Demographics details for Fort atkinson, WI vs Fontana, CA
Population Overview
Compare main population characteristics in Fort atkinson, WI vs Fontana, CA.
Data | Fort atkinson | Fontana |
---|---|---|
Population | 12,412 | 212,475 |
Median Age | 42.0 years | 32.6 years |
Median Income | $72,215 | $93,230 |
Married Families | 41.0% | 36.0% |
Poverty Level | 9% | 13% |
Unemployment Rate | 3.2 | 5.0 |
Population Comparison: Fort atkinson vs Fontana
- The population in Fontana is higher at 212,475, compared to 12,412 in Fort atkinson.
- Residents in Fort atkinson have a higher median age of 42.0 years compared to 32.6 years in Fontana.
- Fontana has a higher median income of $93,230, compared to $72,215 in Fort atkinson.
- A higher percentage of married families is found in Fort atkinson at 41.0% compared to 36.0% in Fontana.
- The poverty level is higher in Fontana at 13%, compared to 9% in Fort atkinson.
- Fontana has a higher unemployment rate at 5.0% compared to 3.2% in Fort atkinson.
Demographics
Demographics Fort atkinson vs Fontana provide insight into the diversity of the communities to compare.
Demographic | Fort atkinson | Fontana |
---|---|---|
Black | Data is updating | 8 |
White | 89 | 2 |
Asian | Data is updating | 7 |
Hispanic | 8 | 68 |
Two or More Races | 3 | 14 |
American Indian | Data is updating | 1 |
Demographics Comparison: Fort atkinson vs Fontana
- In Fontana, the percentage of Black residents is higher at 8% compared to 0% in Fort atkinson.
- Fort atkinson has a higher percentage of White residents at 89% compared to 2% in Fontana.
- In Fontana, the Asian population stands at 7%, greater than 0% in Fort atkinson.
- Fontana has a higher percentage of Hispanic residents at 68%, compared to 8% in Fort atkinson.
- The percentage of residents identifying as two or more races is higher in Fontana at 14%, compared to 3% in Fort atkinson.
- In Fontana, the percentage of American Indian residents is higher at 1%, compared to 0% in Fort atkinson.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Fort atkinson | Fontana |
---|---|---|
Mental Health Not Good | 15.2% | 16.2% |
Physical Health Not Good | 10.2% | 12.6% |
Depression | 23.6% | 17.0% |
Smoking | 16.0% | 12.4% |
Binge Drinking | 23.5% | 15.1% |
Obesity | 34.0% | 38.6% |
Disability Percentage | 12.0% | 8.0% |
Health Statistics Comparison: Fort atkinson vs Fontana
- In Fontana, a higher percentage report poor mental health at 16.2% compared to 15.2% in Fort atkinson.
- Depression is more prevalent in Fort atkinson at 23.6% compared to 17.0% in Fontana.
- Smoking is more prevalent in Fort atkinson at 16.0% compared to 12.4% in Fontana.
- Binge drinking is more common in Fort atkinson at 23.5% compared to 15.1% in Fontana.
- Fontana has higher obesity rates at 38.6% compared to 34.0% in Fort atkinson.
- Disability percentages are higher in Fort atkinson at 12.0% compared to 8.0% in Fontana.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Fort atkinson | Fontana |
---|---|---|
No Schooling | 1.3% (160) | 2.2% (4,748) |
High School Diploma | 20.8% (2,578) | 16.3% (34,556) |
Less than High School | 12.9% (1,595) | 25.3% (53,655) |
Bachelor's Degree and Higher | 19.6% (2,436) | 12.0% (25,587) |
Education Levels Comparison: Fort atkinson vs Fontana
- In Fontana, a larger percentage of residents lack formal schooling at 2.2% compared to 1.3% in Fort atkinson.
- A higher percentage of residents in Fort atkinson hold a high school diploma at 20.8% compared to 16.3% in Fontana.
- The percentage of residents with less than a high school education is higher in Fontana at 25.3%, compared to 12.9% in Fort atkinson.
- A higher percentage of residents in Fort atkinson hold a bachelor's degree or higher at 19.6% compared to 12.0% in Fontana.
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.