Demographics details for Shunk, PA vs Elm city, NC
Population Overview
Compare main population characteristics in Shunk, PA vs Elm city, NC.
| Data | Shunk | Elm city |
|---|---|---|
| Population | 88 | 1,204 |
| Median Age | 45.0 years | 48.0 years |
| Median Income | $60,000 | $48,125 |
| Married Families | 55.0% | 43.0% |
| Poverty Level | 10% | 15% |
| Unemployment Rate | 5.0 | 5.1 |
Population Comparison: Shunk vs Elm city
- The population in Elm city is higher at 1,204, compared to 88 in Shunk.
- The median age in Elm city is higher at 48.0 years, compared to 45.0 years in Shunk.
- Shunk has a higher median income of $60,000 compared to $48,125 in Elm city.
- A higher percentage of married families is found in Shunk at 55.0% compared to 43.0% in Elm city.
- The poverty level is higher in Elm city at 15%, compared to 10% in Shunk.
- Elm city has a higher unemployment rate at 5.1% compared to 5.0% in Shunk.
Demographics
Demographics Shunk vs Elm city provide insight into the diversity of the communities to compare.
| Demographic | Shunk | Elm city |
|---|---|---|
| Black | Data is updating | 60 |
| White | 90 | 25 |
| Asian | Data is updating | 3 |
| Hispanic | 5 | 11 |
| Two or More Races | 5 | 1 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Shunk vs Elm city
- In Elm city, the percentage of Black residents is higher at 60% compared to 0% in Shunk.
- Shunk has a higher percentage of White residents at 90% compared to 25% in Elm city.
- In Elm city, the Asian population stands at 3%, greater than 0% in Shunk.
- Elm city has a higher percentage of Hispanic residents at 11%, compared to 5% in Shunk.
- More residents identify as two or more races in Shunk at 5% compared to 1% in Elm city.
- The percentage of American Indian residents is the same in both Shunk and Elm city at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Shunk | Elm city |
|---|---|---|
| Mental Health Not Good | Data is updating% | 16.8% |
| Physical Health Not Good | Data is updating% | 12.0% |
| Depression | Data is updating% | 21.2% |
| Smoking | Data is updating% | 18.8% |
| Binge Drinking | Data is updating% | 15.7% |
| Obesity | Data is updating% | 37.9% |
| Disability Percentage | Data is updating% | 19.0% |
Health Statistics Comparison: Shunk vs Elm city
- In Elm city, a higher percentage report poor mental health at 16.8% compared to 0.0% in Shunk.
- Higher depression rates are seen in Elm city at 21.2% versus 0.0% in Shunk.
- Elm city has a higher smoking rate at 18.8% compared to 0.0% in Shunk.
- More residents engage in binge drinking in Elm city at 15.7% compared to 0.0% in Shunk.
- Elm city has higher obesity rates at 37.9% compared to 0.0% in Shunk.
- There is a higher percentage of disabled individuals in Elm city at 19.0% 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 | Elm city |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.7% (8) |
| High School Diploma | 0.0% (Data is updating) | 24.1% (290) |
| Less than High School | 0.0% (Data is updating) | 15.1% (182) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 11.5% (139) |
Education Levels Comparison: Shunk vs Elm city
- In Elm city, a larger percentage of residents lack formal schooling at 0.7% compared to 0.0% in Shunk.
- In Elm city, the rate of residents with high school diplomas is higher at 24.1% compared to 0.0% in Shunk.
- The percentage of residents with less than a high school education is higher in Elm city at 15.1%, compared to 0.0% in Shunk.
- In Elm city, a larger share of residents have a bachelor's degree or higher at 11.5% 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.