Demographics details for Pittsburgh, PA vs Underwood, ND
Population Overview
Compare main population characteristics in Pittsburgh, PA vs Underwood, ND.
| Data | Pittsburgh | Underwood |
|---|---|---|
| Population | 302,898 | 780 |
| Median Age | 33.5 years | 47.3 years |
| Median Income | $60,187 | $72,917 |
| Married Families | 26.0% | 51.0% |
| Poverty Level | 15% | Data is updating |
| Unemployment Rate | 3.4 | 2.5 |
Population Comparison: Pittsburgh vs Underwood
- In Pittsburgh, the population is higher at 302,898, compared to 780 in Underwood.
- The median age in Underwood is higher at 47.3 years, compared to 33.5 years in Pittsburgh.
- Underwood has a higher median income of $72,917, compared to $60,187 in Pittsburgh.
- In Underwood, the percentage of married families is higher at 51.0%, compared to 26.0% in Pittsburgh.
- Pittsburgh has a higher poverty level at 15% compared to 0% in Underwood.
- The unemployment rate in Pittsburgh is higher at 3.4%, compared to 2.5% in Underwood.
Demographics
Demographics Pittsburgh vs Underwood provide insight into the diversity of the communities to compare.
| Demographic | Pittsburgh | Underwood |
|---|---|---|
| Black | 23 | 1 |
| White | 62 | 87 |
| Asian | 6 | 3 |
| Hispanic | 4 | 1 |
| Two or More Races | 5 | 6 |
| American Indian | Data is updating | 2 |
Demographics Comparison: Pittsburgh vs Underwood
- A higher percentage of Black residents are in Pittsburgh at 23% compared to 1% in Underwood.
- The percentage of White residents is higher in Underwood at 87% compared to 62% in Pittsburgh.
- The Asian population is larger in Pittsburgh at 6% compared to 3% in Underwood.
- The Hispanic community is larger in Pittsburgh at 4% compared to 1% in Underwood.
- The percentage of residents identifying as two or more races is higher in Underwood at 6%, compared to 5% in Pittsburgh.
- In Underwood, the percentage of American Indian residents is higher at 2%, compared to 0% in Pittsburgh.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Pittsburgh | Underwood |
|---|---|---|
| Mental Health Not Good | 16.3% | 12.8% |
| Physical Health Not Good | 11.7% | 8.8% |
| Depression | 21.1% | 17.5% |
| Smoking | 18.8% | 16.1% |
| Binge Drinking | 19.3% | 22.7% |
| Obesity | 35.0% | 40.0% |
| Disability Percentage | 14.0% | 10.0% |
Health Statistics Comparison: Pittsburgh vs Underwood
- More residents in Pittsburgh report poor mental health at 16.3% compared to 12.8% in Underwood.
- Depression is more prevalent in Pittsburgh at 21.1% compared to 17.5% in Underwood.
- Smoking is more prevalent in Pittsburgh at 18.8% compared to 16.1% in Underwood.
- More residents engage in binge drinking in Underwood at 22.7% compared to 19.3% in Pittsburgh.
- Underwood has higher obesity rates at 40.0% compared to 35.0% in Pittsburgh.
- Disability percentages are higher in Pittsburgh at 14.0% compared to 10.0% in Underwood.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Pittsburgh | Underwood |
|---|---|---|
| No Schooling | 0.6% (1,955) | 0.1% (1) |
| High School Diploma | 13.9% (42,015) | 19.1% (149) |
| Less than High School | 6.6% (20,087) | 8.6% (67) |
| Bachelor's Degree and Higher | 32.1% (97,219) | 13.1% (102) |
Education Levels Comparison: Pittsburgh vs Underwood
- A higher percentage of residents in Pittsburgh have no formal schooling at 0.6% compared to 0.1% in Underwood.
- In Underwood, the rate of residents with high school diplomas is higher at 19.1% compared to 13.9% in Pittsburgh.
- The percentage of residents with less than a high school education is higher in Underwood at 8.6%, 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 13.1% in Underwood.
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.