Demographics details for Joy, IL vs Shunk, PA
Population Overview
Compare main population characteristics in Joy, IL vs Shunk, PA.
| Data | Joy | Shunk |
|---|---|---|
| Population | 362 | 88 |
| Median Age | 38.8 years | 45.0 years |
| Median Income | $65,625 | $60,000 |
| Married Families | 42.0% | 55.0% |
| Poverty Level | Data is updating | 10% |
| Unemployment Rate | 0.5 | 5.0 |
Population Comparison: Joy vs Shunk
- In Joy, the population is higher at 362, compared to 88 in Shunk.
- The median age in Shunk is higher at 45.0 years, compared to 38.8 years in Joy.
- Joy has a higher median income of $65,625 compared to $60,000 in Shunk.
- In Shunk, the percentage of married families is higher at 55.0%, compared to 42.0% in Joy.
- The poverty level is higher in Shunk at 10%, compared to 0% in Joy.
- Shunk has a higher unemployment rate at 5.0% compared to 0.5% in Joy.
Demographics
Demographics Joy vs Shunk provide insight into the diversity of the communities to compare.
| Demographic | Joy | Shunk |
|---|---|---|
| Black | Data is updating | Data is updating |
| White | 98 | 90 |
| Asian | Data is updating | Data is updating |
| Hispanic | 1 | 5 |
| Two or More Races | 1 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Joy vs Shunk
- The percentage of Black residents is the same in both Joy and Shunk at 0%.
- Joy has a higher percentage of White residents at 98% compared to 90% in Shunk.
- Both Joy and Shunk have the same percentage of Asian residents at 0%.
- Shunk has a higher percentage of Hispanic residents at 5%, compared to 1% in Joy.
- The percentage of residents identifying as two or more races is higher in Shunk at 5%, compared to 1% in Joy.
- The percentage of American Indian residents is the same in both Joy and Shunk at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Joy | Shunk |
|---|---|---|
| Mental Health Not Good | 17.4% | Data is updating% |
| Physical Health Not Good | 12.3% | Data is updating% |
| Depression | 22.6% | Data is updating% |
| Smoking | 20.6% | Data is updating% |
| Binge Drinking | 18.1% | Data is updating% |
| Obesity | 37.6% | Data is updating% |
| Disability Percentage | 21.0% | Data is updating% |
Health Statistics Comparison: Joy vs Shunk
- More residents in Joy report poor mental health at 17.4% compared to 0.0% in Shunk.
- Depression is more prevalent in Joy at 22.6% compared to 0.0% in Shunk.
- Smoking is more prevalent in Joy at 20.6% compared to 0.0% in Shunk.
- Binge drinking is more common in Joy at 18.1% compared to 0.0% in Shunk.
- Obesity rates are higher in Joy at 37.6% compared to 0.0% in Shunk.
- Disability percentages are higher in Joy at 21.0% 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 | Joy | Shunk |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
| High School Diploma | 37.0% (134) | 0.0% (Data is updating) |
| Less than High School | 14.9% (54) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 5.5% (20) | 0.0% (Data is updating) |
Education Levels Comparison: Joy vs Shunk
- The percentage of residents with no formal schooling is the same in both Joy and Shunk at 0.0%.
- A higher percentage of residents in Joy hold a high school diploma at 37.0% compared to 0.0% in Shunk.
- More residents in Joy have less than a high school education at 14.9% compared to 0.0% in Shunk.
- A higher percentage of residents in Joy hold a bachelor's degree or higher at 5.5% 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.