Demographics details for Montgomery, IL vs Wheeler, TX
Population Overview
Compare main population characteristics in Montgomery, IL vs Wheeler, TX.
Data | Montgomery | Wheeler |
---|---|---|
Population | 21,799 | 4,807 |
Median Age | 31.7 years | 40.0 years |
Median Income | $105,240 | $58,158 |
Married Families | 36.0% | 49.0% |
Poverty Level | 5% | 14% |
Unemployment Rate | 3.5 | 4.1 |
Population Comparison: Montgomery vs Wheeler
- In Montgomery, the population is higher at 21,799, compared to 4,807 in Wheeler.
- The median age in Wheeler is higher at 40.0 years, compared to 31.7 years in Montgomery.
- Montgomery has a higher median income of $105,240 compared to $58,158 in Wheeler.
- In Wheeler, the percentage of married families is higher at 49.0%, compared to 36.0% in Montgomery.
- The poverty level is higher in Wheeler at 14%, compared to 5% in Montgomery.
- Wheeler has a higher unemployment rate at 4.1% compared to 3.5% in Montgomery.
Demographics
Demographics Montgomery vs Wheeler provide insight into the diversity of the communities to compare.
Demographic | Montgomery | Wheeler |
---|---|---|
Black | 5 | 3 |
White | 52 | 63 |
Asian | 1 | Data is updating |
Hispanic | 31 | 26 |
Two or More Races | 11 | 8 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Montgomery vs Wheeler
- A higher percentage of Black residents are in Montgomery at 5% compared to 3% in Wheeler.
- The percentage of White residents is higher in Wheeler at 63% compared to 52% in Montgomery.
- The Asian population is larger in Montgomery at 1% compared to 0% in Wheeler.
- The Hispanic community is larger in Montgomery at 31% compared to 26% in Wheeler.
- More residents identify as two or more races in Montgomery at 11% compared to 8% in Wheeler.
- The percentage of American Indian residents is the same in both Montgomery and Wheeler at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Montgomery | Wheeler |
---|---|---|
Mental Health Not Good | 14.6% | 18.9% |
Physical Health Not Good | 10.3% | 13.6% |
Depression | 18.8% | 24.8% |
Smoking | 14.1% | 20.3% |
Binge Drinking | 17.3% | 17.8% |
Obesity | 34.4% | 39.0% |
Disability Percentage | 4.0% | 16.0% |
Health Statistics Comparison: Montgomery vs Wheeler
- In Wheeler, a higher percentage report poor mental health at 18.9% compared to 14.6% in Montgomery.
- Higher depression rates are seen in Wheeler at 24.8% versus 18.8% in Montgomery.
- Wheeler has a higher smoking rate at 20.3% compared to 14.1% in Montgomery.
- More residents engage in binge drinking in Wheeler at 17.8% compared to 17.3% in Montgomery.
- Wheeler has higher obesity rates at 39.0% compared to 34.4% in Montgomery.
- There is a higher percentage of disabled individuals in Wheeler at 16.0% 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 | Montgomery | Wheeler |
---|---|---|
No Schooling | 1.2% (255) | 1.2% (59) |
High School Diploma | 15.6% (3,406) | 23.7% (1,141) |
Less than High School | 8.2% (1,792) | 19.7% (948) |
Bachelor's Degree and Higher | 15.5% (3,372) | 12.4% (596) |
Education Levels Comparison: Montgomery vs Wheeler
- The percentage of residents with no formal schooling is the same in both Montgomery and Wheeler at 1.2%.
- In Wheeler, the rate of residents with high school diplomas is higher at 23.7% compared to 15.6% in Montgomery.
- The percentage of residents with less than a high school education is higher in Wheeler at 19.7%, compared to 8.2% in Montgomery.
- A higher percentage of residents in Montgomery hold a bachelor's degree or higher at 15.5% compared to 12.4% in Wheeler.
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.