Demographics details for Bellingham, WA vs Marshall, TX
Population Overview
Compare main population characteristics in Bellingham, WA vs Marshall, TX.
| Data | Bellingham | Marshall |
|---|---|---|
| Population | 93,896 | 23,641 |
| Median Age | 33.7 years | 34.1 years |
| Median Income | $64,026 | $49,162 |
| Married Families | 32.0% | 27.0% |
| Poverty Level | 11% | 17% |
| Unemployment Rate | 4.5 | 5.1 |
Population Comparison: Bellingham vs Marshall
- In Bellingham, the population is higher at 93,896, compared to 23,641 in Marshall.
- The median age in Marshall is higher at 34.1 years, compared to 33.7 years in Bellingham.
- Bellingham has a higher median income of $64,026 compared to $49,162 in Marshall.
- A higher percentage of married families is found in Bellingham at 32.0% compared to 27.0% in Marshall.
- The poverty level is higher in Marshall at 17%, compared to 11% in Bellingham.
- Marshall has a higher unemployment rate at 5.1% compared to 4.5% in Bellingham.
Demographics
Demographics Bellingham vs Marshall provide insight into the diversity of the communities to compare.
| Demographic | Bellingham | Marshall |
|---|---|---|
| Black | 1 | 40 |
| White | 74 | 28 |
| Asian | 6 | 1 |
| Hispanic | 10 | 20 |
| Two or More Races | 8 | 11 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Bellingham vs Marshall
- In Marshall, the percentage of Black residents is higher at 40% compared to 1% in Bellingham.
- Bellingham has a higher percentage of White residents at 74% compared to 28% in Marshall.
- The Asian population is larger in Bellingham at 6% compared to 1% in Marshall.
- Marshall has a higher percentage of Hispanic residents at 20%, compared to 10% in Bellingham.
- The percentage of residents identifying as two or more races is higher in Marshall at 11%, compared to 8% in Bellingham.
- A greater percentage of American Indian residents live in Bellingham at 1% compared to 0% in Marshall.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Bellingham | Marshall |
|---|---|---|
| Mental Health Not Good | 17.6% | 19.2% |
| Physical Health Not Good | 10.9% | 13.8% |
| Depression | 30.0% | 22.7% |
| Smoking | 14.1% | 21.0% |
| Binge Drinking | 17.3% | 16.2% |
| Obesity | 25.6% | 42.0% |
| Disability Percentage | 12.0% | 17.0% |
Health Statistics Comparison: Bellingham vs Marshall
- In Marshall, a higher percentage report poor mental health at 19.2% compared to 17.6% in Bellingham.
- Depression is more prevalent in Bellingham at 30.0% compared to 22.7% in Marshall.
- Marshall has a higher smoking rate at 21.0% compared to 14.1% in Bellingham.
- Binge drinking is more common in Bellingham at 17.3% compared to 16.2% in Marshall.
- Marshall has higher obesity rates at 42.0% compared to 25.6% in Bellingham.
- There is a higher percentage of disabled individuals in Marshall at 17.0% compared to 12.0% in Bellingham.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Bellingham | Marshall |
|---|---|---|
| No Schooling | 0.5% (454) | 0.8% (195) |
| High School Diploma | 8.8% (8,220) | 18.7% (4,412) |
| Less than High School | 6.2% (5,781) | 10.7% (2,527) |
| Bachelor's Degree and Higher | 28.9% (27,095) | 13.2% (3,127) |
Education Levels Comparison: Bellingham vs Marshall
- In Marshall, a larger percentage of residents lack formal schooling at 0.8% compared to 0.5% in Bellingham.
- In Marshall, the rate of residents with high school diplomas is higher at 18.7% compared to 8.8% in Bellingham.
- The percentage of residents with less than a high school education is higher in Marshall at 10.7%, compared to 6.2% in Bellingham.
- A higher percentage of residents in Bellingham hold a bachelor's degree or higher at 28.9% compared to 13.2% 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.