Demographics details for Marshall, TX vs Riverhead, NY
Population Overview
Compare main population characteristics in Marshall, TX vs Riverhead, NY.
| Data | Marshall | Riverhead |
|---|---|---|
| Population | 23,641 | 33,539 |
| Median Age | 34.1 years | 42.0 years |
| Median Income | $49,162 | $80,000 |
| Married Families | 27.0% | 60.0% |
| Poverty Level | 17% | 7% |
| Unemployment Rate | 5.1 | 3.3 |
Population Comparison: Marshall vs Riverhead
- The population in Riverhead is higher at 33,539, compared to 23,641 in Marshall.
- The median age in Riverhead is higher at 42.0 years, compared to 34.1 years in Marshall.
- Riverhead has a higher median income of $80,000, compared to $49,162 in Marshall.
- In Riverhead, the percentage of married families is higher at 60.0%, compared to 27.0% in Marshall.
- Marshall has a higher poverty level at 17% compared to 7% in Riverhead.
- The unemployment rate in Marshall is higher at 5.1%, compared to 3.3% in Riverhead.
Demographics
Demographics Marshall vs Riverhead provide insight into the diversity of the communities to compare.
| Demographic | Marshall | Riverhead |
|---|---|---|
| Black | 40 | 10 |
| White | 28 | 70 |
| Asian | 1 | 5 |
| Hispanic | 20 | 15 |
| Two or More Races | 11 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Marshall vs Riverhead
- A higher percentage of Black residents are in Marshall at 40% compared to 10% in Riverhead.
- The percentage of White residents is higher in Riverhead at 70% compared to 28% in Marshall.
- In Riverhead, the Asian population stands at 5%, greater than 1% in Marshall.
- The Hispanic community is larger in Marshall at 20% compared to 15% in Riverhead.
- More residents identify as two or more races in Marshall at 11% compared to 0% in Riverhead.
- The percentage of American Indian residents is the same in both Marshall and Riverhead at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Marshall | Riverhead |
|---|---|---|
| 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 Riverhead
- More residents in Marshall report poor mental health at 19.2% compared to 0.0% in Riverhead.
- Depression is more prevalent in Marshall at 22.7% compared to 0.0% in Riverhead.
- Smoking is more prevalent in Marshall at 21.0% compared to 0.0% in Riverhead.
- Binge drinking is more common in Marshall at 16.2% compared to 0.0% in Riverhead.
- Obesity rates are higher in Marshall at 42.0% compared to 0.0% in Riverhead.
- Disability percentages are higher in Marshall at 17.0% compared to 0.0% in Riverhead.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Marshall | Riverhead |
|---|---|---|
| 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 Riverhead
- A higher percentage of residents in Marshall have no formal schooling at 0.8% compared to 0.0% in Riverhead.
- A higher percentage of residents in Marshall hold a high school diploma at 18.7% compared to 0.0% in Riverhead.
- More residents in Marshall have less than a high school education at 10.7% compared to 0.0% in Riverhead.
- A higher percentage of residents in Marshall hold a bachelor's degree or higher at 13.2% compared to 0.0% in Riverhead.
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.