Demographics details for Fort atkinson, WI vs Wiota, IA
Population Overview
Compare main population characteristics in Fort atkinson, WI vs Wiota, IA.
| Data | Fort atkinson | Wiota |
|---|---|---|
| Population | 12,412 | 91 |
| Median Age | 42.0 years | 70.0 years |
| Median Income | $72,215 | $73,403 |
| Married Families | 41.0% | 71.0% |
| Poverty Level | 9% | Data is updating |
| Unemployment Rate | 3.2 | 3.5 |
Population Comparison: Fort atkinson vs Wiota
- In Fort atkinson, the population is higher at 12,412, compared to 91 in Wiota.
- The median age in Wiota is higher at 70.0 years, compared to 42.0 years in Fort atkinson.
- Wiota has a higher median income of $73,403, compared to $72,215 in Fort atkinson.
- In Wiota, the percentage of married families is higher at 71.0%, compared to 41.0% in Fort atkinson.
- Fort atkinson has a higher poverty level at 9% compared to 0% in Wiota.
- Wiota has a higher unemployment rate at 3.5% compared to 3.2% in Fort atkinson.
Demographics
Demographics Fort atkinson vs Wiota provide insight into the diversity of the communities to compare.
| Demographic | Fort atkinson | Wiota |
|---|---|---|
| Black | Data is updating | Data is updating |
| White | 89 | 100 |
| Asian | Data is updating | Data is updating |
| Hispanic | 8 | Data is updating |
| Two or More Races | 3 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Fort atkinson vs Wiota
- The percentage of Black residents is the same in both Fort atkinson and Wiota at 0%.
- The percentage of White residents is higher in Wiota at 100% compared to 89% in Fort atkinson.
- Both Fort atkinson and Wiota have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Fort atkinson at 8% compared to 0% in Wiota.
- More residents identify as two or more races in Fort atkinson at 3% compared to 0% in Wiota.
- The percentage of American Indian residents is the same in both Fort atkinson and Wiota at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Fort atkinson | Wiota |
|---|---|---|
| Mental Health Not Good | 15.2% | 15.3% |
| Physical Health Not Good | 10.2% | 9.9% |
| Depression | 23.6% | 18.3% |
| Smoking | 16.0% | 18.7% |
| Binge Drinking | 23.5% | 22.8% |
| Obesity | 34.0% | 41.9% |
| Disability Percentage | 12.0% | 27.0% |
Health Statistics Comparison: Fort atkinson vs Wiota
- In Wiota, a higher percentage report poor mental health at 15.3% compared to 15.2% in Fort atkinson.
- Depression is more prevalent in Fort atkinson at 23.6% compared to 18.3% in Wiota.
- Wiota has a higher smoking rate at 18.7% compared to 16.0% in Fort atkinson.
- Binge drinking is more common in Fort atkinson at 23.5% compared to 22.8% in Wiota.
- Wiota has higher obesity rates at 41.9% compared to 34.0% in Fort atkinson.
- There is a higher percentage of disabled individuals in Wiota at 27.0% compared to 12.0% in Fort atkinson.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Fort atkinson | Wiota |
|---|---|---|
| No Schooling | 1.3% (160) | 2.2% (2) |
| High School Diploma | 20.8% (2,578) | 35.2% (32) |
| Less than High School | 12.9% (1,595) | 4.4% (4) |
| Bachelor's Degree and Higher | 19.6% (2,436) | 9.9% (9) |
Education Levels Comparison: Fort atkinson vs Wiota
- In Wiota, a larger percentage of residents lack formal schooling at 2.2% compared to 1.3% in Fort atkinson.
- In Wiota, the rate of residents with high school diplomas is higher at 35.2% compared to 20.8% in Fort atkinson.
- More residents in Fort atkinson have less than a high school education at 12.9% compared to 4.4% in Wiota.
- A higher percentage of residents in Fort atkinson hold a bachelor's degree or higher at 19.6% compared to 9.9% in Wiota.
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.