Demographics details for Holiday, FL vs College park, MD
Population Overview
Compare main population characteristics in Holiday, FL vs College park, MD.
| Data | Holiday | College park |
|---|---|---|
| Population | 21,495 | 34,190 |
| Median Age | 43.9 years | 21.6 years |
| Median Income | $40,852 | $76,973 |
| Married Families | 31.0% | 17.0% |
| Poverty Level | 13% | 10% |
| Unemployment Rate | 3.2 | 5.5 |
Population Comparison: Holiday vs College park
- The population in College park is higher at 34,190, compared to 21,495 in Holiday.
- Residents in Holiday have a higher median age of 43.9 years compared to 21.6 years in College park.
- College park has a higher median income of $76,973, compared to $40,852 in Holiday.
- A higher percentage of married families is found in Holiday at 31.0% compared to 17.0% in College park.
- Holiday has a higher poverty level at 13% compared to 10% in College park.
- College park has a higher unemployment rate at 5.5% compared to 3.2% in Holiday.
Demographics
Demographics Holiday vs College park provide insight into the diversity of the communities to compare.
| Demographic | Holiday | College park |
|---|---|---|
| Black | 9 | 23 |
| White | 61 | 39 |
| Asian | 1 | 14 |
| Hispanic | 18 | 17 |
| Two or More Races | 11 | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Holiday vs College park
- In College park, the percentage of Black residents is higher at 23% compared to 9% in Holiday.
- Holiday has a higher percentage of White residents at 61% compared to 39% in College park.
- In College park, the Asian population stands at 14%, greater than 1% in Holiday.
- The Hispanic community is larger in Holiday at 18% compared to 17% in College park.
- More residents identify as two or more races in Holiday at 11% compared to 7% in College park.
- The percentage of American Indian residents is the same in both Holiday and College park at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Holiday | College park |
|---|---|---|
| Mental Health Not Good | 18.6% | 14.8% |
| Physical Health Not Good | 13.7% | 10.0% |
| Depression | 24.5% | 15.4% |
| Smoking | 27.9% | 12.4% |
| Binge Drinking | 16.9% | 12.8% |
| Obesity | 33.6% | 36.4% |
| Disability Percentage | 18.0% | 5.0% |
Health Statistics Comparison: Holiday vs College park
- More residents in Holiday report poor mental health at 18.6% compared to 14.8% in College park.
- Depression is more prevalent in Holiday at 24.5% compared to 15.4% in College park.
- Smoking is more prevalent in Holiday at 27.9% compared to 12.4% in College park.
- Binge drinking is more common in Holiday at 16.9% compared to 12.8% in College park.
- College park has higher obesity rates at 36.4% compared to 33.6% in Holiday.
- Disability percentages are higher in Holiday at 18.0% 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 | Holiday | College park |
|---|---|---|
| No Schooling | 1.0% (217) | 1.9% (657) |
| High School Diploma | 34.2% (7,351) | 6.4% (2,199) |
| Less than High School | 15.3% (3,281) | 9.4% (3,210) |
| Bachelor's Degree and Higher | 8.5% (1,817) | 19.8% (6,769) |
Education Levels Comparison: Holiday vs College park
- In College park, a larger percentage of residents lack formal schooling at 1.9% compared to 1.0% in Holiday.
- A higher percentage of residents in Holiday hold a high school diploma at 34.2% compared to 6.4% in College park.
- More residents in Holiday have less than a high school education at 15.3% compared to 9.4% in College park.
- In College park, a larger share of residents have a bachelor's degree or higher at 19.8% compared to 8.5% in Holiday.
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.