Demographics details for Pequannock, NJ vs Orange, CA
Population Overview
Compare main population characteristics in Pequannock, NJ vs Orange, CA.
| Data | Pequannock | Orange |
|---|---|---|
| Population | 15,561 | 136,178 |
| Median Age | 50.2 years | 36.5 years |
| Median Income | $114,757 | $109,335 |
| Married Families | 44.0% | 40.0% |
| Poverty Level | 5% | 9% |
| Unemployment Rate | 4.2 | 4.1 |
Population Comparison: Pequannock vs Orange
- The population in Orange is higher at 136,178, compared to 15,561 in Pequannock.
- Residents in Pequannock have a higher median age of 50.2 years compared to 36.5 years in Orange.
- Pequannock has a higher median income of $114,757 compared to $109,335 in Orange.
- A higher percentage of married families is found in Pequannock at 44.0% compared to 40.0% in Orange.
- The poverty level is higher in Orange at 9%, compared to 5% in Pequannock.
- The unemployment rate in Pequannock is higher at 4.2%, compared to 4.1% in Orange.
Demographics
Demographics Pequannock vs Orange provide insight into the diversity of the communities to compare.
| Demographic | Pequannock | Orange |
|---|---|---|
| Black | 1 | 2 |
| White | 83 | 29 |
| Asian | 2 | 14 |
| Hispanic | 9 | 40 |
| Two or More Races | 5 | 14 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Pequannock vs Orange
- In Orange, the percentage of Black residents is higher at 2% compared to 1% in Pequannock.
- Pequannock has a higher percentage of White residents at 83% compared to 29% in Orange.
- In Orange, the Asian population stands at 14%, greater than 2% in Pequannock.
- Orange has a higher percentage of Hispanic residents at 40%, compared to 9% in Pequannock.
- The percentage of residents identifying as two or more races is higher in Orange at 14%, compared to 5% in Pequannock.
- In Orange, the percentage of American Indian residents is higher at 1%, compared to 0% in Pequannock.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Pequannock | 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 | 17.0% | 8.0% |
Health Statistics Comparison: Pequannock vs Orange
- In Orange, a higher percentage report poor mental health at 14.9% compared to 0.0% in Pequannock.
- Higher depression rates are seen in Orange at 17.9% versus 0.0% in Pequannock.
- Orange has a higher smoking rate at 10.5% compared to 0.0% in Pequannock.
- More residents engage in binge drinking in Orange at 16.8% compared to 0.0% in Pequannock.
- Orange has higher obesity rates at 27.1% compared to 0.0% in Pequannock.
- Disability percentages are higher in Pequannock at 17.0% compared to 8.0% in Orange.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Pequannock | Orange |
|---|---|---|
| No Schooling | 0.5% (85) | 1.8% (2,483) |
| High School Diploma | 16.4% (2,548) | 11.0% (14,986) |
| Less than High School | 5.4% (836) | 15.5% (21,174) |
| Bachelor's Degree and Higher | 36.7% (5,705) | 28.2% (38,372) |
Education Levels Comparison: Pequannock vs Orange
- In Orange, a larger percentage of residents lack formal schooling at 1.8% compared to 0.5% in Pequannock.
- A higher percentage of residents in Pequannock hold a high school diploma at 16.4% compared to 11.0% in Orange.
- The percentage of residents with less than a high school education is higher in Orange at 15.5%, compared to 5.4% in Pequannock.
- A higher percentage of residents in Pequannock hold a bachelor's degree or higher at 36.7% compared to 28.2% in Orange.
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.