Demographics details for Ohiopyle, PA vs Sierra vista, AZ
Population Overview
Compare main population characteristics in Ohiopyle, PA vs Sierra vista, AZ.
Data | Ohiopyle | Sierra vista |
---|---|---|
Population | 36 | 45,439 |
Median Age | 53.2 years | 37.0 years |
Median Income | $38,000 | $70,899 |
Married Families | 81.0% | 42.0% |
Poverty Level | Data is updating | 13% |
Unemployment Rate | 3.2 | 4.0 |
Population Comparison: Ohiopyle vs Sierra vista
- The population in Sierra vista is higher at 45,439, compared to 36 in Ohiopyle.
- Residents in Ohiopyle have a higher median age of 53.2 years compared to 37.0 years in Sierra vista.
- Sierra vista has a higher median income of $70,899, compared to $38,000 in Ohiopyle.
- A higher percentage of married families is found in Ohiopyle at 81.0% compared to 42.0% in Sierra vista.
- The poverty level is higher in Sierra vista at 13%, compared to 0% in Ohiopyle.
- Sierra vista has a higher unemployment rate at 4.0% compared to 3.2% in Ohiopyle.
Demographics
Demographics Ohiopyle vs Sierra vista provide insight into the diversity of the communities to compare.
Demographic | Ohiopyle | Sierra vista |
---|---|---|
Black | Data is updating | 8 |
White | 100 | 48 |
Asian | Data is updating | 4 |
Hispanic | Data is updating | 24 |
Two or More Races | Data is updating | 15 |
American Indian | Data is updating | 1 |
Demographics Comparison: Ohiopyle vs Sierra vista
- In Sierra vista, the percentage of Black residents is higher at 8% compared to 0% in Ohiopyle.
- Ohiopyle has a higher percentage of White residents at 100% compared to 48% in Sierra vista.
- In Sierra vista, the Asian population stands at 4%, greater than 0% in Ohiopyle.
- Sierra vista has a higher percentage of Hispanic residents at 24%, compared to 0% in Ohiopyle.
- The percentage of residents identifying as two or more races is higher in Sierra vista at 15%, compared to 0% in Ohiopyle.
- In Sierra vista, the percentage of American Indian residents is higher at 1%, compared to 0% in Ohiopyle.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Ohiopyle | Sierra vista |
---|---|---|
Mental Health Not Good | 18.7% | 15.4% |
Physical Health Not Good | 13.1% | 10.8% |
Depression | 25.2% | 20.8% |
Smoking | 23.2% | 15.8% |
Binge Drinking | 18.8% | 18.2% |
Obesity | 36.5% | 32.2% |
Disability Percentage | 44.0% | 14.0% |
Health Statistics Comparison: Ohiopyle vs Sierra vista
- More residents in Ohiopyle report poor mental health at 18.7% compared to 15.4% in Sierra vista.
- Depression is more prevalent in Ohiopyle at 25.2% compared to 20.8% in Sierra vista.
- Smoking is more prevalent in Ohiopyle at 23.2% compared to 15.8% in Sierra vista.
- Binge drinking is more common in Ohiopyle at 18.8% compared to 18.2% in Sierra vista.
- Obesity rates are higher in Ohiopyle at 36.5% compared to 32.2% in Sierra vista.
- Disability percentages are higher in Ohiopyle at 44.0% compared to 14.0% in Sierra vista.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Ohiopyle | Sierra vista |
---|---|---|
No Schooling | 27.8% (10) | 0.5% (224) |
High School Diploma | 30.6% (11) | 11.7% (5,296) |
Less than High School | 55.6% (20) | 8.2% (3,735) |
Bachelor's Degree and Higher | 25.0% (9) | 22.8% (10,354) |
Education Levels Comparison: Ohiopyle vs Sierra vista
- A higher percentage of residents in Ohiopyle have no formal schooling at 27.8% compared to 0.5% in Sierra vista.
- A higher percentage of residents in Ohiopyle hold a high school diploma at 30.6% compared to 11.7% in Sierra vista.
- More residents in Ohiopyle have less than a high school education at 55.6% compared to 8.2% in Sierra vista.
- A higher percentage of residents in Ohiopyle hold a bachelor's degree or higher at 25.0% compared to 22.8% in Sierra vista.
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.