Demographics details for Franklin, WI vs Fairfield, CT
Population Overview
Compare main population characteristics in Franklin, WI vs Fairfield, CT.
Data | Franklin | Fairfield |
---|---|---|
Population | 36,066 | 62,105 |
Median Age | 44.3 years | 42.0 years |
Median Income | $100,524 | $102,000 |
Married Families | 50.0% | Data is updating |
Poverty Level | 5% | 5% |
Unemployment Rate | 3.2 | 2.9 |
Population Comparison: Franklin vs Fairfield
- The population in Fairfield is higher at 62,105, compared to 36,066 in Franklin.
- Residents in Franklin have a higher median age of 44.3 years compared to 42.0 years in Fairfield.
- Fairfield has a higher median income of $102,000, compared to $100,524 in Franklin.
- A higher percentage of married families is found in Franklin at 50.0% compared to 0.0% in Fairfield.
- The poverty level is identical in both Franklin and Fairfield at 5%.
- The unemployment rate in Franklin is higher at 3.2%, compared to 2.9% in Fairfield.
Demographics
Demographics Franklin vs Fairfield provide insight into the diversity of the communities to compare.
Demographic | Franklin | Fairfield |
---|---|---|
Black | 4 | 5 |
White | 80 | 80 |
Asian | 6 | 7 |
Hispanic | 6 | 8 |
Two or More Races | 4 | Data is updating |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Franklin vs Fairfield
- In Fairfield, the percentage of Black residents is higher at 5% compared to 4% in Franklin.
- The percentage of White residents is the same in both Franklin and Fairfield at 80%.
- In Fairfield, the Asian population stands at 7%, greater than 6% in Franklin.
- Fairfield has a higher percentage of Hispanic residents at 8%, compared to 6% in Franklin.
- More residents identify as two or more races in Franklin at 4% compared to 0% in Fairfield.
- The percentage of American Indian residents is the same in both Franklin and Fairfield at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Franklin | Fairfield |
---|---|---|
Mental Health Not Good | 13.4% | Data is updating% |
Physical Health Not Good | 7.9% | Data is updating% |
Depression | 21.9% | Data is updating% |
Smoking | 12.8% | Data is updating% |
Binge Drinking | 27.0% | Data is updating% |
Obesity | 30.9% | Data is updating% |
Disability Percentage | 8.0% | Data is updating% |
Health Statistics Comparison: Franklin vs Fairfield
- More residents in Franklin report poor mental health at 13.4% compared to 0.0% in Fairfield.
- Depression is more prevalent in Franklin at 21.9% compared to 0.0% in Fairfield.
- Smoking is more prevalent in Franklin at 12.8% compared to 0.0% in Fairfield.
- Binge drinking is more common in Franklin at 27.0% compared to 0.0% in Fairfield.
- Obesity rates are higher in Franklin at 30.9% compared to 0.0% in Fairfield.
- Disability percentages are higher in Franklin at 8.0% compared to 0.0% in Fairfield.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Franklin | Fairfield |
---|---|---|
No Schooling | 0.3% (98) | 0.0% (Data is updating) |
High School Diploma | 15.5% (5,595) | 0.0% (Data is updating) |
Less than High School | 6.8% (2,462) | 0.0% (Data is updating) |
Bachelor's Degree and Higher | 31.8% (11,484) | 0.0% (Data is updating) |
Education Levels Comparison: Franklin vs Fairfield
- A higher percentage of residents in Franklin have no formal schooling at 0.3% compared to 0.0% in Fairfield.
- A higher percentage of residents in Franklin hold a high school diploma at 15.5% compared to 0.0% in Fairfield.
- More residents in Franklin have less than a high school education at 6.8% compared to 0.0% in Fairfield.
- A higher percentage of residents in Franklin hold a bachelor's degree or higher at 31.8% compared to 0.0% in Fairfield.
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.