Demographics details for Goshen, NY vs Linden, PA
Population Overview
Compare main population characteristics in Goshen, NY vs Linden, PA.
| Data | Goshen | Linden |
|---|---|---|
| Population | 14,094 | 700 |
| Median Age | 38.0 years | 36.0 years |
| Median Income | $86,000 | $50,000 |
| Married Families | 62.0% | 150.0% |
| Poverty Level | 8% | 10% |
| Unemployment Rate | 4.1 | 5.0 |
Population Comparison: Goshen vs Linden
- In Goshen, the population is higher at 14,094, compared to 700 in Linden.
- Residents in Goshen have a higher median age of 38.0 years compared to 36.0 years in Linden.
- Goshen has a higher median income of $86,000 compared to $50,000 in Linden.
- In Linden, the percentage of married families is higher at 150.0%, compared to 62.0% in Goshen.
- The poverty level is higher in Linden at 10%, compared to 8% in Goshen.
- Linden has a higher unemployment rate at 5.0% compared to 4.1% in Goshen.
Demographics
Demographics Goshen vs Linden provide insight into the diversity of the communities to compare.
| Demographic | Goshen | Linden |
|---|---|---|
| Black | 5 | 5 |
| White | 85 | 85 |
| Asian | 3 | 5 |
| Hispanic | 5 | Data is updating |
| Two or More Races | 2 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Goshen vs Linden
- The percentage of Black residents is the same in both Goshen and Linden at 5%.
- The percentage of White residents is the same in both Goshen and Linden at 85%.
- In Linden, the Asian population stands at 5%, greater than 3% in Goshen.
- The Hispanic community is larger in Goshen at 5% compared to 0% in Linden.
- The percentage of residents identifying as two or more races is higher in Linden at 5%, compared to 2% in Goshen.
- The percentage of American Indian residents is the same in both Goshen and Linden at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Goshen | Linden |
|---|---|---|
| Mental Health Not Good | Data is updating% | Data is updating% |
| Physical Health Not Good | Data is updating% | Data is updating% |
| Depression | Data is updating% | Data is updating% |
| Smoking | Data is updating% | Data is updating% |
| Binge Drinking | Data is updating% | Data is updating% |
| Obesity | Data is updating% | Data is updating% |
| Disability Percentage | Data is updating% | Data is updating% |
Health Statistics Comparison: Goshen vs Linden
- Poor mental health levels are equal in both Goshen and Linden at 0.0%.
- Both cities have comparable depression rates at 0.0%.
- Smoking rates are the same in both Goshen and Linden at 0.0%.
- Binge drinking rates are similar in both Goshen and Linden at 0.0%.
- Both cities have the same obesity rates at 0.0%.
- Disability percentages are the same in both Goshen and Linden at 0.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Goshen | Linden |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
| High School Diploma | 0.0% (Data is updating) | 0.0% (Data is updating) |
| Less than High School | 0.0% (Data is updating) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 0.0% (Data is updating) |
Education Levels Comparison: Goshen vs Linden
- The percentage of residents with no formal schooling is the same in both Goshen and Linden at 0.0%.
- Both cities have the same percentage of residents with high school diplomas at 0.0%.
- Both cities report the same percentage of residents with less than a high school education at 0.0%.
- The percentage of residents with a bachelor's degree or higher is identical in both Goshen and Linden at 0.0%.
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.