Demographics details for Fair oaks, CA vs Flower mound, TX
Population Overview
Compare main population characteristics in Fair oaks, CA vs Flower mound, TX.
Data | Fair oaks | Flower mound |
---|---|---|
Population | 32,754 | 78,486 |
Median Age | 45.7 years | 42.6 years |
Median Income | $112,138 | $154,471 |
Married Families | 45.0% | 51.0% |
Poverty Level | 6% | 4% |
Unemployment Rate | 4.5 | 3.7 |
Population Comparison: Fair oaks vs Flower mound
- The population in Flower mound is higher at 78,486, compared to 32,754 in Fair oaks.
- Residents in Fair oaks have a higher median age of 45.7 years compared to 42.6 years in Flower mound.
- Flower mound has a higher median income of $154,471, compared to $112,138 in Fair oaks.
- In Flower mound, the percentage of married families is higher at 51.0%, compared to 45.0% in Fair oaks.
- Fair oaks has a higher poverty level at 6% compared to 4% in Flower mound.
- The unemployment rate in Fair oaks is higher at 4.5%, compared to 3.7% in Flower mound.
Demographics
Demographics Fair oaks vs Flower mound provide insight into the diversity of the communities to compare.
Demographic | Fair oaks | Flower mound |
---|---|---|
Black | 2 | 3 |
White | 68 | 66 |
Asian | 5 | 13 |
Hispanic | 14 | 11 |
Two or More Races | 10 | 7 |
American Indian | 1 | Data is updating |
Demographics Comparison: Fair oaks vs Flower mound
- In Flower mound, the percentage of Black residents is higher at 3% compared to 2% in Fair oaks.
- Fair oaks has a higher percentage of White residents at 68% compared to 66% in Flower mound.
- In Flower mound, the Asian population stands at 13%, greater than 5% in Fair oaks.
- The Hispanic community is larger in Fair oaks at 14% compared to 11% in Flower mound.
- More residents identify as two or more races in Fair oaks at 10% compared to 7% in Flower mound.
- A greater percentage of American Indian residents live in Fair oaks at 1% compared to 0% in Flower mound.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Fair oaks | Flower mound |
---|---|---|
Mental Health Not Good | 15.6% | 13.3% |
Physical Health Not Good | 9.3% | 7.7% |
Depression | 20.3% | 21.1% |
Smoking | 10.6% | 9.5% |
Binge Drinking | 17.8% | 19.7% |
Obesity | 29.9% | 28.5% |
Disability Percentage | 11.0% | 6.0% |
Health Statistics Comparison: Fair oaks vs Flower mound
- More residents in Fair oaks report poor mental health at 15.6% compared to 13.3% in Flower mound.
- Higher depression rates are seen in Flower mound at 21.1% versus 20.3% in Fair oaks.
- Smoking is more prevalent in Fair oaks at 10.6% compared to 9.5% in Flower mound.
- More residents engage in binge drinking in Flower mound at 19.7% compared to 17.8% in Fair oaks.
- Obesity rates are higher in Fair oaks at 29.9% compared to 28.5% in Flower mound.
- Disability percentages are higher in Fair oaks at 11.0% 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 | Fair oaks | Flower mound |
---|---|---|
No Schooling | 1.0% (312) | 0.7% (519) |
High School Diploma | 9.5% (3,112) | 6.2% (4,886) |
Less than High School | 4.9% (1,601) | 2.7% (2,090) |
Bachelor's Degree and Higher | 35.4% (11,579) | 42.3% (33,161) |
Education Levels Comparison: Fair oaks vs Flower mound
- A higher percentage of residents in Fair oaks have no formal schooling at 1.0% compared to 0.7% in Flower mound.
- A higher percentage of residents in Fair oaks hold a high school diploma at 9.5% compared to 6.2% in Flower mound.
- More residents in Fair oaks have less than a high school education at 4.9% 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 35.4% in Fair oaks.
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.