Demographics details for Mitchell, IN vs New haven, MO
Population Overview
Compare main population characteristics in Mitchell, IN vs New haven, MO.
| Data | Mitchell | New haven |
|---|---|---|
| Population | 3,940 | 2,409 |
| Median Age | 35.5 years | 31.2 years |
| Median Income | $51,025 | $66,410 |
| Married Families | 32.0% | 60.0% |
| Poverty Level | 10% | 10% |
| Unemployment Rate | 3.5 | 2.5 |
Population Comparison: Mitchell vs New haven
- In Mitchell, the population is higher at 3,940, compared to 2,409 in New haven.
- Residents in Mitchell have a higher median age of 35.5 years compared to 31.2 years in New haven.
- New haven has a higher median income of $66,410, compared to $51,025 in Mitchell.
- In New haven, the percentage of married families is higher at 60.0%, compared to 32.0% in Mitchell.
- The poverty level is identical in both Mitchell and New haven at 10%.
- The unemployment rate in Mitchell is higher at 3.5%, compared to 2.5% in New haven.
Demographics
Demographics Mitchell vs New haven provide insight into the diversity of the communities to compare.
| Demographic | Mitchell | New haven |
|---|---|---|
| Black | 1 | 1 |
| White | 92 | 76 |
| Asian | 4 | Data is updating |
| Hispanic | 1 | 12 |
| Two or More Races | 2 | 11 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Mitchell vs New haven
- The percentage of Black residents is the same in both Mitchell and New haven at 1%.
- Mitchell has a higher percentage of White residents at 92% compared to 76% in New haven.
- The Asian population is larger in Mitchell at 4% compared to 0% in New haven.
- New haven has a higher percentage of Hispanic residents at 12%, compared to 1% in Mitchell.
- The percentage of residents identifying as two or more races is higher in New haven at 11%, compared to 2% in Mitchell.
- The percentage of American Indian residents is the same in both Mitchell and New haven at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Mitchell | New haven |
|---|---|---|
| Mental Health Not Good | 19.4% | 16.7% |
| Physical Health Not Good | 13.7% | 10.8% |
| Depression | 28.5% | 24.7% |
| Smoking | 24.3% | 18.0% |
| Binge Drinking | 15.9% | 20.0% |
| Obesity | 43.5% | 36.6% |
| Disability Percentage | 21.0% | 24.0% |
Health Statistics Comparison: Mitchell vs New haven
- More residents in Mitchell report poor mental health at 19.4% compared to 16.7% in New haven.
- Depression is more prevalent in Mitchell at 28.5% compared to 24.7% in New haven.
- Smoking is more prevalent in Mitchell at 24.3% compared to 18.0% in New haven.
- More residents engage in binge drinking in New haven at 20.0% compared to 15.9% in Mitchell.
- Obesity rates are higher in Mitchell at 43.5% compared to 36.6% in New haven.
- There is a higher percentage of disabled individuals in New haven at 24.0% compared to 21.0% in Mitchell.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Mitchell | New haven |
|---|---|---|
| No Schooling | 1.6% (63) | 0.2% (5) |
| High School Diploma | 20.4% (802) | 19.7% (475) |
| Less than High School | 29.2% (1,152) | 12.2% (293) |
| Bachelor's Degree and Higher | 9.8% (387) | 24.8% (598) |
Education Levels Comparison: Mitchell vs New haven
- A higher percentage of residents in Mitchell have no formal schooling at 1.6% compared to 0.2% in New haven.
- A higher percentage of residents in Mitchell hold a high school diploma at 20.4% compared to 19.7% in New haven.
- More residents in Mitchell have less than a high school education at 29.2% compared to 12.2% in New haven.
- In New haven, a larger share of residents have a bachelor's degree or higher at 24.8% 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.