Demographics details for Clyde, OH vs Ocean city, NJ
Population Overview
Compare main population characteristics in Clyde, OH vs Ocean city, NJ.
| Data | Clyde | Ocean city |
|---|---|---|
| Population | 6,318 | 11,303 |
| Median Age | 49.0 years | 56.9 years |
| Median Income | $55,956 | $98,576 |
| Married Families | 40.0% | 53.0% |
| Poverty Level | 10% | Data is updating |
| Unemployment Rate | 4.5 | 3.2 |
Population Comparison: Clyde vs Ocean city
- The population in Ocean city is higher at 11,303, compared to 6,318 in Clyde.
- The median age in Ocean city is higher at 56.9 years, compared to 49.0 years in Clyde.
- Ocean city has a higher median income of $98,576, compared to $55,956 in Clyde.
- In Ocean city, the percentage of married families is higher at 53.0%, compared to 40.0% in Clyde.
- Clyde has a higher poverty level at 10% compared to 0% in Ocean city.
- The unemployment rate in Clyde is higher at 4.5%, compared to 3.2% in Ocean city.
Demographics
Demographics Clyde vs Ocean city provide insight into the diversity of the communities to compare.
| Demographic | Clyde | Ocean city |
|---|---|---|
| Black | 1 | 3 |
| White | 89 | 86 |
| Asian | Data is updating | Data is updating |
| Hispanic | 6 | 8 |
| Two or More Races | 3 | 3 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Clyde vs Ocean city
- In Ocean city, the percentage of Black residents is higher at 3% compared to 1% in Clyde.
- Clyde has a higher percentage of White residents at 89% compared to 86% in Ocean city.
- Both Clyde 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 6% in Clyde.
- Both Clyde and Ocean city have the same percentage of residents identifying as two or more races at 3%.
- A greater percentage of American Indian residents live in Clyde at 1% compared to 0% in Ocean city.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Clyde | Ocean city |
|---|---|---|
| Mental Health Not Good | 17.6% | 14.0% |
| Physical Health Not Good | 12.0% | 8.7% |
| Depression | 22.9% | 21.8% |
| Smoking | 21.8% | 11.9% |
| Binge Drinking | 18.7% | 20.3% |
| Obesity | 41.8% | 29.8% |
| Disability Percentage | 21.0% | 14.0% |
Health Statistics Comparison: Clyde vs Ocean city
- More residents in Clyde report poor mental health at 17.6% compared to 14.0% in Ocean city.
- Depression is more prevalent in Clyde at 22.9% compared to 21.8% in Ocean city.
- Smoking is more prevalent in Clyde at 21.8% compared to 11.9% in Ocean city.
- More residents engage in binge drinking in Ocean city at 20.3% compared to 18.7% in Clyde.
- Obesity rates are higher in Clyde at 41.8% compared to 29.8% in Ocean city.
- Disability percentages are higher in Clyde at 21.0% compared to 14.0% in Ocean city.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Clyde | Ocean city |
|---|---|---|
| No Schooling | 0.5% (30) | 0.4% (50) |
| High School Diploma | 23.4% (1,481) | 16.9% (1,907) |
| Less than High School | 11.2% (708) | 6.0% (676) |
| Bachelor's Degree and Higher | 15.3% (965) | 43.6% (4,926) |
Education Levels Comparison: Clyde vs Ocean city
- A higher percentage of residents in Clyde have no formal schooling at 0.5% compared to 0.4% in Ocean city.
- A higher percentage of residents in Clyde hold a high school diploma at 23.4% compared to 16.9% in Ocean city.
- More residents in Clyde have less than a high school education at 11.2% 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 15.3% in Clyde.
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.