Demographics details for Duchesne, UT vs Pittsburgh, PA
Population Overview
Compare main population characteristics in Duchesne, UT vs Pittsburgh, PA.
Data | Duchesne | Pittsburgh |
---|---|---|
Population | 20,161 | 302,898 |
Median Age | 33.1 years | 33.5 years |
Median Income | $70,821 | $60,187 |
Married Families | 42.0% | 26.0% |
Poverty Level | 10% | 15% |
Unemployment Rate | 4.2 | 3.4 |
Population Comparison: Duchesne vs Pittsburgh
- The population in Pittsburgh is higher at 302,898, compared to 20,161 in Duchesne.
- The median age in Pittsburgh is higher at 33.5 years, compared to 33.1 years in Duchesne.
- Duchesne has a higher median income of $70,821 compared to $60,187 in Pittsburgh.
- A higher percentage of married families is found in Duchesne at 42.0% compared to 26.0% in Pittsburgh.
- The poverty level is higher in Pittsburgh at 15%, compared to 10% in Duchesne.
- The unemployment rate in Duchesne is higher at 4.2%, compared to 3.4% in Pittsburgh.
Demographics
Demographics Duchesne vs Pittsburgh provide insight into the diversity of the communities to compare.
Demographic | Duchesne | Pittsburgh |
---|---|---|
Black | Data is updating | 23 |
White | 85 | 62 |
Asian | Data is updating | 6 |
Hispanic | 8 | 4 |
Two or More Races | 4 | 5 |
American Indian | 3 | Data is updating |
Demographics Comparison: Duchesne vs Pittsburgh
- In Pittsburgh, the percentage of Black residents is higher at 23% compared to 0% in Duchesne.
- Duchesne has a higher percentage of White residents at 85% compared to 62% in Pittsburgh.
- In Pittsburgh, the Asian population stands at 6%, greater than 0% in Duchesne.
- The Hispanic community is larger in Duchesne at 8% compared to 4% in Pittsburgh.
- The percentage of residents identifying as two or more races is higher in Pittsburgh at 5%, compared to 4% in Duchesne.
- A greater percentage of American Indian residents live in Duchesne at 3% compared to 0% in Pittsburgh.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Duchesne | Pittsburgh |
---|---|---|
Mental Health Not Good | 18.1% | 16.3% |
Physical Health Not Good | 12.6% | 11.7% |
Depression | 23.1% | 21.1% |
Smoking | 13.4% | 18.8% |
Binge Drinking | 11.9% | 19.3% |
Obesity | 33.5% | 35.0% |
Disability Percentage | 13.0% | 14.0% |
Health Statistics Comparison: Duchesne vs Pittsburgh
- More residents in Duchesne report poor mental health at 18.1% compared to 16.3% in Pittsburgh.
- Depression is more prevalent in Duchesne at 23.1% compared to 21.1% in Pittsburgh.
- Pittsburgh has a higher smoking rate at 18.8% compared to 13.4% in Duchesne.
- More residents engage in binge drinking in Pittsburgh at 19.3% compared to 11.9% in Duchesne.
- Pittsburgh has higher obesity rates at 35.0% compared to 33.5% in Duchesne.
- There is a higher percentage of disabled individuals in Pittsburgh at 14.0% compared to 13.0% in Duchesne.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Duchesne | Pittsburgh |
---|---|---|
No Schooling | 0.3% (69) | 0.6% (1,955) |
High School Diploma | 20.5% (4,124) | 13.9% (42,015) |
Less than High School | 12.1% (2,432) | 6.6% (20,087) |
Bachelor's Degree and Higher | 8.4% (1,685) | 32.1% (97,219) |
Education Levels Comparison: Duchesne vs Pittsburgh
- In Pittsburgh, a larger percentage of residents lack formal schooling at 0.6% compared to 0.3% in Duchesne.
- A higher percentage of residents in Duchesne hold a high school diploma at 20.5% compared to 13.9% in Pittsburgh.
- More residents in Duchesne have less than a high school education at 12.1% 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 8.4% in Duchesne.
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.