Demographics details for Lansing, MI vs Santa ana, CA
Population Overview
Compare main population characteristics in Lansing, MI vs Santa ana, CA.
| Data | Lansing | Santa ana |
|---|---|---|
| Population | 112,537 | 308,189 |
| Median Age | 32.9 years | 33.4 years |
| Median Income | $50,747 | $84,210 |
| Married Families | 28.0% | 35.0% |
| Poverty Level | 19% | 14% |
| Unemployment Rate | 7.4 | 4.1 |
Population Comparison: Lansing vs Santa ana
- The population in Santa ana is higher at 308,189, compared to 112,537 in Lansing.
- The median age in Santa ana is higher at 33.4 years, compared to 32.9 years in Lansing.
- Santa ana has a higher median income of $84,210, compared to $50,747 in Lansing.
- In Santa ana, the percentage of married families is higher at 35.0%, compared to 28.0% in Lansing.
- Lansing has a higher poverty level at 19% compared to 14% in Santa ana.
- The unemployment rate in Lansing is higher at 7.4%, compared to 4.1% in Santa ana.
Demographics
Demographics Lansing vs Santa ana provide insight into the diversity of the communities to compare.
| Demographic | Lansing | Santa ana |
|---|---|---|
| Black | 24 | 1 |
| White | 48 | -5 |
| Asian | 5 | 12 |
| Hispanic | 13 | 78 |
| Two or More Races | 10 | 13 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Lansing vs Santa ana
- A higher percentage of Black residents are in Lansing at 24% compared to 1% in Santa ana.
- Lansing has a higher percentage of White residents at 48% compared to -5% in Santa ana.
- In Santa ana, the Asian population stands at 12%, greater than 5% in Lansing.
- Santa ana has a higher percentage of Hispanic residents at 78%, compared to 13% in Lansing.
- The percentage of residents identifying as two or more races is higher in Santa ana at 13%, compared to 10% in Lansing.
- In Santa ana, the percentage of American Indian residents is higher at 1%, compared to 0% in Lansing.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Lansing | Santa ana |
|---|---|---|
| Mental Health Not Good | 19.3% | 16.4% |
| Physical Health Not Good | 12.9% | 13.8% |
| Depression | 26.3% | 17.2% |
| Smoking | 19.6% | 13.4% |
| Binge Drinking | 16.0% | 14.6% |
| Obesity | 40.7% | 31.6% |
| Disability Percentage | 17.0% | 8.0% |
Health Statistics Comparison: Lansing vs Santa ana
- More residents in Lansing report poor mental health at 19.3% compared to 16.4% in Santa ana.
- Depression is more prevalent in Lansing at 26.3% compared to 17.2% in Santa ana.
- Smoking is more prevalent in Lansing at 19.6% compared to 13.4% in Santa ana.
- Binge drinking is more common in Lansing at 16.0% compared to 14.6% in Santa ana.
- Obesity rates are higher in Lansing at 40.7% compared to 31.6% in Santa ana.
- Disability percentages are higher in Lansing at 17.0% 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 | Lansing | Santa ana |
|---|---|---|
| No Schooling | 1.3% (1,419) | 5.1% (15,819) |
| High School Diploma | 13.5% (15,216) | 14.7% (45,332) |
| Less than High School | 10.0% (11,269) | 42.9% (132,303) |
| Bachelor's Degree and Higher | 19.3% (21,667) | 11.6% (35,860) |
Education Levels Comparison: Lansing vs Santa ana
- In Santa ana, a larger percentage of residents lack formal schooling at 5.1% compared to 1.3% in Lansing.
- In Santa ana, the rate of residents with high school diplomas is higher at 14.7% compared to 13.5% in Lansing.
- The percentage of residents with less than a high school education is higher in Santa ana at 42.9%, compared to 10.0% in Lansing.
- A higher percentage of residents in Lansing hold a bachelor's degree or higher at 19.3% 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.