Demographics details for Santa rosa, CA vs Gatesville, TX
Population Overview
Compare main population characteristics in Santa rosa, CA vs Gatesville, TX.
Data | Santa rosa | Gatesville |
---|---|---|
Population | 177,181 | 16,198 |
Median Age | 40.4 years | 39.4 years |
Median Income | $92,604 | $46,536 |
Married Families | 39.0% | 27.0% |
Poverty Level | 10% | 12% |
Unemployment Rate | 4.2 | 4.5 |
Population Comparison: Santa rosa vs Gatesville
- In Santa rosa, the population is higher at 177,181, compared to 16,198 in Gatesville.
- Residents in Santa rosa have a higher median age of 40.4 years compared to 39.4 years in Gatesville.
- Santa rosa has a higher median income of $92,604 compared to $46,536 in Gatesville.
- A higher percentage of married families is found in Santa rosa at 39.0% compared to 27.0% in Gatesville.
- The poverty level is higher in Gatesville at 12%, compared to 10% in Santa rosa.
- Gatesville has a higher unemployment rate at 4.5% compared to 4.2% in Santa rosa.
Demographics
Demographics Santa rosa vs Gatesville provide insight into the diversity of the communities to compare.
Demographic | Santa rosa | Gatesville |
---|---|---|
Black | 2 | 15 |
White | 46 | 42 |
Asian | 6 | 1 |
Hispanic | 34 | 25 |
Two or More Races | 11 | 17 |
American Indian | 1 | Data is updating |
Demographics Comparison: Santa rosa vs Gatesville
- In Gatesville, the percentage of Black residents is higher at 15% compared to 2% in Santa rosa.
- Santa rosa has a higher percentage of White residents at 46% compared to 42% in Gatesville.
- The Asian population is larger in Santa rosa at 6% compared to 1% in Gatesville.
- The Hispanic community is larger in Santa rosa at 34% compared to 25% in Gatesville.
- The percentage of residents identifying as two or more races is higher in Gatesville at 17%, compared to 11% in Santa rosa.
- A greater percentage of American Indian residents live in Santa rosa at 1% compared to 0% in Gatesville.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Santa rosa | Gatesville |
---|---|---|
Mental Health Not Good | 16.0% | 21.2% |
Physical Health Not Good | 10.5% | 14.3% |
Depression | 20.3% | 29.6% |
Smoking | 12.0% | 22.2% |
Binge Drinking | 19.4% | 15.1% |
Obesity | 29.1% | 43.6% |
Disability Percentage | 12.0% | 11.0% |
Health Statistics Comparison: Santa rosa vs Gatesville
- In Gatesville, a higher percentage report poor mental health at 21.2% compared to 16.0% in Santa rosa.
- Higher depression rates are seen in Gatesville at 29.6% versus 20.3% in Santa rosa.
- Gatesville has a higher smoking rate at 22.2% compared to 12.0% in Santa rosa.
- Binge drinking is more common in Santa rosa at 19.4% compared to 15.1% in Gatesville.
- Gatesville has higher obesity rates at 43.6% compared to 29.1% in Santa rosa.
- Disability percentages are higher in Santa rosa at 12.0% compared to 11.0% in Gatesville.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Santa rosa | Gatesville |
---|---|---|
No Schooling | 2.1% (3,760) | 0.8% (133) |
High School Diploma | 10.9% (19,354) | 13.1% (2,118) |
Less than High School | 19.8% (35,085) | 28.0% (4,538) |
Bachelor's Degree and Higher | 24.9% (44,058) | 6.9% (1,111) |
Education Levels Comparison: Santa rosa vs Gatesville
- A higher percentage of residents in Santa rosa have no formal schooling at 2.1% compared to 0.8% in Gatesville.
- In Gatesville, the rate of residents with high school diplomas is higher at 13.1% compared to 10.9% in Santa rosa.
- The percentage of residents with less than a high school education is higher in Gatesville at 28.0%, compared to 19.8% in Santa rosa.
- A higher percentage of residents in Santa rosa hold a bachelor's degree or higher at 24.9% compared to 6.9% in Gatesville.
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.