Demographics details for Ellsworth, WI vs Crescent, PA
Population Overview
Compare main population characteristics in Ellsworth, WI vs Crescent, PA.
| Data | Ellsworth | Crescent |
|---|---|---|
| Population | 3,306 | 2,455 |
| Median Age | 41.8 years | 50.8 years |
| Median Income | $72,326 | $76,116 |
| Married Families | 38.0% | 49.0% |
| Poverty Level | 9% | 4% |
| Unemployment Rate | 3.0 | 3.5 |
Population Comparison: Ellsworth vs Crescent
- In Ellsworth, the population is higher at 3,306, compared to 2,455 in Crescent.
- The median age in Crescent is higher at 50.8 years, compared to 41.8 years in Ellsworth.
- Crescent has a higher median income of $76,116, compared to $72,326 in Ellsworth.
- In Crescent, the percentage of married families is higher at 49.0%, compared to 38.0% in Ellsworth.
- Ellsworth has a higher poverty level at 9% compared to 4% in Crescent.
- Crescent has a higher unemployment rate at 3.5% compared to 3.0% in Ellsworth.
Demographics
Demographics Ellsworth vs Crescent provide insight into the diversity of the communities to compare.
| Demographic | Ellsworth | Crescent |
|---|---|---|
| Black | 1 | 1 |
| White | 85 | 92 |
| Asian | Data is updating | 3 |
| Hispanic | 5 | 3 |
| Two or More Races | 9 | 1 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Ellsworth vs Crescent
- The percentage of Black residents is the same in both Ellsworth and Crescent at 1%.
- The percentage of White residents is higher in Crescent at 92% compared to 85% in Ellsworth.
- In Crescent, the Asian population stands at 3%, greater than 0% in Ellsworth.
- The Hispanic community is larger in Ellsworth at 5% compared to 3% in Crescent.
- More residents identify as two or more races in Ellsworth at 9% compared to 1% in Crescent.
- The percentage of American Indian residents is the same in both Ellsworth and Crescent at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Ellsworth | Crescent |
|---|---|---|
| Mental Health Not Good | 14.4% | Data is updating% |
| Physical Health Not Good | 9.2% | Data is updating% |
| Depression | 22.9% | Data is updating% |
| Smoking | 15.1% | Data is updating% |
| Binge Drinking | 25.6% | Data is updating% |
| Obesity | 34.1% | Data is updating% |
| Disability Percentage | 14.0% | 13.0% |
Health Statistics Comparison: Ellsworth vs Crescent
- More residents in Ellsworth report poor mental health at 14.4% compared to 0.0% in Crescent.
- Depression is more prevalent in Ellsworth at 22.9% compared to 0.0% in Crescent.
- Smoking is more prevalent in Ellsworth at 15.1% compared to 0.0% in Crescent.
- Binge drinking is more common in Ellsworth at 25.6% compared to 0.0% in Crescent.
- Obesity rates are higher in Ellsworth at 34.1% compared to 0.0% in Crescent.
- Disability percentages are higher in Ellsworth at 14.0% compared to 13.0% in Crescent.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Ellsworth | Crescent |
|---|---|---|
| No Schooling | 0.3% (9) | 1.1% (27) |
| High School Diploma | 21.3% (705) | 18.3% (449) |
| Less than High School | 13.8% (456) | 10.8% (264) |
| Bachelor's Degree and Higher | 12.6% (416) | 19.8% (487) |
Education Levels Comparison: Ellsworth vs Crescent
- In Crescent, a larger percentage of residents lack formal schooling at 1.1% compared to 0.3% in Ellsworth.
- A higher percentage of residents in Ellsworth hold a high school diploma at 21.3% compared to 18.3% in Crescent.
- More residents in Ellsworth have less than a high school education at 13.8% compared to 10.8% in Crescent.
- In Crescent, a larger share of residents have a bachelor's degree or higher at 19.8% compared to 12.6% in Ellsworth.
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.