Demographics details for Parker, SD vs Diamond springs, CA
Population Overview
Compare main population characteristics in Parker, SD vs Diamond springs, CA.
Data | Parker | Diamond springs |
---|---|---|
Population | 1,221 | 12,197 |
Median Age | 39.3 years | 43.7 years |
Median Income | $83,864 | $71,279 |
Married Families | 39.0% | 44.0% |
Poverty Level | 5% | 11% |
Unemployment Rate | 2.0 | 4.2 |
Population Comparison: Parker vs Diamond springs
- The population in Diamond springs is higher at 12,197, compared to 1,221 in Parker.
- The median age in Diamond springs is higher at 43.7 years, compared to 39.3 years in Parker.
- Parker has a higher median income of $83,864 compared to $71,279 in Diamond springs.
- In Diamond springs, the percentage of married families is higher at 44.0%, compared to 39.0% in Parker.
- The poverty level is higher in Diamond springs at 11%, compared to 5% in Parker.
- Diamond springs has a higher unemployment rate at 4.2% compared to 2.0% in Parker.
Demographics
Demographics Parker vs Diamond springs provide insight into the diversity of the communities to compare.
Demographic | Parker | Diamond springs |
---|---|---|
Black | 4 | Data is updating |
White | 85 | 72 |
Asian | Data is updating | 3 |
Hispanic | 5 | 18 |
Two or More Races | 4 | 6 |
American Indian | 2 | 1 |
Demographics Comparison: Parker vs Diamond springs
- A higher percentage of Black residents are in Parker at 4% compared to 0% in Diamond springs.
- Parker has a higher percentage of White residents at 85% compared to 72% in Diamond springs.
- In Diamond springs, the Asian population stands at 3%, greater than 0% in Parker.
- Diamond springs has a higher percentage of Hispanic residents at 18%, compared to 5% in Parker.
- The percentage of residents identifying as two or more races is higher in Diamond springs at 6%, compared to 4% in Parker.
- A greater percentage of American Indian residents live in Parker at 2% compared to 1% in Diamond springs.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Parker | Diamond springs |
---|---|---|
Mental Health Not Good | 13.5% | 16.7% |
Physical Health Not Good | 9.0% | 10.4% |
Depression | 17.8% | 23.2% |
Smoking | 16.4% | 12.7% |
Binge Drinking | 20.4% | 19.0% |
Obesity | 34.4% | 29.1% |
Disability Percentage | 5.0% | 14.0% |
Health Statistics Comparison: Parker vs Diamond springs
- In Diamond springs, a higher percentage report poor mental health at 16.7% compared to 13.5% in Parker.
- Higher depression rates are seen in Diamond springs at 23.2% versus 17.8% in Parker.
- Smoking is more prevalent in Parker at 16.4% compared to 12.7% in Diamond springs.
- Binge drinking is more common in Parker at 20.4% compared to 19.0% in Diamond springs.
- Obesity rates are higher in Parker at 34.4% compared to 29.1% in Diamond springs.
- There is a higher percentage of disabled individuals in Diamond springs at 14.0% compared to 5.0% in Parker.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Parker | Diamond springs |
---|---|---|
No Schooling | 0.2% (3) | 0.6% (73) |
High School Diploma | 17.9% (218) | 17.2% (2,093) |
Less than High School | 13.0% (159) | 5.8% (711) |
Bachelor's Degree and Higher | 12.9% (158) | 18.6% (2,271) |
Education Levels Comparison: Parker vs Diamond springs
- In Diamond springs, a larger percentage of residents lack formal schooling at 0.6% compared to 0.2% in Parker.
- A higher percentage of residents in Parker hold a high school diploma at 17.9% compared to 17.2% in Diamond springs.
- More residents in Parker have less than a high school education at 13.0% compared to 5.8% in Diamond springs.
- In Diamond springs, a larger share of residents have a bachelor's degree or higher at 18.6% compared to 12.9% in Parker.
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.