Demographics details for Saint marys, PA vs Boulder, CO
Population Overview
Compare main population characteristics in Saint marys, PA vs Boulder, CO.
Data | Saint marys | Boulder |
---|---|---|
Population | 12,520 | 105,485 |
Median Age | 50.5 years | 28.5 years |
Median Income | $61,364 | $80,243 |
Married Families | 43.0% | 28.0% |
Poverty Level | 9% | 12% |
Unemployment Rate | 4.5 | 4.2 |
Population Comparison: Saint marys vs Boulder
- The population in Boulder is higher at 105,485, compared to 12,520 in Saint marys.
- Residents in Saint marys have a higher median age of 50.5 years compared to 28.5 years in Boulder.
- Boulder has a higher median income of $80,243, compared to $61,364 in Saint marys.
- A higher percentage of married families is found in Saint marys at 43.0% compared to 28.0% in Boulder.
- The poverty level is higher in Boulder at 12%, compared to 9% in Saint marys.
- The unemployment rate in Saint marys is higher at 4.5%, compared to 4.2% in Boulder.
Demographics
Demographics Saint marys vs Boulder provide insight into the diversity of the communities to compare.
Demographic | Saint marys | Boulder |
---|---|---|
Black | 1 | 1 |
White | 95 | 74 |
Asian | Data is updating | 6 |
Hispanic | 1 | 11 |
Two or More Races | 3 | 7 |
American Indian | Data is updating | 1 |
Demographics Comparison: Saint marys vs Boulder
- The percentage of Black residents is the same in both Saint marys and Boulder at 1%.
- Saint marys has a higher percentage of White residents at 95% compared to 74% in Boulder.
- In Boulder, the Asian population stands at 6%, greater than 0% in Saint marys.
- Boulder has a higher percentage of Hispanic residents at 11%, compared to 1% in Saint marys.
- The percentage of residents identifying as two or more races is higher in Boulder at 7%, compared to 3% in Saint marys.
- In Boulder, the percentage of American Indian residents is higher at 1%, compared to 0% in Saint marys.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Saint marys | Boulder |
---|---|---|
Mental Health Not Good | 16.8% | 15.2% |
Physical Health Not Good | 11.2% | 8.9% |
Depression | 23.8% | 23.3% |
Smoking | 19.4% | 10.9% |
Binge Drinking | 18.7% | 19.5% |
Obesity | 34.4% | 17.5% |
Disability Percentage | 17.0% | 6.0% |
Health Statistics Comparison: Saint marys vs Boulder
- More residents in Saint marys report poor mental health at 16.8% compared to 15.2% in Boulder.
- Depression is more prevalent in Saint marys at 23.8% compared to 23.3% in Boulder.
- Smoking is more prevalent in Saint marys at 19.4% compared to 10.9% in Boulder.
- More residents engage in binge drinking in Boulder at 19.5% compared to 18.7% in Saint marys.
- Obesity rates are higher in Saint marys at 34.4% compared to 17.5% in Boulder.
- Disability percentages are higher in Saint marys at 17.0% compared to 6.0% in Boulder.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Saint marys | Boulder |
---|---|---|
No Schooling | 0.5% (62) | 0.3% (324) |
High School Diploma | 36.9% (4,616) | 2.9% (3,026) |
Less than High School | 9.3% (1,170) | 3.3% (3,521) |
Bachelor's Degree and Higher | 15.1% (1,895) | 43.6% (46,028) |
Education Levels Comparison: Saint marys vs Boulder
- A higher percentage of residents in Saint marys have no formal schooling at 0.5% compared to 0.3% in Boulder.
- A higher percentage of residents in Saint marys hold a high school diploma at 36.9% compared to 2.9% in Boulder.
- More residents in Saint marys have less than a high school education at 9.3% compared to 3.3% in Boulder.
- In Boulder, a larger share of residents have a bachelor's degree or higher at 43.6% compared to 15.1% in Saint marys.
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.