Demographics details for Abrams, WI vs Montgomery, IL
Population Overview
Compare main population characteristics in Abrams, WI vs Montgomery, IL.
Data | Abrams | Montgomery |
---|---|---|
Population | 1,887 | 21,799 |
Median Age | 38.0 years | 31.7 years |
Median Income | $80,000 | $105,240 |
Married Families | 70.0% | 36.0% |
Poverty Level | 5% | 5% |
Unemployment Rate | 3.0 | 3.5 |
Population Comparison: Abrams vs Montgomery
- The population in Montgomery is higher at 21,799, compared to 1,887 in Abrams.
- Residents in Abrams have a higher median age of 38.0 years compared to 31.7 years in Montgomery.
- Montgomery has a higher median income of $105,240, compared to $80,000 in Abrams.
- A higher percentage of married families is found in Abrams at 70.0% compared to 36.0% in Montgomery.
- The poverty level is identical in both Abrams and Montgomery at 5%.
- Montgomery has a higher unemployment rate at 3.5% compared to 3.0% in Abrams.
Demographics
Demographics Abrams vs Montgomery provide insight into the diversity of the communities to compare.
Demographic | Abrams | Montgomery |
---|---|---|
Black | Data is updating | 5 |
White | 95 | 52 |
Asian | 2 | 1 |
Hispanic | 1 | 31 |
Two or More Races | 1 | 11 |
American Indian | 1 | Data is updating |
Demographics Comparison: Abrams vs Montgomery
- In Montgomery, the percentage of Black residents is higher at 5% compared to 0% in Abrams.
- Abrams has a higher percentage of White residents at 95% compared to 52% in Montgomery.
- The Asian population is larger in Abrams at 2% compared to 1% in Montgomery.
- Montgomery has a higher percentage of Hispanic residents at 31%, compared to 1% in Abrams.
- The percentage of residents identifying as two or more races is higher in Montgomery at 11%, compared to 1% in Abrams.
- A greater percentage of American Indian residents live in Abrams at 1% compared to 0% in Montgomery.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Abrams | 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 | Data is updating% | 4.0% |
Health Statistics Comparison: Abrams vs Montgomery
- In Montgomery, a higher percentage report poor mental health at 14.6% compared to 0.0% in Abrams.
- Higher depression rates are seen in Montgomery at 18.8% versus 0.0% in Abrams.
- Montgomery has a higher smoking rate at 14.1% compared to 0.0% in Abrams.
- More residents engage in binge drinking in Montgomery at 17.3% compared to 0.0% in Abrams.
- Montgomery has higher obesity rates at 34.4% compared to 0.0% in Abrams.
- There is a higher percentage of disabled individuals in Montgomery at 4.0% compared to 0.0% in Abrams.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Abrams | Montgomery |
---|---|---|
No Schooling | 0.0% (Data is updating) | 1.2% (255) |
High School Diploma | 0.0% (Data is updating) | 15.6% (3,406) |
Less than High School | 0.0% (Data is updating) | 8.2% (1,792) |
Bachelor's Degree and Higher | 0.0% (Data is updating) | 15.5% (3,372) |
Education Levels Comparison: Abrams vs Montgomery
- In Montgomery, a larger percentage of residents lack formal schooling at 1.2% compared to 0.0% in Abrams.
- In Montgomery, the rate of residents with high school diplomas is higher at 15.6% compared to 0.0% in Abrams.
- The percentage of residents with less than a high school education is higher in Montgomery at 8.2%, compared to 0.0% in Abrams.
- In Montgomery, a larger share of residents have a bachelor's degree or higher at 15.5% compared to 0.0% in Abrams.
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.