Demographics details for Oxnard, CA vs Gwynedd valley, PA
Population Overview
Compare main population characteristics in Oxnard, CA vs Gwynedd valley, PA.
Data | Oxnard | Gwynedd valley |
---|---|---|
Population | 200,415 | 1,418 |
Median Age | 33.5 years | 48.0 years |
Median Income | $90,409 | $112,500 |
Married Families | 34.0% | 64.0% |
Poverty Level | 11% | 3% |
Unemployment Rate | 4.9 | 4.7 |
Population Comparison: Oxnard vs Gwynedd valley
- In Oxnard, the population is higher at 200,415, compared to 1,418 in Gwynedd valley.
- The median age in Gwynedd valley is higher at 48.0 years, compared to 33.5 years in Oxnard.
- Gwynedd valley has a higher median income of $112,500, compared to $90,409 in Oxnard.
- In Gwynedd valley, the percentage of married families is higher at 64.0%, compared to 34.0% in Oxnard.
- Oxnard has a higher poverty level at 11% compared to 3% in Gwynedd valley.
- The unemployment rate in Oxnard is higher at 4.9%, compared to 4.7% in Gwynedd valley.
Demographics
Demographics Oxnard vs Gwynedd valley provide insight into the diversity of the communities to compare.
Demographic | Oxnard | Gwynedd valley |
---|---|---|
Black | 2 | 1 |
White | -16 | 93 |
Asian | 7 | 3 |
Hispanic | 77 | 2 |
Two or More Races | 27 | 1 |
American Indian | 3 | Data is updating |
Demographics Comparison: Oxnard vs Gwynedd valley
- A higher percentage of Black residents are in Oxnard at 2% compared to 1% in Gwynedd valley.
- The percentage of White residents is higher in Gwynedd valley at 93% compared to -16% in Oxnard.
- The Asian population is larger in Oxnard at 7% compared to 3% in Gwynedd valley.
- The Hispanic community is larger in Oxnard at 77% compared to 2% in Gwynedd valley.
- More residents identify as two or more races in Oxnard at 27% compared to 1% in Gwynedd valley.
- A greater percentage of American Indian residents live in Oxnard at 3% compared to 0% in Gwynedd valley.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Oxnard | Gwynedd valley |
---|---|---|
Mental Health Not Good | 15.8% | Data is updating% |
Physical Health Not Good | 13.1% | Data is updating% |
Depression | 17.0% | Data is updating% |
Smoking | 13.2% | Data is updating% |
Binge Drinking | 15.1% | Data is updating% |
Obesity | 30.3% | Data is updating% |
Disability Percentage | 9.0% | Data is updating% |
Health Statistics Comparison: Oxnard vs Gwynedd valley
- More residents in Oxnard report poor mental health at 15.8% compared to 0.0% in Gwynedd valley.
- Depression is more prevalent in Oxnard at 17.0% compared to 0.0% in Gwynedd valley.
- Smoking is more prevalent in Oxnard at 13.2% compared to 0.0% in Gwynedd valley.
- Binge drinking is more common in Oxnard at 15.1% compared to 0.0% in Gwynedd valley.
- Obesity rates are higher in Oxnard at 30.3% compared to 0.0% in Gwynedd valley.
- Disability percentages are higher in Oxnard at 9.0% compared to 0.0% in Gwynedd valley.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Oxnard | Gwynedd valley |
---|---|---|
No Schooling | 3.5% (7,053) | 0.0% (Data is updating) |
High School Diploma | 15.0% (30,118) | 0.0% (Data is updating) |
Less than High School | 38.1% (76,346) | 0.0% (Data is updating) |
Bachelor's Degree and Higher | 12.3% (24,627) | 0.0% (Data is updating) |
Education Levels Comparison: Oxnard vs Gwynedd valley
- A higher percentage of residents in Oxnard have no formal schooling at 3.5% compared to 0.0% in Gwynedd valley.
- A higher percentage of residents in Oxnard hold a high school diploma at 15.0% compared to 0.0% in Gwynedd valley.
- More residents in Oxnard have less than a high school education at 38.1% compared to 0.0% in Gwynedd valley.
- A higher percentage of residents in Oxnard hold a bachelor's degree or higher at 12.3% compared to 0.0% in Gwynedd valley.
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.