Demographics details for Oxford, MS vs La junta, CO
Population Overview
Compare main population characteristics in Oxford, MS vs La junta, CO.
Data | Oxford | La junta |
---|---|---|
Population | 26,437 | 7,152 |
Median Age | 27.7 years | 40.3 years |
Median Income | $56,784 | $50,799 |
Married Families | 28.0% | 35.0% |
Poverty Level | 18% | 15% |
Unemployment Rate | 2.7 | 3.5 |
Population Comparison: Oxford vs La junta
- In Oxford, the population is higher at 26,437, compared to 7,152 in La junta.
- The median age in La junta is higher at 40.3 years, compared to 27.7 years in Oxford.
- Oxford has a higher median income of $56,784 compared to $50,799 in La junta.
- In La junta, the percentage of married families is higher at 35.0%, compared to 28.0% in Oxford.
- Oxford has a higher poverty level at 18% compared to 15% in La junta.
- La junta has a higher unemployment rate at 3.5% compared to 2.7% in Oxford.
Demographics
Demographics Oxford vs La junta provide insight into the diversity of the communities to compare.
Demographic | Oxford | La junta |
---|---|---|
Black | 25 | 1 |
White | 68 | 38 |
Asian | 3 | 1 |
Hispanic | 2 | 46 |
Two or More Races | 2 | 11 |
American Indian | Data is updating | 3 |
Demographics Comparison: Oxford vs La junta
- A higher percentage of Black residents are in Oxford at 25% compared to 1% in La junta.
- Oxford has a higher percentage of White residents at 68% compared to 38% in La junta.
- The Asian population is larger in Oxford at 3% compared to 1% in La junta.
- La junta has a higher percentage of Hispanic residents at 46%, compared to 2% in Oxford.
- The percentage of residents identifying as two or more races is higher in La junta at 11%, compared to 2% in Oxford.
- In La junta, the percentage of American Indian residents is higher at 3%, compared to 0% in Oxford.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Oxford | La junta |
---|---|---|
Mental Health Not Good | 15.1% | 17.3% |
Physical Health Not Good | 10.6% | 13.3% |
Depression | 21.3% | 22.5% |
Smoking | 15.2% | 17.9% |
Binge Drinking | 14.9% | 17.2% |
Obesity | 35.0% | 32.5% |
Disability Percentage | 8.0% | 19.0% |
Health Statistics Comparison: Oxford vs La junta
- In La junta, a higher percentage report poor mental health at 17.3% compared to 15.1% in Oxford.
- Higher depression rates are seen in La junta at 22.5% versus 21.3% in Oxford.
- La junta has a higher smoking rate at 17.9% compared to 15.2% in Oxford.
- More residents engage in binge drinking in La junta at 17.2% compared to 14.9% in Oxford.
- Obesity rates are higher in Oxford at 35.0% compared to 32.5% in La junta.
- There is a higher percentage of disabled individuals in La junta at 19.0% 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 | Oxford | La junta |
---|---|---|
No Schooling | 0.4% (114) | 0.3% (21) |
High School Diploma | 7.0% (1,862) | 18.6% (1,328) |
Less than High School | 5.5% (1,444) | 21.9% (1,569) |
Bachelor's Degree and Higher | 33.0% (8,735) | 13.2% (944) |
Education Levels Comparison: Oxford vs La junta
- A higher percentage of residents in Oxford have no formal schooling at 0.4% compared to 0.3% in La junta.
- In La junta, the rate of residents with high school diplomas is higher at 18.6% compared to 7.0% in Oxford.
- The percentage of residents with less than a high school education is higher in La junta at 21.9%, compared to 5.5% in Oxford.
- A higher percentage of residents in Oxford hold a bachelor's degree or higher at 33.0% compared to 13.2% in La junta.
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.