Demographics details for Shelton, CT vs Ohiopyle, PA
Population Overview
Compare main population characteristics in Shelton, CT vs Ohiopyle, PA.
| Data | Shelton | Ohiopyle |
|---|---|---|
| Population | 41,897 | 36 |
| Median Age | 44.6 years | 53.2 years |
| Median Income | $112,366 | $38,000 |
| Married Families | 46.0% | 81.0% |
| Poverty Level | 5% | Data is updating |
| Unemployment Rate | 2.8 | 3.2 |
Population Comparison: Shelton vs Ohiopyle
- In Shelton, the population is higher at 41,897, compared to 36 in Ohiopyle.
- The median age in Ohiopyle is higher at 53.2 years, compared to 44.6 years in Shelton.
- Shelton has a higher median income of $112,366 compared to $38,000 in Ohiopyle.
- In Ohiopyle, the percentage of married families is higher at 81.0%, compared to 46.0% in Shelton.
- Shelton has a higher poverty level at 5% compared to 0% in Ohiopyle.
- Ohiopyle has a higher unemployment rate at 3.2% compared to 2.8% in Shelton.
Demographics
Demographics Shelton vs Ohiopyle provide insight into the diversity of the communities to compare.
| Demographic | Shelton | Ohiopyle |
|---|---|---|
| Black | 5 | Data is updating |
| White | 66 | 100 |
| Asian | 9 | Data is updating |
| Hispanic | 12 | Data is updating |
| Two or More Races | 7 | Data is updating |
| American Indian | 1 | Data is updating |
Demographics Comparison: Shelton vs Ohiopyle
- A higher percentage of Black residents are in Shelton at 5% compared to 0% in Ohiopyle.
- The percentage of White residents is higher in Ohiopyle at 100% compared to 66% in Shelton.
- The Asian population is larger in Shelton at 9% compared to 0% in Ohiopyle.
- The Hispanic community is larger in Shelton at 12% compared to 0% in Ohiopyle.
- More residents identify as two or more races in Shelton at 7% compared to 0% in Ohiopyle.
- A greater percentage of American Indian residents live in Shelton at 1% compared to 0% in Ohiopyle.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Shelton | Ohiopyle |
|---|---|---|
| Mental Health Not Good | 13.8% | 18.7% |
| Physical Health Not Good | 8.4% | 13.1% |
| Depression | 19.1% | 25.2% |
| Smoking | 11.6% | 23.2% |
| Binge Drinking | 18.1% | 18.8% |
| Obesity | 23.3% | 36.5% |
| Disability Percentage | 10.0% | 44.0% |
Health Statistics Comparison: Shelton vs Ohiopyle
- In Ohiopyle, a higher percentage report poor mental health at 18.7% compared to 13.8% in Shelton.
- Higher depression rates are seen in Ohiopyle at 25.2% versus 19.1% in Shelton.
- Ohiopyle has a higher smoking rate at 23.2% compared to 11.6% in Shelton.
- More residents engage in binge drinking in Ohiopyle at 18.8% compared to 18.1% in Shelton.
- Ohiopyle has higher obesity rates at 36.5% compared to 23.3% in Shelton.
- There is a higher percentage of disabled individuals in Ohiopyle at 44.0% compared to 10.0% in Shelton.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Shelton | Ohiopyle |
|---|---|---|
| No Schooling | 1.0% (429) | 27.8% (10) |
| High School Diploma | 16.3% (6,845) | 30.6% (11) |
| Less than High School | 8.2% (3,415) | 55.6% (20) |
| Bachelor's Degree and Higher | 31.9% (13,379) | 25.0% (9) |
Education Levels Comparison: Shelton vs Ohiopyle
- In Ohiopyle, a larger percentage of residents lack formal schooling at 27.8% compared to 1.0% in Shelton.
- In Ohiopyle, the rate of residents with high school diplomas is higher at 30.6% compared to 16.3% in Shelton.
- The percentage of residents with less than a high school education is higher in Ohiopyle at 55.6%, compared to 8.2% in Shelton.
- A higher percentage of residents in Shelton hold a bachelor's degree or higher at 31.9% compared to 25.0% in Ohiopyle.
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.