Demographics details for Cullom, IL vs Murrysville, PA
Population Overview
Compare main population characteristics in Cullom, IL vs Murrysville, PA.
| Data | Cullom | Murrysville |
|---|---|---|
| Population | 511 | 20,724 |
| Median Age | 41.6 years | 50.1 years |
| Median Income | $58,472 | $117,067 |
| Married Families | 35.0% | 56.0% |
| Poverty Level | 9% | 4% |
| Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Cullom vs Murrysville
- The population in Murrysville is higher at 20,724, compared to 511 in Cullom.
- The median age in Murrysville is higher at 50.1 years, compared to 41.6 years in Cullom.
- Murrysville has a higher median income of $117,067, compared to $58,472 in Cullom.
- In Murrysville, the percentage of married families is higher at 56.0%, compared to 35.0% in Cullom.
- Cullom has a higher poverty level at 9% compared to 4% in Murrysville.
- The unemployment rate is the same in both Cullom and Murrysville at 3.5%.
Demographics
Demographics Cullom vs Murrysville provide insight into the diversity of the communities to compare.
| Demographic | Cullom | Murrysville |
|---|---|---|
| Black | Data is updating | 1 |
| White | 82 | 90 |
| Asian | Data is updating | 4 |
| Hispanic | 11 | 2 |
| Two or More Races | 7 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Cullom vs Murrysville
- In Murrysville, the percentage of Black residents is higher at 1% compared to 0% in Cullom.
- The percentage of White residents is higher in Murrysville at 90% compared to 82% in Cullom.
- In Murrysville, the Asian population stands at 4%, greater than 0% in Cullom.
- The Hispanic community is larger in Cullom at 11% compared to 2% in Murrysville.
- More residents identify as two or more races in Cullom at 7% compared to 3% in Murrysville.
- The percentage of American Indian residents is the same in both Cullom and Murrysville at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Cullom | Murrysville |
|---|---|---|
| Mental Health Not Good | 17.2% | 13.8% |
| Physical Health Not Good | 11.6% | 8.4% |
| Depression | 23.0% | 19.6% |
| Smoking | 18.7% | 11.1% |
| Binge Drinking | 17.9% | 20.4% |
| Obesity | 38.7% | 28.1% |
| Disability Percentage | 23.0% | 10.0% |
Health Statistics Comparison: Cullom vs Murrysville
- More residents in Cullom report poor mental health at 17.2% compared to 13.8% in Murrysville.
- Depression is more prevalent in Cullom at 23.0% compared to 19.6% in Murrysville.
- Smoking is more prevalent in Cullom at 18.7% compared to 11.1% in Murrysville.
- More residents engage in binge drinking in Murrysville at 20.4% compared to 17.9% in Cullom.
- Obesity rates are higher in Cullom at 38.7% compared to 28.1% in Murrysville.
- Disability percentages are higher in Cullom at 23.0% compared to 10.0% in Murrysville.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Cullom | Murrysville |
|---|---|---|
| No Schooling | 2.2% (11) | 0.0% (Data is updating) |
| High School Diploma | 19.0% (97) | 14.1% (2,929) |
| Less than High School | 11.4% (58) | 2.9% (600) |
| Bachelor's Degree and Higher | 9.4% (48) | 41.6% (8,613) |
Education Levels Comparison: Cullom vs Murrysville
- A higher percentage of residents in Cullom have no formal schooling at 2.2% compared to 0.0% in Murrysville.
- A higher percentage of residents in Cullom hold a high school diploma at 19.0% compared to 14.1% in Murrysville.
- More residents in Cullom have less than a high school education at 11.4% compared to 2.9% in Murrysville.
- In Murrysville, a larger share of residents have a bachelor's degree or higher at 41.6% compared to 9.4% in Cullom.
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.