Demographics details for Scott city, KS vs Marshall, AR
Population Overview
Compare main population characteristics in Scott city, KS vs Marshall, AR.
Data | Scott city | Marshall |
---|---|---|
Population | 4,008 | 1,339 |
Median Age | 36.0 years | 52.3 years |
Median Income | $47,217 | $28,290 |
Married Families | 44.0% | 33.0% |
Poverty Level | 10% | 16% |
Unemployment Rate | 4.0 | 4.2 |
Population Comparison: Scott city vs Marshall
- In Scott city, the population is higher at 4,008, compared to 1,339 in Marshall.
- The median age in Marshall is higher at 52.3 years, compared to 36.0 years in Scott city.
- Scott city has a higher median income of $47,217 compared to $28,290 in Marshall.
- A higher percentage of married families is found in Scott city at 44.0% compared to 33.0% in Marshall.
- The poverty level is higher in Marshall at 16%, compared to 10% in Scott city.
- Marshall has a higher unemployment rate at 4.2% compared to 4.0% in Scott city.
Demographics
Demographics Scott city vs Marshall provide insight into the diversity of the communities to compare.
Demographic | Scott city | Marshall |
---|---|---|
Black | Data is updating | Data is updating |
White | 69 | 84 |
Asian | 1 | Data is updating |
Hispanic | 25 | 3 |
Two or More Races | 5 | 12 |
American Indian | Data is updating | 1 |
Demographics Comparison: Scott city vs Marshall
- The percentage of Black residents is the same in both Scott city and Marshall at 0%.
- The percentage of White residents is higher in Marshall at 84% compared to 69% in Scott city.
- The Asian population is larger in Scott city at 1% compared to 0% in Marshall.
- The Hispanic community is larger in Scott city at 25% compared to 3% in Marshall.
- The percentage of residents identifying as two or more races is higher in Marshall at 12%, compared to 5% in Scott city.
- In Marshall, the percentage of American Indian residents is higher at 1%, compared to 0% in Scott city.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Scott city | Marshall |
---|---|---|
Mental Health Not Good | 15.6% | 21.7% |
Physical Health Not Good | 10.3% | 16.2% |
Depression | 19.7% | 29.8% |
Smoking | 17.6% | 27.2% |
Binge Drinking | 19.2% | 14.7% |
Obesity | 38.1% | 39.2% |
Disability Percentage | 11.0% | 30.0% |
Health Statistics Comparison: Scott city vs Marshall
- In Marshall, a higher percentage report poor mental health at 21.7% compared to 15.6% in Scott city.
- Higher depression rates are seen in Marshall at 29.8% versus 19.7% in Scott city.
- Marshall has a higher smoking rate at 27.2% compared to 17.6% in Scott city.
- Binge drinking is more common in Scott city at 19.2% compared to 14.7% in Marshall.
- Marshall has higher obesity rates at 39.2% compared to 38.1% in Scott city.
- There is a higher percentage of disabled individuals in Marshall at 30.0% compared to 11.0% in Scott city.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Scott city | Marshall |
---|---|---|
No Schooling | 2.9% (116) | 0.9% (12) |
High School Diploma | 13.5% (543) | 27.9% (373) |
Less than High School | 24.2% (968) | 32.4% (434) |
Bachelor's Degree and Higher | 12.2% (490) | 11.7% (156) |
Education Levels Comparison: Scott city vs Marshall
- A higher percentage of residents in Scott city have no formal schooling at 2.9% compared to 0.9% in Marshall.
- In Marshall, the rate of residents with high school diplomas is higher at 27.9% compared to 13.5% in Scott city.
- The percentage of residents with less than a high school education is higher in Marshall at 32.4%, compared to 24.2% in Scott city.
- A higher percentage of residents in Scott city hold a bachelor's degree or higher at 12.2% 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.