Demographics details for Falls, PA vs Fairfield, IA
Population Overview
Compare main population characteristics in Falls, PA vs Fairfield, IA.
| Data | Falls | Fairfield |
|---|---|---|
| Population | 1,699 | 9,464 |
| Median Age | 46.2 years | 43.0 years |
| Median Income | $70,950 | $44,277 |
| Married Families | 50.0% | 32.0% |
| Poverty Level | 5% | 12% |
| Unemployment Rate | 3.0 | 3.5 |
Population Comparison: Falls vs Fairfield
- The population in Fairfield is higher at 9,464, compared to 1,699 in Falls.
- Residents in Falls have a higher median age of 46.2 years compared to 43.0 years in Fairfield.
- Falls has a higher median income of $70,950 compared to $44,277 in Fairfield.
- A higher percentage of married families is found in Falls at 50.0% compared to 32.0% in Fairfield.
- The poverty level is higher in Fairfield at 12%, compared to 5% in Falls.
- Fairfield has a higher unemployment rate at 3.5% compared to 3.0% in Falls.
Demographics
Demographics Falls vs Fairfield provide insight into the diversity of the communities to compare.
| Demographic | Falls | Fairfield |
|---|---|---|
| Black | Data is updating | 8 |
| White | 98 | 73 |
| Asian | Data is updating | 9 |
| Hispanic | 1 | 5 |
| Two or More Races | 1 | 4 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Falls vs Fairfield
- In Fairfield, the percentage of Black residents is higher at 8% compared to 0% in Falls.
- Falls has a higher percentage of White residents at 98% compared to 73% in Fairfield.
- In Fairfield, the Asian population stands at 9%, greater than 0% in Falls.
- Fairfield has a higher percentage of Hispanic residents at 5%, compared to 1% in Falls.
- The percentage of residents identifying as two or more races is higher in Fairfield at 4%, compared to 1% in Falls.
- In Fairfield, the percentage of American Indian residents is higher at 1%, compared to 0% in Falls.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Falls | Fairfield |
|---|---|---|
| Mental Health Not Good | Data is updating% | 15.5% |
| Physical Health Not Good | Data is updating% | 10.1% |
| Depression | Data is updating% | 20.1% |
| Smoking | Data is updating% | 17.1% |
| Binge Drinking | Data is updating% | 19.8% |
| Obesity | Data is updating% | 36.6% |
| Disability Percentage | 11.0% | 13.0% |
Health Statistics Comparison: Falls vs Fairfield
- In Fairfield, a higher percentage report poor mental health at 15.5% compared to 0.0% in Falls.
- Higher depression rates are seen in Fairfield at 20.1% versus 0.0% in Falls.
- Fairfield has a higher smoking rate at 17.1% compared to 0.0% in Falls.
- More residents engage in binge drinking in Fairfield at 19.8% compared to 0.0% in Falls.
- Fairfield has higher obesity rates at 36.6% compared to 0.0% in Falls.
- There is a higher percentage of disabled individuals in Fairfield at 13.0% compared to 11.0% in Falls.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Falls | Fairfield |
|---|---|---|
| No Schooling | 0.3% (5) | 0.1% (6) |
| High School Diploma | 32.0% (544) | 12.1% (1,145) |
| Less than High School | 9.8% (166) | 6.3% (594) |
| Bachelor's Degree and Higher | 19.1% (324) | 38.1% (3,604) |
Education Levels Comparison: Falls vs Fairfield
- A higher percentage of residents in Falls have no formal schooling at 0.3% compared to 0.1% in Fairfield.
- A higher percentage of residents in Falls hold a high school diploma at 32.0% compared to 12.1% in Fairfield.
- More residents in Falls have less than a high school education at 9.8% compared to 6.3% in Fairfield.
- In Fairfield, a larger share of residents have a bachelor's degree or higher at 38.1% compared to 19.1% in Falls.
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.