Demographics details for Waverly hall, GA vs Montgomery, IL
Population Overview
Compare main population characteristics in Waverly hall, GA vs Montgomery, IL.
Data | Waverly hall | Montgomery |
---|---|---|
Population | 656 | 21,799 |
Median Age | 53.5 years | 31.7 years |
Median Income | $38,281 | $105,240 |
Married Families | 21.0% | 36.0% |
Poverty Level | 15% | 5% |
Unemployment Rate | 4.5 | 3.5 |
Population Comparison: Waverly hall vs Montgomery
- The population in Montgomery is higher at 21,799, compared to 656 in Waverly hall.
- Residents in Waverly hall have a higher median age of 53.5 years compared to 31.7 years in Montgomery.
- Montgomery has a higher median income of $105,240, compared to $38,281 in Waverly hall.
- In Montgomery, the percentage of married families is higher at 36.0%, compared to 21.0% in Waverly hall.
- Waverly hall has a higher poverty level at 15% compared to 5% in Montgomery.
- The unemployment rate in Waverly hall is higher at 4.5%, compared to 3.5% in Montgomery.
Demographics
Demographics Waverly hall vs Montgomery provide insight into the diversity of the communities to compare.
Demographic | Waverly hall | Montgomery |
---|---|---|
Black | 51 | 5 |
White | 46 | 52 |
Asian | Data is updating | 1 |
Hispanic | 1 | 31 |
Two or More Races | 2 | 11 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Waverly hall vs Montgomery
- A higher percentage of Black residents are in Waverly hall at 51% compared to 5% in Montgomery.
- The percentage of White residents is higher in Montgomery at 52% compared to 46% in Waverly hall.
- In Montgomery, the Asian population stands at 1%, greater than 0% in Waverly hall.
- Montgomery has a higher percentage of Hispanic residents at 31%, compared to 1% in Waverly hall.
- The percentage of residents identifying as two or more races is higher in Montgomery at 11%, compared to 2% in Waverly hall.
- The percentage of American Indian residents is the same in both Waverly hall and Montgomery at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Waverly hall | Montgomery |
---|---|---|
Mental Health Not Good | 15.0% | 14.6% |
Physical Health Not Good | 10.0% | 10.3% |
Depression | 19.0% | 18.8% |
Smoking | 13.9% | 14.1% |
Binge Drinking | 17.9% | 17.3% |
Obesity | 35.0% | 34.4% |
Disability Percentage | 22.0% | 4.0% |
Health Statistics Comparison: Waverly hall vs Montgomery
- More residents in Waverly hall report poor mental health at 15.0% compared to 14.6% in Montgomery.
- Depression is more prevalent in Waverly hall at 19.0% compared to 18.8% in Montgomery.
- Montgomery has a higher smoking rate at 14.1% compared to 13.9% in Waverly hall.
- Binge drinking is more common in Waverly hall at 17.9% compared to 17.3% in Montgomery.
- Obesity rates are higher in Waverly hall at 35.0% compared to 34.4% in Montgomery.
- Disability percentages are higher in Waverly hall at 22.0% 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 | Waverly hall | Montgomery |
---|---|---|
No Schooling | 0.0% (Data is updating) | 1.2% (255) |
High School Diploma | 34.0% (223) | 15.6% (3,406) |
Less than High School | 30.9% (203) | 8.2% (1,792) |
Bachelor's Degree and Higher | 14.6% (96) | 15.5% (3,372) |
Education Levels Comparison: Waverly hall vs Montgomery
- In Montgomery, a larger percentage of residents lack formal schooling at 1.2% compared to 0.0% in Waverly hall.
- A higher percentage of residents in Waverly hall hold a high school diploma at 34.0% compared to 15.6% in Montgomery.
- More residents in Waverly hall have less than a high school education at 30.9% 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 14.6% in Waverly hall.
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.