Demographics details for Middle river, MD vs Winger, MN
Population Overview
Compare main population characteristics in Middle river, MD vs Winger, MN.
| Data | Middle river | Winger |
|---|---|---|
| Population | 31,155 | 173 |
| Median Age | 36.7 years | 48.8 years |
| Median Income | $72,970 | $42,500 |
| Married Families | 33.0% | 37.0% |
| Poverty Level | 8% | Data is updating |
| Unemployment Rate | 4.0 | 4.5 |
Population Comparison: Middle river vs Winger
- In Middle river, the population is higher at 31,155, compared to 173 in Winger.
- The median age in Winger is higher at 48.8 years, compared to 36.7 years in Middle river.
- Middle river has a higher median income of $72,970 compared to $42,500 in Winger.
- In Winger, the percentage of married families is higher at 37.0%, compared to 33.0% in Middle river.
- Middle river has a higher poverty level at 8% compared to 0% in Winger.
- Winger has a higher unemployment rate at 4.5% compared to 4.0% in Middle river.
Demographics
Demographics Middle river vs Winger provide insight into the diversity of the communities to compare.
| Demographic | Middle river | Winger |
|---|---|---|
| Black | 29 | Data is updating |
| White | 51 | 88 |
| Asian | 7 | 1 |
| Hispanic | 8 | Data is updating |
| Two or More Races | 5 | 10 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Middle river vs Winger
- A higher percentage of Black residents are in Middle river at 29% compared to 0% in Winger.
- The percentage of White residents is higher in Winger at 88% compared to 51% in Middle river.
- The Asian population is larger in Middle river at 7% compared to 1% in Winger.
- The Hispanic community is larger in Middle river at 8% compared to 0% in Winger.
- The percentage of residents identifying as two or more races is higher in Winger at 10%, compared to 5% in Middle river.
- In Winger, the percentage of American Indian residents is higher at 1%, compared to 0% in Middle river.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Middle river | Winger |
|---|---|---|
| Mental Health Not Good | 17.8% | 15.5% |
| Physical Health Not Good | 11.1% | 9.9% |
| Depression | 24.1% | 24.3% |
| Smoking | 17.2% | 19.8% |
| Binge Drinking | 15.0% | 21.9% |
| Obesity | 38.7% | 39.6% |
| Disability Percentage | 14.0% | 16.0% |
Health Statistics Comparison: Middle river vs Winger
- More residents in Middle river report poor mental health at 17.8% compared to 15.5% in Winger.
- Higher depression rates are seen in Winger at 24.3% versus 24.1% in Middle river.
- Winger has a higher smoking rate at 19.8% compared to 17.2% in Middle river.
- More residents engage in binge drinking in Winger at 21.9% compared to 15.0% in Middle river.
- Winger has higher obesity rates at 39.6% compared to 38.7% in Middle river.
- There is a higher percentage of disabled individuals in Winger at 16.0% compared to 14.0% in Middle river.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Middle river | Winger |
|---|---|---|
| No Schooling | 2.6% (818) | 2.3% (4) |
| High School Diploma | 20.1% (6,254) | 14.5% (25) |
| Less than High School | 14.8% (4,616) | 20.2% (35) |
| Bachelor's Degree and Higher | 19.4% (6,048) | 12.7% (22) |
Education Levels Comparison: Middle river vs Winger
- A higher percentage of residents in Middle river have no formal schooling at 2.6% compared to 2.3% in Winger.
- A higher percentage of residents in Middle river hold a high school diploma at 20.1% compared to 14.5% in Winger.
- The percentage of residents with less than a high school education is higher in Winger at 20.2%, compared to 14.8% in Middle river.
- A higher percentage of residents in Middle river hold a bachelor's degree or higher at 19.4% compared to 12.7% in Winger.
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.