Demographics details for Shell lake, WI vs Pittsburgh, PA
Population Overview
Compare main population characteristics in Shell lake, WI vs Pittsburgh, PA.
| Data | Shell lake | Pittsburgh |
|---|---|---|
| Population | 1,384 | 302,898 |
| Median Age | 42.8 years | 33.5 years |
| Median Income | $52,500 | $60,187 |
| Married Families | 47.0% | 26.0% |
| Poverty Level | 8% | 15% |
| Unemployment Rate | 3.5 | 3.4 |
Population Comparison: Shell lake vs Pittsburgh
- The population in Pittsburgh is higher at 302,898, compared to 1,384 in Shell lake.
- Residents in Shell lake have a higher median age of 42.8 years compared to 33.5 years in Pittsburgh.
- Pittsburgh has a higher median income of $60,187, compared to $52,500 in Shell lake.
- A higher percentage of married families is found in Shell lake at 47.0% compared to 26.0% in Pittsburgh.
- The poverty level is higher in Pittsburgh at 15%, compared to 8% in Shell lake.
- The unemployment rate in Shell lake is higher at 3.5%, compared to 3.4% in Pittsburgh.
Demographics
Demographics Shell lake vs Pittsburgh provide insight into the diversity of the communities to compare.
| Demographic | Shell lake | Pittsburgh |
|---|---|---|
| Black | 1 | 23 |
| White | 90 | 62 |
| Asian | 1 | 6 |
| Hispanic | Data is updating | 4 |
| Two or More Races | 6 | 5 |
| American Indian | 2 | Data is updating |
Demographics Comparison: Shell lake vs Pittsburgh
- In Pittsburgh, the percentage of Black residents is higher at 23% compared to 1% in Shell lake.
- Shell lake has a higher percentage of White residents at 90% compared to 62% in Pittsburgh.
- In Pittsburgh, the Asian population stands at 6%, greater than 1% in Shell lake.
- Pittsburgh has a higher percentage of Hispanic residents at 4%, compared to 0% in Shell lake.
- More residents identify as two or more races in Shell lake at 6% compared to 5% in Pittsburgh.
- A greater percentage of American Indian residents live in Shell lake at 2% compared to 0% in Pittsburgh.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Shell lake | Pittsburgh |
|---|---|---|
| Mental Health Not Good | 15.7% | 16.3% |
| Physical Health Not Good | 10.2% | 11.7% |
| Depression | 24.8% | 21.1% |
| Smoking | 16.9% | 18.8% |
| Binge Drinking | 23.5% | 19.3% |
| Obesity | 33.7% | 35.0% |
| Disability Percentage | 23.0% | 14.0% |
Health Statistics Comparison: Shell lake vs Pittsburgh
- In Pittsburgh, a higher percentage report poor mental health at 16.3% compared to 15.7% in Shell lake.
- Depression is more prevalent in Shell lake at 24.8% compared to 21.1% in Pittsburgh.
- Pittsburgh has a higher smoking rate at 18.8% compared to 16.9% in Shell lake.
- Binge drinking is more common in Shell lake at 23.5% compared to 19.3% in Pittsburgh.
- Pittsburgh has higher obesity rates at 35.0% compared to 33.7% in Shell lake.
- Disability percentages are higher in Shell lake at 23.0% compared to 14.0% in Pittsburgh.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Shell lake | Pittsburgh |
|---|---|---|
| No Schooling | 0.7% (9) | 0.6% (1,955) |
| High School Diploma | 18.9% (261) | 13.9% (42,015) |
| Less than High School | 11.4% (158) | 6.6% (20,087) |
| Bachelor's Degree and Higher | 21.3% (295) | 32.1% (97,219) |
Education Levels Comparison: Shell lake vs Pittsburgh
- A higher percentage of residents in Shell lake have no formal schooling at 0.7% compared to 0.6% in Pittsburgh.
- A higher percentage of residents in Shell lake hold a high school diploma at 18.9% compared to 13.9% in Pittsburgh.
- More residents in Shell lake have less than a high school education at 11.4% compared to 6.6% in Pittsburgh.
- In Pittsburgh, a larger share of residents have a bachelor's degree or higher at 32.1% compared to 21.3% in Shell lake.
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.