Demographics details for Charleston, SC vs Palm bay, FL
Population Overview
Compare main population characteristics in Charleston, SC vs Palm bay, FL.
Data | Charleston | Palm bay |
---|---|---|
Population | 153,672 | 129,234 |
Median Age | 36.3 years | 41.8 years |
Median Income | $83,891 | $62,538 |
Married Families | 37.0% | 37.0% |
Poverty Level | 12% | 10% |
Unemployment Rate | 3.8 | 4.0 |
Population Comparison: Charleston vs Palm bay
- In Charleston, the population is higher at 153,672, compared to 129,234 in Palm bay.
- The median age in Palm bay is higher at 41.8 years, compared to 36.3 years in Charleston.
- Charleston has a higher median income of $83,891 compared to $62,538 in Palm bay.
- The percentage of married families is the same in both Charleston and Palm bay at 37.0%.
- Charleston has a higher poverty level at 12% compared to 10% in Palm bay.
- Palm bay has a higher unemployment rate at 4.0% compared to 3.8% in Charleston.
Demographics
Demographics Charleston vs Palm bay provide insight into the diversity of the communities to compare.
Demographic | Charleston | Palm bay |
---|---|---|
Black | 18 | 18 |
White | 71 | 51 |
Asian | 2 | 2 |
Hispanic | 5 | 17 |
Two or More Races | 4 | 12 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Charleston vs Palm bay
- The percentage of Black residents is the same in both Charleston and Palm bay at 18%.
- Charleston has a higher percentage of White residents at 71% compared to 51% in Palm bay.
- Both Charleston and Palm bay have the same percentage of Asian residents at 2%.
- Palm bay has a higher percentage of Hispanic residents at 17%, compared to 5% in Charleston.
- The percentage of residents identifying as two or more races is higher in Palm bay at 12%, compared to 4% in Charleston.
- The percentage of American Indian residents is the same in both Charleston and Palm bay at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Charleston | Palm bay |
---|---|---|
Mental Health Not Good | 15.6% | 16.8% |
Physical Health Not Good | 9.4% | 11.5% |
Depression | 19.6% | 20.3% |
Smoking | 13.0% | 19.6% |
Binge Drinking | 23.0% | 15.8% |
Obesity | 31.8% | 34.9% |
Disability Percentage | 9.0% | 16.0% |
Health Statistics Comparison: Charleston vs Palm bay
- In Palm bay, a higher percentage report poor mental health at 16.8% compared to 15.6% in Charleston.
- Higher depression rates are seen in Palm bay at 20.3% versus 19.6% in Charleston.
- Palm bay has a higher smoking rate at 19.6% compared to 13.0% in Charleston.
- Binge drinking is more common in Charleston at 23.0% compared to 15.8% in Palm bay.
- Palm bay has higher obesity rates at 34.9% compared to 31.8% in Charleston.
- There is a higher percentage of disabled individuals in Palm bay at 16.0% compared to 9.0% in Charleston.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Charleston | Palm bay |
---|---|---|
No Schooling | 0.4% (646) | 0.9% (1,215) |
High School Diploma | 9.1% (13,959) | 17.2% (22,173) |
Less than High School | 4.3% (6,655) | 11.5% (14,805) |
Bachelor's Degree and Higher | 39.9% (61,263) | 14.6% (18,880) |
Education Levels Comparison: Charleston vs Palm bay
- In Palm bay, a larger percentage of residents lack formal schooling at 0.9% compared to 0.4% in Charleston.
- In Palm bay, the rate of residents with high school diplomas is higher at 17.2% compared to 9.1% in Charleston.
- The percentage of residents with less than a high school education is higher in Palm bay at 11.5%, compared to 4.3% in Charleston.
- A higher percentage of residents in Charleston hold a bachelor's degree or higher at 39.9% 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.