Demographics details for Wheeling, WV vs Moorpark, CA
Population Overview
Compare main population characteristics in Wheeling, WV vs Moorpark, CA.
| Data | Wheeling | Moorpark |
|---|---|---|
| Population | 26,391 | 35,514 |
| Median Age | 45.0 years | 38.8 years |
| Median Income | $46,516 | $143,218 |
| Married Families | 34.0% | 47.0% |
| Poverty Level | 18% | 8% |
| Unemployment Rate | 4.1 | 4.1 |
Population Comparison: Wheeling vs Moorpark
- The population in Moorpark is higher at 35,514, compared to 26,391 in Wheeling.
- Residents in Wheeling have a higher median age of 45.0 years compared to 38.8 years in Moorpark.
- Moorpark has a higher median income of $143,218, compared to $46,516 in Wheeling.
- In Moorpark, the percentage of married families is higher at 47.0%, compared to 34.0% in Wheeling.
- Wheeling has a higher poverty level at 18% compared to 8% in Moorpark.
- The unemployment rate is the same in both Wheeling and Moorpark at 4.1%.
Demographics
Demographics Wheeling vs Moorpark provide insight into the diversity of the communities to compare.
| Demographic | Wheeling | Moorpark |
|---|---|---|
| Black | 4 | 3 |
| White | 90 | 38 |
| Asian | 1 | 7 |
| Hispanic | 1 | 34 |
| Two or More Races | 4 | 17 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Wheeling vs Moorpark
- A higher percentage of Black residents are in Wheeling at 4% compared to 3% in Moorpark.
- Wheeling has a higher percentage of White residents at 90% compared to 38% in Moorpark.
- In Moorpark, the Asian population stands at 7%, greater than 1% in Wheeling.
- Moorpark has a higher percentage of Hispanic residents at 34%, compared to 1% in Wheeling.
- The percentage of residents identifying as two or more races is higher in Moorpark at 17%, compared to 4% in Wheeling.
- In Moorpark, the percentage of American Indian residents is higher at 1%, compared to 0% in Wheeling.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Wheeling | Moorpark |
|---|---|---|
| Mental Health Not Good | 19.5% | 13.8% |
| Physical Health Not Good | 13.3% | 8.9% |
| Depression | 28.7% | 17.6% |
| Smoking | 21.0% | 9.2% |
| Binge Drinking | 14.4% | 17.8% |
| Obesity | 40.4% | 24.7% |
| Disability Percentage | 17.0% | 10.0% |
Health Statistics Comparison: Wheeling vs Moorpark
- More residents in Wheeling report poor mental health at 19.5% compared to 13.8% in Moorpark.
- Depression is more prevalent in Wheeling at 28.7% compared to 17.6% in Moorpark.
- Smoking is more prevalent in Wheeling at 21.0% compared to 9.2% in Moorpark.
- More residents engage in binge drinking in Moorpark at 17.8% compared to 14.4% in Wheeling.
- Obesity rates are higher in Wheeling at 40.4% compared to 24.7% in Moorpark.
- Disability percentages are higher in Wheeling at 17.0% compared to 10.0% in Moorpark.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Wheeling | Moorpark |
|---|---|---|
| No Schooling | 0.5% (130) | 0.8% (300) |
| High School Diploma | 22.3% (5,888) | 9.3% (3,304) |
| Less than High School | 10.1% (2,653) | 11.8% (4,201) |
| Bachelor's Degree and Higher | 23.5% (6,209) | 30.1% (10,699) |
Education Levels Comparison: Wheeling vs Moorpark
- In Moorpark, a larger percentage of residents lack formal schooling at 0.8% compared to 0.5% in Wheeling.
- A higher percentage of residents in Wheeling hold a high school diploma at 22.3% compared to 9.3% in Moorpark.
- The percentage of residents with less than a high school education is higher in Moorpark at 11.8%, compared to 10.1% in Wheeling.
- In Moorpark, a larger share of residents have a bachelor's degree or higher at 30.1% compared to 23.5% in Wheeling.
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.