Demographics details for Saint marys, WV vs Cullom, IL
Population Overview
Compare main population characteristics in Saint marys, WV vs Cullom, IL.
| Data | Saint marys | Cullom |
|---|---|---|
| Population | 1,808 | 511 |
| Median Age | 40.5 years | 41.6 years |
| Median Income | $53,125 | $58,472 |
| Married Families | 52.0% | 35.0% |
| Poverty Level | 11% | 9% |
| Unemployment Rate | 4.3 | 3.5 |
Population Comparison: Saint marys vs Cullom
- In Saint marys, the population is higher at 1,808, compared to 511 in Cullom.
- The median age in Cullom is higher at 41.6 years, compared to 40.5 years in Saint marys.
- Cullom has a higher median income of $58,472, compared to $53,125 in Saint marys.
- A higher percentage of married families is found in Saint marys at 52.0% compared to 35.0% in Cullom.
- Saint marys has a higher poverty level at 11% compared to 9% in Cullom.
- The unemployment rate in Saint marys is higher at 4.3%, compared to 3.5% in Cullom.
Demographics
Demographics Saint marys vs Cullom provide insight into the diversity of the communities to compare.
| Demographic | Saint marys | Cullom |
|---|---|---|
| Black | Data is updating | Data is updating |
| White | 91 | 82 |
| Asian | Data is updating | Data is updating |
| Hispanic | 4 | 11 |
| Two or More Races | 5 | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Saint marys vs Cullom
- The percentage of Black residents is the same in both Saint marys and Cullom at 0%.
- Saint marys has a higher percentage of White residents at 91% compared to 82% in Cullom.
- Both Saint marys and Cullom have the same percentage of Asian residents at 0%.
- Cullom has a higher percentage of Hispanic residents at 11%, compared to 4% in Saint marys.
- The percentage of residents identifying as two or more races is higher in Cullom at 7%, compared to 5% in Saint marys.
- The percentage of American Indian residents is the same in both Saint marys and Cullom at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Saint marys | Cullom |
|---|---|---|
| Mental Health Not Good | 20.2% | 17.2% |
| Physical Health Not Good | 14.0% | 11.6% |
| Depression | 28.5% | 23.0% |
| Smoking | 22.0% | 18.7% |
| Binge Drinking | 14.5% | 17.9% |
| Obesity | 44.3% | 38.7% |
| Disability Percentage | 21.0% | 23.0% |
Health Statistics Comparison: Saint marys vs Cullom
- More residents in Saint marys report poor mental health at 20.2% compared to 17.2% in Cullom.
- Depression is more prevalent in Saint marys at 28.5% compared to 23.0% in Cullom.
- Smoking is more prevalent in Saint marys at 22.0% compared to 18.7% in Cullom.
- More residents engage in binge drinking in Cullom at 17.9% compared to 14.5% in Saint marys.
- Obesity rates are higher in Saint marys at 44.3% compared to 38.7% in Cullom.
- There is a higher percentage of disabled individuals in Cullom at 23.0% compared to 21.0% in Saint marys.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Saint marys | Cullom |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 2.2% (11) |
| High School Diploma | 34.4% (622) | 19.0% (97) |
| Less than High School | 15.7% (284) | 11.4% (58) |
| Bachelor's Degree and Higher | 15.0% (272) | 9.4% (48) |
Education Levels Comparison: Saint marys vs Cullom
- In Cullom, a larger percentage of residents lack formal schooling at 2.2% compared to 0.0% in Saint marys.
- A higher percentage of residents in Saint marys hold a high school diploma at 34.4% compared to 19.0% in Cullom.
- More residents in Saint marys have less than a high school education at 15.7% compared to 11.4% in Cullom.
- A higher percentage of residents in Saint marys hold a bachelor's degree or higher at 15.0% 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.