Demographics details for Clearfield, UT vs Oceanside, CA
Population Overview
Compare main population characteristics in Clearfield, UT vs Oceanside, CA.
| Data | Clearfield | Oceanside |
|---|---|---|
| Population | 34,062 | 172,199 |
| Median Age | 29.8 years | 37.5 years |
| Median Income | $69,889 | $86,701 |
| Married Families | 37.0% | 41.0% |
| Poverty Level | 10% | 9% |
| Unemployment Rate | 4.3 | 4.6 |
Population Comparison: Clearfield vs Oceanside
- The population in Oceanside is higher at 172,199, compared to 34,062 in Clearfield.
- The median age in Oceanside is higher at 37.5 years, compared to 29.8 years in Clearfield.
- Oceanside has a higher median income of $86,701, compared to $69,889 in Clearfield.
- In Oceanside, the percentage of married families is higher at 41.0%, compared to 37.0% in Clearfield.
- Clearfield has a higher poverty level at 10% compared to 9% in Oceanside.
- Oceanside has a higher unemployment rate at 4.6% compared to 4.3% in Clearfield.
Demographics
Demographics Clearfield vs Oceanside provide insight into the diversity of the communities to compare.
| Demographic | Clearfield | Oceanside |
|---|---|---|
| Black | 3 | 4 |
| White | 69 | 31 |
| Asian | 2 | 7 |
| Hispanic | 17 | 38 |
| Two or More Races | 8 | 19 |
| American Indian | 1 | 1 |
Demographics Comparison: Clearfield vs Oceanside
- In Oceanside, the percentage of Black residents is higher at 4% compared to 3% in Clearfield.
- Clearfield has a higher percentage of White residents at 69% compared to 31% in Oceanside.
- In Oceanside, the Asian population stands at 7%, greater than 2% in Clearfield.
- Oceanside has a higher percentage of Hispanic residents at 38%, compared to 17% in Clearfield.
- The percentage of residents identifying as two or more races is higher in Oceanside at 19%, compared to 8% in Clearfield.
- The percentage of American Indian residents is the same in both Clearfield and Oceanside at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Clearfield | Oceanside |
|---|---|---|
| Mental Health Not Good | 17.4% | 16.2% |
| Physical Health Not Good | 11.7% | 10.9% |
| Depression | 24.6% | 17.9% |
| Smoking | 10.2% | 11.7% |
| Binge Drinking | 10.2% | 18.9% |
| Obesity | 36.3% | 25.0% |
| Disability Percentage | 12.0% | 12.0% |
Health Statistics Comparison: Clearfield vs Oceanside
- More residents in Clearfield report poor mental health at 17.4% compared to 16.2% in Oceanside.
- Depression is more prevalent in Clearfield at 24.6% compared to 17.9% in Oceanside.
- Oceanside has a higher smoking rate at 11.7% compared to 10.2% in Clearfield.
- More residents engage in binge drinking in Oceanside at 18.9% compared to 10.2% in Clearfield.
- Obesity rates are higher in Clearfield at 36.3% compared to 25.0% in Oceanside.
- Disability percentages are the same in both Clearfield and Oceanside at 12.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Clearfield | Oceanside |
|---|---|---|
| No Schooling | 0.6% (208) | 1.7% (2,927) |
| High School Diploma | 13.8% (4,690) | 12.0% (20,662) |
| Less than High School | 10.7% (3,633) | 17.7% (30,528) |
| Bachelor's Degree and Higher | 12.8% (4,366) | 23.5% (40,490) |
Education Levels Comparison: Clearfield vs Oceanside
- In Oceanside, a larger percentage of residents lack formal schooling at 1.7% compared to 0.6% in Clearfield.
- A higher percentage of residents in Clearfield hold a high school diploma at 13.8% 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 10.7% in Clearfield.
- In Oceanside, a larger share of residents have a bachelor's degree or higher at 23.5% compared to 12.8% in Clearfield.
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.