Demographics details for Ashton, WV vs Pine, AZ
Population Overview
Compare main population characteristics in Ashton, WV vs Pine, AZ.
| Data | Ashton | Pine |
|---|---|---|
| Population | 200 | 1,526 |
| Median Age | 38.0 years | 68.7 years |
| Median Income | $50,000 | $54,720 |
| Married Families | 50.0% | 64.0% |
| Poverty Level | 10% | 10% |
| Unemployment Rate | 5.0 | 4.2 |
Population Comparison: Ashton vs Pine
- The population in Pine is higher at 1,526, compared to 200 in Ashton.
- The median age in Pine is higher at 68.7 years, compared to 38.0 years in Ashton.
- Pine has a higher median income of $54,720, compared to $50,000 in Ashton.
- In Pine, the percentage of married families is higher at 64.0%, compared to 50.0% in Ashton.
- The poverty level is identical in both Ashton and Pine at 10%.
- The unemployment rate in Ashton is higher at 5.0%, compared to 4.2% in Pine.
Demographics
Demographics Ashton vs Pine provide insight into the diversity of the communities to compare.
| Demographic | Ashton | Pine |
|---|---|---|
| Black | Data is updating | Data is updating |
| White | 95 | 96 |
| Asian | 2 | Data is updating |
| Hispanic | 1 | 4 |
| Two or More Races | 2 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Ashton vs Pine
- The percentage of Black residents is the same in both Ashton and Pine at 0%.
- The percentage of White residents is higher in Pine at 96% compared to 95% in Ashton.
- The Asian population is larger in Ashton at 2% compared to 0% in Pine.
- Pine has a higher percentage of Hispanic residents at 4%, compared to 1% in Ashton.
- More residents identify as two or more races in Ashton at 2% compared to 0% in Pine.
- The percentage of American Indian residents is the same in both Ashton and Pine at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Ashton | Pine |
|---|---|---|
| Mental Health Not Good | Data is updating% | 16.5% |
| Physical Health Not Good | Data is updating% | 9.8% |
| Depression | Data is updating% | 20.3% |
| Smoking | Data is updating% | 15.0% |
| Binge Drinking | Data is updating% | 21.2% |
| Obesity | Data is updating% | 31.2% |
| Disability Percentage | Data is updating% | 36.0% |
Health Statistics Comparison: Ashton vs Pine
- In Pine, a higher percentage report poor mental health at 16.5% compared to 0.0% in Ashton.
- Higher depression rates are seen in Pine at 20.3% versus 0.0% in Ashton.
- Pine has a higher smoking rate at 15.0% compared to 0.0% in Ashton.
- More residents engage in binge drinking in Pine at 21.2% compared to 0.0% in Ashton.
- Pine has higher obesity rates at 31.2% compared to 0.0% in Ashton.
- There is a higher percentage of disabled individuals in Pine at 36.0% compared to 0.0% in Ashton.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Ashton | Pine |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
| High School Diploma | 0.0% (Data is updating) | 21.5% (328) |
| Less than High School | 0.0% (Data is updating) | 3.8% (58) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 26.6% (406) |
Education Levels Comparison: Ashton vs Pine
- The percentage of residents with no formal schooling is the same in both Ashton and Pine at 0.0%.
- In Pine, the rate of residents with high school diplomas is higher at 21.5% compared to 0.0% in Ashton.
- The percentage of residents with less than a high school education is higher in Pine at 3.8%, compared to 0.0% in Ashton.
- In Pine, a larger share of residents have a bachelor's degree or higher at 26.6% compared to 0.0% in Ashton.
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.