Demographics details for Santa maria, CA vs Waverly, TN
Population Overview
Compare main population characteristics in Santa maria, CA vs Waverly, TN.
| Data | Santa maria | Waverly |
|---|---|---|
| Population | 110,125 | 4,297 |
| Median Age | 29.3 years | 46.7 years |
| Median Income | $81,237 | $43,750 |
| Married Families | 31.0% | 35.0% |
| Poverty Level | 15% | 12% |
| Unemployment Rate | 5.0 | 4.5 |
Population Comparison: Santa maria vs Waverly
- In Santa maria, the population is higher at 110,125, compared to 4,297 in Waverly.
- The median age in Waverly is higher at 46.7 years, compared to 29.3 years in Santa maria.
- Santa maria has a higher median income of $81,237 compared to $43,750 in Waverly.
- In Waverly, the percentage of married families is higher at 35.0%, compared to 31.0% in Santa maria.
- Santa maria has a higher poverty level at 15% compared to 12% in Waverly.
- The unemployment rate in Santa maria is higher at 5.0%, compared to 4.5% in Waverly.
Demographics
Demographics Santa maria vs Waverly provide insight into the diversity of the communities to compare.
| Demographic | Santa maria | Waverly |
|---|---|---|
| Black | 1 | 2 |
| White | -13 | 91 |
| Asian | 5 | Data is updating |
| Hispanic | 77 | 2 |
| Two or More Races | 28 | 5 |
| American Indian | 2 | Data is updating |
Demographics Comparison: Santa maria vs Waverly
- In Waverly, the percentage of Black residents is higher at 2% compared to 1% in Santa maria.
- The percentage of White residents is higher in Waverly at 91% compared to -13% in Santa maria.
- The Asian population is larger in Santa maria at 5% compared to 0% in Waverly.
- The Hispanic community is larger in Santa maria at 77% compared to 2% in Waverly.
- More residents identify as two or more races in Santa maria at 28% compared to 5% in Waverly.
- A greater percentage of American Indian residents live in Santa maria at 2% compared to 0% in Waverly.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Santa maria | Waverly |
|---|---|---|
| Mental Health Not Good | 17.2% | 19.9% |
| Physical Health Not Good | 14.2% | 13.9% |
| Depression | 19.5% | 28.8% |
| Smoking | 15.3% | 23.6% |
| Binge Drinking | 14.9% | 15.6% |
| Obesity | 32.8% | 37.8% |
| Disability Percentage | 10.0% | 19.0% |
Health Statistics Comparison: Santa maria vs Waverly
- In Waverly, a higher percentage report poor mental health at 19.9% compared to 17.2% in Santa maria.
- Higher depression rates are seen in Waverly at 28.8% versus 19.5% in Santa maria.
- Waverly has a higher smoking rate at 23.6% compared to 15.3% in Santa maria.
- More residents engage in binge drinking in Waverly at 15.6% compared to 14.9% in Santa maria.
- Waverly has higher obesity rates at 37.8% compared to 32.8% in Santa maria.
- There is a higher percentage of disabled individuals in Waverly at 19.0% 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 | Santa maria | Waverly |
|---|---|---|
| No Schooling | 3.9% (4,329) | 1.0% (41) |
| High School Diploma | 10.4% (11,486) | 18.4% (792) |
| Less than High School | 40.4% (44,477) | 21.9% (943) |
| Bachelor's Degree and Higher | 8.1% (8,930) | 16.5% (709) |
Education Levels Comparison: Santa maria vs Waverly
- A higher percentage of residents in Santa maria have no formal schooling at 3.9% compared to 1.0% in Waverly.
- In Waverly, the rate of residents with high school diplomas is higher at 18.4% compared to 10.4% in Santa maria.
- More residents in Santa maria have less than a high school education at 40.4% compared to 21.9% in Waverly.
- In Waverly, a larger share of residents have a bachelor's degree or higher at 16.5% 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.