Demographics details for Wheeling, WV vs Greenwood, IN
Population Overview
Compare main population characteristics in Wheeling, WV vs Greenwood, IN.
| Data | Wheeling | Greenwood |
|---|---|---|
| Population | 26,391 | 65,406 |
| Median Age | 45.0 years | 36.2 years |
| Median Income | $46,516 | $75,398 |
| Married Families | 34.0% | 40.0% |
| Poverty Level | 18% | 7% |
| Unemployment Rate | 4.1 | 3.8 |
Population Comparison: Wheeling vs Greenwood
- The population in Greenwood is higher at 65,406, compared to 26,391 in Wheeling.
- Residents in Wheeling have a higher median age of 45.0 years compared to 36.2 years in Greenwood.
- Greenwood has a higher median income of $75,398, compared to $46,516 in Wheeling.
- In Greenwood, the percentage of married families is higher at 40.0%, compared to 34.0% in Wheeling.
- Wheeling has a higher poverty level at 18% compared to 7% in Greenwood.
- The unemployment rate in Wheeling is higher at 4.1%, compared to 3.8% in Greenwood.
Demographics
Demographics Wheeling vs Greenwood provide insight into the diversity of the communities to compare.
| Demographic | Wheeling | Greenwood |
|---|---|---|
| Black | 4 | 4 |
| White | 90 | 76 |
| Asian | 1 | 7 |
| Hispanic | 1 | 7 |
| Two or More Races | 4 | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Wheeling vs Greenwood
- The percentage of Black residents is the same in both Wheeling and Greenwood at 4%.
- Wheeling has a higher percentage of White residents at 90% compared to 76% in Greenwood.
- In Greenwood, the Asian population stands at 7%, greater than 1% in Wheeling.
- Greenwood has a higher percentage of Hispanic residents at 7%, compared to 1% in Wheeling.
- The percentage of residents identifying as two or more races is higher in Greenwood at 6%, compared to 4% in Wheeling.
- The percentage of American Indian residents is the same in both Wheeling and Greenwood at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Wheeling | Greenwood |
|---|---|---|
| Mental Health Not Good | 19.5% | 16.5% |
| Physical Health Not Good | 13.3% | 10.4% |
| Depression | 28.7% | 27.4% |
| Smoking | 21.0% | 17.2% |
| Binge Drinking | 14.4% | 16.9% |
| Obesity | 40.4% | 40.0% |
| Disability Percentage | 17.0% | 9.0% |
Health Statistics Comparison: Wheeling vs Greenwood
- More residents in Wheeling report poor mental health at 19.5% compared to 16.5% in Greenwood.
- Depression is more prevalent in Wheeling at 28.7% compared to 27.4% in Greenwood.
- Smoking is more prevalent in Wheeling at 21.0% compared to 17.2% in Greenwood.
- More residents engage in binge drinking in Greenwood at 16.9% compared to 14.4% in Wheeling.
- Obesity rates are higher in Wheeling at 40.4% compared to 40.0% in Greenwood.
- Disability percentages are higher in Wheeling at 17.0% 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 | Wheeling | Greenwood |
|---|---|---|
| No Schooling | 0.5% (130) | 1.5% (1,000) |
| High School Diploma | 22.3% (5,888) | 17.0% (11,136) |
| Less than High School | 10.1% (2,653) | 10.7% (6,995) |
| Bachelor's Degree and Higher | 23.5% (6,209) | 20.0% (13,060) |
Education Levels Comparison: Wheeling vs Greenwood
- In Greenwood, a larger percentage of residents lack formal schooling at 1.5% compared to 0.5% in Wheeling.
- A higher percentage of residents in Wheeling hold a high school diploma at 22.3% compared to 17.0% in Greenwood.
- The percentage of residents with less than a high school education is higher in Greenwood at 10.7%, compared to 10.1% in Wheeling.
- A higher percentage of residents in Wheeling hold a bachelor's degree or higher at 23.5% compared to 20.0% in Greenwood.
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.