Demographics details for Norway, MI vs Oxford, NC
Population Overview
Compare main population characteristics in Norway, MI vs Oxford, NC.
| Data | Norway | Oxford |
|---|---|---|
| Population | 2,827 | 8,771 |
| Median Age | 45.3 years | 43.1 years |
| Median Income | $49,261 | $42,016 |
| Married Families | 38.0% | 29.0% |
| Poverty Level | 15% | 12% |
| Unemployment Rate | 4.5 | 4.1 |
Population Comparison: Norway vs Oxford
- The population in Oxford is higher at 8,771, compared to 2,827 in Norway.
- Residents in Norway have a higher median age of 45.3 years compared to 43.1 years in Oxford.
- Norway has a higher median income of $49,261 compared to $42,016 in Oxford.
- A higher percentage of married families is found in Norway at 38.0% compared to 29.0% in Oxford.
- Norway has a higher poverty level at 15% compared to 12% in Oxford.
- The unemployment rate in Norway is higher at 4.5%, compared to 4.1% in Oxford.
Demographics
Demographics Norway vs Oxford provide insight into the diversity of the communities to compare.
| Demographic | Norway | Oxford |
|---|---|---|
| Black | 1 | 55 |
| White | 96 | 31 |
| Asian | Data is updating | 1 |
| Hispanic | Data is updating | 6 |
| Two or More Races | 3 | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Norway vs Oxford
- In Oxford, the percentage of Black residents is higher at 55% compared to 1% in Norway.
- Norway has a higher percentage of White residents at 96% compared to 31% in Oxford.
- In Oxford, the Asian population stands at 1%, greater than 0% in Norway.
- Oxford has a higher percentage of Hispanic residents at 6%, compared to 0% in Norway.
- The percentage of residents identifying as two or more races is higher in Oxford at 7%, compared to 3% in Norway.
- The percentage of American Indian residents is the same in both Norway and Oxford at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Norway | Oxford |
|---|---|---|
| Mental Health Not Good | 16.9% | 17.7% |
| Physical Health Not Good | 10.2% | 13.3% |
| Depression | 25.7% | 22.8% |
| Smoking | 16.4% | 20.8% |
| Binge Drinking | 19.1% | 14.8% |
| Obesity | 34.9% | 45.0% |
| Disability Percentage | 18.0% | 15.0% |
Health Statistics Comparison: Norway vs Oxford
- In Oxford, a higher percentage report poor mental health at 17.7% compared to 16.9% in Norway.
- Depression is more prevalent in Norway at 25.7% compared to 22.8% in Oxford.
- Oxford has a higher smoking rate at 20.8% compared to 16.4% in Norway.
- Binge drinking is more common in Norway at 19.1% compared to 14.8% in Oxford.
- Oxford has higher obesity rates at 45.0% compared to 34.9% in Norway.
- Disability percentages are higher in Norway at 18.0% compared to 15.0% in Oxford.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Norway | Oxford |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 2.9% (256) |
| High School Diploma | 21.9% (618) | 15.8% (1,386) |
| Less than High School | 11.6% (329) | 11.2% (980) |
| Bachelor's Degree and Higher | 12.2% (346) | 16.6% (1,457) |
Education Levels Comparison: Norway vs Oxford
- In Oxford, a larger percentage of residents lack formal schooling at 2.9% compared to 0.0% in Norway.
- A higher percentage of residents in Norway hold a high school diploma at 21.9% compared to 15.8% in Oxford.
- More residents in Norway have less than a high school education at 11.6% compared to 11.2% in Oxford.
- In Oxford, a larger share of residents have a bachelor's degree or higher at 16.6% compared to 12.2% in Norway.
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.