Demographics details for Monroe, MI vs Jurupa valley, CA
Population Overview
Compare main population characteristics in Monroe, MI vs Jurupa valley, CA.
Data | Monroe | Jurupa valley |
---|---|---|
Population | 20,295 | 107,609 |
Median Age | 36.6 years | 33.5 years |
Median Income | $57,779 | $91,562 |
Married Families | 33.0% | 34.0% |
Poverty Level | 12% | 12% |
Unemployment Rate | 5.8 | 4.9 |
Population Comparison: Monroe vs Jurupa valley
- The population in Jurupa valley is higher at 107,609, compared to 20,295 in Monroe.
- Residents in Monroe have a higher median age of 36.6 years compared to 33.5 years in Jurupa valley.
- Jurupa valley has a higher median income of $91,562, compared to $57,779 in Monroe.
- In Jurupa valley, the percentage of married families is higher at 34.0%, compared to 33.0% in Monroe.
- The poverty level is identical in both Monroe and Jurupa valley at 12%.
- The unemployment rate in Monroe is higher at 5.8%, compared to 4.9% in Jurupa valley.
Demographics
Demographics Monroe vs Jurupa valley provide insight into the diversity of the communities to compare.
Demographic | Monroe | Jurupa valley |
---|---|---|
Black | 6 | 3 |
White | 86 | 8 |
Asian | 1 | 4 |
Hispanic | 3 | 71 |
Two or More Races | 4 | 13 |
American Indian | Data is updating | 1 |
Demographics Comparison: Monroe vs Jurupa valley
- A higher percentage of Black residents are in Monroe at 6% compared to 3% in Jurupa valley.
- Monroe has a higher percentage of White residents at 86% compared to 8% in Jurupa valley.
- In Jurupa valley, the Asian population stands at 4%, greater than 1% in Monroe.
- Jurupa valley has a higher percentage of Hispanic residents at 71%, compared to 3% in Monroe.
- The percentage of residents identifying as two or more races is higher in Jurupa valley at 13%, compared to 4% in Monroe.
- In Jurupa valley, the percentage of American Indian residents is higher at 1%, compared to 0% in Monroe.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Monroe | Jurupa valley |
---|---|---|
Mental Health Not Good | 19.4% | 16.7% |
Physical Health Not Good | 13.2% | 13.3% |
Depression | 25.7% | 17.4% |
Smoking | 21.6% | 14.6% |
Binge Drinking | 17.5% | 16.1% |
Obesity | 43.7% | 38.4% |
Disability Percentage | 16.0% | 9.0% |
Health Statistics Comparison: Monroe vs Jurupa valley
- More residents in Monroe report poor mental health at 19.4% compared to 16.7% in Jurupa valley.
- Depression is more prevalent in Monroe at 25.7% compared to 17.4% in Jurupa valley.
- Smoking is more prevalent in Monroe at 21.6% compared to 14.6% in Jurupa valley.
- Binge drinking is more common in Monroe at 17.5% compared to 16.1% in Jurupa valley.
- Obesity rates are higher in Monroe at 43.7% compared to 38.4% in Jurupa valley.
- Disability percentages are higher in Monroe at 16.0% 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 | Monroe | Jurupa valley |
---|---|---|
No Schooling | 0.5% (105) | 3.1% (3,376) |
High School Diploma | 17.0% (3,449) | 17.3% (18,582) |
Less than High School | 13.0% (2,633) | 34.3% (36,892) |
Bachelor's Degree and Higher | 13.2% (2,681) | 9.0% (9,706) |
Education Levels Comparison: Monroe vs Jurupa valley
- In Jurupa valley, a larger percentage of residents lack formal schooling at 3.1% compared to 0.5% in Monroe.
- In Jurupa valley, the rate of residents with high school diplomas is higher at 17.3% compared to 17.0% in Monroe.
- The percentage of residents with less than a high school education is higher in Jurupa valley at 34.3%, compared to 13.0% in Monroe.
- A higher percentage of residents in Monroe hold a bachelor's degree or higher at 13.2% 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.