Demographics details for Marshall, MI vs Star city, AR
Population Overview
Compare main population characteristics in Marshall, MI vs Star city, AR.
Data | Marshall | Star city |
---|---|---|
Population | 6,753 | 2,124 |
Median Age | 45.4 years | 36.3 years |
Median Income | $72,813 | $58,929 |
Married Families | 43.0% | 39.0% |
Poverty Level | 9% | 19% |
Unemployment Rate | 4.2 | 3.5 |
Population Comparison: Marshall vs Star city
- In Marshall, the population is higher at 6,753, compared to 2,124 in Star city.
- Residents in Marshall have a higher median age of 45.4 years compared to 36.3 years in Star city.
- Marshall has a higher median income of $72,813 compared to $58,929 in Star city.
- A higher percentage of married families is found in Marshall at 43.0% compared to 39.0% in Star city.
- The poverty level is higher in Star city at 19%, compared to 9% in Marshall.
- The unemployment rate in Marshall is higher at 4.2%, compared to 3.5% in Star city.
Demographics
Demographics Marshall vs Star city provide insight into the diversity of the communities to compare.
Demographic | Marshall | Star city |
---|---|---|
Black | Data is updating | 19 |
White | 94 | 74 |
Asian | Data is updating | Data is updating |
Hispanic | 4 | 1 |
Two or More Races | 2 | 4 |
American Indian | Data is updating | 2 |
Demographics Comparison: Marshall vs Star city
- In Star city, the percentage of Black residents is higher at 19% compared to 0% in Marshall.
- Marshall has a higher percentage of White residents at 94% compared to 74% in Star city.
- Both Marshall and Star city have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Marshall at 4% compared to 1% in Star city.
- The percentage of residents identifying as two or more races is higher in Star city at 4%, compared to 2% in Marshall.
- In Star city, the percentage of American Indian residents is higher at 2%, compared to 0% in Marshall.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Marshall | Star city |
---|---|---|
Mental Health Not Good | 17.0% | 18.8% |
Physical Health Not Good | 10.6% | 13.0% |
Depression | 25.2% | 25.7% |
Smoking | 17.3% | 20.6% |
Binge Drinking | 18.0% | 15.0% |
Obesity | 37.5% | 38.2% |
Disability Percentage | 11.0% | 17.0% |
Health Statistics Comparison: Marshall vs Star city
- In Star city, a higher percentage report poor mental health at 18.8% compared to 17.0% in Marshall.
- Higher depression rates are seen in Star city at 25.7% versus 25.2% in Marshall.
- Star city has a higher smoking rate at 20.6% compared to 17.3% in Marshall.
- Binge drinking is more common in Marshall at 18.0% compared to 15.0% in Star city.
- Star city has higher obesity rates at 38.2% compared to 37.5% in Marshall.
- There is a higher percentage of disabled individuals in Star city at 17.0% compared to 11.0% in Marshall.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Marshall | Star city |
---|---|---|
No Schooling | 0.7% (46) | 1.4% (29) |
High School Diploma | 15.8% (1,067) | 22.8% (484) |
Less than High School | 7.3% (493) | 10.5% (222) |
Bachelor's Degree and Higher | 33.1% (2,233) | 11.6% (246) |
Education Levels Comparison: Marshall vs Star city
- In Star city, a larger percentage of residents lack formal schooling at 1.4% compared to 0.7% in Marshall.
- In Star city, the rate of residents with high school diplomas is higher at 22.8% compared to 15.8% in Marshall.
- The percentage of residents with less than a high school education is higher in Star city at 10.5%, compared to 7.3% in Marshall.
- A higher percentage of residents in Marshall hold a bachelor's degree or higher at 33.1% compared to 11.6% in Star city.
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.