Demographics details for West covina, CA vs Waterville, OH
Population Overview
Compare main population characteristics in West covina, CA vs Waterville, OH.
| Data | West covina | Waterville |
|---|---|---|
| Population | 105,013 | 6,013 |
| Median Age | 39.8 years | 40.9 years |
| Median Income | $96,219 | $101,473 |
| Married Families | 39.0% | 44.0% |
| Poverty Level | 13% | Data is updating |
| Unemployment Rate | 5.6 | 3.2 |
Population Comparison: West covina vs Waterville
- In West covina, the population is higher at 105,013, compared to 6,013 in Waterville.
- The median age in Waterville is higher at 40.9 years, compared to 39.8 years in West covina.
- Waterville has a higher median income of $101,473, compared to $96,219 in West covina.
- In Waterville, the percentage of married families is higher at 44.0%, compared to 39.0% in West covina.
- West covina has a higher poverty level at 13% compared to 0% in Waterville.
- The unemployment rate in West covina is higher at 5.6%, compared to 3.2% in Waterville.
Demographics
Demographics West covina vs Waterville provide insight into the diversity of the communities to compare.
| Demographic | West covina | Waterville |
|---|---|---|
| Black | 4 | 1 |
| White | -5 | 79 |
| Asian | 30 | 2 |
| Hispanic | 55 | 8 |
| Two or More Races | 15 | 10 |
| American Indian | 1 | Data is updating |
Demographics Comparison: West covina vs Waterville
- A higher percentage of Black residents are in West covina at 4% compared to 1% in Waterville.
- The percentage of White residents is higher in Waterville at 79% compared to -5% in West covina.
- The Asian population is larger in West covina at 30% compared to 2% in Waterville.
- The Hispanic community is larger in West covina at 55% compared to 8% in Waterville.
- More residents identify as two or more races in West covina at 15% compared to 10% in Waterville.
- A greater percentage of American Indian residents live in West covina at 1% compared to 0% in Waterville.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | West covina | Waterville |
|---|---|---|
| Mental Health Not Good | 13.7% | 14.8% |
| Physical Health Not Good | 9.9% | 8.1% |
| Depression | 13.7% | 22.5% |
| Smoking | 9.3% | 12.6% |
| Binge Drinking | 14.4% | 19.0% |
| Obesity | 25.8% | 33.8% |
| Disability Percentage | 12.0% | 12.0% |
Health Statistics Comparison: West covina vs Waterville
- In Waterville, a higher percentage report poor mental health at 14.8% compared to 13.7% in West covina.
- Higher depression rates are seen in Waterville at 22.5% versus 13.7% in West covina.
- Waterville has a higher smoking rate at 12.6% compared to 9.3% in West covina.
- More residents engage in binge drinking in Waterville at 19.0% compared to 14.4% in West covina.
- Waterville has higher obesity rates at 33.8% compared to 25.8% in West covina.
- Disability percentages are the same in both West covina and Waterville 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 | Waterville |
|---|---|---|
| No Schooling | 2.6% (2,712) | 0.0% (3) |
| High School Diploma | 18.1% (19,047) | 15.4% (924) |
| Less than High School | 17.0% (17,801) | 4.4% (265) |
| Bachelor's Degree and Higher | 21.8% (22,904) | 33.1% (1,988) |
Education Levels Comparison: West covina vs Waterville
- A higher percentage of residents in West covina have no formal schooling at 2.6% compared to 0.0% in Waterville.
- A higher percentage of residents in West covina hold a high school diploma at 18.1% compared to 15.4% in Waterville.
- More residents in West covina have less than a high school education at 17.0% compared to 4.4% in Waterville.
- In Waterville, a larger share of residents have a bachelor's degree or higher at 33.1% 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.