Demographics details for Hanover, NH vs Ocean city, NJ
Population Overview
Compare main population characteristics in Hanover, NH vs Ocean city, NJ.
| Data | Hanover | Ocean city |
|---|---|---|
| Population | 8,234 | 11,303 |
| Median Age | 22.0 years | 56.9 years |
| Median Income | $111,958 | $98,576 |
| Married Families | 30.0% | 53.0% |
| Poverty Level | 14% | Data is updating |
| Unemployment Rate | 2.5 | 3.2 |
Population Comparison: Hanover vs Ocean city
- The population in Ocean city is higher at 11,303, compared to 8,234 in Hanover.
- The median age in Ocean city is higher at 56.9 years, compared to 22.0 years in Hanover.
- Hanover has a higher median income of $111,958 compared to $98,576 in Ocean city.
- In Ocean city, the percentage of married families is higher at 53.0%, compared to 30.0% in Hanover.
- Hanover has a higher poverty level at 14% compared to 0% in Ocean city.
- Ocean city has a higher unemployment rate at 3.2% compared to 2.5% in Hanover.
Demographics
Demographics Hanover vs Ocean city provide insight into the diversity of the communities to compare.
| Demographic | Hanover | Ocean city |
|---|---|---|
| Black | 5 | 3 |
| White | 68 | 86 |
| Asian | 11 | Data is updating |
| Hispanic | 6 | 8 |
| Two or More Races | 10 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Hanover vs Ocean city
- A higher percentage of Black residents are in Hanover at 5% compared to 3% in Ocean city.
- The percentage of White residents is higher in Ocean city at 86% compared to 68% in Hanover.
- The Asian population is larger in Hanover at 11% compared to 0% in Ocean city.
- Ocean city has a higher percentage of Hispanic residents at 8%, compared to 6% in Hanover.
- More residents identify as two or more races in Hanover at 10% compared to 3% in Ocean city.
- The percentage of American Indian residents is the same in both Hanover and Ocean city at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Hanover | Ocean city |
|---|---|---|
| Mental Health Not Good | 13.9% | 14.0% |
| Physical Health Not Good | 8.3% | 8.7% |
| Depression | 23.1% | 21.8% |
| Smoking | 11.8% | 11.9% |
| Binge Drinking | 16.8% | 20.3% |
| Obesity | 27.7% | 29.8% |
| Disability Percentage | 6.0% | 14.0% |
Health Statistics Comparison: Hanover vs Ocean city
- In Ocean city, a higher percentage report poor mental health at 14.0% compared to 13.9% in Hanover.
- Depression is more prevalent in Hanover at 23.1% compared to 21.8% in Ocean city.
- Ocean city has a higher smoking rate at 11.9% compared to 11.8% in Hanover.
- More residents engage in binge drinking in Ocean city at 20.3% compared to 16.8% in Hanover.
- Ocean city has higher obesity rates at 29.8% compared to 27.7% in Hanover.
- There is a higher percentage of disabled individuals in Ocean city at 14.0% compared to 6.0% in Hanover.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Hanover | Ocean city |
|---|---|---|
| No Schooling | 0.2% (20) | 0.4% (50) |
| High School Diploma | 1.2% (102) | 16.9% (1,907) |
| Less than High School | 1.7% (143) | 6.0% (676) |
| Bachelor's Degree and Higher | 39.4% (3,242) | 43.6% (4,926) |
Education Levels Comparison: Hanover vs Ocean city
- In Ocean city, a larger percentage of residents lack formal schooling at 0.4% compared to 0.2% in Hanover.
- In Ocean city, the rate of residents with high school diplomas is higher at 16.9% compared to 1.2% in Hanover.
- The percentage of residents with less than a high school education is higher in Ocean city at 6.0%, compared to 1.7% in Hanover.
- In Ocean city, a larger share of residents have a bachelor's degree or higher at 43.6% compared to 39.4% in Hanover.
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.