Demographics details for Madison, MN vs Wilmington, NC
Population Overview
Compare main population characteristics in Madison, MN vs Wilmington, NC.
| Data | Madison | Wilmington |
|---|---|---|
| Population | 1,504 | 120,324 |
| Median Age | 56.5 years | 37.6 years |
| Median Income | $49,063 | $58,908 |
| Married Families | 41.0% | 32.0% |
| Poverty Level | 8% | 12% |
| Unemployment Rate | 3.2 | 3.7 |
Population Comparison: Madison vs Wilmington
- The population in Wilmington is higher at 120,324, compared to 1,504 in Madison.
- Residents in Madison have a higher median age of 56.5 years compared to 37.6 years in Wilmington.
- Wilmington has a higher median income of $58,908, compared to $49,063 in Madison.
- A higher percentage of married families is found in Madison at 41.0% compared to 32.0% in Wilmington.
- The poverty level is higher in Wilmington at 12%, compared to 8% in Madison.
- Wilmington has a higher unemployment rate at 3.7% compared to 3.2% in Madison.
Demographics
Demographics Madison vs Wilmington provide insight into the diversity of the communities to compare.
| Demographic | Madison | Wilmington |
|---|---|---|
| Black | Data is updating | 16 |
| White | 96 | 71 |
| Asian | 2 | 1 |
| Hispanic | 1 | 7 |
| Two or More Races | 1 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Madison vs Wilmington
- In Wilmington, the percentage of Black residents is higher at 16% compared to 0% in Madison.
- Madison has a higher percentage of White residents at 96% compared to 71% in Wilmington.
- The Asian population is larger in Madison at 2% compared to 1% in Wilmington.
- Wilmington has a higher percentage of Hispanic residents at 7%, compared to 1% in Madison.
- The percentage of residents identifying as two or more races is higher in Wilmington at 5%, compared to 1% in Madison.
- The percentage of American Indian residents is the same in both Madison and Wilmington at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Madison | Wilmington |
|---|---|---|
| Mental Health Not Good | 15.4% | 16.9% |
| Physical Health Not Good | 9.7% | 11.0% |
| Depression | 24.3% | 25.0% |
| Smoking | 18.7% | 16.5% |
| Binge Drinking | 20.4% | 18.5% |
| Obesity | 36.8% | 33.2% |
| Disability Percentage | 24.0% | 12.0% |
Health Statistics Comparison: Madison vs Wilmington
- In Wilmington, a higher percentage report poor mental health at 16.9% compared to 15.4% in Madison.
- Higher depression rates are seen in Wilmington at 25.0% versus 24.3% in Madison.
- Smoking is more prevalent in Madison at 18.7% compared to 16.5% in Wilmington.
- Binge drinking is more common in Madison at 20.4% compared to 18.5% in Wilmington.
- Obesity rates are higher in Madison at 36.8% compared to 33.2% in Wilmington.
- Disability percentages are higher in Madison at 24.0% compared to 12.0% in Wilmington.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Madison | Wilmington |
|---|---|---|
| No Schooling | 0.3% (4) | 0.5% (560) |
| High School Diploma | 28.3% (425) | 10.5% (12,679) |
| Less than High School | 7.4% (111) | 7.1% (8,513) |
| Bachelor's Degree and Higher | 15.0% (226) | 28.5% (34,319) |
Education Levels Comparison: Madison vs Wilmington
- In Wilmington, a larger percentage of residents lack formal schooling at 0.5% compared to 0.3% in Madison.
- A higher percentage of residents in Madison hold a high school diploma at 28.3% compared to 10.5% in Wilmington.
- More residents in Madison have less than a high school education at 7.4% compared to 7.1% in Wilmington.
- In Wilmington, a larger share of residents have a bachelor's degree or higher at 28.5% compared to 15.0% in Madison.
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.