Demographics details for Manhattan, KS vs Siloam springs, AR
Population Overview
Compare main population characteristics in Manhattan, KS vs Siloam springs, AR.
Data | Manhattan | Siloam springs |
---|---|---|
Population | 53,829 | 18,654 |
Median Age | 24.7 years | 30.1 years |
Median Income | $55,316 | $59,911 |
Married Families | 29.0% | 38.0% |
Poverty Level | 15% | 13% |
Unemployment Rate | 3.8 | 3.5 |
Population Comparison: Manhattan vs Siloam springs
- In Manhattan, the population is higher at 53,829, compared to 18,654 in Siloam springs.
- The median age in Siloam springs is higher at 30.1 years, compared to 24.7 years in Manhattan.
- Siloam springs has a higher median income of $59,911, compared to $55,316 in Manhattan.
- In Siloam springs, the percentage of married families is higher at 38.0%, compared to 29.0% in Manhattan.
- Manhattan has a higher poverty level at 15% compared to 13% in Siloam springs.
- The unemployment rate in Manhattan is higher at 3.8%, compared to 3.5% in Siloam springs.
Demographics
Demographics Manhattan vs Siloam springs provide insight into the diversity of the communities to compare.
Demographic | Manhattan | Siloam springs |
---|---|---|
Black | 5 | 1 |
White | 74 | 50 |
Asian | 5 | 3 |
Hispanic | 8 | 23 |
Two or More Races | 7 | 20 |
American Indian | 1 | 3 |
Demographics Comparison: Manhattan vs Siloam springs
- A higher percentage of Black residents are in Manhattan at 5% compared to 1% in Siloam springs.
- Manhattan has a higher percentage of White residents at 74% compared to 50% in Siloam springs.
- The Asian population is larger in Manhattan at 5% compared to 3% in Siloam springs.
- Siloam springs has a higher percentage of Hispanic residents at 23%, compared to 8% in Manhattan.
- The percentage of residents identifying as two or more races is higher in Siloam springs at 20%, compared to 7% in Manhattan.
- In Siloam springs, the percentage of American Indian residents is higher at 3%, compared to 1% in Manhattan.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Manhattan | Siloam springs |
---|---|---|
Mental Health Not Good | 15.7% | 20.0% |
Physical Health Not Good | 10.1% | 15.0% |
Depression | 20.2% | 26.0% |
Smoking | 16.0% | 21.6% |
Binge Drinking | 20.6% | 14.9% |
Obesity | 32.2% | 39.2% |
Disability Percentage | 12.0% | 13.0% |
Health Statistics Comparison: Manhattan vs Siloam springs
- In Siloam springs, a higher percentage report poor mental health at 20.0% compared to 15.7% in Manhattan.
- Higher depression rates are seen in Siloam springs at 26.0% versus 20.2% in Manhattan.
- Siloam springs has a higher smoking rate at 21.6% compared to 16.0% in Manhattan.
- Binge drinking is more common in Manhattan at 20.6% compared to 14.9% in Siloam springs.
- Siloam springs has higher obesity rates at 39.2% compared to 32.2% in Manhattan.
- There is a higher percentage of disabled individuals in Siloam springs at 13.0% 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 | Siloam springs |
---|---|---|
No Schooling | 0.5% (256) | 3.7% (681) |
High School Diploma | 5.8% (3,138) | 13.5% (2,510) |
Less than High School | 4.2% (2,256) | 17.4% (3,249) |
Bachelor's Degree and Higher | 26.0% (14,017) | 14.4% (2,680) |
Education Levels Comparison: Manhattan vs Siloam springs
- In Siloam springs, a larger percentage of residents lack formal schooling at 3.7% compared to 0.5% in Manhattan.
- In Siloam springs, the rate of residents with high school diplomas is higher at 13.5% compared to 5.8% in Manhattan.
- The percentage of residents with less than a high school education is higher in Siloam springs at 17.4%, 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 14.4% in Siloam springs.
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.