Demographics details for Valdosta, GA vs Oceanside, CA
Population Overview
Compare main population characteristics in Valdosta, GA vs Oceanside, CA.
| Data | Valdosta | Oceanside |
|---|---|---|
| Population | 55,074 | 172,199 |
| Median Age | 29.2 years | 37.5 years |
| Median Income | $41,365 | $86,701 |
| Married Families | 25.0% | 41.0% |
| Poverty Level | 19% | 9% |
| Unemployment Rate | 5.1 | 4.6 |
Population Comparison: Valdosta vs Oceanside
- The population in Oceanside is higher at 172,199, compared to 55,074 in Valdosta.
- The median age in Oceanside is higher at 37.5 years, compared to 29.2 years in Valdosta.
- Oceanside has a higher median income of $86,701, compared to $41,365 in Valdosta.
- In Oceanside, the percentage of married families is higher at 41.0%, compared to 25.0% in Valdosta.
- Valdosta has a higher poverty level at 19% compared to 9% in Oceanside.
- The unemployment rate in Valdosta is higher at 5.1%, compared to 4.6% in Oceanside.
Demographics
Demographics Valdosta vs Oceanside provide insight into the diversity of the communities to compare.
| Demographic | Valdosta | Oceanside |
|---|---|---|
| Black | 56 | 4 |
| White | 34 | 31 |
| Asian | 1 | 7 |
| Hispanic | 5 | 38 |
| Two or More Races | 4 | 19 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Valdosta vs Oceanside
- A higher percentage of Black residents are in Valdosta at 56% compared to 4% in Oceanside.
- Valdosta has a higher percentage of White residents at 34% compared to 31% in Oceanside.
- In Oceanside, the Asian population stands at 7%, greater than 1% in Valdosta.
- Oceanside has a higher percentage of Hispanic residents at 38%, compared to 5% in Valdosta.
- The percentage of residents identifying as two or more races is higher in Oceanside at 19%, compared to 4% in Valdosta.
- In Oceanside, the percentage of American Indian residents is higher at 1%, compared to 0% in Valdosta.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Valdosta | Oceanside |
|---|---|---|
| Mental Health Not Good | 19.7% | 16.2% |
| Physical Health Not Good | 15.4% | 10.9% |
| Depression | 22.2% | 17.9% |
| Smoking | 23.1% | 11.7% |
| Binge Drinking | 13.0% | 18.9% |
| Obesity | 43.5% | 25.0% |
| Disability Percentage | 10.0% | 12.0% |
Health Statistics Comparison: Valdosta vs Oceanside
- More residents in Valdosta report poor mental health at 19.7% compared to 16.2% in Oceanside.
- Depression is more prevalent in Valdosta at 22.2% compared to 17.9% in Oceanside.
- Smoking is more prevalent in Valdosta at 23.1% compared to 11.7% in Oceanside.
- More residents engage in binge drinking in Oceanside at 18.9% compared to 13.0% in Valdosta.
- Obesity rates are higher in Valdosta at 43.5% compared to 25.0% in Oceanside.
- There is a higher percentage of disabled individuals in Oceanside at 12.0% 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 | Valdosta | Oceanside |
|---|---|---|
| No Schooling | 1.0% (538) | 1.7% (2,927) |
| High School Diploma | 16.3% (8,967) | 12.0% (20,662) |
| Less than High School | 8.9% (4,906) | 17.7% (30,528) |
| Bachelor's Degree and Higher | 15.9% (8,750) | 23.5% (40,490) |
Education Levels Comparison: Valdosta vs Oceanside
- In Oceanside, a larger percentage of residents lack formal schooling at 1.7% compared to 1.0% in Valdosta.
- A higher percentage of residents in Valdosta hold a high school diploma at 16.3% compared to 12.0% in Oceanside.
- The percentage of residents with less than a high school education is higher in Oceanside at 17.7%, compared to 8.9% in Valdosta.
- In Oceanside, a larger share of residents have a bachelor's degree or higher at 23.5% 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.