Demographics details for Springfield, IL vs Winona lake, IN
Population Overview
Compare main population characteristics in Springfield, IL vs Winona lake, IN.
Data | Springfield | Winona lake |
---|---|---|
Population | 113,273 | 5,106 |
Median Age | 40.1 years | 28.9 years |
Median Income | $62,419 | $77,305 |
Married Families | 33.0% | 36.0% |
Poverty Level | 12% | 5% |
Unemployment Rate | 5.8 | 2.5 |
Population Comparison: Springfield vs Winona lake
- In Springfield, the population is higher at 113,273, compared to 5,106 in Winona lake.
- Residents in Springfield have a higher median age of 40.1 years compared to 28.9 years in Winona lake.
- Winona lake has a higher median income of $77,305, compared to $62,419 in Springfield.
- In Winona lake, the percentage of married families is higher at 36.0%, compared to 33.0% in Springfield.
- Springfield has a higher poverty level at 12% compared to 5% in Winona lake.
- The unemployment rate in Springfield is higher at 5.8%, compared to 2.5% in Winona lake.
Demographics
Demographics Springfield vs Winona lake provide insight into the diversity of the communities to compare.
Demographic | Springfield | Winona lake |
---|---|---|
Black | 20 | 1 |
White | 69 | 79 |
Asian | 3 | 1 |
Hispanic | 3 | 14 |
Two or More Races | 5 | 5 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Springfield vs Winona lake
- A higher percentage of Black residents are in Springfield at 20% compared to 1% in Winona lake.
- The percentage of White residents is higher in Winona lake at 79% compared to 69% in Springfield.
- The Asian population is larger in Springfield at 3% compared to 1% in Winona lake.
- Winona lake has a higher percentage of Hispanic residents at 14%, compared to 3% in Springfield.
- Both Springfield and Winona lake have the same percentage of residents identifying as two or more races at 5%.
- The percentage of American Indian residents is the same in both Springfield and Winona lake at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Springfield | Winona lake |
---|---|---|
Mental Health Not Good | 16.3% | 15.7% |
Physical Health Not Good | 11.5% | 9.8% |
Depression | 21.5% | 24.7% |
Smoking | 17.8% | 16.3% |
Binge Drinking | 17.4% | 18.1% |
Obesity | 36.1% | 35.6% |
Disability Percentage | 15.0% | 8.0% |
Health Statistics Comparison: Springfield vs Winona lake
- More residents in Springfield report poor mental health at 16.3% compared to 15.7% in Winona lake.
- Higher depression rates are seen in Winona lake at 24.7% versus 21.5% in Springfield.
- Smoking is more prevalent in Springfield at 17.8% compared to 16.3% in Winona lake.
- More residents engage in binge drinking in Winona lake at 18.1% compared to 17.4% in Springfield.
- Obesity rates are higher in Springfield at 36.1% compared to 35.6% in Winona lake.
- Disability percentages are higher in Springfield at 15.0% 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 | Springfield | Winona lake |
---|---|---|
No Schooling | 0.5% (542) | 0.3% (17) |
High School Diploma | 16.4% (18,528) | 9.5% (483) |
Less than High School | 8.9% (10,102) | 4.0% (205) |
Bachelor's Degree and Higher | 24.4% (27,677) | 32.4% (1,654) |
Education Levels Comparison: Springfield vs Winona lake
- A higher percentage of residents in Springfield have no formal schooling at 0.5% compared to 0.3% in Winona lake.
- A higher percentage of residents in Springfield hold a high school diploma at 16.4% compared to 9.5% in Winona lake.
- More residents in Springfield have less than a high school education at 8.9% 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 24.4% in Springfield.
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.