Demographics details for Kanawha, IA vs Mount union, PA
Population Overview
Compare main population characteristics in Kanawha, IA vs Mount union, PA.
| Data | Kanawha | Mount union |
|---|---|---|
| Population | 643 | 2,267 |
| Median Age | 29.8 years | 34.8 years |
| Median Income | $63,889 | $38,382 |
| Married Families | 58.0% | 25.0% |
| Poverty Level | 9% | 12% |
| Unemployment Rate | 3.2 | 4.2 |
Population Comparison: Kanawha vs Mount union
- The population in Mount union is higher at 2,267, compared to 643 in Kanawha.
- The median age in Mount union is higher at 34.8 years, compared to 29.8 years in Kanawha.
- Kanawha has a higher median income of $63,889 compared to $38,382 in Mount union.
- A higher percentage of married families is found in Kanawha at 58.0% compared to 25.0% in Mount union.
- The poverty level is higher in Mount union at 12%, compared to 9% in Kanawha.
- Mount union has a higher unemployment rate at 4.2% compared to 3.2% in Kanawha.
Demographics
Demographics Kanawha vs Mount union provide insight into the diversity of the communities to compare.
| Demographic | Kanawha | Mount union |
|---|---|---|
| Black | Data is updating | 8 |
| White | 70 | 87 |
| Asian | 1 | Data is updating |
| Hispanic | 18 | 1 |
| Two or More Races | 11 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Kanawha vs Mount union
- In Mount union, the percentage of Black residents is higher at 8% compared to 0% in Kanawha.
- The percentage of White residents is higher in Mount union at 87% compared to 70% in Kanawha.
- The Asian population is larger in Kanawha at 1% compared to 0% in Mount union.
- The Hispanic community is larger in Kanawha at 18% compared to 1% in Mount union.
- More residents identify as two or more races in Kanawha at 11% compared to 4% in Mount union.
- The percentage of American Indian residents is the same in both Kanawha and Mount union at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Kanawha | Mount union |
|---|---|---|
| Mental Health Not Good | 16.0% | 20.7% |
| Physical Health Not Good | 10.2% | 15.3% |
| Depression | 19.3% | 25.6% |
| Smoking | 18.5% | 26.4% |
| Binge Drinking | 21.4% | 16.4% |
| Obesity | 36.9% | 43.0% |
| Disability Percentage | 20.0% | 20.0% |
Health Statistics Comparison: Kanawha vs Mount union
- In Mount union, a higher percentage report poor mental health at 20.7% compared to 16.0% in Kanawha.
- Higher depression rates are seen in Mount union at 25.6% versus 19.3% in Kanawha.
- Mount union has a higher smoking rate at 26.4% compared to 18.5% in Kanawha.
- Binge drinking is more common in Kanawha at 21.4% compared to 16.4% in Mount union.
- Mount union has higher obesity rates at 43.0% compared to 36.9% in Kanawha.
- Disability percentages are the same in both Kanawha and Mount union at 20.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Kanawha | Mount union |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.9% (43) |
| High School Diploma | 29.4% (189) | 28.5% (646) |
| Less than High School | 9.6% (62) | 16.3% (370) |
| Bachelor's Degree and Higher | 24.7% (159) | 6.3% (142) |
Education Levels Comparison: Kanawha vs Mount union
- In Mount union, a larger percentage of residents lack formal schooling at 1.9% compared to 0.0% in Kanawha.
- A higher percentage of residents in Kanawha hold a high school diploma at 29.4% compared to 28.5% in Mount union.
- The percentage of residents with less than a high school education is higher in Mount union at 16.3%, compared to 9.6% in Kanawha.
- A higher percentage of residents in Kanawha hold a bachelor's degree or higher at 24.7% 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.