Demographics details for Brownfield, TX vs Oakhurst, NJ
Population Overview
Compare main population characteristics in Brownfield, TX vs Oakhurst, NJ.
| Data | Brownfield | Oakhurst |
|---|---|---|
| Population | 8,717 | 3,912 |
| Median Age | 35.7 years | 37.0 years |
| Median Income | $41,228 | $130,313 |
| Married Families | 32.0% | 46.0% |
| Poverty Level | 10% | 3% |
| Unemployment Rate | 4.2 | 4.1 |
Population Comparison: Brownfield vs Oakhurst
- In Brownfield, the population is higher at 8,717, compared to 3,912 in Oakhurst.
- The median age in Oakhurst is higher at 37.0 years, compared to 35.7 years in Brownfield.
- Oakhurst has a higher median income of $130,313, compared to $41,228 in Brownfield.
- In Oakhurst, the percentage of married families is higher at 46.0%, compared to 32.0% in Brownfield.
- Brownfield has a higher poverty level at 10% compared to 3% in Oakhurst.
- The unemployment rate in Brownfield is higher at 4.2%, compared to 4.1% in Oakhurst.
Demographics
Demographics Brownfield vs Oakhurst provide insight into the diversity of the communities to compare.
| Demographic | Brownfield | Oakhurst |
|---|---|---|
| Black | 6 | 5 |
| White | 45 | 78 |
| Asian | Data is updating | 1 |
| Hispanic | 65 | 4 |
| Two or More Races | 30 | 12 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Brownfield vs Oakhurst
- A higher percentage of Black residents are in Brownfield at 6% compared to 5% in Oakhurst.
- The percentage of White residents is higher in Oakhurst at 78% compared to 45% in Brownfield.
- In Oakhurst, the Asian population stands at 1%, greater than 0% in Brownfield.
- The Hispanic community is larger in Brownfield at 65% compared to 4% in Oakhurst.
- More residents identify as two or more races in Brownfield at 30% compared to 12% in Oakhurst.
- The percentage of American Indian residents is the same in both Brownfield and Oakhurst at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Brownfield | Oakhurst |
|---|---|---|
| Mental Health Not Good | 19.0% | 14.8% |
| Physical Health Not Good | 15.7% | 8.6% |
| Depression | 23.8% | 20.9% |
| Smoking | 22.1% | 12.4% |
| Binge Drinking | 16.8% | 19.8% |
| Obesity | 43.5% | 26.2% |
| Disability Percentage | 16.0% | 6.0% |
Health Statistics Comparison: Brownfield vs Oakhurst
- More residents in Brownfield report poor mental health at 19.0% compared to 14.8% in Oakhurst.
- Depression is more prevalent in Brownfield at 23.8% compared to 20.9% in Oakhurst.
- Smoking is more prevalent in Brownfield at 22.1% compared to 12.4% in Oakhurst.
- More residents engage in binge drinking in Oakhurst at 19.8% compared to 16.8% in Brownfield.
- Obesity rates are higher in Brownfield at 43.5% compared to 26.2% in Oakhurst.
- Disability percentages are higher in Brownfield at 16.0% 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 | Brownfield | Oakhurst |
|---|---|---|
| No Schooling | 2.6% (229) | 0.0% (1) |
| High School Diploma | 18.9% (1,651) | 13.8% (538) |
| Less than High School | 31.1% (2,709) | 3.6% (142) |
| Bachelor's Degree and Higher | 5.4% (475) | 28.5% (1,115) |
Education Levels Comparison: Brownfield vs Oakhurst
- A higher percentage of residents in Brownfield have no formal schooling at 2.6% compared to 0.0% in Oakhurst.
- A higher percentage of residents in Brownfield hold a high school diploma at 18.9% compared to 13.8% in Oakhurst.
- More residents in Brownfield have less than a high school education at 31.1% 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 5.4% in Brownfield.
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.