Demographics details for College park, MD vs Cornelia, GA
Population Overview
Compare main population characteristics in College park, MD vs Cornelia, GA.
Data | College park | Cornelia |
---|---|---|
Population | 34,190 | 5,004 |
Median Age | 21.6 years | 30.4 years |
Median Income | $76,973 | $46,211 |
Married Families | 17.0% | 32.0% |
Poverty Level | 10% | 12% |
Unemployment Rate | 5.5 | 3.5 |
Population Comparison: College park vs Cornelia
- In College park, the population is higher at 34,190, compared to 5,004 in Cornelia.
- The median age in Cornelia is higher at 30.4 years, compared to 21.6 years in College park.
- College park has a higher median income of $76,973 compared to $46,211 in Cornelia.
- In Cornelia, the percentage of married families is higher at 32.0%, compared to 17.0% in College park.
- The poverty level is higher in Cornelia at 12%, compared to 10% in College park.
- The unemployment rate in College park is higher at 5.5%, compared to 3.5% in Cornelia.
Demographics
Demographics College park vs Cornelia provide insight into the diversity of the communities to compare.
Demographic | College park | Cornelia |
---|---|---|
Black | 23 | 9 |
White | 39 | 43 |
Asian | 14 | 3 |
Hispanic | 17 | 32 |
Two or More Races | 7 | 13 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: College park vs Cornelia
- A higher percentage of Black residents are in College park at 23% compared to 9% in Cornelia.
- The percentage of White residents is higher in Cornelia at 43% compared to 39% in College park.
- The Asian population is larger in College park at 14% compared to 3% in Cornelia.
- Cornelia has a higher percentage of Hispanic residents at 32%, compared to 17% in College park.
- The percentage of residents identifying as two or more races is higher in Cornelia at 13%, compared to 7% in College park.
- The percentage of American Indian residents is the same in both College park and Cornelia at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | College park | Cornelia |
---|---|---|
Mental Health Not Good | 14.8% | 18.2% |
Physical Health Not Good | 10.0% | 14.7% |
Depression | 15.4% | 22.4% |
Smoking | 12.4% | 20.2% |
Binge Drinking | 12.8% | 14.4% |
Obesity | 36.4% | 34.6% |
Disability Percentage | 5.0% | 13.0% |
Health Statistics Comparison: College park vs Cornelia
- In Cornelia, a higher percentage report poor mental health at 18.2% compared to 14.8% in College park.
- Higher depression rates are seen in Cornelia at 22.4% versus 15.4% in College park.
- Cornelia has a higher smoking rate at 20.2% compared to 12.4% in College park.
- More residents engage in binge drinking in Cornelia at 14.4% compared to 12.8% in College park.
- Obesity rates are higher in College park at 36.4% compared to 34.6% in Cornelia.
- There is a higher percentage of disabled individuals in Cornelia at 13.0% compared to 5.0% in College park.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | College park | Cornelia |
---|---|---|
No Schooling | 1.9% (657) | 3.6% (179) |
High School Diploma | 6.4% (2,199) | 9.5% (473) |
Less than High School | 9.4% (3,210) | 35.8% (1,790) |
Bachelor's Degree and Higher | 19.8% (6,769) | 12.5% (625) |
Education Levels Comparison: College park vs Cornelia
- In Cornelia, a larger percentage of residents lack formal schooling at 3.6% compared to 1.9% in College park.
- In Cornelia, the rate of residents with high school diplomas is higher at 9.5% compared to 6.4% in College park.
- The percentage of residents with less than a high school education is higher in Cornelia at 35.8%, compared to 9.4% in College park.
- A higher percentage of residents in College park hold a bachelor's degree or higher at 19.8% compared to 12.5% in Cornelia.
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.