Demographics details for Manhattan, KS vs Springfield, IL
Population Overview
Compare main population characteristics in Manhattan, KS vs Springfield, IL.
| Data | Manhattan | Springfield |
|---|---|---|
| Population | 53,829 | 113,273 |
| Median Age | 24.7 years | 40.1 years |
| Median Income | $55,316 | $62,419 |
| Married Families | 29.0% | 33.0% |
| Poverty Level | 15% | 12% |
| Unemployment Rate | 3.8 | 5.8 |
Population Comparison: Manhattan vs Springfield
- The population in Springfield is higher at 113,273, compared to 53,829 in Manhattan.
- The median age in Springfield is higher at 40.1 years, compared to 24.7 years in Manhattan.
- Springfield has a higher median income of $62,419, compared to $55,316 in Manhattan.
- In Springfield, the percentage of married families is higher at 33.0%, compared to 29.0% in Manhattan.
- Manhattan has a higher poverty level at 15% compared to 12% in Springfield.
- Springfield has a higher unemployment rate at 5.8% compared to 3.8% in Manhattan.
Demographics
Demographics Manhattan vs Springfield provide insight into the diversity of the communities to compare.
| Demographic | Manhattan | Springfield |
|---|---|---|
| Black | 5 | 20 |
| White | 74 | 69 |
| Asian | 5 | 3 |
| Hispanic | 8 | 3 |
| Two or More Races | 7 | 5 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Manhattan vs Springfield
- In Springfield, the percentage of Black residents is higher at 20% compared to 5% in Manhattan.
- Manhattan has a higher percentage of White residents at 74% compared to 69% in Springfield.
- The Asian population is larger in Manhattan at 5% compared to 3% in Springfield.
- The Hispanic community is larger in Manhattan at 8% compared to 3% in Springfield.
- More residents identify as two or more races in Manhattan at 7% compared to 5% in Springfield.
- A greater percentage of American Indian residents live in Manhattan at 1% compared to 0% in Springfield.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Manhattan | Springfield |
|---|---|---|
| Mental Health Not Good | 15.7% | 16.3% |
| Physical Health Not Good | 10.1% | 11.5% |
| Depression | 20.2% | 21.5% |
| Smoking | 16.0% | 17.8% |
| Binge Drinking | 20.6% | 17.4% |
| Obesity | 32.2% | 36.1% |
| Disability Percentage | 12.0% | 15.0% |
Health Statistics Comparison: Manhattan vs Springfield
- In Springfield, a higher percentage report poor mental health at 16.3% compared to 15.7% in Manhattan.
- Higher depression rates are seen in Springfield at 21.5% versus 20.2% in Manhattan.
- Springfield has a higher smoking rate at 17.8% compared to 16.0% in Manhattan.
- Binge drinking is more common in Manhattan at 20.6% compared to 17.4% in Springfield.
- Springfield has higher obesity rates at 36.1% compared to 32.2% in Manhattan.
- There is a higher percentage of disabled individuals in Springfield at 15.0% compared to 12.0% in Manhattan.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Manhattan | Springfield |
|---|---|---|
| No Schooling | 0.5% (256) | 0.5% (542) |
| High School Diploma | 5.8% (3,138) | 16.4% (18,528) |
| Less than High School | 4.2% (2,256) | 8.9% (10,102) |
| Bachelor's Degree and Higher | 26.0% (14,017) | 24.4% (27,677) |
Education Levels Comparison: Manhattan vs Springfield
- The percentage of residents with no formal schooling is the same in both Manhattan and Springfield at 0.5%.
- In Springfield, the rate of residents with high school diplomas is higher at 16.4% compared to 5.8% in Manhattan.
- The percentage of residents with less than a high school education is higher in Springfield at 8.9%, compared to 4.2% in Manhattan.
- A higher percentage of residents in Manhattan hold a bachelor's degree or higher at 26.0% 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.