Demographics details for Scott city, KS vs Milan, OH
Population Overview
Compare main population characteristics in Scott city, KS vs Milan, OH.
| Data | Scott city | Milan |
|---|---|---|
| Population | 4,008 | 1,359 |
| Median Age | 36.0 years | 40.1 years |
| Median Income | $47,217 | $90,145 |
| Married Families | 44.0% | 51.0% |
| Poverty Level | 10% | 5% |
| Unemployment Rate | 4.0 | 3.5 |
Population Comparison: Scott city vs Milan
- In Scott city, the population is higher at 4,008, compared to 1,359 in Milan.
- The median age in Milan is higher at 40.1 years, compared to 36.0 years in Scott city.
- Milan has a higher median income of $90,145, compared to $47,217 in Scott city.
- In Milan, the percentage of married families is higher at 51.0%, compared to 44.0% in Scott city.
- Scott city has a higher poverty level at 10% compared to 5% in Milan.
- The unemployment rate in Scott city is higher at 4.0%, compared to 3.5% in Milan.
Demographics
Demographics Scott city vs Milan provide insight into the diversity of the communities to compare.
| Demographic | Scott city | Milan |
|---|---|---|
| Black | Data is updating | 2 |
| White | 69 | 94 |
| Asian | 1 | Data is updating |
| Hispanic | 25 | 2 |
| Two or More Races | 5 | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Scott city vs Milan
- In Milan, the percentage of Black residents is higher at 2% compared to 0% in Scott city.
- The percentage of White residents is higher in Milan at 94% compared to 69% in Scott city.
- The Asian population is larger in Scott city at 1% compared to 0% in Milan.
- The Hispanic community is larger in Scott city at 25% compared to 2% in Milan.
- More residents identify as two or more races in Scott city at 5% compared to 2% in Milan.
- The percentage of American Indian residents is the same in both Scott city and Milan at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Scott city | Milan |
|---|---|---|
| Mental Health Not Good | 15.6% | 16.5% |
| Physical Health Not Good | 10.3% | 10.6% |
| Depression | 19.7% | 24.1% |
| Smoking | 17.6% | 19.3% |
| Binge Drinking | 19.2% | 21.0% |
| Obesity | 38.1% | 39.2% |
| Disability Percentage | 11.0% | 13.0% |
Health Statistics Comparison: Scott city vs Milan
- In Milan, a higher percentage report poor mental health at 16.5% compared to 15.6% in Scott city.
- Higher depression rates are seen in Milan at 24.1% versus 19.7% in Scott city.
- Milan has a higher smoking rate at 19.3% compared to 17.6% in Scott city.
- More residents engage in binge drinking in Milan at 21.0% compared to 19.2% in Scott city.
- Milan has higher obesity rates at 39.2% compared to 38.1% in Scott city.
- There is a higher percentage of disabled individuals in Milan at 13.0% compared to 11.0% in Scott city.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Scott city | Milan |
|---|---|---|
| No Schooling | 2.9% (116) | 0.0% (Data is updating) |
| High School Diploma | 13.5% (543) | 30.7% (417) |
| Less than High School | 24.2% (968) | 4.0% (54) |
| Bachelor's Degree and Higher | 12.2% (490) | 18.3% (249) |
Education Levels Comparison: Scott city vs Milan
- A higher percentage of residents in Scott city have no formal schooling at 2.9% compared to 0.0% in Milan.
- In Milan, the rate of residents with high school diplomas is higher at 30.7% compared to 13.5% in Scott city.
- More residents in Scott city have less than a high school education at 24.2% compared to 4.0% in Milan.
- In Milan, a larger share of residents have a bachelor's degree or higher at 18.3% compared to 12.2% in Scott city.
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.