Demographics details for Florence, OR vs Dixon, IL
Population Overview
Compare main population characteristics in Florence, OR vs Dixon, IL.
| Data | Florence | Dixon |
|---|---|---|
| Population | 9,376 | 15,177 |
| Median Age | 57.7 years | 41.2 years |
| Median Income | $57,568 | $52,208 |
| Married Families | 42.0% | 30.0% |
| Poverty Level | 10% | 10% |
| Unemployment Rate | 4.5 | 4.5 |
Population Comparison: Florence vs Dixon
- The population in Dixon is higher at 15,177, compared to 9,376 in Florence.
- Residents in Florence have a higher median age of 57.7 years compared to 41.2 years in Dixon.
- Florence has a higher median income of $57,568 compared to $52,208 in Dixon.
- A higher percentage of married families is found in Florence at 42.0% compared to 30.0% in Dixon.
- The poverty level is identical in both Florence and Dixon at 10%.
- The unemployment rate is the same in both Florence and Dixon at 4.5%.
Demographics
Demographics Florence vs Dixon provide insight into the diversity of the communities to compare.
| Demographic | Florence | Dixon |
|---|---|---|
| Black | 2 | 10 |
| White | 87 | 75 |
| Asian | 2 | 1 |
| Hispanic | 5 | 8 |
| Two or More Races | 3 | 6 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Florence vs Dixon
- In Dixon, the percentage of Black residents is higher at 10% compared to 2% in Florence.
- Florence has a higher percentage of White residents at 87% compared to 75% in Dixon.
- The Asian population is larger in Florence at 2% compared to 1% in Dixon.
- Dixon has a higher percentage of Hispanic residents at 8%, compared to 5% in Florence.
- The percentage of residents identifying as two or more races is higher in Dixon at 6%, compared to 3% in Florence.
- A greater percentage of American Indian residents live in Florence at 1% compared to 0% in Dixon.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Florence | Dixon |
|---|---|---|
| Mental Health Not Good | 19.8% | 16.2% |
| Physical Health Not Good | 13.1% | 11.7% |
| Depression | 29.2% | 20.9% |
| Smoking | 16.7% | 18.5% |
| Binge Drinking | 17.0% | 17.9% |
| Obesity | 36.0% | 37.7% |
| Disability Percentage | 25.0% | 17.0% |
Health Statistics Comparison: Florence vs Dixon
- More residents in Florence report poor mental health at 19.8% compared to 16.2% in Dixon.
- Depression is more prevalent in Florence at 29.2% compared to 20.9% in Dixon.
- Dixon has a higher smoking rate at 18.5% compared to 16.7% in Florence.
- More residents engage in binge drinking in Dixon at 17.9% compared to 17.0% in Florence.
- Dixon has higher obesity rates at 37.7% compared to 36.0% in Florence.
- Disability percentages are higher in Florence at 25.0% compared to 17.0% in Dixon.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Florence | Dixon |
|---|---|---|
| No Schooling | 0.4% (35) | 1.4% (214) |
| High School Diploma | 14.2% (1,331) | 20.7% (3,148) |
| Less than High School | 15.6% (1,467) | 18.2% (2,767) |
| Bachelor's Degree and Higher | 19.9% (1,865) | 14.0% (2,122) |
Education Levels Comparison: Florence vs Dixon
- In Dixon, a larger percentage of residents lack formal schooling at 1.4% compared to 0.4% in Florence.
- In Dixon, the rate of residents with high school diplomas is higher at 20.7% compared to 14.2% in Florence.
- The percentage of residents with less than a high school education is higher in Dixon at 18.2%, compared to 15.6% in Florence.
- A higher percentage of residents in Florence hold a bachelor's degree or higher at 19.9% compared to 14.0% in Dixon.
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.