Demographics details for Marshall, TX vs White plains, NY
Population Overview
Compare main population characteristics in Marshall, TX vs White plains, NY.
| Data | Marshall | White plains |
|---|---|---|
| Population | 23,641 | 59,316 |
| Median Age | 34.1 years | 41.4 years |
| Median Income | $49,162 | $109,551 |
| Married Families | 27.0% | 40.0% |
| Poverty Level | 17% | 6% |
| Unemployment Rate | 5.1 | 3.2 |
Population Comparison: Marshall vs White plains
- The population in White plains is higher at 59,316, compared to 23,641 in Marshall.
- The median age in White plains is higher at 41.4 years, compared to 34.1 years in Marshall.
- White plains has a higher median income of $109,551, compared to $49,162 in Marshall.
- In White plains, the percentage of married families is higher at 40.0%, compared to 27.0% in Marshall.
- Marshall has a higher poverty level at 17% compared to 6% in White plains.
- The unemployment rate in Marshall is higher at 5.1%, compared to 3.2% in White plains.
Demographics
Demographics Marshall vs White plains provide insight into the diversity of the communities to compare.
| Demographic | Marshall | White plains |
|---|---|---|
| Black | 40 | 13 |
| White | 28 | 39 |
| Asian | 1 | 8 |
| Hispanic | 20 | 31 |
| Two or More Races | 11 | 9 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Marshall vs White plains
- A higher percentage of Black residents are in Marshall at 40% compared to 13% in White plains.
- The percentage of White residents is higher in White plains at 39% compared to 28% in Marshall.
- In White plains, the Asian population stands at 8%, greater than 1% in Marshall.
- White plains has a higher percentage of Hispanic residents at 31%, compared to 20% in Marshall.
- More residents identify as two or more races in Marshall at 11% compared to 9% in White plains.
- The percentage of American Indian residents is the same in both Marshall and White plains at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Marshall | White plains |
|---|---|---|
| Mental Health Not Good | 19.2% | 13.1% |
| Physical Health Not Good | 13.8% | 9.1% |
| Depression | 22.7% | 17.7% |
| Smoking | 21.0% | 11.7% |
| Binge Drinking | 16.2% | 15.9% |
| Obesity | 42.0% | 28.4% |
| Disability Percentage | 17.0% | 10.0% |
Health Statistics Comparison: Marshall vs White plains
- More residents in Marshall report poor mental health at 19.2% compared to 13.1% in White plains.
- Depression is more prevalent in Marshall at 22.7% compared to 17.7% in White plains.
- Smoking is more prevalent in Marshall at 21.0% compared to 11.7% in White plains.
- Binge drinking is more common in Marshall at 16.2% compared to 15.9% in White plains.
- Obesity rates are higher in Marshall at 42.0% compared to 28.4% in White plains.
- Disability percentages are higher in Marshall at 17.0% compared to 10.0% in White plains.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Marshall | White plains |
|---|---|---|
| No Schooling | 0.8% (195) | 1.0% (566) |
| High School Diploma | 18.7% (4,412) | 11.6% (6,853) |
| Less than High School | 10.7% (2,527) | 14.7% (8,744) |
| Bachelor's Degree and Higher | 13.2% (3,127) | 39.0% (23,145) |
Education Levels Comparison: Marshall vs White plains
- In White plains, a larger percentage of residents lack formal schooling at 1.0% compared to 0.8% in Marshall.
- A higher percentage of residents in Marshall hold a high school diploma at 18.7% compared to 11.6% in White plains.
- The percentage of residents with less than a high school education is higher in White plains at 14.7%, compared to 10.7% in Marshall.
- In White plains, a larger share of residents have a bachelor's degree or higher at 39.0% 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.