Demographics details for Sunrise beach, MO vs Pittsburgh, PA
Population Overview
Compare main population characteristics in Sunrise beach, MO vs Pittsburgh, PA.
| Data | Sunrise beach | Pittsburgh |
|---|---|---|
| Population | 475 | 302,898 |
| Median Age | 43.9 years | 33.5 years |
| Median Income | $46,389 | $60,187 |
| Married Families | 33.0% | 26.0% |
| Poverty Level | 12% | 15% |
| Unemployment Rate | 3.5 | 3.4 |
Population Comparison: Sunrise beach vs Pittsburgh
- The population in Pittsburgh is higher at 302,898, compared to 475 in Sunrise beach.
- Residents in Sunrise beach have a higher median age of 43.9 years compared to 33.5 years in Pittsburgh.
- Pittsburgh has a higher median income of $60,187, compared to $46,389 in Sunrise beach.
- A higher percentage of married families is found in Sunrise beach at 33.0% compared to 26.0% in Pittsburgh.
- The poverty level is higher in Pittsburgh at 15%, compared to 12% in Sunrise beach.
- The unemployment rate in Sunrise beach is higher at 3.5%, compared to 3.4% in Pittsburgh.
Demographics
Demographics Sunrise beach vs Pittsburgh provide insight into the diversity of the communities to compare.
| Demographic | Sunrise beach | Pittsburgh |
|---|---|---|
| Black | 1 | 23 |
| White | 91 | 62 |
| Asian | 1 | 6 |
| Hispanic | 5 | 4 |
| Two or More Races | 1 | 5 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Sunrise beach vs Pittsburgh
- In Pittsburgh, the percentage of Black residents is higher at 23% compared to 1% in Sunrise beach.
- Sunrise beach has a higher percentage of White residents at 91% compared to 62% in Pittsburgh.
- In Pittsburgh, the Asian population stands at 6%, greater than 1% in Sunrise beach.
- The Hispanic community is larger in Sunrise beach at 5% compared to 4% in Pittsburgh.
- The percentage of residents identifying as two or more races is higher in Pittsburgh at 5%, compared to 1% in Sunrise beach.
- A greater percentage of American Indian residents live in Sunrise beach at 1% compared to 0% in Pittsburgh.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Sunrise beach | Pittsburgh |
|---|---|---|
| Mental Health Not Good | 17.7% | 16.3% |
| Physical Health Not Good | 12.6% | 11.7% |
| Depression | 25.2% | 21.1% |
| Smoking | 20.6% | 18.8% |
| Binge Drinking | 19.7% | 19.3% |
| Obesity | 37.2% | 35.0% |
| Disability Percentage | 17.0% | 14.0% |
Health Statistics Comparison: Sunrise beach vs Pittsburgh
- More residents in Sunrise beach report poor mental health at 17.7% compared to 16.3% in Pittsburgh.
- Depression is more prevalent in Sunrise beach at 25.2% compared to 21.1% in Pittsburgh.
- Smoking is more prevalent in Sunrise beach at 20.6% compared to 18.8% in Pittsburgh.
- Binge drinking is more common in Sunrise beach at 19.7% compared to 19.3% in Pittsburgh.
- Obesity rates are higher in Sunrise beach at 37.2% compared to 35.0% in Pittsburgh.
- Disability percentages are higher in Sunrise beach at 17.0% 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 | Sunrise beach | Pittsburgh |
|---|---|---|
| No Schooling | 1.1% (5) | 0.6% (1,955) |
| High School Diploma | 20.8% (99) | 13.9% (42,015) |
| Less than High School | 2.9% (14) | 6.6% (20,087) |
| Bachelor's Degree and Higher | 25.5% (121) | 32.1% (97,219) |
Education Levels Comparison: Sunrise beach vs Pittsburgh
- A higher percentage of residents in Sunrise beach have no formal schooling at 1.1% compared to 0.6% in Pittsburgh.
- A higher percentage of residents in Sunrise beach hold a high school diploma at 20.8% compared to 13.9% in Pittsburgh.
- The percentage of residents with less than a high school education is higher in Pittsburgh at 6.6%, compared to 2.9% in Sunrise beach.
- In Pittsburgh, a larger share of residents have a bachelor's degree or higher at 32.1% compared to 25.5% in Sunrise beach.
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.