Demographics details for Salem, UT vs Mokelumne hill, CA
Population Overview
Compare main population characteristics in Salem, UT vs Mokelumne hill, CA.
Data | Salem | Mokelumne hill |
---|---|---|
Population | 10,393 | 808 |
Median Age | 28.3 years | 61.8 years |
Median Income | $101,700 | $81,483 |
Married Families | 44.0% | 65.0% |
Poverty Level | 3% | 10% |
Unemployment Rate | 2.0 | 3.5 |
Population Comparison: Salem vs Mokelumne hill
- In Salem, the population is higher at 10,393, compared to 808 in Mokelumne hill.
- The median age in Mokelumne hill is higher at 61.8 years, compared to 28.3 years in Salem.
- Salem has a higher median income of $101,700 compared to $81,483 in Mokelumne hill.
- In Mokelumne hill, the percentage of married families is higher at 65.0%, compared to 44.0% in Salem.
- The poverty level is higher in Mokelumne hill at 10%, compared to 3% in Salem.
- Mokelumne hill has a higher unemployment rate at 3.5% compared to 2.0% in Salem.
Demographics
Demographics Salem vs Mokelumne hill provide insight into the diversity of the communities to compare.
Demographic | Salem | Mokelumne hill |
---|---|---|
Black | 1 | 15 |
White | 87 | 48 |
Asian | Data is updating | Data is updating |
Hispanic | 4 | 24 |
Two or More Races | 8 | 13 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Salem vs Mokelumne hill
- In Mokelumne hill, the percentage of Black residents is higher at 15% compared to 1% in Salem.
- Salem has a higher percentage of White residents at 87% compared to 48% in Mokelumne hill.
- Both Salem and Mokelumne hill have the same percentage of Asian residents at 0%.
- Mokelumne hill has a higher percentage of Hispanic residents at 24%, compared to 4% in Salem.
- The percentage of residents identifying as two or more races is higher in Mokelumne hill at 13%, compared to 8% in Salem.
- The percentage of American Indian residents is the same in both Salem and Mokelumne hill at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Salem | Mokelumne hill |
---|---|---|
Mental Health Not Good | 14.2% | 19.8% |
Physical Health Not Good | 9.5% | 13.6% |
Depression | 23.5% | 24.2% |
Smoking | 6.7% | 17.6% |
Binge Drinking | 8.8% | 16.7% |
Obesity | 29.2% | 32.4% |
Disability Percentage | 7.0% | 9.0% |
Health Statistics Comparison: Salem vs Mokelumne hill
- In Mokelumne hill, a higher percentage report poor mental health at 19.8% compared to 14.2% in Salem.
- Higher depression rates are seen in Mokelumne hill at 24.2% versus 23.5% in Salem.
- Mokelumne hill has a higher smoking rate at 17.6% compared to 6.7% in Salem.
- More residents engage in binge drinking in Mokelumne hill at 16.7% compared to 8.8% in Salem.
- Mokelumne hill has higher obesity rates at 32.4% compared to 29.2% in Salem.
- There is a higher percentage of disabled individuals in Mokelumne hill at 9.0% compared to 7.0% in Salem.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Salem | Mokelumne hill |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
High School Diploma | 8.9% (921) | 12.5% (101) |
Less than High School | 2.1% (220) | 8.7% (70) |
Bachelor's Degree and Higher | 19.9% (2,072) | 20.2% (163) |
Education Levels Comparison: Salem vs Mokelumne hill
- The percentage of residents with no formal schooling is the same in both Salem and Mokelumne hill at 0.0%.
- In Mokelumne hill, the rate of residents with high school diplomas is higher at 12.5% compared to 8.9% in Salem.
- The percentage of residents with less than a high school education is higher in Mokelumne hill at 8.7%, compared to 2.1% in Salem.
- In Mokelumne hill, a larger share of residents have a bachelor's degree or higher at 20.2% compared to 19.9% in Salem.
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.