Demographics details for Manhattan, KS vs Cullom, IL
Population Overview
Compare main population characteristics in Manhattan, KS vs Cullom, IL.
| Data | Manhattan | Cullom |
|---|---|---|
| Population | 53,829 | 511 |
| Median Age | 24.7 years | 41.6 years |
| Median Income | $55,316 | $58,472 |
| Married Families | 29.0% | 35.0% |
| Poverty Level | 15% | 9% |
| Unemployment Rate | 3.8 | 3.5 |
Population Comparison: Manhattan vs Cullom
- In Manhattan, the population is higher at 53,829, compared to 511 in Cullom.
- The median age in Cullom is higher at 41.6 years, compared to 24.7 years in Manhattan.
- Cullom has a higher median income of $58,472, compared to $55,316 in Manhattan.
- In Cullom, the percentage of married families is higher at 35.0%, compared to 29.0% in Manhattan.
- Manhattan has a higher poverty level at 15% compared to 9% in Cullom.
- The unemployment rate in Manhattan is higher at 3.8%, compared to 3.5% in Cullom.
Demographics
Demographics Manhattan vs Cullom provide insight into the diversity of the communities to compare.
| Demographic | Manhattan | Cullom |
|---|---|---|
| Black | 5 | Data is updating |
| White | 74 | 82 |
| Asian | 5 | Data is updating |
| Hispanic | 8 | 11 |
| Two or More Races | 7 | 7 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Manhattan vs Cullom
- A higher percentage of Black residents are in Manhattan at 5% compared to 0% in Cullom.
- The percentage of White residents is higher in Cullom at 82% compared to 74% in Manhattan.
- The Asian population is larger in Manhattan at 5% compared to 0% in Cullom.
- Cullom has a higher percentage of Hispanic residents at 11%, compared to 8% in Manhattan.
- Both Manhattan and Cullom have the same percentage of residents identifying as two or more races at 7%.
- A greater percentage of American Indian residents live in Manhattan at 1% compared to 0% in Cullom.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Manhattan | Cullom |
|---|---|---|
| Mental Health Not Good | 15.7% | 17.2% |
| Physical Health Not Good | 10.1% | 11.6% |
| Depression | 20.2% | 23.0% |
| Smoking | 16.0% | 18.7% |
| Binge Drinking | 20.6% | 17.9% |
| Obesity | 32.2% | 38.7% |
| Disability Percentage | 12.0% | 23.0% |
Health Statistics Comparison: Manhattan vs Cullom
- In Cullom, a higher percentage report poor mental health at 17.2% compared to 15.7% in Manhattan.
- Higher depression rates are seen in Cullom at 23.0% versus 20.2% in Manhattan.
- Cullom has a higher smoking rate at 18.7% compared to 16.0% in Manhattan.
- Binge drinking is more common in Manhattan at 20.6% compared to 17.9% in Cullom.
- Cullom has higher obesity rates at 38.7% compared to 32.2% in Manhattan.
- There is a higher percentage of disabled individuals in Cullom at 23.0% 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 | Cullom |
|---|---|---|
| No Schooling | 0.5% (256) | 2.2% (11) |
| High School Diploma | 5.8% (3,138) | 19.0% (97) |
| Less than High School | 4.2% (2,256) | 11.4% (58) |
| Bachelor's Degree and Higher | 26.0% (14,017) | 9.4% (48) |
Education Levels Comparison: Manhattan vs Cullom
- In Cullom, a larger percentage of residents lack formal schooling at 2.2% compared to 0.5% in Manhattan.
- In Cullom, the rate of residents with high school diplomas is higher at 19.0% compared to 5.8% in Manhattan.
- The percentage of residents with less than a high school education is higher in Cullom at 11.4%, 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 9.4% in Cullom.
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.