Demographics details for Hoyt, KS vs Ohiopyle, PA
Population Overview
Compare main population characteristics in Hoyt, KS vs Ohiopyle, PA.
| Data | Hoyt | Ohiopyle |
|---|---|---|
| Population | 589 | 36 |
| Median Age | 40.0 years | 53.2 years |
| Median Income | $73,750 | $38,000 |
| Married Families | 56.0% | 81.0% |
| Poverty Level | 7% | Data is updating |
| Unemployment Rate | 3.2 | 3.2 |
Population Comparison: Hoyt vs Ohiopyle
- In Hoyt, the population is higher at 589, compared to 36 in Ohiopyle.
- The median age in Ohiopyle is higher at 53.2 years, compared to 40.0 years in Hoyt.
- Hoyt has a higher median income of $73,750 compared to $38,000 in Ohiopyle.
- In Ohiopyle, the percentage of married families is higher at 81.0%, compared to 56.0% in Hoyt.
- Hoyt has a higher poverty level at 7% compared to 0% in Ohiopyle.
- The unemployment rate is the same in both Hoyt and Ohiopyle at 3.2%.
Demographics
Demographics Hoyt vs Ohiopyle provide insight into the diversity of the communities to compare.
| Demographic | Hoyt | Ohiopyle |
|---|---|---|
| Black | Data is updating | Data is updating |
| White | 86 | 100 |
| Asian | 1 | Data is updating |
| Hispanic | 5 | Data is updating |
| Two or More Races | 4 | Data is updating |
| American Indian | 4 | Data is updating |
Demographics Comparison: Hoyt vs Ohiopyle
- The percentage of Black residents is the same in both Hoyt and Ohiopyle at 0%.
- The percentage of White residents is higher in Ohiopyle at 100% compared to 86% in Hoyt.
- The Asian population is larger in Hoyt at 1% compared to 0% in Ohiopyle.
- The Hispanic community is larger in Hoyt at 5% compared to 0% in Ohiopyle.
- More residents identify as two or more races in Hoyt at 4% compared to 0% in Ohiopyle.
- A greater percentage of American Indian residents live in Hoyt at 4% compared to 0% in Ohiopyle.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Hoyt | Ohiopyle |
|---|---|---|
| Mental Health Not Good | 15.8% | 18.7% |
| Physical Health Not Good | 9.8% | 13.1% |
| Depression | 22.2% | 25.2% |
| Smoking | 17.7% | 23.2% |
| Binge Drinking | 19.0% | 18.8% |
| Obesity | 39.5% | 36.5% |
| Disability Percentage | 14.0% | 44.0% |
Health Statistics Comparison: Hoyt vs Ohiopyle
- In Ohiopyle, a higher percentage report poor mental health at 18.7% compared to 15.8% in Hoyt.
- Higher depression rates are seen in Ohiopyle at 25.2% versus 22.2% in Hoyt.
- Ohiopyle has a higher smoking rate at 23.2% compared to 17.7% in Hoyt.
- Binge drinking is more common in Hoyt at 19.0% compared to 18.8% in Ohiopyle.
- Obesity rates are higher in Hoyt at 39.5% compared to 36.5% in Ohiopyle.
- There is a higher percentage of disabled individuals in Ohiopyle at 44.0% compared to 14.0% in Hoyt.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Hoyt | Ohiopyle |
|---|---|---|
| No Schooling | 0.5% (3) | 27.8% (10) |
| High School Diploma | 26.1% (154) | 30.6% (11) |
| Less than High School | 12.6% (74) | 55.6% (20) |
| Bachelor's Degree and Higher | 17.0% (100) | 25.0% (9) |
Education Levels Comparison: Hoyt vs Ohiopyle
- In Ohiopyle, a larger percentage of residents lack formal schooling at 27.8% compared to 0.5% in Hoyt.
- In Ohiopyle, the rate of residents with high school diplomas is higher at 30.6% compared to 26.1% in Hoyt.
- The percentage of residents with less than a high school education is higher in Ohiopyle at 55.6%, compared to 12.6% in Hoyt.
- In Ohiopyle, a larger share of residents have a bachelor's degree or higher at 25.0% compared to 17.0% in Hoyt.
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.