Demographics details for Golden city, MO vs Oakhurst, NJ
Population Overview
Compare main population characteristics in Golden city, MO vs Oakhurst, NJ.
| Data | Golden city | Oakhurst |
|---|---|---|
| Population | 654 | 3,912 |
| Median Age | 55.0 years | 37.0 years |
| Median Income | $37,679 | $130,313 |
| Married Families | 37.0% | 46.0% |
| Poverty Level | 10% | 3% |
| Unemployment Rate | 3.5 | 4.1 |
Population Comparison: Golden city vs Oakhurst
- The population in Oakhurst is higher at 3,912, compared to 654 in Golden city.
- Residents in Golden city have a higher median age of 55.0 years compared to 37.0 years in Oakhurst.
- Oakhurst has a higher median income of $130,313, compared to $37,679 in Golden city.
- In Oakhurst, the percentage of married families is higher at 46.0%, compared to 37.0% in Golden city.
- Golden city has a higher poverty level at 10% compared to 3% in Oakhurst.
- Oakhurst has a higher unemployment rate at 4.1% compared to 3.5% in Golden city.
Demographics
Demographics Golden city vs Oakhurst provide insight into the diversity of the communities to compare.
| Demographic | Golden city | Oakhurst |
|---|---|---|
| Black | Data is updating | 5 |
| White | 89 | 78 |
| Asian | Data is updating | 1 |
| Hispanic | 3 | 4 |
| Two or More Races | 6 | 12 |
| American Indian | 2 | Data is updating |
Demographics Comparison: Golden city vs Oakhurst
- In Oakhurst, the percentage of Black residents is higher at 5% compared to 0% in Golden city.
- Golden city has a higher percentage of White residents at 89% compared to 78% in Oakhurst.
- In Oakhurst, the Asian population stands at 1%, greater than 0% in Golden city.
- Oakhurst has a higher percentage of Hispanic residents at 4%, compared to 3% in Golden city.
- The percentage of residents identifying as two or more races is higher in Oakhurst at 12%, compared to 6% in Golden city.
- A greater percentage of American Indian residents live in Golden city at 2% compared to 0% in Oakhurst.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Golden city | Oakhurst |
|---|---|---|
| Mental Health Not Good | 18.3% | 14.8% |
| Physical Health Not Good | 13.3% | 8.6% |
| Depression | 25.1% | 20.9% |
| Smoking | 22.9% | 12.4% |
| Binge Drinking | 18.0% | 19.8% |
| Obesity | 40.9% | 26.2% |
| Disability Percentage | 24.0% | 6.0% |
Health Statistics Comparison: Golden city vs Oakhurst
- More residents in Golden city report poor mental health at 18.3% compared to 14.8% in Oakhurst.
- Depression is more prevalent in Golden city at 25.1% compared to 20.9% in Oakhurst.
- Smoking is more prevalent in Golden city at 22.9% compared to 12.4% in Oakhurst.
- More residents engage in binge drinking in Oakhurst at 19.8% compared to 18.0% in Golden city.
- Obesity rates are higher in Golden city at 40.9% compared to 26.2% in Oakhurst.
- Disability percentages are higher in Golden city at 24.0% 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 | Golden city | Oakhurst |
|---|---|---|
| No Schooling | 2.6% (17) | 0.0% (1) |
| High School Diploma | 30.6% (200) | 13.8% (538) |
| Less than High School | 17.6% (115) | 3.6% (142) |
| Bachelor's Degree and Higher | 12.8% (84) | 28.5% (1,115) |
Education Levels Comparison: Golden city vs Oakhurst
- A higher percentage of residents in Golden city have no formal schooling at 2.6% compared to 0.0% in Oakhurst.
- A higher percentage of residents in Golden city hold a high school diploma at 30.6% compared to 13.8% in Oakhurst.
- More residents in Golden city have less than a high school education at 17.6% compared to 3.6% in Oakhurst.
- In Oakhurst, a larger share of residents have a bachelor's degree or higher at 28.5% compared to 12.8% in Golden city.
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.