Demographics details for Berlin, NJ vs Poultney, VT
Population Overview
Compare main population characteristics in Berlin, NJ vs Poultney, VT.
| Data | Berlin | Poultney |
|---|---|---|
| Population | 7,506 | 3,270 |
| Median Age | 40.4 years | 39.0 years |
| Median Income | $98,706 | $52,607 |
| Married Families | 37.0% | Data is updating |
| Poverty Level | 5% | 11% |
| Unemployment Rate | 3.2 | 2.8 |
Population Comparison: Berlin vs Poultney
- In Berlin, the population is higher at 7,506, compared to 3,270 in Poultney.
- Residents in Berlin have a higher median age of 40.4 years compared to 39.0 years in Poultney.
- Berlin has a higher median income of $98,706 compared to $52,607 in Poultney.
- A higher percentage of married families is found in Berlin at 37.0% compared to 0.0% in Poultney.
- The poverty level is higher in Poultney at 11%, compared to 5% in Berlin.
- The unemployment rate in Berlin is higher at 3.2%, compared to 2.8% in Poultney.
Demographics
Demographics Berlin vs Poultney provide insight into the diversity of the communities to compare.
| Demographic | Berlin | Poultney |
|---|---|---|
| Black | 12 | 2 |
| White | 76 | 95 |
| Asian | 1 | Data is updating |
| Hispanic | 5 | 1 |
| Two or More Races | 6 | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Berlin vs Poultney
- A higher percentage of Black residents are in Berlin at 12% compared to 2% in Poultney.
- The percentage of White residents is higher in Poultney at 95% compared to 76% in Berlin.
- The Asian population is larger in Berlin at 1% compared to 0% in Poultney.
- The Hispanic community is larger in Berlin at 5% compared to 1% in Poultney.
- More residents identify as two or more races in Berlin at 6% compared to 2% in Poultney.
- The percentage of American Indian residents is the same in both Berlin and Poultney at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Berlin | Poultney |
|---|---|---|
| Mental Health Not Good | 15.9% | Data is updating% |
| Physical Health Not Good | 9.9% | Data is updating% |
| Depression | 23.8% | Data is updating% |
| Smoking | 14.6% | Data is updating% |
| Binge Drinking | 19.5% | Data is updating% |
| Obesity | 28.0% | Data is updating% |
| Disability Percentage | 13.0% | Data is updating% |
Health Statistics Comparison: Berlin vs Poultney
- More residents in Berlin report poor mental health at 15.9% compared to 0.0% in Poultney.
- Depression is more prevalent in Berlin at 23.8% compared to 0.0% in Poultney.
- Smoking is more prevalent in Berlin at 14.6% compared to 0.0% in Poultney.
- Binge drinking is more common in Berlin at 19.5% compared to 0.0% in Poultney.
- Obesity rates are higher in Berlin at 28.0% compared to 0.0% in Poultney.
- Disability percentages are higher in Berlin at 13.0% compared to 0.0% in Poultney.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Berlin | Poultney |
|---|---|---|
| No Schooling | 0.4% (27) | 0.0% (Data is updating) |
| High School Diploma | 17.0% (1,279) | 0.0% (Data is updating) |
| Less than High School | 8.2% (612) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 22.7% (1,706) | 0.0% (Data is updating) |
Education Levels Comparison: Berlin vs Poultney
- A higher percentage of residents in Berlin have no formal schooling at 0.4% compared to 0.0% in Poultney.
- A higher percentage of residents in Berlin hold a high school diploma at 17.0% compared to 0.0% in Poultney.
- More residents in Berlin have less than a high school education at 8.2% compared to 0.0% in Poultney.
- A higher percentage of residents in Berlin hold a bachelor's degree or higher at 22.7% compared to 0.0% in Poultney.
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.