Demographics details for Seymour, IN vs Santa maria, CA
Population Overview
Compare main population characteristics in Seymour, IN vs Santa maria, CA.
| Data | Seymour | Santa maria |
|---|---|---|
| Population | 21,618 | 110,125 |
| Median Age | 34.5 years | 29.3 years |
| Median Income | $57,347 | $81,237 |
| Married Families | 32.0% | 31.0% |
| Poverty Level | 12% | 15% |
| Unemployment Rate | 3.5 | 5.0 |
Population Comparison: Seymour vs Santa maria
- The population in Santa maria is higher at 110,125, compared to 21,618 in Seymour.
- Residents in Seymour have a higher median age of 34.5 years compared to 29.3 years in Santa maria.
- Santa maria has a higher median income of $81,237, compared to $57,347 in Seymour.
- A higher percentage of married families is found in Seymour at 32.0% compared to 31.0% in Santa maria.
- The poverty level is higher in Santa maria at 15%, compared to 12% in Seymour.
- Santa maria has a higher unemployment rate at 5.0% compared to 3.5% in Seymour.
Demographics
Demographics Seymour vs Santa maria provide insight into the diversity of the communities to compare.
| Demographic | Seymour | Santa maria |
|---|---|---|
| Black | 2 | 1 |
| White | 68 | -13 |
| Asian | 3 | 5 |
| Hispanic | 15 | 77 |
| Two or More Races | 11 | 28 |
| American Indian | 1 | 2 |
Demographics Comparison: Seymour vs Santa maria
- A higher percentage of Black residents are in Seymour at 2% compared to 1% in Santa maria.
- Seymour has a higher percentage of White residents at 68% compared to -13% in Santa maria.
- In Santa maria, the Asian population stands at 5%, greater than 3% in Seymour.
- Santa maria has a higher percentage of Hispanic residents at 77%, compared to 15% in Seymour.
- The percentage of residents identifying as two or more races is higher in Santa maria at 28%, compared to 11% in Seymour.
- In Santa maria, the percentage of American Indian residents is higher at 2%, compared to 1% in Seymour.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Seymour | Santa maria |
|---|---|---|
| Mental Health Not Good | 18.0% | 17.2% |
| Physical Health Not Good | 12.9% | 14.2% |
| Depression | 26.9% | 19.5% |
| Smoking | 21.5% | 15.3% |
| Binge Drinking | 16.3% | 14.9% |
| Obesity | 42.2% | 32.8% |
| Disability Percentage | 15.0% | 10.0% |
Health Statistics Comparison: Seymour vs Santa maria
- More residents in Seymour report poor mental health at 18.0% compared to 17.2% in Santa maria.
- Depression is more prevalent in Seymour at 26.9% compared to 19.5% in Santa maria.
- Smoking is more prevalent in Seymour at 21.5% compared to 15.3% in Santa maria.
- Binge drinking is more common in Seymour at 16.3% compared to 14.9% in Santa maria.
- Obesity rates are higher in Seymour at 42.2% compared to 32.8% in Santa maria.
- Disability percentages are higher in Seymour at 15.0% 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 | Seymour | Santa maria |
|---|---|---|
| No Schooling | 1.6% (348) | 3.9% (4,329) |
| High School Diploma | 20.2% (4,374) | 10.4% (11,486) |
| Less than High School | 17.4% (3,765) | 40.4% (44,477) |
| Bachelor's Degree and Higher | 12.2% (2,648) | 8.1% (8,930) |
Education Levels Comparison: Seymour vs Santa maria
- In Santa maria, a larger percentage of residents lack formal schooling at 3.9% compared to 1.6% in Seymour.
- A higher percentage of residents in Seymour hold a high school diploma at 20.2% 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 17.4% in Seymour.
- A higher percentage of residents in Seymour hold a bachelor's degree or higher at 12.2% 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.