Demographics details for Jurupa valley, CA vs Lawrence, KS
Population Overview
Compare main population characteristics in Jurupa valley, CA vs Lawrence, KS.
| Data | Jurupa valley | Lawrence |
|---|---|---|
| Population | 107,609 | 95,794 |
| Median Age | 33.5 years | 28.8 years |
| Median Income | $91,562 | $59,834 |
| Married Families | 34.0% | 32.0% |
| Poverty Level | 12% | 12% |
| Unemployment Rate | 4.9 | 3.9 |
Population Comparison: Jurupa valley vs Lawrence
- In Jurupa valley, the population is higher at 107,609, compared to 95,794 in Lawrence.
- Residents in Jurupa valley have a higher median age of 33.5 years compared to 28.8 years in Lawrence.
- Jurupa valley has a higher median income of $91,562 compared to $59,834 in Lawrence.
- A higher percentage of married families is found in Jurupa valley at 34.0% compared to 32.0% in Lawrence.
- The poverty level is identical in both Jurupa valley and Lawrence at 12%.
- The unemployment rate in Jurupa valley is higher at 4.9%, compared to 3.9% in Lawrence.
Demographics
Demographics Jurupa valley vs Lawrence provide insight into the diversity of the communities to compare.
| Demographic | Jurupa valley | Lawrence |
|---|---|---|
| Black | 3 | 5 |
| White | 8 | 71 |
| Asian | 4 | 6 |
| Hispanic | 71 | 7 |
| Two or More Races | 13 | 9 |
| American Indian | 1 | 2 |
Demographics Comparison: Jurupa valley vs Lawrence
- In Lawrence, the percentage of Black residents is higher at 5% compared to 3% in Jurupa valley.
- The percentage of White residents is higher in Lawrence at 71% compared to 8% in Jurupa valley.
- In Lawrence, the Asian population stands at 6%, greater than 4% in Jurupa valley.
- The Hispanic community is larger in Jurupa valley at 71% compared to 7% in Lawrence.
- More residents identify as two or more races in Jurupa valley at 13% compared to 9% in Lawrence.
- In Lawrence, the percentage of American Indian residents is higher at 2%, compared to 1% in Jurupa valley.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Jurupa valley | Lawrence |
|---|---|---|
| Mental Health Not Good | 16.7% | 16.5% |
| Physical Health Not Good | 13.3% | 9.5% |
| Depression | 17.4% | 22.3% |
| Smoking | 14.6% | 14.8% |
| Binge Drinking | 16.1% | 19.6% |
| Obesity | 38.4% | 32.8% |
| Disability Percentage | 9.0% | 10.0% |
Health Statistics Comparison: Jurupa valley vs Lawrence
- More residents in Jurupa valley report poor mental health at 16.7% compared to 16.5% in Lawrence.
- Higher depression rates are seen in Lawrence at 22.3% versus 17.4% in Jurupa valley.
- Lawrence has a higher smoking rate at 14.8% compared to 14.6% in Jurupa valley.
- More residents engage in binge drinking in Lawrence at 19.6% compared to 16.1% in Jurupa valley.
- Obesity rates are higher in Jurupa valley at 38.4% compared to 32.8% in Lawrence.
- There is a higher percentage of disabled individuals in Lawrence at 10.0% compared to 9.0% in Jurupa valley.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Jurupa valley | Lawrence |
|---|---|---|
| No Schooling | 3.1% (3,376) | 0.5% (466) |
| High School Diploma | 17.3% (18,582) | 8.2% (7,882) |
| Less than High School | 34.3% (36,892) | 4.0% (3,784) |
| Bachelor's Degree and Higher | 9.0% (9,706) | 31.1% (29,776) |
Education Levels Comparison: Jurupa valley vs Lawrence
- A higher percentage of residents in Jurupa valley have no formal schooling at 3.1% compared to 0.5% in Lawrence.
- A higher percentage of residents in Jurupa valley hold a high school diploma at 17.3% compared to 8.2% in Lawrence.
- More residents in Jurupa valley have less than a high school education at 34.3% compared to 4.0% in Lawrence.
- In Lawrence, a larger share of residents have a bachelor's degree or higher at 31.1% compared to 9.0% in Jurupa valley.
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.