Demographics details for Foster, OK vs Ocean city, NJ
Population Overview
Compare main population characteristics in Foster, OK vs Ocean city, NJ.
| Data | Foster | Ocean city |
|---|---|---|
| Population | 247 | 11,303 |
| Median Age | 38.8 years | 56.9 years |
| Median Income | $68,871 | $98,576 |
| Married Families | 47.0% | 53.0% |
| Poverty Level | 12% | Data is updating |
| Unemployment Rate | 2.5 | 3.2 |
Population Comparison: Foster vs Ocean city
- The population in Ocean city is higher at 11,303, compared to 247 in Foster.
- The median age in Ocean city is higher at 56.9 years, compared to 38.8 years in Foster.
- Ocean city has a higher median income of $98,576, compared to $68,871 in Foster.
- In Ocean city, the percentage of married families is higher at 53.0%, compared to 47.0% in Foster.
- Foster has a higher poverty level at 12% compared to 0% in Ocean city.
- Ocean city has a higher unemployment rate at 3.2% compared to 2.5% in Foster.
Demographics
Demographics Foster vs Ocean city provide insight into the diversity of the communities to compare.
| Demographic | Foster | Ocean city |
|---|---|---|
| Black | Data is updating | 3 |
| White | 73 | 86 |
| Asian | Data is updating | Data is updating |
| Hispanic | Data is updating | 8 |
| Two or More Races | 20 | 3 |
| American Indian | 7 | Data is updating |
Demographics Comparison: Foster vs Ocean city
- In Ocean city, the percentage of Black residents is higher at 3% compared to 0% in Foster.
- The percentage of White residents is higher in Ocean city at 86% compared to 73% in Foster.
- Both Foster 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 0% in Foster.
- More residents identify as two or more races in Foster at 20% compared to 3% in Ocean city.
- A greater percentage of American Indian residents live in Foster at 7% compared to 0% in Ocean city.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Foster | Ocean city |
|---|---|---|
| Mental Health Not Good | 18.5% | 14.0% |
| Physical Health Not Good | 12.9% | 8.7% |
| Depression | 24.7% | 21.8% |
| Smoking | 21.6% | 11.9% |
| Binge Drinking | 15.3% | 20.3% |
| Obesity | 41.9% | 29.8% |
| Disability Percentage | 13.0% | 14.0% |
Health Statistics Comparison: Foster vs Ocean city
- More residents in Foster report poor mental health at 18.5% compared to 14.0% in Ocean city.
- Depression is more prevalent in Foster at 24.7% compared to 21.8% in Ocean city.
- Smoking is more prevalent in Foster at 21.6% compared to 11.9% in Ocean city.
- More residents engage in binge drinking in Ocean city at 20.3% compared to 15.3% in Foster.
- Obesity rates are higher in Foster at 41.9% compared to 29.8% in Ocean city.
- There is a higher percentage of disabled individuals in Ocean city at 14.0% compared to 13.0% in Foster.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Foster | Ocean city |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.4% (50) |
| High School Diploma | 30.4% (75) | 16.9% (1,907) |
| Less than High School | 8.1% (20) | 6.0% (676) |
| Bachelor's Degree and Higher | 22.3% (55) | 43.6% (4,926) |
Education Levels Comparison: Foster vs Ocean city
- In Ocean city, a larger percentage of residents lack formal schooling at 0.4% compared to 0.0% in Foster.
- A higher percentage of residents in Foster hold a high school diploma at 30.4% compared to 16.9% in Ocean city.
- More residents in Foster have less than a high school education at 8.1% 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 22.3% in Foster.
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.