Demographics details for South milwaukee, WI vs Oxford, NC
Population Overview
Compare main population characteristics in South milwaukee, WI vs Oxford, NC.
Data | South milwaukee | Oxford |
---|---|---|
Population | 20,309 | 8,771 |
Median Age | 41.6 years | 43.1 years |
Median Income | $68,801 | $42,016 |
Married Families | 40.0% | 29.0% |
Poverty Level | 6% | 12% |
Unemployment Rate | 3.9 | 4.1 |
Population Comparison: South milwaukee vs Oxford
- In South milwaukee, the population is higher at 20,309, compared to 8,771 in Oxford.
- The median age in Oxford is higher at 43.1 years, compared to 41.6 years in South milwaukee.
- South milwaukee has a higher median income of $68,801 compared to $42,016 in Oxford.
- A higher percentage of married families is found in South milwaukee at 40.0% compared to 29.0% in Oxford.
- The poverty level is higher in Oxford at 12%, compared to 6% in South milwaukee.
- Oxford has a higher unemployment rate at 4.1% compared to 3.9% in South milwaukee.
Demographics
Demographics South milwaukee vs Oxford provide insight into the diversity of the communities to compare.
Demographic | South milwaukee | Oxford |
---|---|---|
Black | 2 | 55 |
White | 76 | 31 |
Asian | 1 | 1 |
Hispanic | 12 | 6 |
Two or More Races | 7 | 7 |
American Indian | 2 | Data is updating |
Demographics Comparison: South milwaukee vs Oxford
- In Oxford, the percentage of Black residents is higher at 55% compared to 2% in South milwaukee.
- South milwaukee has a higher percentage of White residents at 76% compared to 31% in Oxford.
- Both South milwaukee and Oxford have the same percentage of Asian residents at 1%.
- The Hispanic community is larger in South milwaukee at 12% compared to 6% in Oxford.
- Both South milwaukee and Oxford have the same percentage of residents identifying as two or more races at 7%.
- A greater percentage of American Indian residents live in South milwaukee at 2% compared to 0% in Oxford.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | South milwaukee | Oxford |
---|---|---|
Mental Health Not Good | 16.4% | 17.7% |
Physical Health Not Good | 10.5% | 13.3% |
Depression | 25.2% | 22.8% |
Smoking | 18.2% | 20.8% |
Binge Drinking | 25.7% | 14.8% |
Obesity | 35.3% | 45.0% |
Disability Percentage | 15.0% | 15.0% |
Health Statistics Comparison: South milwaukee vs Oxford
- In Oxford, a higher percentage report poor mental health at 17.7% compared to 16.4% in South milwaukee.
- Depression is more prevalent in South milwaukee at 25.2% compared to 22.8% in Oxford.
- Oxford has a higher smoking rate at 20.8% compared to 18.2% in South milwaukee.
- Binge drinking is more common in South milwaukee at 25.7% compared to 14.8% in Oxford.
- Oxford has higher obesity rates at 45.0% compared to 35.3% in South milwaukee.
- Disability percentages are the same in both South milwaukee and Oxford at 15.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | South milwaukee | Oxford |
---|---|---|
No Schooling | 0.8% (153) | 2.9% (256) |
High School Diploma | 24.0% (4,866) | 15.8% (1,386) |
Less than High School | 11.3% (2,285) | 11.2% (980) |
Bachelor's Degree and Higher | 19.5% (3,959) | 16.6% (1,457) |
Education Levels Comparison: South milwaukee vs Oxford
- In Oxford, a larger percentage of residents lack formal schooling at 2.9% compared to 0.8% in South milwaukee.
- A higher percentage of residents in South milwaukee hold a high school diploma at 24.0% compared to 15.8% in Oxford.
- More residents in South milwaukee have less than a high school education at 11.3% compared to 11.2% in Oxford.
- A higher percentage of residents in South milwaukee hold a bachelor's degree or higher at 19.5% compared to 16.6% 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.