Demographics details for Goshen, NY vs Lyndhurst, NJ
Population Overview
Compare main population characteristics in Goshen, NY vs Lyndhurst, NJ.
| Data | Goshen | Lyndhurst |
|---|---|---|
| Population | 14,094 | 22,580 |
| Median Age | 38.0 years | 45.0 years |
| Median Income | $86,000 | $105,000 |
| Married Families | 62.0% | 50.0% |
| Poverty Level | 8% | 6% |
| Unemployment Rate | 4.1 | 4.0 |
Population Comparison: Goshen vs Lyndhurst
- The population in Lyndhurst is higher at 22,580, compared to 14,094 in Goshen.
- The median age in Lyndhurst is higher at 45.0 years, compared to 38.0 years in Goshen.
- Lyndhurst has a higher median income of $105,000, compared to $86,000 in Goshen.
- A higher percentage of married families is found in Goshen at 62.0% compared to 50.0% in Lyndhurst.
- Goshen has a higher poverty level at 8% compared to 6% in Lyndhurst.
- The unemployment rate in Goshen is higher at 4.1%, compared to 4.0% in Lyndhurst.
Demographics
Demographics Goshen vs Lyndhurst provide insight into the diversity of the communities to compare.
| Demographic | Goshen | Lyndhurst |
|---|---|---|
| Black | 5 | 10 |
| White | 85 | 70 |
| Asian | 3 | 10 |
| Hispanic | 5 | 10 |
| Two or More Races | 2 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Goshen vs Lyndhurst
- In Lyndhurst, the percentage of Black residents is higher at 10% compared to 5% in Goshen.
- Goshen has a higher percentage of White residents at 85% compared to 70% in Lyndhurst.
- In Lyndhurst, the Asian population stands at 10%, greater than 3% in Goshen.
- Lyndhurst has a higher percentage of Hispanic residents at 10%, compared to 5% in Goshen.
- More residents identify as two or more races in Goshen at 2% compared to 0% in Lyndhurst.
- The percentage of American Indian residents is the same in both Goshen and Lyndhurst at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Goshen | Lyndhurst |
|---|---|---|
| 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 Lyndhurst
- Poor mental health levels are equal in both Goshen and Lyndhurst at 0.0%.
- Both cities have comparable depression rates at 0.0%.
- Smoking rates are the same in both Goshen and Lyndhurst at 0.0%.
- Binge drinking rates are similar in both Goshen and Lyndhurst at 0.0%.
- Both cities have the same obesity rates at 0.0%.
- Disability percentages are the same in both Goshen and Lyndhurst at 0.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Goshen | Lyndhurst |
|---|---|---|
| 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 Lyndhurst
- The percentage of residents with no formal schooling is the same in both Goshen and Lyndhurst 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 Lyndhurst 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.