Demographics details for Earlville, IL vs Florence, OR
Population Overview
Compare main population characteristics in Earlville, IL vs Florence, OR.
| Data | Earlville | Florence |
|---|---|---|
| Population | 1,593 | 9,376 |
| Median Age | 34.9 years | 57.7 years |
| Median Income | $59,028 | $57,568 |
| Married Families | 45.0% | 42.0% |
| Poverty Level | 10% | 10% |
| Unemployment Rate | 4.0 | 4.5 |
Population Comparison: Earlville vs Florence
- The population in Florence is higher at 9,376, compared to 1,593 in Earlville.
- The median age in Florence is higher at 57.7 years, compared to 34.9 years in Earlville.
- Earlville has a higher median income of $59,028 compared to $57,568 in Florence.
- A higher percentage of married families is found in Earlville at 45.0% compared to 42.0% in Florence.
- The poverty level is identical in both Earlville and Florence at 10%.
- Florence has a higher unemployment rate at 4.5% compared to 4.0% in Earlville.
Demographics
Demographics Earlville vs Florence provide insight into the diversity of the communities to compare.
| Demographic | Earlville | Florence |
|---|---|---|
| Black | Data is updating | 2 |
| White | 84 | 87 |
| Asian | Data is updating | 2 |
| Hispanic | 9 | 5 |
| Two or More Races | 7 | 3 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Earlville vs Florence
- In Florence, the percentage of Black residents is higher at 2% compared to 0% in Earlville.
- The percentage of White residents is higher in Florence at 87% compared to 84% in Earlville.
- In Florence, the Asian population stands at 2%, greater than 0% in Earlville.
- The Hispanic community is larger in Earlville at 9% compared to 5% in Florence.
- More residents identify as two or more races in Earlville at 7% compared to 3% in Florence.
- In Florence, the percentage of American Indian residents is higher at 1%, compared to 0% in Earlville.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Earlville | Florence |
|---|---|---|
| Mental Health Not Good | 16.2% | 19.8% |
| Physical Health Not Good | 10.9% | 13.1% |
| Depression | 22.0% | 29.2% |
| Smoking | 17.3% | 16.7% |
| Binge Drinking | 18.5% | 17.0% |
| Obesity | 34.9% | 36.0% |
| Disability Percentage | 23.0% | 25.0% |
Health Statistics Comparison: Earlville vs Florence
- In Florence, a higher percentage report poor mental health at 19.8% compared to 16.2% in Earlville.
- Higher depression rates are seen in Florence at 29.2% versus 22.0% in Earlville.
- Smoking is more prevalent in Earlville at 17.3% compared to 16.7% in Florence.
- Binge drinking is more common in Earlville at 18.5% compared to 17.0% in Florence.
- Florence has higher obesity rates at 36.0% compared to 34.9% in Earlville.
- There is a higher percentage of disabled individuals in Florence at 25.0% compared to 23.0% in Earlville.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Earlville | Florence |
|---|---|---|
| No Schooling | 0.2% (3) | 0.4% (35) |
| High School Diploma | 25.4% (404) | 14.2% (1,331) |
| Less than High School | 17.6% (281) | 15.6% (1,467) |
| Bachelor's Degree and Higher | 5.8% (93) | 19.9% (1,865) |
Education Levels Comparison: Earlville vs Florence
- In Florence, a larger percentage of residents lack formal schooling at 0.4% compared to 0.2% in Earlville.
- A higher percentage of residents in Earlville hold a high school diploma at 25.4% compared to 14.2% in Florence.
- More residents in Earlville have less than a high school education at 17.6% compared to 15.6% in Florence.
- In Florence, a larger share of residents have a bachelor's degree or higher at 19.9% compared to 5.8% in Earlville.
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.