Demographics details for Shunk, PA vs Norway, IA
Population Overview
Compare main population characteristics in Shunk, PA vs Norway, IA.
| Data | Shunk | Norway |
|---|---|---|
| Population | 88 | 466 |
| Median Age | 45.0 years | 48.3 years |
| Median Income | $60,000 | $90,000 |
| Married Families | 55.0% | 51.0% |
| Poverty Level | 10% | Data is updating |
| Unemployment Rate | 5.0 | 2.5 |
Population Comparison: Shunk vs Norway
- The population in Norway is higher at 466, compared to 88 in Shunk.
- The median age in Norway is higher at 48.3 years, compared to 45.0 years in Shunk.
- Norway has a higher median income of $90,000, compared to $60,000 in Shunk.
- A higher percentage of married families is found in Shunk at 55.0% compared to 51.0% in Norway.
- Shunk has a higher poverty level at 10% compared to 0% in Norway.
- The unemployment rate in Shunk is higher at 5.0%, compared to 2.5% in Norway.
Demographics
Demographics Shunk vs Norway provide insight into the diversity of the communities to compare.
| Demographic | Shunk | Norway |
|---|---|---|
| Black | Data is updating | Data is updating |
| White | 90 | 100 |
| Asian | Data is updating | Data is updating |
| Hispanic | 5 | Data is updating |
| Two or More Races | 5 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Shunk vs Norway
- The percentage of Black residents is the same in both Shunk and Norway at 0%.
- The percentage of White residents is higher in Norway at 100% compared to 90% in Shunk.
- Both Shunk and Norway have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Shunk at 5% compared to 0% in Norway.
- More residents identify as two or more races in Shunk at 5% compared to 0% in Norway.
- The percentage of American Indian residents is the same in both Shunk and Norway at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Shunk | Norway |
|---|---|---|
| Mental Health Not Good | Data is updating% | 14.2% |
| Physical Health Not Good | Data is updating% | 8.4% |
| Depression | Data is updating% | 17.5% |
| Smoking | Data is updating% | 14.7% |
| Binge Drinking | Data is updating% | 22.9% |
| Obesity | Data is updating% | 36.8% |
| Disability Percentage | Data is updating% | 13.0% |
Health Statistics Comparison: Shunk vs Norway
- In Norway, a higher percentage report poor mental health at 14.2% compared to 0.0% in Shunk.
- Higher depression rates are seen in Norway at 17.5% versus 0.0% in Shunk.
- Norway has a higher smoking rate at 14.7% compared to 0.0% in Shunk.
- More residents engage in binge drinking in Norway at 22.9% compared to 0.0% in Shunk.
- Norway has higher obesity rates at 36.8% compared to 0.0% in Shunk.
- There is a higher percentage of disabled individuals in Norway at 13.0% 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 | Norway |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
| High School Diploma | 0.0% (Data is updating) | 33.5% (156) |
| Less than High School | 0.0% (Data is updating) | 5.6% (26) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 10.5% (49) |
Education Levels Comparison: Shunk vs Norway
- The percentage of residents with no formal schooling is the same in both Shunk and Norway at 0.0%.
- In Norway, the rate of residents with high school diplomas is higher at 33.5% compared to 0.0% in Shunk.
- The percentage of residents with less than a high school education is higher in Norway at 5.6%, compared to 0.0% in Shunk.
- In Norway, a larger share of residents have a bachelor's degree or higher at 10.5% 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.