Demographics details for Mitchell, IN vs Darwin, MN
Population Overview
Compare main population characteristics in Mitchell, IN vs Darwin, MN.
| Data | Mitchell | Darwin |
|---|---|---|
| Population | 3,940 | 344 |
| Median Age | 35.5 years | 34.8 years |
| Median Income | $51,025 | $62,083 |
| Married Families | 32.0% | 37.0% |
| Poverty Level | 10% | 5% |
| Unemployment Rate | 3.5 | 3.2 |
Population Comparison: Mitchell vs Darwin
- In Mitchell, the population is higher at 3,940, compared to 344 in Darwin.
- Residents in Mitchell have a higher median age of 35.5 years compared to 34.8 years in Darwin.
- Darwin has a higher median income of $62,083, compared to $51,025 in Mitchell.
- In Darwin, the percentage of married families is higher at 37.0%, compared to 32.0% in Mitchell.
- Mitchell has a higher poverty level at 10% compared to 5% in Darwin.
- The unemployment rate in Mitchell is higher at 3.5%, compared to 3.2% in Darwin.
Demographics
Demographics Mitchell vs Darwin provide insight into the diversity of the communities to compare.
| Demographic | Mitchell | Darwin |
|---|---|---|
| Black | 1 | Data is updating |
| White | 92 | 90 |
| Asian | 4 | Data is updating |
| Hispanic | 1 | 9 |
| Two or More Races | 2 | 1 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Mitchell vs Darwin
- A higher percentage of Black residents are in Mitchell at 1% compared to 0% in Darwin.
- Mitchell has a higher percentage of White residents at 92% compared to 90% in Darwin.
- The Asian population is larger in Mitchell at 4% compared to 0% in Darwin.
- Darwin has a higher percentage of Hispanic residents at 9%, compared to 1% in Mitchell.
- More residents identify as two or more races in Mitchell at 2% compared to 1% in Darwin.
- The percentage of American Indian residents is the same in both Mitchell and Darwin at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Mitchell | Darwin |
|---|---|---|
| Mental Health Not Good | 19.4% | 14.7% |
| Physical Health Not Good | 13.7% | 8.8% |
| Depression | 28.5% | 23.2% |
| Smoking | 24.3% | 17.5% |
| Binge Drinking | 15.9% | 22.3% |
| Obesity | 43.5% | 32.7% |
| Disability Percentage | 21.0% | 19.0% |
Health Statistics Comparison: Mitchell vs Darwin
- More residents in Mitchell report poor mental health at 19.4% compared to 14.7% in Darwin.
- Depression is more prevalent in Mitchell at 28.5% compared to 23.2% in Darwin.
- Smoking is more prevalent in Mitchell at 24.3% compared to 17.5% in Darwin.
- More residents engage in binge drinking in Darwin at 22.3% compared to 15.9% in Mitchell.
- Obesity rates are higher in Mitchell at 43.5% compared to 32.7% in Darwin.
- Disability percentages are higher in Mitchell at 21.0% compared to 19.0% in Darwin.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Mitchell | Darwin |
|---|---|---|
| No Schooling | 1.6% (63) | 1.7% (6) |
| High School Diploma | 20.4% (802) | 20.9% (72) |
| Less than High School | 29.2% (1,152) | 9.3% (32) |
| Bachelor's Degree and Higher | 9.8% (387) | 11.9% (41) |
Education Levels Comparison: Mitchell vs Darwin
- In Darwin, a larger percentage of residents lack formal schooling at 1.7% compared to 1.6% in Mitchell.
- In Darwin, the rate of residents with high school diplomas is higher at 20.9% compared to 20.4% in Mitchell.
- More residents in Mitchell have less than a high school education at 29.2% compared to 9.3% in Darwin.
- In Darwin, a larger share of residents have a bachelor's degree or higher at 11.9% 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.