Demographics details for Mc clure, OH vs Saint marys, PA
Population Overview
Compare main population characteristics in Mc clure, OH vs Saint marys, PA.
Data | Mc clure | Saint marys |
---|---|---|
Population | 693 | 12,520 |
Median Age | 30.5 years | 50.5 years |
Median Income | $55,938 | $61,364 |
Married Families | 37.0% | 43.0% |
Poverty Level | 12% | 9% |
Unemployment Rate | 4.0 | 4.5 |
Population Comparison: Mc clure vs Saint marys
- The population in Saint marys is higher at 12,520, compared to 693 in Mc clure.
- The median age in Saint marys is higher at 50.5 years, compared to 30.5 years in Mc clure.
- Saint marys has a higher median income of $61,364, compared to $55,938 in Mc clure.
- In Saint marys, the percentage of married families is higher at 43.0%, compared to 37.0% in Mc clure.
- Mc clure has a higher poverty level at 12% compared to 9% in Saint marys.
- Saint marys has a higher unemployment rate at 4.5% compared to 4.0% in Mc clure.
Demographics
Demographics Mc clure vs Saint marys provide insight into the diversity of the communities to compare.
Demographic | Mc clure | Saint marys |
---|---|---|
Black | Data is updating | 1 |
White | 65 | 95 |
Asian | 4 | Data is updating |
Hispanic | 16 | 1 |
Two or More Races | 15 | 3 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Mc clure vs Saint marys
- In Saint marys, the percentage of Black residents is higher at 1% compared to 0% in Mc clure.
- The percentage of White residents is higher in Saint marys at 95% compared to 65% in Mc clure.
- The Asian population is larger in Mc clure at 4% compared to 0% in Saint marys.
- The Hispanic community is larger in Mc clure at 16% compared to 1% in Saint marys.
- More residents identify as two or more races in Mc clure at 15% compared to 3% in Saint marys.
- The percentage of American Indian residents is the same in both Mc clure and Saint marys at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Mc clure | Saint marys |
---|---|---|
Mental Health Not Good | 16.4% | 16.8% |
Physical Health Not Good | 10.5% | 11.2% |
Depression | 22.4% | 23.8% |
Smoking | 18.2% | 19.4% |
Binge Drinking | 19.9% | 18.7% |
Obesity | 40.2% | 34.4% |
Disability Percentage | 22.0% | 17.0% |
Health Statistics Comparison: Mc clure vs Saint marys
- In Saint marys, a higher percentage report poor mental health at 16.8% compared to 16.4% in Mc clure.
- Higher depression rates are seen in Saint marys at 23.8% versus 22.4% in Mc clure.
- Saint marys has a higher smoking rate at 19.4% compared to 18.2% in Mc clure.
- Binge drinking is more common in Mc clure at 19.9% compared to 18.7% in Saint marys.
- Obesity rates are higher in Mc clure at 40.2% compared to 34.4% in Saint marys.
- Disability percentages are higher in Mc clure at 22.0% compared to 17.0% in Saint marys.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Mc clure | Saint marys |
---|---|---|
No Schooling | 0.3% (2) | 0.5% (62) |
High School Diploma | 28.6% (198) | 36.9% (4,616) |
Less than High School | 17.7% (123) | 9.3% (1,170) |
Bachelor's Degree and Higher | 5.5% (38) | 15.1% (1,895) |
Education Levels Comparison: Mc clure vs Saint marys
- In Saint marys, a larger percentage of residents lack formal schooling at 0.5% compared to 0.3% in Mc clure.
- In Saint marys, the rate of residents with high school diplomas is higher at 36.9% compared to 28.6% in Mc clure.
- More residents in Mc clure have less than a high school education at 17.7% compared to 9.3% in Saint marys.
- In Saint marys, a larger share of residents have a bachelor's degree or higher at 15.1% compared to 5.5% in Mc clure.
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.