Demographics details for Oxford, AL vs Murrieta, CA
Population Overview
Compare main population characteristics in Oxford, AL vs Murrieta, CA.
Data | Oxford | Murrieta |
---|---|---|
Population | 22,002 | 113,783 |
Median Age | 37.4 years | 35.6 years |
Median Income | $66,031 | $106,925 |
Married Families | 37.0% | 41.0% |
Poverty Level | 10% | 9% |
Unemployment Rate | 3.5 | 4.3 |
Population Comparison: Oxford vs Murrieta
- The population in Murrieta is higher at 113,783, compared to 22,002 in Oxford.
- Residents in Oxford have a higher median age of 37.4 years compared to 35.6 years in Murrieta.
- Murrieta has a higher median income of $106,925, compared to $66,031 in Oxford.
- In Murrieta, the percentage of married families is higher at 41.0%, compared to 37.0% in Oxford.
- Oxford has a higher poverty level at 10% compared to 9% in Murrieta.
- Murrieta has a higher unemployment rate at 4.3% compared to 3.5% in Oxford.
Demographics
Demographics Oxford vs Murrieta provide insight into the diversity of the communities to compare.
Demographic | Oxford | Murrieta |
---|---|---|
Black | 16 | 5 |
White | 73 | 38 |
Asian | 1 | 8 |
Hispanic | 7 | 34 |
Two or More Races | 3 | 15 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Oxford vs Murrieta
- A higher percentage of Black residents are in Oxford at 16% compared to 5% in Murrieta.
- Oxford has a higher percentage of White residents at 73% compared to 38% in Murrieta.
- In Murrieta, the Asian population stands at 8%, greater than 1% in Oxford.
- Murrieta has a higher percentage of Hispanic residents at 34%, compared to 7% in Oxford.
- The percentage of residents identifying as two or more races is higher in Murrieta at 15%, compared to 3% in Oxford.
- The percentage of American Indian residents is the same in both Oxford and Murrieta at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Oxford | Murrieta |
---|---|---|
Mental Health Not Good | 18.8% | 15.0% |
Physical Health Not Good | 13.2% | 9.7% |
Depression | 23.8% | 17.3% |
Smoking | 19.8% | 11.3% |
Binge Drinking | 15.1% | 17.6% |
Obesity | 37.4% | 32.5% |
Disability Percentage | 19.0% | 10.0% |
Health Statistics Comparison: Oxford vs Murrieta
- More residents in Oxford report poor mental health at 18.8% compared to 15.0% in Murrieta.
- Depression is more prevalent in Oxford at 23.8% compared to 17.3% in Murrieta.
- Smoking is more prevalent in Oxford at 19.8% compared to 11.3% in Murrieta.
- More residents engage in binge drinking in Murrieta at 17.6% compared to 15.1% in Oxford.
- Obesity rates are higher in Oxford at 37.4% compared to 32.5% in Murrieta.
- Disability percentages are higher in Oxford at 19.0% compared to 10.0% in Murrieta.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Oxford | Murrieta |
---|---|---|
No Schooling | 1.4% (306) | 1.2% (1,387) |
High School Diploma | 16.1% (3,534) | 11.8% (13,439) |
Less than High School | 17.9% (3,933) | 8.4% (9,580) |
Bachelor's Degree and Higher | 16.5% (3,625) | 18.6% (21,123) |
Education Levels Comparison: Oxford vs Murrieta
- A higher percentage of residents in Oxford have no formal schooling at 1.4% compared to 1.2% in Murrieta.
- A higher percentage of residents in Oxford hold a high school diploma at 16.1% compared to 11.8% in Murrieta.
- More residents in Oxford have less than a high school education at 17.9% compared to 8.4% in Murrieta.
- In Murrieta, a larger share of residents have a bachelor's degree or higher at 18.6% compared to 16.5% in Oxford.
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.