Demographics details for Ellettsville, IN vs Florence, OR
Population Overview
Compare main population characteristics in Ellettsville, IN vs Florence, OR.
Data | Ellettsville | Florence |
---|---|---|
Population | 6,657 | 9,376 |
Median Age | 35.2 years | 57.7 years |
Median Income | $79,455 | $57,568 |
Married Families | 47.0% | 42.0% |
Poverty Level | 9% | 10% |
Unemployment Rate | 3.2 | 4.5 |
Population Comparison: Ellettsville vs Florence
- The population in Florence is higher at 9,376, compared to 6,657 in Ellettsville.
- The median age in Florence is higher at 57.7 years, compared to 35.2 years in Ellettsville.
- Ellettsville has a higher median income of $79,455 compared to $57,568 in Florence.
- A higher percentage of married families is found in Ellettsville at 47.0% compared to 42.0% in Florence.
- The poverty level is higher in Florence at 10%, compared to 9% in Ellettsville.
- Florence has a higher unemployment rate at 4.5% compared to 3.2% in Ellettsville.
Demographics
Demographics Ellettsville vs Florence provide insight into the diversity of the communities to compare.
Demographic | Ellettsville | Florence |
---|---|---|
Black | 1 | 2 |
White | 94 | 87 |
Asian | Data is updating | 2 |
Hispanic | Data is updating | 5 |
Two or More Races | 5 | 3 |
American Indian | Data is updating | 1 |
Demographics Comparison: Ellettsville vs Florence
- In Florence, the percentage of Black residents is higher at 2% compared to 1% in Ellettsville.
- Ellettsville has a higher percentage of White residents at 94% compared to 87% in Florence.
- In Florence, the Asian population stands at 2%, greater than 0% in Ellettsville.
- Florence has a higher percentage of Hispanic residents at 5%, compared to 0% in Ellettsville.
- More residents identify as two or more races in Ellettsville at 5% compared to 3% in Florence.
- In Florence, the percentage of American Indian residents is higher at 1%, compared to 0% in Ellettsville.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Ellettsville | Florence |
---|---|---|
Mental Health Not Good | 16.8% | 19.8% |
Physical Health Not Good | 10.6% | 13.1% |
Depression | 27.3% | 29.2% |
Smoking | 16.1% | 16.7% |
Binge Drinking | 19.1% | 17.0% |
Obesity | 32.7% | 36.0% |
Disability Percentage | 14.0% | 25.0% |
Health Statistics Comparison: Ellettsville vs Florence
- In Florence, a higher percentage report poor mental health at 19.8% compared to 16.8% in Ellettsville.
- Higher depression rates are seen in Florence at 29.2% versus 27.3% in Ellettsville.
- Florence has a higher smoking rate at 16.7% compared to 16.1% in Ellettsville.
- Binge drinking is more common in Ellettsville at 19.1% compared to 17.0% in Florence.
- Florence has higher obesity rates at 36.0% compared to 32.7% in Ellettsville.
- There is a higher percentage of disabled individuals in Florence at 25.0% compared to 14.0% in Ellettsville.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Ellettsville | Florence |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.4% (35) |
High School Diploma | 11.4% (760) | 14.2% (1,331) |
Less than High School | 3.5% (234) | 15.6% (1,467) |
Bachelor's Degree and Higher | 24.8% (1,650) | 19.9% (1,865) |
Education Levels Comparison: Ellettsville vs Florence
- In Florence, a larger percentage of residents lack formal schooling at 0.4% compared to 0.0% in Ellettsville.
- In Florence, the rate of residents with high school diplomas is higher at 14.2% compared to 11.4% in Ellettsville.
- The percentage of residents with less than a high school education is higher in Florence at 15.6%, compared to 3.5% in Ellettsville.
- A higher percentage of residents in Ellettsville hold a bachelor's degree or higher at 24.8% compared to 19.9% in Florence.
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.