Demographics details for Boyle, MS vs Oakhurst, NJ
Population Overview
Compare main population characteristics in Boyle, MS vs Oakhurst, NJ.
Data | Boyle | Oakhurst |
---|---|---|
Population | 499 | 3,912 |
Median Age | 36.7 years | 37.0 years |
Median Income | $33,750 | $130,313 |
Married Families | 25.0% | 46.0% |
Poverty Level | 20% | 3% |
Unemployment Rate | 4.5 | 4.1 |
Population Comparison: Boyle vs Oakhurst
- The population in Oakhurst is higher at 3,912, compared to 499 in Boyle.
- The median age in Oakhurst is higher at 37.0 years, compared to 36.7 years in Boyle.
- Oakhurst has a higher median income of $130,313, compared to $33,750 in Boyle.
- In Oakhurst, the percentage of married families is higher at 46.0%, compared to 25.0% in Boyle.
- Boyle has a higher poverty level at 20% compared to 3% in Oakhurst.
- The unemployment rate in Boyle is higher at 4.5%, compared to 4.1% in Oakhurst.
Demographics
Demographics Boyle vs Oakhurst provide insight into the diversity of the communities to compare.
Demographic | Boyle | Oakhurst |
---|---|---|
Black | 50 | 5 |
White | 50 | 78 |
Asian | Data is updating | 1 |
Hispanic | Data is updating | 4 |
Two or More Races | Data is updating | 12 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Boyle vs Oakhurst
- A higher percentage of Black residents are in Boyle at 50% compared to 5% in Oakhurst.
- The percentage of White residents is higher in Oakhurst at 78% compared to 50% in Boyle.
- In Oakhurst, the Asian population stands at 1%, greater than 0% in Boyle.
- Oakhurst has a higher percentage of Hispanic residents at 4%, compared to 0% in Boyle.
- The percentage of residents identifying as two or more races is higher in Oakhurst at 12%, compared to 0% in Boyle.
- The percentage of American Indian residents is the same in both Boyle and Oakhurst at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Boyle | Oakhurst |
---|---|---|
Mental Health Not Good | 17.4% | 14.8% |
Physical Health Not Good | 13.3% | 8.6% |
Depression | 20.4% | 20.9% |
Smoking | 20.5% | 12.4% |
Binge Drinking | 13.0% | 19.8% |
Obesity | 41.3% | 26.2% |
Disability Percentage | 48.0% | 6.0% |
Health Statistics Comparison: Boyle vs Oakhurst
- More residents in Boyle report poor mental health at 17.4% compared to 14.8% in Oakhurst.
- Higher depression rates are seen in Oakhurst at 20.9% versus 20.4% in Boyle.
- Smoking is more prevalent in Boyle at 20.5% compared to 12.4% in Oakhurst.
- More residents engage in binge drinking in Oakhurst at 19.8% compared to 13.0% in Boyle.
- Obesity rates are higher in Boyle at 41.3% compared to 26.2% in Oakhurst.
- Disability percentages are higher in Boyle at 48.0% compared to 6.0% in Oakhurst.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Boyle | Oakhurst |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.0% (1) |
High School Diploma | 16.2% (81) | 13.8% (538) |
Less than High School | 17.0% (85) | 3.6% (142) |
Bachelor's Degree and Higher | 41.7% (208) | 28.5% (1,115) |
Education Levels Comparison: Boyle vs Oakhurst
- The percentage of residents with no formal schooling is the same in both Boyle and Oakhurst at 0.0%.
- A higher percentage of residents in Boyle hold a high school diploma at 16.2% compared to 13.8% in Oakhurst.
- More residents in Boyle have less than a high school education at 17.0% compared to 3.6% in Oakhurst.
- A higher percentage of residents in Boyle hold a bachelor's degree or higher at 41.7% compared to 28.5% in Oakhurst.
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.