Demographics details for Keiser, AR vs Albert lea, MN
Population Overview
Compare main population characteristics in Keiser, AR vs Albert lea, MN.
Data | Keiser | Albert lea |
---|---|---|
Population | 713 | 18,396 |
Median Age | 41.6 years | 44.2 years |
Median Income | $50,136 | $56,347 |
Married Families | 35.0% | 35.0% |
Poverty Level | 12% | 10% |
Unemployment Rate | 3.5 | 4.0 |
Population Comparison: Keiser vs Albert lea
- The population in Albert lea is higher at 18,396, compared to 713 in Keiser.
- The median age in Albert lea is higher at 44.2 years, compared to 41.6 years in Keiser.
- Albert lea has a higher median income of $56,347, compared to $50,136 in Keiser.
- The percentage of married families is the same in both Keiser and Albert lea at 35.0%.
- Keiser has a higher poverty level at 12% compared to 10% in Albert lea.
- Albert lea has a higher unemployment rate at 4.0% compared to 3.5% in Keiser.
Demographics
Demographics Keiser vs Albert lea provide insight into the diversity of the communities to compare.
Demographic | Keiser | Albert lea |
---|---|---|
Black | 4 | 2 |
White | 83 | 72 |
Asian | Data is updating | 3 |
Hispanic | 1 | 15 |
Two or More Races | 12 | 8 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Keiser vs Albert lea
- A higher percentage of Black residents are in Keiser at 4% compared to 2% in Albert lea.
- Keiser has a higher percentage of White residents at 83% compared to 72% in Albert lea.
- In Albert lea, the Asian population stands at 3%, greater than 0% in Keiser.
- Albert lea has a higher percentage of Hispanic residents at 15%, compared to 1% in Keiser.
- More residents identify as two or more races in Keiser at 12% compared to 8% in Albert lea.
- The percentage of American Indian residents is the same in both Keiser and Albert lea at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Keiser | Albert lea |
---|---|---|
Mental Health Not Good | 20.3% | 16.6% |
Physical Health Not Good | 14.6% | 11.3% |
Depression | 28.9% | 24.2% |
Smoking | 24.9% | 22.1% |
Binge Drinking | 15.2% | 18.3% |
Obesity | 34.9% | 38.0% |
Disability Percentage | 27.0% | 13.0% |
Health Statistics Comparison: Keiser vs Albert lea
- More residents in Keiser report poor mental health at 20.3% compared to 16.6% in Albert lea.
- Depression is more prevalent in Keiser at 28.9% compared to 24.2% in Albert lea.
- Smoking is more prevalent in Keiser at 24.9% compared to 22.1% in Albert lea.
- More residents engage in binge drinking in Albert lea at 18.3% compared to 15.2% in Keiser.
- Albert lea has higher obesity rates at 38.0% compared to 34.9% in Keiser.
- Disability percentages are higher in Keiser at 27.0% 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 | Keiser | Albert lea |
---|---|---|
No Schooling | 6.2% (44) | 2.0% (370) |
High School Diploma | 15.0% (107) | 19.7% (3,624) |
Less than High School | 55.5% (396) | 20.0% (3,680) |
Bachelor's Degree and Higher | 7.3% (52) | 11.3% (2,086) |
Education Levels Comparison: Keiser vs Albert lea
- A higher percentage of residents in Keiser have no formal schooling at 6.2% compared to 2.0% in Albert lea.
- In Albert lea, the rate of residents with high school diplomas is higher at 19.7% compared to 15.0% in Keiser.
- More residents in Keiser have less than a high school education at 55.5% 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 7.3% in Keiser.
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.