Demographics details for Aberdeen, SD vs Santa maria, CA
Population Overview
Compare main population characteristics in Aberdeen, SD vs Santa maria, CA.
Data | Aberdeen | Santa maria |
---|---|---|
Population | 28,210 | 110,125 |
Median Age | 35.6 years | 29.3 years |
Median Income | $62,684 | $81,237 |
Married Families | 36.0% | 31.0% |
Poverty Level | 10% | 15% |
Unemployment Rate | 2.2 | 5.0 |
Population Comparison: Aberdeen vs Santa maria
- The population in Santa maria is higher at 110,125, compared to 28,210 in Aberdeen.
- Residents in Aberdeen have a higher median age of 35.6 years compared to 29.3 years in Santa maria.
- Santa maria has a higher median income of $81,237, compared to $62,684 in Aberdeen.
- A higher percentage of married families is found in Aberdeen at 36.0% compared to 31.0% in Santa maria.
- The poverty level is higher in Santa maria at 15%, compared to 10% in Aberdeen.
- Santa maria has a higher unemployment rate at 5.0% compared to 2.2% in Aberdeen.
Demographics
Demographics Aberdeen vs Santa maria provide insight into the diversity of the communities to compare.
Demographic | Aberdeen | Santa maria |
---|---|---|
Black | 3 | 1 |
White | 79 | -13 |
Asian | 5 | 5 |
Hispanic | 5 | 77 |
Two or More Races | 4 | 28 |
American Indian | 4 | 2 |
Demographics Comparison: Aberdeen vs Santa maria
- A higher percentage of Black residents are in Aberdeen at 3% compared to 1% in Santa maria.
- Aberdeen has a higher percentage of White residents at 79% compared to -13% in Santa maria.
- Both Aberdeen and Santa maria have the same percentage of Asian residents at 5%.
- Santa maria has a higher percentage of Hispanic residents at 77%, compared to 5% in Aberdeen.
- The percentage of residents identifying as two or more races is higher in Santa maria at 28%, compared to 4% in Aberdeen.
- A greater percentage of American Indian residents live in Aberdeen at 4% compared to 2% in Santa maria.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Aberdeen | Santa maria |
---|---|---|
Mental Health Not Good | 13.0% | 17.2% |
Physical Health Not Good | 9.4% | 14.2% |
Depression | 17.5% | 19.5% |
Smoking | 16.2% | 15.3% |
Binge Drinking | 20.2% | 14.9% |
Obesity | 37.3% | 32.8% |
Disability Percentage | 13.0% | 10.0% |
Health Statistics Comparison: Aberdeen vs Santa maria
- In Santa maria, a higher percentage report poor mental health at 17.2% compared to 13.0% in Aberdeen.
- Higher depression rates are seen in Santa maria at 19.5% versus 17.5% in Aberdeen.
- Smoking is more prevalent in Aberdeen at 16.2% compared to 15.3% in Santa maria.
- Binge drinking is more common in Aberdeen at 20.2% compared to 14.9% in Santa maria.
- Obesity rates are higher in Aberdeen at 37.3% compared to 32.8% in Santa maria.
- Disability percentages are higher in Aberdeen at 13.0% 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 | Aberdeen | Santa maria |
---|---|---|
No Schooling | 0.4% (121) | 3.9% (4,329) |
High School Diploma | 18.2% (5,127) | 10.4% (11,486) |
Less than High School | 8.0% (2,266) | 40.4% (44,477) |
Bachelor's Degree and Higher | 22.0% (6,206) | 8.1% (8,930) |
Education Levels Comparison: Aberdeen vs Santa maria
- In Santa maria, a larger percentage of residents lack formal schooling at 3.9% compared to 0.4% in Aberdeen.
- A higher percentage of residents in Aberdeen hold a high school diploma at 18.2% 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 8.0% in Aberdeen.
- A higher percentage of residents in Aberdeen hold a bachelor's degree or higher at 22.0% 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.