Demographics details for Manhattan, KS vs Shelbina, MO
Population Overview
Compare main population characteristics in Manhattan, KS vs Shelbina, MO.
| Data | Manhattan | Shelbina |
|---|---|---|
| Population | 53,829 | 1,582 |
| Median Age | 24.7 years | 37.6 years |
| Median Income | $55,316 | $52,050 |
| Married Families | 29.0% | 51.0% |
| Poverty Level | 15% | 11% |
| Unemployment Rate | 3.8 | 3.5 |
Population Comparison: Manhattan vs Shelbina
- In Manhattan, the population is higher at 53,829, compared to 1,582 in Shelbina.
- The median age in Shelbina is higher at 37.6 years, compared to 24.7 years in Manhattan.
- Manhattan has a higher median income of $55,316 compared to $52,050 in Shelbina.
- In Shelbina, the percentage of married families is higher at 51.0%, compared to 29.0% in Manhattan.
- Manhattan has a higher poverty level at 15% compared to 11% in Shelbina.
- The unemployment rate in Manhattan is higher at 3.8%, compared to 3.5% in Shelbina.
Demographics
Demographics Manhattan vs Shelbina provide insight into the diversity of the communities to compare.
| Demographic | Manhattan | Shelbina |
|---|---|---|
| Black | 5 | 5 |
| White | 74 | 89 |
| Asian | 5 | Data is updating |
| Hispanic | 8 | 3 |
| Two or More Races | 7 | 1 |
| American Indian | 1 | 2 |
Demographics Comparison: Manhattan vs Shelbina
- The percentage of Black residents is the same in both Manhattan and Shelbina at 5%.
- The percentage of White residents is higher in Shelbina at 89% compared to 74% in Manhattan.
- The Asian population is larger in Manhattan at 5% compared to 0% in Shelbina.
- The Hispanic community is larger in Manhattan at 8% compared to 3% in Shelbina.
- More residents identify as two or more races in Manhattan at 7% compared to 1% in Shelbina.
- In Shelbina, the percentage of American Indian residents is higher at 2%, compared to 1% in Manhattan.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Manhattan | Shelbina |
|---|---|---|
| Mental Health Not Good | 15.7% | 19.2% |
| Physical Health Not Good | 10.1% | 14.0% |
| Depression | 20.2% | 26.4% |
| Smoking | 16.0% | 23.4% |
| Binge Drinking | 20.6% | 17.6% |
| Obesity | 32.2% | 39.6% |
| Disability Percentage | 12.0% | 20.0% |
Health Statistics Comparison: Manhattan vs Shelbina
- In Shelbina, a higher percentage report poor mental health at 19.2% compared to 15.7% in Manhattan.
- Higher depression rates are seen in Shelbina at 26.4% versus 20.2% in Manhattan.
- Shelbina has a higher smoking rate at 23.4% compared to 16.0% in Manhattan.
- Binge drinking is more common in Manhattan at 20.6% compared to 17.6% in Shelbina.
- Shelbina has higher obesity rates at 39.6% compared to 32.2% in Manhattan.
- There is a higher percentage of disabled individuals in Shelbina at 20.0% 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 | Shelbina |
|---|---|---|
| No Schooling | 0.5% (256) | 0.2% (3) |
| High School Diploma | 5.8% (3,138) | 31.1% (492) |
| Less than High School | 4.2% (2,256) | 17.6% (279) |
| Bachelor's Degree and Higher | 26.0% (14,017) | 14.2% (225) |
Education Levels Comparison: Manhattan vs Shelbina
- A higher percentage of residents in Manhattan have no formal schooling at 0.5% compared to 0.2% in Shelbina.
- In Shelbina, the rate of residents with high school diplomas is higher at 31.1% compared to 5.8% in Manhattan.
- The percentage of residents with less than a high school education is higher in Shelbina at 17.6%, 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 14.2% in Shelbina.
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.