Demographics details for College park, MD vs Sabin, MN
Population Overview
Compare main population characteristics in College park, MD vs Sabin, MN.
| Data | College park | Sabin |
|---|---|---|
| Population | 34,190 | 610 |
| Median Age | 21.6 years | 33.3 years |
| Median Income | $76,973 | $118,750 |
| Married Families | 17.0% | 50.0% |
| Poverty Level | 10% | Data is updating |
| Unemployment Rate | 5.5 | 2.5 |
Population Comparison: College park vs Sabin
- In College park, the population is higher at 34,190, compared to 610 in Sabin.
- The median age in Sabin is higher at 33.3 years, compared to 21.6 years in College park.
- Sabin has a higher median income of $118,750, compared to $76,973 in College park.
- In Sabin, the percentage of married families is higher at 50.0%, compared to 17.0% in College park.
- College park has a higher poverty level at 10% compared to 0% in Sabin.
- The unemployment rate in College park is higher at 5.5%, compared to 2.5% in Sabin.
Demographics
Demographics College park vs Sabin provide insight into the diversity of the communities to compare.
| Demographic | College park | Sabin |
|---|---|---|
| Black | 23 | Data is updating |
| White | 39 | 82 |
| Asian | 14 | 1 |
| Hispanic | 17 | 3 |
| Two or More Races | 7 | 8 |
| American Indian | Data is updating | 6 |
Demographics Comparison: College park vs Sabin
- A higher percentage of Black residents are in College park at 23% compared to 0% in Sabin.
- The percentage of White residents is higher in Sabin at 82% compared to 39% in College park.
- The Asian population is larger in College park at 14% compared to 1% in Sabin.
- The Hispanic community is larger in College park at 17% compared to 3% in Sabin.
- The percentage of residents identifying as two or more races is higher in Sabin at 8%, compared to 7% in College park.
- In Sabin, the percentage of American Indian residents is higher at 6%, compared to 0% in College park.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | College park | Sabin |
|---|---|---|
| Mental Health Not Good | 14.8% | 14.2% |
| Physical Health Not Good | 10.0% | 8.4% |
| Depression | 15.4% | 25.3% |
| Smoking | 12.4% | 15.3% |
| Binge Drinking | 12.8% | 20.6% |
| Obesity | 36.4% | 33.7% |
| Disability Percentage | 5.0% | 5.0% |
Health Statistics Comparison: College park vs Sabin
- More residents in College park report poor mental health at 14.8% compared to 14.2% in Sabin.
- Higher depression rates are seen in Sabin at 25.3% versus 15.4% in College park.
- Sabin has a higher smoking rate at 15.3% compared to 12.4% in College park.
- More residents engage in binge drinking in Sabin at 20.6% compared to 12.8% in College park.
- Obesity rates are higher in College park at 36.4% compared to 33.7% in Sabin.
- Disability percentages are the same in both College park and Sabin at 5.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | College park | Sabin |
|---|---|---|
| No Schooling | 1.9% (657) | 0.2% (1) |
| High School Diploma | 6.4% (2,199) | 14.1% (86) |
| Less than High School | 9.4% (3,210) | 3.6% (22) |
| Bachelor's Degree and Higher | 19.8% (6,769) | 17.9% (109) |
Education Levels Comparison: College park vs Sabin
- A higher percentage of residents in College park have no formal schooling at 1.9% compared to 0.2% in Sabin.
- In Sabin, the rate of residents with high school diplomas is higher at 14.1% compared to 6.4% in College park.
- More residents in College park have less than a high school education at 9.4% compared to 3.6% in Sabin.
- A higher percentage of residents in College park hold a bachelor's degree or higher at 19.8% compared to 17.9% in Sabin.
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.