Demographics details for Oceanside, CA vs Big sandy, TX
Population Overview
Compare main population characteristics in Oceanside, CA vs Big sandy, TX.
| Data | Oceanside | Big sandy |
|---|---|---|
| Population | 172,199 | 1,286 |
| Median Age | 37.5 years | 36.0 years |
| Median Income | $86,701 | $41,250 |
| Married Families | 41.0% | 36.0% |
| Poverty Level | 9% | 13% |
| Unemployment Rate | 4.6 | 4.5 |
Population Comparison: Oceanside vs Big sandy
- In Oceanside, the population is higher at 172,199, compared to 1,286 in Big sandy.
- Residents in Oceanside have a higher median age of 37.5 years compared to 36.0 years in Big sandy.
- Oceanside has a higher median income of $86,701 compared to $41,250 in Big sandy.
- A higher percentage of married families is found in Oceanside at 41.0% compared to 36.0% in Big sandy.
- The poverty level is higher in Big sandy at 13%, compared to 9% in Oceanside.
- The unemployment rate in Oceanside is higher at 4.6%, compared to 4.5% in Big sandy.
Demographics
Demographics Oceanside vs Big sandy provide insight into the diversity of the communities to compare.
| Demographic | Oceanside | Big sandy |
|---|---|---|
| Black | 4 | 14 |
| White | 31 | 69 |
| Asian | 7 | Data is updating |
| Hispanic | 38 | 12 |
| Two or More Races | 19 | 5 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Oceanside vs Big sandy
- In Big sandy, the percentage of Black residents is higher at 14% compared to 4% in Oceanside.
- The percentage of White residents is higher in Big sandy at 69% compared to 31% in Oceanside.
- The Asian population is larger in Oceanside at 7% compared to 0% in Big sandy.
- The Hispanic community is larger in Oceanside at 38% compared to 12% in Big sandy.
- More residents identify as two or more races in Oceanside at 19% compared to 5% in Big sandy.
- A greater percentage of American Indian residents live in Oceanside at 1% compared to 0% in Big sandy.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Oceanside | Big sandy |
|---|---|---|
| Mental Health Not Good | 16.2% | 18.9% |
| Physical Health Not Good | 10.9% | 12.7% |
| Depression | 17.9% | 25.4% |
| Smoking | 11.7% | 19.8% |
| Binge Drinking | 18.9% | 17.9% |
| Obesity | 25.0% | 35.9% |
| Disability Percentage | 12.0% | 18.0% |
Health Statistics Comparison: Oceanside vs Big sandy
- In Big sandy, a higher percentage report poor mental health at 18.9% compared to 16.2% in Oceanside.
- Higher depression rates are seen in Big sandy at 25.4% versus 17.9% in Oceanside.
- Big sandy has a higher smoking rate at 19.8% compared to 11.7% in Oceanside.
- Binge drinking is more common in Oceanside at 18.9% compared to 17.9% in Big sandy.
- Big sandy has higher obesity rates at 35.9% compared to 25.0% in Oceanside.
- There is a higher percentage of disabled individuals in Big sandy at 18.0% compared to 12.0% in Oceanside.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Oceanside | Big sandy |
|---|---|---|
| No Schooling | 1.7% (2,927) | 0.6% (8) |
| High School Diploma | 12.0% (20,662) | 13.8% (178) |
| Less than High School | 17.7% (30,528) | 23.4% (301) |
| Bachelor's Degree and Higher | 23.5% (40,490) | 11.0% (141) |
Education Levels Comparison: Oceanside vs Big sandy
- A higher percentage of residents in Oceanside have no formal schooling at 1.7% compared to 0.6% in Big sandy.
- In Big sandy, the rate of residents with high school diplomas is higher at 13.8% compared to 12.0% in Oceanside.
- The percentage of residents with less than a high school education is higher in Big sandy at 23.4%, 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 11.0% in Big sandy.
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.