Demographics details for Marshall, AR vs Federalsburg, MD
Population Overview
Compare main population characteristics in Marshall, AR vs Federalsburg, MD.
Data | Marshall | Federalsburg |
---|---|---|
Population | 1,339 | 2,806 |
Median Age | 52.3 years | 36.4 years |
Median Income | $28,290 | $33,511 |
Married Families | 33.0% | 32.0% |
Poverty Level | 16% | 10% |
Unemployment Rate | 4.2 | 4.5 |
Population Comparison: Marshall vs Federalsburg
- The population in Federalsburg is higher at 2,806, compared to 1,339 in Marshall.
- Residents in Marshall have a higher median age of 52.3 years compared to 36.4 years in Federalsburg.
- Federalsburg has a higher median income of $33,511, compared to $28,290 in Marshall.
- A higher percentage of married families is found in Marshall at 33.0% compared to 32.0% in Federalsburg.
- Marshall has a higher poverty level at 16% compared to 10% in Federalsburg.
- Federalsburg has a higher unemployment rate at 4.5% compared to 4.2% in Marshall.
Demographics
Demographics Marshall vs Federalsburg provide insight into the diversity of the communities to compare.
Demographic | Marshall | Federalsburg |
---|---|---|
Black | Data is updating | 47 |
White | 84 | 38 |
Asian | Data is updating | Data is updating |
Hispanic | 3 | 4 |
Two or More Races | 12 | 10 |
American Indian | 1 | 1 |
Demographics Comparison: Marshall vs Federalsburg
- In Federalsburg, the percentage of Black residents is higher at 47% compared to 0% in Marshall.
- Marshall has a higher percentage of White residents at 84% compared to 38% in Federalsburg.
- Both Marshall and Federalsburg have the same percentage of Asian residents at 0%.
- Federalsburg has a higher percentage of Hispanic residents at 4%, compared to 3% in Marshall.
- More residents identify as two or more races in Marshall at 12% compared to 10% in Federalsburg.
- The percentage of American Indian residents is the same in both Marshall and Federalsburg at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Marshall | Federalsburg |
---|---|---|
Mental Health Not Good | 21.7% | 20.7% |
Physical Health Not Good | 16.2% | 13.9% |
Depression | 29.8% | 23.0% |
Smoking | 27.2% | 22.8% |
Binge Drinking | 14.7% | 12.8% |
Obesity | 39.2% | 47.3% |
Disability Percentage | 30.0% | 24.0% |
Health Statistics Comparison: Marshall vs Federalsburg
- More residents in Marshall report poor mental health at 21.7% compared to 20.7% in Federalsburg.
- Depression is more prevalent in Marshall at 29.8% compared to 23.0% in Federalsburg.
- Smoking is more prevalent in Marshall at 27.2% compared to 22.8% in Federalsburg.
- Binge drinking is more common in Marshall at 14.7% compared to 12.8% in Federalsburg.
- Federalsburg has higher obesity rates at 47.3% compared to 39.2% in Marshall.
- Disability percentages are higher in Marshall at 30.0% compared to 24.0% in Federalsburg.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Marshall | Federalsburg |
---|---|---|
No Schooling | 0.9% (12) | 1.5% (41) |
High School Diploma | 27.9% (373) | 24.5% (687) |
Less than High School | 32.4% (434) | 22.2% (624) |
Bachelor's Degree and Higher | 11.7% (156) | 4.7% (131) |
Education Levels Comparison: Marshall vs Federalsburg
- In Federalsburg, a larger percentage of residents lack formal schooling at 1.5% compared to 0.9% in Marshall.
- A higher percentage of residents in Marshall hold a high school diploma at 27.9% compared to 24.5% in Federalsburg.
- More residents in Marshall have less than a high school education at 32.4% compared to 22.2% in Federalsburg.
- A higher percentage of residents in Marshall hold a bachelor's degree or higher at 11.7% compared to 4.7% in Federalsburg.
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.