Demographics details for Wynne, AR vs Ocean city, NJ
Population Overview
Compare main population characteristics in Wynne, AR vs Ocean city, NJ.
| Data | Wynne | Ocean city |
|---|---|---|
| Population | 8,208 | 11,303 |
| Median Age | 39.3 years | 56.9 years |
| Median Income | $39,280 | $98,576 |
| Married Families | 31.0% | 53.0% |
| Poverty Level | 20% | Data is updating |
| Unemployment Rate | 4.5 | 3.2 |
Population Comparison: Wynne vs Ocean city
- The population in Ocean city is higher at 11,303, compared to 8,208 in Wynne.
- The median age in Ocean city is higher at 56.9 years, compared to 39.3 years in Wynne.
- Ocean city has a higher median income of $98,576, compared to $39,280 in Wynne.
- In Ocean city, the percentage of married families is higher at 53.0%, compared to 31.0% in Wynne.
- Wynne has a higher poverty level at 20% compared to 0% in Ocean city.
- The unemployment rate in Wynne is higher at 4.5%, compared to 3.2% in Ocean city.
Demographics
Demographics Wynne vs Ocean city provide insight into the diversity of the communities to compare.
| Demographic | Wynne | Ocean city |
|---|---|---|
| Black | 33 | 3 |
| White | 55 | 86 |
| Asian | Data is updating | Data is updating |
| Hispanic | 4 | 8 |
| Two or More Races | 7 | 3 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Wynne vs Ocean city
- A higher percentage of Black residents are in Wynne at 33% compared to 3% in Ocean city.
- The percentage of White residents is higher in Ocean city at 86% compared to 55% in Wynne.
- Both Wynne 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 4% in Wynne.
- More residents identify as two or more races in Wynne at 7% compared to 3% in Ocean city.
- A greater percentage of American Indian residents live in Wynne at 1% compared to 0% in Ocean city.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Wynne | Ocean city |
|---|---|---|
| Mental Health Not Good | 20.1% | 14.0% |
| Physical Health Not Good | 14.5% | 8.7% |
| Depression | 25.4% | 21.8% |
| Smoking | 23.2% | 11.9% |
| Binge Drinking | 13.7% | 20.3% |
| Obesity | 43.7% | 29.8% |
| Disability Percentage | 18.0% | 14.0% |
Health Statistics Comparison: Wynne vs Ocean city
- More residents in Wynne report poor mental health at 20.1% compared to 14.0% in Ocean city.
- Depression is more prevalent in Wynne at 25.4% compared to 21.8% in Ocean city.
- Smoking is more prevalent in Wynne at 23.2% compared to 11.9% in Ocean city.
- More residents engage in binge drinking in Ocean city at 20.3% compared to 13.7% in Wynne.
- Obesity rates are higher in Wynne at 43.7% compared to 29.8% in Ocean city.
- Disability percentages are higher in Wynne at 18.0% 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 | Wynne | Ocean city |
|---|---|---|
| No Schooling | 1.4% (116) | 0.4% (50) |
| High School Diploma | 25.0% (2,055) | 16.9% (1,907) |
| Less than High School | 19.6% (1,610) | 6.0% (676) |
| Bachelor's Degree and Higher | 11.0% (905) | 43.6% (4,926) |
Education Levels Comparison: Wynne vs Ocean city
- A higher percentage of residents in Wynne have no formal schooling at 1.4% compared to 0.4% in Ocean city.
- A higher percentage of residents in Wynne hold a high school diploma at 25.0% compared to 16.9% in Ocean city.
- More residents in Wynne have less than a high school education at 19.6% 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 11.0% in Wynne.
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.