Demographics details for Flower mound, TX vs Montgomery, IL
Population Overview
Compare main population characteristics in Flower mound, TX vs Montgomery, IL.
| Data | Flower mound | Montgomery |
|---|---|---|
| Population | 78,486 | 21,799 |
| Median Age | 42.6 years | 31.7 years |
| Median Income | $154,471 | $105,240 |
| Married Families | 51.0% | 36.0% |
| Poverty Level | 4% | 5% |
| Unemployment Rate | 3.7 | 3.5 |
Population Comparison: Flower mound vs Montgomery
- In Flower mound, the population is higher at 78,486, compared to 21,799 in Montgomery.
- Residents in Flower mound have a higher median age of 42.6 years compared to 31.7 years in Montgomery.
- Flower mound has a higher median income of $154,471 compared to $105,240 in Montgomery.
- A higher percentage of married families is found in Flower mound at 51.0% compared to 36.0% in Montgomery.
- The poverty level is higher in Montgomery at 5%, compared to 4% in Flower mound.
- The unemployment rate in Flower mound is higher at 3.7%, compared to 3.5% in Montgomery.
Demographics
Demographics Flower mound vs Montgomery provide insight into the diversity of the communities to compare.
| Demographic | Flower mound | Montgomery |
|---|---|---|
| Black | 3 | 5 |
| White | 66 | 52 |
| Asian | 13 | 1 |
| Hispanic | 11 | 31 |
| Two or More Races | 7 | 11 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Flower mound vs Montgomery
- In Montgomery, the percentage of Black residents is higher at 5% compared to 3% in Flower mound.
- Flower mound has a higher percentage of White residents at 66% compared to 52% in Montgomery.
- The Asian population is larger in Flower mound at 13% compared to 1% in Montgomery.
- Montgomery has a higher percentage of Hispanic residents at 31%, compared to 11% in Flower mound.
- The percentage of residents identifying as two or more races is higher in Montgomery at 11%, compared to 7% in Flower mound.
- The percentage of American Indian residents is the same in both Flower mound and Montgomery at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Flower mound | Montgomery |
|---|---|---|
| Mental Health Not Good | 13.3% | 14.6% |
| Physical Health Not Good | 7.7% | 10.3% |
| Depression | 21.1% | 18.8% |
| Smoking | 9.5% | 14.1% |
| Binge Drinking | 19.7% | 17.3% |
| Obesity | 28.5% | 34.4% |
| Disability Percentage | 6.0% | 4.0% |
Health Statistics Comparison: Flower mound vs Montgomery
- In Montgomery, a higher percentage report poor mental health at 14.6% compared to 13.3% in Flower mound.
- Depression is more prevalent in Flower mound at 21.1% compared to 18.8% in Montgomery.
- Montgomery has a higher smoking rate at 14.1% compared to 9.5% in Flower mound.
- Binge drinking is more common in Flower mound at 19.7% compared to 17.3% in Montgomery.
- Montgomery has higher obesity rates at 34.4% compared to 28.5% in Flower mound.
- Disability percentages are higher in Flower mound at 6.0% 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 | Flower mound | Montgomery |
|---|---|---|
| No Schooling | 0.7% (519) | 1.2% (255) |
| High School Diploma | 6.2% (4,886) | 15.6% (3,406) |
| Less than High School | 2.7% (2,090) | 8.2% (1,792) |
| Bachelor's Degree and Higher | 42.3% (33,161) | 15.5% (3,372) |
Education Levels Comparison: Flower mound vs Montgomery
- In Montgomery, a larger percentage of residents lack formal schooling at 1.2% compared to 0.7% in Flower mound.
- In Montgomery, the rate of residents with high school diplomas is higher at 15.6% compared to 6.2% in Flower mound.
- The percentage of residents with less than a high school education is higher in Montgomery at 8.2%, compared to 2.7% in Flower mound.
- A higher percentage of residents in Flower mound hold a bachelor's degree or higher at 42.3% compared to 15.5% in Montgomery.
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.