Demographics details for Malmo, NE vs Tullahoma, TN
Population Overview
Compare main population characteristics in Malmo, NE vs Tullahoma, TN.
| Data | Malmo | Tullahoma |
|---|---|---|
| Population | 96 | 20,830 |
| Median Age | 39.5 years | 40.2 years |
| Median Income | $72,500 | $56,771 |
| Married Families | 83.0% | 41.0% |
| Poverty Level | Data is updating | 10% |
| Unemployment Rate | 3.2 | 3.5 |
Population Comparison: Malmo vs Tullahoma
- The population in Tullahoma is higher at 20,830, compared to 96 in Malmo.
- The median age in Tullahoma is higher at 40.2 years, compared to 39.5 years in Malmo.
- Malmo has a higher median income of $72,500 compared to $56,771 in Tullahoma.
- A higher percentage of married families is found in Malmo at 83.0% compared to 41.0% in Tullahoma.
- The poverty level is higher in Tullahoma at 10%, compared to 0% in Malmo.
- Tullahoma has a higher unemployment rate at 3.5% compared to 3.2% in Malmo.
Demographics
Demographics Malmo vs Tullahoma provide insight into the diversity of the communities to compare.
| Demographic | Malmo | Tullahoma |
|---|---|---|
| Black | 3 | 6 |
| White | 57 | 83 |
| Asian | Data is updating | 2 |
| Hispanic | 20 | 5 |
| Two or More Races | 20 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Malmo vs Tullahoma
- In Tullahoma, the percentage of Black residents is higher at 6% compared to 3% in Malmo.
- The percentage of White residents is higher in Tullahoma at 83% compared to 57% in Malmo.
- In Tullahoma, the Asian population stands at 2%, greater than 0% in Malmo.
- The Hispanic community is larger in Malmo at 20% compared to 5% in Tullahoma.
- More residents identify as two or more races in Malmo at 20% compared to 4% in Tullahoma.
- The percentage of American Indian residents is the same in both Malmo and Tullahoma at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Malmo | Tullahoma |
|---|---|---|
| Mental Health Not Good | 13.2% | 19.9% |
| Physical Health Not Good | 8.8% | 14.0% |
| Depression | 17.3% | 28.9% |
| Smoking | 15.2% | 22.6% |
| Binge Drinking | 22.8% | 15.1% |
| Obesity | 35.6% | 39.1% |
| Disability Percentage | 5.0% | 19.0% |
Health Statistics Comparison: Malmo vs Tullahoma
- In Tullahoma, a higher percentage report poor mental health at 19.9% compared to 13.2% in Malmo.
- Higher depression rates are seen in Tullahoma at 28.9% versus 17.3% in Malmo.
- Tullahoma has a higher smoking rate at 22.6% compared to 15.2% in Malmo.
- Binge drinking is more common in Malmo at 22.8% compared to 15.1% in Tullahoma.
- Tullahoma has higher obesity rates at 39.1% compared to 35.6% in Malmo.
- There is a higher percentage of disabled individuals in Tullahoma at 19.0% compared to 5.0% in Malmo.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Malmo | Tullahoma |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.6% (117) |
| High School Diploma | 25.0% (24) | 18.9% (3,932) |
| Less than High School | 6.2% (6) | 14.1% (2,944) |
| Bachelor's Degree and Higher | 11.5% (11) | 19.3% (4,012) |
Education Levels Comparison: Malmo vs Tullahoma
- In Tullahoma, a larger percentage of residents lack formal schooling at 0.6% compared to 0.0% in Malmo.
- A higher percentage of residents in Malmo hold a high school diploma at 25.0% compared to 18.9% in Tullahoma.
- The percentage of residents with less than a high school education is higher in Tullahoma at 14.1%, compared to 6.2% in Malmo.
- In Tullahoma, a larger share of residents have a bachelor's degree or higher at 19.3% compared to 11.5% in Malmo.
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.