Demographics details for Santa maria, CA vs Dike, TX
Population Overview
Compare main population characteristics in Santa maria, CA vs Dike, TX.
| Data | Santa maria | Dike |
|---|---|---|
| Population | 110,125 | 103 |
| Median Age | 29.3 years | 44.0 years |
| Median Income | $81,237 | $50,000 |
| Married Families | 31.0% | 20.0% |
| Poverty Level | 15% | 15% |
| Unemployment Rate | 5.0 | 4.0 |
Population Comparison: Santa maria vs Dike
- In Santa maria, the population is higher at 110,125, compared to 103 in Dike.
- The median age in Dike is higher at 44.0 years, compared to 29.3 years in Santa maria.
- Santa maria has a higher median income of $81,237 compared to $50,000 in Dike.
- A higher percentage of married families is found in Santa maria at 31.0% compared to 20.0% in Dike.
- The poverty level is identical in both Santa maria and Dike at 15%.
- The unemployment rate in Santa maria is higher at 5.0%, compared to 4.0% in Dike.
Demographics
Demographics Santa maria vs Dike provide insight into the diversity of the communities to compare.
| Demographic | Santa maria | Dike |
|---|---|---|
| Black | 1 | Data is updating |
| White | -13 | 100 |
| Asian | 5 | Data is updating |
| Hispanic | 77 | Data is updating |
| Two or More Races | 28 | Data is updating |
| American Indian | 2 | Data is updating |
Demographics Comparison: Santa maria vs Dike
- A higher percentage of Black residents are in Santa maria at 1% compared to 0% in Dike.
- The percentage of White residents is higher in Dike at 100% compared to -13% in Santa maria.
- The Asian population is larger in Santa maria at 5% compared to 0% in Dike.
- The Hispanic community is larger in Santa maria at 77% compared to 0% in Dike.
- More residents identify as two or more races in Santa maria at 28% compared to 0% in Dike.
- A greater percentage of American Indian residents live in Santa maria at 2% compared to 0% in Dike.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Santa maria | Dike |
|---|---|---|
| Mental Health Not Good | 17.2% | Data is updating% |
| Physical Health Not Good | 14.2% | Data is updating% |
| Depression | 19.5% | Data is updating% |
| Smoking | 15.3% | Data is updating% |
| Binge Drinking | 14.9% | Data is updating% |
| Obesity | 32.8% | Data is updating% |
| Disability Percentage | 10.0% | Data is updating% |
Health Statistics Comparison: Santa maria vs Dike
- More residents in Santa maria report poor mental health at 17.2% compared to 0.0% in Dike.
- Depression is more prevalent in Santa maria at 19.5% compared to 0.0% in Dike.
- Smoking is more prevalent in Santa maria at 15.3% compared to 0.0% in Dike.
- Binge drinking is more common in Santa maria at 14.9% compared to 0.0% in Dike.
- Obesity rates are higher in Santa maria at 32.8% compared to 0.0% in Dike.
- Disability percentages are higher in Santa maria at 10.0% compared to 0.0% in Dike.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Santa maria | Dike |
|---|---|---|
| No Schooling | 3.9% (4,329) | 0.0% (Data is updating) |
| High School Diploma | 10.4% (11,486) | 0.0% (Data is updating) |
| Less than High School | 40.4% (44,477) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 8.1% (8,930) | 0.0% (Data is updating) |
Education Levels Comparison: Santa maria vs Dike
- A higher percentage of residents in Santa maria have no formal schooling at 3.9% compared to 0.0% in Dike.
- A higher percentage of residents in Santa maria hold a high school diploma at 10.4% compared to 0.0% in Dike.
- More residents in Santa maria have less than a high school education at 40.4% compared to 0.0% in Dike.
- A higher percentage of residents in Santa maria hold a bachelor's degree or higher at 8.1% compared to 0.0% in Dike.
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.