Demographics details for What cheer, IA vs Boulder, CO
Population Overview
Compare main population characteristics in What cheer, IA vs Boulder, CO.
| Data | What cheer | Boulder |
|---|---|---|
| Population | 597 | 105,485 |
| Median Age | 34.8 years | 28.5 years |
| Median Income | $45,500 | $80,243 |
| Married Families | 45.0% | 28.0% |
| Poverty Level | 12% | 12% |
| Unemployment Rate | 3.9 | 4.2 |
Population Comparison: What cheer vs Boulder
- The population in Boulder is higher at 105,485, compared to 597 in What cheer.
- Residents in What cheer have a higher median age of 34.8 years compared to 28.5 years in Boulder.
- Boulder has a higher median income of $80,243, compared to $45,500 in What cheer.
- A higher percentage of married families is found in What cheer at 45.0% compared to 28.0% in Boulder.
- The poverty level is identical in both What cheer and Boulder at 12%.
- Boulder has a higher unemployment rate at 4.2% compared to 3.9% in What cheer.
Demographics
Demographics What cheer vs Boulder provide insight into the diversity of the communities to compare.
| Demographic | What cheer | Boulder |
|---|---|---|
| Black | 3 | 1 |
| White | 87 | 74 |
| Asian | Data is updating | 6 |
| Hispanic | 6 | 11 |
| Two or More Races | 4 | 7 |
| American Indian | Data is updating | 1 |
Demographics Comparison: What cheer vs Boulder
- A higher percentage of Black residents are in What cheer at 3% compared to 1% in Boulder.
- What cheer has a higher percentage of White residents at 87% compared to 74% in Boulder.
- In Boulder, the Asian population stands at 6%, greater than 0% in What cheer.
- Boulder has a higher percentage of Hispanic residents at 11%, compared to 6% in What cheer.
- The percentage of residents identifying as two or more races is higher in Boulder at 7%, compared to 4% in What cheer.
- In Boulder, the percentage of American Indian residents is higher at 1%, compared to 0% in What cheer.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | What cheer | Boulder |
|---|---|---|
| Mental Health Not Good | 17.0% | 15.2% |
| Physical Health Not Good | 11.3% | 8.9% |
| Depression | 20.1% | 23.3% |
| Smoking | 21.2% | 10.9% |
| Binge Drinking | 21.0% | 19.5% |
| Obesity | 40.1% | 17.5% |
| Disability Percentage | 30.0% | 6.0% |
Health Statistics Comparison: What cheer vs Boulder
- More residents in What cheer report poor mental health at 17.0% compared to 15.2% in Boulder.
- Higher depression rates are seen in Boulder at 23.3% versus 20.1% in What cheer.
- Smoking is more prevalent in What cheer at 21.2% compared to 10.9% in Boulder.
- Binge drinking is more common in What cheer at 21.0% compared to 19.5% in Boulder.
- Obesity rates are higher in What cheer at 40.1% compared to 17.5% in Boulder.
- Disability percentages are higher in What cheer at 30.0% compared to 6.0% in Boulder.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | What cheer | Boulder |
|---|---|---|
| No Schooling | 1.5% (9) | 0.3% (324) |
| High School Diploma | 31.8% (190) | 2.9% (3,026) |
| Less than High School | 11.9% (71) | 3.3% (3,521) |
| Bachelor's Degree and Higher | 5.0% (30) | 43.6% (46,028) |
Education Levels Comparison: What cheer vs Boulder
- A higher percentage of residents in What cheer have no formal schooling at 1.5% compared to 0.3% in Boulder.
- A higher percentage of residents in What cheer hold a high school diploma at 31.8% compared to 2.9% in Boulder.
- More residents in What cheer have less than a high school education at 11.9% compared to 3.3% in Boulder.
- In Boulder, a larger share of residents have a bachelor's degree or higher at 43.6% 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.