Demographics details for Odin, IL vs House springs, MO
Population Overview
Compare main population characteristics in Odin, IL vs House springs, MO.
| Data | Odin | House springs |
|---|---|---|
| Population | 917 | 12,300 |
| Median Age | 48.3 years | 35.0 years |
| Median Income | $41,010 | $60,000 |
| Married Families | 39.0% | 50.0% |
| Poverty Level | 10% | 10% |
| Unemployment Rate | 4.5 | 4.0 |
Population Comparison: Odin vs House springs
- The population in House springs is higher at 12,300, compared to 917 in Odin.
- Residents in Odin have a higher median age of 48.3 years compared to 35.0 years in House springs.
- House springs has a higher median income of $60,000, compared to $41,010 in Odin.
- In House springs, the percentage of married families is higher at 50.0%, compared to 39.0% in Odin.
- The poverty level is identical in both Odin and House springs at 10%.
- The unemployment rate in Odin is higher at 4.5%, compared to 4.0% in House springs.
Demographics
Demographics Odin vs House springs provide insight into the diversity of the communities to compare.
| Demographic | Odin | House springs |
|---|---|---|
| Black | 1 | 5 |
| White | 95 | 90 |
| Asian | Data is updating | 3 |
| Hispanic | 1 | 2 |
| Two or More Races | 3 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Odin vs House springs
- In House springs, the percentage of Black residents is higher at 5% compared to 1% in Odin.
- Odin has a higher percentage of White residents at 95% compared to 90% in House springs.
- In House springs, the Asian population stands at 3%, greater than 0% in Odin.
- House springs has a higher percentage of Hispanic residents at 2%, compared to 1% in Odin.
- The percentage of residents identifying as two or more races is higher in House springs at 5%, compared to 3% in Odin.
- The percentage of American Indian residents is the same in both Odin and House springs at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Odin | House springs |
|---|---|---|
| Mental Health Not Good | 17.7% | Data is updating% |
| Physical Health Not Good | 12.2% | Data is updating% |
| Depression | 23.8% | Data is updating% |
| Smoking | 20.1% | Data is updating% |
| Binge Drinking | 18.1% | Data is updating% |
| Obesity | 38.7% | Data is updating% |
| Disability Percentage | 20.0% | Data is updating% |
Health Statistics Comparison: Odin vs House springs
- More residents in Odin report poor mental health at 17.7% compared to 0.0% in House springs.
- Depression is more prevalent in Odin at 23.8% compared to 0.0% in House springs.
- Smoking is more prevalent in Odin at 20.1% compared to 0.0% in House springs.
- Binge drinking is more common in Odin at 18.1% compared to 0.0% in House springs.
- Obesity rates are higher in Odin at 38.7% compared to 0.0% in House springs.
- Disability percentages are higher in Odin at 20.0% compared to 0.0% in House springs.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Odin | House springs |
|---|---|---|
| No Schooling | 2.5% (23) | 0.0% (Data is updating) |
| High School Diploma | 24.4% (224) | 0.0% (Data is updating) |
| Less than High School | 20.5% (188) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 3.1% (28) | 0.0% (Data is updating) |
Education Levels Comparison: Odin vs House springs
- A higher percentage of residents in Odin have no formal schooling at 2.5% compared to 0.0% in House springs.
- A higher percentage of residents in Odin hold a high school diploma at 24.4% compared to 0.0% in House springs.
- More residents in Odin have less than a high school education at 20.5% compared to 0.0% in House springs.
- A higher percentage of residents in Odin hold a bachelor's degree or higher at 3.1% compared to 0.0% in House springs.
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.