Demographics details for Eolia, KY vs Montgomery, IL
Population Overview
Compare main population characteristics in Eolia, KY vs Montgomery, IL.
| Data | Eolia | Montgomery |
|---|---|---|
| Population | 1,094 | 21,799 |
| Median Age | 41.2 years | 31.7 years |
| Median Income | $31,114 | $105,240 |
| Married Families | 39.0% | 36.0% |
| Poverty Level | 22% | 5% |
| Unemployment Rate | 4.0 | 3.5 |
Population Comparison: Eolia vs Montgomery
- The population in Montgomery is higher at 21,799, compared to 1,094 in Eolia.
- Residents in Eolia have a higher median age of 41.2 years compared to 31.7 years in Montgomery.
- Montgomery has a higher median income of $105,240, compared to $31,114 in Eolia.
- A higher percentage of married families is found in Eolia at 39.0% compared to 36.0% in Montgomery.
- Eolia has a higher poverty level at 22% compared to 5% in Montgomery.
- The unemployment rate in Eolia is higher at 4.0%, compared to 3.5% in Montgomery.
Demographics
Demographics Eolia vs Montgomery provide insight into the diversity of the communities to compare.
| Demographic | Eolia | Montgomery |
|---|---|---|
| Black | Data is updating | 5 |
| White | 94 | 52 |
| Asian | Data is updating | 1 |
| Hispanic | Data is updating | 31 |
| Two or More Races | 6 | 11 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Eolia vs Montgomery
- In Montgomery, the percentage of Black residents is higher at 5% compared to 0% in Eolia.
- Eolia has a higher percentage of White residents at 94% compared to 52% in Montgomery.
- In Montgomery, the Asian population stands at 1%, greater than 0% in Eolia.
- Montgomery has a higher percentage of Hispanic residents at 31%, compared to 0% in Eolia.
- The percentage of residents identifying as two or more races is higher in Montgomery at 11%, compared to 6% in Eolia.
- The percentage of American Indian residents is the same in both Eolia and Montgomery at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Eolia | Montgomery |
|---|---|---|
| Mental Health Not Good | Data is updating% | 14.6% |
| Physical Health Not Good | Data is updating% | 10.3% |
| Depression | Data is updating% | 18.8% |
| Smoking | Data is updating% | 14.1% |
| Binge Drinking | Data is updating% | 17.3% |
| Obesity | Data is updating% | 34.4% |
| Disability Percentage | 27.0% | 4.0% |
Health Statistics Comparison: Eolia vs Montgomery
- In Montgomery, a higher percentage report poor mental health at 14.6% compared to 0.0% in Eolia.
- Higher depression rates are seen in Montgomery at 18.8% versus 0.0% in Eolia.
- Montgomery has a higher smoking rate at 14.1% compared to 0.0% in Eolia.
- More residents engage in binge drinking in Montgomery at 17.3% compared to 0.0% in Eolia.
- Montgomery has higher obesity rates at 34.4% compared to 0.0% in Eolia.
- Disability percentages are higher in Eolia at 27.0% compared to 4.0% in Montgomery.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Eolia | Montgomery |
|---|---|---|
| No Schooling | 5.1% (56) | 1.2% (255) |
| High School Diploma | 18.6% (204) | 15.6% (3,406) |
| Less than High School | 35.2% (385) | 8.2% (1,792) |
| Bachelor's Degree and Higher | 6.8% (74) | 15.5% (3,372) |
Education Levels Comparison: Eolia vs Montgomery
- A higher percentage of residents in Eolia have no formal schooling at 5.1% compared to 1.2% in Montgomery.
- A higher percentage of residents in Eolia hold a high school diploma at 18.6% compared to 15.6% in Montgomery.
- More residents in Eolia have less than a high school education at 35.2% compared to 8.2% in Montgomery.
- In Montgomery, a larger share of residents have a bachelor's degree or higher at 15.5% compared to 6.8% in Eolia.
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.