Demographics details for Schaller, IA vs Ocean city, NJ
Population Overview
Compare main population characteristics in Schaller, IA vs Ocean city, NJ.
| Data | Schaller | Ocean city |
|---|---|---|
| Population | 718 | 11,303 |
| Median Age | 36.9 years | 56.9 years |
| Median Income | $64,063 | $98,576 |
| Married Families | 42.0% | 53.0% |
| Poverty Level | Data is updating | Data is updating |
| Unemployment Rate | 3.4 | 3.2 |
Population Comparison: Schaller vs Ocean city
- The population in Ocean city is higher at 11,303, compared to 718 in Schaller.
- The median age in Ocean city is higher at 56.9 years, compared to 36.9 years in Schaller.
- Ocean city has a higher median income of $98,576, compared to $64,063 in Schaller.
- In Ocean city, the percentage of married families is higher at 53.0%, compared to 42.0% in Schaller.
- The poverty level is identical in both Schaller and Ocean city at 0%.
- The unemployment rate in Schaller is higher at 3.4%, compared to 3.2% in Ocean city.
Demographics
Demographics Schaller vs Ocean city provide insight into the diversity of the communities to compare.
| Demographic | Schaller | Ocean city |
|---|---|---|
| Black | Data is updating | 3 |
| White | 68 | 86 |
| Asian | Data is updating | Data is updating |
| Hispanic | 24 | 8 |
| Two or More Races | 8 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Schaller vs Ocean city
- In Ocean city, the percentage of Black residents is higher at 3% compared to 0% in Schaller.
- The percentage of White residents is higher in Ocean city at 86% compared to 68% in Schaller.
- Both Schaller and Ocean city have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Schaller at 24% compared to 8% in Ocean city.
- More residents identify as two or more races in Schaller at 8% compared to 3% in Ocean city.
- The percentage of American Indian residents is the same in both Schaller and Ocean city at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Schaller | Ocean city |
|---|---|---|
| Mental Health Not Good | 15.9% | 14.0% |
| Physical Health Not Good | 10.3% | 8.7% |
| Depression | 18.7% | 21.8% |
| Smoking | 18.2% | 11.9% |
| Binge Drinking | 21.4% | 20.3% |
| Obesity | 39.6% | 29.8% |
| Disability Percentage | 10.0% | 14.0% |
Health Statistics Comparison: Schaller vs Ocean city
- More residents in Schaller 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 18.7% in Schaller.
- Smoking is more prevalent in Schaller at 18.2% compared to 11.9% in Ocean city.
- Binge drinking is more common in Schaller at 21.4% compared to 20.3% in Ocean city.
- Obesity rates are higher in Schaller at 39.6% compared to 29.8% in Ocean city.
- There is a higher percentage of disabled individuals in Ocean city at 14.0% compared to 10.0% in Schaller.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Schaller | Ocean city |
|---|---|---|
| No Schooling | 2.9% (21) | 0.4% (50) |
| High School Diploma | 23.5% (169) | 16.9% (1,907) |
| Less than High School | 19.2% (138) | 6.0% (676) |
| Bachelor's Degree and Higher | 9.7% (70) | 43.6% (4,926) |
Education Levels Comparison: Schaller vs Ocean city
- A higher percentage of residents in Schaller have no formal schooling at 2.9% compared to 0.4% in Ocean city.
- A higher percentage of residents in Schaller hold a high school diploma at 23.5% compared to 16.9% in Ocean city.
- More residents in Schaller have less than a high school education at 19.2% 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 9.7% in Schaller.
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.