Demographics details for Jurupa valley, CA vs La crosse, WI
Population Overview
Compare main population characteristics in Jurupa valley, CA vs La crosse, WI.
Data | Jurupa valley | La crosse |
---|---|---|
Population | 107,609 | 51,380 |
Median Age | 33.5 years | 30.0 years |
Median Income | $91,562 | $51,836 |
Married Families | 34.0% | 26.0% |
Poverty Level | 12% | 10% |
Unemployment Rate | 4.9 | 3.2 |
Population Comparison: Jurupa valley vs La crosse
- In Jurupa valley, the population is higher at 107,609, compared to 51,380 in La crosse.
- Residents in Jurupa valley have a higher median age of 33.5 years compared to 30.0 years in La crosse.
- Jurupa valley has a higher median income of $91,562 compared to $51,836 in La crosse.
- A higher percentage of married families is found in Jurupa valley at 34.0% compared to 26.0% in La crosse.
- Jurupa valley has a higher poverty level at 12% compared to 10% in La crosse.
- The unemployment rate in Jurupa valley is higher at 4.9%, compared to 3.2% in La crosse.
Demographics
Demographics Jurupa valley vs La crosse provide insight into the diversity of the communities to compare.
Demographic | Jurupa valley | La crosse |
---|---|---|
Black | 3 | 2 |
White | 8 | 88 |
Asian | 4 | 4 |
Hispanic | 71 | 2 |
Two or More Races | 13 | 4 |
American Indian | 1 | Data is updating |
Demographics Comparison: Jurupa valley vs La crosse
- A higher percentage of Black residents are in Jurupa valley at 3% compared to 2% in La crosse.
- The percentage of White residents is higher in La crosse at 88% compared to 8% in Jurupa valley.
- Both Jurupa valley and La crosse have the same percentage of Asian residents at 4%.
- The Hispanic community is larger in Jurupa valley at 71% compared to 2% in La crosse.
- More residents identify as two or more races in Jurupa valley at 13% compared to 4% in La crosse.
- A greater percentage of American Indian residents live in Jurupa valley at 1% compared to 0% in La crosse.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Jurupa valley | La crosse |
---|---|---|
Mental Health Not Good | 16.7% | 15.8% |
Physical Health Not Good | 13.3% | 10.5% |
Depression | 17.4% | 25.7% |
Smoking | 14.6% | 16.8% |
Binge Drinking | 16.1% | 23.1% |
Obesity | 38.4% | 36.9% |
Disability Percentage | 9.0% | 12.0% |
Health Statistics Comparison: Jurupa valley vs La crosse
- More residents in Jurupa valley report poor mental health at 16.7% compared to 15.8% in La crosse.
- Higher depression rates are seen in La crosse at 25.7% versus 17.4% in Jurupa valley.
- La crosse has a higher smoking rate at 16.8% compared to 14.6% in Jurupa valley.
- More residents engage in binge drinking in La crosse at 23.1% compared to 16.1% in Jurupa valley.
- Obesity rates are higher in Jurupa valley at 38.4% compared to 36.9% in La crosse.
- There is a higher percentage of disabled individuals in La crosse at 12.0% 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 | La crosse |
---|---|---|
No Schooling | 3.1% (3,376) | 0.5% (232) |
High School Diploma | 17.3% (18,582) | 13.6% (6,986) |
Less than High School | 34.3% (36,892) | 5.3% (2,721) |
Bachelor's Degree and Higher | 9.0% (9,706) | 20.8% (10,707) |
Education Levels Comparison: Jurupa valley vs La crosse
- A higher percentage of residents in Jurupa valley have no formal schooling at 3.1% compared to 0.5% in La crosse.
- A higher percentage of residents in Jurupa valley hold a high school diploma at 17.3% compared to 13.6% in La crosse.
- More residents in Jurupa valley have less than a high school education at 34.3% compared to 5.3% in La crosse.
- In La crosse, a larger share of residents have a bachelor's degree or higher at 20.8% 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.