Demographics details for Lavon, TX vs Oceanside, CA
Population Overview
Compare main population characteristics in Lavon, TX vs Oceanside, CA.
Data | Lavon | Oceanside |
---|---|---|
Population | 6,517 | 172,199 |
Median Age | 33.9 years | 37.5 years |
Median Income | $122,889 | $86,701 |
Married Families | 35.0% | 41.0% |
Poverty Level | 3% | 9% |
Unemployment Rate | 4.1 | 4.6 |
Population Comparison: Lavon vs Oceanside
- The population in Oceanside is higher at 172,199, compared to 6,517 in Lavon.
- The median age in Oceanside is higher at 37.5 years, compared to 33.9 years in Lavon.
- Lavon has a higher median income of $122,889 compared to $86,701 in Oceanside.
- In Oceanside, the percentage of married families is higher at 41.0%, compared to 35.0% in Lavon.
- The poverty level is higher in Oceanside at 9%, compared to 3% in Lavon.
- Oceanside has a higher unemployment rate at 4.6% compared to 4.1% in Lavon.
Demographics
Demographics Lavon vs Oceanside provide insight into the diversity of the communities to compare.
Demographic | Lavon | Oceanside |
---|---|---|
Black | 13 | 4 |
White | 61 | 31 |
Asian | 2 | 7 |
Hispanic | 14 | 38 |
Two or More Races | 7 | 19 |
American Indian | 3 | 1 |
Demographics Comparison: Lavon vs Oceanside
- A higher percentage of Black residents are in Lavon at 13% compared to 4% in Oceanside.
- Lavon has a higher percentage of White residents at 61% compared to 31% in Oceanside.
- In Oceanside, the Asian population stands at 7%, greater than 2% in Lavon.
- Oceanside has a higher percentage of Hispanic residents at 38%, compared to 14% in Lavon.
- The percentage of residents identifying as two or more races is higher in Oceanside at 19%, compared to 7% in Lavon.
- A greater percentage of American Indian residents live in Lavon at 3% compared to 1% in Oceanside.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Lavon | Oceanside |
---|---|---|
Mental Health Not Good | 16.4% | 16.2% |
Physical Health Not Good | 10.3% | 10.9% |
Depression | 23.8% | 17.9% |
Smoking | 14.8% | 11.7% |
Binge Drinking | 18.8% | 18.9% |
Obesity | 30.2% | 25.0% |
Disability Percentage | 7.0% | 12.0% |
Health Statistics Comparison: Lavon vs Oceanside
- More residents in Lavon report poor mental health at 16.4% compared to 16.2% in Oceanside.
- Depression is more prevalent in Lavon at 23.8% compared to 17.9% in Oceanside.
- Smoking is more prevalent in Lavon at 14.8% compared to 11.7% in Oceanside.
- More residents engage in binge drinking in Oceanside at 18.9% compared to 18.8% in Lavon.
- Obesity rates are higher in Lavon at 30.2% compared to 25.0% in Oceanside.
- There is a higher percentage of disabled individuals in Oceanside at 12.0% compared to 7.0% in Lavon.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Lavon | Oceanside |
---|---|---|
No Schooling | 0.3% (21) | 1.7% (2,927) |
High School Diploma | 6.2% (402) | 12.0% (20,662) |
Less than High School | 3.4% (223) | 17.7% (30,528) |
Bachelor's Degree and Higher | 18.3% (1,193) | 23.5% (40,490) |
Education Levels Comparison: Lavon vs Oceanside
- In Oceanside, a larger percentage of residents lack formal schooling at 1.7% compared to 0.3% in Lavon.
- In Oceanside, the rate of residents with high school diplomas is higher at 12.0% compared to 6.2% in Lavon.
- The percentage of residents with less than a high school education is higher in Oceanside at 17.7%, compared to 3.4% in Lavon.
- In Oceanside, a larger share of residents have a bachelor's degree or higher at 23.5% compared to 18.3% in Lavon.
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.