Demographics details for Pinehurst, TX vs Oceanside, CA
Population Overview
Compare main population characteristics in Pinehurst, TX vs Oceanside, CA.
| Data | Pinehurst | Oceanside |
|---|---|---|
| Population | 4,109 | 172,199 |
| Median Age | 38.6 years | 37.5 years |
| Median Income | $56,032 | $86,701 |
| Married Families | 39.0% | 41.0% |
| Poverty Level | 8% | 9% |
| Unemployment Rate | 5.2 | 4.6 |
Population Comparison: Pinehurst vs Oceanside
- The population in Oceanside is higher at 172,199, compared to 4,109 in Pinehurst.
- Residents in Pinehurst have a higher median age of 38.6 years compared to 37.5 years in Oceanside.
- Oceanside has a higher median income of $86,701, compared to $56,032 in Pinehurst.
- In Oceanside, the percentage of married families is higher at 41.0%, compared to 39.0% in Pinehurst.
- The poverty level is higher in Oceanside at 9%, compared to 8% in Pinehurst.
- The unemployment rate in Pinehurst is higher at 5.2%, compared to 4.6% in Oceanside.
Demographics
Demographics Pinehurst vs Oceanside provide insight into the diversity of the communities to compare.
| Demographic | Pinehurst | Oceanside |
|---|---|---|
| Black | 2 | 4 |
| White | 61 | 31 |
| Asian | Data is updating | 7 |
| Hispanic | 27 | 38 |
| Two or More Races | 10 | 19 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Pinehurst vs Oceanside
- In Oceanside, the percentage of Black residents is higher at 4% compared to 2% in Pinehurst.
- Pinehurst has a higher percentage of White residents at 61% compared to 31% in Oceanside.
- In Oceanside, the Asian population stands at 7%, greater than 0% in Pinehurst.
- Oceanside has a higher percentage of Hispanic residents at 38%, compared to 27% in Pinehurst.
- The percentage of residents identifying as two or more races is higher in Oceanside at 19%, compared to 10% in Pinehurst.
- In Oceanside, the percentage of American Indian residents is higher at 1%, compared to 0% in Pinehurst.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Pinehurst | Oceanside |
|---|---|---|
| Mental Health Not Good | 18.6% | 16.2% |
| Physical Health Not Good | 13.4% | 10.9% |
| Depression | 24.5% | 17.9% |
| Smoking | 20.1% | 11.7% |
| Binge Drinking | 17.2% | 18.9% |
| Obesity | 38.4% | 25.0% |
| Disability Percentage | 20.0% | 12.0% |
Health Statistics Comparison: Pinehurst vs Oceanside
- More residents in Pinehurst report poor mental health at 18.6% compared to 16.2% in Oceanside.
- Depression is more prevalent in Pinehurst at 24.5% compared to 17.9% in Oceanside.
- Smoking is more prevalent in Pinehurst at 20.1% compared to 11.7% in Oceanside.
- More residents engage in binge drinking in Oceanside at 18.9% compared to 17.2% in Pinehurst.
- Obesity rates are higher in Pinehurst at 38.4% compared to 25.0% in Oceanside.
- Disability percentages are higher in Pinehurst at 20.0% compared to 12.0% in Oceanside.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Pinehurst | Oceanside |
|---|---|---|
| No Schooling | 1.1% (46) | 1.7% (2,927) |
| High School Diploma | 19.7% (808) | 12.0% (20,662) |
| Less than High School | 19.3% (792) | 17.7% (30,528) |
| Bachelor's Degree and Higher | 14.2% (585) | 23.5% (40,490) |
Education Levels Comparison: Pinehurst vs Oceanside
- In Oceanside, a larger percentage of residents lack formal schooling at 1.7% compared to 1.1% in Pinehurst.
- A higher percentage of residents in Pinehurst hold a high school diploma at 19.7% compared to 12.0% in Oceanside.
- More residents in Pinehurst have less than a high school education at 19.3% compared to 17.7% in Oceanside.
- In Oceanside, a larger share of residents have a bachelor's degree or higher at 23.5% compared to 14.2% in Pinehurst.
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.