Demographics details for Everett, WA vs Marshall, TX
Population Overview
Compare main population characteristics in Everett, WA vs Marshall, TX.
| Data | Everett | Marshall |
|---|---|---|
| Population | 111,337 | 23,641 |
| Median Age | 36.4 years | 34.1 years |
| Median Income | $77,806 | $49,162 |
| Married Families | 34.0% | 27.0% |
| Poverty Level | 10% | 17% |
| Unemployment Rate | 5.1 | 5.1 |
Population Comparison: Everett vs Marshall
- In Everett, the population is higher at 111,337, compared to 23,641 in Marshall.
- Residents in Everett have a higher median age of 36.4 years compared to 34.1 years in Marshall.
- Everett has a higher median income of $77,806 compared to $49,162 in Marshall.
- A higher percentage of married families is found in Everett at 34.0% compared to 27.0% in Marshall.
- The poverty level is higher in Marshall at 17%, compared to 10% in Everett.
- The unemployment rate is the same in both Everett and Marshall at 5.1%.
Demographics
Demographics Everett vs Marshall provide insight into the diversity of the communities to compare.
| Demographic | Everett | Marshall |
|---|---|---|
| Black | 6 | 40 |
| White | 56 | 28 |
| Asian | 10 | 1 |
| Hispanic | 17 | 20 |
| Two or More Races | 10 | 11 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Everett vs Marshall
- In Marshall, the percentage of Black residents is higher at 40% compared to 6% in Everett.
- Everett has a higher percentage of White residents at 56% compared to 28% in Marshall.
- The Asian population is larger in Everett at 10% compared to 1% in Marshall.
- Marshall has a higher percentage of Hispanic residents at 20%, compared to 17% in Everett.
- The percentage of residents identifying as two or more races is higher in Marshall at 11%, compared to 10% in Everett.
- A greater percentage of American Indian residents live in Everett at 1% compared to 0% in Marshall.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Everett | Marshall |
|---|---|---|
| Mental Health Not Good | 18.1% | 19.2% |
| Physical Health Not Good | 12.4% | 13.8% |
| Depression | 29.8% | 22.7% |
| Smoking | 14.5% | 21.0% |
| Binge Drinking | 15.3% | 16.2% |
| Obesity | 35.3% | 42.0% |
| Disability Percentage | 14.0% | 17.0% |
Health Statistics Comparison: Everett vs Marshall
- In Marshall, a higher percentage report poor mental health at 19.2% compared to 18.1% in Everett.
- Depression is more prevalent in Everett at 29.8% compared to 22.7% in Marshall.
- Marshall has a higher smoking rate at 21.0% compared to 14.5% in Everett.
- More residents engage in binge drinking in Marshall at 16.2% compared to 15.3% in Everett.
- Marshall has higher obesity rates at 42.0% compared to 35.3% in Everett.
- There is a higher percentage of disabled individuals in Marshall at 17.0% compared to 14.0% in Everett.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Everett | Marshall |
|---|---|---|
| No Schooling | 1.4% (1,505) | 0.8% (195) |
| High School Diploma | 14.6% (16,295) | 18.7% (4,412) |
| Less than High School | 13.8% (15,320) | 10.7% (2,527) |
| Bachelor's Degree and Higher | 18.9% (21,025) | 13.2% (3,127) |
Education Levels Comparison: Everett vs Marshall
- A higher percentage of residents in Everett have no formal schooling at 1.4% compared to 0.8% in Marshall.
- In Marshall, the rate of residents with high school diplomas is higher at 18.7% compared to 14.6% in Everett.
- More residents in Everett have less than a high school education at 13.8% compared to 10.7% in Marshall.
- A higher percentage of residents in Everett hold a bachelor's degree or higher at 18.9% 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.