Demographics details for Santa ana, CA vs Marshall, MI
Population Overview
Compare main population characteristics in Santa ana, CA vs Marshall, MI.
| Data | Santa ana | Marshall |
|---|---|---|
| Population | 308,189 | 6,753 |
| Median Age | 33.4 years | 45.4 years |
| Median Income | $84,210 | $72,813 |
| Married Families | 35.0% | 43.0% |
| Poverty Level | 14% | 9% |
| Unemployment Rate | 4.1 | 4.2 |
Population Comparison: Santa ana vs Marshall
- In Santa ana, the population is higher at 308,189, compared to 6,753 in Marshall.
- The median age in Marshall is higher at 45.4 years, compared to 33.4 years in Santa ana.
- Santa ana has a higher median income of $84,210 compared to $72,813 in Marshall.
- In Marshall, 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 9% in Marshall.
- Marshall has a higher unemployment rate at 4.2% compared to 4.1% in Santa ana.
Demographics
Demographics Santa ana vs Marshall provide insight into the diversity of the communities to compare.
| Demographic | Santa ana | Marshall |
|---|---|---|
| Black | 1 | Data is updating |
| White | -5 | 94 |
| Asian | 12 | Data is updating |
| Hispanic | 78 | 4 |
| Two or More Races | 13 | 2 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Santa ana vs Marshall
- A higher percentage of Black residents are in Santa ana at 1% compared to 0% in Marshall.
- The percentage of White residents is higher in Marshall at 94% compared to -5% in Santa ana.
- The Asian population is larger in Santa ana at 12% compared to 0% in Marshall.
- The Hispanic community is larger in Santa ana at 78% compared to 4% in Marshall.
- More residents identify as two or more races in Santa ana at 13% compared to 2% in Marshall.
- A greater percentage of American Indian residents live in Santa ana at 1% compared to 0% in Marshall.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Santa ana | Marshall |
|---|---|---|
| Mental Health Not Good | 16.4% | 17.0% |
| Physical Health Not Good | 13.8% | 10.6% |
| Depression | 17.2% | 25.2% |
| Smoking | 13.4% | 17.3% |
| Binge Drinking | 14.6% | 18.0% |
| Obesity | 31.6% | 37.5% |
| Disability Percentage | 8.0% | 11.0% |
Health Statistics Comparison: Santa ana vs Marshall
- In Marshall, a higher percentage report poor mental health at 17.0% compared to 16.4% in Santa ana.
- Higher depression rates are seen in Marshall at 25.2% versus 17.2% in Santa ana.
- Marshall has a higher smoking rate at 17.3% compared to 13.4% in Santa ana.
- More residents engage in binge drinking in Marshall at 18.0% compared to 14.6% in Santa ana.
- Marshall has higher obesity rates at 37.5% compared to 31.6% in Santa ana.
- There is a higher percentage of disabled individuals in Marshall at 11.0% compared to 8.0% in Santa ana.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Santa ana | Marshall |
|---|---|---|
| No Schooling | 5.1% (15,819) | 0.7% (46) |
| High School Diploma | 14.7% (45,332) | 15.8% (1,067) |
| Less than High School | 42.9% (132,303) | 7.3% (493) |
| Bachelor's Degree and Higher | 11.6% (35,860) | 33.1% (2,233) |
Education Levels Comparison: Santa ana vs Marshall
- A higher percentage of residents in Santa ana have no formal schooling at 5.1% compared to 0.7% in Marshall.
- In Marshall, the rate of residents with high school diplomas is higher at 15.8% compared to 14.7% in Santa ana.
- More residents in Santa ana have less than a high school education at 42.9% compared to 7.3% in Marshall.
- In Marshall, a larger share of residents have a bachelor's degree or higher at 33.1% 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.