Demographics details for Canton, PA vs Port charlotte, FL
Population Overview
Compare main population characteristics in Canton, PA vs Port charlotte, FL.
Data | Canton | Port charlotte |
---|---|---|
Population | 1,719 | 63,913 |
Median Age | 34.2 years | 55.6 years |
Median Income | $41,000 | $58,799 |
Married Families | 37.0% | 45.0% |
Poverty Level | 10% | 11% |
Unemployment Rate | 4.5 | 4.2 |
Population Comparison: Canton vs Port charlotte
- The population in Port charlotte is higher at 63,913, compared to 1,719 in Canton.
- The median age in Port charlotte is higher at 55.6 years, compared to 34.2 years in Canton.
- Port charlotte has a higher median income of $58,799, compared to $41,000 in Canton.
- In Port charlotte, the percentage of married families is higher at 45.0%, compared to 37.0% in Canton.
- The poverty level is higher in Port charlotte at 11%, compared to 10% in Canton.
- The unemployment rate in Canton is higher at 4.5%, compared to 4.2% in Port charlotte.
Demographics
Demographics Canton vs Port charlotte provide insight into the diversity of the communities to compare.
Demographic | Canton | Port charlotte |
---|---|---|
Black | Data is updating | 7 |
White | 100 | 71 |
Asian | Data is updating | 2 |
Hispanic | Data is updating | 12 |
Two or More Races | Data is updating | 8 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Canton vs Port charlotte
- In Port charlotte, the percentage of Black residents is higher at 7% compared to 0% in Canton.
- Canton has a higher percentage of White residents at 100% compared to 71% in Port charlotte.
- In Port charlotte, the Asian population stands at 2%, greater than 0% in Canton.
- Port charlotte has a higher percentage of Hispanic residents at 12%, compared to 0% in Canton.
- The percentage of residents identifying as two or more races is higher in Port charlotte at 8%, compared to 0% in Canton.
- The percentage of American Indian residents is the same in both Canton and Port charlotte at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Canton | Port charlotte |
---|---|---|
Mental Health Not Good | 18.9% | 17.2% |
Physical Health Not Good | 13.2% | 11.9% |
Depression | 25.9% | 20.7% |
Smoking | 23.5% | 22.0% |
Binge Drinking | 17.4% | 16.6% |
Obesity | 42.4% | 31.0% |
Disability Percentage | 20.0% | 23.0% |
Health Statistics Comparison: Canton vs Port charlotte
- More residents in Canton report poor mental health at 18.9% compared to 17.2% in Port charlotte.
- Depression is more prevalent in Canton at 25.9% compared to 20.7% in Port charlotte.
- Smoking is more prevalent in Canton at 23.5% compared to 22.0% in Port charlotte.
- Binge drinking is more common in Canton at 17.4% compared to 16.6% in Port charlotte.
- Obesity rates are higher in Canton at 42.4% compared to 31.0% in Port charlotte.
- There is a higher percentage of disabled individuals in Port charlotte at 23.0% compared to 20.0% in Canton.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Canton | Port charlotte |
---|---|---|
No Schooling | 0.5% (8) | 1.4% (901) |
High School Diploma | 27.9% (479) | 24.2% (15,437) |
Less than High School | 14.1% (243) | 14.7% (9,408) |
Bachelor's Degree and Higher | 13.4% (231) | 16.0% (10,215) |
Education Levels Comparison: Canton vs Port charlotte
- In Port charlotte, a larger percentage of residents lack formal schooling at 1.4% compared to 0.5% in Canton.
- A higher percentage of residents in Canton hold a high school diploma at 27.9% compared to 24.2% in Port charlotte.
- The percentage of residents with less than a high school education is higher in Port charlotte at 14.7%, compared to 14.1% in Canton.
- In Port charlotte, a larger share of residents have a bachelor's degree or higher at 16.0% compared to 13.4% in Canton.
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.