Demographics details for San leandro, CA vs League city, TX
Population Overview
Compare main population characteristics in San leandro, CA vs League city, TX.
Data | San leandro | League city |
---|---|---|
Population | 86,762 | 115,418 |
Median Age | 41.5 years | 37.1 years |
Median Income | $97,141 | $117,316 |
Married Families | 40.0% | 48.0% |
Poverty Level | 12% | 6% |
Unemployment Rate | 4.8 | 3.8 |
Population Comparison: San leandro vs League city
- The population in League city is higher at 115,418, compared to 86,762 in San leandro.
- Residents in San leandro have a higher median age of 41.5 years compared to 37.1 years in League city.
- League city has a higher median income of $117,316, compared to $97,141 in San leandro.
- In League city, the percentage of married families is higher at 48.0%, compared to 40.0% in San leandro.
- San leandro has a higher poverty level at 12% compared to 6% in League city.
- The unemployment rate in San leandro is higher at 4.8%, compared to 3.8% in League city.
Demographics
Demographics San leandro vs League city provide insight into the diversity of the communities to compare.
Demographic | San leandro | League city |
---|---|---|
Black | 11 | 8 |
White | 12 | 57 |
Asian | 36 | 6 |
Hispanic | 29 | 19 |
Two or More Races | 11 | 10 |
American Indian | 1 | Data is updating |
Demographics Comparison: San leandro vs League city
- A higher percentage of Black residents are in San leandro at 11% compared to 8% in League city.
- The percentage of White residents is higher in League city at 57% compared to 12% in San leandro.
- The Asian population is larger in San leandro at 36% compared to 6% in League city.
- The Hispanic community is larger in San leandro at 29% compared to 19% in League city.
- More residents identify as two or more races in San leandro at 11% compared to 10% in League city.
- A greater percentage of American Indian residents live in San leandro at 1% compared to 0% in League city.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | San leandro | League city |
---|---|---|
Mental Health Not Good | 15.1% | 14.1% |
Physical Health Not Good | 9.9% | 8.6% |
Depression | 16.8% | 21.0% |
Smoking | 11.1% | 11.2% |
Binge Drinking | 14.6% | 19.5% |
Obesity | 26.7% | 30.4% |
Disability Percentage | 11.0% | 9.0% |
Health Statistics Comparison: San leandro vs League city
- More residents in San leandro report poor mental health at 15.1% compared to 14.1% in League city.
- Higher depression rates are seen in League city at 21.0% versus 16.8% in San leandro.
- League city has a higher smoking rate at 11.2% compared to 11.1% in San leandro.
- More residents engage in binge drinking in League city at 19.5% compared to 14.6% in San leandro.
- League city has higher obesity rates at 30.4% compared to 26.7% in San leandro.
- Disability percentages are higher in San leandro at 11.0% compared to 9.0% in League city.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | San leandro | League city |
---|---|---|
No Schooling | 3.5% (2,999) | 0.5% (597) |
High School Diploma | 16.2% (14,031) | 8.9% (10,242) |
Less than High School | 17.8% (15,482) | 4.9% (5,692) |
Bachelor's Degree and Higher | 25.2% (21,903) | 31.5% (36,360) |
Education Levels Comparison: San leandro vs League city
- A higher percentage of residents in San leandro have no formal schooling at 3.5% compared to 0.5% in League city.
- A higher percentage of residents in San leandro hold a high school diploma at 16.2% compared to 8.9% in League city.
- More residents in San leandro have less than a high school education at 17.8% compared to 4.9% in League city.
- In League city, a larger share of residents have a bachelor's degree or higher at 31.5% compared to 25.2% in San leandro.
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.