Demographics details for Albert lea, MN vs Rochelle, IL
Population Overview
Compare main population characteristics in Albert lea, MN vs Rochelle, IL.
Data | Albert lea | Rochelle |
---|---|---|
Population | 18,396 | 9,343 |
Median Age | 44.2 years | 37.9 years |
Median Income | $56,347 | $55,974 |
Married Families | 35.0% | 29.0% |
Poverty Level | 10% | 10% |
Unemployment Rate | 4.0 | 4.5 |
Population Comparison: Albert lea vs Rochelle
- In Albert lea, the population is higher at 18,396, compared to 9,343 in Rochelle.
- Residents in Albert lea have a higher median age of 44.2 years compared to 37.9 years in Rochelle.
- Albert lea has a higher median income of $56,347 compared to $55,974 in Rochelle.
- A higher percentage of married families is found in Albert lea at 35.0% compared to 29.0% in Rochelle.
- The poverty level is identical in both Albert lea and Rochelle at 10%.
- Rochelle has a higher unemployment rate at 4.5% compared to 4.0% in Albert lea.
Demographics
Demographics Albert lea vs Rochelle provide insight into the diversity of the communities to compare.
Demographic | Albert lea | Rochelle |
---|---|---|
Black | 2 | 3 |
White | 72 | 59 |
Asian | 3 | Data is updating |
Hispanic | 15 | 24 |
Two or More Races | 8 | 13 |
American Indian | Data is updating | 1 |
Demographics Comparison: Albert lea vs Rochelle
- In Rochelle, the percentage of Black residents is higher at 3% compared to 2% in Albert lea.
- Albert lea has a higher percentage of White residents at 72% compared to 59% in Rochelle.
- The Asian population is larger in Albert lea at 3% compared to 0% in Rochelle.
- Rochelle has a higher percentage of Hispanic residents at 24%, compared to 15% in Albert lea.
- The percentage of residents identifying as two or more races is higher in Rochelle at 13%, compared to 8% in Albert lea.
- In Rochelle, the percentage of American Indian residents is higher at 1%, compared to 0% in Albert lea.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Albert lea | Rochelle |
---|---|---|
Mental Health Not Good | 16.6% | 16.5% |
Physical Health Not Good | 11.3% | 11.8% |
Depression | 24.2% | 21.0% |
Smoking | 22.1% | 17.7% |
Binge Drinking | 18.3% | 17.6% |
Obesity | 38.0% | 35.9% |
Disability Percentage | 13.0% | 18.0% |
Health Statistics Comparison: Albert lea vs Rochelle
- More residents in Albert lea report poor mental health at 16.6% compared to 16.5% in Rochelle.
- Depression is more prevalent in Albert lea at 24.2% compared to 21.0% in Rochelle.
- Smoking is more prevalent in Albert lea at 22.1% compared to 17.7% in Rochelle.
- Binge drinking is more common in Albert lea at 18.3% compared to 17.6% in Rochelle.
- Obesity rates are higher in Albert lea at 38.0% compared to 35.9% in Rochelle.
- There is a higher percentage of disabled individuals in Rochelle at 18.0% 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 | Albert lea | Rochelle |
---|---|---|
No Schooling | 2.0% (370) | 1.0% (95) |
High School Diploma | 19.7% (3,624) | 15.4% (1,436) |
Less than High School | 20.0% (3,680) | 17.2% (1,607) |
Bachelor's Degree and Higher | 11.3% (2,086) | 13.9% (1,300) |
Education Levels Comparison: Albert lea vs Rochelle
- A higher percentage of residents in Albert lea have no formal schooling at 2.0% compared to 1.0% in Rochelle.
- A higher percentage of residents in Albert lea hold a high school diploma at 19.7% compared to 15.4% in Rochelle.
- More residents in Albert lea have less than a high school education at 20.0% compared to 17.2% in Rochelle.
- In Rochelle, a larger share of residents have a bachelor's degree or higher at 13.9% compared to 11.3% in Albert lea.
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.