Demographics details for Marshall, TX vs Independence, MO
Population Overview
Compare main population characteristics in Marshall, TX vs Independence, MO.
Data | Marshall | Independence |
---|---|---|
Population | 23,641 | 121,202 |
Median Age | 34.1 years | 39.5 years |
Median Income | $49,162 | $57,415 |
Married Families | 27.0% | 35.0% |
Poverty Level | 17% | 10% |
Unemployment Rate | 5.1 | 4.6 |
Population Comparison: Marshall vs Independence
- The population in Independence is higher at 121,202, compared to 23,641 in Marshall.
- The median age in Independence is higher at 39.5 years, compared to 34.1 years in Marshall.
- Independence has a higher median income of $57,415, compared to $49,162 in Marshall.
- In Independence, the percentage of married families is higher at 35.0%, compared to 27.0% in Marshall.
- Marshall has a higher poverty level at 17% compared to 10% in Independence.
- The unemployment rate in Marshall is higher at 5.1%, compared to 4.6% in Independence.
Demographics
Demographics Marshall vs Independence provide insight into the diversity of the communities to compare.
Demographic | Marshall | Independence |
---|---|---|
Black | 40 | 11 |
White | 28 | 71 |
Asian | 1 | 1 |
Hispanic | 20 | 10 |
Two or More Races | 11 | 7 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Marshall vs Independence
- A higher percentage of Black residents are in Marshall at 40% compared to 11% in Independence.
- The percentage of White residents is higher in Independence at 71% compared to 28% in Marshall.
- Both Marshall and Independence have the same percentage of Asian residents at 1%.
- The Hispanic community is larger in Marshall at 20% compared to 10% in Independence.
- More residents identify as two or more races in Marshall at 11% compared to 7% in Independence.
- The percentage of American Indian residents is the same in both Marshall and Independence at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Marshall | Independence |
---|---|---|
Mental Health Not Good | 19.2% | 19.7% |
Physical Health Not Good | 13.8% | 12.9% |
Depression | 22.7% | 24.2% |
Smoking | 21.0% | 20.8% |
Binge Drinking | 16.2% | 20.2% |
Obesity | 42.0% | 38.1% |
Disability Percentage | 17.0% | 15.0% |
Health Statistics Comparison: Marshall vs Independence
- In Independence, a higher percentage report poor mental health at 19.7% compared to 19.2% in Marshall.
- Higher depression rates are seen in Independence at 24.2% versus 22.7% in Marshall.
- Smoking is more prevalent in Marshall at 21.0% compared to 20.8% in Independence.
- More residents engage in binge drinking in Independence at 20.2% compared to 16.2% in Marshall.
- Obesity rates are higher in Marshall at 42.0% compared to 38.1% in Independence.
- Disability percentages are higher in Marshall at 17.0% compared to 15.0% in Independence.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Marshall | Independence |
---|---|---|
No Schooling | 0.8% (195) | 0.8% (1,000) |
High School Diploma | 18.7% (4,412) | 22.5% (27,271) |
Less than High School | 10.7% (2,527) | 13.3% (16,096) |
Bachelor's Degree and Higher | 13.2% (3,127) | 13.6% (16,518) |
Education Levels Comparison: Marshall vs Independence
- The percentage of residents with no formal schooling is the same in both Marshall and Independence at 0.8%.
- In Independence, 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 Independence at 13.3%, compared to 10.7% in Marshall.
- In Independence, a larger share of residents have a bachelor's degree or higher at 13.6% 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.