Demographics details for Covina, CA vs Pleasant prairie, WI
Population Overview
Compare main population characteristics in Covina, CA vs Pleasant prairie, WI.
| Data | Covina | Pleasant prairie |
|---|---|---|
| Population | 49,489 | 21,840 |
| Median Age | 37.6 years | 43.1 years |
| Median Income | $89,650 | $99,635 |
| Married Families | 38.0% | 45.0% |
| Poverty Level | 12% | 4% |
| Unemployment Rate | 6.0 | 3.1 |
Population Comparison: Covina vs Pleasant prairie
- In Covina, the population is higher at 49,489, compared to 21,840 in Pleasant prairie.
- The median age in Pleasant prairie is higher at 43.1 years, compared to 37.6 years in Covina.
- Pleasant prairie has a higher median income of $99,635, compared to $89,650 in Covina.
- In Pleasant prairie, the percentage of married families is higher at 45.0%, compared to 38.0% in Covina.
- Covina has a higher poverty level at 12% compared to 4% in Pleasant prairie.
- The unemployment rate in Covina is higher at 6.0%, compared to 3.1% in Pleasant prairie.
Demographics
Demographics Covina vs Pleasant prairie provide insight into the diversity of the communities to compare.
| Demographic | Covina | Pleasant prairie |
|---|---|---|
| Black | 4 | 2 |
| White | 18 | 80 |
| Asian | 14 | 2 |
| Hispanic | 63 | 9 |
| Two or More Races | 19 | 7 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Covina vs Pleasant prairie
- A higher percentage of Black residents are in Covina at 4% compared to 2% in Pleasant prairie.
- The percentage of White residents is higher in Pleasant prairie at 80% compared to 18% in Covina.
- The Asian population is larger in Covina at 14% compared to 2% in Pleasant prairie.
- The Hispanic community is larger in Covina at 63% compared to 9% in Pleasant prairie.
- More residents identify as two or more races in Covina at 19% compared to 7% in Pleasant prairie.
- A greater percentage of American Indian residents live in Covina at 1% compared to 0% in Pleasant prairie.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Covina | Pleasant prairie |
|---|---|---|
| Mental Health Not Good | 15.1% | 13.9% |
| Physical Health Not Good | 10.9% | 9.0% |
| Depression | 15.9% | 22.8% |
| Smoking | 10.5% | 13.4% |
| Binge Drinking | 15.6% | 24.6% |
| Obesity | 28.2% | 34.6% |
| Disability Percentage | 12.0% | 11.0% |
Health Statistics Comparison: Covina vs Pleasant prairie
- More residents in Covina report poor mental health at 15.1% compared to 13.9% in Pleasant prairie.
- Higher depression rates are seen in Pleasant prairie at 22.8% versus 15.9% in Covina.
- Pleasant prairie has a higher smoking rate at 13.4% compared to 10.5% in Covina.
- More residents engage in binge drinking in Pleasant prairie at 24.6% compared to 15.6% in Covina.
- Pleasant prairie has higher obesity rates at 34.6% compared to 28.2% in Covina.
- Disability percentages are higher in Covina at 12.0% compared to 11.0% in Pleasant prairie.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Covina | Pleasant prairie |
|---|---|---|
| No Schooling | 1.5% (753) | 0.6% (127) |
| High School Diploma | 17.4% (8,620) | 14.5% (3,170) |
| Less than High School | 17.2% (8,533) | 7.7% (1,688) |
| Bachelor's Degree and Higher | 18.7% (9,254) | 27.8% (6,082) |
Education Levels Comparison: Covina vs Pleasant prairie
- A higher percentage of residents in Covina have no formal schooling at 1.5% compared to 0.6% in Pleasant prairie.
- A higher percentage of residents in Covina hold a high school diploma at 17.4% compared to 14.5% in Pleasant prairie.
- More residents in Covina have less than a high school education at 17.2% compared to 7.7% in Pleasant prairie.
- In Pleasant prairie, a larger share of residents have a bachelor's degree or higher at 27.8% compared to 18.7% in 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.