berlin.
- Depression is more prevalent in Keyser at 27.3% compared to 23.8% in Berlin.
- Smoking is more prevalent in Keyser at 20.8% compared to 14.6% in Berlin.
- More residents engage in binge drinking in Berlin at 19.5% compared to 14.4% in Keyser.
- Obesity rates are higher in Keyser at 35.3% compared to 28.0% in Berlin.
- Disability percentages are higher in Keyser at 20.0% 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 | Keyser | Berlin |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.4% (27) |
| High School Diploma | 22.3% (1,081) | 17.0% (1,279) |
| Less than High School | 15.1% (734) | 8.2% (612) |
| Bachelor's Degree and Higher | 18.8% (914) | 22.7% (1,706) |
Education Levels Comparison: Keyser vs Berlin
- In Berlin, a larger percentage of residents lack formal schooling at 0.4% compared to 0.0% in Keyser.
- A higher percentage of residents in Keyser hold a high school diploma at 22.3% compared to 17.0% in Berlin.
- More residents in Keyser have less than a high school education at 15.1% compared to 8.2% in Berlin.
- In Berlin, a larger share of residents have a bachelor's degree or higher at 22.7% compared to 18.8% in Keyser.
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.