Demographics details for Tyler, TX vs Mitchell, IN
Population Overview
Compare main population characteristics in Tyler, TX vs Mitchell, IN.
| Data | Tyler | Mitchell |
|---|---|---|
| Population | 109,286 | 3,940 |
| Median Age | 34.9 years | 35.5 years |
| Median Income | $63,056 | $51,025 |
| Married Families | 35.0% | 32.0% |
| Poverty Level | 12% | 10% |
| Unemployment Rate | 4.2 | 3.5 |
Population Comparison: Tyler vs Mitchell
- In Tyler, the population is higher at 109,286, compared to 3,940 in Mitchell.
- The median age in Mitchell is higher at 35.5 years, compared to 34.9 years in Tyler.
- Tyler has a higher median income of $63,056 compared to $51,025 in Mitchell.
- A higher percentage of married families is found in Tyler at 35.0% compared to 32.0% in Mitchell.
- Tyler has a higher poverty level at 12% compared to 10% in Mitchell.
- The unemployment rate in Tyler is higher at 4.2%, compared to 3.5% in Mitchell.
Demographics
Demographics Tyler vs Mitchell provide insight into the diversity of the communities to compare.
| Demographic | Tyler | Mitchell |
|---|---|---|
| Black | 23 | 1 |
| White | 46 | 92 |
| Asian | 3 | 4 |
| Hispanic | 21 | 1 |
| Two or More Races | 6 | 2 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Tyler vs Mitchell
- A higher percentage of Black residents are in Tyler at 23% compared to 1% in Mitchell.
- The percentage of White residents is higher in Mitchell at 92% compared to 46% in Tyler.
- In Mitchell, the Asian population stands at 4%, greater than 3% in Tyler.
- The Hispanic community is larger in Tyler at 21% compared to 1% in Mitchell.
- More residents identify as two or more races in Tyler at 6% compared to 2% in Mitchell.
- A greater percentage of American Indian residents live in Tyler at 1% compared to 0% in Mitchell.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Tyler | Mitchell |
|---|---|---|
| Mental Health Not Good | 18.0% | 19.4% |
| Physical Health Not Good | 12.5% | 13.7% |
| Depression | 22.9% | 28.5% |
| Smoking | 18.0% | 24.3% |
| Binge Drinking | 16.8% | 15.9% |
| Obesity | 37.5% | 43.5% |
| Disability Percentage | 11.0% | 21.0% |
Health Statistics Comparison: Tyler vs Mitchell
- In Mitchell, a higher percentage report poor mental health at 19.4% compared to 18.0% in Tyler.
- Higher depression rates are seen in Mitchell at 28.5% versus 22.9% in Tyler.
- Mitchell has a higher smoking rate at 24.3% compared to 18.0% in Tyler.
- Binge drinking is more common in Tyler at 16.8% compared to 15.9% in Mitchell.
- Mitchell has higher obesity rates at 43.5% compared to 37.5% in Tyler.
- There is a higher percentage of disabled individuals in Mitchell at 21.0% compared to 11.0% in Tyler.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Tyler | Mitchell |
|---|---|---|
| No Schooling | 0.9% (1,016) | 1.6% (63) |
| High School Diploma | 11.0% (12,027) | 20.4% (802) |
| Less than High School | 13.4% (14,636) | 29.2% (1,152) |
| Bachelor's Degree and Higher | 19.4% (21,157) | 9.8% (387) |
Education Levels Comparison: Tyler vs Mitchell
- In Mitchell, a larger percentage of residents lack formal schooling at 1.6% compared to 0.9% in Tyler.
- In Mitchell, the rate of residents with high school diplomas is higher at 20.4% compared to 11.0% in Tyler.
- The percentage of residents with less than a high school education is higher in Mitchell at 29.2%, compared to 13.4% in Tyler.
- A higher percentage of residents in Tyler hold a bachelor's degree or higher at 19.4% compared to 9.8% in Mitchell.
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.