Demographics details for Rayland, OH vs Thousand oaks, CA
Population Overview
Compare main population characteristics in Rayland, OH vs Thousand oaks, CA.
Data | Rayland | Thousand oaks |
---|---|---|
Population | 384 | 124,265 |
Median Age | 48.5 years | 44.4 years |
Median Income | $56,875 | $125,399 |
Married Families | 46.0% | 46.0% |
Poverty Level | 16% | 7% |
Unemployment Rate | 4.5 | 4.2 |
Population Comparison: Rayland vs Thousand oaks
- The population in Thousand oaks is higher at 124,265, compared to 384 in Rayland.
- Residents in Rayland have a higher median age of 48.5 years compared to 44.4 years in Thousand oaks.
- Thousand oaks has a higher median income of $125,399, compared to $56,875 in Rayland.
- The percentage of married families is the same in both Rayland and Thousand oaks at 46.0%.
- Rayland has a higher poverty level at 16% compared to 7% in Thousand oaks.
- The unemployment rate in Rayland is higher at 4.5%, compared to 4.2% in Thousand oaks.
Demographics
Demographics Rayland vs Thousand oaks provide insight into the diversity of the communities to compare.
Demographic | Rayland | Thousand oaks |
---|---|---|
Black | Data is updating | 2 |
White | 98 | 56 |
Asian | Data is updating | 9 |
Hispanic | Data is updating | 20 |
Two or More Races | 2 | 12 |
American Indian | Data is updating | 1 |
Demographics Comparison: Rayland vs Thousand oaks
- In Thousand oaks, the percentage of Black residents is higher at 2% compared to 0% in Rayland.
- Rayland has a higher percentage of White residents at 98% compared to 56% in Thousand oaks.
- In Thousand oaks, the Asian population stands at 9%, greater than 0% in Rayland.
- Thousand oaks has a higher percentage of Hispanic residents at 20%, compared to 0% in Rayland.
- The percentage of residents identifying as two or more races is higher in Thousand oaks at 12%, compared to 2% in Rayland.
- In Thousand oaks, the percentage of American Indian residents is higher at 1%, compared to 0% in Rayland.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Rayland | Thousand oaks |
---|---|---|
Mental Health Not Good | 19.8% | 13.7% |
Physical Health Not Good | 13.6% | 8.6% |
Depression | 25.8% | 17.9% |
Smoking | 25.7% | 9.2% |
Binge Drinking | 18.0% | 17.8% |
Obesity | 41.8% | 23.9% |
Disability Percentage | 24.0% | 10.0% |
Health Statistics Comparison: Rayland vs Thousand oaks
- More residents in Rayland report poor mental health at 19.8% compared to 13.7% in Thousand oaks.
- Depression is more prevalent in Rayland at 25.8% compared to 17.9% in Thousand oaks.
- Smoking is more prevalent in Rayland at 25.7% compared to 9.2% in Thousand oaks.
- Binge drinking is more common in Rayland at 18.0% compared to 17.8% in Thousand oaks.
- Obesity rates are higher in Rayland at 41.8% compared to 23.9% in Thousand oaks.
- Disability percentages are higher in Rayland at 24.0% compared to 10.0% in Thousand oaks.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Rayland | Thousand oaks |
---|---|---|
No Schooling | 1.0% (4) | 0.7% (907) |
High School Diploma | 35.4% (136) | 9.4% (11,713) |
Less than High School | 9.9% (38) | 8.3% (10,260) |
Bachelor's Degree and Higher | 7.3% (28) | 35.8% (44,456) |
Education Levels Comparison: Rayland vs Thousand oaks
- A higher percentage of residents in Rayland have no formal schooling at 1.0% compared to 0.7% in Thousand oaks.
- A higher percentage of residents in Rayland hold a high school diploma at 35.4% compared to 9.4% in Thousand oaks.
- More residents in Rayland have less than a high school education at 9.9% compared to 8.3% in Thousand oaks.
- In Thousand oaks, a larger share of residents have a bachelor's degree or higher at 35.8% compared to 7.3% in Rayland.
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.