Demographics details for Closter, NJ vs Goshen, NY
Population Overview
Compare main population characteristics in Closter, NJ vs Goshen, NY.
| Data | Closter | Goshen |
|---|---|---|
| Population | 8,514 | 14,094 |
| Median Age | 40.4 years | 38.0 years |
| Median Income | $181,652 | $86,000 |
| Married Families | 47.0% | 62.0% |
| Poverty Level | 2% | 8% |
| Unemployment Rate | 5.1 | 4.1 |
Population Comparison: Closter vs Goshen
- The population in Goshen is higher at 14,094, compared to 8,514 in Closter.
- Residents in Closter have a higher median age of 40.4 years compared to 38.0 years in Goshen.
- Closter has a higher median income of $181,652 compared to $86,000 in Goshen.
- In Goshen, the percentage of married families is higher at 62.0%, compared to 47.0% in Closter.
- The poverty level is higher in Goshen at 8%, compared to 2% in Closter.
- The unemployment rate in Closter is higher at 5.1%, compared to 4.1% in Goshen.
Demographics
Demographics Closter vs Goshen provide insight into the diversity of the communities to compare.
| Demographic | Closter | Goshen |
|---|---|---|
| Black | 3 | 5 |
| White | 44 | 85 |
| Asian | 35 | 3 |
| Hispanic | 8 | 5 |
| Two or More Races | 8 | 2 |
| American Indian | 2 | Data is updating |
Demographics Comparison: Closter vs Goshen
- In Goshen, the percentage of Black residents is higher at 5% compared to 3% in Closter.
- The percentage of White residents is higher in Goshen at 85% compared to 44% in Closter.
- The Asian population is larger in Closter at 35% compared to 3% in Goshen.
- The Hispanic community is larger in Closter at 8% compared to 5% in Goshen.
- More residents identify as two or more races in Closter at 8% compared to 2% in Goshen.
- A greater percentage of American Indian residents live in Closter at 2% compared to 0% in Goshen.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Closter | Goshen |
|---|---|---|
| Mental Health Not Good | 11.7% | Data is updating% |
| Physical Health Not Good | 6.9% | Data is updating% |
| Depression | 14.9% | Data is updating% |
| Smoking | 9.4% | Data is updating% |
| Binge Drinking | 16.0% | Data is updating% |
| Obesity | 21.2% | Data is updating% |
| Disability Percentage | 8.0% | Data is updating% |
Health Statistics Comparison: Closter vs Goshen
- More residents in Closter report poor mental health at 11.7% compared to 0.0% in Goshen.
- Depression is more prevalent in Closter at 14.9% compared to 0.0% in Goshen.
- Smoking is more prevalent in Closter at 9.4% compared to 0.0% in Goshen.
- Binge drinking is more common in Closter at 16.0% compared to 0.0% in Goshen.
- Obesity rates are higher in Closter at 21.2% compared to 0.0% in Goshen.
- Disability percentages are higher in Closter at 8.0% compared to 0.0% in Goshen.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Closter | Goshen |
|---|---|---|
| No Schooling | 0.6% (49) | 0.0% (Data is updating) |
| High School Diploma | 8.7% (744) | 0.0% (Data is updating) |
| Less than High School | 5.4% (457) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 44.4% (3,779) | 0.0% (Data is updating) |
Education Levels Comparison: Closter vs Goshen
- A higher percentage of residents in Closter have no formal schooling at 0.6% compared to 0.0% in Goshen.
- A higher percentage of residents in Closter hold a high school diploma at 8.7% compared to 0.0% in Goshen.
- More residents in Closter have less than a high school education at 5.4% compared to 0.0% in Goshen.
- A higher percentage of residents in Closter hold a bachelor's degree or higher at 44.4% compared to 0.0% in Goshen.
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.