Demographics details for Alameda, CA vs Marshall, MI
Population Overview
Compare main population characteristics in Alameda, CA vs Marshall, MI.
| Data | Alameda | Marshall |
|---|---|---|
| Population | 76,040 | 6,753 |
| Median Age | 40.6 years | 45.4 years |
| Median Income | $129,917 | $72,813 |
| Married Families | 44.0% | 43.0% |
| Poverty Level | 7% | 9% |
| Unemployment Rate | 4.6 | 4.2 |
Population Comparison: Alameda vs Marshall
- In Alameda, the population is higher at 76,040, compared to 6,753 in Marshall.
- The median age in Marshall is higher at 45.4 years, compared to 40.6 years in Alameda.
- Alameda has a higher median income of $129,917 compared to $72,813 in Marshall.
- A higher percentage of married families is found in Alameda at 44.0% compared to 43.0% in Marshall.
- The poverty level is higher in Marshall at 9%, compared to 7% in Alameda.
- The unemployment rate in Alameda is higher at 4.6%, compared to 4.2% in Marshall.
Demographics
Demographics Alameda vs Marshall provide insight into the diversity of the communities to compare.
| Demographic | Alameda | Marshall |
|---|---|---|
| Black | 7 | Data is updating |
| White | 37 | 94 |
| Asian | 32 | Data is updating |
| Hispanic | 12 | 4 |
| Two or More Races | 12 | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Alameda vs Marshall
- A higher percentage of Black residents are in Alameda at 7% compared to 0% in Marshall.
- The percentage of White residents is higher in Marshall at 94% compared to 37% in Alameda.
- The Asian population is larger in Alameda at 32% compared to 0% in Marshall.
- The Hispanic community is larger in Alameda at 12% compared to 4% in Marshall.
- More residents identify as two or more races in Alameda at 12% compared to 2% in Marshall.
- The percentage of American Indian residents is the same in both Alameda and Marshall at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Alameda | Marshall |
|---|---|---|
| Mental Health Not Good | 14.0% | 17.0% |
| Physical Health Not Good | 8.2% | 10.6% |
| Depression | 17.2% | 25.2% |
| Smoking | 8.9% | 17.3% |
| Binge Drinking | 15.5% | 18.0% |
| Obesity | 23.5% | 37.5% |
| Disability Percentage | 10.0% | 11.0% |
Health Statistics Comparison: Alameda vs Marshall
- In Marshall, a higher percentage report poor mental health at 17.0% compared to 14.0% in Alameda.
- Higher depression rates are seen in Marshall at 25.2% versus 17.2% in Alameda.
- Marshall has a higher smoking rate at 17.3% compared to 8.9% in Alameda.
- More residents engage in binge drinking in Marshall at 18.0% compared to 15.5% in Alameda.
- Marshall has higher obesity rates at 37.5% compared to 23.5% in Alameda.
- There is a higher percentage of disabled individuals in Marshall at 11.0% compared to 10.0% in Alameda.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Alameda | Marshall |
|---|---|---|
| No Schooling | 1.1% (864) | 0.7% (46) |
| High School Diploma | 7.0% (5,348) | 15.8% (1,067) |
| Less than High School | 6.8% (5,184) | 7.3% (493) |
| Bachelor's Degree and Higher | 44.5% (33,855) | 33.1% (2,233) |
Education Levels Comparison: Alameda vs Marshall
- A higher percentage of residents in Alameda have no formal schooling at 1.1% compared to 0.7% in Marshall.
- In Marshall, the rate of residents with high school diplomas is higher at 15.8% compared to 7.0% in Alameda.
- The percentage of residents with less than a high school education is higher in Marshall at 7.3%, compared to 6.8% in Alameda.
- A higher percentage of residents in Alameda hold a bachelor's degree or higher at 44.5% compared to 33.1% in Marshall.
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.