Demographics details for Big bear lake, CA vs Oxford, MS
Population Overview
Compare main population characteristics in Big bear lake, CA vs Oxford, MS.
| Data | Big bear lake | Oxford |
|---|---|---|
| Population | 5,031 | 26,437 |
| Median Age | 47.5 years | 27.7 years |
| Median Income | $70,020 | $56,784 |
| Married Families | 42.0% | 28.0% |
| Poverty Level | 10% | 18% |
| Unemployment Rate | 5.0 | 2.7 |
Population Comparison: Big bear lake vs Oxford
- The population in Oxford is higher at 26,437, compared to 5,031 in Big bear lake.
- Residents in Big bear lake have a higher median age of 47.5 years compared to 27.7 years in Oxford.
- Big bear lake has a higher median income of $70,020 compared to $56,784 in Oxford.
- A higher percentage of married families is found in Big bear lake at 42.0% compared to 28.0% in Oxford.
- The poverty level is higher in Oxford at 18%, compared to 10% in Big bear lake.
- The unemployment rate in Big bear lake is higher at 5.0%, compared to 2.7% in Oxford.
Demographics
Demographics Big bear lake vs Oxford provide insight into the diversity of the communities to compare.
| Demographic | Big bear lake | Oxford |
|---|---|---|
| Black | Data is updating | 25 |
| White | 50 | 68 |
| Asian | 3 | 3 |
| Hispanic | 30 | 2 |
| Two or More Races | 16 | 2 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Big bear lake vs Oxford
- In Oxford, the percentage of Black residents is higher at 25% compared to 0% in Big bear lake.
- The percentage of White residents is higher in Oxford at 68% compared to 50% in Big bear lake.
- Both Big bear lake and Oxford have the same percentage of Asian residents at 3%.
- The Hispanic community is larger in Big bear lake at 30% compared to 2% in Oxford.
- More residents identify as two or more races in Big bear lake at 16% compared to 2% in Oxford.
- A greater percentage of American Indian residents live in Big bear lake at 1% compared to 0% in Oxford.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Big bear lake | Oxford |
|---|---|---|
| Mental Health Not Good | 17.4% | 15.1% |
| Physical Health Not Good | 12.1% | 10.6% |
| Depression | 20.5% | 21.3% |
| Smoking | 14.1% | 15.2% |
| Binge Drinking | 17.0% | 14.9% |
| Obesity | 37.0% | 35.0% |
| Disability Percentage | 9.0% | 8.0% |
Health Statistics Comparison: Big bear lake vs Oxford
- More residents in Big bear lake report poor mental health at 17.4% compared to 15.1% in Oxford.
- Higher depression rates are seen in Oxford at 21.3% versus 20.5% in Big bear lake.
- Oxford has a higher smoking rate at 15.2% compared to 14.1% in Big bear lake.
- Binge drinking is more common in Big bear lake at 17.0% compared to 14.9% in Oxford.
- Obesity rates are higher in Big bear lake at 37.0% compared to 35.0% in Oxford.
- Disability percentages are higher in Big bear lake at 9.0% compared to 8.0% in Oxford.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Big bear lake | Oxford |
|---|---|---|
| No Schooling | 0.7% (37) | 0.4% (114) |
| High School Diploma | 16.4% (825) | 7.0% (1,862) |
| Less than High School | 12.6% (634) | 5.5% (1,444) |
| Bachelor's Degree and Higher | 25.7% (1,294) | 33.0% (8,735) |
Education Levels Comparison: Big bear lake vs Oxford
- A higher percentage of residents in Big bear lake have no formal schooling at 0.7% compared to 0.4% in Oxford.
- A higher percentage of residents in Big bear lake hold a high school diploma at 16.4% compared to 7.0% in Oxford.
- More residents in Big bear lake have less than a high school education at 12.6% compared to 5.5% in Oxford.
- In Oxford, a larger share of residents have a bachelor's degree or higher at 33.0% compared to 25.7% in Big bear lake.
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.