Demographics details for West fargo, ND vs Manhattan, KS
Population Overview
Compare main population characteristics in West fargo, ND vs Manhattan, KS.
| Data | West fargo | Manhattan |
|---|---|---|
| Population | 39,985 | 53,829 |
| Median Age | 32.5 years | 24.7 years |
| Median Income | $96,929 | $55,316 |
| Married Families | 43.0% | 29.0% |
| Poverty Level | 6% | 15% |
| Unemployment Rate | 2.2 | 3.8 |
Population Comparison: West fargo vs Manhattan
- The population in Manhattan is higher at 53,829, compared to 39,985 in West fargo.
- Residents in West fargo have a higher median age of 32.5 years compared to 24.7 years in Manhattan.
- West fargo has a higher median income of $96,929 compared to $55,316 in Manhattan.
- A higher percentage of married families is found in West fargo at 43.0% compared to 29.0% in Manhattan.
- The poverty level is higher in Manhattan at 15%, compared to 6% in West fargo.
- Manhattan has a higher unemployment rate at 3.8% compared to 2.2% in West fargo.
Demographics
Demographics West fargo vs Manhattan provide insight into the diversity of the communities to compare.
| Demographic | West fargo | Manhattan |
|---|---|---|
| Black | 3 | 5 |
| White | 87 | 74 |
| Asian | 2 | 5 |
| Hispanic | 2 | 8 |
| Two or More Races | 5 | 7 |
| American Indian | 1 | 1 |
Demographics Comparison: West fargo vs Manhattan
- In Manhattan, the percentage of Black residents is higher at 5% compared to 3% in West fargo.
- West fargo has a higher percentage of White residents at 87% compared to 74% in Manhattan.
- In Manhattan, the Asian population stands at 5%, greater than 2% in West fargo.
- Manhattan has a higher percentage of Hispanic residents at 8%, compared to 2% in West fargo.
- The percentage of residents identifying as two or more races is higher in Manhattan at 7%, compared to 5% in West fargo.
- The percentage of American Indian residents is the same in both West fargo and Manhattan at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | West fargo | Manhattan |
|---|---|---|
| Mental Health Not Good | 12.2% | 15.7% |
| Physical Health Not Good | 8.3% | 10.1% |
| Depression | 19.7% | 20.2% |
| Smoking | 13.2% | 16.0% |
| Binge Drinking | 21.9% | 20.6% |
| Obesity | 34.6% | 32.2% |
| Disability Percentage | 7.0% | 12.0% |
Health Statistics Comparison: West fargo vs Manhattan
- In Manhattan, a higher percentage report poor mental health at 15.7% compared to 12.2% in West fargo.
- Higher depression rates are seen in Manhattan at 20.2% versus 19.7% in West fargo.
- Manhattan has a higher smoking rate at 16.0% compared to 13.2% in West fargo.
- Binge drinking is more common in West fargo at 21.9% compared to 20.6% in Manhattan.
- Obesity rates are higher in West fargo at 34.6% compared to 32.2% in Manhattan.
- There is a higher percentage of disabled individuals in Manhattan at 12.0% compared to 7.0% in West fargo.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | West fargo | Manhattan |
|---|---|---|
| No Schooling | 0.2% (82) | 0.5% (256) |
| High School Diploma | 9.0% (3,583) | 5.8% (3,138) |
| Less than High School | 3.0% (1,203) | 4.2% (2,256) |
| Bachelor's Degree and Higher | 27.1% (10,840) | 26.0% (14,017) |
Education Levels Comparison: West fargo vs Manhattan
- In Manhattan, a larger percentage of residents lack formal schooling at 0.5% compared to 0.2% in West fargo.
- A higher percentage of residents in West fargo hold a high school diploma at 9.0% compared to 5.8% in Manhattan.
- The percentage of residents with less than a high school education is higher in Manhattan at 4.2%, compared to 3.0% in West fargo.
- A higher percentage of residents in West fargo hold a bachelor's degree or higher at 27.1% compared to 26.0% in Manhattan.
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.