Demographics details for Palm bay, FL vs Osage beach, MO
Population Overview
Compare main population characteristics in Palm bay, FL vs Osage beach, MO.
Data | Palm bay | Osage beach |
---|---|---|
Population | 129,234 | 4,821 |
Median Age | 41.8 years | 48.0 years |
Median Income | $62,538 | $51,600 |
Married Families | 37.0% | 37.0% |
Poverty Level | 10% | 7% |
Unemployment Rate | 4.0 | 3.4 |
Population Comparison: Palm bay vs Osage beach
- In Palm bay, the population is higher at 129,234, compared to 4,821 in Osage beach.
- The median age in Osage beach is higher at 48.0 years, compared to 41.8 years in Palm bay.
- Palm bay has a higher median income of $62,538 compared to $51,600 in Osage beach.
- The percentage of married families is the same in both Palm bay and Osage beach at 37.0%.
- Palm bay has a higher poverty level at 10% compared to 7% in Osage beach.
- The unemployment rate in Palm bay is higher at 4.0%, compared to 3.4% in Osage beach.
Demographics
Demographics Palm bay vs Osage beach provide insight into the diversity of the communities to compare.
Demographic | Palm bay | Osage beach |
---|---|---|
Black | 18 | 3 |
White | 51 | 85 |
Asian | 2 | Data is updating |
Hispanic | 17 | 8 |
Two or More Races | 12 | 3 |
American Indian | Data is updating | 1 |
Demographics Comparison: Palm bay vs Osage beach
- A higher percentage of Black residents are in Palm bay at 18% compared to 3% in Osage beach.
- The percentage of White residents is higher in Osage beach at 85% compared to 51% in Palm bay.
- The Asian population is larger in Palm bay at 2% compared to 0% in Osage beach.
- The Hispanic community is larger in Palm bay at 17% compared to 8% in Osage beach.
- More residents identify as two or more races in Palm bay at 12% compared to 3% in Osage beach.
- In Osage beach, the percentage of American Indian residents is higher at 1%, compared to 0% in Palm bay.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Palm bay | Osage beach |
---|---|---|
Mental Health Not Good | 16.8% | 18.4% |
Physical Health Not Good | 11.5% | 13.7% |
Depression | 20.3% | 25.5% |
Smoking | 19.6% | 22.6% |
Binge Drinking | 15.8% | 18.8% |
Obesity | 34.9% | 38.5% |
Disability Percentage | 16.0% | 15.0% |
Health Statistics Comparison: Palm bay vs Osage beach
- In Osage beach, a higher percentage report poor mental health at 18.4% compared to 16.8% in Palm bay.
- Higher depression rates are seen in Osage beach at 25.5% versus 20.3% in Palm bay.
- Osage beach has a higher smoking rate at 22.6% compared to 19.6% in Palm bay.
- More residents engage in binge drinking in Osage beach at 18.8% compared to 15.8% in Palm bay.
- Osage beach has higher obesity rates at 38.5% compared to 34.9% in Palm bay.
- Disability percentages are higher in Palm bay at 16.0% compared to 15.0% in Osage beach.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Palm bay | Osage beach |
---|---|---|
No Schooling | 0.9% (1,215) | 0.0% (Data is updating) |
High School Diploma | 17.2% (22,173) | 22.9% (1,105) |
Less than High School | 11.5% (14,805) | 22.9% (1,106) |
Bachelor's Degree and Higher | 14.6% (18,880) | 16.6% (801) |
Education Levels Comparison: Palm bay vs Osage beach
- A higher percentage of residents in Palm bay have no formal schooling at 0.9% compared to 0.0% in Osage beach.
- In Osage beach, the rate of residents with high school diplomas is higher at 22.9% compared to 17.2% in Palm bay.
- The percentage of residents with less than a high school education is higher in Osage beach at 22.9%, compared to 11.5% in Palm bay.
- In Osage beach, a larger share of residents have a bachelor's degree or higher at 16.6% compared to 14.6% in Palm bay.
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.