Demographics details for Marshall, AR vs Sweetwater, TX
Population Overview
Compare main population characteristics in Marshall, AR vs Sweetwater, TX.
| Data | Marshall | Sweetwater |
|---|---|---|
| Population | 1,339 | 10,408 |
| Median Age | 52.3 years | 35.7 years |
| Median Income | $28,290 | $44,306 |
| Married Families | 33.0% | 32.0% |
| Poverty Level | 16% | 15% |
| Unemployment Rate | 4.2 | 5.4 |
Population Comparison: Marshall vs Sweetwater
- The population in Sweetwater is higher at 10,408, compared to 1,339 in Marshall.
- Residents in Marshall have a higher median age of 52.3 years compared to 35.7 years in Sweetwater.
- Sweetwater has a higher median income of $44,306, compared to $28,290 in Marshall.
- A higher percentage of married families is found in Marshall at 33.0% compared to 32.0% in Sweetwater.
- Marshall has a higher poverty level at 16% compared to 15% in Sweetwater.
- Sweetwater has a higher unemployment rate at 5.4% compared to 4.2% in Marshall.
Demographics
Demographics Marshall vs Sweetwater provide insight into the diversity of the communities to compare.
| Demographic | Marshall | Sweetwater |
|---|---|---|
| Black | Data is updating | 6 |
| White | 84 | 34 |
| Asian | Data is updating | Data is updating |
| Hispanic | 3 | 46 |
| Two or More Races | 12 | 13 |
| American Indian | 1 | 1 |
Demographics Comparison: Marshall vs Sweetwater
- In Sweetwater, the percentage of Black residents is higher at 6% compared to 0% in Marshall.
- Marshall has a higher percentage of White residents at 84% compared to 34% in Sweetwater.
- Both Marshall and Sweetwater have the same percentage of Asian residents at 0%.
- Sweetwater has a higher percentage of Hispanic residents at 46%, compared to 3% in Marshall.
- The percentage of residents identifying as two or more races is higher in Sweetwater at 13%, compared to 12% in Marshall.
- The percentage of American Indian residents is the same in both Marshall and Sweetwater at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Marshall | Sweetwater |
|---|---|---|
| Mental Health Not Good | 21.7% | 19.1% |
| Physical Health Not Good | 16.2% | 14.3% |
| Depression | 29.8% | 24.2% |
| Smoking | 27.2% | 20.3% |
| Binge Drinking | 14.7% | 17.3% |
| Obesity | 39.2% | 38.9% |
| Disability Percentage | 30.0% | 21.0% |
Health Statistics Comparison: Marshall vs Sweetwater
- More residents in Marshall report poor mental health at 21.7% compared to 19.1% in Sweetwater.
- Depression is more prevalent in Marshall at 29.8% compared to 24.2% in Sweetwater.
- Smoking is more prevalent in Marshall at 27.2% compared to 20.3% in Sweetwater.
- More residents engage in binge drinking in Sweetwater at 17.3% compared to 14.7% in Marshall.
- Obesity rates are higher in Marshall at 39.2% compared to 38.9% in Sweetwater.
- Disability percentages are higher in Marshall at 30.0% compared to 21.0% in Sweetwater.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Marshall | Sweetwater |
|---|---|---|
| No Schooling | 0.9% (12) | 1.9% (194) |
| High School Diploma | 27.9% (373) | 16.0% (1,666) |
| Less than High School | 32.4% (434) | 23.1% (2,408) |
| Bachelor's Degree and Higher | 11.7% (156) | 7.0% (733) |
Education Levels Comparison: Marshall vs Sweetwater
- In Sweetwater, a larger percentage of residents lack formal schooling at 1.9% compared to 0.9% in Marshall.
- A higher percentage of residents in Marshall hold a high school diploma at 27.9% compared to 16.0% in Sweetwater.
- More residents in Marshall have less than a high school education at 32.4% compared to 23.1% in Sweetwater.
- A higher percentage of residents in Marshall hold a bachelor's degree or higher at 11.7% compared to 7.0% in Sweetwater.
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.