Demographics details for Folsom, CA vs Blue mounds, WI
Population Overview
Compare main population characteristics in Folsom, CA vs Blue mounds, WI.
| Data | Folsom | Blue mounds |
|---|---|---|
| Population | 83,269 | 924 |
| Median Age | 39.9 years | 37.0 years |
| Median Income | $134,935 | $71,094 |
| Married Families | 44.0% | 34.0% |
| Poverty Level | 7% | 8% |
| Unemployment Rate | 3.8 | 2.4 |
Population Comparison: Folsom vs Blue mounds
- In Folsom, the population is higher at 83,269, compared to 924 in Blue mounds.
- Residents in Folsom have a higher median age of 39.9 years compared to 37.0 years in Blue mounds.
- Folsom has a higher median income of $134,935 compared to $71,094 in Blue mounds.
- A higher percentage of married families is found in Folsom at 44.0% compared to 34.0% in Blue mounds.
- The poverty level is higher in Blue mounds at 8%, compared to 7% in Folsom.
- The unemployment rate in Folsom is higher at 3.8%, compared to 2.4% in Blue mounds.
Demographics
Demographics Folsom vs Blue mounds provide insight into the diversity of the communities to compare.
| Demographic | Folsom | Blue mounds |
|---|---|---|
| Black | 4 | 1 |
| White | 54 | 96 |
| Asian | 18 | Data is updating |
| Hispanic | 14 | 1 |
| Two or More Races | 10 | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Folsom vs Blue mounds
- A higher percentage of Black residents are in Folsom at 4% compared to 1% in Blue mounds.
- The percentage of White residents is higher in Blue mounds at 96% compared to 54% in Folsom.
- The Asian population is larger in Folsom at 18% compared to 0% in Blue mounds.
- The Hispanic community is larger in Folsom at 14% compared to 1% in Blue mounds.
- More residents identify as two or more races in Folsom at 10% compared to 2% in Blue mounds.
- The percentage of American Indian residents is the same in both Folsom and Blue mounds at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Folsom | Blue mounds |
|---|---|---|
| Mental Health Not Good | 13.9% | 13.4% |
| Physical Health Not Good | 8.4% | 7.8% |
| Depression | 17.7% | 24.2% |
| Smoking | 9.5% | 11.9% |
| Binge Drinking | 17.8% | 25.4% |
| Obesity | 28.0% | 27.3% |
| Disability Percentage | 7.0% | 11.0% |
Health Statistics Comparison: Folsom vs Blue mounds
- More residents in Folsom report poor mental health at 13.9% compared to 13.4% in Blue mounds.
- Higher depression rates are seen in Blue mounds at 24.2% versus 17.7% in Folsom.
- Blue mounds has a higher smoking rate at 11.9% compared to 9.5% in Folsom.
- More residents engage in binge drinking in Blue mounds at 25.4% compared to 17.8% in Folsom.
- Obesity rates are higher in Folsom at 28.0% compared to 27.3% in Blue mounds.
- There is a higher percentage of disabled individuals in Blue mounds at 11.0% compared to 7.0% in Folsom.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Folsom | Blue mounds |
|---|---|---|
| No Schooling | 0.5% (451) | 0.0% (Data is updating) |
| High School Diploma | 7.7% (6,439) | 15.3% (141) |
| Less than High School | 6.1% (5,119) | 9.0% (83) |
| Bachelor's Degree and Higher | 36.4% (30,311) | 19.7% (182) |
Education Levels Comparison: Folsom vs Blue mounds
- A higher percentage of residents in Folsom have no formal schooling at 0.5% compared to 0.0% in Blue mounds.
- In Blue mounds, the rate of residents with high school diplomas is higher at 15.3% compared to 7.7% in Folsom.
- The percentage of residents with less than a high school education is higher in Blue mounds at 9.0%, compared to 6.1% in Folsom.
- A higher percentage of residents in Folsom hold a bachelor's degree or higher at 36.4% 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.