Demographics details for Marshall, TX vs Crawley, WV
Population Overview
Compare main population characteristics in Marshall, TX vs Crawley, WV.
| Data | Marshall | Crawley |
|---|---|---|
| Population | 23,641 | 229 |
| Median Age | 34.1 years | 35.0 years |
| Median Income | $49,162 | $45,000 |
| Married Families | 27.0% | 55.0% |
| Poverty Level | 17% | 15% |
| Unemployment Rate | 5.1 | 4.0 |
Population Comparison: Marshall vs Crawley
- In Marshall, the population is higher at 23,641, compared to 229 in Crawley.
- The median age in Crawley is higher at 35.0 years, compared to 34.1 years in Marshall.
- Marshall has a higher median income of $49,162 compared to $45,000 in Crawley.
- In Crawley, the percentage of married families is higher at 55.0%, compared to 27.0% in Marshall.
- Marshall has a higher poverty level at 17% compared to 15% in Crawley.
- The unemployment rate in Marshall is higher at 5.1%, compared to 4.0% in Crawley.
Demographics
Demographics Marshall vs Crawley provide insight into the diversity of the communities to compare.
| Demographic | Marshall | Crawley |
|---|---|---|
| Black | 40 | Data is updating |
| White | 28 | 100 |
| Asian | 1 | Data is updating |
| Hispanic | 20 | Data is updating |
| Two or More Races | 11 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Marshall vs Crawley
- A higher percentage of Black residents are in Marshall at 40% compared to 0% in Crawley.
- The percentage of White residents is higher in Crawley at 100% compared to 28% in Marshall.
- The Asian population is larger in Marshall at 1% compared to 0% in Crawley.
- The Hispanic community is larger in Marshall at 20% compared to 0% in Crawley.
- More residents identify as two or more races in Marshall at 11% compared to 0% in Crawley.
- The percentage of American Indian residents is the same in both Marshall and Crawley at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Marshall | Crawley |
|---|---|---|
| Mental Health Not Good | 19.2% | Data is updating% |
| Physical Health Not Good | 13.8% | Data is updating% |
| Depression | 22.7% | Data is updating% |
| Smoking | 21.0% | Data is updating% |
| Binge Drinking | 16.2% | Data is updating% |
| Obesity | 42.0% | Data is updating% |
| Disability Percentage | 17.0% | Data is updating% |
Health Statistics Comparison: Marshall vs Crawley
- More residents in Marshall report poor mental health at 19.2% compared to 0.0% in Crawley.
- Depression is more prevalent in Marshall at 22.7% compared to 0.0% in Crawley.
- Smoking is more prevalent in Marshall at 21.0% compared to 0.0% in Crawley.
- Binge drinking is more common in Marshall at 16.2% compared to 0.0% in Crawley.
- Obesity rates are higher in Marshall at 42.0% compared to 0.0% in Crawley.
- Disability percentages are higher in Marshall at 17.0% compared to 0.0% in Crawley.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Marshall | Crawley |
|---|---|---|
| No Schooling | 0.8% (195) | 0.0% (Data is updating) |
| High School Diploma | 18.7% (4,412) | 0.0% (Data is updating) |
| Less than High School | 10.7% (2,527) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 13.2% (3,127) | 0.0% (Data is updating) |
Education Levels Comparison: Marshall vs Crawley
- A higher percentage of residents in Marshall have no formal schooling at 0.8% compared to 0.0% in Crawley.
- A higher percentage of residents in Marshall hold a high school diploma at 18.7% compared to 0.0% in Crawley.
- More residents in Marshall have less than a high school education at 10.7% compared to 0.0% in Crawley.
- A higher percentage of residents in Marshall hold a bachelor's degree or higher at 13.2% compared to 0.0% in Crawley.
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.