Demographics details for Cedar hill, TX vs Oceanside, CA
Population Overview
Compare main population characteristics in Cedar hill, TX vs Oceanside, CA.
| Data | Cedar hill | Oceanside |
|---|---|---|
| Population | 48,341 | 172,199 |
| Median Age | 35.3 years | 37.5 years |
| Median Income | $84,132 | $86,701 |
| Married Families | 38.0% | 41.0% |
| Poverty Level | 9% | 9% |
| Unemployment Rate | 4.9 | 4.6 |
Population Comparison: Cedar hill vs Oceanside
- The population in Oceanside is higher at 172,199, compared to 48,341 in Cedar hill.
- The median age in Oceanside is higher at 37.5 years, compared to 35.3 years in Cedar hill.
- Oceanside has a higher median income of $86,701, compared to $84,132 in Cedar hill.
- In Oceanside, the percentage of married families is higher at 41.0%, compared to 38.0% in Cedar hill.
- The poverty level is identical in both Cedar hill and Oceanside at 9%.
- The unemployment rate in Cedar hill is higher at 4.9%, compared to 4.6% in Oceanside.
Demographics
Demographics Cedar hill vs Oceanside provide insight into the diversity of the communities to compare.
| Demographic | Cedar hill | Oceanside |
|---|---|---|
| Black | 51 | 4 |
| White | 11 | 31 |
| Asian | 2 | 7 |
| Hispanic | 27 | 38 |
| Two or More Races | 9 | 19 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Cedar hill vs Oceanside
- A higher percentage of Black residents are in Cedar hill at 51% compared to 4% in Oceanside.
- The percentage of White residents is higher in Oceanside at 31% compared to 11% in Cedar hill.
- In Oceanside, the Asian population stands at 7%, greater than 2% in Cedar hill.
- Oceanside has a higher percentage of Hispanic residents at 38%, compared to 27% in Cedar hill.
- The percentage of residents identifying as two or more races is higher in Oceanside at 19%, compared to 9% in Cedar hill.
- In Oceanside, the percentage of American Indian residents is higher at 1%, compared to 0% in Cedar hill.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Cedar hill | Oceanside |
|---|---|---|
| Mental Health Not Good | 16.1% | 16.2% |
| Physical Health Not Good | 10.4% | 10.9% |
| Depression | 20.5% | 17.9% |
| Smoking | 14.8% | 11.7% |
| Binge Drinking | 17.7% | 18.9% |
| Obesity | 35.9% | 25.0% |
| Disability Percentage | 11.0% | 12.0% |
Health Statistics Comparison: Cedar hill vs Oceanside
- In Oceanside, a higher percentage report poor mental health at 16.2% compared to 16.1% in Cedar hill.
- Depression is more prevalent in Cedar hill at 20.5% compared to 17.9% in Oceanside.
- Smoking is more prevalent in Cedar hill at 14.8% compared to 11.7% in Oceanside.
- More residents engage in binge drinking in Oceanside at 18.9% compared to 17.7% in Cedar hill.
- Obesity rates are higher in Cedar hill at 35.9% compared to 25.0% in Oceanside.
- There is a higher percentage of disabled individuals in Oceanside at 12.0% compared to 11.0% in Cedar hill.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Cedar hill | Oceanside |
|---|---|---|
| No Schooling | 1.2% (578) | 1.7% (2,927) |
| High School Diploma | 13.4% (6,465) | 12.0% (20,662) |
| Less than High School | 10.2% (4,909) | 17.7% (30,528) |
| Bachelor's Degree and Higher | 18.4% (8,890) | 23.5% (40,490) |
Education Levels Comparison: Cedar hill vs Oceanside
- In Oceanside, a larger percentage of residents lack formal schooling at 1.7% compared to 1.2% in Cedar hill.
- A higher percentage of residents in Cedar hill hold a high school diploma at 13.4% 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 10.2% in Cedar hill.
- In Oceanside, a larger share of residents have a bachelor's degree or higher at 23.5% compared to 18.4% in Cedar hill.
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.