Demographics details for Onalaska, TX vs Santa rosa, CA
Population Overview
Compare main population characteristics in Onalaska, TX vs Santa rosa, CA.
| Data | Onalaska | Santa rosa |
|---|---|---|
| Population | 3,205 | 177,181 |
| Median Age | 45.2 years | 40.4 years |
| Median Income | $56,168 | $92,604 |
| Married Families | 35.0% | 39.0% |
| Poverty Level | 12% | 10% |
| Unemployment Rate | 4.5 | 4.2 |
Population Comparison: Onalaska vs Santa rosa
- The population in Santa rosa is higher at 177,181, compared to 3,205 in Onalaska.
- Residents in Onalaska have a higher median age of 45.2 years compared to 40.4 years in Santa rosa.
- Santa rosa has a higher median income of $92,604, compared to $56,168 in Onalaska.
- In Santa rosa, the percentage of married families is higher at 39.0%, compared to 35.0% in Onalaska.
- Onalaska has a higher poverty level at 12% compared to 10% in Santa rosa.
- The unemployment rate in Onalaska is higher at 4.5%, compared to 4.2% in Santa rosa.
Demographics
Demographics Onalaska vs Santa rosa provide insight into the diversity of the communities to compare.
| Demographic | Onalaska | Santa rosa |
|---|---|---|
| Black | 1 | 2 |
| White | 91 | 46 |
| Asian | Data is updating | 6 |
| Hispanic | 3 | 34 |
| Two or More Races | 5 | 11 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Onalaska vs Santa rosa
- In Santa rosa, the percentage of Black residents is higher at 2% compared to 1% in Onalaska.
- Onalaska has a higher percentage of White residents at 91% compared to 46% in Santa rosa.
- In Santa rosa, the Asian population stands at 6%, greater than 0% in Onalaska.
- Santa rosa has a higher percentage of Hispanic residents at 34%, compared to 3% in Onalaska.
- The percentage of residents identifying as two or more races is higher in Santa rosa at 11%, compared to 5% in Onalaska.
- In Santa rosa, the percentage of American Indian residents is higher at 1%, compared to 0% in Onalaska.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Onalaska | Santa rosa |
|---|---|---|
| Mental Health Not Good | 19.0% | 16.0% |
| Physical Health Not Good | 12.5% | 10.5% |
| Depression | 26.0% | 20.3% |
| Smoking | 20.4% | 12.0% |
| Binge Drinking | 19.4% | 19.4% |
| Obesity | 39.9% | 29.1% |
| Disability Percentage | 24.0% | 12.0% |
Health Statistics Comparison: Onalaska vs Santa rosa
- More residents in Onalaska report poor mental health at 19.0% compared to 16.0% in Santa rosa.
- Depression is more prevalent in Onalaska at 26.0% compared to 20.3% in Santa rosa.
- Smoking is more prevalent in Onalaska at 20.4% compared to 12.0% in Santa rosa.
- Binge drinking rates are similar in both Onalaska and Santa rosa at 19.4%.
- Obesity rates are higher in Onalaska at 39.9% compared to 29.1% in Santa rosa.
- Disability percentages are higher in Onalaska at 24.0% compared to 12.0% in Santa rosa.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Onalaska | Santa rosa |
|---|---|---|
| No Schooling | 0.7% (21) | 2.1% (3,760) |
| High School Diploma | 15.3% (491) | 10.9% (19,354) |
| Less than High School | 21.5% (689) | 19.8% (35,085) |
| Bachelor's Degree and Higher | 5.0% (161) | 24.9% (44,058) |
Education Levels Comparison: Onalaska vs Santa rosa
- In Santa rosa, a larger percentage of residents lack formal schooling at 2.1% compared to 0.7% in Onalaska.
- A higher percentage of residents in Onalaska hold a high school diploma at 15.3% compared to 10.9% in Santa rosa.
- More residents in Onalaska have less than a high school education at 21.5% compared to 19.8% in Santa rosa.
- In Santa rosa, a larger share of residents have a bachelor's degree or higher at 24.9% compared to 5.0% in Onalaska.
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.