Demographics details for Ocean city, NJ vs Valdosta, GA
Population Overview
Compare main population characteristics in Ocean city, NJ vs Valdosta, GA.
| Data | Ocean city | Valdosta |
|---|---|---|
| Population | 11,303 | 55,074 |
| Median Age | 56.9 years | 29.2 years |
| Median Income | $98,576 | $41,365 |
| Married Families | 53.0% | 25.0% |
| Poverty Level | Data is updating | 19% |
| Unemployment Rate | 3.2 | 5.1 |
Population Comparison: Ocean city vs Valdosta
- The population in Valdosta is higher at 55,074, compared to 11,303 in Ocean city.
- Residents in Ocean city have a higher median age of 56.9 years compared to 29.2 years in Valdosta.
- Ocean city has a higher median income of $98,576 compared to $41,365 in Valdosta.
- A higher percentage of married families is found in Ocean city at 53.0% compared to 25.0% in Valdosta.
- The poverty level is higher in Valdosta at 19%, compared to 0% in Ocean city.
- Valdosta has a higher unemployment rate at 5.1% compared to 3.2% in Ocean city.
Demographics
Demographics Ocean city vs Valdosta provide insight into the diversity of the communities to compare.
| Demographic | Ocean city | Valdosta |
|---|---|---|
| Black | 3 | 56 |
| White | 86 | 34 |
| Asian | Data is updating | 1 |
| Hispanic | 8 | 5 |
| Two or More Races | 3 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Ocean city vs Valdosta
- In Valdosta, the percentage of Black residents is higher at 56% compared to 3% in Ocean city.
- Ocean city has a higher percentage of White residents at 86% compared to 34% in Valdosta.
- In Valdosta, the Asian population stands at 1%, greater than 0% in Ocean city.
- The Hispanic community is larger in Ocean city at 8% compared to 5% in Valdosta.
- The percentage of residents identifying as two or more races is higher in Valdosta at 4%, compared to 3% in Ocean city.
- The percentage of American Indian residents is the same in both Ocean city and Valdosta at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Ocean city | Valdosta |
|---|---|---|
| Mental Health Not Good | 14.0% | 19.7% |
| Physical Health Not Good | 8.7% | 15.4% |
| Depression | 21.8% | 22.2% |
| Smoking | 11.9% | 23.1% |
| Binge Drinking | 20.3% | 13.0% |
| Obesity | 29.8% | 43.5% |
| Disability Percentage | 14.0% | 10.0% |
Health Statistics Comparison: Ocean city vs Valdosta
- In Valdosta, a higher percentage report poor mental health at 19.7% compared to 14.0% in Ocean city.
- Higher depression rates are seen in Valdosta at 22.2% versus 21.8% in Ocean city.
- Valdosta has a higher smoking rate at 23.1% compared to 11.9% in Ocean city.
- Binge drinking is more common in Ocean city at 20.3% compared to 13.0% in Valdosta.
- Valdosta has higher obesity rates at 43.5% compared to 29.8% in Ocean city.
- Disability percentages are higher in Ocean city at 14.0% compared to 10.0% in Valdosta.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Ocean city | Valdosta |
|---|---|---|
| No Schooling | 0.4% (50) | 1.0% (538) |
| High School Diploma | 16.9% (1,907) | 16.3% (8,967) |
| Less than High School | 6.0% (676) | 8.9% (4,906) |
| Bachelor's Degree and Higher | 43.6% (4,926) | 15.9% (8,750) |
Education Levels Comparison: Ocean city vs Valdosta
- In Valdosta, a larger percentage of residents lack formal schooling at 1.0% compared to 0.4% in Ocean city.
- A higher percentage of residents in Ocean city hold a high school diploma at 16.9% compared to 16.3% in Valdosta.
- The percentage of residents with less than a high school education is higher in Valdosta at 8.9%, 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 15.9% in Valdosta.
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.