Demographics details for League city, TX vs Corona, CA
Population Overview
Compare main population characteristics in League city, TX vs Corona, CA.
| Data | League city | Corona |
|---|---|---|
| Population | 115,418 | 159,567 |
| Median Age | 37.1 years | 35.9 years |
| Median Income | $117,316 | $103,727 |
| Married Families | 48.0% | 40.0% |
| Poverty Level | 6% | 11% |
| Unemployment Rate | 3.8 | 4.1 |
Population Comparison: League city vs Corona
- The population in Corona is higher at 159,567, compared to 115,418 in League city.
- Residents in League city have a higher median age of 37.1 years compared to 35.9 years in Corona.
- League city has a higher median income of $117,316 compared to $103,727 in Corona.
- A higher percentage of married families is found in League city at 48.0% compared to 40.0% in Corona.
- The poverty level is higher in Corona at 11%, compared to 6% in League city.
- Corona has a higher unemployment rate at 4.1% compared to 3.8% in League city.
Demographics
Demographics League city vs Corona provide insight into the diversity of the communities to compare.
| Demographic | League city | Corona |
|---|---|---|
| Black | 8 | 6 |
| White | 57 | 21 |
| Asian | 6 | 11 |
| Hispanic | 19 | 48 |
| Two or More Races | 10 | 13 |
| American Indian | Data is updating | 1 |
Demographics Comparison: League city vs Corona
- A higher percentage of Black residents are in League city at 8% compared to 6% in Corona.
- League city has a higher percentage of White residents at 57% compared to 21% in Corona.
- In Corona, the Asian population stands at 11%, greater than 6% in League city.
- Corona has a higher percentage of Hispanic residents at 48%, compared to 19% in League city.
- The percentage of residents identifying as two or more races is higher in Corona at 13%, compared to 10% in League city.
- In Corona, the percentage of American Indian residents is higher at 1%, compared to 0% in League city.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | League city | Corona |
|---|---|---|
| Mental Health Not Good | 14.1% | 15.1% |
| Physical Health Not Good | 8.6% | 10.6% |
| Depression | 21.0% | 16.6% |
| Smoking | 11.2% | 11.8% |
| Binge Drinking | 19.5% | 16.7% |
| Obesity | 30.4% | 34.1% |
| Disability Percentage | 9.0% | 7.0% |
Health Statistics Comparison: League city vs Corona
- In Corona, a higher percentage report poor mental health at 15.1% compared to 14.1% in League city.
- Depression is more prevalent in League city at 21.0% compared to 16.6% in Corona.
- Corona has a higher smoking rate at 11.8% compared to 11.2% in League city.
- Binge drinking is more common in League city at 19.5% compared to 16.7% in Corona.
- Corona has higher obesity rates at 34.1% compared to 30.4% in League city.
- Disability percentages are higher in League city at 9.0% compared to 7.0% in Corona.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | League city | Corona |
|---|---|---|
| No Schooling | 0.5% (597) | 1.9% (3,102) |
| High School Diploma | 8.9% (10,242) | 14.3% (22,788) |
| Less than High School | 4.9% (5,692) | 17.4% (27,748) |
| Bachelor's Degree and Higher | 31.5% (36,360) | 19.6% (31,335) |
Education Levels Comparison: League city vs Corona
- In Corona, a larger percentage of residents lack formal schooling at 1.9% compared to 0.5% in League city.
- In Corona, the rate of residents with high school diplomas is higher at 14.3% compared to 8.9% in League city.
- The percentage of residents with less than a high school education is higher in Corona at 17.4%, compared to 4.9% in League city.
- A higher percentage of residents in League city hold a bachelor's degree or higher at 31.5% compared to 19.6% in Corona.
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.