Demographics details for Milan, MO vs Tullahoma, TN
Population Overview
Compare main population characteristics in Milan, MO vs Tullahoma, TN.
| Data | Milan | Tullahoma |
|---|---|---|
| Population | 1,771 | 20,830 |
| Median Age | 41.3 years | 40.2 years |
| Median Income | $51,842 | $56,771 |
| Married Families | 39.0% | 41.0% |
| Poverty Level | 12% | 10% |
| Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Milan vs Tullahoma
- The population in Tullahoma is higher at 20,830, compared to 1,771 in Milan.
- Residents in Milan have a higher median age of 41.3 years compared to 40.2 years in Tullahoma.
- Tullahoma has a higher median income of $56,771, compared to $51,842 in Milan.
- In Tullahoma, the percentage of married families is higher at 41.0%, compared to 39.0% in Milan.
- Milan has a higher poverty level at 12% compared to 10% in Tullahoma.
- The unemployment rate is the same in both Milan and Tullahoma at 3.5%.
Demographics
Demographics Milan vs Tullahoma provide insight into the diversity of the communities to compare.
| Demographic | Milan | Tullahoma |
|---|---|---|
| Black | 10 | 6 |
| White | 25 | 83 |
| Asian | 2 | 2 |
| Hispanic | 51 | 5 |
| Two or More Races | 12 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Milan vs Tullahoma
- A higher percentage of Black residents are in Milan at 10% compared to 6% in Tullahoma.
- The percentage of White residents is higher in Tullahoma at 83% compared to 25% in Milan.
- Both Milan and Tullahoma have the same percentage of Asian residents at 2%.
- The Hispanic community is larger in Milan at 51% compared to 5% in Tullahoma.
- More residents identify as two or more races in Milan at 12% compared to 4% in Tullahoma.
- The percentage of American Indian residents is the same in both Milan and Tullahoma at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Milan | Tullahoma |
|---|---|---|
| Mental Health Not Good | 18.8% | 19.9% |
| Physical Health Not Good | 15.8% | 14.0% |
| Depression | 24.2% | 28.9% |
| Smoking | 23.0% | 22.6% |
| Binge Drinking | 15.8% | 15.1% |
| Obesity | 46.6% | 39.1% |
| Disability Percentage | 14.0% | 19.0% |
Health Statistics Comparison: Milan vs Tullahoma
- In Tullahoma, a higher percentage report poor mental health at 19.9% compared to 18.8% in Milan.
- Higher depression rates are seen in Tullahoma at 28.9% versus 24.2% in Milan.
- Smoking is more prevalent in Milan at 23.0% compared to 22.6% in Tullahoma.
- Binge drinking is more common in Milan at 15.8% compared to 15.1% in Tullahoma.
- Obesity rates are higher in Milan at 46.6% compared to 39.1% in Tullahoma.
- There is a higher percentage of disabled individuals in Tullahoma at 19.0% compared to 14.0% in Milan.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Milan | Tullahoma |
|---|---|---|
| No Schooling | 2.4% (43) | 0.6% (117) |
| High School Diploma | 28.8% (510) | 18.9% (3,932) |
| Less than High School | 29.1% (516) | 14.1% (2,944) |
| Bachelor's Degree and Higher | 7.7% (137) | 19.3% (4,012) |
Education Levels Comparison: Milan vs Tullahoma
- A higher percentage of residents in Milan have no formal schooling at 2.4% compared to 0.6% in Tullahoma.
- A higher percentage of residents in Milan hold a high school diploma at 28.8% compared to 18.9% in Tullahoma.
- More residents in Milan have less than a high school education at 29.1% compared to 14.1% in Tullahoma.
- In Tullahoma, a larger share of residents have a bachelor's degree or higher at 19.3% compared to 7.7% in Milan.
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.