Demographics details for Onalaska, TX vs San mateo, CA
Population Overview
Compare main population characteristics in Onalaska, TX vs San mateo, CA.
| Data | Onalaska | San mateo |
|---|---|---|
| Population | 3,205 | 100,984 |
| Median Age | 45.2 years | 38.1 years |
| Median Income | $56,168 | $149,152 |
| Married Families | 35.0% | 44.0% |
| Poverty Level | 12% | 8% |
| Unemployment Rate | 4.5 | 3.4 |
Population Comparison: Onalaska vs San mateo
- The population in San mateo is higher at 100,984, compared to 3,205 in Onalaska.
- Residents in Onalaska have a higher median age of 45.2 years compared to 38.1 years in San mateo.
- San mateo has a higher median income of $149,152, compared to $56,168 in Onalaska.
- In San mateo, the percentage of married families is higher at 44.0%, compared to 35.0% in Onalaska.
- Onalaska has a higher poverty level at 12% compared to 8% in San mateo.
- The unemployment rate in Onalaska is higher at 4.5%, compared to 3.4% in San mateo.
Demographics
Demographics Onalaska vs San mateo provide insight into the diversity of the communities to compare.
| Demographic | Onalaska | San mateo |
|---|---|---|
| Black | 1 | 2 |
| White | 91 | 32 |
| Asian | Data is updating | 28 |
| Hispanic | 3 | 25 |
| Two or More Races | 5 | 12 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Onalaska vs San mateo
- In San mateo, 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 32% in San mateo.
- In San mateo, the Asian population stands at 28%, greater than 0% in Onalaska.
- San mateo has a higher percentage of Hispanic residents at 25%, compared to 3% in Onalaska.
- The percentage of residents identifying as two or more races is higher in San mateo at 12%, compared to 5% in Onalaska.
- In San mateo, 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 | San mateo |
|---|---|---|
| Mental Health Not Good | 19.0% | 13.1% |
| Physical Health Not Good | 12.5% | 8.4% |
| Depression | 26.0% | 15.5% |
| Smoking | 20.4% | 8.7% |
| Binge Drinking | 19.4% | 16.2% |
| Obesity | 39.9% | 22.8% |
| Disability Percentage | 24.0% | 9.0% |
Health Statistics Comparison: Onalaska vs San mateo
- More residents in Onalaska report poor mental health at 19.0% compared to 13.1% in San mateo.
- Depression is more prevalent in Onalaska at 26.0% compared to 15.5% in San mateo.
- Smoking is more prevalent in Onalaska at 20.4% compared to 8.7% in San mateo.
- Binge drinking is more common in Onalaska at 19.4% compared to 16.2% in San mateo.
- Obesity rates are higher in Onalaska at 39.9% compared to 22.8% in San mateo.
- Disability percentages are higher in Onalaska at 24.0% compared to 9.0% in San mateo.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Onalaska | San mateo |
|---|---|---|
| No Schooling | 0.7% (21) | 1.8% (1,834) |
| High School Diploma | 15.3% (491) | 8.2% (8,262) |
| Less than High School | 21.5% (689) | 11.5% (11,608) |
| Bachelor's Degree and Higher | 5.0% (161) | 44.1% (44,508) |
Education Levels Comparison: Onalaska vs San mateo
- In San mateo, a larger percentage of residents lack formal schooling at 1.8% compared to 0.7% in Onalaska.
- A higher percentage of residents in Onalaska hold a high school diploma at 15.3% compared to 8.2% in San mateo.
- More residents in Onalaska have less than a high school education at 21.5% compared to 11.5% in San mateo.
- In San mateo, a larger share of residents have a bachelor's degree or higher at 44.1% 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.