Demographics details for Santa ana, CA vs Big sky, MT
Population Overview
Compare main population characteristics in Santa ana, CA vs Big sky, MT.
| Data | Santa ana | Big sky |
|---|---|---|
| Population | 308,189 | 2,825 |
| Median Age | 33.4 years | 37.2 years |
| Median Income | $84,210 | $94,176 |
| Married Families | 35.0% | 43.0% |
| Poverty Level | 14% | 5% |
| Unemployment Rate | 4.1 | 3.5 |
Population Comparison: Santa ana vs Big sky
- In Santa ana, the population is higher at 308,189, compared to 2,825 in Big sky.
- The median age in Big sky is higher at 37.2 years, compared to 33.4 years in Santa ana.
- Big sky has a higher median income of $94,176, compared to $84,210 in Santa ana.
- In Big sky, the percentage of married families is higher at 43.0%, compared to 35.0% in Santa ana.
- Santa ana has a higher poverty level at 14% compared to 5% in Big sky.
- The unemployment rate in Santa ana is higher at 4.1%, compared to 3.5% in Big sky.
Demographics
Demographics Santa ana vs Big sky provide insight into the diversity of the communities to compare.
| Demographic | Santa ana | Big sky |
|---|---|---|
| Black | 1 | Data is updating |
| White | -5 | 85 |
| Asian | 12 | Data is updating |
| Hispanic | 78 | 12 |
| Two or More Races | 13 | 2 |
| American Indian | 1 | 1 |
Demographics Comparison: Santa ana vs Big sky
- A higher percentage of Black residents are in Santa ana at 1% compared to 0% in Big sky.
- The percentage of White residents is higher in Big sky at 85% compared to -5% in Santa ana.
- The Asian population is larger in Santa ana at 12% compared to 0% in Big sky.
- The Hispanic community is larger in Santa ana at 78% compared to 12% in Big sky.
- More residents identify as two or more races in Santa ana at 13% compared to 2% in Big sky.
- The percentage of American Indian residents is the same in both Santa ana and Big sky at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Santa ana | Big sky |
|---|---|---|
| Mental Health Not Good | 16.4% | 12.8% |
| Physical Health Not Good | 13.8% | 8.0% |
| Depression | 17.2% | 20.6% |
| Smoking | 13.4% | 10.7% |
| Binge Drinking | 14.6% | 24.3% |
| Obesity | 31.6% | 24.1% |
| Disability Percentage | 8.0% | 5.0% |
Health Statistics Comparison: Santa ana vs Big sky
- More residents in Santa ana report poor mental health at 16.4% compared to 12.8% in Big sky.
- Higher depression rates are seen in Big sky at 20.6% versus 17.2% in Santa ana.
- Smoking is more prevalent in Santa ana at 13.4% compared to 10.7% in Big sky.
- More residents engage in binge drinking in Big sky at 24.3% compared to 14.6% in Santa ana.
- Obesity rates are higher in Santa ana at 31.6% compared to 24.1% in Big sky.
- Disability percentages are higher in Santa ana at 8.0% compared to 5.0% in Big sky.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Santa ana | Big sky |
|---|---|---|
| No Schooling | 5.1% (15,819) | 0.0% (Data is updating) |
| High School Diploma | 14.7% (45,332) | 10.1% (284) |
| Less than High School | 42.9% (132,303) | 4.2% (118) |
| Bachelor's Degree and Higher | 11.6% (35,860) | 44.6% (1,261) |
Education Levels Comparison: Santa ana vs Big sky
- A higher percentage of residents in Santa ana have no formal schooling at 5.1% compared to 0.0% in Big sky.
- A higher percentage of residents in Santa ana hold a high school diploma at 14.7% compared to 10.1% in Big sky.
- More residents in Santa ana have less than a high school education at 42.9% compared to 4.2% in Big sky.
- In Big sky, a larger share of residents have a bachelor's degree or higher at 44.6% compared to 11.6% in Santa ana.
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.