Demographics details for Sloan, IA vs Florence, OR
Population Overview
Compare main population characteristics in Sloan, IA vs Florence, OR.
| Data | Sloan | Florence |
|---|---|---|
| Population | 1,049 | 9,376 |
| Median Age | 38.6 years | 57.7 years |
| Median Income | $69,167 | $57,568 |
| Married Families | 44.0% | 42.0% |
| Poverty Level | 5% | 10% |
| Unemployment Rate | 2.5 | 4.5 |
Population Comparison: Sloan vs Florence
- The population in Florence is higher at 9,376, compared to 1,049 in Sloan.
- The median age in Florence is higher at 57.7 years, compared to 38.6 years in Sloan.
- Sloan has a higher median income of $69,167 compared to $57,568 in Florence.
- A higher percentage of married families is found in Sloan at 44.0% compared to 42.0% in Florence.
- The poverty level is higher in Florence at 10%, compared to 5% in Sloan.
- Florence has a higher unemployment rate at 4.5% compared to 2.5% in Sloan.
Demographics
Demographics Sloan vs Florence provide insight into the diversity of the communities to compare.
| Demographic | Sloan | Florence |
|---|---|---|
| Black | Data is updating | 2 |
| White | 90 | 87 |
| Asian | Data is updating | 2 |
| Hispanic | 2 | 5 |
| Two or More Races | 1 | 3 |
| American Indian | 7 | 1 |
Demographics Comparison: Sloan vs Florence
- In Florence, the percentage of Black residents is higher at 2% compared to 0% in Sloan.
- Sloan has a higher percentage of White residents at 90% compared to 87% in Florence.
- In Florence, the Asian population stands at 2%, greater than 0% in Sloan.
- Florence has a higher percentage of Hispanic residents at 5%, compared to 2% in Sloan.
- The percentage of residents identifying as two or more races is higher in Florence at 3%, compared to 1% in Sloan.
- A greater percentage of American Indian residents live in Sloan at 7% compared to 1% in Florence.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Sloan | Florence |
|---|---|---|
| Mental Health Not Good | 15.4% | 19.8% |
| Physical Health Not Good | 9.9% | 13.1% |
| Depression | 20.3% | 29.2% |
| Smoking | 18.3% | 16.7% |
| Binge Drinking | 23.0% | 17.0% |
| Obesity | 36.7% | 36.0% |
| Disability Percentage | 9.0% | 25.0% |
Health Statistics Comparison: Sloan vs Florence
- In Florence, a higher percentage report poor mental health at 19.8% compared to 15.4% in Sloan.
- Higher depression rates are seen in Florence at 29.2% versus 20.3% in Sloan.
- Smoking is more prevalent in Sloan at 18.3% compared to 16.7% in Florence.
- Binge drinking is more common in Sloan at 23.0% compared to 17.0% in Florence.
- Obesity rates are higher in Sloan at 36.7% compared to 36.0% in Florence.
- There is a higher percentage of disabled individuals in Florence at 25.0% compared to 9.0% in Sloan.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Sloan | Florence |
|---|---|---|
| No Schooling | 0.4% (4) | 0.4% (35) |
| High School Diploma | 22.3% (234) | 14.2% (1,331) |
| Less than High School | 1.0% (10) | 15.6% (1,467) |
| Bachelor's Degree and Higher | 16.5% (173) | 19.9% (1,865) |
Education Levels Comparison: Sloan vs Florence
- The percentage of residents with no formal schooling is the same in both Sloan and Florence at 0.4%.
- A higher percentage of residents in Sloan hold a high school diploma at 22.3% compared to 14.2% in Florence.
- The percentage of residents with less than a high school education is higher in Florence at 15.6%, compared to 1.0% in Sloan.
- In Florence, a larger share of residents have a bachelor's degree or higher at 19.9% compared to 16.5% in Sloan.
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.