Demographics details for Lancaster, CA vs Albert lea, MN
Population Overview
Compare main population characteristics in Lancaster, CA vs Albert lea, MN.
| Data | Lancaster | Albert lea |
|---|---|---|
| Population | 169,185 | 18,396 |
| Median Age | 33.6 years | 44.2 years |
| Median Income | $71,367 | $56,347 |
| Married Families | 32.0% | 35.0% |
| Poverty Level | 15% | 10% |
| Unemployment Rate | 8.2 | 4.0 |
Population Comparison: Lancaster vs Albert lea
- In Lancaster, the population is higher at 169,185, compared to 18,396 in Albert lea.
- The median age in Albert lea is higher at 44.2 years, compared to 33.6 years in Lancaster.
- Lancaster has a higher median income of $71,367 compared to $56,347 in Albert lea.
- In Albert lea, the percentage of married families is higher at 35.0%, compared to 32.0% in Lancaster.
- Lancaster has a higher poverty level at 15% compared to 10% in Albert lea.
- The unemployment rate in Lancaster is higher at 8.2%, compared to 4.0% in Albert lea.
Demographics
Demographics Lancaster vs Albert lea provide insight into the diversity of the communities to compare.
| Demographic | Lancaster | Albert lea |
|---|---|---|
| Black | 21 | 2 |
| White | 10 | 72 |
| Asian | 4 | 3 |
| Hispanic | 46 | 15 |
| Two or More Races | 18 | 8 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Lancaster vs Albert lea
- A higher percentage of Black residents are in Lancaster at 21% compared to 2% in Albert lea.
- The percentage of White residents is higher in Albert lea at 72% compared to 10% in Lancaster.
- The Asian population is larger in Lancaster at 4% compared to 3% in Albert lea.
- The Hispanic community is larger in Lancaster at 46% compared to 15% in Albert lea.
- More residents identify as two or more races in Lancaster at 18% compared to 8% in Albert lea.
- A greater percentage of American Indian residents live in Lancaster at 1% compared to 0% in Albert lea.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Lancaster | Albert lea |
|---|---|---|
| Mental Health Not Good | 17.8% | 16.6% |
| Physical Health Not Good | 13.5% | 11.3% |
| Depression | 17.7% | 24.2% |
| Smoking | 14.8% | 22.1% |
| Binge Drinking | 15.1% | 18.3% |
| Obesity | 32.9% | 38.0% |
| Disability Percentage | 10.0% | 13.0% |
Health Statistics Comparison: Lancaster vs Albert lea
- More residents in Lancaster report poor mental health at 17.8% compared to 16.6% in Albert lea.
- Higher depression rates are seen in Albert lea at 24.2% versus 17.7% in Lancaster.
- Albert lea has a higher smoking rate at 22.1% compared to 14.8% in Lancaster.
- More residents engage in binge drinking in Albert lea at 18.3% compared to 15.1% in Lancaster.
- Albert lea has higher obesity rates at 38.0% compared to 32.9% in Lancaster.
- There is a higher percentage of disabled individuals in Albert lea at 13.0% compared to 10.0% in Lancaster.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Lancaster | Albert lea |
|---|---|---|
| No Schooling | 2.0% (3,403) | 2.0% (370) |
| High School Diploma | 17.5% (29,555) | 19.7% (3,624) |
| Less than High School | 21.5% (36,421) | 20.0% (3,680) |
| Bachelor's Degree and Higher | 12.3% (20,861) | 11.3% (2,086) |
Education Levels Comparison: Lancaster vs Albert lea
- The percentage of residents with no formal schooling is the same in both Lancaster and Albert lea at 2.0%.
- In Albert lea, the rate of residents with high school diplomas is higher at 19.7% compared to 17.5% in Lancaster.
- More residents in Lancaster have less than a high school education at 21.5% compared to 20.0% in Albert lea.
- A higher percentage of residents in Lancaster hold a bachelor's degree or higher at 12.3% 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.