Demographics details for Owatonna, MN vs Ocean city, NJ
Population Overview
Compare main population characteristics in Owatonna, MN vs Ocean city, NJ.
| Data | Owatonna | Ocean city |
|---|---|---|
| Population | 26,470 | 11,303 |
| Median Age | 40.0 years | 56.9 years |
| Median Income | $78,295 | $98,576 |
| Married Families | 44.0% | 53.0% |
| Poverty Level | 7% | Data is updating |
| Unemployment Rate | 4.2 | 3.2 |
Population Comparison: Owatonna vs Ocean city
- In Owatonna, the population is higher at 26,470, compared to 11,303 in Ocean city.
- The median age in Ocean city is higher at 56.9 years, compared to 40.0 years in Owatonna.
- Ocean city has a higher median income of $98,576, compared to $78,295 in Owatonna.
- In Ocean city, the percentage of married families is higher at 53.0%, compared to 44.0% in Owatonna.
- Owatonna has a higher poverty level at 7% compared to 0% in Ocean city.
- The unemployment rate in Owatonna is higher at 4.2%, compared to 3.2% in Ocean city.
Demographics
Demographics Owatonna vs Ocean city provide insight into the diversity of the communities to compare.
| Demographic | Owatonna | Ocean city |
|---|---|---|
| Black | 4 | 3 |
| White | 83 | 86 |
| Asian | Data is updating | Data is updating |
| Hispanic | 7 | 8 |
| Two or More Races | 6 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Owatonna vs Ocean city
- A higher percentage of Black residents are in Owatonna at 4% compared to 3% in Ocean city.
- The percentage of White residents is higher in Ocean city at 86% compared to 83% in Owatonna.
- Both Owatonna 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 7% in Owatonna.
- More residents identify as two or more races in Owatonna at 6% compared to 3% in Ocean city.
- The percentage of American Indian residents is the same in both Owatonna and Ocean city at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Owatonna | Ocean city |
|---|---|---|
| Mental Health Not Good | 15.1% | 14.0% |
| Physical Health Not Good | 9.3% | 8.7% |
| Depression | 23.9% | 21.8% |
| Smoking | 18.0% | 11.9% |
| Binge Drinking | 20.6% | 20.3% |
| Obesity | 40.3% | 29.8% |
| Disability Percentage | 12.0% | 14.0% |
Health Statistics Comparison: Owatonna vs Ocean city
- More residents in Owatonna report poor mental health at 15.1% compared to 14.0% in Ocean city.
- Depression is more prevalent in Owatonna at 23.9% compared to 21.8% in Ocean city.
- Smoking is more prevalent in Owatonna at 18.0% compared to 11.9% in Ocean city.
- Binge drinking is more common in Owatonna at 20.6% compared to 20.3% in Ocean city.
- Obesity rates are higher in Owatonna at 40.3% compared to 29.8% in Ocean city.
- There is a higher percentage of disabled individuals in Ocean city at 14.0% compared to 12.0% in Owatonna.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Owatonna | Ocean city |
|---|---|---|
| No Schooling | 0.7% (174) | 0.4% (50) |
| High School Diploma | 16.4% (4,337) | 16.9% (1,907) |
| Less than High School | 7.7% (2,036) | 6.0% (676) |
| Bachelor's Degree and Higher | 20.7% (5,477) | 43.6% (4,926) |
Education Levels Comparison: Owatonna vs Ocean city
- A higher percentage of residents in Owatonna have no formal schooling at 0.7% compared to 0.4% in Ocean city.
- In Ocean city, the rate of residents with high school diplomas is higher at 16.9% compared to 16.4% in Owatonna.
- More residents in Owatonna have less than a high school education at 7.7% 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 20.7% in Owatonna.
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.