Demographics details for Monett, MO vs Albert lea, MN
Population Overview
Compare main population characteristics in Monett, MO vs Albert lea, MN.
| Data | Monett | Albert lea |
|---|---|---|
| Population | 9,789 | 18,396 |
| Median Age | 34.7 years | 44.2 years |
| Median Income | $42,635 | $56,347 |
| Married Families | 33.0% | 35.0% |
| Poverty Level | 15% | 10% |
| Unemployment Rate | 3.8 | 4.0 |
Population Comparison: Monett vs Albert lea
- The population in Albert lea is higher at 18,396, compared to 9,789 in Monett.
- The median age in Albert lea is higher at 44.2 years, compared to 34.7 years in Monett.
- Albert lea has a higher median income of $56,347, compared to $42,635 in Monett.
- In Albert lea, the percentage of married families is higher at 35.0%, compared to 33.0% in Monett.
- Monett has a higher poverty level at 15% compared to 10% in Albert lea.
- Albert lea has a higher unemployment rate at 4.0% compared to 3.8% in Monett.
Demographics
Demographics Monett vs Albert lea provide insight into the diversity of the communities to compare.
| Demographic | Monett | Albert lea |
|---|---|---|
| Black | Data is updating | 2 |
| White | 51 | 72 |
| Asian | 2 | 3 |
| Hispanic | 29 | 15 |
| Two or More Races | 15 | 8 |
| American Indian | 3 | Data is updating |
Demographics Comparison: Monett vs Albert lea
- In Albert lea, the percentage of Black residents is higher at 2% compared to 0% in Monett.
- The percentage of White residents is higher in Albert lea at 72% compared to 51% in Monett.
- In Albert lea, the Asian population stands at 3%, greater than 2% in Monett.
- The Hispanic community is larger in Monett at 29% compared to 15% in Albert lea.
- More residents identify as two or more races in Monett at 15% compared to 8% in Albert lea.
- A greater percentage of American Indian residents live in Monett at 3% compared to 0% in Albert lea.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Monett | Albert lea |
|---|---|---|
| Mental Health Not Good | 18.9% | 16.6% |
| Physical Health Not Good | 14.4% | 11.3% |
| Depression | 25.3% | 24.2% |
| Smoking | 22.8% | 22.1% |
| Binge Drinking | 16.5% | 18.3% |
| Obesity | 41.0% | 38.0% |
| Disability Percentage | 13.0% | 13.0% |
Health Statistics Comparison: Monett vs Albert lea
- More residents in Monett report poor mental health at 18.9% compared to 16.6% in Albert lea.
- Depression is more prevalent in Monett at 25.3% compared to 24.2% in Albert lea.
- Smoking is more prevalent in Monett at 22.8% compared to 22.1% in Albert lea.
- More residents engage in binge drinking in Albert lea at 18.3% compared to 16.5% in Monett.
- Obesity rates are higher in Monett at 41.0% compared to 38.0% in Albert lea.
- Disability percentages are the same in both Monett and Albert lea at 13.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Monett | Albert lea |
|---|---|---|
| No Schooling | 1.0% (97) | 2.0% (370) |
| High School Diploma | 20.5% (2,003) | 19.7% (3,624) |
| Less than High School | 20.0% (1,953) | 20.0% (3,680) |
| Bachelor's Degree and Higher | 8.4% (822) | 11.3% (2,086) |
Education Levels Comparison: Monett vs Albert lea
- In Albert lea, a larger percentage of residents lack formal schooling at 2.0% compared to 1.0% in Monett.
- A higher percentage of residents in Monett hold a high school diploma at 20.5% compared to 19.7% in Albert lea.
- Both cities report the same percentage of residents with less than a high school education at 20.0%.
- In Albert lea, a larger share of residents have a bachelor's degree or higher at 11.3% compared to 8.4% in Monett.
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.