Demographics details for Highland, KS vs Saint marys, PA
Population Overview
Compare main population characteristics in Highland, KS vs Saint marys, PA.
| Data | Highland | Saint marys |
|---|---|---|
| Population | 915 | 12,520 |
| Median Age | 20.4 years | 50.5 years |
| Median Income | $65,000 | $61,364 |
| Married Families | 25.0% | 43.0% |
| Poverty Level | 5% | 9% |
| Unemployment Rate | 3.2 | 4.5 |
Population Comparison: Highland vs Saint marys
- The population in Saint marys is higher at 12,520, compared to 915 in Highland.
- The median age in Saint marys is higher at 50.5 years, compared to 20.4 years in Highland.
- Highland has a higher median income of $65,000 compared to $61,364 in Saint marys.
- In Saint marys, the percentage of married families is higher at 43.0%, compared to 25.0% in Highland.
- The poverty level is higher in Saint marys at 9%, compared to 5% in Highland.
- Saint marys has a higher unemployment rate at 4.5% compared to 3.2% in Highland.
Demographics
Demographics Highland vs Saint marys provide insight into the diversity of the communities to compare.
| Demographic | Highland | Saint marys |
|---|---|---|
| Black | 33 | 1 |
| White | 51 | 95 |
| Asian | 1 | Data is updating |
| Hispanic | 7 | 1 |
| Two or More Races | 8 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Highland vs Saint marys
- A higher percentage of Black residents are in Highland at 33% compared to 1% in Saint marys.
- The percentage of White residents is higher in Saint marys at 95% compared to 51% in Highland.
- The Asian population is larger in Highland at 1% compared to 0% in Saint marys.
- The Hispanic community is larger in Highland at 7% compared to 1% in Saint marys.
- More residents identify as two or more races in Highland at 8% compared to 3% in Saint marys.
- The percentage of American Indian residents is the same in both Highland and Saint marys at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Highland | Saint marys |
|---|---|---|
| Mental Health Not Good | 16.5% | 16.8% |
| Physical Health Not Good | 10.8% | 11.2% |
| Depression | 21.5% | 23.8% |
| Smoking | 19.7% | 19.4% |
| Binge Drinking | 19.2% | 18.7% |
| Obesity | 40.1% | 34.4% |
| Disability Percentage | 17.0% | 17.0% |
Health Statistics Comparison: Highland vs Saint marys
- In Saint marys, a higher percentage report poor mental health at 16.8% compared to 16.5% in Highland.
- Higher depression rates are seen in Saint marys at 23.8% versus 21.5% in Highland.
- Smoking is more prevalent in Highland at 19.7% compared to 19.4% in Saint marys.
- Binge drinking is more common in Highland at 19.2% compared to 18.7% in Saint marys.
- Obesity rates are higher in Highland at 40.1% compared to 34.4% in Saint marys.
- Disability percentages are the same in both Highland and Saint marys at 17.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Highland | Saint marys |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.5% (62) |
| High School Diploma | 7.5% (69) | 36.9% (4,616) |
| Less than High School | 6.1% (56) | 9.3% (1,170) |
| Bachelor's Degree and Higher | 15.3% (140) | 15.1% (1,895) |
Education Levels Comparison: Highland vs Saint marys
- In Saint marys, a larger percentage of residents lack formal schooling at 0.5% compared to 0.0% in Highland.
- In Saint marys, the rate of residents with high school diplomas is higher at 36.9% compared to 7.5% in Highland.
- The percentage of residents with less than a high school education is higher in Saint marys at 9.3%, compared to 6.1% in Highland.
- A higher percentage of residents in Highland hold a bachelor's degree or higher at 15.3% 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.