Demographics details for Santa maria, CA vs Acworth, GA
Population Overview
Compare main population characteristics in Santa maria, CA vs Acworth, GA.
| Data | Santa maria | Acworth |
|---|---|---|
| Population | 110,125 | 22,276 |
| Median Age | 29.3 years | 36.8 years |
| Median Income | $81,237 | $74,643 |
| Married Families | 31.0% | 37.0% |
| Poverty Level | 15% | 10% |
| Unemployment Rate | 5.0 | 3.5 |
Population Comparison: Santa maria vs Acworth
- In Santa maria, the population is higher at 110,125, compared to 22,276 in Acworth.
- The median age in Acworth is higher at 36.8 years, compared to 29.3 years in Santa maria.
- Santa maria has a higher median income of $81,237 compared to $74,643 in Acworth.
- In Acworth, the percentage of married families is higher at 37.0%, compared to 31.0% in Santa maria.
- Santa maria has a higher poverty level at 15% compared to 10% in Acworth.
- The unemployment rate in Santa maria is higher at 5.0%, compared to 3.5% in Acworth.
Demographics
Demographics Santa maria vs Acworth provide insight into the diversity of the communities to compare.
| Demographic | Santa maria | Acworth |
|---|---|---|
| Black | 1 | 23 |
| White | -13 | 50 |
| Asian | 5 | 3 |
| Hispanic | 77 | 17 |
| Two or More Races | 28 | 7 |
| American Indian | 2 | Data is updating |
Demographics Comparison: Santa maria vs Acworth
- In Acworth, the percentage of Black residents is higher at 23% compared to 1% in Santa maria.
- The percentage of White residents is higher in Acworth at 50% compared to -13% in Santa maria.
- The Asian population is larger in Santa maria at 5% compared to 3% in Acworth.
- The Hispanic community is larger in Santa maria at 77% compared to 17% in Acworth.
- More residents identify as two or more races in Santa maria at 28% compared to 7% in Acworth.
- A greater percentage of American Indian residents live in Santa maria at 2% compared to 0% in Acworth.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Santa maria | Acworth |
|---|---|---|
| Mental Health Not Good | 17.2% | 14.9% |
| Physical Health Not Good | 14.2% | 10.4% |
| Depression | 19.5% | 18.9% |
| Smoking | 15.3% | 13.9% |
| Binge Drinking | 14.9% | 15.4% |
| Obesity | 32.8% | 30.5% |
| Disability Percentage | 10.0% | 11.0% |
Health Statistics Comparison: Santa maria vs Acworth
- More residents in Santa maria report poor mental health at 17.2% compared to 14.9% in Acworth.
- Depression is more prevalent in Santa maria at 19.5% compared to 18.9% in Acworth.
- Smoking is more prevalent in Santa maria at 15.3% compared to 13.9% in Acworth.
- More residents engage in binge drinking in Acworth at 15.4% compared to 14.9% in Santa maria.
- Obesity rates are higher in Santa maria at 32.8% compared to 30.5% in Acworth.
- There is a higher percentage of disabled individuals in Acworth at 11.0% 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 | Acworth |
|---|---|---|
| No Schooling | 3.9% (4,329) | 1.8% (405) |
| High School Diploma | 10.4% (11,486) | 15.2% (3,397) |
| Less than High School | 40.4% (44,477) | 10.3% (2,293) |
| Bachelor's Degree and Higher | 8.1% (8,930) | 21.4% (4,772) |
Education Levels Comparison: Santa maria vs Acworth
- A higher percentage of residents in Santa maria have no formal schooling at 3.9% compared to 1.8% in Acworth.
- In Acworth, the rate of residents with high school diplomas is higher at 15.2% compared to 10.4% in Santa maria.
- More residents in Santa maria have less than a high school education at 40.4% compared to 10.3% in Acworth.
- In Acworth, a larger share of residents have a bachelor's degree or higher at 21.4% 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.