Demographics details for Dade city, FL vs Fairfield, CA
Population Overview
Compare main population characteristics in Dade city, FL vs Fairfield, CA.
Data | Dade city | Fairfield |
---|---|---|
Population | 7,670 | 119,338 |
Median Age | 40.4 years | 35.8 years |
Median Income | $63,493 | $98,857 |
Married Families | 33.0% | 39.0% |
Poverty Level | 15% | 12% |
Unemployment Rate | 4.6 | 5.1 |
Population Comparison: Dade city vs Fairfield
- The population in Fairfield is higher at 119,338, compared to 7,670 in Dade city.
- Residents in Dade city have a higher median age of 40.4 years compared to 35.8 years in Fairfield.
- Fairfield has a higher median income of $98,857, compared to $63,493 in Dade city.
- In Fairfield, the percentage of married families is higher at 39.0%, compared to 33.0% in Dade city.
- Dade city has a higher poverty level at 15% compared to 12% in Fairfield.
- Fairfield has a higher unemployment rate at 5.1% compared to 4.6% in Dade city.
Demographics
Demographics Dade city vs Fairfield provide insight into the diversity of the communities to compare.
Demographic | Dade city | Fairfield |
---|---|---|
Black | 18 | 15 |
White | 59 | 23 |
Asian | Data is updating | 18 |
Hispanic | 19 | 30 |
Two or More Races | 4 | 14 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Dade city vs Fairfield
- A higher percentage of Black residents are in Dade city at 18% compared to 15% in Fairfield.
- Dade city has a higher percentage of White residents at 59% compared to 23% in Fairfield.
- In Fairfield, the Asian population stands at 18%, greater than 0% in Dade city.
- Fairfield has a higher percentage of Hispanic residents at 30%, compared to 19% in Dade city.
- The percentage of residents identifying as two or more races is higher in Fairfield at 14%, compared to 4% in Dade city.
- The percentage of American Indian residents is the same in both Dade city and Fairfield at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Dade city | Fairfield |
---|---|---|
Mental Health Not Good | 19.3% | 15.8% |
Physical Health Not Good | 15.2% | 10.7% |
Depression | 24.2% | 17.7% |
Smoking | 28.5% | 11.9% |
Binge Drinking | 15.0% | 16.1% |
Obesity | 36.8% | 30.1% |
Disability Percentage | 21.0% | 12.0% |
Health Statistics Comparison: Dade city vs Fairfield
- More residents in Dade city report poor mental health at 19.3% compared to 15.8% in Fairfield.
- Depression is more prevalent in Dade city at 24.2% compared to 17.7% in Fairfield.
- Smoking is more prevalent in Dade city at 28.5% compared to 11.9% in Fairfield.
- More residents engage in binge drinking in Fairfield at 16.1% compared to 15.0% in Dade city.
- Obesity rates are higher in Dade city at 36.8% compared to 30.1% in Fairfield.
- Disability percentages are higher in Dade city at 21.0% compared to 12.0% in Fairfield.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Dade city | Fairfield |
---|---|---|
No Schooling | 1.3% (101) | 2.1% (2,515) |
High School Diploma | 22.7% (1,743) | 13.7% (16,358) |
Less than High School | 19.3% (1,481) | 14.6% (17,464) |
Bachelor's Degree and Higher | 15.7% (1,203) | 18.3% (21,856) |
Education Levels Comparison: Dade city vs Fairfield
- In Fairfield, a larger percentage of residents lack formal schooling at 2.1% compared to 1.3% in Dade city.
- A higher percentage of residents in Dade city hold a high school diploma at 22.7% compared to 13.7% in Fairfield.
- More residents in Dade city have less than a high school education at 19.3% compared to 14.6% in Fairfield.
- In Fairfield, a larger share of residents have a bachelor's degree or higher at 18.3% compared to 15.7% in Dade city.
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.