Demographics details for Marshall, TX vs Williston, ND
Population Overview
Compare main population characteristics in Marshall, TX vs Williston, ND.
| Data | Marshall | Williston |
|---|---|---|
| Population | 23,641 | 27,029 |
| Median Age | 34.1 years | 31.4 years |
| Median Income | $49,162 | $80,352 |
| Married Families | 27.0% | 37.0% |
| Poverty Level | 17% | 9% |
| Unemployment Rate | 5.1 | 2.3 |
Population Comparison: Marshall vs Williston
- The population in Williston is higher at 27,029, compared to 23,641 in Marshall.
- Residents in Marshall have a higher median age of 34.1 years compared to 31.4 years in Williston.
- Williston has a higher median income of $80,352, compared to $49,162 in Marshall.
- In Williston, the percentage of married families is higher at 37.0%, compared to 27.0% in Marshall.
- Marshall has a higher poverty level at 17% compared to 9% in Williston.
- The unemployment rate in Marshall is higher at 5.1%, compared to 2.3% in Williston.
Demographics
Demographics Marshall vs Williston provide insight into the diversity of the communities to compare.
| Demographic | Marshall | Williston |
|---|---|---|
| Black | 40 | 7 |
| White | 28 | 73 |
| Asian | 1 | 1 |
| Hispanic | 20 | 12 |
| Two or More Races | 11 | 6 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Marshall vs Williston
- A higher percentage of Black residents are in Marshall at 40% compared to 7% in Williston.
- The percentage of White residents is higher in Williston at 73% compared to 28% in Marshall.
- Both Marshall and Williston have the same percentage of Asian residents at 1%.
- The Hispanic community is larger in Marshall at 20% compared to 12% in Williston.
- More residents identify as two or more races in Marshall at 11% compared to 6% in Williston.
- In Williston, the percentage of American Indian residents is higher at 1%, compared to 0% in Marshall.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Marshall | Williston |
|---|---|---|
| Mental Health Not Good | 19.2% | 13.5% |
| Physical Health Not Good | 13.8% | 9.2% |
| Depression | 22.7% | 18.7% |
| Smoking | 21.0% | 16.4% |
| Binge Drinking | 16.2% | 23.5% |
| Obesity | 42.0% | 37.4% |
| Disability Percentage | 17.0% | 10.0% |
Health Statistics Comparison: Marshall vs Williston
- More residents in Marshall report poor mental health at 19.2% compared to 13.5% in Williston.
- Depression is more prevalent in Marshall at 22.7% compared to 18.7% in Williston.
- Smoking is more prevalent in Marshall at 21.0% compared to 16.4% in Williston.
- More residents engage in binge drinking in Williston at 23.5% compared to 16.2% in Marshall.
- Obesity rates are higher in Marshall at 42.0% compared to 37.4% in Williston.
- Disability percentages are higher in Marshall at 17.0% compared to 10.0% in Williston.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Marshall | Williston |
|---|---|---|
| No Schooling | 0.8% (195) | 0.9% (255) |
| High School Diploma | 18.7% (4,412) | 16.5% (4,465) |
| Less than High School | 10.7% (2,527) | 12.4% (3,347) |
| Bachelor's Degree and Higher | 13.2% (3,127) | 16.6% (4,481) |
Education Levels Comparison: Marshall vs Williston
- In Williston, a larger percentage of residents lack formal schooling at 0.9% compared to 0.8% in Marshall.
- A higher percentage of residents in Marshall hold a high school diploma at 18.7% compared to 16.5% in Williston.
- The percentage of residents with less than a high school education is higher in Williston at 12.4%, compared to 10.7% in Marshall.
- In Williston, a larger share of residents have a bachelor's degree or higher at 16.6% 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.