Demographics details for Oxford, AL vs Monmouth, IA
Population Overview
Compare main population characteristics in Oxford, AL vs Monmouth, IA.
Data | Oxford | Monmouth |
---|---|---|
Population | 22,002 | 126 |
Median Age | 37.4 years | 51.0 years |
Median Income | $66,031 | $57,500 |
Married Families | 37.0% | 67.0% |
Poverty Level | 10% | Data is updating |
Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Oxford vs Monmouth
- In Oxford, the population is higher at 22,002, compared to 126 in Monmouth.
- The median age in Monmouth is higher at 51.0 years, compared to 37.4 years in Oxford.
- Oxford has a higher median income of $66,031 compared to $57,500 in Monmouth.
- In Monmouth, the percentage of married families is higher at 67.0%, compared to 37.0% in Oxford.
- Oxford has a higher poverty level at 10% compared to 0% in Monmouth.
- The unemployment rate is the same in both Oxford and Monmouth at 3.5%.
Demographics
Demographics Oxford vs Monmouth provide insight into the diversity of the communities to compare.
Demographic | Oxford | Monmouth |
---|---|---|
Black | 16 | Data is updating |
White | 73 | 90 |
Asian | 1 | 10 |
Hispanic | 7 | Data is updating |
Two or More Races | 3 | Data is updating |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Oxford vs Monmouth
- A higher percentage of Black residents are in Oxford at 16% compared to 0% in Monmouth.
- The percentage of White residents is higher in Monmouth at 90% compared to 73% in Oxford.
- In Monmouth, the Asian population stands at 10%, greater than 1% in Oxford.
- The Hispanic community is larger in Oxford at 7% compared to 0% in Monmouth.
- More residents identify as two or more races in Oxford at 3% compared to 0% in Monmouth.
- The percentage of American Indian residents is the same in both Oxford and Monmouth at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Oxford | Monmouth |
---|---|---|
Mental Health Not Good | 18.8% | 16.2% |
Physical Health Not Good | 13.2% | 9.9% |
Depression | 23.8% | 19.4% |
Smoking | 19.8% | 18.1% |
Binge Drinking | 15.1% | 21.8% |
Obesity | 37.4% | 36.2% |
Disability Percentage | 19.0% | 17.0% |
Health Statistics Comparison: Oxford vs Monmouth
- More residents in Oxford report poor mental health at 18.8% compared to 16.2% in Monmouth.
- Depression is more prevalent in Oxford at 23.8% compared to 19.4% in Monmouth.
- Smoking is more prevalent in Oxford at 19.8% compared to 18.1% in Monmouth.
- More residents engage in binge drinking in Monmouth at 21.8% compared to 15.1% in Oxford.
- Obesity rates are higher in Oxford at 37.4% compared to 36.2% in Monmouth.
- Disability percentages are higher in Oxford at 19.0% compared to 17.0% in Monmouth.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Oxford | Monmouth |
---|---|---|
No Schooling | 1.4% (306) | 0.0% (Data is updating) |
High School Diploma | 16.1% (3,534) | 50.0% (63) |
Less than High School | 17.9% (3,933) | 19.0% (24) |
Bachelor's Degree and Higher | 16.5% (3,625) | 1.6% (2) |
Education Levels Comparison: Oxford vs Monmouth
- A higher percentage of residents in Oxford have no formal schooling at 1.4% compared to 0.0% in Monmouth.
- In Monmouth, the rate of residents with high school diplomas is higher at 50.0% compared to 16.1% in Oxford.
- The percentage of residents with less than a high school education is higher in Monmouth at 19.0%, 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 1.6% in Monmouth.
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.