Demographics details for Palm bay, FL vs Lima, OH
Population Overview
Compare main population characteristics in Palm bay, FL vs Lima, OH.
| Data | Palm bay | Lima |
|---|---|---|
| Population | 129,234 | 34,977 |
| Median Age | 41.8 years | 34.7 years |
| Median Income | $62,538 | $41,824 |
| Married Families | 37.0% | 23.0% |
| Poverty Level | 10% | 20% |
| Unemployment Rate | 4.0 | 6.9 |
Population Comparison: Palm bay vs Lima
- In Palm bay, the population is higher at 129,234, compared to 34,977 in Lima.
- Residents in Palm bay have a higher median age of 41.8 years compared to 34.7 years in Lima.
- Palm bay has a higher median income of $62,538 compared to $41,824 in Lima.
- A higher percentage of married families is found in Palm bay at 37.0% compared to 23.0% in Lima.
- The poverty level is higher in Lima at 20%, compared to 10% in Palm bay.
- Lima has a higher unemployment rate at 6.9% compared to 4.0% in Palm bay.
Demographics
Demographics Palm bay vs Lima provide insight into the diversity of the communities to compare.
| Demographic | Palm bay | Lima |
|---|---|---|
| Black | 18 | 24 |
| White | 51 | 62 |
| Asian | 2 | Data is updating |
| Hispanic | 17 | 5 |
| Two or More Races | 12 | 9 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Palm bay vs Lima
- In Lima, the percentage of Black residents is higher at 24% compared to 18% in Palm bay.
- The percentage of White residents is higher in Lima at 62% compared to 51% in Palm bay.
- The Asian population is larger in Palm bay at 2% compared to 0% in Lima.
- The Hispanic community is larger in Palm bay at 17% compared to 5% in Lima.
- More residents identify as two or more races in Palm bay at 12% compared to 9% in Lima.
- The percentage of American Indian residents is the same in both Palm bay and Lima at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Palm bay | Lima |
|---|---|---|
| Mental Health Not Good | 16.8% | 19.6% |
| Physical Health Not Good | 11.5% | 15.0% |
| Depression | 20.3% | 25.0% |
| Smoking | 19.6% | 27.2% |
| Binge Drinking | 15.8% | 17.3% |
| Obesity | 34.9% | 47.4% |
| Disability Percentage | 16.0% | 19.0% |
Health Statistics Comparison: Palm bay vs Lima
- In Lima, a higher percentage report poor mental health at 19.6% compared to 16.8% in Palm bay.
- Higher depression rates are seen in Lima at 25.0% versus 20.3% in Palm bay.
- Lima has a higher smoking rate at 27.2% compared to 19.6% in Palm bay.
- More residents engage in binge drinking in Lima at 17.3% compared to 15.8% in Palm bay.
- Lima has higher obesity rates at 47.4% compared to 34.9% in Palm bay.
- There is a higher percentage of disabled individuals in Lima at 19.0% compared to 16.0% in Palm bay.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Palm bay | Lima |
|---|---|---|
| No Schooling | 0.9% (1,215) | 0.7% (247) |
| High School Diploma | 17.2% (22,173) | 22.7% (7,927) |
| Less than High School | 11.5% (14,805) | 12.9% (4,523) |
| Bachelor's Degree and Higher | 14.6% (18,880) | 7.0% (2,437) |
Education Levels Comparison: Palm bay vs Lima
- A higher percentage of residents in Palm bay have no formal schooling at 0.9% compared to 0.7% in Lima.
- In Lima, the rate of residents with high school diplomas is higher at 22.7% compared to 17.2% in Palm bay.
- The percentage of residents with less than a high school education is higher in Lima at 12.9%, compared to 11.5% in Palm bay.
- A higher percentage of residents in Palm bay hold a bachelor's degree or higher at 14.6% compared to 7.0% in Lima.
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.