Demographics details for Danville, IL vs Florence, OR
Population Overview
Compare main population characteristics in Danville, IL vs Florence, OR.
| Data | Danville | Florence |
|---|---|---|
| Population | 28,472 | 9,376 |
| Median Age | 38.6 years | 57.7 years |
| Median Income | $42,424 | $57,568 |
| Married Families | 25.0% | 42.0% |
| Poverty Level | 20% | 10% |
| Unemployment Rate | 8.6 | 4.5 |
Population Comparison: Danville vs Florence
- In Danville, the population is higher at 28,472, compared to 9,376 in Florence.
- The median age in Florence is higher at 57.7 years, compared to 38.6 years in Danville.
- Florence has a higher median income of $57,568, compared to $42,424 in Danville.
- In Florence, the percentage of married families is higher at 42.0%, compared to 25.0% in Danville.
- Danville has a higher poverty level at 20% compared to 10% in Florence.
- The unemployment rate in Danville is higher at 8.6%, compared to 4.5% in Florence.
Demographics
Demographics Danville vs Florence provide insight into the diversity of the communities to compare.
| Demographic | Danville | Florence |
|---|---|---|
| Black | 34 | 2 |
| White | 52 | 87 |
| Asian | 1 | 2 |
| Hispanic | 8 | 5 |
| Two or More Races | 5 | 3 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Danville vs Florence
- A higher percentage of Black residents are in Danville at 34% compared to 2% in Florence.
- The percentage of White residents is higher in Florence at 87% compared to 52% in Danville.
- In Florence, the Asian population stands at 2%, greater than 1% in Danville.
- The Hispanic community is larger in Danville at 8% compared to 5% in Florence.
- More residents identify as two or more races in Danville at 5% compared to 3% in Florence.
- In Florence, the percentage of American Indian residents is higher at 1%, compared to 0% in Danville.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Danville | Florence |
|---|---|---|
| Mental Health Not Good | 18.9% | 19.8% |
| Physical Health Not Good | 14.5% | 13.1% |
| Depression | 21.2% | 29.2% |
| Smoking | 23.9% | 16.7% |
| Binge Drinking | 14.9% | 17.0% |
| Obesity | 41.4% | 36.0% |
| Disability Percentage | 17.0% | 25.0% |
Health Statistics Comparison: Danville vs Florence
- In Florence, a higher percentage report poor mental health at 19.8% compared to 18.9% in Danville.
- Higher depression rates are seen in Florence at 29.2% versus 21.2% in Danville.
- Smoking is more prevalent in Danville at 23.9% compared to 16.7% in Florence.
- More residents engage in binge drinking in Florence at 17.0% compared to 14.9% in Danville.
- Obesity rates are higher in Danville at 41.4% compared to 36.0% in Florence.
- There is a higher percentage of disabled individuals in Florence at 25.0% compared to 17.0% in Danville.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Danville | Florence |
|---|---|---|
| No Schooling | 0.9% (270) | 0.4% (35) |
| High School Diploma | 20.6% (5,853) | 14.2% (1,331) |
| Less than High School | 13.1% (3,727) | 15.6% (1,467) |
| Bachelor's Degree and Higher | 11.7% (3,344) | 19.9% (1,865) |
Education Levels Comparison: Danville vs Florence
- A higher percentage of residents in Danville have no formal schooling at 0.9% compared to 0.4% in Florence.
- A higher percentage of residents in Danville hold a high school diploma at 20.6% 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 13.1% in Danville.
- In Florence, a larger share of residents have a bachelor's degree or higher at 19.9% compared to 11.7% in Danville.
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.