Demographics details for Canton, PA vs Sterling, CT
Population Overview
Compare main population characteristics in Canton, PA vs Sterling, CT.
| Data | Canton | Sterling |
|---|---|---|
| Population | 1,719 | 3,830 |
| Median Age | 34.2 years | 42.0 years |
| Median Income | $41,000 | $85,000 |
| Married Families | 37.0% | 80.0% |
| Poverty Level | 10% | 5% |
| Unemployment Rate | 4.5 | 2.9 |
Population Comparison: Canton vs Sterling
- The population in Sterling is higher at 3,830, compared to 1,719 in Canton.
- The median age in Sterling is higher at 42.0 years, compared to 34.2 years in Canton.
- Sterling has a higher median income of $85,000, compared to $41,000 in Canton.
- In Sterling, the percentage of married families is higher at 80.0%, compared to 37.0% in Canton.
- Canton has a higher poverty level at 10% compared to 5% in Sterling.
- The unemployment rate in Canton is higher at 4.5%, compared to 2.9% in Sterling.
Demographics
Demographics Canton vs Sterling provide insight into the diversity of the communities to compare.
| Demographic | Canton | Sterling |
|---|---|---|
| Black | Data is updating | 2 |
| White | 100 | 95 |
| Asian | Data is updating | 1 |
| Hispanic | Data is updating | 2 |
| Two or More Races | Data is updating | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Canton vs Sterling
- In Sterling, the percentage of Black residents is higher at 2% compared to 0% in Canton.
- Canton has a higher percentage of White residents at 100% compared to 95% in Sterling.
- In Sterling, the Asian population stands at 1%, greater than 0% in Canton.
- Sterling has a higher percentage of Hispanic residents at 2%, compared to 0% in Canton.
- Both Canton and Sterling have the same percentage of residents identifying as two or more races at 0%.
- The percentage of American Indian residents is the same in both Canton and Sterling at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Canton | Sterling |
|---|---|---|
| Mental Health Not Good | 18.9% | Data is updating% |
| Physical Health Not Good | 13.2% | Data is updating% |
| Depression | 25.9% | Data is updating% |
| Smoking | 23.5% | Data is updating% |
| Binge Drinking | 17.4% | Data is updating% |
| Obesity | 42.4% | Data is updating% |
| Disability Percentage | 20.0% | Data is updating% |
Health Statistics Comparison: Canton vs Sterling
- More residents in Canton report poor mental health at 18.9% compared to 0.0% in Sterling.
- Depression is more prevalent in Canton at 25.9% compared to 0.0% in Sterling.
- Smoking is more prevalent in Canton at 23.5% compared to 0.0% in Sterling.
- Binge drinking is more common in Canton at 17.4% compared to 0.0% in Sterling.
- Obesity rates are higher in Canton at 42.4% compared to 0.0% in Sterling.
- Disability percentages are higher in Canton at 20.0% compared to 0.0% in Sterling.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Canton | Sterling |
|---|---|---|
| No Schooling | 0.5% (8) | 0.0% (Data is updating) |
| High School Diploma | 27.9% (479) | 0.0% (Data is updating) |
| Less than High School | 14.1% (243) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 13.4% (231) | 0.0% (Data is updating) |
Education Levels Comparison: Canton vs Sterling
- A higher percentage of residents in Canton have no formal schooling at 0.5% compared to 0.0% in Sterling.
- A higher percentage of residents in Canton hold a high school diploma at 27.9% compared to 0.0% in Sterling.
- More residents in Canton have less than a high school education at 14.1% compared to 0.0% in Sterling.
- A higher percentage of residents in Canton hold a bachelor's degree or higher at 13.4% compared to 0.0% in Sterling.
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.