Demographics details for Oxford, AL vs San bernardino, CA
Population Overview
Compare main population characteristics in Oxford, AL vs San bernardino, CA.
Data | Oxford | San bernardino |
---|---|---|
Population | 22,002 | 220,328 |
Median Age | 37.4 years | 31.2 years |
Median Income | $66,031 | $61,323 |
Married Families | 37.0% | 29.0% |
Poverty Level | 10% | 23% |
Unemployment Rate | 3.5 | 6.4 |
Population Comparison: Oxford vs San bernardino
- The population in San bernardino is higher at 220,328, compared to 22,002 in Oxford.
- Residents in Oxford have a higher median age of 37.4 years compared to 31.2 years in San bernardino.
- Oxford has a higher median income of $66,031 compared to $61,323 in San bernardino.
- A higher percentage of married families is found in Oxford at 37.0% compared to 29.0% in San bernardino.
- The poverty level is higher in San bernardino at 23%, compared to 10% in Oxford.
- San bernardino has a higher unemployment rate at 6.4% compared to 3.5% in Oxford.
Demographics
Demographics Oxford vs San bernardino provide insight into the diversity of the communities to compare.
Demographic | Oxford | San bernardino |
---|---|---|
Black | 16 | 12 |
White | 73 | 2 |
Asian | 1 | 4 |
Hispanic | 7 | 68 |
Two or More Races | 3 | 13 |
American Indian | Data is updating | 1 |
Demographics Comparison: Oxford vs San bernardino
- A higher percentage of Black residents are in Oxford at 16% compared to 12% in San bernardino.
- Oxford has a higher percentage of White residents at 73% compared to 2% in San bernardino.
- In San bernardino, the Asian population stands at 4%, greater than 1% in Oxford.
- San bernardino has a higher percentage of Hispanic residents at 68%, compared to 7% in Oxford.
- The percentage of residents identifying as two or more races is higher in San bernardino at 13%, compared to 3% in Oxford.
- In San bernardino, the percentage of American Indian residents is higher at 1%, compared to 0% in Oxford.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Oxford | San bernardino |
---|---|---|
Mental Health Not Good | 18.8% | 19.0% |
Physical Health Not Good | 13.2% | 15.8% |
Depression | 23.8% | 19.1% |
Smoking | 19.8% | 17.2% |
Binge Drinking | 15.1% | 13.9% |
Obesity | 37.4% | 42.9% |
Disability Percentage | 19.0% | 12.0% |
Health Statistics Comparison: Oxford vs San bernardino
- In San bernardino, a higher percentage report poor mental health at 19.0% compared to 18.8% in Oxford.
- Depression is more prevalent in Oxford at 23.8% compared to 19.1% in San bernardino.
- Smoking is more prevalent in Oxford at 19.8% compared to 17.2% in San bernardino.
- Binge drinking is more common in Oxford at 15.1% compared to 13.9% in San bernardino.
- San bernardino has higher obesity rates at 42.9% compared to 37.4% in Oxford.
- Disability percentages are higher in Oxford at 19.0% compared to 12.0% in San bernardino.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Oxford | San bernardino |
---|---|---|
No Schooling | 1.4% (306) | 2.5% (5,419) |
High School Diploma | 16.1% (3,534) | 17.6% (38,770) |
Less than High School | 17.9% (3,933) | 31.2% (68,813) |
Bachelor's Degree and Higher | 16.5% (3,625) | 7.7% (17,071) |
Education Levels Comparison: Oxford vs San bernardino
- In San bernardino, a larger percentage of residents lack formal schooling at 2.5% compared to 1.4% in Oxford.
- In San bernardino, the rate of residents with high school diplomas is higher at 17.6% compared to 16.1% in Oxford.
- The percentage of residents with less than a high school education is higher in San bernardino at 31.2%, compared to 17.9% in Oxford.
- A higher percentage of residents in Oxford hold a bachelor's degree or higher at 16.5% compared to 7.7% in San bernardino.
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.