Demographics details for Irving, TX vs Big bear lake, CA
Population Overview
Compare main population characteristics in Irving, TX vs Big bear lake, CA.
Data | Irving | Big bear lake |
---|---|---|
Population | 254,715 | 5,031 |
Median Age | 32.4 years | 47.5 years |
Median Income | $76,686 | $70,020 |
Married Families | 39.0% | 42.0% |
Poverty Level | 12% | 10% |
Unemployment Rate | 3.9 | 5.0 |
Population Comparison: Irving vs Big bear lake
- In Irving, the population is higher at 254,715, compared to 5,031 in Big bear lake.
- The median age in Big bear lake is higher at 47.5 years, compared to 32.4 years in Irving.
- Irving has a higher median income of $76,686 compared to $70,020 in Big bear lake.
- In Big bear lake, the percentage of married families is higher at 42.0%, compared to 39.0% in Irving.
- Irving has a higher poverty level at 12% compared to 10% in Big bear lake.
- Big bear lake has a higher unemployment rate at 5.0% compared to 3.9% in Irving.
Demographics
Demographics Irving vs Big bear lake provide insight into the diversity of the communities to compare.
Demographic | Irving | Big bear lake |
---|---|---|
Black | 13 | Data is updating |
White | 11 | 50 |
Asian | 22 | 3 |
Hispanic | 43 | 30 |
Two or More Races | 11 | 16 |
American Indian | Data is updating | 1 |
Demographics Comparison: Irving vs Big bear lake
- A higher percentage of Black residents are in Irving at 13% compared to 0% in Big bear lake.
- The percentage of White residents is higher in Big bear lake at 50% compared to 11% in Irving.
- The Asian population is larger in Irving at 22% compared to 3% in Big bear lake.
- The Hispanic community is larger in Irving at 43% compared to 30% in Big bear lake.
- The percentage of residents identifying as two or more races is higher in Big bear lake at 16%, compared to 11% in Irving.
- In Big bear lake, the percentage of American Indian residents is higher at 1%, compared to 0% in Irving.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Irving | Big bear lake |
---|---|---|
Mental Health Not Good | 15.9% | 17.4% |
Physical Health Not Good | 11.6% | 12.1% |
Depression | 21.0% | 20.5% |
Smoking | 15.4% | 14.1% |
Binge Drinking | 17.4% | 17.0% |
Obesity | 32.4% | 37.0% |
Disability Percentage | 7.0% | 9.0% |
Health Statistics Comparison: Irving vs Big bear lake
- In Big bear lake, a higher percentage report poor mental health at 17.4% compared to 15.9% in Irving.
- Depression is more prevalent in Irving at 21.0% compared to 20.5% in Big bear lake.
- Smoking is more prevalent in Irving at 15.4% compared to 14.1% in Big bear lake.
- Binge drinking is more common in Irving at 17.4% compared to 17.0% in Big bear lake.
- Big bear lake has higher obesity rates at 37.0% compared to 32.4% in Irving.
- There is a higher percentage of disabled individuals in Big bear lake at 9.0% compared to 7.0% in Irving.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Irving | Big bear lake |
---|---|---|
No Schooling | 1.8% (4,699) | 0.7% (37) |
High School Diploma | 10.3% (26,322) | 16.4% (825) |
Less than High School | 24.8% (63,108) | 12.6% (634) |
Bachelor's Degree and Higher | 26.1% (66,363) | 25.7% (1,294) |
Education Levels Comparison: Irving vs Big bear lake
- A higher percentage of residents in Irving have no formal schooling at 1.8% compared to 0.7% in Big bear lake.
- In Big bear lake, the rate of residents with high school diplomas is higher at 16.4% compared to 10.3% in Irving.
- More residents in Irving have less than a high school education at 24.8% compared to 12.6% in Big bear lake.
- A higher percentage of residents in Irving hold a bachelor's degree or higher at 26.1% compared to 25.7% in Big bear lake.
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.