Demographics details for Divernon, IL vs Ocean city, NJ
Population Overview
Compare main population characteristics in Divernon, IL vs Ocean city, NJ.
| Data | Divernon | Ocean city |
|---|---|---|
| Population | 1,124 | 11,303 |
| Median Age | 36.8 years | 56.9 years |
| Median Income | $69,643 | $98,576 |
| Married Families | 43.0% | 53.0% |
| Poverty Level | 7% | Data is updating |
| Unemployment Rate | 3.2 | 3.2 |
Population Comparison: Divernon vs Ocean city
- The population in Ocean city is higher at 11,303, compared to 1,124 in Divernon.
- The median age in Ocean city is higher at 56.9 years, compared to 36.8 years in Divernon.
- Ocean city has a higher median income of $98,576, compared to $69,643 in Divernon.
- In Ocean city, the percentage of married families is higher at 53.0%, compared to 43.0% in Divernon.
- Divernon has a higher poverty level at 7% compared to 0% in Ocean city.
- The unemployment rate is the same in both Divernon and Ocean city at 3.2%.
Demographics
Demographics Divernon vs Ocean city provide insight into the diversity of the communities to compare.
| Demographic | Divernon | Ocean city |
|---|---|---|
| Black | Data is updating | 3 |
| White | 96 | 86 |
| Asian | 1 | Data is updating |
| Hispanic | 2 | 8 |
| Two or More Races | 1 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Divernon vs Ocean city
- In Ocean city, the percentage of Black residents is higher at 3% compared to 0% in Divernon.
- Divernon has a higher percentage of White residents at 96% compared to 86% in Ocean city.
- The Asian population is larger in Divernon at 1% compared to 0% in Ocean city.
- Ocean city has a higher percentage of Hispanic residents at 8%, compared to 2% in Divernon.
- The percentage of residents identifying as two or more races is higher in Ocean city at 3%, compared to 1% in Divernon.
- The percentage of American Indian residents is the same in both Divernon and Ocean city at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Divernon | Ocean city |
|---|---|---|
| Mental Health Not Good | 15.6% | 14.0% |
| Physical Health Not Good | 10.2% | 8.7% |
| Depression | 22.1% | 21.8% |
| Smoking | 16.1% | 11.9% |
| Binge Drinking | 19.8% | 20.3% |
| Obesity | 33.4% | 29.8% |
| Disability Percentage | 16.0% | 14.0% |
Health Statistics Comparison: Divernon vs Ocean city
- More residents in Divernon report poor mental health at 15.6% compared to 14.0% in Ocean city.
- Depression is more prevalent in Divernon at 22.1% compared to 21.8% in Ocean city.
- Smoking is more prevalent in Divernon at 16.1% compared to 11.9% in Ocean city.
- More residents engage in binge drinking in Ocean city at 20.3% compared to 19.8% in Divernon.
- Obesity rates are higher in Divernon at 33.4% compared to 29.8% in Ocean city.
- Disability percentages are higher in Divernon at 16.0% 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 | Divernon | Ocean city |
|---|---|---|
| No Schooling | 1.0% (11) | 0.4% (50) |
| High School Diploma | 26.4% (297) | 16.9% (1,907) |
| Less than High School | 11.7% (132) | 6.0% (676) |
| Bachelor's Degree and Higher | 13.4% (151) | 43.6% (4,926) |
Education Levels Comparison: Divernon vs Ocean city
- A higher percentage of residents in Divernon have no formal schooling at 1.0% compared to 0.4% in Ocean city.
- A higher percentage of residents in Divernon hold a high school diploma at 26.4% compared to 16.9% in Ocean city.
- More residents in Divernon have less than a high school education at 11.7% 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 13.4% in Divernon.
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.