Demographics details for Underwood, ND vs Manhattan, KS
Population Overview
Compare main population characteristics in Underwood, ND vs Manhattan, KS.
| Data | Underwood | Manhattan |
|---|---|---|
| Population | 780 | 53,829 |
| Median Age | 47.3 years | 24.7 years |
| Median Income | $72,917 | $55,316 |
| Married Families | 51.0% | 29.0% |
| Poverty Level | Data is updating | 15% |
| Unemployment Rate | 2.5 | 3.8 |
Population Comparison: Underwood vs Manhattan
- The population in Manhattan is higher at 53,829, compared to 780 in Underwood.
- Residents in Underwood have a higher median age of 47.3 years compared to 24.7 years in Manhattan.
- Underwood has a higher median income of $72,917 compared to $55,316 in Manhattan.
- A higher percentage of married families is found in Underwood at 51.0% compared to 29.0% in Manhattan.
- The poverty level is higher in Manhattan at 15%, compared to 0% in Underwood.
- Manhattan has a higher unemployment rate at 3.8% compared to 2.5% in Underwood.
Demographics
Demographics Underwood vs Manhattan provide insight into the diversity of the communities to compare.
| Demographic | Underwood | Manhattan |
|---|---|---|
| Black | 1 | 5 |
| White | 87 | 74 |
| Asian | 3 | 5 |
| Hispanic | 1 | 8 |
| Two or More Races | 6 | 7 |
| American Indian | 2 | 1 |
Demographics Comparison: Underwood vs Manhattan
- In Manhattan, the percentage of Black residents is higher at 5% compared to 1% in Underwood.
- Underwood has a higher percentage of White residents at 87% compared to 74% in Manhattan.
- In Manhattan, the Asian population stands at 5%, greater than 3% in Underwood.
- Manhattan has a higher percentage of Hispanic residents at 8%, compared to 1% in Underwood.
- The percentage of residents identifying as two or more races is higher in Manhattan at 7%, compared to 6% in Underwood.
- A greater percentage of American Indian residents live in Underwood at 2% compared to 1% in Manhattan.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Underwood | Manhattan |
|---|---|---|
| Mental Health Not Good | 12.8% | 15.7% |
| Physical Health Not Good | 8.8% | 10.1% |
| Depression | 17.5% | 20.2% |
| Smoking | 16.1% | 16.0% |
| Binge Drinking | 22.7% | 20.6% |
| Obesity | 40.0% | 32.2% |
| Disability Percentage | 10.0% | 12.0% |
Health Statistics Comparison: Underwood vs Manhattan
- In Manhattan, a higher percentage report poor mental health at 15.7% compared to 12.8% in Underwood.
- Higher depression rates are seen in Manhattan at 20.2% versus 17.5% in Underwood.
- Smoking is more prevalent in Underwood at 16.1% compared to 16.0% in Manhattan.
- Binge drinking is more common in Underwood at 22.7% compared to 20.6% in Manhattan.
- Obesity rates are higher in Underwood at 40.0% compared to 32.2% in Manhattan.
- There is a higher percentage of disabled individuals in Manhattan at 12.0% compared to 10.0% in Underwood.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Underwood | Manhattan |
|---|---|---|
| No Schooling | 0.1% (1) | 0.5% (256) |
| High School Diploma | 19.1% (149) | 5.8% (3,138) |
| Less than High School | 8.6% (67) | 4.2% (2,256) |
| Bachelor's Degree and Higher | 13.1% (102) | 26.0% (14,017) |
Education Levels Comparison: Underwood vs Manhattan
- In Manhattan, a larger percentage of residents lack formal schooling at 0.5% compared to 0.1% in Underwood.
- A higher percentage of residents in Underwood hold a high school diploma at 19.1% compared to 5.8% in Manhattan.
- More residents in Underwood have less than a high school education at 8.6% compared to 4.2% in Manhattan.
- In Manhattan, a larger share of residents have a bachelor's degree or higher at 26.0% compared to 13.1% in Underwood.
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.