Demographics details for Blue mounds, WI vs Gainesville, FL
Population Overview
Compare main population characteristics in Blue mounds, WI vs Gainesville, FL.
Data | Blue mounds | Gainesville |
---|---|---|
Population | 924 | 145,214 |
Median Age | 37.0 years | 26.0 years |
Median Income | $71,094 | $43,783 |
Married Families | 34.0% | 21.0% |
Poverty Level | 8% | 20% |
Unemployment Rate | 2.4 | 4.5 |
Population Comparison: Blue mounds vs Gainesville
- The population in Gainesville is higher at 145,214, compared to 924 in Blue mounds.
- Residents in Blue mounds have a higher median age of 37.0 years compared to 26.0 years in Gainesville.
- Blue mounds has a higher median income of $71,094 compared to $43,783 in Gainesville.
- A higher percentage of married families is found in Blue mounds at 34.0% compared to 21.0% in Gainesville.
- The poverty level is higher in Gainesville at 20%, compared to 8% in Blue mounds.
- Gainesville has a higher unemployment rate at 4.5% compared to 2.4% in Blue mounds.
Demographics
Demographics Blue mounds vs Gainesville provide insight into the diversity of the communities to compare.
Demographic | Blue mounds | Gainesville |
---|---|---|
Black | 1 | 21 |
White | 96 | 53 |
Asian | Data is updating | 6 |
Hispanic | 1 | 12 |
Two or More Races | 2 | 8 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Blue mounds vs Gainesville
- In Gainesville, the percentage of Black residents is higher at 21% compared to 1% in Blue mounds.
- Blue mounds has a higher percentage of White residents at 96% compared to 53% in Gainesville.
- In Gainesville, the Asian population stands at 6%, greater than 0% in Blue mounds.
- Gainesville has a higher percentage of Hispanic residents at 12%, compared to 1% in Blue mounds.
- The percentage of residents identifying as two or more races is higher in Gainesville at 8%, compared to 2% in Blue mounds.
- The percentage of American Indian residents is the same in both Blue mounds and Gainesville at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Blue mounds | Gainesville |
---|---|---|
Mental Health Not Good | 13.4% | 16.6% |
Physical Health Not Good | 7.8% | 11.8% |
Depression | 24.2% | 18.9% |
Smoking | 11.9% | 18.3% |
Binge Drinking | 25.4% | 15.0% |
Obesity | 27.3% | 33.1% |
Disability Percentage | 11.0% | 9.0% |
Health Statistics Comparison: Blue mounds vs Gainesville
- In Gainesville, a higher percentage report poor mental health at 16.6% compared to 13.4% in Blue mounds.
- Depression is more prevalent in Blue mounds at 24.2% compared to 18.9% in Gainesville.
- Gainesville has a higher smoking rate at 18.3% compared to 11.9% in Blue mounds.
- Binge drinking is more common in Blue mounds at 25.4% compared to 15.0% in Gainesville.
- Gainesville has higher obesity rates at 33.1% compared to 27.3% in Blue mounds.
- Disability percentages are higher in Blue mounds at 11.0% compared to 9.0% in Gainesville.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Blue mounds | Gainesville |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.8% (1,117) |
High School Diploma | 15.3% (141) | 7.5% (10,893) |
Less than High School | 9.0% (83) | 4.7% (6,845) |
Bachelor's Degree and Higher | 19.7% (182) | 25.5% (37,008) |
Education Levels Comparison: Blue mounds vs Gainesville
- In Gainesville, a larger percentage of residents lack formal schooling at 0.8% compared to 0.0% in Blue mounds.
- A higher percentage of residents in Blue mounds hold a high school diploma at 15.3% compared to 7.5% in Gainesville.
- More residents in Blue mounds have less than a high school education at 9.0% compared to 4.7% in Gainesville.
- In Gainesville, a larger share of residents have a bachelor's degree or higher at 25.5% compared to 19.7% in Blue mounds.
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.