Demographics details for Manhattan, KS vs Riverton, UT
Population Overview
Compare main population characteristics in Manhattan, KS vs Riverton, UT.
| Data | Manhattan | Riverton |
|---|---|---|
| Population | 53,829 | 44,599 |
| Median Age | 24.7 years | 33.4 years |
| Median Income | $55,316 | $115,869 |
| Married Families | 29.0% | 46.0% |
| Poverty Level | 15% | 6% |
| Unemployment Rate | 3.8 | 3.3 |
Population Comparison: Manhattan vs Riverton
- In Manhattan, the population is higher at 53,829, compared to 44,599 in Riverton.
- The median age in Riverton is higher at 33.4 years, compared to 24.7 years in Manhattan.
- Riverton has a higher median income of $115,869, compared to $55,316 in Manhattan.
- In Riverton, the percentage of married families is higher at 46.0%, compared to 29.0% in Manhattan.
- Manhattan has a higher poverty level at 15% compared to 6% in Riverton.
- The unemployment rate in Manhattan is higher at 3.8%, compared to 3.3% in Riverton.
Demographics
Demographics Manhattan vs Riverton provide insight into the diversity of the communities to compare.
| Demographic | Manhattan | Riverton |
|---|---|---|
| Black | 5 | Data is updating |
| White | 74 | 81 |
| Asian | 5 | 3 |
| Hispanic | 8 | 11 |
| Two or More Races | 7 | 4 |
| American Indian | 1 | 1 |
Demographics Comparison: Manhattan vs Riverton
- A higher percentage of Black residents are in Manhattan at 5% compared to 0% in Riverton.
- The percentage of White residents is higher in Riverton at 81% compared to 74% in Manhattan.
- The Asian population is larger in Manhattan at 5% compared to 3% in Riverton.
- Riverton has a higher percentage of Hispanic residents at 11%, compared to 8% in Manhattan.
- More residents identify as two or more races in Manhattan at 7% compared to 4% in Riverton.
- The percentage of American Indian residents is the same in both Manhattan and Riverton at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Manhattan | Riverton |
|---|---|---|
| Mental Health Not Good | 15.7% | 17.2% |
| Physical Health Not Good | 10.1% | 9.3% |
| Depression | 20.2% | 27.1% |
| Smoking | 16.0% | 7.9% |
| Binge Drinking | 20.6% | 17.0% |
| Obesity | 32.2% | 28.9% |
| Disability Percentage | 12.0% | 8.0% |
Health Statistics Comparison: Manhattan vs Riverton
- In Riverton, a higher percentage report poor mental health at 17.2% compared to 15.7% in Manhattan.
- Higher depression rates are seen in Riverton at 27.1% versus 20.2% in Manhattan.
- Smoking is more prevalent in Manhattan at 16.0% compared to 7.9% in Riverton.
- Binge drinking is more common in Manhattan at 20.6% compared to 17.0% in Riverton.
- Obesity rates are higher in Manhattan at 32.2% compared to 28.9% in Riverton.
- Disability percentages are higher in Manhattan at 12.0% compared to 8.0% in Riverton.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Manhattan | Riverton |
|---|---|---|
| No Schooling | 0.5% (256) | 1.2% (526) |
| High School Diploma | 5.8% (3,138) | 11.3% (5,043) |
| Less than High School | 4.2% (2,256) | 9.0% (4,024) |
| Bachelor's Degree and Higher | 26.0% (14,017) | 22.8% (10,164) |
Education Levels Comparison: Manhattan vs Riverton
- In Riverton, a larger percentage of residents lack formal schooling at 1.2% compared to 0.5% in Manhattan.
- In Riverton, the rate of residents with high school diplomas is higher at 11.3% compared to 5.8% in Manhattan.
- The percentage of residents with less than a high school education is higher in Riverton at 9.0%, 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 22.8% in Riverton.
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.