Demographics details for What cheer, IA vs Stanley, VA
Population Overview
Compare main population characteristics in What cheer, IA vs Stanley, VA.
| Data | What cheer | Stanley |
|---|---|---|
| Population | 597 | 1,702 |
| Median Age | 34.8 years | 41.1 years |
| Median Income | $45,500 | $42,976 |
| Married Families | 45.0% | 31.0% |
| Poverty Level | 12% | Data is updating |
| Unemployment Rate | 3.9 | 3.5 |
Population Comparison: What cheer vs Stanley
- The population in Stanley is higher at 1,702, compared to 597 in What cheer.
- The median age in Stanley is higher at 41.1 years, compared to 34.8 years in What cheer.
- What cheer has a higher median income of $45,500 compared to $42,976 in Stanley.
- A higher percentage of married families is found in What cheer at 45.0% compared to 31.0% in Stanley.
- What cheer has a higher poverty level at 12% compared to 0% in Stanley.
- The unemployment rate in What cheer is higher at 3.9%, compared to 3.5% in Stanley.
Demographics
Demographics What cheer vs Stanley provide insight into the diversity of the communities to compare.
| Demographic | What cheer | Stanley |
|---|---|---|
| Black | 3 | Data is updating |
| White | 87 | 95 |
| Asian | Data is updating | Data is updating |
| Hispanic | 6 | 2 |
| Two or More Races | 4 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: What cheer vs Stanley
- A higher percentage of Black residents are in What cheer at 3% compared to 0% in Stanley.
- The percentage of White residents is higher in Stanley at 95% compared to 87% in What cheer.
- Both What cheer and Stanley have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in What cheer at 6% compared to 2% in Stanley.
- More residents identify as two or more races in What cheer at 4% compared to 3% in Stanley.
- The percentage of American Indian residents is the same in both What cheer and Stanley at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | What cheer | Stanley |
|---|---|---|
| Mental Health Not Good | 17.0% | 20.1% |
| Physical Health Not Good | 11.3% | 14.1% |
| Depression | 20.1% | 27.4% |
| Smoking | 21.2% | 23.9% |
| Binge Drinking | 21.0% | 16.8% |
| Obesity | 40.1% | 40.4% |
| Disability Percentage | 30.0% | 24.0% |
Health Statistics Comparison: What cheer vs Stanley
- In Stanley, a higher percentage report poor mental health at 20.1% compared to 17.0% in What cheer.
- Higher depression rates are seen in Stanley at 27.4% versus 20.1% in What cheer.
- Stanley has a higher smoking rate at 23.9% compared to 21.2% in What cheer.
- Binge drinking is more common in What cheer at 21.0% compared to 16.8% in Stanley.
- Stanley has higher obesity rates at 40.4% compared to 40.1% in What cheer.
- Disability percentages are higher in What cheer at 30.0% compared to 24.0% in Stanley.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | What cheer | Stanley |
|---|---|---|
| No Schooling | 1.5% (9) | 0.6% (10) |
| High School Diploma | 31.8% (190) | 28.0% (477) |
| Less than High School | 11.9% (71) | 38.5% (656) |
| Bachelor's Degree and Higher | 5.0% (30) | 7.4% (126) |
Education Levels Comparison: What cheer vs Stanley
- A higher percentage of residents in What cheer have no formal schooling at 1.5% compared to 0.6% in Stanley.
- A higher percentage of residents in What cheer hold a high school diploma at 31.8% compared to 28.0% in Stanley.
- The percentage of residents with less than a high school education is higher in Stanley at 38.5%, compared to 11.9% in What cheer.
- In Stanley, a larger share of residents have a bachelor's degree or higher at 7.4% compared to 5.0% in What cheer.
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.