Demographics details for Canton, MS vs Ocean city, NJ
Population Overview
Compare main population characteristics in Canton, MS vs Ocean city, NJ.
| Data | Canton | Ocean city |
|---|---|---|
| Population | 10,744 | 11,303 |
| Median Age | 35.6 years | 56.9 years |
| Median Income | $33,411 | $98,576 |
| Married Families | 20.0% | 53.0% |
| Poverty Level | 19% | Data is updating |
| Unemployment Rate | 5.2 | 3.2 |
Population Comparison: Canton vs Ocean city
- The population in Ocean city is higher at 11,303, compared to 10,744 in Canton.
- The median age in Ocean city is higher at 56.9 years, compared to 35.6 years in Canton.
- Ocean city has a higher median income of $98,576, compared to $33,411 in Canton.
- In Ocean city, the percentage of married families is higher at 53.0%, compared to 20.0% in Canton.
- Canton has a higher poverty level at 19% compared to 0% in Ocean city.
- The unemployment rate in Canton is higher at 5.2%, compared to 3.2% in Ocean city.
Demographics
Demographics Canton vs Ocean city provide insight into the diversity of the communities to compare.
| Demographic | Canton | Ocean city |
|---|---|---|
| Black | 76 | 3 |
| White | 16 | 86 |
| Asian | Data is updating | Data is updating |
| Hispanic | 7 | 8 |
| Two or More Races | 1 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Canton vs Ocean city
- A higher percentage of Black residents are in Canton at 76% compared to 3% in Ocean city.
- The percentage of White residents is higher in Ocean city at 86% compared to 16% in Canton.
- Both Canton and Ocean city have the same percentage of Asian residents at 0%.
- Ocean city has a higher percentage of Hispanic residents at 8%, compared to 7% in Canton.
- The percentage of residents identifying as two or more races is higher in Ocean city at 3%, compared to 1% in Canton.
- The percentage of American Indian residents is the same in both Canton and Ocean city at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Canton | Ocean city |
|---|---|---|
| Mental Health Not Good | 17.6% | 14.0% |
| Physical Health Not Good | 14.3% | 8.7% |
| Depression | 18.8% | 21.8% |
| Smoking | 21.7% | 11.9% |
| Binge Drinking | 12.6% | 20.3% |
| Obesity | 45.8% | 29.8% |
| Disability Percentage | 12.0% | 14.0% |
Health Statistics Comparison: Canton vs Ocean city
- More residents in Canton report poor mental health at 17.6% compared to 14.0% in Ocean city.
- Higher depression rates are seen in Ocean city at 21.8% versus 18.8% in Canton.
- Smoking is more prevalent in Canton at 21.7% compared to 11.9% in Ocean city.
- More residents engage in binge drinking in Ocean city at 20.3% compared to 12.6% in Canton.
- Obesity rates are higher in Canton at 45.8% compared to 29.8% in Ocean city.
- There is a higher percentage of disabled individuals in Ocean city at 14.0% compared to 12.0% in Canton.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Canton | Ocean city |
|---|---|---|
| No Schooling | 1.0% (103) | 0.4% (50) |
| High School Diploma | 17.6% (1,891) | 16.9% (1,907) |
| Less than High School | 17.2% (1,853) | 6.0% (676) |
| Bachelor's Degree and Higher | 14.8% (1,587) | 43.6% (4,926) |
Education Levels Comparison: Canton vs Ocean city
- A higher percentage of residents in Canton have no formal schooling at 1.0% compared to 0.4% in Ocean city.
- A higher percentage of residents in Canton hold a high school diploma at 17.6% compared to 16.9% in Ocean city.
- More residents in Canton have less than a high school education at 17.2% compared to 6.0% in Ocean city.
- In Ocean city, a larger share of residents have a bachelor's degree or higher at 43.6% compared to 14.8% 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.