Demographics details for Lawrence, KS vs Yorba linda, CA
Population Overview
Compare main population characteristics in Lawrence, KS vs Yorba linda, CA.
Data | Lawrence | Yorba linda |
---|---|---|
Population | 95,794 | 67,089 |
Median Age | 28.8 years | 44.3 years |
Median Income | $59,834 | $148,325 |
Married Families | 32.0% | 52.0% |
Poverty Level | 12% | 5% |
Unemployment Rate | 3.9 | 3.8 |
Population Comparison: Lawrence vs Yorba linda
- In Lawrence, the population is higher at 95,794, compared to 67,089 in Yorba linda.
- The median age in Yorba linda is higher at 44.3 years, compared to 28.8 years in Lawrence.
- Yorba linda has a higher median income of $148,325, compared to $59,834 in Lawrence.
- In Yorba linda, the percentage of married families is higher at 52.0%, compared to 32.0% in Lawrence.
- Lawrence has a higher poverty level at 12% compared to 5% in Yorba linda.
- The unemployment rate in Lawrence is higher at 3.9%, compared to 3.8% in Yorba linda.
Demographics
Demographics Lawrence vs Yorba linda provide insight into the diversity of the communities to compare.
Demographic | Lawrence | Yorba linda |
---|---|---|
Black | 5 | 1 |
White | 71 | 47 |
Asian | 6 | 24 |
Hispanic | 7 | 18 |
Two or More Races | 9 | 10 |
American Indian | 2 | Data is updating |
Demographics Comparison: Lawrence vs Yorba linda
- A higher percentage of Black residents are in Lawrence at 5% compared to 1% in Yorba linda.
- Lawrence has a higher percentage of White residents at 71% compared to 47% in Yorba linda.
- In Yorba linda, the Asian population stands at 24%, greater than 6% in Lawrence.
- Yorba linda has a higher percentage of Hispanic residents at 18%, compared to 7% in Lawrence.
- The percentage of residents identifying as two or more races is higher in Yorba linda at 10%, compared to 9% in Lawrence.
- A greater percentage of American Indian residents live in Lawrence at 2% compared to 0% in Yorba linda.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Lawrence | Yorba linda |
---|---|---|
Mental Health Not Good | 16.5% | 13.2% |
Physical Health Not Good | 9.5% | 7.9% |
Depression | 22.3% | 17.4% |
Smoking | 14.8% | 7.9% |
Binge Drinking | 19.6% | 17.8% |
Obesity | 32.8% | 23.2% |
Disability Percentage | 10.0% | 8.0% |
Health Statistics Comparison: Lawrence vs Yorba linda
- More residents in Lawrence report poor mental health at 16.5% compared to 13.2% in Yorba linda.
- Depression is more prevalent in Lawrence at 22.3% compared to 17.4% in Yorba linda.
- Smoking is more prevalent in Lawrence at 14.8% compared to 7.9% in Yorba linda.
- Binge drinking is more common in Lawrence at 19.6% compared to 17.8% in Yorba linda.
- Obesity rates are higher in Lawrence at 32.8% compared to 23.2% in Yorba linda.
- Disability percentages are higher in Lawrence at 10.0% compared to 8.0% in Yorba linda.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Lawrence | Yorba linda |
---|---|---|
No Schooling | 0.5% (466) | 0.4% (244) |
High School Diploma | 8.2% (7,882) | 7.7% (5,151) |
Less than High School | 4.0% (3,784) | 5.2% (3,507) |
Bachelor's Degree and Higher | 31.1% (29,776) | 39.5% (26,487) |
Education Levels Comparison: Lawrence vs Yorba linda
- A higher percentage of residents in Lawrence have no formal schooling at 0.5% compared to 0.4% in Yorba linda.
- A higher percentage of residents in Lawrence hold a high school diploma at 8.2% compared to 7.7% in Yorba linda.
- The percentage of residents with less than a high school education is higher in Yorba linda at 5.2%, compared to 4.0% in Lawrence.
- In Yorba linda, a larger share of residents have a bachelor's degree or higher at 39.5% compared to 31.1% in Lawrence.
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.