Demographics details for Cullom, IL vs Mountain home, ID
Population Overview
Compare main population characteristics in Cullom, IL vs Mountain home, ID.
| Data | Cullom | Mountain home |
|---|---|---|
| Population | 511 | 16,469 |
| Median Age | 41.6 years | 31.3 years |
| Median Income | $58,472 | $53,108 |
| Married Families | 35.0% | 36.0% |
| Poverty Level | 9% | 12% |
| Unemployment Rate | 3.5 | 3.1 |
Population Comparison: Cullom vs Mountain home
- The population in Mountain home is higher at 16,469, compared to 511 in Cullom.
- Residents in Cullom have a higher median age of 41.6 years compared to 31.3 years in Mountain home.
- Cullom has a higher median income of $58,472 compared to $53,108 in Mountain home.
- In Mountain home, the percentage of married families is higher at 36.0%, compared to 35.0% in Cullom.
- The poverty level is higher in Mountain home at 12%, compared to 9% in Cullom.
- The unemployment rate in Cullom is higher at 3.5%, compared to 3.1% in Mountain home.
Demographics
Demographics Cullom vs Mountain home provide insight into the diversity of the communities to compare.
| Demographic | Cullom | Mountain home |
|---|---|---|
| Black | Data is updating | 2 |
| White | 82 | 69 |
| Asian | Data is updating | 4 |
| Hispanic | 11 | 14 |
| Two or More Races | 7 | 9 |
| American Indian | Data is updating | 2 |
Demographics Comparison: Cullom vs Mountain home
- In Mountain home, the percentage of Black residents is higher at 2% compared to 0% in Cullom.
- Cullom has a higher percentage of White residents at 82% compared to 69% in Mountain home.
- In Mountain home, the Asian population stands at 4%, greater than 0% in Cullom.
- Mountain home has a higher percentage of Hispanic residents at 14%, compared to 11% in Cullom.
- The percentage of residents identifying as two or more races is higher in Mountain home at 9%, compared to 7% in Cullom.
- In Mountain home, the percentage of American Indian residents is higher at 2%, compared to 0% in Cullom.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Cullom | Mountain home |
|---|---|---|
| Mental Health Not Good | 17.2% | 16.9% |
| Physical Health Not Good | 11.6% | 12.6% |
| Depression | 23.0% | 22.4% |
| Smoking | 18.7% | 18.3% |
| Binge Drinking | 17.9% | 15.8% |
| Obesity | 38.7% | 36.1% |
| Disability Percentage | 23.0% | 18.0% |
Health Statistics Comparison: Cullom vs Mountain home
- More residents in Cullom report poor mental health at 17.2% compared to 16.9% in Mountain home.
- Depression is more prevalent in Cullom at 23.0% compared to 22.4% in Mountain home.
- Smoking is more prevalent in Cullom at 18.7% compared to 18.3% in Mountain home.
- Binge drinking is more common in Cullom at 17.9% compared to 15.8% in Mountain home.
- Obesity rates are higher in Cullom at 38.7% compared to 36.1% in Mountain home.
- Disability percentages are higher in Cullom at 23.0% compared to 18.0% in Mountain home.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Cullom | Mountain home |
|---|---|---|
| No Schooling | 2.2% (11) | 1.7% (273) |
| High School Diploma | 19.0% (97) | 16.3% (2,690) |
| Less than High School | 11.4% (58) | 12.8% (2,116) |
| Bachelor's Degree and Higher | 9.4% (48) | 10.4% (1,720) |
Education Levels Comparison: Cullom vs Mountain home
- A higher percentage of residents in Cullom have no formal schooling at 2.2% compared to 1.7% in Mountain home.
- A higher percentage of residents in Cullom hold a high school diploma at 19.0% compared to 16.3% in Mountain home.
- The percentage of residents with less than a high school education is higher in Mountain home at 12.8%, compared to 11.4% in Cullom.
- In Mountain home, a larger share of residents have a bachelor's degree or higher at 10.4% 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.