Demographics details for Aberdeen, MS vs Bigfork, MN
Population Overview
Compare main population characteristics in Aberdeen, MS vs Bigfork, MN.
| Data | Aberdeen | Bigfork |
|---|---|---|
| Population | 4,848 | 403 |
| Median Age | 41.5 years | 66.3 years |
| Median Income | $46,788 | $33,750 |
| Married Families | 30.0% | 31.0% |
| Poverty Level | 22% | 9% |
| Unemployment Rate | 4.4 | 3.5 |
Population Comparison: Aberdeen vs Bigfork
- In Aberdeen, the population is higher at 4,848, compared to 403 in Bigfork.
- The median age in Bigfork is higher at 66.3 years, compared to 41.5 years in Aberdeen.
- Aberdeen has a higher median income of $46,788 compared to $33,750 in Bigfork.
- In Bigfork, the percentage of married families is higher at 31.0%, compared to 30.0% in Aberdeen.
- Aberdeen has a higher poverty level at 22% compared to 9% in Bigfork.
- The unemployment rate in Aberdeen is higher at 4.4%, compared to 3.5% in Bigfork.
Demographics
Demographics Aberdeen vs Bigfork provide insight into the diversity of the communities to compare.
| Demographic | Aberdeen | Bigfork |
|---|---|---|
| Black | 76 | 1 |
| White | 24 | 93 |
| Asian | Data is updating | Data is updating |
| Hispanic | Data is updating | 2 |
| Two or More Races | Data is updating | 1 |
| American Indian | Data is updating | 3 |
Demographics Comparison: Aberdeen vs Bigfork
- A higher percentage of Black residents are in Aberdeen at 76% compared to 1% in Bigfork.
- The percentage of White residents is higher in Bigfork at 93% compared to 24% in Aberdeen.
- Both Aberdeen and Bigfork have the same percentage of Asian residents at 0%.
- Bigfork has a higher percentage of Hispanic residents at 2%, compared to 0% in Aberdeen.
- The percentage of residents identifying as two or more races is higher in Bigfork at 1%, compared to 0% in Aberdeen.
- In Bigfork, the percentage of American Indian residents is higher at 3%, compared to 0% in Aberdeen.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Aberdeen | Bigfork |
|---|---|---|
| Mental Health Not Good | 18.4% | 16.0% |
| Physical Health Not Good | 14.4% | 10.4% |
| Depression | 20.7% | 24.3% |
| Smoking | 23.1% | 21.9% |
| Binge Drinking | 11.8% | 18.4% |
| Obesity | 44.0% | 41.6% |
| Disability Percentage | 14.0% | 23.0% |
Health Statistics Comparison: Aberdeen vs Bigfork
- More residents in Aberdeen report poor mental health at 18.4% compared to 16.0% in Bigfork.
- Higher depression rates are seen in Bigfork at 24.3% versus 20.7% in Aberdeen.
- Smoking is more prevalent in Aberdeen at 23.1% compared to 21.9% in Bigfork.
- More residents engage in binge drinking in Bigfork at 18.4% compared to 11.8% in Aberdeen.
- Obesity rates are higher in Aberdeen at 44.0% compared to 41.6% in Bigfork.
- There is a higher percentage of disabled individuals in Bigfork at 23.0% compared to 14.0% in Aberdeen.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Aberdeen | Bigfork |
|---|---|---|
| No Schooling | 0.3% (16) | 0.0% (Data is updating) |
| High School Diploma | 27.7% (1,341) | 26.6% (107) |
| Less than High School | 17.0% (822) | 9.7% (39) |
| Bachelor's Degree and Higher | 8.7% (424) | 8.2% (33) |
Education Levels Comparison: Aberdeen vs Bigfork
- A higher percentage of residents in Aberdeen have no formal schooling at 0.3% compared to 0.0% in Bigfork.
- A higher percentage of residents in Aberdeen hold a high school diploma at 27.7% compared to 26.6% in Bigfork.
- More residents in Aberdeen have less than a high school education at 17.0% compared to 9.7% in Bigfork.
- A higher percentage of residents in Aberdeen hold a bachelor's degree or higher at 8.7% compared to 8.2% in Bigfork.
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.