Demographics details for Marshall, AR vs Midlothian, VA
Population Overview
Compare main population characteristics in Marshall, AR vs Midlothian, VA.
Data | Marshall | Midlothian |
---|---|---|
Population | 1,339 | 72,302 |
Median Age | 52.3 years | 40.6 years |
Median Income | $28,290 | $101,998 |
Married Families | 33.0% | 45.0% |
Poverty Level | 16% | 5% |
Unemployment Rate | 4.2 | 3.5 |
Population Comparison: Marshall vs Midlothian
- The population in Midlothian is higher at 72,302, compared to 1,339 in Marshall.
- Residents in Marshall have a higher median age of 52.3 years compared to 40.6 years in Midlothian.
- Midlothian has a higher median income of $101,998, compared to $28,290 in Marshall.
- In Midlothian, the percentage of married families is higher at 45.0%, compared to 33.0% in Marshall.
- Marshall has a higher poverty level at 16% compared to 5% in Midlothian.
- The unemployment rate in Marshall is higher at 4.2%, compared to 3.5% in Midlothian.
Demographics
Demographics Marshall vs Midlothian provide insight into the diversity of the communities to compare.
Demographic | Marshall | Midlothian |
---|---|---|
Black | Data is updating | 16 |
White | 84 | 69 |
Asian | Data is updating | 4 |
Hispanic | 3 | 7 |
Two or More Races | 12 | 4 |
American Indian | 1 | Data is updating |
Demographics Comparison: Marshall vs Midlothian
- In Midlothian, the percentage of Black residents is higher at 16% compared to 0% in Marshall.
- Marshall has a higher percentage of White residents at 84% compared to 69% in Midlothian.
- In Midlothian, the Asian population stands at 4%, greater than 0% in Marshall.
- Midlothian has a higher percentage of Hispanic residents at 7%, compared to 3% in Marshall.
- More residents identify as two or more races in Marshall at 12% compared to 4% in Midlothian.
- A greater percentage of American Indian residents live in Marshall at 1% compared to 0% in Midlothian.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Marshall | Midlothian |
---|---|---|
Mental Health Not Good | 21.7% | Data is updating% |
Physical Health Not Good | 16.2% | Data is updating% |
Depression | 29.8% | Data is updating% |
Smoking | 27.2% | Data is updating% |
Binge Drinking | 14.7% | Data is updating% |
Obesity | 39.2% | Data is updating% |
Disability Percentage | 30.0% | 10.0% |
Health Statistics Comparison: Marshall vs Midlothian
- More residents in Marshall report poor mental health at 21.7% compared to 0.0% in Midlothian.
- Depression is more prevalent in Marshall at 29.8% compared to 0.0% in Midlothian.
- Smoking is more prevalent in Marshall at 27.2% compared to 0.0% in Midlothian.
- Binge drinking is more common in Marshall at 14.7% compared to 0.0% in Midlothian.
- Obesity rates are higher in Marshall at 39.2% compared to 0.0% in Midlothian.
- Disability percentages are higher in Marshall at 30.0% compared to 10.0% in Midlothian.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Marshall | Midlothian |
---|---|---|
No Schooling | 0.9% (12) | 0.3% (227) |
High School Diploma | 27.9% (373) | 8.3% (5,974) |
Less than High School | 32.4% (434) | 4.8% (3,449) |
Bachelor's Degree and Higher | 11.7% (156) | 40.5% (29,291) |
Education Levels Comparison: Marshall vs Midlothian
- A higher percentage of residents in Marshall have no formal schooling at 0.9% compared to 0.3% in Midlothian.
- A higher percentage of residents in Marshall hold a high school diploma at 27.9% compared to 8.3% in Midlothian.
- More residents in Marshall have less than a high school education at 32.4% compared to 4.8% in Midlothian.
- In Midlothian, a larger share of residents have a bachelor's degree or higher at 40.5% compared to 11.7% 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.