Demographics details for Brighton, TN vs Flower mound, TX
Population Overview
Compare main population characteristics in Brighton, TN vs Flower mound, TX.
| Data | Brighton | Flower mound |
|---|---|---|
| Population | 2,881 | 78,486 |
| Median Age | 30.8 years | 42.6 years |
| Median Income | $76,202 | $154,471 |
| Married Families | 35.0% | 51.0% |
| Poverty Level | Data is updating | 4% |
| Unemployment Rate | 3.5 | 3.7 |
Population Comparison: Brighton vs Flower mound
- The population in Flower mound is higher at 78,486, compared to 2,881 in Brighton.
- The median age in Flower mound is higher at 42.6 years, compared to 30.8 years in Brighton.
- Flower mound has a higher median income of $154,471, compared to $76,202 in Brighton.
- In Flower mound, the percentage of married families is higher at 51.0%, compared to 35.0% in Brighton.
- The poverty level is higher in Flower mound at 4%, compared to 0% in Brighton.
- Flower mound has a higher unemployment rate at 3.7% compared to 3.5% in Brighton.
Demographics
Demographics Brighton vs Flower mound provide insight into the diversity of the communities to compare.
| Demographic | Brighton | Flower mound |
|---|---|---|
| Black | 19 | 3 |
| White | 76 | 66 |
| Asian | Data is updating | 13 |
| Hispanic | 3 | 11 |
| Two or More Races | 2 | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Brighton vs Flower mound
- A higher percentage of Black residents are in Brighton at 19% compared to 3% in Flower mound.
- Brighton has a higher percentage of White residents at 76% compared to 66% in Flower mound.
- In Flower mound, the Asian population stands at 13%, greater than 0% in Brighton.
- Flower mound has a higher percentage of Hispanic residents at 11%, compared to 3% in Brighton.
- The percentage of residents identifying as two or more races is higher in Flower mound at 7%, compared to 2% in Brighton.
- The percentage of American Indian residents is the same in both Brighton and Flower mound at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Brighton | Flower mound |
|---|---|---|
| Mental Health Not Good | 19.0% | 13.3% |
| Physical Health Not Good | 12.0% | 7.7% |
| Depression | 29.1% | 21.1% |
| Smoking | 19.3% | 9.5% |
| Binge Drinking | 16.5% | 19.7% |
| Obesity | 39.9% | 28.5% |
| Disability Percentage | 17.0% | 6.0% |
Health Statistics Comparison: Brighton vs Flower mound
- More residents in Brighton report poor mental health at 19.0% compared to 13.3% in Flower mound.
- Depression is more prevalent in Brighton at 29.1% compared to 21.1% in Flower mound.
- Smoking is more prevalent in Brighton at 19.3% compared to 9.5% in Flower mound.
- More residents engage in binge drinking in Flower mound at 19.7% compared to 16.5% in Brighton.
- Obesity rates are higher in Brighton at 39.9% compared to 28.5% in Flower mound.
- Disability percentages are higher in Brighton at 17.0% compared to 6.0% in Flower mound.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Brighton | Flower mound |
|---|---|---|
| No Schooling | 1.2% (35) | 0.7% (519) |
| High School Diploma | 18.8% (541) | 6.2% (4,886) |
| Less than High School | 8.8% (253) | 2.7% (2,090) |
| Bachelor's Degree and Higher | 12.2% (352) | 42.3% (33,161) |
Education Levels Comparison: Brighton vs Flower mound
- A higher percentage of residents in Brighton have no formal schooling at 1.2% compared to 0.7% in Flower mound.
- A higher percentage of residents in Brighton hold a high school diploma at 18.8% compared to 6.2% in Flower mound.
- More residents in Brighton have less than a high school education at 8.8% compared to 2.7% in Flower mound.
- In Flower mound, a larger share of residents have a bachelor's degree or higher at 42.3% compared to 12.2% in Brighton.
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.