Demographics details for West covina, CA vs Manhattan, KS
Population Overview
Compare main population characteristics in West covina, CA vs Manhattan, KS.
| Data | West covina | Manhattan |
|---|---|---|
| Population | 105,013 | 53,829 |
| Median Age | 39.8 years | 24.7 years |
| Median Income | $96,219 | $55,316 |
| Married Families | 39.0% | 29.0% |
| Poverty Level | 13% | 15% |
| Unemployment Rate | 5.6 | 3.8 |
Population Comparison: West covina vs Manhattan
- In West covina, the population is higher at 105,013, compared to 53,829 in Manhattan.
- Residents in West covina have a higher median age of 39.8 years compared to 24.7 years in Manhattan.
- West covina has a higher median income of $96,219 compared to $55,316 in Manhattan.
- A higher percentage of married families is found in West covina at 39.0% compared to 29.0% in Manhattan.
- The poverty level is higher in Manhattan at 15%, compared to 13% in West covina.
- The unemployment rate in West covina is higher at 5.6%, compared to 3.8% in Manhattan.
Demographics
Demographics West covina vs Manhattan provide insight into the diversity of the communities to compare.
| Demographic | West covina | Manhattan |
|---|---|---|
| Black | 4 | 5 |
| White | -5 | 74 |
| Asian | 30 | 5 |
| Hispanic | 55 | 8 |
| Two or More Races | 15 | 7 |
| American Indian | 1 | 1 |
Demographics Comparison: West covina vs Manhattan
- In Manhattan, the percentage of Black residents is higher at 5% compared to 4% in West covina.
- The percentage of White residents is higher in Manhattan at 74% compared to -5% in West covina.
- The Asian population is larger in West covina at 30% compared to 5% in Manhattan.
- The Hispanic community is larger in West covina at 55% compared to 8% in Manhattan.
- More residents identify as two or more races in West covina at 15% compared to 7% in Manhattan.
- The percentage of American Indian residents is the same in both West covina and Manhattan at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | West covina | Manhattan |
|---|---|---|
| Mental Health Not Good | 13.7% | 15.7% |
| Physical Health Not Good | 9.9% | 10.1% |
| Depression | 13.7% | 20.2% |
| Smoking | 9.3% | 16.0% |
| Binge Drinking | 14.4% | 20.6% |
| Obesity | 25.8% | 32.2% |
| Disability Percentage | 12.0% | 12.0% |
Health Statistics Comparison: West covina vs Manhattan
- In Manhattan, a higher percentage report poor mental health at 15.7% compared to 13.7% in West covina.
- Higher depression rates are seen in Manhattan at 20.2% versus 13.7% in West covina.
- Manhattan has a higher smoking rate at 16.0% compared to 9.3% in West covina.
- More residents engage in binge drinking in Manhattan at 20.6% compared to 14.4% in West covina.
- Manhattan has higher obesity rates at 32.2% compared to 25.8% in West covina.
- Disability percentages are the same in both West covina and Manhattan at 12.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | West covina | Manhattan |
|---|---|---|
| No Schooling | 2.6% (2,712) | 0.5% (256) |
| High School Diploma | 18.1% (19,047) | 5.8% (3,138) |
| Less than High School | 17.0% (17,801) | 4.2% (2,256) |
| Bachelor's Degree and Higher | 21.8% (22,904) | 26.0% (14,017) |
Education Levels Comparison: West covina vs Manhattan
- A higher percentage of residents in West covina have no formal schooling at 2.6% compared to 0.5% in Manhattan.
- A higher percentage of residents in West covina hold a high school diploma at 18.1% compared to 5.8% in Manhattan.
- More residents in West covina have less than a high school education at 17.0% 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 21.8% in West covina.
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.