Demographics details for Mercer, WI vs Boulder, CO
Population Overview
Compare main population characteristics in Mercer, WI vs Boulder, CO.
Data | Mercer | Boulder |
---|---|---|
Population | 1,732 | 105,485 |
Median Age | 55.0 years | 28.5 years |
Median Income | $50,000 | $80,243 |
Married Families | 35.0% | 28.0% |
Poverty Level | 10% | 12% |
Unemployment Rate | 5.0 | 4.2 |
Population Comparison: Mercer vs Boulder
- The population in Boulder is higher at 105,485, compared to 1,732 in Mercer.
- Residents in Mercer have a higher median age of 55.0 years compared to 28.5 years in Boulder.
- Boulder has a higher median income of $80,243, compared to $50,000 in Mercer.
- A higher percentage of married families is found in Mercer at 35.0% compared to 28.0% in Boulder.
- The poverty level is higher in Boulder at 12%, compared to 10% in Mercer.
- The unemployment rate in Mercer is higher at 5.0%, compared to 4.2% in Boulder.
Demographics
Demographics Mercer vs Boulder provide insight into the diversity of the communities to compare.
Demographic | Mercer | Boulder |
---|---|---|
Black | Data is updating | 1 |
White | 97 | 74 |
Asian | 1 | 6 |
Hispanic | 1 | 11 |
Two or More Races | 1 | 7 |
American Indian | Data is updating | 1 |
Demographics Comparison: Mercer vs Boulder
- In Boulder, the percentage of Black residents is higher at 1% compared to 0% in Mercer.
- Mercer has a higher percentage of White residents at 97% compared to 74% in Boulder.
- In Boulder, the Asian population stands at 6%, greater than 1% in Mercer.
- Boulder has a higher percentage of Hispanic residents at 11%, compared to 1% in Mercer.
- The percentage of residents identifying as two or more races is higher in Boulder at 7%, compared to 1% in Mercer.
- In Boulder, the percentage of American Indian residents is higher at 1%, compared to 0% in Mercer.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Mercer | Boulder |
---|---|---|
Mental Health Not Good | Data is updating% | 15.2% |
Physical Health Not Good | Data is updating% | 8.9% |
Depression | Data is updating% | 23.3% |
Smoking | Data is updating% | 10.9% |
Binge Drinking | Data is updating% | 19.5% |
Obesity | Data is updating% | 17.5% |
Disability Percentage | Data is updating% | 6.0% |
Health Statistics Comparison: Mercer vs Boulder
- In Boulder, a higher percentage report poor mental health at 15.2% compared to 0.0% in Mercer.
- Higher depression rates are seen in Boulder at 23.3% versus 0.0% in Mercer.
- Boulder has a higher smoking rate at 10.9% compared to 0.0% in Mercer.
- More residents engage in binge drinking in Boulder at 19.5% compared to 0.0% in Mercer.
- Boulder has higher obesity rates at 17.5% compared to 0.0% in Mercer.
- There is a higher percentage of disabled individuals in Boulder at 6.0% compared to 0.0% in Mercer.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Mercer | Boulder |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.3% (324) |
High School Diploma | 0.0% (Data is updating) | 2.9% (3,026) |
Less than High School | 0.0% (Data is updating) | 3.3% (3,521) |
Bachelor's Degree and Higher | 0.0% (Data is updating) | 43.6% (46,028) |
Education Levels Comparison: Mercer vs Boulder
- In Boulder, a larger percentage of residents lack formal schooling at 0.3% compared to 0.0% in Mercer.
- In Boulder, the rate of residents with high school diplomas is higher at 2.9% compared to 0.0% in Mercer.
- The percentage of residents with less than a high school education is higher in Boulder at 3.3%, compared to 0.0% in Mercer.
- In Boulder, a larger share of residents have a bachelor's degree or higher at 43.6% compared to 0.0% in Mercer.
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.