Demographics details for Chesapeake, VA vs Ocean city, NJ
Population Overview
Compare main population characteristics in Chesapeake, VA vs Ocean city, NJ.
| Data | Chesapeake | Ocean city |
|---|---|---|
| Population | 252,488 | 11,303 |
| Median Age | 37.4 years | 56.9 years |
| Median Income | $92,703 | $98,576 |
| Married Families | 43.0% | 53.0% |
| Poverty Level | 8% | Data is updating |
| Unemployment Rate | 3.0 | 3.2 |
Population Comparison: Chesapeake vs Ocean city
- In Chesapeake, the population is higher at 252,488, compared to 11,303 in Ocean city.
- The median age in Ocean city is higher at 56.9 years, compared to 37.4 years in Chesapeake.
- Ocean city has a higher median income of $98,576, compared to $92,703 in Chesapeake.
- In Ocean city, the percentage of married families is higher at 53.0%, compared to 43.0% in Chesapeake.
- Chesapeake has a higher poverty level at 8% compared to 0% in Ocean city.
- Ocean city has a higher unemployment rate at 3.2% compared to 3.0% in Chesapeake.
Demographics
Demographics Chesapeake vs Ocean city provide insight into the diversity of the communities to compare.
| Demographic | Chesapeake | Ocean city |
|---|---|---|
| Black | 29 | 3 |
| White | 53 | 86 |
| Asian | 4 | Data is updating |
| Hispanic | 7 | 8 |
| Two or More Races | 7 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Chesapeake vs Ocean city
- A higher percentage of Black residents are in Chesapeake at 29% compared to 3% in Ocean city.
- The percentage of White residents is higher in Ocean city at 86% compared to 53% in Chesapeake.
- The Asian population is larger in Chesapeake at 4% compared to 0% in Ocean city.
- Ocean city has a higher percentage of Hispanic residents at 8%, compared to 7% in Chesapeake.
- More residents identify as two or more races in Chesapeake at 7% compared to 3% in Ocean city.
- The percentage of American Indian residents is the same in both Chesapeake and Ocean city at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Chesapeake | Ocean city |
|---|---|---|
| Mental Health Not Good | 15.9% | 14.0% |
| Physical Health Not Good | 10.0% | 8.7% |
| Depression | 20.9% | 21.8% |
| Smoking | 14.8% | 11.9% |
| Binge Drinking | 16.1% | 20.3% |
| Obesity | 36.1% | 29.8% |
| Disability Percentage | 11.0% | 14.0% |
Health Statistics Comparison: Chesapeake vs Ocean city
- More residents in Chesapeake report poor mental health at 15.9% compared to 14.0% in Ocean city.
- Higher depression rates are seen in Ocean city at 21.8% versus 20.9% in Chesapeake.
- Smoking is more prevalent in Chesapeake at 14.8% compared to 11.9% in Ocean city.
- More residents engage in binge drinking in Ocean city at 20.3% compared to 16.1% in Chesapeake.
- Obesity rates are higher in Chesapeake at 36.1% compared to 29.8% in Ocean city.
- There is a higher percentage of disabled individuals in Ocean city at 14.0% compared to 11.0% in Chesapeake.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Chesapeake | Ocean city |
|---|---|---|
| No Schooling | 0.8% (2,039) | 0.4% (50) |
| High School Diploma | 13.1% (33,024) | 16.9% (1,907) |
| Less than High School | 7.0% (17,684) | 6.0% (676) |
| Bachelor's Degree and Higher | 23.8% (60,160) | 43.6% (4,926) |
Education Levels Comparison: Chesapeake vs Ocean city
- A higher percentage of residents in Chesapeake have no formal schooling at 0.8% compared to 0.4% in Ocean city.
- In Ocean city, the rate of residents with high school diplomas is higher at 16.9% compared to 13.1% in Chesapeake.
- More residents in Chesapeake have less than a high school education at 7.0% 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 23.8% in Chesapeake.
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.