Demographics details for Poplar bluff, MO vs Winger, MN
Population Overview
Compare main population characteristics in Poplar bluff, MO vs Winger, MN.
| Data | Poplar bluff | Winger |
|---|---|---|
| Population | 16,232 | 173 |
| Median Age | 36.0 years | 48.8 years |
| Median Income | $37,448 | $42,500 |
| Married Families | 29.0% | 37.0% |
| Poverty Level | 15% | Data is updating |
| Unemployment Rate | 4.5 | 4.5 |
Population Comparison: Poplar bluff vs Winger
- In Poplar bluff, the population is higher at 16,232, compared to 173 in Winger.
- The median age in Winger is higher at 48.8 years, compared to 36.0 years in Poplar bluff.
- Winger has a higher median income of $42,500, compared to $37,448 in Poplar bluff.
- In Winger, the percentage of married families is higher at 37.0%, compared to 29.0% in Poplar bluff.
- Poplar bluff has a higher poverty level at 15% compared to 0% in Winger.
- The unemployment rate is the same in both Poplar bluff and Winger at 4.5%.
Demographics
Demographics Poplar bluff vs Winger provide insight into the diversity of the communities to compare.
| Demographic | Poplar bluff | Winger |
|---|---|---|
| Black | 10 | Data is updating |
| White | 79 | 88 |
| Asian | Data is updating | 1 |
| Hispanic | 2 | Data is updating |
| Two or More Races | 8 | 10 |
| American Indian | 1 | 1 |
Demographics Comparison: Poplar bluff vs Winger
- A higher percentage of Black residents are in Poplar bluff at 10% compared to 0% in Winger.
- The percentage of White residents is higher in Winger at 88% compared to 79% in Poplar bluff.
- In Winger, the Asian population stands at 1%, greater than 0% in Poplar bluff.
- The Hispanic community is larger in Poplar bluff at 2% compared to 0% in Winger.
- The percentage of residents identifying as two or more races is higher in Winger at 10%, compared to 8% in Poplar bluff.
- The percentage of American Indian residents is the same in both Poplar bluff and Winger at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Poplar bluff | Winger |
|---|---|---|
| Mental Health Not Good | 22.8% | 15.5% |
| Physical Health Not Good | 17.8% | 9.9% |
| Depression | 27.7% | 24.3% |
| Smoking | 31.5% | 19.8% |
| Binge Drinking | 15.3% | 21.9% |
| Obesity | 45.2% | 39.6% |
| Disability Percentage | 26.0% | 16.0% |
Health Statistics Comparison: Poplar bluff vs Winger
- More residents in Poplar bluff report poor mental health at 22.8% compared to 15.5% in Winger.
- Depression is more prevalent in Poplar bluff at 27.7% compared to 24.3% in Winger.
- Smoking is more prevalent in Poplar bluff at 31.5% compared to 19.8% in Winger.
- More residents engage in binge drinking in Winger at 21.9% compared to 15.3% in Poplar bluff.
- Obesity rates are higher in Poplar bluff at 45.2% compared to 39.6% in Winger.
- Disability percentages are higher in Poplar bluff at 26.0% compared to 16.0% in Winger.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Poplar bluff | Winger |
|---|---|---|
| No Schooling | 0.7% (118) | 2.3% (4) |
| High School Diploma | 23.2% (3,763) | 14.5% (25) |
| Less than High School | 21.1% (3,419) | 20.2% (35) |
| Bachelor's Degree and Higher | 8.8% (1,422) | 12.7% (22) |
Education Levels Comparison: Poplar bluff vs Winger
- In Winger, a larger percentage of residents lack formal schooling at 2.3% compared to 0.7% in Poplar bluff.
- A higher percentage of residents in Poplar bluff hold a high school diploma at 23.2% compared to 14.5% in Winger.
- More residents in Poplar bluff have less than a high school education at 21.1% compared to 20.2% in Winger.
- In Winger, a larger share of residents have a bachelor's degree or higher at 12.7% compared to 8.8% in Poplar bluff.
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.