Demographics details for Jefferson, OR vs Pinehurst, TX
Population Overview
Compare main population characteristics in Jefferson, OR vs Pinehurst, TX.
| Data | Jefferson | Pinehurst |
|---|---|---|
| Population | 3,304 | 4,109 |
| Median Age | 31.7 years | 38.6 years |
| Median Income | $87,604 | $56,032 |
| Married Families | 39.0% | 39.0% |
| Poverty Level | 10% | 8% |
| Unemployment Rate | 3.5 | 5.2 |
Population Comparison: Jefferson vs Pinehurst
- The population in Pinehurst is higher at 4,109, compared to 3,304 in Jefferson.
- The median age in Pinehurst is higher at 38.6 years, compared to 31.7 years in Jefferson.
- Jefferson has a higher median income of $87,604 compared to $56,032 in Pinehurst.
- The percentage of married families is the same in both Jefferson and Pinehurst at 39.0%.
- Jefferson has a higher poverty level at 10% compared to 8% in Pinehurst.
- Pinehurst has a higher unemployment rate at 5.2% compared to 3.5% in Jefferson.
Demographics
Demographics Jefferson vs Pinehurst provide insight into the diversity of the communities to compare.
| Demographic | Jefferson | Pinehurst |
|---|---|---|
| Black | 2 | 2 |
| White | 67 | 61 |
| Asian | Data is updating | Data is updating |
| Hispanic | 20 | 27 |
| Two or More Races | 10 | 10 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Jefferson vs Pinehurst
- The percentage of Black residents is the same in both Jefferson and Pinehurst at 2%.
- Jefferson has a higher percentage of White residents at 67% compared to 61% in Pinehurst.
- Both Jefferson and Pinehurst have the same percentage of Asian residents at 0%.
- Pinehurst has a higher percentage of Hispanic residents at 27%, compared to 20% in Jefferson.
- Both Jefferson and Pinehurst have the same percentage of residents identifying as two or more races at 10%.
- A greater percentage of American Indian residents live in Jefferson at 1% compared to 0% in Pinehurst.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Jefferson | Pinehurst |
|---|---|---|
| Mental Health Not Good | 18.4% | 18.6% |
| Physical Health Not Good | 12.0% | 13.4% |
| Depression | 28.9% | 24.5% |
| Smoking | 16.5% | 20.1% |
| Binge Drinking | 16.4% | 17.2% |
| Obesity | 36.5% | 38.4% |
| Disability Percentage | 13.0% | 20.0% |
Health Statistics Comparison: Jefferson vs Pinehurst
- In Pinehurst, a higher percentage report poor mental health at 18.6% compared to 18.4% in Jefferson.
- Depression is more prevalent in Jefferson at 28.9% compared to 24.5% in Pinehurst.
- Pinehurst has a higher smoking rate at 20.1% compared to 16.5% in Jefferson.
- More residents engage in binge drinking in Pinehurst at 17.2% compared to 16.4% in Jefferson.
- Pinehurst has higher obesity rates at 38.4% compared to 36.5% in Jefferson.
- There is a higher percentage of disabled individuals in Pinehurst at 20.0% compared to 13.0% in Jefferson.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Jefferson | Pinehurst |
|---|---|---|
| No Schooling | 2.4% (78) | 1.1% (46) |
| High School Diploma | 13.0% (430) | 19.7% (808) |
| Less than High School | 13.9% (458) | 19.3% (792) |
| Bachelor's Degree and Higher | 11.0% (363) | 14.2% (585) |
Education Levels Comparison: Jefferson vs Pinehurst
- A higher percentage of residents in Jefferson have no formal schooling at 2.4% compared to 1.1% in Pinehurst.
- In Pinehurst, the rate of residents with high school diplomas is higher at 19.7% compared to 13.0% in Jefferson.
- The percentage of residents with less than a high school education is higher in Pinehurst at 19.3%, compared to 13.9% in Jefferson.
- In Pinehurst, a larger share of residents have a bachelor's degree or higher at 14.2% compared to 11.0% in Jefferson.
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.