Demographics details for Oceanside, CA vs Morrow, GA
Population Overview
Compare main population characteristics in Oceanside, CA vs Morrow, GA.
| Data | Oceanside | Morrow |
|---|---|---|
| Population | 172,199 | 6,426 |
| Median Age | 37.5 years | 28.9 years |
| Median Income | $86,701 | $64,890 |
| Married Families | 41.0% | 34.0% |
| Poverty Level | 9% | 12% |
| Unemployment Rate | 4.6 | 4.5 |
Population Comparison: Oceanside vs Morrow
- In Oceanside, the population is higher at 172,199, compared to 6,426 in Morrow.
- Residents in Oceanside have a higher median age of 37.5 years compared to 28.9 years in Morrow.
- Oceanside has a higher median income of $86,701 compared to $64,890 in Morrow.
- A higher percentage of married families is found in Oceanside at 41.0% compared to 34.0% in Morrow.
- The poverty level is higher in Morrow at 12%, compared to 9% in Oceanside.
- The unemployment rate in Oceanside is higher at 4.6%, compared to 4.5% in Morrow.
Demographics
Demographics Oceanside vs Morrow provide insight into the diversity of the communities to compare.
| Demographic | Oceanside | Morrow |
|---|---|---|
| Black | 4 | 37 |
| White | 31 | 22 |
| Asian | 7 | 29 |
| Hispanic | 38 | 28 |
| Two or More Races | 19 | 7 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Oceanside vs Morrow
- In Morrow, the percentage of Black residents is higher at 37% compared to 4% in Oceanside.
- Oceanside has a higher percentage of White residents at 31% compared to 22% in Morrow.
- In Morrow, the Asian population stands at 29%, greater than 7% in Oceanside.
- The Hispanic community is larger in Oceanside at 38% compared to 28% in Morrow.
- More residents identify as two or more races in Oceanside at 19% compared to 7% in Morrow.
- A greater percentage of American Indian residents live in Oceanside at 1% compared to 0% in Morrow.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Oceanside | Morrow |
|---|---|---|
| Mental Health Not Good | 16.2% | 16.8% |
| Physical Health Not Good | 10.9% | 13.2% |
| Depression | 17.9% | 16.2% |
| Smoking | 11.7% | 19.1% |
| Binge Drinking | 18.9% | 12.3% |
| Obesity | 25.0% | 37.5% |
| Disability Percentage | 12.0% | 10.0% |
Health Statistics Comparison: Oceanside vs Morrow
- In Morrow, a higher percentage report poor mental health at 16.8% compared to 16.2% in Oceanside.
- Depression is more prevalent in Oceanside at 17.9% compared to 16.2% in Morrow.
- Morrow has a higher smoking rate at 19.1% compared to 11.7% in Oceanside.
- Binge drinking is more common in Oceanside at 18.9% compared to 12.3% in Morrow.
- Morrow has higher obesity rates at 37.5% compared to 25.0% in Oceanside.
- Disability percentages are higher in Oceanside at 12.0% compared to 10.0% in Morrow.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Oceanside | Morrow |
|---|---|---|
| No Schooling | 1.7% (2,927) | 2.6% (168) |
| High School Diploma | 12.0% (20,662) | 14.5% (929) |
| Less than High School | 17.7% (30,528) | 19.9% (1,280) |
| Bachelor's Degree and Higher | 23.5% (40,490) | 10.0% (642) |
Education Levels Comparison: Oceanside vs Morrow
- In Morrow, a larger percentage of residents lack formal schooling at 2.6% compared to 1.7% in Oceanside.
- In Morrow, the rate of residents with high school diplomas is higher at 14.5% compared to 12.0% in Oceanside.
- The percentage of residents with less than a high school education is higher in Morrow at 19.9%, compared to 17.7% in Oceanside.
- A higher percentage of residents in Oceanside hold a bachelor's degree or higher at 23.5% compared to 10.0% in Morrow.
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.