Demographics details for Shirley, NY vs Mokelumne hill, CA
Population Overview
Compare main population characteristics in Shirley, NY vs Mokelumne hill, CA.
Data | Shirley | Mokelumne hill |
---|---|---|
Population | 26,498 | 808 |
Median Age | 40.4 years | 61.8 years |
Median Income | $109,821 | $81,483 |
Married Families | 37.0% | 65.0% |
Poverty Level | 6% | 10% |
Unemployment Rate | 4.2 | 3.5 |
Population Comparison: Shirley vs Mokelumne hill
- In Shirley, the population is higher at 26,498, compared to 808 in Mokelumne hill.
- The median age in Mokelumne hill is higher at 61.8 years, compared to 40.4 years in Shirley.
- Shirley has a higher median income of $109,821 compared to $81,483 in Mokelumne hill.
- In Mokelumne hill, the percentage of married families is higher at 65.0%, compared to 37.0% in Shirley.
- The poverty level is higher in Mokelumne hill at 10%, compared to 6% in Shirley.
- The unemployment rate in Shirley is higher at 4.2%, compared to 3.5% in Mokelumne hill.
Demographics
Demographics Shirley vs Mokelumne hill provide insight into the diversity of the communities to compare.
Demographic | Shirley | Mokelumne hill |
---|---|---|
Black | 8 | 15 |
White | 56 | 48 |
Asian | 5 | Data is updating |
Hispanic | 23 | 24 |
Two or More Races | 8 | 13 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Shirley vs Mokelumne hill
- In Mokelumne hill, the percentage of Black residents is higher at 15% compared to 8% in Shirley.
- Shirley has a higher percentage of White residents at 56% compared to 48% in Mokelumne hill.
- The Asian population is larger in Shirley at 5% compared to 0% in Mokelumne hill.
- Mokelumne hill has a higher percentage of Hispanic residents at 24%, compared to 23% in Shirley.
- The percentage of residents identifying as two or more races is higher in Mokelumne hill at 13%, compared to 8% in Shirley.
- The percentage of American Indian residents is the same in both Shirley and Mokelumne hill at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Shirley | Mokelumne hill |
---|---|---|
Mental Health Not Good | 16.3% | 19.8% |
Physical Health Not Good | 10.7% | 13.6% |
Depression | 21.1% | 24.2% |
Smoking | 17.0% | 17.6% |
Binge Drinking | 16.0% | 16.7% |
Obesity | 32.0% | 32.4% |
Disability Percentage | 10.0% | 9.0% |
Health Statistics Comparison: Shirley vs Mokelumne hill
- In Mokelumne hill, a higher percentage report poor mental health at 19.8% compared to 16.3% in Shirley.
- Higher depression rates are seen in Mokelumne hill at 24.2% versus 21.1% in Shirley.
- Mokelumne hill has a higher smoking rate at 17.6% compared to 17.0% in Shirley.
- More residents engage in binge drinking in Mokelumne hill at 16.7% compared to 16.0% in Shirley.
- Mokelumne hill has higher obesity rates at 32.4% compared to 32.0% in Shirley.
- Disability percentages are higher in Shirley at 10.0% compared to 9.0% in Mokelumne hill.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Shirley | Mokelumne hill |
---|---|---|
No Schooling | 2.1% (555) | 0.0% (Data is updating) |
High School Diploma | 22.2% (5,874) | 12.5% (101) |
Less than High School | 13.4% (3,542) | 8.7% (70) |
Bachelor's Degree and Higher | 13.4% (3,547) | 20.2% (163) |
Education Levels Comparison: Shirley vs Mokelumne hill
- A higher percentage of residents in Shirley have no formal schooling at 2.1% compared to 0.0% in Mokelumne hill.
- A higher percentage of residents in Shirley hold a high school diploma at 22.2% compared to 12.5% in Mokelumne hill.
- More residents in Shirley have less than a high school education at 13.4% compared to 8.7% in Mokelumne hill.
- In Mokelumne hill, a larger share of residents have a bachelor's degree or higher at 20.2% compared to 13.4% in Shirley.
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.