Demographics details for Webb, IA vs Pittsburgh, PA
Population Overview
Compare main population characteristics in Webb, IA vs Pittsburgh, PA.
| Data | Webb | Pittsburgh |
|---|---|---|
| Population | 141 | 302,898 |
| Median Age | 43.3 years | 33.5 years |
| Median Income | $66,250 | $60,187 |
| Married Families | 33.0% | 26.0% |
| Poverty Level | 6% | 15% |
| Unemployment Rate | 2.5 | 3.4 |
Population Comparison: Webb vs Pittsburgh
- The population in Pittsburgh is higher at 302,898, compared to 141 in Webb.
- Residents in Webb have a higher median age of 43.3 years compared to 33.5 years in Pittsburgh.
- Webb has a higher median income of $66,250 compared to $60,187 in Pittsburgh.
- A higher percentage of married families is found in Webb at 33.0% compared to 26.0% in Pittsburgh.
- The poverty level is higher in Pittsburgh at 15%, compared to 6% in Webb.
- Pittsburgh has a higher unemployment rate at 3.4% compared to 2.5% in Webb.
Demographics
Demographics Webb vs Pittsburgh provide insight into the diversity of the communities to compare.
| Demographic | Webb | Pittsburgh |
|---|---|---|
| Black | Data is updating | 23 |
| White | 99 | 62 |
| Asian | Data is updating | 6 |
| Hispanic | Data is updating | 4 |
| Two or More Races | 1 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Webb vs Pittsburgh
- In Pittsburgh, the percentage of Black residents is higher at 23% compared to 0% in Webb.
- Webb has a higher percentage of White residents at 99% compared to 62% in Pittsburgh.
- In Pittsburgh, the Asian population stands at 6%, greater than 0% in Webb.
- Pittsburgh has a higher percentage of Hispanic residents at 4%, compared to 0% in Webb.
- The percentage of residents identifying as two or more races is higher in Pittsburgh at 5%, compared to 1% in Webb.
- The percentage of American Indian residents is the same in both Webb and Pittsburgh at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Webb | Pittsburgh |
|---|---|---|
| Mental Health Not Good | 15.5% | 16.3% |
| Physical Health Not Good | 9.8% | 11.7% |
| Depression | 19.2% | 21.1% |
| Smoking | 17.7% | 18.8% |
| Binge Drinking | 21.4% | 19.3% |
| Obesity | 36.5% | 35.0% |
| Disability Percentage | 22.0% | 14.0% |
Health Statistics Comparison: Webb vs Pittsburgh
- In Pittsburgh, a higher percentage report poor mental health at 16.3% compared to 15.5% in Webb.
- Higher depression rates are seen in Pittsburgh at 21.1% versus 19.2% in Webb.
- Pittsburgh has a higher smoking rate at 18.8% compared to 17.7% in Webb.
- Binge drinking is more common in Webb at 21.4% compared to 19.3% in Pittsburgh.
- Obesity rates are higher in Webb at 36.5% compared to 35.0% in Pittsburgh.
- Disability percentages are higher in Webb at 22.0% 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 | Webb | Pittsburgh |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.6% (1,955) |
| High School Diploma | 19.9% (28) | 13.9% (42,015) |
| Less than High School | 11.3% (16) | 6.6% (20,087) |
| Bachelor's Degree and Higher | 8.5% (12) | 32.1% (97,219) |
Education Levels Comparison: Webb vs Pittsburgh
- In Pittsburgh, a larger percentage of residents lack formal schooling at 0.6% compared to 0.0% in Webb.
- A higher percentage of residents in Webb hold a high school diploma at 19.9% compared to 13.9% in Pittsburgh.
- More residents in Webb have less than a high school education at 11.3% 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 8.5% in Webb.
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.