Demographics details for Manitowoc, WI vs Oxford, NJ
Population Overview
Compare main population characteristics in Manitowoc, WI vs Oxford, NJ.
Data | Manitowoc | Oxford |
---|---|---|
Population | 34,570 | 1,249 |
Median Age | 42.9 years | 43.1 years |
Median Income | $60,040 | $60,833 |
Married Families | 36.0% | 32.0% |
Poverty Level | 8% | 5% |
Unemployment Rate | 3.3 | 3.2 |
Population Comparison: Manitowoc vs Oxford
- In Manitowoc, the population is higher at 34,570, compared to 1,249 in Oxford.
- The median age in Oxford is higher at 43.1 years, compared to 42.9 years in Manitowoc.
- Oxford has a higher median income of $60,833, compared to $60,040 in Manitowoc.
- A higher percentage of married families is found in Manitowoc at 36.0% compared to 32.0% in Oxford.
- Manitowoc has a higher poverty level at 8% compared to 5% in Oxford.
- The unemployment rate in Manitowoc is higher at 3.3%, compared to 3.2% in Oxford.
Demographics
Demographics Manitowoc vs Oxford provide insight into the diversity of the communities to compare.
Demographic | Manitowoc | Oxford |
---|---|---|
Black | 2 | 2 |
White | 83 | 77 |
Asian | 5 | 1 |
Hispanic | 6 | 16 |
Two or More Races | 4 | 4 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Manitowoc vs Oxford
- The percentage of Black residents is the same in both Manitowoc and Oxford at 2%.
- Manitowoc has a higher percentage of White residents at 83% compared to 77% in Oxford.
- The Asian population is larger in Manitowoc at 5% compared to 1% in Oxford.
- Oxford has a higher percentage of Hispanic residents at 16%, compared to 6% in Manitowoc.
- Both Manitowoc and Oxford have the same percentage of residents identifying as two or more races at 4%.
- The percentage of American Indian residents is the same in both Manitowoc and Oxford at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Manitowoc | Oxford |
---|---|---|
Mental Health Not Good | 15.1% | 16.5% |
Physical Health Not Good | 10.4% | 10.7% |
Depression | 23.4% | 23.4% |
Smoking | 16.9% | 16.2% |
Binge Drinking | 23.4% | 18.9% |
Obesity | 36.0% | 31.2% |
Disability Percentage | 14.0% | 20.0% |
Health Statistics Comparison: Manitowoc vs Oxford
- In Oxford, a higher percentage report poor mental health at 16.5% compared to 15.1% in Manitowoc.
- Both cities have comparable depression rates at 23.4%.
- Smoking is more prevalent in Manitowoc at 16.9% compared to 16.2% in Oxford.
- Binge drinking is more common in Manitowoc at 23.4% compared to 18.9% in Oxford.
- Obesity rates are higher in Manitowoc at 36.0% compared to 31.2% in Oxford.
- There is a higher percentage of disabled individuals in Oxford at 20.0% compared to 14.0% in Manitowoc.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Manitowoc | Oxford |
---|---|---|
No Schooling | 1.5% (515) | 0.5% (6) |
High School Diploma | 22.3% (7,700) | 29.1% (364) |
Less than High School | 11.0% (3,814) | 13.1% (164) |
Bachelor's Degree and Higher | 18.0% (6,216) | 21.3% (266) |
Education Levels Comparison: Manitowoc vs Oxford
- A higher percentage of residents in Manitowoc have no formal schooling at 1.5% compared to 0.5% in Oxford.
- In Oxford, the rate of residents with high school diplomas is higher at 29.1% compared to 22.3% in Manitowoc.
- The percentage of residents with less than a high school education is higher in Oxford at 13.1%, compared to 11.0% in Manitowoc.
- In Oxford, a larger share of residents have a bachelor's degree or higher at 21.3% compared to 18.0% in Manitowoc.
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.