Demographics details for Aurora, CO vs Albert lea, MN
Population Overview
Compare main population characteristics in Aurora, CO vs Albert lea, MN.
Data | Aurora | Albert lea |
---|---|---|
Population | 393,537 | 18,396 |
Median Age | 35.1 years | 44.2 years |
Median Income | $78,685 | $56,347 |
Married Families | 36.0% | 35.0% |
Poverty Level | 11% | 10% |
Unemployment Rate | 4.2 | 4.0 |
Population Comparison: Aurora vs Albert lea
- In Aurora, the population is higher at 393,537, compared to 18,396 in Albert lea.
- The median age in Albert lea is higher at 44.2 years, compared to 35.1 years in Aurora.
- Aurora has a higher median income of $78,685 compared to $56,347 in Albert lea.
- A higher percentage of married families is found in Aurora at 36.0% compared to 35.0% in Albert lea.
- Aurora has a higher poverty level at 11% compared to 10% in Albert lea.
- The unemployment rate in Aurora is higher at 4.2%, compared to 4.0% in Albert lea.
Demographics
Demographics Aurora vs Albert lea provide insight into the diversity of the communities to compare.
Demographic | Aurora | Albert lea |
---|---|---|
Black | 16 | 2 |
White | 35 | 72 |
Asian | 6 | 3 |
Hispanic | 29 | 15 |
Two or More Races | 13 | 8 |
American Indian | 1 | Data is updating |
Demographics Comparison: Aurora vs Albert lea
- A higher percentage of Black residents are in Aurora at 16% compared to 2% in Albert lea.
- The percentage of White residents is higher in Albert lea at 72% compared to 35% in Aurora.
- The Asian population is larger in Aurora at 6% compared to 3% in Albert lea.
- The Hispanic community is larger in Aurora at 29% compared to 15% in Albert lea.
- More residents identify as two or more races in Aurora at 13% compared to 8% in Albert lea.
- A greater percentage of American Indian residents live in Aurora at 1% compared to 0% in Albert lea.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Aurora | Albert lea |
---|---|---|
Mental Health Not Good | 15.6% | 16.6% |
Physical Health Not Good | 10.8% | 11.3% |
Depression | 20.4% | 24.2% |
Smoking | 15.8% | 22.1% |
Binge Drinking | 17.7% | 18.3% |
Obesity | 28.2% | 38.0% |
Disability Percentage | 10.0% | 13.0% |
Health Statistics Comparison: Aurora vs Albert lea
- In Albert lea, a higher percentage report poor mental health at 16.6% compared to 15.6% in Aurora.
- Higher depression rates are seen in Albert lea at 24.2% versus 20.4% in Aurora.
- Albert lea has a higher smoking rate at 22.1% compared to 15.8% in Aurora.
- More residents engage in binge drinking in Albert lea at 18.3% compared to 17.7% in Aurora.
- Albert lea has higher obesity rates at 38.0% compared to 28.2% in Aurora.
- There is a higher percentage of disabled individuals in Albert lea at 13.0% compared to 10.0% in Aurora.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Aurora | Albert lea |
---|---|---|
No Schooling | 1.8% (7,109) | 2.0% (370) |
High School Diploma | 13.0% (51,046) | 19.7% (3,624) |
Less than High School | 14.8% (58,325) | 20.0% (3,680) |
Bachelor's Degree and Higher | 20.8% (81,674) | 11.3% (2,086) |
Education Levels Comparison: Aurora vs Albert lea
- In Albert lea, a larger percentage of residents lack formal schooling at 2.0% compared to 1.8% in Aurora.
- In Albert lea, the rate of residents with high school diplomas is higher at 19.7% compared to 13.0% in Aurora.
- The percentage of residents with less than a high school education is higher in Albert lea at 20.0%, compared to 14.8% in Aurora.
- A higher percentage of residents in Aurora hold a bachelor's degree or higher at 20.8% 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.