Demographics details for Oceanside, CA vs Maple valley, WA
Population Overview
Compare main population characteristics in Oceanside, CA vs Maple valley, WA.
| Data | Oceanside | Maple valley |
|---|---|---|
| Population | 172,199 | 28,220 |
| Median Age | 37.5 years | 36.4 years |
| Median Income | $86,701 | $137,595 |
| Married Families | 41.0% | 47.0% |
| Poverty Level | 9% | Data is updating |
| Unemployment Rate | 4.6 | 4.7 |
Population Comparison: Oceanside vs Maple valley
- In Oceanside, the population is higher at 172,199, compared to 28,220 in Maple valley.
- Residents in Oceanside have a higher median age of 37.5 years compared to 36.4 years in Maple valley.
- Maple valley has a higher median income of $137,595, compared to $86,701 in Oceanside.
- In Maple valley, the percentage of married families is higher at 47.0%, compared to 41.0% in Oceanside.
- Oceanside has a higher poverty level at 9% compared to 0% in Maple valley.
- Maple valley has a higher unemployment rate at 4.7% compared to 4.6% in Oceanside.
Demographics
Demographics Oceanside vs Maple valley provide insight into the diversity of the communities to compare.
| Demographic | Oceanside | Maple valley |
|---|---|---|
| Black | 4 | 2 |
| White | 31 | 74 |
| Asian | 7 | 11 |
| Hispanic | 38 | 5 |
| Two or More Races | 19 | 8 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Oceanside vs Maple valley
- A higher percentage of Black residents are in Oceanside at 4% compared to 2% in Maple valley.
- The percentage of White residents is higher in Maple valley at 74% compared to 31% in Oceanside.
- In Maple valley, the Asian population stands at 11%, greater than 7% in Oceanside.
- The Hispanic community is larger in Oceanside at 38% compared to 5% in Maple valley.
- More residents identify as two or more races in Oceanside at 19% compared to 8% in Maple valley.
- A greater percentage of American Indian residents live in Oceanside at 1% compared to 0% in Maple valley.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Oceanside | Maple valley |
|---|---|---|
| Mental Health Not Good | 16.2% | 15.9% |
| Physical Health Not Good | 10.9% | 8.6% |
| Depression | 17.9% | 25.8% |
| Smoking | 11.7% | 9.4% |
| Binge Drinking | 18.9% | 19.6% |
| Obesity | 25.0% | 24.3% |
| Disability Percentage | 12.0% | 7.0% |
Health Statistics Comparison: Oceanside vs Maple valley
- More residents in Oceanside report poor mental health at 16.2% compared to 15.9% in Maple valley.
- Higher depression rates are seen in Maple valley at 25.8% versus 17.9% in Oceanside.
- Smoking is more prevalent in Oceanside at 11.7% compared to 9.4% in Maple valley.
- More residents engage in binge drinking in Maple valley at 19.6% compared to 18.9% in Oceanside.
- Obesity rates are higher in Oceanside at 25.0% compared to 24.3% in Maple valley.
- Disability percentages are higher in Oceanside at 12.0% compared to 7.0% in Maple valley.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Oceanside | Maple valley |
|---|---|---|
| No Schooling | 1.7% (2,927) | 0.4% (103) |
| High School Diploma | 12.0% (20,662) | 10.2% (2,878) |
| Less than High School | 17.7% (30,528) | 3.1% (879) |
| Bachelor's Degree and Higher | 23.5% (40,490) | 28.5% (8,032) |
Education Levels Comparison: Oceanside vs Maple valley
- A higher percentage of residents in Oceanside have no formal schooling at 1.7% compared to 0.4% in Maple valley.
- A higher percentage of residents in Oceanside hold a high school diploma at 12.0% compared to 10.2% in Maple valley.
- More residents in Oceanside have less than a high school education at 17.7% compared to 3.1% in Maple valley.
- In Maple valley, a larger share of residents have a bachelor's degree or higher at 28.5% compared to 23.5% in Oceanside.
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.