Demographics details for Greenwood, IN vs Winger, MN
Population Overview
Compare main population characteristics in Greenwood, IN vs Winger, MN.
| Data | Greenwood | Winger |
|---|---|---|
| Population | 65,406 | 173 |
| Median Age | 36.2 years | 48.8 years |
| Median Income | $75,398 | $42,500 |
| Married Families | 40.0% | 37.0% |
| Poverty Level | 7% | Data is updating |
| Unemployment Rate | 3.8 | 4.5 |
Population Comparison: Greenwood vs Winger
- In Greenwood, the population is higher at 65,406, compared to 173 in Winger.
- The median age in Winger is higher at 48.8 years, compared to 36.2 years in Greenwood.
- Greenwood has a higher median income of $75,398 compared to $42,500 in Winger.
- A higher percentage of married families is found in Greenwood at 40.0% compared to 37.0% in Winger.
- Greenwood has a higher poverty level at 7% compared to 0% in Winger.
- Winger has a higher unemployment rate at 4.5% compared to 3.8% in Greenwood.
Demographics
Demographics Greenwood vs Winger provide insight into the diversity of the communities to compare.
| Demographic | Greenwood | Winger |
|---|---|---|
| Black | 4 | Data is updating |
| White | 76 | 88 |
| Asian | 7 | 1 |
| Hispanic | 7 | Data is updating |
| Two or More Races | 6 | 10 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Greenwood vs Winger
- A higher percentage of Black residents are in Greenwood at 4% compared to 0% in Winger.
- The percentage of White residents is higher in Winger at 88% compared to 76% in Greenwood.
- The Asian population is larger in Greenwood at 7% compared to 1% in Winger.
- The Hispanic community is larger in Greenwood at 7% compared to 0% in Winger.
- The percentage of residents identifying as two or more races is higher in Winger at 10%, compared to 6% in Greenwood.
- In Winger, the percentage of American Indian residents is higher at 1%, compared to 0% in Greenwood.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Greenwood | Winger |
|---|---|---|
| Mental Health Not Good | 16.5% | 15.5% |
| Physical Health Not Good | 10.4% | 9.9% |
| Depression | 27.4% | 24.3% |
| Smoking | 17.2% | 19.8% |
| Binge Drinking | 16.9% | 21.9% |
| Obesity | 40.0% | 39.6% |
| Disability Percentage | 9.0% | 16.0% |
Health Statistics Comparison: Greenwood vs Winger
- More residents in Greenwood report poor mental health at 16.5% compared to 15.5% in Winger.
- Depression is more prevalent in Greenwood at 27.4% compared to 24.3% in Winger.
- Winger has a higher smoking rate at 19.8% compared to 17.2% in Greenwood.
- More residents engage in binge drinking in Winger at 21.9% compared to 16.9% in Greenwood.
- Obesity rates are higher in Greenwood at 40.0% compared to 39.6% in Winger.
- There is a higher percentage of disabled individuals in Winger at 16.0% compared to 9.0% in Greenwood.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Greenwood | Winger |
|---|---|---|
| No Schooling | 1.5% (1,000) | 2.3% (4) |
| High School Diploma | 17.0% (11,136) | 14.5% (25) |
| Less than High School | 10.7% (6,995) | 20.2% (35) |
| Bachelor's Degree and Higher | 20.0% (13,060) | 12.7% (22) |
Education Levels Comparison: Greenwood vs Winger
- In Winger, a larger percentage of residents lack formal schooling at 2.3% compared to 1.5% in Greenwood.
- A higher percentage of residents in Greenwood hold a high school diploma at 17.0% 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 10.7% in Greenwood.
- A higher percentage of residents in Greenwood hold a bachelor's degree or higher at 20.0% 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.