Demographics details for Odessa, TX vs Palm bay, FL
Population Overview
Compare main population characteristics in Odessa, TX vs Palm bay, FL.
| Data | Odessa | Palm bay |
|---|---|---|
| Population | 112,906 | 129,234 |
| Median Age | 30.7 years | 41.8 years |
| Median Income | $71,293 | $62,538 |
| Married Families | 36.0% | 37.0% |
| Poverty Level | 15% | 10% |
| Unemployment Rate | 3.8 | 4.0 |
Population Comparison: Odessa vs Palm bay
- The population in Palm bay is higher at 129,234, compared to 112,906 in Odessa.
- The median age in Palm bay is higher at 41.8 years, compared to 30.7 years in Odessa.
- Odessa has a higher median income of $71,293 compared to $62,538 in Palm bay.
- In Palm bay, the percentage of married families is higher at 37.0%, compared to 36.0% in Odessa.
- Odessa has a higher poverty level at 15% compared to 10% in Palm bay.
- Palm bay has a higher unemployment rate at 4.0% compared to 3.8% in Odessa.
Demographics
Demographics Odessa vs Palm bay provide insight into the diversity of the communities to compare.
| Demographic | Odessa | Palm bay |
|---|---|---|
| Black | 7 | 18 |
| White | 13 | 51 |
| Asian | 2 | 2 |
| Hispanic | 62 | 17 |
| Two or More Races | 15 | 12 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Odessa vs Palm bay
- In Palm bay, the percentage of Black residents is higher at 18% compared to 7% in Odessa.
- The percentage of White residents is higher in Palm bay at 51% compared to 13% in Odessa.
- Both Odessa and Palm bay have the same percentage of Asian residents at 2%.
- The Hispanic community is larger in Odessa at 62% compared to 17% in Palm bay.
- More residents identify as two or more races in Odessa at 15% compared to 12% in Palm bay.
- A greater percentage of American Indian residents live in Odessa at 1% compared to 0% in Palm bay.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Odessa | Palm bay |
|---|---|---|
| Mental Health Not Good | 16.9% | 16.8% |
| Physical Health Not Good | 12.5% | 11.5% |
| Depression | 22.9% | 20.3% |
| Smoking | 16.5% | 19.6% |
| Binge Drinking | 17.2% | 15.8% |
| Obesity | 37.4% | 34.9% |
| Disability Percentage | 10.0% | 16.0% |
Health Statistics Comparison: Odessa vs Palm bay
- More residents in Odessa report poor mental health at 16.9% compared to 16.8% in Palm bay.
- Depression is more prevalent in Odessa at 22.9% compared to 20.3% in Palm bay.
- Palm bay has a higher smoking rate at 19.6% compared to 16.5% in Odessa.
- Binge drinking is more common in Odessa at 17.2% compared to 15.8% in Palm bay.
- Obesity rates are higher in Odessa at 37.4% compared to 34.9% in Palm bay.
- There is a higher percentage of disabled individuals in Palm bay at 16.0% compared to 10.0% in Odessa.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Odessa | Palm bay |
|---|---|---|
| No Schooling | 1.8% (2,019) | 0.9% (1,215) |
| High School Diploma | 14.3% (16,149) | 17.2% (22,173) |
| Less than High School | 22.4% (25,268) | 11.5% (14,805) |
| Bachelor's Degree and Higher | 11.2% (12,609) | 14.6% (18,880) |
Education Levels Comparison: Odessa vs Palm bay
- A higher percentage of residents in Odessa have no formal schooling at 1.8% compared to 0.9% in Palm bay.
- In Palm bay, the rate of residents with high school diplomas is higher at 17.2% compared to 14.3% in Odessa.
- More residents in Odessa have less than a high school education at 22.4% compared to 11.5% in Palm bay.
- In Palm bay, a larger share of residents have a bachelor's degree or higher at 14.6% compared to 11.2% in Odessa.
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.