Demographics details for Oxnard, CA vs Panama city, FL
Population Overview
Compare main population characteristics in Oxnard, CA vs Panama city, FL.
| Data | Oxnard | Panama city |
|---|---|---|
| Population | 200,415 | 34,690 |
| Median Age | 33.5 years | 38.5 years |
| Median Income | $90,409 | $57,221 |
| Married Families | 34.0% | 32.0% |
| Poverty Level | 11% | 12% |
| Unemployment Rate | 4.9 | 3.5 |
Population Comparison: Oxnard vs Panama city
- In Oxnard, the population is higher at 200,415, compared to 34,690 in Panama city.
- The median age in Panama city is higher at 38.5 years, compared to 33.5 years in Oxnard.
- Oxnard has a higher median income of $90,409 compared to $57,221 in Panama city.
- A higher percentage of married families is found in Oxnard at 34.0% compared to 32.0% in Panama city.
- The poverty level is higher in Panama city at 12%, compared to 11% in Oxnard.
- The unemployment rate in Oxnard is higher at 4.9%, compared to 3.5% in Panama city.
Demographics
Demographics Oxnard vs Panama city provide insight into the diversity of the communities to compare.
| Demographic | Oxnard | Panama city |
|---|---|---|
| Black | 2 | 21 |
| White | -16 | 61 |
| Asian | 7 | 1 |
| Hispanic | 77 | 8 |
| Two or More Races | 27 | 8 |
| American Indian | 3 | 1 |
Demographics Comparison: Oxnard vs Panama city
- In Panama city, the percentage of Black residents is higher at 21% compared to 2% in Oxnard.
- The percentage of White residents is higher in Panama city at 61% compared to -16% in Oxnard.
- The Asian population is larger in Oxnard at 7% compared to 1% in Panama city.
- The Hispanic community is larger in Oxnard at 77% compared to 8% in Panama city.
- More residents identify as two or more races in Oxnard at 27% compared to 8% in Panama city.
- A greater percentage of American Indian residents live in Oxnard at 3% compared to 1% in Panama city.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Oxnard | Panama city |
|---|---|---|
| Mental Health Not Good | 15.8% | 17.7% |
| Physical Health Not Good | 13.1% | 13.5% |
| Depression | 17.0% | 21.8% |
| Smoking | 13.2% | 24.1% |
| Binge Drinking | 15.1% | 15.8% |
| Obesity | 30.3% | 33.6% |
| Disability Percentage | 9.0% | 20.0% |
Health Statistics Comparison: Oxnard vs Panama city
- In Panama city, a higher percentage report poor mental health at 17.7% compared to 15.8% in Oxnard.
- Higher depression rates are seen in Panama city at 21.8% versus 17.0% in Oxnard.
- Panama city has a higher smoking rate at 24.1% compared to 13.2% in Oxnard.
- More residents engage in binge drinking in Panama city at 15.8% compared to 15.1% in Oxnard.
- Panama city has higher obesity rates at 33.6% compared to 30.3% in Oxnard.
- There is a higher percentage of disabled individuals in Panama city at 20.0% 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 | Panama city |
|---|---|---|
| No Schooling | 3.5% (7,053) | 1.1% (395) |
| High School Diploma | 15.0% (30,118) | 15.6% (5,413) |
| Less than High School | 38.1% (76,346) | 11.3% (3,914) |
| Bachelor's Degree and Higher | 12.3% (24,627) | 17.4% (6,028) |
Education Levels Comparison: Oxnard vs Panama city
- A higher percentage of residents in Oxnard have no formal schooling at 3.5% compared to 1.1% in Panama city.
- In Panama city, the rate of residents with high school diplomas is higher at 15.6% compared to 15.0% in Oxnard.
- More residents in Oxnard have less than a high school education at 38.1% compared to 11.3% in Panama city.
- In Panama city, a larger share of residents have a bachelor's degree or higher at 17.4% 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.