Demographics details for Milan, OH vs Roaring river, NC
Population Overview
Compare main population characteristics in Milan, OH vs Roaring river, NC.
| Data | Milan | Roaring river |
|---|---|---|
| Population | 1,359 | 1,000 |
| Median Age | 40.1 years | 35.0 years |
| Median Income | $90,145 | $60,000 |
| Married Families | 51.0% | 500.0% |
| Poverty Level | 5% | 12% |
| Unemployment Rate | 3.5 | 4.0 |
Population Comparison: Milan vs Roaring river
- In Milan, the population is higher at 1,359, compared to 1,000 in Roaring river.
- Residents in Milan have a higher median age of 40.1 years compared to 35.0 years in Roaring river.
- Milan has a higher median income of $90,145 compared to $60,000 in Roaring river.
- In Roaring river, the percentage of married families is higher at 500.0%, compared to 51.0% in Milan.
- The poverty level is higher in Roaring river at 12%, compared to 5% in Milan.
- Roaring river has a higher unemployment rate at 4.0% compared to 3.5% in Milan.
Demographics
Demographics Milan vs Roaring river provide insight into the diversity of the communities to compare.
| Demographic | Milan | Roaring river |
|---|---|---|
| Black | 2 | 5 |
| White | 94 | 90 |
| Asian | Data is updating | 2 |
| Hispanic | 2 | 2 |
| Two or More Races | 2 | 1 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Milan vs Roaring river
- In Roaring river, the percentage of Black residents is higher at 5% compared to 2% in Milan.
- Milan has a higher percentage of White residents at 94% compared to 90% in Roaring river.
- In Roaring river, the Asian population stands at 2%, greater than 0% in Milan.
- The percentage of Hispanic residents is the same in both Milan and Roaring river at 2%.
- More residents identify as two or more races in Milan at 2% compared to 1% in Roaring river.
- The percentage of American Indian residents is the same in both Milan and Roaring river at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Milan | Roaring river |
|---|---|---|
| Mental Health Not Good | 16.5% | Data is updating% |
| Physical Health Not Good | 10.6% | Data is updating% |
| Depression | 24.1% | Data is updating% |
| Smoking | 19.3% | Data is updating% |
| Binge Drinking | 21.0% | Data is updating% |
| Obesity | 39.2% | Data is updating% |
| Disability Percentage | 13.0% | Data is updating% |
Health Statistics Comparison: Milan vs Roaring river
- More residents in Milan report poor mental health at 16.5% compared to 0.0% in Roaring river.
- Depression is more prevalent in Milan at 24.1% compared to 0.0% in Roaring river.
- Smoking is more prevalent in Milan at 19.3% compared to 0.0% in Roaring river.
- Binge drinking is more common in Milan at 21.0% compared to 0.0% in Roaring river.
- Obesity rates are higher in Milan at 39.2% compared to 0.0% in Roaring river.
- Disability percentages are higher in Milan at 13.0% compared to 0.0% in Roaring river.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Milan | Roaring river |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
| High School Diploma | 30.7% (417) | 0.0% (Data is updating) |
| Less than High School | 4.0% (54) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 18.3% (249) | 0.0% (Data is updating) |
Education Levels Comparison: Milan vs Roaring river
- The percentage of residents with no formal schooling is the same in both Milan and Roaring river at 0.0%.
- A higher percentage of residents in Milan hold a high school diploma at 30.7% compared to 0.0% in Roaring river.
- More residents in Milan have less than a high school education at 4.0% compared to 0.0% in Roaring river.
- A higher percentage of residents in Milan hold a bachelor's degree or higher at 18.3% compared to 0.0% in Roaring river.
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.