Demographics details for Port charlotte, FL vs Bladen, NE
Population Overview
Compare main population characteristics in Port charlotte, FL vs Bladen, NE.
Data | Port charlotte | Bladen |
---|---|---|
Population | 63,913 | 198 |
Median Age | 55.6 years | 45.9 years |
Median Income | $58,799 | $61,250 |
Married Families | 45.0% | 51.0% |
Poverty Level | 11% | 13% |
Unemployment Rate | 4.2 | 2.0 |
Population Comparison: Port charlotte vs Bladen
- In Port charlotte, the population is higher at 63,913, compared to 198 in Bladen.
- Residents in Port charlotte have a higher median age of 55.6 years compared to 45.9 years in Bladen.
- Bladen has a higher median income of $61,250, compared to $58,799 in Port charlotte.
- In Bladen, the percentage of married families is higher at 51.0%, compared to 45.0% in Port charlotte.
- The poverty level is higher in Bladen at 13%, compared to 11% in Port charlotte.
- The unemployment rate in Port charlotte is higher at 4.2%, compared to 2.0% in Bladen.
Demographics
Demographics Port charlotte vs Bladen provide insight into the diversity of the communities to compare.
Demographic | Port charlotte | Bladen |
---|---|---|
Black | 7 | Data is updating |
White | 71 | 89 |
Asian | 2 | Data is updating |
Hispanic | 12 | 7 |
Two or More Races | 8 | 4 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Port charlotte vs Bladen
- A higher percentage of Black residents are in Port charlotte at 7% compared to 0% in Bladen.
- The percentage of White residents is higher in Bladen at 89% compared to 71% in Port charlotte.
- The Asian population is larger in Port charlotte at 2% compared to 0% in Bladen.
- The Hispanic community is larger in Port charlotte at 12% compared to 7% in Bladen.
- More residents identify as two or more races in Port charlotte at 8% compared to 4% in Bladen.
- The percentage of American Indian residents is the same in both Port charlotte and Bladen at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Port charlotte | Bladen |
---|---|---|
Mental Health Not Good | 17.2% | 12.8% |
Physical Health Not Good | 11.9% | 8.5% |
Depression | 20.7% | 16.4% |
Smoking | 22.0% | 14.3% |
Binge Drinking | 16.6% | 22.5% |
Obesity | 31.0% | 40.5% |
Disability Percentage | 23.0% | 16.0% |
Health Statistics Comparison: Port charlotte vs Bladen
- More residents in Port charlotte report poor mental health at 17.2% compared to 12.8% in Bladen.
- Depression is more prevalent in Port charlotte at 20.7% compared to 16.4% in Bladen.
- Smoking is more prevalent in Port charlotte at 22.0% compared to 14.3% in Bladen.
- More residents engage in binge drinking in Bladen at 22.5% compared to 16.6% in Port charlotte.
- Bladen has higher obesity rates at 40.5% compared to 31.0% in Port charlotte.
- Disability percentages are higher in Port charlotte at 23.0% compared to 16.0% in Bladen.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Port charlotte | Bladen |
---|---|---|
No Schooling | 1.4% (901) | 2.5% (5) |
High School Diploma | 24.2% (15,437) | 32.3% (64) |
Less than High School | 14.7% (9,408) | 7.1% (14) |
Bachelor's Degree and Higher | 16.0% (10,215) | 11.6% (23) |
Education Levels Comparison: Port charlotte vs Bladen
- In Bladen, a larger percentage of residents lack formal schooling at 2.5% compared to 1.4% in Port charlotte.
- In Bladen, the rate of residents with high school diplomas is higher at 32.3% compared to 24.2% in Port charlotte.
- More residents in Port charlotte have less than a high school education at 14.7% compared to 7.1% in Bladen.
- A higher percentage of residents in Port charlotte hold a bachelor's degree or higher at 16.0% compared to 11.6% in Bladen.
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.