Demographics details for Santa clara, CA vs Antlers, OK
Population Overview
Compare main population characteristics in Santa clara, CA vs Antlers, OK.
Data | Santa clara | Antlers |
---|---|---|
Population | 126,930 | 2,198 |
Median Age | 34.5 years | 36.7 years |
Median Income | $165,352 | $27,798 |
Married Families | 45.0% | 37.0% |
Poverty Level | 8% | 18% |
Unemployment Rate | 3.9 | 4.5 |
Population Comparison: Santa clara vs Antlers
- In Santa clara, the population is higher at 126,930, compared to 2,198 in Antlers.
- The median age in Antlers is higher at 36.7 years, compared to 34.5 years in Santa clara.
- Santa clara has a higher median income of $165,352 compared to $27,798 in Antlers.
- A higher percentage of married families is found in Santa clara at 45.0% compared to 37.0% in Antlers.
- The poverty level is higher in Antlers at 18%, compared to 8% in Santa clara.
- Antlers has a higher unemployment rate at 4.5% compared to 3.9% in Santa clara.
Demographics
Demographics Santa clara vs Antlers provide insight into the diversity of the communities to compare.
Demographic | Santa clara | Antlers |
---|---|---|
Black | 2 | 3 |
White | 27 | 63 |
Asian | 48 | 1 |
Hispanic | 15 | 5 |
Two or More Races | 8 | 15 |
American Indian | Data is updating | 13 |
Demographics Comparison: Santa clara vs Antlers
- In Antlers, the percentage of Black residents is higher at 3% compared to 2% in Santa clara.
- The percentage of White residents is higher in Antlers at 63% compared to 27% in Santa clara.
- The Asian population is larger in Santa clara at 48% compared to 1% in Antlers.
- The Hispanic community is larger in Santa clara at 15% compared to 5% in Antlers.
- The percentage of residents identifying as two or more races is higher in Antlers at 15%, compared to 8% in Santa clara.
- In Antlers, the percentage of American Indian residents is higher at 13%, compared to 0% in Santa clara.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Santa clara | Antlers |
---|---|---|
Mental Health Not Good | 12.0% | 21.3% |
Physical Health Not Good | 7.4% | 15.6% |
Depression | 14.2% | 28.5% |
Smoking | 7.1% | 26.4% |
Binge Drinking | 13.9% | 14.1% |
Obesity | 18.6% | 40.5% |
Disability Percentage | 7.0% | 36.0% |
Health Statistics Comparison: Santa clara vs Antlers
- In Antlers, a higher percentage report poor mental health at 21.3% compared to 12.0% in Santa clara.
- Higher depression rates are seen in Antlers at 28.5% versus 14.2% in Santa clara.
- Antlers has a higher smoking rate at 26.4% compared to 7.1% in Santa clara.
- More residents engage in binge drinking in Antlers at 14.1% compared to 13.9% in Santa clara.
- Antlers has higher obesity rates at 40.5% compared to 18.6% in Santa clara.
- There is a higher percentage of disabled individuals in Antlers at 36.0% compared to 7.0% in Santa clara.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Santa clara | Antlers |
---|---|---|
No Schooling | 0.9% (1,134) | 1.0% (23) |
High School Diploma | 7.3% (9,232) | 23.4% (515) |
Less than High School | 7.1% (8,967) | 26.2% (575) |
Bachelor's Degree and Higher | 46.5% (58,962) | 10.7% (236) |
Education Levels Comparison: Santa clara vs Antlers
- In Antlers, a larger percentage of residents lack formal schooling at 1.0% compared to 0.9% in Santa clara.
- In Antlers, the rate of residents with high school diplomas is higher at 23.4% compared to 7.3% in Santa clara.
- The percentage of residents with less than a high school education is higher in Antlers at 26.2%, compared to 7.1% in Santa clara.
- A higher percentage of residents in Santa clara hold a bachelor's degree or higher at 46.5% compared to 10.7% in Antlers.
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.