Demographics details for Ocean city, NJ vs Webb, IA
Population Overview
Compare main population characteristics in Ocean city, NJ vs Webb, IA.
| Data | Ocean city | Webb |
|---|---|---|
| Population | 11,303 | 141 |
| Median Age | 56.9 years | 43.3 years |
| Median Income | $98,576 | $66,250 |
| Married Families | 53.0% | 33.0% |
| Poverty Level | Data is updating | 6% |
| Unemployment Rate | 3.2 | 2.5 |
Population Comparison: Ocean city vs Webb
- In Ocean city, the population is higher at 11,303, compared to 141 in Webb.
- Residents in Ocean city have a higher median age of 56.9 years compared to 43.3 years in Webb.
- Ocean city has a higher median income of $98,576 compared to $66,250 in Webb.
- A higher percentage of married families is found in Ocean city at 53.0% compared to 33.0% in Webb.
- The poverty level is higher in Webb at 6%, compared to 0% in Ocean city.
- The unemployment rate in Ocean city is higher at 3.2%, compared to 2.5% in Webb.
Demographics
Demographics Ocean city vs Webb provide insight into the diversity of the communities to compare.
| Demographic | Ocean city | Webb |
|---|---|---|
| Black | 3 | Data is updating |
| White | 86 | 99 |
| Asian | Data is updating | Data is updating |
| Hispanic | 8 | Data is updating |
| Two or More Races | 3 | 1 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Ocean city vs Webb
- A higher percentage of Black residents are in Ocean city at 3% compared to 0% in Webb.
- The percentage of White residents is higher in Webb at 99% compared to 86% in Ocean city.
- Both Ocean city and Webb have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Ocean city at 8% compared to 0% in Webb.
- More residents identify as two or more races in Ocean city at 3% compared to 1% in Webb.
- The percentage of American Indian residents is the same in both Ocean city and Webb at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Ocean city | Webb |
|---|---|---|
| Mental Health Not Good | 14.0% | 15.5% |
| Physical Health Not Good | 8.7% | 9.8% |
| Depression | 21.8% | 19.2% |
| Smoking | 11.9% | 17.7% |
| Binge Drinking | 20.3% | 21.4% |
| Obesity | 29.8% | 36.5% |
| Disability Percentage | 14.0% | 22.0% |
Health Statistics Comparison: Ocean city vs Webb
- In Webb, a higher percentage report poor mental health at 15.5% compared to 14.0% in Ocean city.
- Depression is more prevalent in Ocean city at 21.8% compared to 19.2% in Webb.
- Webb has a higher smoking rate at 17.7% compared to 11.9% in Ocean city.
- More residents engage in binge drinking in Webb at 21.4% compared to 20.3% in Ocean city.
- Webb has higher obesity rates at 36.5% compared to 29.8% in Ocean city.
- There is a higher percentage of disabled individuals in Webb at 22.0% 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 | Ocean city | Webb |
|---|---|---|
| No Schooling | 0.4% (50) | 0.0% (Data is updating) |
| High School Diploma | 16.9% (1,907) | 19.9% (28) |
| Less than High School | 6.0% (676) | 11.3% (16) |
| Bachelor's Degree and Higher | 43.6% (4,926) | 8.5% (12) |
Education Levels Comparison: Ocean city vs Webb
- A higher percentage of residents in Ocean city have no formal schooling at 0.4% compared to 0.0% in Webb.
- In Webb, the rate of residents with high school diplomas is higher at 19.9% compared to 16.9% in Ocean city.
- The percentage of residents with less than a high school education is higher in Webb at 11.3%, compared to 6.0% in Ocean city.
- A higher percentage of residents in Ocean city hold a bachelor's degree or higher at 43.6% compared to 8.5% in Webb.
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.