Demographics details for Spanish fork, UT vs Strum, WI
Population Overview
Compare main population characteristics in Spanish fork, UT vs Strum, WI.
| Data | Spanish fork | Strum |
|---|---|---|
| Population | 44,102 | 1,068 |
| Median Age | 27.4 years | 33.7 years |
| Median Income | $93,989 | $64,911 |
| Married Families | 43.0% | 41.0% |
| Poverty Level | 6% | Data is updating |
| Unemployment Rate | 3.8 | 2.5 |
Population Comparison: Spanish fork vs Strum
- In Spanish fork, the population is higher at 44,102, compared to 1,068 in Strum.
- The median age in Strum is higher at 33.7 years, compared to 27.4 years in Spanish fork.
- Spanish fork has a higher median income of $93,989 compared to $64,911 in Strum.
- A higher percentage of married families is found in Spanish fork at 43.0% compared to 41.0% in Strum.
- Spanish fork has a higher poverty level at 6% compared to 0% in Strum.
- The unemployment rate in Spanish fork is higher at 3.8%, compared to 2.5% in Strum.
Demographics
Demographics Spanish fork vs Strum provide insight into the diversity of the communities to compare.
| Demographic | Spanish fork | Strum |
|---|---|---|
| Black | 1 | Data is updating |
| White | 80 | 91 |
| Asian | Data is updating | 1 |
| Hispanic | 12 | 4 |
| Two or More Races | 7 | 3 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Spanish fork vs Strum
- A higher percentage of Black residents are in Spanish fork at 1% compared to 0% in Strum.
- The percentage of White residents is higher in Strum at 91% compared to 80% in Spanish fork.
- In Strum, the Asian population stands at 1%, greater than 0% in Spanish fork.
- The Hispanic community is larger in Spanish fork at 12% compared to 4% in Strum.
- More residents identify as two or more races in Spanish fork at 7% compared to 3% in Strum.
- In Strum, the percentage of American Indian residents is higher at 1%, compared to 0% in Spanish fork.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Spanish fork | Strum |
|---|---|---|
| Mental Health Not Good | 15.0% | 14.7% |
| Physical Health Not Good | 10.8% | 9.9% |
| Depression | 23.8% | 23.2% |
| Smoking | 7.7% | 15.7% |
| Binge Drinking | 8.3% | 24.8% |
| Obesity | 31.0% | 35.0% |
| Disability Percentage | 8.0% | 14.0% |
Health Statistics Comparison: Spanish fork vs Strum
- More residents in Spanish fork report poor mental health at 15.0% compared to 14.7% in Strum.
- Depression is more prevalent in Spanish fork at 23.8% compared to 23.2% in Strum.
- Strum has a higher smoking rate at 15.7% compared to 7.7% in Spanish fork.
- More residents engage in binge drinking in Strum at 24.8% compared to 8.3% in Spanish fork.
- Strum has higher obesity rates at 35.0% compared to 31.0% in Spanish fork.
- There is a higher percentage of disabled individuals in Strum at 14.0% compared to 8.0% in Spanish fork.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Spanish fork | Strum |
|---|---|---|
| No Schooling | 0.4% (175) | 0.7% (7) |
| High School Diploma | 9.1% (4,010) | 23.6% (252) |
| Less than High School | 5.9% (2,583) | 4.5% (48) |
| Bachelor's Degree and Higher | 19.4% (8,546) | 14.5% (155) |
Education Levels Comparison: Spanish fork vs Strum
- In Strum, a larger percentage of residents lack formal schooling at 0.7% compared to 0.4% in Spanish fork.
- In Strum, the rate of residents with high school diplomas is higher at 23.6% compared to 9.1% in Spanish fork.
- More residents in Spanish fork have less than a high school education at 5.9% compared to 4.5% in Strum.
- A higher percentage of residents in Spanish fork hold a bachelor's degree or higher at 19.4% compared to 14.5% in Strum.
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.