Demographics details for Essex junction, VT vs Oxford, NJ
Population Overview
Compare main population characteristics in Essex junction, VT vs Oxford, NJ.
Data | Essex junction | Oxford |
---|---|---|
Population | 10,917 | 1,249 |
Median Age | 39.9 years | 43.1 years |
Median Income | $92,589 | $60,833 |
Married Families | 46.0% | 32.0% |
Poverty Level | 6% | 5% |
Unemployment Rate | 2.5 | 3.2 |
Population Comparison: Essex junction vs Oxford
- In Essex junction, the population is higher at 10,917, compared to 1,249 in Oxford.
- The median age in Oxford is higher at 43.1 years, compared to 39.9 years in Essex junction.
- Essex junction has a higher median income of $92,589 compared to $60,833 in Oxford.
- A higher percentage of married families is found in Essex junction at 46.0% compared to 32.0% in Oxford.
- Essex junction has a higher poverty level at 6% compared to 5% in Oxford.
- Oxford has a higher unemployment rate at 3.2% compared to 2.5% in Essex junction.
Demographics
Demographics Essex junction vs Oxford provide insight into the diversity of the communities to compare.
Demographic | Essex junction | Oxford |
---|---|---|
Black | 3 | 2 |
White | 79 | 77 |
Asian | 8 | 1 |
Hispanic | 2 | 16 |
Two or More Races | 8 | 4 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Essex junction vs Oxford
- A higher percentage of Black residents are in Essex junction at 3% compared to 2% in Oxford.
- Essex junction has a higher percentage of White residents at 79% compared to 77% in Oxford.
- The Asian population is larger in Essex junction at 8% compared to 1% in Oxford.
- Oxford has a higher percentage of Hispanic residents at 16%, compared to 2% in Essex junction.
- More residents identify as two or more races in Essex junction at 8% compared to 4% in Oxford.
- The percentage of American Indian residents is the same in both Essex junction and Oxford at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Essex junction | Oxford |
---|---|---|
Mental Health Not Good | 15.1% | 16.5% |
Physical Health Not Good | 8.1% | 10.7% |
Depression | 27.1% | 23.4% |
Smoking | 11.8% | 16.2% |
Binge Drinking | 20.9% | 18.9% |
Obesity | 26.4% | 31.2% |
Disability Percentage | 11.0% | 20.0% |
Health Statistics Comparison: Essex junction vs Oxford
- In Oxford, a higher percentage report poor mental health at 16.5% compared to 15.1% in Essex junction.
- Depression is more prevalent in Essex junction at 27.1% compared to 23.4% in Oxford.
- Oxford has a higher smoking rate at 16.2% compared to 11.8% in Essex junction.
- Binge drinking is more common in Essex junction at 20.9% compared to 18.9% in Oxford.
- Oxford has higher obesity rates at 31.2% compared to 26.4% in Essex junction.
- There is a higher percentage of disabled individuals in Oxford at 20.0% compared to 11.0% in Essex junction.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Essex junction | Oxford |
---|---|---|
No Schooling | 1.5% (162) | 0.5% (6) |
High School Diploma | 8.2% (899) | 29.1% (364) |
Less than High School | 8.8% (966) | 13.1% (164) |
Bachelor's Degree and Higher | 34.3% (3,742) | 21.3% (266) |
Education Levels Comparison: Essex junction vs Oxford
- A higher percentage of residents in Essex junction have no formal schooling at 1.5% compared to 0.5% in Oxford.
- In Oxford, the rate of residents with high school diplomas is higher at 29.1% compared to 8.2% in Essex junction.
- The percentage of residents with less than a high school education is higher in Oxford at 13.1%, compared to 8.8% in Essex junction.
- A higher percentage of residents in Essex junction hold a bachelor's degree or higher at 34.3% compared to 21.3% in Oxford.
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.