Demographics details for Marshall, TX vs Dallastown, PA
Population Overview
Compare main population characteristics in Marshall, TX vs Dallastown, PA.
| Data | Marshall | Dallastown |
|---|---|---|
| Population | 23,641 | 4,176 |
| Median Age | 34.1 years | 39.9 years |
| Median Income | $49,162 | $56,397 |
| Married Families | 27.0% | 39.0% |
| Poverty Level | 17% | 7% |
| Unemployment Rate | 5.1 | 3.5 |
Population Comparison: Marshall vs Dallastown
- In Marshall, the population is higher at 23,641, compared to 4,176 in Dallastown.
- The median age in Dallastown is higher at 39.9 years, compared to 34.1 years in Marshall.
- Dallastown has a higher median income of $56,397, compared to $49,162 in Marshall.
- In Dallastown, the percentage of married families is higher at 39.0%, compared to 27.0% in Marshall.
- Marshall has a higher poverty level at 17% compared to 7% in Dallastown.
- The unemployment rate in Marshall is higher at 5.1%, compared to 3.5% in Dallastown.
Demographics
Demographics Marshall vs Dallastown provide insight into the diversity of the communities to compare.
| Demographic | Marshall | Dallastown |
|---|---|---|
| Black | 40 | 2 |
| White | 28 | 92 |
| Asian | 1 | Data is updating |
| Hispanic | 20 | 4 |
| Two or More Races | 11 | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Marshall vs Dallastown
- A higher percentage of Black residents are in Marshall at 40% compared to 2% in Dallastown.
- The percentage of White residents is higher in Dallastown at 92% compared to 28% in Marshall.
- The Asian population is larger in Marshall at 1% compared to 0% in Dallastown.
- The Hispanic community is larger in Marshall at 20% compared to 4% in Dallastown.
- More residents identify as two or more races in Marshall at 11% compared to 2% in Dallastown.
- The percentage of American Indian residents is the same in both Marshall and Dallastown at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Marshall | Dallastown |
|---|---|---|
| Mental Health Not Good | 19.2% | 17.7% |
| Physical Health Not Good | 13.8% | 12.3% |
| Depression | 22.7% | 25.2% |
| Smoking | 21.0% | 19.4% |
| Binge Drinking | 16.2% | 17.4% |
| Obesity | 42.0% | 41.0% |
| Disability Percentage | 17.0% | 20.0% |
Health Statistics Comparison: Marshall vs Dallastown
- More residents in Marshall report poor mental health at 19.2% compared to 17.7% in Dallastown.
- Higher depression rates are seen in Dallastown at 25.2% versus 22.7% in Marshall.
- Smoking is more prevalent in Marshall at 21.0% compared to 19.4% in Dallastown.
- More residents engage in binge drinking in Dallastown at 17.4% compared to 16.2% in Marshall.
- Obesity rates are higher in Marshall at 42.0% compared to 41.0% in Dallastown.
- There is a higher percentage of disabled individuals in Dallastown at 20.0% compared to 17.0% in Marshall.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Marshall | Dallastown |
|---|---|---|
| No Schooling | 0.8% (195) | 0.0% (1) |
| High School Diploma | 18.7% (4,412) | 22.5% (939) |
| Less than High School | 10.7% (2,527) | 12.3% (512) |
| Bachelor's Degree and Higher | 13.2% (3,127) | 14.3% (599) |
Education Levels Comparison: Marshall vs Dallastown
- A higher percentage of residents in Marshall have no formal schooling at 0.8% compared to 0.0% in Dallastown.
- In Dallastown, the rate of residents with high school diplomas is higher at 22.5% compared to 18.7% in Marshall.
- The percentage of residents with less than a high school education is higher in Dallastown at 12.3%, compared to 10.7% in Marshall.
- In Dallastown, a larger share of residents have a bachelor's degree or higher at 14.3% 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.