Demographics details for Tullahoma, TN vs Manteca, CA
Population Overview
Compare main population characteristics in Tullahoma, TN vs Manteca, CA.
| Data | Tullahoma | Manteca |
|---|---|---|
| Population | 20,830 | 86,928 |
| Median Age | 40.2 years | 37.0 years |
| Median Income | $56,771 | $89,966 |
| Married Families | 41.0% | 38.0% |
| Poverty Level | 10% | 10% |
| Unemployment Rate | 3.5 | 5.7 |
Population Comparison: Tullahoma vs Manteca
- The population in Manteca is higher at 86,928, compared to 20,830 in Tullahoma.
- Residents in Tullahoma have a higher median age of 40.2 years compared to 37.0 years in Manteca.
- Manteca has a higher median income of $89,966, compared to $56,771 in Tullahoma.
- A higher percentage of married families is found in Tullahoma at 41.0% compared to 38.0% in Manteca.
- The poverty level is identical in both Tullahoma and Manteca at 10%.
- Manteca has a higher unemployment rate at 5.7% compared to 3.5% in Tullahoma.
Demographics
Demographics Tullahoma vs Manteca provide insight into the diversity of the communities to compare.
| Demographic | Tullahoma | Manteca |
|---|---|---|
| Black | 6 | 3 |
| White | 83 | 26 |
| Asian | 2 | 14 |
| Hispanic | 5 | 39 |
| Two or More Races | 4 | 17 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Tullahoma vs Manteca
- A higher percentage of Black residents are in Tullahoma at 6% compared to 3% in Manteca.
- Tullahoma has a higher percentage of White residents at 83% compared to 26% in Manteca.
- In Manteca, the Asian population stands at 14%, greater than 2% in Tullahoma.
- Manteca has a higher percentage of Hispanic residents at 39%, compared to 5% in Tullahoma.
- The percentage of residents identifying as two or more races is higher in Manteca at 17%, compared to 4% in Tullahoma.
- In Manteca, the percentage of American Indian residents is higher at 1%, compared to 0% in Tullahoma.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Tullahoma | Manteca |
|---|---|---|
| Mental Health Not Good | 19.9% | 16.6% |
| Physical Health Not Good | 14.0% | 11.8% |
| Depression | 28.9% | 18.2% |
| Smoking | 22.6% | 13.8% |
| Binge Drinking | 15.1% | 16.6% |
| Obesity | 39.1% | 34.1% |
| Disability Percentage | 19.0% | 12.0% |
Health Statistics Comparison: Tullahoma vs Manteca
- More residents in Tullahoma report poor mental health at 19.9% compared to 16.6% in Manteca.
- Depression is more prevalent in Tullahoma at 28.9% compared to 18.2% in Manteca.
- Smoking is more prevalent in Tullahoma at 22.6% compared to 13.8% in Manteca.
- More residents engage in binge drinking in Manteca at 16.6% compared to 15.1% in Tullahoma.
- Obesity rates are higher in Tullahoma at 39.1% compared to 34.1% in Manteca.
- Disability percentages are higher in Tullahoma at 19.0% compared to 12.0% in Manteca.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Tullahoma | Manteca |
|---|---|---|
| No Schooling | 0.6% (117) | 1.7% (1,490) |
| High School Diploma | 18.9% (3,932) | 17.0% (14,775) |
| Less than High School | 14.1% (2,944) | 16.5% (14,304) |
| Bachelor's Degree and Higher | 19.3% (4,012) | 12.4% (10,753) |
Education Levels Comparison: Tullahoma vs Manteca
- In Manteca, a larger percentage of residents lack formal schooling at 1.7% compared to 0.6% in Tullahoma.
- A higher percentage of residents in Tullahoma hold a high school diploma at 18.9% compared to 17.0% in Manteca.
- The percentage of residents with less than a high school education is higher in Manteca at 16.5%, compared to 14.1% in Tullahoma.
- A higher percentage of residents in Tullahoma hold a bachelor's degree or higher at 19.3% compared to 12.4% in Manteca.
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.