Demographics details for Hollywood, FL vs Greenbelt, MD
Population Overview
Compare main population characteristics in Hollywood, FL vs Greenbelt, MD.
| Data | Hollywood | Greenbelt |
|---|---|---|
| Population | 152,650 | 24,360 |
| Median Age | 41.0 years | 37.2 years |
| Median Income | $61,958 | $82,019 |
| Married Families | 37.0% | 30.0% |
| Poverty Level | 14% | 9% |
| Unemployment Rate | 3.2 | 6.5 |
Population Comparison: Hollywood vs Greenbelt
- In Hollywood, the population is higher at 152,650, compared to 24,360 in Greenbelt.
- Residents in Hollywood have a higher median age of 41.0 years compared to 37.2 years in Greenbelt.
- Greenbelt has a higher median income of $82,019, compared to $61,958 in Hollywood.
- A higher percentage of married families is found in Hollywood at 37.0% compared to 30.0% in Greenbelt.
- Hollywood has a higher poverty level at 14% compared to 9% in Greenbelt.
- Greenbelt has a higher unemployment rate at 6.5% compared to 3.2% in Hollywood.
Demographics
Demographics Hollywood vs Greenbelt provide insight into the diversity of the communities to compare.
| Demographic | Hollywood | Greenbelt |
|---|---|---|
| Black | 18 | 48 |
| White | 21 | 17 |
| Asian | 2 | 12 |
| Hispanic | 41 | 16 |
| Two or More Races | 18 | 6 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Hollywood vs Greenbelt
- In Greenbelt, the percentage of Black residents is higher at 48% compared to 18% in Hollywood.
- Hollywood has a higher percentage of White residents at 21% compared to 17% in Greenbelt.
- In Greenbelt, the Asian population stands at 12%, greater than 2% in Hollywood.
- The Hispanic community is larger in Hollywood at 41% compared to 16% in Greenbelt.
- More residents identify as two or more races in Hollywood at 18% compared to 6% in Greenbelt.
- In Greenbelt, the percentage of American Indian residents is higher at 1%, compared to 0% in Hollywood.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Hollywood | Greenbelt |
|---|---|---|
| Mental Health Not Good | 15.7% | 12.9% |
| Physical Health Not Good | 11.0% | 8.1% |
| Depression | 17.5% | 13.0% |
| Smoking | 17.4% | 9.8% |
| Binge Drinking | 15.2% | 12.3% |
| Obesity | 29.6% | 36.0% |
| Disability Percentage | 10.0% | 10.0% |
Health Statistics Comparison: Hollywood vs Greenbelt
- More residents in Hollywood report poor mental health at 15.7% compared to 12.9% in Greenbelt.
- Depression is more prevalent in Hollywood at 17.5% compared to 13.0% in Greenbelt.
- Smoking is more prevalent in Hollywood at 17.4% compared to 9.8% in Greenbelt.
- Binge drinking is more common in Hollywood at 15.2% compared to 12.3% in Greenbelt.
- Greenbelt has higher obesity rates at 36.0% compared to 29.6% in Hollywood.
- Disability percentages are the same in both Hollywood and Greenbelt at 10.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Hollywood | Greenbelt |
|---|---|---|
| No Schooling | 1.3% (2,018) | 2.2% (530) |
| High School Diploma | 17.0% (25,997) | 9.0% (2,195) |
| Less than High School | 14.2% (21,615) | 11.4% (2,766) |
| Bachelor's Degree and Higher | 22.9% (34,923) | 32.2% (7,832) |
Education Levels Comparison: Hollywood vs Greenbelt
- In Greenbelt, a larger percentage of residents lack formal schooling at 2.2% compared to 1.3% in Hollywood.
- A higher percentage of residents in Hollywood hold a high school diploma at 17.0% compared to 9.0% in Greenbelt.
- More residents in Hollywood have less than a high school education at 14.2% compared to 11.4% in Greenbelt.
- In Greenbelt, a larger share of residents have a bachelor's degree or higher at 32.2% compared to 22.9% in Hollywood.
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.