Demographics details for Mitchell, IN vs Trenton, NC
Population Overview
Compare main population characteristics in Mitchell, IN vs Trenton, NC.
| Data | Mitchell | Trenton |
|---|---|---|
| Population | 3,940 | 238 |
| Median Age | 35.5 years | 44.5 years |
| Median Income | $51,025 | $45,417 |
| Married Families | 32.0% | 25.0% |
| Poverty Level | 10% | 12% |
| Unemployment Rate | 3.5 | 4.5 |
Population Comparison: Mitchell vs Trenton
- In Mitchell, the population is higher at 3,940, compared to 238 in Trenton.
- The median age in Trenton is higher at 44.5 years, compared to 35.5 years in Mitchell.
- Mitchell has a higher median income of $51,025 compared to $45,417 in Trenton.
- A higher percentage of married families is found in Mitchell at 32.0% compared to 25.0% in Trenton.
- The poverty level is higher in Trenton at 12%, compared to 10% in Mitchell.
- Trenton has a higher unemployment rate at 4.5% compared to 3.5% in Mitchell.
Demographics
Demographics Mitchell vs Trenton provide insight into the diversity of the communities to compare.
| Demographic | Mitchell | Trenton |
|---|---|---|
| Black | 1 | 21 |
| White | 92 | 73 |
| Asian | 4 | Data is updating |
| Hispanic | 1 | 3 |
| Two or More Races | 2 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Mitchell vs Trenton
- In Trenton, the percentage of Black residents is higher at 21% compared to 1% in Mitchell.
- Mitchell has a higher percentage of White residents at 92% compared to 73% in Trenton.
- The Asian population is larger in Mitchell at 4% compared to 0% in Trenton.
- Trenton has a higher percentage of Hispanic residents at 3%, compared to 1% in Mitchell.
- The percentage of residents identifying as two or more races is higher in Trenton at 3%, compared to 2% in Mitchell.
- The percentage of American Indian residents is the same in both Mitchell and Trenton at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Mitchell | Trenton |
|---|---|---|
| Mental Health Not Good | 19.4% | 19.3% |
| Physical Health Not Good | 13.7% | 15.5% |
| Depression | 28.5% | 23.7% |
| Smoking | 24.3% | 24.8% |
| Binge Drinking | 15.9% | 15.0% |
| Obesity | 43.5% | 43.8% |
| Disability Percentage | 21.0% | 14.0% |
Health Statistics Comparison: Mitchell vs Trenton
- More residents in Mitchell report poor mental health at 19.4% compared to 19.3% in Trenton.
- Depression is more prevalent in Mitchell at 28.5% compared to 23.7% in Trenton.
- Trenton has a higher smoking rate at 24.8% compared to 24.3% in Mitchell.
- Binge drinking is more common in Mitchell at 15.9% compared to 15.0% in Trenton.
- Trenton has higher obesity rates at 43.8% compared to 43.5% in Mitchell.
- Disability percentages are higher in Mitchell at 21.0% compared to 14.0% in Trenton.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Mitchell | Trenton |
|---|---|---|
| No Schooling | 1.6% (63) | 0.0% (Data is updating) |
| High School Diploma | 20.4% (802) | 14.3% (34) |
| Less than High School | 29.2% (1,152) | 22.7% (54) |
| Bachelor's Degree and Higher | 9.8% (387) | 14.7% (35) |
Education Levels Comparison: Mitchell vs Trenton
- A higher percentage of residents in Mitchell have no formal schooling at 1.6% compared to 0.0% in Trenton.
- A higher percentage of residents in Mitchell hold a high school diploma at 20.4% compared to 14.3% in Trenton.
- More residents in Mitchell have less than a high school education at 29.2% compared to 22.7% in Trenton.
- In Trenton, a larger share of residents have a bachelor's degree or higher at 14.7% 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.