Demographics details for Charlotte, NC vs College park, MD
Population Overview
Compare main population characteristics in Charlotte, NC vs College park, MD.
Data | Charlotte | College park |
---|---|---|
Population | 897,720 | 34,190 |
Median Age | 34.5 years | 21.6 years |
Median Income | $74,070 | $76,973 |
Married Families | 33.0% | 17.0% |
Poverty Level | 12% | 10% |
Unemployment Rate | 4.0 | 5.5 |
Population Comparison: Charlotte vs College park
- In Charlotte, the population is higher at 897,720, compared to 34,190 in College park.
- Residents in Charlotte have a higher median age of 34.5 years compared to 21.6 years in College park.
- College park has a higher median income of $76,973, compared to $74,070 in Charlotte.
- A higher percentage of married families is found in Charlotte at 33.0% compared to 17.0% in College park.
- Charlotte has a higher poverty level at 12% compared to 10% in College park.
- College park has a higher unemployment rate at 5.5% compared to 4.0% in Charlotte.
Demographics
Demographics Charlotte vs College park provide insight into the diversity of the communities to compare.
Demographic | Charlotte | College park |
---|---|---|
Black | 34 | 23 |
White | 38 | 39 |
Asian | 6 | 14 |
Hispanic | 15 | 17 |
Two or More Races | 7 | 7 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Charlotte vs College park
- A higher percentage of Black residents are in Charlotte at 34% compared to 23% in College park.
- The percentage of White residents is higher in College park at 39% compared to 38% in Charlotte.
- In College park, the Asian population stands at 14%, greater than 6% in Charlotte.
- College park has a higher percentage of Hispanic residents at 17%, compared to 15% in Charlotte.
- Both Charlotte and College park have the same percentage of residents identifying as two or more races at 7%.
- The percentage of American Indian residents is the same in both Charlotte and College park at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Charlotte | College park |
---|---|---|
Mental Health Not Good | 14.7% | 14.8% |
Physical Health Not Good | 10.1% | 10.0% |
Depression | 20.1% | 15.4% |
Smoking | 13.9% | 12.4% |
Binge Drinking | 17.5% | 12.8% |
Obesity | 34.7% | 36.4% |
Disability Percentage | 8.0% | 5.0% |
Health Statistics Comparison: Charlotte vs College park
- In College park, a higher percentage report poor mental health at 14.8% compared to 14.7% in Charlotte.
- Depression is more prevalent in Charlotte at 20.1% compared to 15.4% in College park.
- Smoking is more prevalent in Charlotte at 13.9% compared to 12.4% in College park.
- Binge drinking is more common in Charlotte at 17.5% compared to 12.8% in College park.
- College park has higher obesity rates at 36.4% compared to 34.7% in Charlotte.
- Disability percentages are higher in Charlotte at 8.0% 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 | Charlotte | College park |
---|---|---|
No Schooling | 1.2% (10,429) | 1.9% (657) |
High School Diploma | 9.4% (84,002) | 6.4% (2,199) |
Less than High School | 10.7% (95,990) | 9.4% (3,210) |
Bachelor's Degree and Higher | 30.6% (274,311) | 19.8% (6,769) |
Education Levels Comparison: Charlotte vs College park
- In College park, a larger percentage of residents lack formal schooling at 1.9% compared to 1.2% in Charlotte.
- A higher percentage of residents in Charlotte hold a high school diploma at 9.4% compared to 6.4% in College park.
- More residents in Charlotte have less than a high school education at 10.7% compared to 9.4% in College park.
- A higher percentage of residents in Charlotte hold a bachelor's degree or higher at 30.6% compared to 19.8% in College park.
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.