Demographics details for Manhattan, KS vs Indianola, IA
Population Overview
Compare main population characteristics in Manhattan, KS vs Indianola, IA.
| Data | Manhattan | Indianola |
|---|---|---|
| Population | 53,829 | 16,069 |
| Median Age | 24.7 years | 34.7 years |
| Median Income | $55,316 | $73,534 |
| Married Families | 29.0% | 37.0% |
| Poverty Level | 15% | 7% |
| Unemployment Rate | 3.8 | 3.2 |
Population Comparison: Manhattan vs Indianola
- In Manhattan, the population is higher at 53,829, compared to 16,069 in Indianola.
- The median age in Indianola is higher at 34.7 years, compared to 24.7 years in Manhattan.
- Indianola has a higher median income of $73,534, compared to $55,316 in Manhattan.
- In Indianola, the percentage of married families is higher at 37.0%, compared to 29.0% in Manhattan.
- Manhattan has a higher poverty level at 15% compared to 7% in Indianola.
- The unemployment rate in Manhattan is higher at 3.8%, compared to 3.2% in Indianola.
Demographics
Demographics Manhattan vs Indianola provide insight into the diversity of the communities to compare.
| Demographic | Manhattan | Indianola |
|---|---|---|
| Black | 5 | 1 |
| White | 74 | 91 |
| Asian | 5 | 2 |
| Hispanic | 8 | 2 |
| Two or More Races | 7 | 4 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Manhattan vs Indianola
- A higher percentage of Black residents are in Manhattan at 5% compared to 1% in Indianola.
- The percentage of White residents is higher in Indianola at 91% compared to 74% in Manhattan.
- The Asian population is larger in Manhattan at 5% compared to 2% in Indianola.
- The Hispanic community is larger in Manhattan at 8% compared to 2% in Indianola.
- More residents identify as two or more races in Manhattan at 7% compared to 4% in Indianola.
- A greater percentage of American Indian residents live in Manhattan at 1% compared to 0% in Indianola.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Manhattan | Indianola |
|---|---|---|
| Mental Health Not Good | 15.7% | 15.7% |
| Physical Health Not Good | 10.1% | 9.7% |
| Depression | 20.2% | 19.0% |
| Smoking | 16.0% | 16.5% |
| Binge Drinking | 20.6% | 21.4% |
| Obesity | 32.2% | 39.2% |
| Disability Percentage | 12.0% | 12.0% |
Health Statistics Comparison: Manhattan vs Indianola
- Poor mental health levels are equal in both Manhattan and Indianola at 15.7%.
- Depression is more prevalent in Manhattan at 20.2% compared to 19.0% in Indianola.
- Indianola has a higher smoking rate at 16.5% compared to 16.0% in Manhattan.
- More residents engage in binge drinking in Indianola at 21.4% compared to 20.6% in Manhattan.
- Indianola has higher obesity rates at 39.2% compared to 32.2% in Manhattan.
- Disability percentages are the same in both Manhattan and Indianola at 12.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Manhattan | Indianola |
|---|---|---|
| No Schooling | 0.5% (256) | 0.3% (43) |
| High School Diploma | 5.8% (3,138) | 14.5% (2,326) |
| Less than High School | 4.2% (2,256) | 3.5% (566) |
| Bachelor's Degree and Higher | 26.0% (14,017) | 20.0% (3,217) |
Education Levels Comparison: Manhattan vs Indianola
- A higher percentage of residents in Manhattan have no formal schooling at 0.5% compared to 0.3% in Indianola.
- In Indianola, the rate of residents with high school diplomas is higher at 14.5% compared to 5.8% in Manhattan.
- More residents in Manhattan have less than a high school education at 4.2% compared to 3.5% in Indianola.
- A higher percentage of residents in Manhattan hold a bachelor's degree or higher at 26.0% compared to 20.0% in Indianola.
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.