Demographics details for Wheeling, WV vs Pine hill, NY
Population Overview
Compare main population characteristics in Wheeling, WV vs Pine hill, NY.
| Data | Wheeling | Pine hill |
|---|---|---|
| Population | 26,391 | 360 |
| Median Age | 45.0 years | 55.5 years |
| Median Income | $46,516 | $81,181 |
| Married Families | 34.0% | 37.0% |
| Poverty Level | 18% | 8% |
| Unemployment Rate | 4.1 | 4.2 |
Population Comparison: Wheeling vs Pine hill
- In Wheeling, the population is higher at 26,391, compared to 360 in Pine hill.
- The median age in Pine hill is higher at 55.5 years, compared to 45.0 years in Wheeling.
- Pine hill has a higher median income of $81,181, compared to $46,516 in Wheeling.
- In Pine hill, the percentage of married families is higher at 37.0%, compared to 34.0% in Wheeling.
- Wheeling has a higher poverty level at 18% compared to 8% in Pine hill.
- Pine hill has a higher unemployment rate at 4.2% compared to 4.1% in Wheeling.
Demographics
Demographics Wheeling vs Pine hill provide insight into the diversity of the communities to compare.
| Demographic | Wheeling | Pine hill |
|---|---|---|
| Black | 4 | Data is updating |
| White | 90 | 57 |
| Asian | 1 | 40 |
| Hispanic | 1 | 2 |
| Two or More Races | 4 | 1 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Wheeling vs Pine hill
- A higher percentage of Black residents are in Wheeling at 4% compared to 0% in Pine hill.
- Wheeling has a higher percentage of White residents at 90% compared to 57% in Pine hill.
- In Pine hill, the Asian population stands at 40%, greater than 1% in Wheeling.
- Pine hill has a higher percentage of Hispanic residents at 2%, compared to 1% in Wheeling.
- More residents identify as two or more races in Wheeling at 4% compared to 1% in Pine hill.
- The percentage of American Indian residents is the same in both Wheeling and Pine hill at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Wheeling | Pine hill |
|---|---|---|
| Mental Health Not Good | 19.5% | 15.8% |
| Physical Health Not Good | 13.3% | 10.3% |
| Depression | 28.7% | 25.8% |
| Smoking | 21.0% | 15.9% |
| Binge Drinking | 14.4% | 19.4% |
| Obesity | 40.4% | 29.1% |
| Disability Percentage | 17.0% | 30.0% |
Health Statistics Comparison: Wheeling vs Pine hill
- More residents in Wheeling report poor mental health at 19.5% compared to 15.8% in Pine hill.
- Depression is more prevalent in Wheeling at 28.7% compared to 25.8% in Pine hill.
- Smoking is more prevalent in Wheeling at 21.0% compared to 15.9% in Pine hill.
- More residents engage in binge drinking in Pine hill at 19.4% compared to 14.4% in Wheeling.
- Obesity rates are higher in Wheeling at 40.4% compared to 29.1% in Pine hill.
- There is a higher percentage of disabled individuals in Pine hill at 30.0% compared to 17.0% in Wheeling.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Wheeling | Pine hill |
|---|---|---|
| No Schooling | 0.5% (130) | 0.0% (Data is updating) |
| High School Diploma | 22.3% (5,888) | 10.8% (39) |
| Less than High School | 10.1% (2,653) | 12.8% (46) |
| Bachelor's Degree and Higher | 23.5% (6,209) | 60.3% (217) |
Education Levels Comparison: Wheeling vs Pine hill
- A higher percentage of residents in Wheeling have no formal schooling at 0.5% compared to 0.0% in Pine hill.
- A higher percentage of residents in Wheeling hold a high school diploma at 22.3% compared to 10.8% in Pine hill.
- The percentage of residents with less than a high school education is higher in Pine hill at 12.8%, compared to 10.1% in Wheeling.
- In Pine hill, a larger share of residents have a bachelor's degree or higher at 60.3% compared to 23.5% in Wheeling.
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.