Demographics details for Hollywood, FL vs Bellingham, WA
Population Overview
Compare main population characteristics in Hollywood, FL vs Bellingham, WA.
Data | Hollywood | Bellingham |
---|---|---|
Population | 152,650 | 93,896 |
Median Age | 41.0 years | 33.7 years |
Median Income | $61,958 | $64,026 |
Married Families | 37.0% | 32.0% |
Poverty Level | 14% | 11% |
Unemployment Rate | 3.2 | 4.5 |
Population Comparison: Hollywood vs Bellingham
- In Hollywood, the population is higher at 152,650, compared to 93,896 in Bellingham.
- Residents in Hollywood have a higher median age of 41.0 years compared to 33.7 years in Bellingham.
- Bellingham has a higher median income of $64,026, compared to $61,958 in Hollywood.
- A higher percentage of married families is found in Hollywood at 37.0% compared to 32.0% in Bellingham.
- Hollywood has a higher poverty level at 14% compared to 11% in Bellingham.
- Bellingham has a higher unemployment rate at 4.5% compared to 3.2% in Hollywood.
Demographics
Demographics Hollywood vs Bellingham provide insight into the diversity of the communities to compare.
Demographic | Hollywood | Bellingham |
---|---|---|
Black | 18 | 1 |
White | 21 | 74 |
Asian | 2 | 6 |
Hispanic | 41 | 10 |
Two or More Races | 18 | 8 |
American Indian | Data is updating | 1 |
Demographics Comparison: Hollywood vs Bellingham
- A higher percentage of Black residents are in Hollywood at 18% compared to 1% in Bellingham.
- The percentage of White residents is higher in Bellingham at 74% compared to 21% in Hollywood.
- In Bellingham, the Asian population stands at 6%, greater than 2% in Hollywood.
- The Hispanic community is larger in Hollywood at 41% compared to 10% in Bellingham.
- More residents identify as two or more races in Hollywood at 18% compared to 8% in Bellingham.
- In Bellingham, 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 | Bellingham |
---|---|---|
Mental Health Not Good | 15.7% | 17.6% |
Physical Health Not Good | 11.0% | 10.9% |
Depression | 17.5% | 30.0% |
Smoking | 17.4% | 14.1% |
Binge Drinking | 15.2% | 17.3% |
Obesity | 29.6% | 25.6% |
Disability Percentage | 10.0% | 12.0% |
Health Statistics Comparison: Hollywood vs Bellingham
- In Bellingham, a higher percentage report poor mental health at 17.6% compared to 15.7% in Hollywood.
- Higher depression rates are seen in Bellingham at 30.0% versus 17.5% in Hollywood.
- Smoking is more prevalent in Hollywood at 17.4% compared to 14.1% in Bellingham.
- More residents engage in binge drinking in Bellingham at 17.3% compared to 15.2% in Hollywood.
- Obesity rates are higher in Hollywood at 29.6% compared to 25.6% in Bellingham.
- There is a higher percentage of disabled individuals in Bellingham at 12.0% compared to 10.0% in Hollywood.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Hollywood | Bellingham |
---|---|---|
No Schooling | 1.3% (2,018) | 0.5% (454) |
High School Diploma | 17.0% (25,997) | 8.8% (8,220) |
Less than High School | 14.2% (21,615) | 6.2% (5,781) |
Bachelor's Degree and Higher | 22.9% (34,923) | 28.9% (27,095) |
Education Levels Comparison: Hollywood vs Bellingham
- A higher percentage of residents in Hollywood have no formal schooling at 1.3% compared to 0.5% in Bellingham.
- A higher percentage of residents in Hollywood hold a high school diploma at 17.0% compared to 8.8% in Bellingham.
- More residents in Hollywood have less than a high school education at 14.2% compared to 6.2% in Bellingham.
- In Bellingham, a larger share of residents have a bachelor's degree or higher at 28.9% 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.