Demographics details for Marshall, TX vs Springfield, MA
Population Overview
Compare main population characteristics in Marshall, TX vs Springfield, MA.
Data | Marshall | Springfield |
---|---|---|
Population | 23,641 | 154,064 |
Median Age | 34.1 years | 33.4 years |
Median Income | $49,162 | $47,677 |
Married Families | 27.0% | 26.0% |
Poverty Level | 17% | 20% |
Unemployment Rate | 5.1 | 6.9 |
Population Comparison: Marshall vs Springfield
- The population in Springfield is higher at 154,064, compared to 23,641 in Marshall.
- Residents in Marshall have a higher median age of 34.1 years compared to 33.4 years in Springfield.
- Marshall has a higher median income of $49,162 compared to $47,677 in Springfield.
- A higher percentage of married families is found in Marshall at 27.0% compared to 26.0% in Springfield.
- The poverty level is higher in Springfield at 20%, compared to 17% in Marshall.
- Springfield has a higher unemployment rate at 6.9% compared to 5.1% in Marshall.
Demographics
Demographics Marshall vs Springfield provide insight into the diversity of the communities to compare.
Demographic | Marshall | Springfield |
---|---|---|
Black | 40 | 21 |
White | 28 | 8 |
Asian | 1 | 3 |
Hispanic | 20 | 49 |
Two or More Races | 11 | 19 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Marshall vs Springfield
- A higher percentage of Black residents are in Marshall at 40% compared to 21% in Springfield.
- Marshall has a higher percentage of White residents at 28% compared to 8% in Springfield.
- In Springfield, the Asian population stands at 3%, greater than 1% in Marshall.
- Springfield has a higher percentage of Hispanic residents at 49%, compared to 20% in Marshall.
- The percentage of residents identifying as two or more races is higher in Springfield at 19%, compared to 11% in Marshall.
- The percentage of American Indian residents is the same in both Marshall and Springfield at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Marshall | Springfield |
---|---|---|
Mental Health Not Good | 19.2% | 21.2% |
Physical Health Not Good | 13.8% | 14.9% |
Depression | 22.7% | 25.8% |
Smoking | 21.0% | 19.9% |
Binge Drinking | 16.2% | 14.3% |
Obesity | 42.0% | 40.8% |
Disability Percentage | 17.0% | 19.0% |
Health Statistics Comparison: Marshall vs Springfield
- In Springfield, a higher percentage report poor mental health at 21.2% compared to 19.2% in Marshall.
- Higher depression rates are seen in Springfield at 25.8% versus 22.7% in Marshall.
- Smoking is more prevalent in Marshall at 21.0% compared to 19.9% in Springfield.
- Binge drinking is more common in Marshall at 16.2% compared to 14.3% in Springfield.
- Obesity rates are higher in Marshall at 42.0% compared to 40.8% in Springfield.
- There is a higher percentage of disabled individuals in Springfield at 19.0% 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 | Springfield |
---|---|---|
No Schooling | 0.8% (195) | 2.0% (3,005) |
High School Diploma | 18.7% (4,412) | 16.7% (25,679) |
Less than High School | 10.7% (2,527) | 23.8% (36,663) |
Bachelor's Degree and Higher | 13.2% (3,127) | 12.7% (19,500) |
Education Levels Comparison: Marshall vs Springfield
- In Springfield, a larger percentage of residents lack formal schooling at 2.0% compared to 0.8% in Marshall.
- A higher percentage of residents in Marshall hold a high school diploma at 18.7% compared to 16.7% in Springfield.
- The percentage of residents with less than a high school education is higher in Springfield at 23.8%, compared to 10.7% in Marshall.
- A higher percentage of residents in Marshall hold a bachelor's degree or higher at 13.2% compared to 12.7% in Springfield.
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.