Demographics details for Goshen, NY vs Orange, CA
Population Overview
Compare main population characteristics in Goshen, NY vs Orange, CA.
| Data | Goshen | Orange |
|---|---|---|
| Population | 14,094 | 136,178 |
| Median Age | 38.0 years | 36.5 years |
| Median Income | $86,000 | $109,335 |
| Married Families | 62.0% | 40.0% |
| Poverty Level | 8% | 9% |
| Unemployment Rate | 4.1 | 4.1 |
Population Comparison: Goshen vs Orange
- The population in Orange is higher at 136,178, compared to 14,094 in Goshen.
- Residents in Goshen have a higher median age of 38.0 years compared to 36.5 years in Orange.
- Orange has a higher median income of $109,335, compared to $86,000 in Goshen.
- A higher percentage of married families is found in Goshen at 62.0% compared to 40.0% in Orange.
- The poverty level is higher in Orange at 9%, compared to 8% in Goshen.
- The unemployment rate is the same in both Goshen and Orange at 4.1%.
Demographics
Demographics Goshen vs Orange provide insight into the diversity of the communities to compare.
| Demographic | Goshen | Orange |
|---|---|---|
| Black | 5 | 2 |
| White | 85 | 29 |
| Asian | 3 | 14 |
| Hispanic | 5 | 40 |
| Two or More Races | 2 | 14 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Goshen vs Orange
- A higher percentage of Black residents are in Goshen at 5% compared to 2% in Orange.
- Goshen has a higher percentage of White residents at 85% compared to 29% in Orange.
- In Orange, the Asian population stands at 14%, greater than 3% in Goshen.
- Orange has a higher percentage of Hispanic residents at 40%, compared to 5% in Goshen.
- The percentage of residents identifying as two or more races is higher in Orange at 14%, compared to 2% in Goshen.
- In Orange, the percentage of American Indian residents is higher at 1%, compared to 0% in Goshen.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Goshen | Orange |
|---|---|---|
| Mental Health Not Good | Data is updating% | 14.9% |
| Physical Health Not Good | Data is updating% | 10.2% |
| Depression | Data is updating% | 17.9% |
| Smoking | Data is updating% | 10.5% |
| Binge Drinking | Data is updating% | 16.8% |
| Obesity | Data is updating% | 27.1% |
| Disability Percentage | Data is updating% | 8.0% |
Health Statistics Comparison: Goshen vs Orange
- In Orange, a higher percentage report poor mental health at 14.9% compared to 0.0% in Goshen.
- Higher depression rates are seen in Orange at 17.9% versus 0.0% in Goshen.
- Orange has a higher smoking rate at 10.5% compared to 0.0% in Goshen.
- More residents engage in binge drinking in Orange at 16.8% compared to 0.0% in Goshen.
- Orange has higher obesity rates at 27.1% compared to 0.0% in Goshen.
- There is a higher percentage of disabled individuals in Orange 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 | Goshen | Orange |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.8% (2,483) |
| High School Diploma | 0.0% (Data is updating) | 11.0% (14,986) |
| Less than High School | 0.0% (Data is updating) | 15.5% (21,174) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 28.2% (38,372) |
Education Levels Comparison: Goshen vs Orange
- In Orange, a larger percentage of residents lack formal schooling at 1.8% compared to 0.0% in Goshen.
- In Orange, the rate of residents with high school diplomas is higher at 11.0% compared to 0.0% in Goshen.
- The percentage of residents with less than a high school education is higher in Orange at 15.5%, compared to 0.0% in Goshen.
- In Orange, a larger share of residents have a bachelor's degree or higher at 28.2% 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.