Demographics details for Ocean city, NJ vs Hardy, KY
Population Overview
Compare main population characteristics in Ocean city, NJ vs Hardy, KY.
| Data | Ocean city | Hardy |
|---|---|---|
| Population | 11,303 | 129 |
| Median Age | 56.9 years | 40.0 years |
| Median Income | $98,576 | $40,000 |
| Married Families | 53.0% | 30.0% |
| Poverty Level | Data is updating | 20% |
| Unemployment Rate | 3.2 | 5.0 |
Population Comparison: Ocean city vs Hardy
- In Ocean city, the population is higher at 11,303, compared to 129 in Hardy.
- Residents in Ocean city have a higher median age of 56.9 years compared to 40.0 years in Hardy.
- Ocean city has a higher median income of $98,576 compared to $40,000 in Hardy.
- A higher percentage of married families is found in Ocean city at 53.0% compared to 30.0% in Hardy.
- The poverty level is higher in Hardy at 20%, compared to 0% in Ocean city.
- Hardy has a higher unemployment rate at 5.0% compared to 3.2% in Ocean city.
Demographics
Demographics Ocean city vs Hardy provide insight into the diversity of the communities to compare.
| Demographic | Ocean city | Hardy |
|---|---|---|
| Black | 3 | Data is updating |
| White | 86 | 100 |
| Asian | Data is updating | Data is updating |
| Hispanic | 8 | Data is updating |
| Two or More Races | 3 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Ocean city vs Hardy
- A higher percentage of Black residents are in Ocean city at 3% compared to 0% in Hardy.
- The percentage of White residents is higher in Hardy at 100% compared to 86% in Ocean city.
- Both Ocean city and Hardy have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Ocean city at 8% compared to 0% in Hardy.
- More residents identify as two or more races in Ocean city at 3% compared to 0% in Hardy.
- The percentage of American Indian residents is the same in both Ocean city and Hardy at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Ocean city | Hardy |
|---|---|---|
| Mental Health Not Good | 14.0% | Data is updating% |
| Physical Health Not Good | 8.7% | Data is updating% |
| Depression | 21.8% | Data is updating% |
| Smoking | 11.9% | Data is updating% |
| Binge Drinking | 20.3% | Data is updating% |
| Obesity | 29.8% | Data is updating% |
| Disability Percentage | 14.0% | Data is updating% |
Health Statistics Comparison: Ocean city vs Hardy
- More residents in Ocean city report poor mental health at 14.0% compared to 0.0% in Hardy.
- Depression is more prevalent in Ocean city at 21.8% compared to 0.0% in Hardy.
- Smoking is more prevalent in Ocean city at 11.9% compared to 0.0% in Hardy.
- Binge drinking is more common in Ocean city at 20.3% compared to 0.0% in Hardy.
- Obesity rates are higher in Ocean city at 29.8% compared to 0.0% in Hardy.
- Disability percentages are higher in Ocean city at 14.0% compared to 0.0% in Hardy.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Ocean city | Hardy |
|---|---|---|
| No Schooling | 0.4% (50) | 0.0% (Data is updating) |
| High School Diploma | 16.9% (1,907) | 0.0% (Data is updating) |
| Less than High School | 6.0% (676) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 43.6% (4,926) | 0.0% (Data is updating) |
Education Levels Comparison: Ocean city vs Hardy
- A higher percentage of residents in Ocean city have no formal schooling at 0.4% compared to 0.0% in Hardy.
- A higher percentage of residents in Ocean city hold a high school diploma at 16.9% compared to 0.0% in Hardy.
- More residents in Ocean city have less than a high school education at 6.0% compared to 0.0% in Hardy.
- A higher percentage of residents in Ocean city hold a bachelor's degree or higher at 43.6% compared to 0.0% in Hardy.
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.