Demographics details for Sumter, SC vs Jurupa valley, CA
Population Overview
Compare main population characteristics in Sumter, SC vs Jurupa valley, CA.
Data | Sumter | Jurupa valley |
---|---|---|
Population | 42,757 | 107,609 |
Median Age | 33.1 years | 33.5 years |
Median Income | $48,900 | $91,562 |
Married Families | 34.0% | 34.0% |
Poverty Level | 15% | 12% |
Unemployment Rate | 6.0 | 4.9 |
Population Comparison: Sumter vs Jurupa valley
- The population in Jurupa valley is higher at 107,609, compared to 42,757 in Sumter.
- The median age in Jurupa valley is higher at 33.5 years, compared to 33.1 years in Sumter.
- Jurupa valley has a higher median income of $91,562, compared to $48,900 in Sumter.
- The percentage of married families is the same in both Sumter and Jurupa valley at 34.0%.
- Sumter has a higher poverty level at 15% compared to 12% in Jurupa valley.
- The unemployment rate in Sumter is higher at 6.0%, compared to 4.9% in Jurupa valley.
Demographics
Demographics Sumter vs Jurupa valley provide insight into the diversity of the communities to compare.
Demographic | Sumter | Jurupa valley |
---|---|---|
Black | 48 | 3 |
White | 36 | 8 |
Asian | 2 | 4 |
Hispanic | 7 | 71 |
Two or More Races | 6 | 13 |
American Indian | 1 | 1 |
Demographics Comparison: Sumter vs Jurupa valley
- A higher percentage of Black residents are in Sumter at 48% compared to 3% in Jurupa valley.
- Sumter has a higher percentage of White residents at 36% compared to 8% in Jurupa valley.
- In Jurupa valley, the Asian population stands at 4%, greater than 2% in Sumter.
- Jurupa valley has a higher percentage of Hispanic residents at 71%, compared to 7% in Sumter.
- The percentage of residents identifying as two or more races is higher in Jurupa valley at 13%, compared to 6% in Sumter.
- The percentage of American Indian residents is the same in both Sumter and Jurupa valley at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Sumter | Jurupa valley |
---|---|---|
Mental Health Not Good | 18.7% | 16.7% |
Physical Health Not Good | 13.7% | 13.3% |
Depression | 20.9% | 17.4% |
Smoking | 21.7% | 14.6% |
Binge Drinking | 15.2% | 16.1% |
Obesity | 42.5% | 38.4% |
Disability Percentage | 15.0% | 9.0% |
Health Statistics Comparison: Sumter vs Jurupa valley
- More residents in Sumter report poor mental health at 18.7% compared to 16.7% in Jurupa valley.
- Depression is more prevalent in Sumter at 20.9% compared to 17.4% in Jurupa valley.
- Smoking is more prevalent in Sumter at 21.7% compared to 14.6% in Jurupa valley.
- More residents engage in binge drinking in Jurupa valley at 16.1% compared to 15.2% in Sumter.
- Obesity rates are higher in Sumter at 42.5% compared to 38.4% in Jurupa valley.
- Disability percentages are higher in Sumter at 15.0% 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 | Sumter | Jurupa valley |
---|---|---|
No Schooling | 0.6% (246) | 3.1% (3,376) |
High School Diploma | 15.8% (6,741) | 17.3% (18,582) |
Less than High School | 9.2% (3,936) | 34.3% (36,892) |
Bachelor's Degree and Higher | 17.5% (7,485) | 9.0% (9,706) |
Education Levels Comparison: Sumter vs Jurupa valley
- In Jurupa valley, a larger percentage of residents lack formal schooling at 3.1% compared to 0.6% in Sumter.
- In Jurupa valley, the rate of residents with high school diplomas is higher at 17.3% compared to 15.8% in Sumter.
- The percentage of residents with less than a high school education is higher in Jurupa valley at 34.3%, compared to 9.2% in Sumter.
- A higher percentage of residents in Sumter hold a bachelor's degree or higher at 17.5% 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.