Demographics details for Winger, MN vs Indianapolis, IN
Population Overview
Compare main population characteristics in Winger, MN vs Indianapolis, IN.
| Data | Winger | Indianapolis |
|---|---|---|
| Population | 173 | 880,621 |
| Median Age | 48.8 years | 34.3 years |
| Median Income | $42,500 | $59,110 |
| Married Families | 37.0% | 31.0% |
| Poverty Level | Data is updating | 15% |
| Unemployment Rate | 4.5 | 4.4 |
Population Comparison: Winger vs Indianapolis
- The population in Indianapolis is higher at 880,621, compared to 173 in Winger.
- Residents in Winger have a higher median age of 48.8 years compared to 34.3 years in Indianapolis.
- Indianapolis has a higher median income of $59,110, compared to $42,500 in Winger.
- A higher percentage of married families is found in Winger at 37.0% compared to 31.0% in Indianapolis.
- The poverty level is higher in Indianapolis at 15%, compared to 0% in Winger.
- The unemployment rate in Winger is higher at 4.5%, compared to 4.4% in Indianapolis.
Demographics
Demographics Winger vs Indianapolis provide insight into the diversity of the communities to compare.
| Demographic | Winger | Indianapolis |
|---|---|---|
| Black | Data is updating | 29 |
| White | 88 | 50 |
| Asian | 1 | 4 |
| Hispanic | Data is updating | 11 |
| Two or More Races | 10 | 6 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Winger vs Indianapolis
- In Indianapolis, the percentage of Black residents is higher at 29% compared to 0% in Winger.
- Winger has a higher percentage of White residents at 88% compared to 50% in Indianapolis.
- In Indianapolis, the Asian population stands at 4%, greater than 1% in Winger.
- Indianapolis has a higher percentage of Hispanic residents at 11%, compared to 0% in Winger.
- More residents identify as two or more races in Winger at 10% compared to 6% in Indianapolis.
- A greater percentage of American Indian residents live in Winger at 1% compared to 0% in Indianapolis.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Winger | Indianapolis |
|---|---|---|
| Mental Health Not Good | 15.5% | 17.3% |
| Physical Health Not Good | 9.9% | 12.1% |
| Depression | 24.3% | 25.3% |
| Smoking | 19.8% | 20.7% |
| Binge Drinking | 21.9% | 16.7% |
| Obesity | 39.6% | 37.4% |
| Disability Percentage | 16.0% | 13.0% |
Health Statistics Comparison: Winger vs Indianapolis
- In Indianapolis, a higher percentage report poor mental health at 17.3% compared to 15.5% in Winger.
- Higher depression rates are seen in Indianapolis at 25.3% versus 24.3% in Winger.
- Indianapolis has a higher smoking rate at 20.7% compared to 19.8% in Winger.
- Binge drinking is more common in Winger at 21.9% compared to 16.7% in Indianapolis.
- Obesity rates are higher in Winger at 39.6% compared to 37.4% in Indianapolis.
- Disability percentages are higher in Winger at 16.0% compared to 13.0% in Indianapolis.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Winger | Indianapolis |
|---|---|---|
| No Schooling | 2.3% (4) | 1.5% (13,330) |
| High School Diploma | 14.5% (25) | 14.9% (130,921) |
| Less than High School | 20.2% (35) | 13.6% (120,182) |
| Bachelor's Degree and Higher | 12.7% (22) | 22.0% (193,312) |
Education Levels Comparison: Winger vs Indianapolis
- A higher percentage of residents in Winger have no formal schooling at 2.3% compared to 1.5% in Indianapolis.
- In Indianapolis, the rate of residents with high school diplomas is higher at 14.9% compared to 14.5% in Winger.
- More residents in Winger have less than a high school education at 20.2% compared to 13.6% in Indianapolis.
- In Indianapolis, a larger share of residents have a bachelor's degree or higher at 22.0% 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.