Demographics details for Albert lea, MN vs Parnell, MO
Population Overview
Compare main population characteristics in Albert lea, MN vs Parnell, MO.
| Data | Albert lea | Parnell |
|---|---|---|
| Population | 18,396 | 134 |
| Median Age | 44.2 years | 31.5 years |
| Median Income | $56,347 | $38,393 |
| Married Families | 35.0% | 51.0% |
| Poverty Level | 10% | 10% |
| Unemployment Rate | 4.0 | 3.2 |
Population Comparison: Albert lea vs Parnell
- In Albert lea, the population is higher at 18,396, compared to 134 in Parnell.
- Residents in Albert lea have a higher median age of 44.2 years compared to 31.5 years in Parnell.
- Albert lea has a higher median income of $56,347 compared to $38,393 in Parnell.
- In Parnell, the percentage of married families is higher at 51.0%, compared to 35.0% in Albert lea.
- The poverty level is identical in both Albert lea and Parnell at 10%.
- The unemployment rate in Albert lea is higher at 4.0%, compared to 3.2% in Parnell.
Demographics
Demographics Albert lea vs Parnell provide insight into the diversity of the communities to compare.
| Demographic | Albert lea | Parnell |
|---|---|---|
| Black | 2 | Data is updating |
| White | 72 | 69 |
| Asian | 3 | 1 |
| Hispanic | 15 | 9 |
| Two or More Races | 8 | 21 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Albert lea vs Parnell
- A higher percentage of Black residents are in Albert lea at 2% compared to 0% in Parnell.
- Albert lea has a higher percentage of White residents at 72% compared to 69% in Parnell.
- The Asian population is larger in Albert lea at 3% compared to 1% in Parnell.
- The Hispanic community is larger in Albert lea at 15% compared to 9% in Parnell.
- The percentage of residents identifying as two or more races is higher in Parnell at 21%, compared to 8% in Albert lea.
- The percentage of American Indian residents is the same in both Albert lea and Parnell at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Albert lea | Parnell |
|---|---|---|
| Mental Health Not Good | 16.6% | 18.5% |
| Physical Health Not Good | 11.3% | 13.3% |
| Depression | 24.2% | 24.2% |
| Smoking | 22.1% | 22.0% |
| Binge Drinking | 18.3% | 18.2% |
| Obesity | 38.0% | 39.7% |
| Disability Percentage | 13.0% | 24.0% |
Health Statistics Comparison: Albert lea vs Parnell
- In Parnell, a higher percentage report poor mental health at 18.5% compared to 16.6% in Albert lea.
- Both cities have comparable depression rates at 24.2%.
- Smoking is more prevalent in Albert lea at 22.1% compared to 22.0% in Parnell.
- Binge drinking is more common in Albert lea at 18.3% compared to 18.2% in Parnell.
- Parnell has higher obesity rates at 39.7% compared to 38.0% in Albert lea.
- There is a higher percentage of disabled individuals in Parnell at 24.0% 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 | Parnell |
|---|---|---|
| No Schooling | 2.0% (370) | 0.0% (Data is updating) |
| High School Diploma | 19.7% (3,624) | 46.3% (62) |
| Less than High School | 20.0% (3,680) | 7.5% (10) |
| Bachelor's Degree and Higher | 11.3% (2,086) | 11.2% (15) |
Education Levels Comparison: Albert lea vs Parnell
- A higher percentage of residents in Albert lea have no formal schooling at 2.0% compared to 0.0% in Parnell.
- In Parnell, the rate of residents with high school diplomas is higher at 46.3% compared to 19.7% in Albert lea.
- More residents in Albert lea have less than a high school education at 20.0% compared to 7.5% in Parnell.
- A higher percentage of residents in Albert lea hold a bachelor's degree or higher at 11.3% compared to 11.2% in Parnell.
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.