Demographics details for Mount union, PA vs Iowa city, IA
Population Overview
Compare main population characteristics in Mount union, PA vs Iowa city, IA.
| Data | Mount union | Iowa city |
|---|---|---|
| Population | 2,267 | 75,233 |
| Median Age | 34.8 years | 26.0 years |
| Median Income | $38,382 | $54,879 |
| Married Families | 25.0% | 29.0% |
| Poverty Level | 12% | 14% |
| Unemployment Rate | 4.2 | 2.4 |
Population Comparison: Mount union vs Iowa city
- The population in Iowa city is higher at 75,233, compared to 2,267 in Mount union.
- Residents in Mount union have a higher median age of 34.8 years compared to 26.0 years in Iowa city.
- Iowa city has a higher median income of $54,879, compared to $38,382 in Mount union.
- In Iowa city, the percentage of married families is higher at 29.0%, compared to 25.0% in Mount union.
- The poverty level is higher in Iowa city at 14%, compared to 12% in Mount union.
- The unemployment rate in Mount union is higher at 4.2%, compared to 2.4% in Iowa city.
Demographics
Demographics Mount union vs Iowa city provide insight into the diversity of the communities to compare.
| Demographic | Mount union | Iowa city |
|---|---|---|
| Black | 8 | 8 |
| White | 87 | 72 |
| Asian | Data is updating | 8 |
| Hispanic | 1 | 7 |
| Two or More Races | 4 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Mount union vs Iowa city
- The percentage of Black residents is the same in both Mount union and Iowa city at 8%.
- Mount union has a higher percentage of White residents at 87% compared to 72% in Iowa city.
- In Iowa city, the Asian population stands at 8%, greater than 0% in Mount union.
- Iowa city has a higher percentage of Hispanic residents at 7%, compared to 1% in Mount union.
- The percentage of residents identifying as two or more races is higher in Iowa city at 5%, compared to 4% in Mount union.
- The percentage of American Indian residents is the same in both Mount union and Iowa city at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Mount union | Iowa city |
|---|---|---|
| Mental Health Not Good | 20.7% | 15.6% |
| Physical Health Not Good | 15.3% | 9.2% |
| Depression | 25.6% | 19.6% |
| Smoking | 26.4% | 15.0% |
| Binge Drinking | 16.4% | 20.4% |
| Obesity | 43.0% | 33.9% |
| Disability Percentage | 20.0% | 8.0% |
Health Statistics Comparison: Mount union vs Iowa city
- More residents in Mount union report poor mental health at 20.7% compared to 15.6% in Iowa city.
- Depression is more prevalent in Mount union at 25.6% compared to 19.6% in Iowa city.
- Smoking is more prevalent in Mount union at 26.4% compared to 15.0% in Iowa city.
- More residents engage in binge drinking in Iowa city at 20.4% compared to 16.4% in Mount union.
- Obesity rates are higher in Mount union at 43.0% compared to 33.9% in Iowa city.
- Disability percentages are higher in Mount union at 20.0% compared to 8.0% in Iowa city.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Mount union | Iowa city |
|---|---|---|
| No Schooling | 1.9% (43) | 0.2% (164) |
| High School Diploma | 28.5% (646) | 6.2% (4,655) |
| Less than High School | 16.3% (370) | 2.7% (2,064) |
| Bachelor's Degree and Higher | 6.3% (142) | 30.8% (23,180) |
Education Levels Comparison: Mount union vs Iowa city
- A higher percentage of residents in Mount union have no formal schooling at 1.9% compared to 0.2% in Iowa city.
- A higher percentage of residents in Mount union hold a high school diploma at 28.5% compared to 6.2% in Iowa city.
- More residents in Mount union have less than a high school education at 16.3% compared to 2.7% in Iowa city.
- In Iowa city, a larger share of residents have a bachelor's degree or higher at 30.8% compared to 6.3% in Mount union.
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.