Demographics details for Shunk, PA vs Middle point, OH
Population Overview
Compare main population characteristics in Shunk, PA vs Middle point, OH.
Data | Shunk | Middle point |
---|---|---|
Population | 88 | 565 |
Median Age | 45.0 years | 37.0 years |
Median Income | $60,000 | $54,479 |
Married Families | 55.0% | 44.0% |
Poverty Level | 10% | 8% |
Unemployment Rate | 5.0 | 4.5 |
Population Comparison: Shunk vs Middle point
- The population in Middle point is higher at 565, compared to 88 in Shunk.
- Residents in Shunk have a higher median age of 45.0 years compared to 37.0 years in Middle point.
- Shunk has a higher median income of $60,000 compared to $54,479 in Middle point.
- A higher percentage of married families is found in Shunk at 55.0% compared to 44.0% in Middle point.
- Shunk has a higher poverty level at 10% compared to 8% in Middle point.
- The unemployment rate in Shunk is higher at 5.0%, compared to 4.5% in Middle point.
Demographics
Demographics Shunk vs Middle point provide insight into the diversity of the communities to compare.
Demographic | Shunk | Middle point |
---|---|---|
Black | Data is updating | Data is updating |
White | 90 | 99 |
Asian | Data is updating | Data is updating |
Hispanic | 5 | Data is updating |
Two or More Races | 5 | 1 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Shunk vs Middle point
- The percentage of Black residents is the same in both Shunk and Middle point at 0%.
- The percentage of White residents is higher in Middle point at 99% compared to 90% in Shunk.
- Both Shunk and Middle point have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Shunk at 5% compared to 0% in Middle point.
- More residents identify as two or more races in Shunk at 5% compared to 1% in Middle point.
- The percentage of American Indian residents is the same in both Shunk and Middle point at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Shunk | Middle point |
---|---|---|
Mental Health Not Good | Data is updating% | 16.7% |
Physical Health Not Good | Data is updating% | 10.5% |
Depression | Data is updating% | 23.4% |
Smoking | Data is updating% | 18.5% |
Binge Drinking | Data is updating% | 19.3% |
Obesity | Data is updating% | 41.8% |
Disability Percentage | Data is updating% | 12.0% |
Health Statistics Comparison: Shunk vs Middle point
- In Middle point, a higher percentage report poor mental health at 16.7% compared to 0.0% in Shunk.
- Higher depression rates are seen in Middle point at 23.4% versus 0.0% in Shunk.
- Middle point has a higher smoking rate at 18.5% compared to 0.0% in Shunk.
- More residents engage in binge drinking in Middle point at 19.3% compared to 0.0% in Shunk.
- Middle point has higher obesity rates at 41.8% compared to 0.0% in Shunk.
- There is a higher percentage of disabled individuals in Middle point at 12.0% compared to 0.0% in Shunk.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Shunk | Middle point |
---|---|---|
No Schooling | 0.0% (Data is updating) | 1.1% (6) |
High School Diploma | 0.0% (Data is updating) | 34.2% (193) |
Less than High School | 0.0% (Data is updating) | 13.1% (74) |
Bachelor's Degree and Higher | 0.0% (Data is updating) | 9.4% (53) |
Education Levels Comparison: Shunk vs Middle point
- In Middle point, a larger percentage of residents lack formal schooling at 1.1% compared to 0.0% in Shunk.
- In Middle point, the rate of residents with high school diplomas is higher at 34.2% compared to 0.0% in Shunk.
- The percentage of residents with less than a high school education is higher in Middle point at 13.1%, compared to 0.0% in Shunk.
- In Middle point, a larger share of residents have a bachelor's degree or higher at 9.4% compared to 0.0% in Shunk.
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.