Demographics details for Palm bay, FL vs Broken arrow, OK
Population Overview
Compare main population characteristics in Palm bay, FL vs Broken arrow, OK.
Data | Palm bay | Broken arrow |
---|---|---|
Population | 129,234 | 117,911 |
Median Age | 41.8 years | 36.8 years |
Median Income | $62,538 | $82,547 |
Married Families | 37.0% | 43.0% |
Poverty Level | 10% | 10% |
Unemployment Rate | 4.0 | 3.3 |
Population Comparison: Palm bay vs Broken arrow
- In Palm bay, the population is higher at 129,234, compared to 117,911 in Broken arrow.
- Residents in Palm bay have a higher median age of 41.8 years compared to 36.8 years in Broken arrow.
- Broken arrow has a higher median income of $82,547, compared to $62,538 in Palm bay.
- In Broken arrow, the percentage of married families is higher at 43.0%, compared to 37.0% in Palm bay.
- The poverty level is identical in both Palm bay and Broken arrow at 10%.
- The unemployment rate in Palm bay is higher at 4.0%, compared to 3.3% in Broken arrow.
Demographics
Demographics Palm bay vs Broken arrow provide insight into the diversity of the communities to compare.
Demographic | Palm bay | Broken arrow |
---|---|---|
Black | 18 | 5 |
White | 51 | 65 |
Asian | 2 | 4 |
Hispanic | 17 | 10 |
Two or More Races | 12 | 11 |
American Indian | Data is updating | 5 |
Demographics Comparison: Palm bay vs Broken arrow
- A higher percentage of Black residents are in Palm bay at 18% compared to 5% in Broken arrow.
- The percentage of White residents is higher in Broken arrow at 65% compared to 51% in Palm bay.
- In Broken arrow, the Asian population stands at 4%, greater than 2% in Palm bay.
- The Hispanic community is larger in Palm bay at 17% compared to 10% in Broken arrow.
- More residents identify as two or more races in Palm bay at 12% compared to 11% in Broken arrow.
- In Broken arrow, the percentage of American Indian residents is higher at 5%, compared to 0% in Palm bay.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Palm bay | Broken arrow |
---|---|---|
Mental Health Not Good | 16.8% | 16.8% |
Physical Health Not Good | 11.5% | 10.3% |
Depression | 20.3% | 25.0% |
Smoking | 19.6% | 14.9% |
Binge Drinking | 15.8% | 15.0% |
Obesity | 34.9% | 34.6% |
Disability Percentage | 16.0% | 11.0% |
Health Statistics Comparison: Palm bay vs Broken arrow
- Poor mental health levels are equal in both Palm bay and Broken arrow at 16.8%.
- Higher depression rates are seen in Broken arrow at 25.0% versus 20.3% in Palm bay.
- Smoking is more prevalent in Palm bay at 19.6% compared to 14.9% in Broken arrow.
- Binge drinking is more common in Palm bay at 15.8% compared to 15.0% in Broken arrow.
- Obesity rates are higher in Palm bay at 34.9% compared to 34.6% in Broken arrow.
- Disability percentages are higher in Palm bay at 16.0% compared to 11.0% in Broken arrow.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Palm bay | Broken arrow |
---|---|---|
No Schooling | 0.9% (1,215) | 0.8% (935) |
High School Diploma | 17.2% (22,173) | 13.2% (15,535) |
Less than High School | 11.5% (14,805) | 6.6% (7,783) |
Bachelor's Degree and Higher | 14.6% (18,880) | 22.2% (26,196) |
Education Levels Comparison: Palm bay vs Broken arrow
- A higher percentage of residents in Palm bay have no formal schooling at 0.9% compared to 0.8% in Broken arrow.
- A higher percentage of residents in Palm bay hold a high school diploma at 17.2% compared to 13.2% in Broken arrow.
- More residents in Palm bay have less than a high school education at 11.5% compared to 6.6% in Broken arrow.
- In Broken arrow, a larger share of residents have a bachelor's degree or higher at 22.2% 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.