Demographics details for Charleston, IL vs Winona lake, IN
Population Overview
Compare main population characteristics in Charleston, IL vs Winona lake, IN.
| Data | Charleston | Winona lake |
|---|---|---|
| Population | 17,119 | 5,106 |
| Median Age | 29.4 years | 28.9 years |
| Median Income | $47,533 | $77,305 |
| Married Families | 32.0% | 36.0% |
| Poverty Level | 15% | 5% |
| Unemployment Rate | 5.3 | 2.5 |
Population Comparison: Charleston vs Winona lake
- In Charleston, the population is higher at 17,119, compared to 5,106 in Winona lake.
- Residents in Charleston have a higher median age of 29.4 years compared to 28.9 years in Winona lake.
- Winona lake has a higher median income of $77,305, compared to $47,533 in Charleston.
- In Winona lake, the percentage of married families is higher at 36.0%, compared to 32.0% in Charleston.
- Charleston has a higher poverty level at 15% compared to 5% in Winona lake.
- The unemployment rate in Charleston is higher at 5.3%, compared to 2.5% in Winona lake.
Demographics
Demographics Charleston vs Winona lake provide insight into the diversity of the communities to compare.
| Demographic | Charleston | Winona lake |
|---|---|---|
| Black | 8 | 1 |
| White | 83 | 79 |
| Asian | 2 | 1 |
| Hispanic | 4 | 14 |
| Two or More Races | 3 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Charleston vs Winona lake
- A higher percentage of Black residents are in Charleston at 8% compared to 1% in Winona lake.
- Charleston has a higher percentage of White residents at 83% compared to 79% in Winona lake.
- The Asian population is larger in Charleston at 2% compared to 1% in Winona lake.
- Winona lake has a higher percentage of Hispanic residents at 14%, compared to 4% in Charleston.
- The percentage of residents identifying as two or more races is higher in Winona lake at 5%, compared to 3% in Charleston.
- The percentage of American Indian residents is the same in both Charleston and Winona lake at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Charleston | Winona lake |
|---|---|---|
| Mental Health Not Good | 17.9% | 15.7% |
| Physical Health Not Good | 12.5% | 9.8% |
| Depression | 24.2% | 24.7% |
| Smoking | 20.0% | 16.3% |
| Binge Drinking | 16.4% | 18.1% |
| Obesity | 36.5% | 35.6% |
| Disability Percentage | 18.0% | 8.0% |
Health Statistics Comparison: Charleston vs Winona lake
- More residents in Charleston report poor mental health at 17.9% compared to 15.7% in Winona lake.
- Higher depression rates are seen in Winona lake at 24.7% versus 24.2% in Charleston.
- Smoking is more prevalent in Charleston at 20.0% compared to 16.3% in Winona lake.
- More residents engage in binge drinking in Winona lake at 18.1% compared to 16.4% in Charleston.
- Obesity rates are higher in Charleston at 36.5% compared to 35.6% in Winona lake.
- Disability percentages are higher in Charleston at 18.0% compared to 8.0% in Winona lake.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Charleston | Winona lake |
|---|---|---|
| No Schooling | 0.4% (68) | 0.3% (17) |
| High School Diploma | 13.6% (2,331) | 9.5% (483) |
| Less than High School | 8.1% (1,387) | 4.0% (205) |
| Bachelor's Degree and Higher | 19.3% (3,307) | 32.4% (1,654) |
Education Levels Comparison: Charleston vs Winona lake
- A higher percentage of residents in Charleston have no formal schooling at 0.4% compared to 0.3% in Winona lake.
- A higher percentage of residents in Charleston hold a high school diploma at 13.6% compared to 9.5% in Winona lake.
- More residents in Charleston have less than a high school education at 8.1% compared to 4.0% in Winona lake.
- In Winona lake, a larger share of residents have a bachelor's degree or higher at 32.4% compared to 19.3% in Charleston.
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.