Demographics details for Mitchell, IN vs Albert lea, MN
Population Overview
Compare main population characteristics in Mitchell, IN vs Albert lea, MN.
| Data | Mitchell | Albert lea |
|---|---|---|
| Population | 3,940 | 18,396 |
| Median Age | 35.5 years | 44.2 years |
| Median Income | $51,025 | $56,347 |
| Married Families | 32.0% | 35.0% |
| Poverty Level | 10% | 10% |
| Unemployment Rate | 3.5 | 4.0 |
Population Comparison: Mitchell vs Albert lea
- The population in Albert lea is higher at 18,396, compared to 3,940 in Mitchell.
- The median age in Albert lea is higher at 44.2 years, compared to 35.5 years in Mitchell.
- Albert lea has a higher median income of $56,347, compared to $51,025 in Mitchell.
- In Albert lea, the percentage of married families is higher at 35.0%, compared to 32.0% in Mitchell.
- The poverty level is identical in both Mitchell and Albert lea at 10%.
- Albert lea has a higher unemployment rate at 4.0% compared to 3.5% in Mitchell.
Demographics
Demographics Mitchell vs Albert lea provide insight into the diversity of the communities to compare.
| Demographic | Mitchell | Albert lea |
|---|---|---|
| Black | 1 | 2 |
| White | 92 | 72 |
| Asian | 4 | 3 |
| Hispanic | 1 | 15 |
| Two or More Races | 2 | 8 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Mitchell vs Albert lea
- In Albert lea, the percentage of Black residents is higher at 2% compared to 1% in Mitchell.
- Mitchell has a higher percentage of White residents at 92% compared to 72% in Albert lea.
- The Asian population is larger in Mitchell at 4% compared to 3% in Albert lea.
- Albert lea has a higher percentage of Hispanic residents at 15%, compared to 1% in Mitchell.
- The percentage of residents identifying as two or more races is higher in Albert lea at 8%, compared to 2% in Mitchell.
- The percentage of American Indian residents is the same in both Mitchell and Albert lea at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Mitchell | Albert lea |
|---|---|---|
| Mental Health Not Good | 19.4% | 16.6% |
| Physical Health Not Good | 13.7% | 11.3% |
| Depression | 28.5% | 24.2% |
| Smoking | 24.3% | 22.1% |
| Binge Drinking | 15.9% | 18.3% |
| Obesity | 43.5% | 38.0% |
| Disability Percentage | 21.0% | 13.0% |
Health Statistics Comparison: Mitchell vs Albert lea
- More residents in Mitchell report poor mental health at 19.4% compared to 16.6% in Albert lea.
- Depression is more prevalent in Mitchell at 28.5% compared to 24.2% in Albert lea.
- Smoking is more prevalent in Mitchell at 24.3% compared to 22.1% in Albert lea.
- More residents engage in binge drinking in Albert lea at 18.3% compared to 15.9% in Mitchell.
- Obesity rates are higher in Mitchell at 43.5% compared to 38.0% in Albert lea.
- Disability percentages are higher in Mitchell at 21.0% compared to 13.0% in Albert lea.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Mitchell | Albert lea |
|---|---|---|
| No Schooling | 1.6% (63) | 2.0% (370) |
| High School Diploma | 20.4% (802) | 19.7% (3,624) |
| Less than High School | 29.2% (1,152) | 20.0% (3,680) |
| Bachelor's Degree and Higher | 9.8% (387) | 11.3% (2,086) |
Education Levels Comparison: Mitchell vs Albert lea
- In Albert lea, a larger percentage of residents lack formal schooling at 2.0% compared to 1.6% in Mitchell.
- A higher percentage of residents in Mitchell hold a high school diploma at 20.4% compared to 19.7% in Albert lea.
- More residents in Mitchell have less than a high school education at 29.2% compared to 20.0% in Albert lea.
- In Albert lea, a larger share of residents have a bachelor's degree or higher at 11.3% 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.