Demographics details for Oxnard, CA vs Millersburg, OH
Population Overview
Compare main population characteristics in Oxnard, CA vs Millersburg, OH.
| Data | Oxnard | Millersburg |
|---|---|---|
| Population | 200,415 | 3,180 |
| Median Age | 33.5 years | 38.2 years |
| Median Income | $90,409 | $48,913 |
| Married Families | 34.0% | 40.0% |
| Poverty Level | 11% | 10% |
| Unemployment Rate | 4.9 | 4.5 |
Population Comparison: Oxnard vs Millersburg
- In Oxnard, the population is higher at 200,415, compared to 3,180 in Millersburg.
- The median age in Millersburg is higher at 38.2 years, compared to 33.5 years in Oxnard.
- Oxnard has a higher median income of $90,409 compared to $48,913 in Millersburg.
- In Millersburg, the percentage of married families is higher at 40.0%, compared to 34.0% in Oxnard.
- Oxnard has a higher poverty level at 11% compared to 10% in Millersburg.
- The unemployment rate in Oxnard is higher at 4.9%, compared to 4.5% in Millersburg.
Demographics
Demographics Oxnard vs Millersburg provide insight into the diversity of the communities to compare.
| Demographic | Oxnard | Millersburg |
|---|---|---|
| Black | 2 | 1 |
| White | -16 | 95 |
| Asian | 7 | Data is updating |
| Hispanic | 77 | Data is updating |
| Two or More Races | 27 | 4 |
| American Indian | 3 | Data is updating |
Demographics Comparison: Oxnard vs Millersburg
- A higher percentage of Black residents are in Oxnard at 2% compared to 1% in Millersburg.
- The percentage of White residents is higher in Millersburg at 95% compared to -16% in Oxnard.
- The Asian population is larger in Oxnard at 7% compared to 0% in Millersburg.
- The Hispanic community is larger in Oxnard at 77% compared to 0% in Millersburg.
- More residents identify as two or more races in Oxnard at 27% compared to 4% in Millersburg.
- A greater percentage of American Indian residents live in Oxnard at 3% compared to 0% in Millersburg.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Oxnard | Millersburg |
|---|---|---|
| Mental Health Not Good | 15.8% | 18.5% |
| Physical Health Not Good | 13.1% | 12.5% |
| Depression | 17.0% | 24.9% |
| Smoking | 13.2% | 22.4% |
| Binge Drinking | 15.1% | 18.0% |
| Obesity | 30.3% | 39.2% |
| Disability Percentage | 9.0% | 13.0% |
Health Statistics Comparison: Oxnard vs Millersburg
- In Millersburg, a higher percentage report poor mental health at 18.5% compared to 15.8% in Oxnard.
- Higher depression rates are seen in Millersburg at 24.9% versus 17.0% in Oxnard.
- Millersburg has a higher smoking rate at 22.4% compared to 13.2% in Oxnard.
- More residents engage in binge drinking in Millersburg at 18.0% compared to 15.1% in Oxnard.
- Millersburg has higher obesity rates at 39.2% compared to 30.3% in Oxnard.
- There is a higher percentage of disabled individuals in Millersburg at 13.0% compared to 9.0% in Oxnard.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Oxnard | Millersburg |
|---|---|---|
| No Schooling | 3.5% (7,053) | 1.4% (46) |
| High School Diploma | 15.0% (30,118) | 25.2% (801) |
| Less than High School | 38.1% (76,346) | 27.2% (864) |
| Bachelor's Degree and Higher | 12.3% (24,627) | 20.3% (644) |
Education Levels Comparison: Oxnard vs Millersburg
- A higher percentage of residents in Oxnard have no formal schooling at 3.5% compared to 1.4% in Millersburg.
- In Millersburg, the rate of residents with high school diplomas is higher at 25.2% compared to 15.0% in Oxnard.
- More residents in Oxnard have less than a high school education at 38.1% compared to 27.2% in Millersburg.
- In Millersburg, a larger share of residents have a bachelor's degree or higher at 20.3% compared to 12.3% in Oxnard.
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.