Demographics details for Diamond springs, CA vs Franklin, WI
Population Overview
Compare main population characteristics in Diamond springs, CA vs Franklin, WI.
Data | Diamond springs | Franklin |
---|---|---|
Population | 12,197 | 36,066 |
Median Age | 43.7 years | 44.3 years |
Median Income | $71,279 | $100,524 |
Married Families | 44.0% | 50.0% |
Poverty Level | 11% | 5% |
Unemployment Rate | 4.2 | 3.2 |
Population Comparison: Diamond springs vs Franklin
- The population in Franklin is higher at 36,066, compared to 12,197 in Diamond springs.
- The median age in Franklin is higher at 44.3 years, compared to 43.7 years in Diamond springs.
- Franklin has a higher median income of $100,524, compared to $71,279 in Diamond springs.
- In Franklin, the percentage of married families is higher at 50.0%, compared to 44.0% in Diamond springs.
- Diamond springs has a higher poverty level at 11% compared to 5% in Franklin.
- The unemployment rate in Diamond springs is higher at 4.2%, compared to 3.2% in Franklin.
Demographics
Demographics Diamond springs vs Franklin provide insight into the diversity of the communities to compare.
Demographic | Diamond springs | Franklin |
---|---|---|
Black | Data is updating | 4 |
White | 72 | 80 |
Asian | 3 | 6 |
Hispanic | 18 | 6 |
Two or More Races | 6 | 4 |
American Indian | 1 | Data is updating |
Demographics Comparison: Diamond springs vs Franklin
- In Franklin, the percentage of Black residents is higher at 4% compared to 0% in Diamond springs.
- The percentage of White residents is higher in Franklin at 80% compared to 72% in Diamond springs.
- In Franklin, the Asian population stands at 6%, greater than 3% in Diamond springs.
- The Hispanic community is larger in Diamond springs at 18% compared to 6% in Franklin.
- More residents identify as two or more races in Diamond springs at 6% compared to 4% in Franklin.
- A greater percentage of American Indian residents live in Diamond springs at 1% compared to 0% in Franklin.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Diamond springs | Franklin |
---|---|---|
Mental Health Not Good | 16.7% | 13.4% |
Physical Health Not Good | 10.4% | 7.9% |
Depression | 23.2% | 21.9% |
Smoking | 12.7% | 12.8% |
Binge Drinking | 19.0% | 27.0% |
Obesity | 29.1% | 30.9% |
Disability Percentage | 14.0% | 8.0% |
Health Statistics Comparison: Diamond springs vs Franklin
- More residents in Diamond springs report poor mental health at 16.7% compared to 13.4% in Franklin.
- Depression is more prevalent in Diamond springs at 23.2% compared to 21.9% in Franklin.
- Franklin has a higher smoking rate at 12.8% compared to 12.7% in Diamond springs.
- More residents engage in binge drinking in Franklin at 27.0% compared to 19.0% in Diamond springs.
- Franklin has higher obesity rates at 30.9% compared to 29.1% in Diamond springs.
- Disability percentages are higher in Diamond springs at 14.0% compared to 8.0% in Franklin.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Diamond springs | Franklin |
---|---|---|
No Schooling | 0.6% (73) | 0.3% (98) |
High School Diploma | 17.2% (2,093) | 15.5% (5,595) |
Less than High School | 5.8% (711) | 6.8% (2,462) |
Bachelor's Degree and Higher | 18.6% (2,271) | 31.8% (11,484) |
Education Levels Comparison: Diamond springs vs Franklin
- A higher percentage of residents in Diamond springs have no formal schooling at 0.6% compared to 0.3% in Franklin.
- A higher percentage of residents in Diamond springs hold a high school diploma at 17.2% compared to 15.5% in Franklin.
- The percentage of residents with less than a high school education is higher in Franklin at 6.8%, compared to 5.8% in Diamond springs.
- In Franklin, a larger share of residents have a bachelor's degree or higher at 31.8% compared to 18.6% in Diamond springs.
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.