Demographics details for Dimmitt, TX vs Santa maria, CA
Population Overview
Compare main population characteristics in Dimmitt, TX vs Santa maria, CA.
| Data | Dimmitt | Santa maria |
|---|---|---|
| Population | 4,118 | 110,125 |
| Median Age | 31.0 years | 29.3 years |
| Median Income | $64,848 | $81,237 |
| Married Families | 37.0% | 31.0% |
| Poverty Level | 13% | 15% |
| Unemployment Rate | 3.9 | 5.0 |
Population Comparison: Dimmitt vs Santa maria
- The population in Santa maria is higher at 110,125, compared to 4,118 in Dimmitt.
- Residents in Dimmitt have a higher median age of 31.0 years compared to 29.3 years in Santa maria.
- Santa maria has a higher median income of $81,237, compared to $64,848 in Dimmitt.
- A higher percentage of married families is found in Dimmitt at 37.0% compared to 31.0% in Santa maria.
- The poverty level is higher in Santa maria at 15%, compared to 13% in Dimmitt.
- Santa maria has a higher unemployment rate at 5.0% compared to 3.9% in Dimmitt.
Demographics
Demographics Dimmitt vs Santa maria provide insight into the diversity of the communities to compare.
| Demographic | Dimmitt | Santa maria |
|---|---|---|
| Black | 1 | 1 |
| White | -5 | -13 |
| Asian | 1 | 5 |
| Hispanic | 76 | 77 |
| Two or More Races | 26 | 28 |
| American Indian | 1 | 2 |
Demographics Comparison: Dimmitt vs Santa maria
- The percentage of Black residents is the same in both Dimmitt and Santa maria at 1%.
- Dimmitt has a higher percentage of White residents at -5% compared to -13% in Santa maria.
- In Santa maria, the Asian population stands at 5%, greater than 1% in Dimmitt.
- Santa maria has a higher percentage of Hispanic residents at 77%, compared to 76% in Dimmitt.
- The percentage of residents identifying as two or more races is higher in Santa maria at 28%, compared to 26% in Dimmitt.
- In Santa maria, the percentage of American Indian residents is higher at 2%, compared to 1% in Dimmitt.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Dimmitt | Santa maria |
|---|---|---|
| Mental Health Not Good | 16.9% | 17.2% |
| Physical Health Not Good | 13.2% | 14.2% |
| Depression | 21.6% | 19.5% |
| Smoking | 16.5% | 15.3% |
| Binge Drinking | 17.5% | 14.9% |
| Obesity | 38.5% | 32.8% |
| Disability Percentage | 12.0% | 10.0% |
Health Statistics Comparison: Dimmitt vs Santa maria
- In Santa maria, a higher percentage report poor mental health at 17.2% compared to 16.9% in Dimmitt.
- Depression is more prevalent in Dimmitt at 21.6% compared to 19.5% in Santa maria.
- Smoking is more prevalent in Dimmitt at 16.5% compared to 15.3% in Santa maria.
- Binge drinking is more common in Dimmitt at 17.5% compared to 14.9% in Santa maria.
- Obesity rates are higher in Dimmitt at 38.5% compared to 32.8% in Santa maria.
- Disability percentages are higher in Dimmitt at 12.0% compared to 10.0% in Santa maria.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Dimmitt | Santa maria |
|---|---|---|
| No Schooling | 1.1% (45) | 3.9% (4,329) |
| High School Diploma | 15.7% (647) | 10.4% (11,486) |
| Less than High School | 27.0% (1,112) | 40.4% (44,477) |
| Bachelor's Degree and Higher | 13.9% (571) | 8.1% (8,930) |
Education Levels Comparison: Dimmitt vs Santa maria
- In Santa maria, a larger percentage of residents lack formal schooling at 3.9% compared to 1.1% in Dimmitt.
- A higher percentage of residents in Dimmitt hold a high school diploma at 15.7% compared to 10.4% in Santa maria.
- The percentage of residents with less than a high school education is higher in Santa maria at 40.4%, compared to 27.0% in Dimmitt.
- A higher percentage of residents in Dimmitt hold a bachelor's degree or higher at 13.9% compared to 8.1% in Santa maria.
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.