Demographics details for Connersville, IN vs Florence, OR
Population Overview
Compare main population characteristics in Connersville, IN vs Florence, OR.
| Data | Connersville | Florence |
|---|---|---|
| Population | 13,292 | 9,376 |
| Median Age | 40.6 years | 57.7 years |
| Median Income | $41,769 | $57,568 |
| Married Families | 35.0% | 42.0% |
| Poverty Level | 13% | 10% |
| Unemployment Rate | 4.2 | 4.5 |
Population Comparison: Connersville vs Florence
- In Connersville, the population is higher at 13,292, compared to 9,376 in Florence.
- The median age in Florence is higher at 57.7 years, compared to 40.6 years in Connersville.
- Florence has a higher median income of $57,568, compared to $41,769 in Connersville.
- In Florence, the percentage of married families is higher at 42.0%, compared to 35.0% in Connersville.
- Connersville has a higher poverty level at 13% compared to 10% in Florence.
- Florence has a higher unemployment rate at 4.5% compared to 4.2% in Connersville.
Demographics
Demographics Connersville vs Florence provide insight into the diversity of the communities to compare.
| Demographic | Connersville | Florence |
|---|---|---|
| Black | 2 | 2 |
| White | 92 | 87 |
| Asian | Data is updating | 2 |
| Hispanic | 2 | 5 |
| Two or More Races | 4 | 3 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Connersville vs Florence
- The percentage of Black residents is the same in both Connersville and Florence at 2%.
- Connersville has a higher percentage of White residents at 92% compared to 87% in Florence.
- In Florence, the Asian population stands at 2%, greater than 0% in Connersville.
- Florence has a higher percentage of Hispanic residents at 5%, compared to 2% in Connersville.
- More residents identify as two or more races in Connersville at 4% compared to 3% in Florence.
- In Florence, the percentage of American Indian residents is higher at 1%, compared to 0% in Connersville.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Connersville | Florence |
|---|---|---|
| Mental Health Not Good | 21.0% | 19.8% |
| Physical Health Not Good | 15.5% | 13.1% |
| Depression | 28.7% | 29.2% |
| Smoking | 27.7% | 16.7% |
| Binge Drinking | 15.7% | 17.0% |
| Obesity | 43.0% | 36.0% |
| Disability Percentage | 24.0% | 25.0% |
Health Statistics Comparison: Connersville vs Florence
- More residents in Connersville report poor mental health at 21.0% compared to 19.8% in Florence.
- Higher depression rates are seen in Florence at 29.2% versus 28.7% in Connersville.
- Smoking is more prevalent in Connersville at 27.7% compared to 16.7% in Florence.
- More residents engage in binge drinking in Florence at 17.0% compared to 15.7% in Connersville.
- Obesity rates are higher in Connersville at 43.0% compared to 36.0% in Florence.
- There is a higher percentage of disabled individuals in Florence at 25.0% compared to 24.0% in Connersville.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Connersville | Florence |
|---|---|---|
| No Schooling | 1.2% (155) | 0.4% (35) |
| High School Diploma | 19.8% (2,632) | 14.2% (1,331) |
| Less than High School | 24.7% (3,281) | 15.6% (1,467) |
| Bachelor's Degree and Higher | 9.7% (1,288) | 19.9% (1,865) |
Education Levels Comparison: Connersville vs Florence
- A higher percentage of residents in Connersville have no formal schooling at 1.2% compared to 0.4% in Florence.
- A higher percentage of residents in Connersville hold a high school diploma at 19.8% compared to 14.2% in Florence.
- More residents in Connersville have less than a high school education at 24.7% 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 9.7% in Connersville.
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.