Demographics details for Tacoma, WA vs Marshall, CA
Population Overview
Compare main population characteristics in Tacoma, WA vs Marshall, CA.
| Data | Tacoma | Marshall |
|---|---|---|
| Population | 221,776 | 533 |
| Median Age | 36.9 years | 42.0 years |
| Median Income | $79,085 | $90,000 |
| Married Families | 36.0% | 60.0% |
| Poverty Level | 11% | 5% |
| Unemployment Rate | 4.9 | 3.0 |
Population Comparison: Tacoma vs Marshall
- In Tacoma, the population is higher at 221,776, compared to 533 in Marshall.
- The median age in Marshall is higher at 42.0 years, compared to 36.9 years in Tacoma.
- Marshall has a higher median income of $90,000, compared to $79,085 in Tacoma.
- In Marshall, the percentage of married families is higher at 60.0%, compared to 36.0% in Tacoma.
- Tacoma has a higher poverty level at 11% compared to 5% in Marshall.
- The unemployment rate in Tacoma is higher at 4.9%, compared to 3.0% in Marshall.
Demographics
Demographics Tacoma vs Marshall provide insight into the diversity of the communities to compare.
| Demographic | Tacoma | Marshall |
|---|---|---|
| Black | 11 | Data is updating |
| White | 53 | 90 |
| Asian | 9 | 2 |
| Hispanic | 12 | 5 |
| Two or More Races | 13 | 3 |
| American Indian | 2 | Data is updating |
Demographics Comparison: Tacoma vs Marshall
- A higher percentage of Black residents are in Tacoma at 11% compared to 0% in Marshall.
- The percentage of White residents is higher in Marshall at 90% compared to 53% in Tacoma.
- The Asian population is larger in Tacoma at 9% compared to 2% in Marshall.
- The Hispanic community is larger in Tacoma at 12% compared to 5% in Marshall.
- More residents identify as two or more races in Tacoma at 13% compared to 3% in Marshall.
- A greater percentage of American Indian residents live in Tacoma at 2% compared to 0% in Marshall.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Tacoma | Marshall |
|---|---|---|
| Mental Health Not Good | 18.9% | Data is updating% |
| Physical Health Not Good | 11.9% | Data is updating% |
| Depression | 26.2% | Data is updating% |
| Smoking | 15.4% | Data is updating% |
| Binge Drinking | 16.2% | Data is updating% |
| Obesity | 34.6% | Data is updating% |
| Disability Percentage | 14.0% | Data is updating% |
Health Statistics Comparison: Tacoma vs Marshall
- More residents in Tacoma report poor mental health at 18.9% compared to 0.0% in Marshall.
- Depression is more prevalent in Tacoma at 26.2% compared to 0.0% in Marshall.
- Smoking is more prevalent in Tacoma at 15.4% compared to 0.0% in Marshall.
- Binge drinking is more common in Tacoma at 16.2% compared to 0.0% in Marshall.
- Obesity rates are higher in Tacoma at 34.6% compared to 0.0% in Marshall.
- Disability percentages are higher in Tacoma at 14.0% compared to 0.0% in Marshall.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Tacoma | Marshall |
|---|---|---|
| No Schooling | 1.6% (3,474) | 0.0% (Data is updating) |
| High School Diploma | 14.2% (31,504) | 0.0% (Data is updating) |
| Less than High School | 10.1% (22,501) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 23.0% (50,913) | 0.0% (Data is updating) |
Education Levels Comparison: Tacoma vs Marshall
- A higher percentage of residents in Tacoma have no formal schooling at 1.6% compared to 0.0% in Marshall.
- A higher percentage of residents in Tacoma hold a high school diploma at 14.2% compared to 0.0% in Marshall.
- More residents in Tacoma have less than a high school education at 10.1% compared to 0.0% in Marshall.
- A higher percentage of residents in Tacoma hold a bachelor's degree or higher at 23.0% compared to 0.0% 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.