Demographics details for Pine hill, NY vs Ocean city, NJ
Population Overview
Compare main population characteristics in Pine hill, NY vs Ocean city, NJ.
| Data | Pine hill | Ocean city |
|---|---|---|
| Population | 360 | 11,303 |
| Median Age | 55.5 years | 56.9 years |
| Median Income | $81,181 | $98,576 |
| Married Families | 37.0% | 53.0% |
| Poverty Level | 8% | Data is updating |
| Unemployment Rate | 4.2 | 3.2 |
Population Comparison: Pine hill vs Ocean city
- The population in Ocean city is higher at 11,303, compared to 360 in Pine hill.
- The median age in Ocean city is higher at 56.9 years, compared to 55.5 years in Pine hill.
- Ocean city has a higher median income of $98,576, compared to $81,181 in Pine hill.
- In Ocean city, the percentage of married families is higher at 53.0%, compared to 37.0% in Pine hill.
- Pine hill has a higher poverty level at 8% compared to 0% in Ocean city.
- The unemployment rate in Pine hill is higher at 4.2%, compared to 3.2% in Ocean city.
Demographics
Demographics Pine hill vs Ocean city provide insight into the diversity of the communities to compare.
| Demographic | Pine hill | Ocean city |
|---|---|---|
| Black | Data is updating | 3 |
| White | 57 | 86 |
| Asian | 40 | Data is updating |
| Hispanic | 2 | 8 |
| Two or More Races | 1 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Pine hill vs Ocean city
- In Ocean city, the percentage of Black residents is higher at 3% compared to 0% in Pine hill.
- The percentage of White residents is higher in Ocean city at 86% compared to 57% in Pine hill.
- The Asian population is larger in Pine hill at 40% compared to 0% in Ocean city.
- Ocean city has a higher percentage of Hispanic residents at 8%, compared to 2% in Pine hill.
- The percentage of residents identifying as two or more races is higher in Ocean city at 3%, compared to 1% in Pine hill.
- The percentage of American Indian residents is the same in both Pine hill and Ocean city at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Pine hill | Ocean city |
|---|---|---|
| Mental Health Not Good | 15.8% | 14.0% |
| Physical Health Not Good | 10.3% | 8.7% |
| Depression | 25.8% | 21.8% |
| Smoking | 15.9% | 11.9% |
| Binge Drinking | 19.4% | 20.3% |
| Obesity | 29.1% | 29.8% |
| Disability Percentage | 30.0% | 14.0% |
Health Statistics Comparison: Pine hill vs Ocean city
- More residents in Pine hill report poor mental health at 15.8% compared to 14.0% in Ocean city.
- Depression is more prevalent in Pine hill at 25.8% compared to 21.8% in Ocean city.
- Smoking is more prevalent in Pine hill at 15.9% compared to 11.9% in Ocean city.
- More residents engage in binge drinking in Ocean city at 20.3% compared to 19.4% in Pine hill.
- Ocean city has higher obesity rates at 29.8% compared to 29.1% in Pine hill.
- Disability percentages are higher in Pine hill at 30.0% 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 | Pine hill | Ocean city |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.4% (50) |
| High School Diploma | 10.8% (39) | 16.9% (1,907) |
| Less than High School | 12.8% (46) | 6.0% (676) |
| Bachelor's Degree and Higher | 60.3% (217) | 43.6% (4,926) |
Education Levels Comparison: Pine hill vs Ocean city
- In Ocean city, a larger percentage of residents lack formal schooling at 0.4% compared to 0.0% in Pine hill.
- In Ocean city, the rate of residents with high school diplomas is higher at 16.9% compared to 10.8% in Pine hill.
- More residents in Pine hill have less than a high school education at 12.8% compared to 6.0% in Ocean city.
- A higher percentage of residents in Pine hill hold a bachelor's degree or higher at 60.3% compared to 43.6% in Ocean city.
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.