Demographics details for Flower mound, TX vs Irvine, CA
Population Overview
Compare main population characteristics in Flower mound, TX vs Irvine, CA.
| Data | Flower mound | Irvine |
|---|---|---|
| Population | 78,486 | 313,685 |
| Median Age | 42.6 years | 33.8 years |
| Median Income | $154,471 | $122,948 |
| Married Families | 51.0% | 39.0% |
| Poverty Level | 4% | 6% |
| Unemployment Rate | 3.7 | 4.2 |
Population Comparison: Flower mound vs Irvine
- The population in Irvine is higher at 313,685, compared to 78,486 in Flower mound.
- Residents in Flower mound have a higher median age of 42.6 years compared to 33.8 years in Irvine.
- Flower mound has a higher median income of $154,471 compared to $122,948 in Irvine.
- A higher percentage of married families is found in Flower mound at 51.0% compared to 39.0% in Irvine.
- The poverty level is higher in Irvine at 6%, compared to 4% in Flower mound.
- Irvine has a higher unemployment rate at 4.2% compared to 3.7% in Flower mound.
Demographics
Demographics Flower mound vs Irvine provide insight into the diversity of the communities to compare.
| Demographic | Flower mound | Irvine |
|---|---|---|
| Black | 3 | 2 |
| White | 66 | 34 |
| Asian | 13 | 43 |
| Hispanic | 11 | 11 |
| Two or More Races | 7 | 10 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Flower mound vs Irvine
- A higher percentage of Black residents are in Flower mound at 3% compared to 2% in Irvine.
- Flower mound has a higher percentage of White residents at 66% compared to 34% in Irvine.
- In Irvine, the Asian population stands at 43%, greater than 13% in Flower mound.
- The percentage of Hispanic residents is the same in both Flower mound and Irvine at 11%.
- The percentage of residents identifying as two or more races is higher in Irvine at 10%, compared to 7% in Flower mound.
- The percentage of American Indian residents is the same in both Flower mound and Irvine at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Flower mound | Irvine |
|---|---|---|
| Mental Health Not Good | 13.3% | 12.7% |
| Physical Health Not Good | 7.7% | 7.7% |
| Depression | 21.1% | 15.4% |
| Smoking | 9.5% | 7.5% |
| Binge Drinking | 19.7% | 14.9% |
| Obesity | 28.5% | 21.0% |
| Disability Percentage | 6.0% | 5.0% |
Health Statistics Comparison: Flower mound vs Irvine
- More residents in Flower mound report poor mental health at 13.3% compared to 12.7% in Irvine.
- Depression is more prevalent in Flower mound at 21.1% compared to 15.4% in Irvine.
- Smoking is more prevalent in Flower mound at 9.5% compared to 7.5% in Irvine.
- Binge drinking is more common in Flower mound at 19.7% compared to 14.9% in Irvine.
- Obesity rates are higher in Flower mound at 28.5% compared to 21.0% in Irvine.
- Disability percentages are higher in Flower mound at 6.0% compared to 5.0% in Irvine.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Flower mound | Irvine |
|---|---|---|
| No Schooling | 0.7% (519) | 0.8% (2,579) |
| High School Diploma | 6.2% (4,886) | 3.8% (12,010) |
| Less than High School | 2.7% (2,090) | 3.4% (10,664) |
| Bachelor's Degree and Higher | 42.3% (33,161) | 44.3% (138,926) |
Education Levels Comparison: Flower mound vs Irvine
- In Irvine, a larger percentage of residents lack formal schooling at 0.8% compared to 0.7% in Flower mound.
- A higher percentage of residents in Flower mound hold a high school diploma at 6.2% compared to 3.8% in Irvine.
- The percentage of residents with less than a high school education is higher in Irvine at 3.4%, compared to 2.7% in Flower mound.
- In Irvine, a larger share of residents have a bachelor's degree or higher at 44.3% compared to 42.3% in Flower mound.
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.