Demographics details for Pittsburgh, PA vs Blue mounds, WI
Population Overview
Compare main population characteristics in Pittsburgh, PA vs Blue mounds, WI.
| Data | Pittsburgh | Blue mounds |
|---|---|---|
| Population | 302,898 | 924 |
| Median Age | 33.5 years | 37.0 years |
| Median Income | $60,187 | $71,094 |
| Married Families | 26.0% | 34.0% |
| Poverty Level | 15% | 8% |
| Unemployment Rate | 3.4 | 2.4 |
Population Comparison: Pittsburgh vs Blue mounds
- In Pittsburgh, the population is higher at 302,898, compared to 924 in Blue mounds.
- The median age in Blue mounds is higher at 37.0 years, compared to 33.5 years in Pittsburgh.
- Blue mounds has a higher median income of $71,094, compared to $60,187 in Pittsburgh.
- In Blue mounds, the percentage of married families is higher at 34.0%, compared to 26.0% in Pittsburgh.
- Pittsburgh has a higher poverty level at 15% compared to 8% in Blue mounds.
- The unemployment rate in Pittsburgh is higher at 3.4%, compared to 2.4% in Blue mounds.
Demographics
Demographics Pittsburgh vs Blue mounds provide insight into the diversity of the communities to compare.
| Demographic | Pittsburgh | Blue mounds |
|---|---|---|
| Black | 23 | 1 |
| White | 62 | 96 |
| Asian | 6 | Data is updating |
| Hispanic | 4 | 1 |
| Two or More Races | 5 | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Pittsburgh vs Blue mounds
- A higher percentage of Black residents are in Pittsburgh at 23% compared to 1% in Blue mounds.
- The percentage of White residents is higher in Blue mounds at 96% compared to 62% in Pittsburgh.
- The Asian population is larger in Pittsburgh at 6% compared to 0% in Blue mounds.
- The Hispanic community is larger in Pittsburgh at 4% compared to 1% in Blue mounds.
- More residents identify as two or more races in Pittsburgh at 5% compared to 2% in Blue mounds.
- The percentage of American Indian residents is the same in both Pittsburgh and Blue mounds at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Pittsburgh | Blue mounds |
|---|---|---|
| Mental Health Not Good | 16.3% | 13.4% |
| Physical Health Not Good | 11.7% | 7.8% |
| Depression | 21.1% | 24.2% |
| Smoking | 18.8% | 11.9% |
| Binge Drinking | 19.3% | 25.4% |
| Obesity | 35.0% | 27.3% |
| Disability Percentage | 14.0% | 11.0% |
Health Statistics Comparison: Pittsburgh vs Blue mounds
- More residents in Pittsburgh report poor mental health at 16.3% compared to 13.4% in Blue mounds.
- Higher depression rates are seen in Blue mounds at 24.2% versus 21.1% in Pittsburgh.
- Smoking is more prevalent in Pittsburgh at 18.8% compared to 11.9% in Blue mounds.
- More residents engage in binge drinking in Blue mounds at 25.4% compared to 19.3% in Pittsburgh.
- Obesity rates are higher in Pittsburgh at 35.0% compared to 27.3% in Blue mounds.
- Disability percentages are higher in Pittsburgh at 14.0% compared to 11.0% in Blue mounds.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Pittsburgh | Blue mounds |
|---|---|---|
| No Schooling | 0.6% (1,955) | 0.0% (Data is updating) |
| High School Diploma | 13.9% (42,015) | 15.3% (141) |
| Less than High School | 6.6% (20,087) | 9.0% (83) |
| Bachelor's Degree and Higher | 32.1% (97,219) | 19.7% (182) |
Education Levels Comparison: Pittsburgh vs Blue mounds
- A higher percentage of residents in Pittsburgh have no formal schooling at 0.6% compared to 0.0% in Blue mounds.
- In Blue mounds, the rate of residents with high school diplomas is higher at 15.3% compared to 13.9% in Pittsburgh.
- The percentage of residents with less than a high school education is higher in Blue mounds at 9.0%, compared to 6.6% in Pittsburgh.
- A higher percentage of residents in Pittsburgh hold a bachelor's degree or higher at 32.1% compared to 19.7% in Blue mounds.
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.