Demographics details for Junction city, KY vs Marshall, AR
Population Overview
Compare main population characteristics in Junction city, KY vs Marshall, AR.
Data | Junction city | Marshall |
---|---|---|
Population | 2,290 | 1,339 |
Median Age | 41.6 years | 52.3 years |
Median Income | $38,646 | $28,290 |
Married Families | 35.0% | 33.0% |
Poverty Level | 15% | 16% |
Unemployment Rate | 4.0 | 4.2 |
Population Comparison: Junction city vs Marshall
- In Junction city, the population is higher at 2,290, compared to 1,339 in Marshall.
- The median age in Marshall is higher at 52.3 years, compared to 41.6 years in Junction city.
- Junction city has a higher median income of $38,646 compared to $28,290 in Marshall.
- A higher percentage of married families is found in Junction city at 35.0% compared to 33.0% in Marshall.
- The poverty level is higher in Marshall at 16%, compared to 15% in Junction city.
- Marshall has a higher unemployment rate at 4.2% compared to 4.0% in Junction city.
Demographics
Demographics Junction city vs Marshall provide insight into the diversity of the communities to compare.
Demographic | Junction city | Marshall |
---|---|---|
Black | 2 | Data is updating |
White | 79 | 84 |
Asian | Data is updating | Data is updating |
Hispanic | 7 | 3 |
Two or More Races | 12 | 12 |
American Indian | Data is updating | 1 |
Demographics Comparison: Junction city vs Marshall
- A higher percentage of Black residents are in Junction city at 2% compared to 0% in Marshall.
- The percentage of White residents is higher in Marshall at 84% compared to 79% in Junction city.
- Both Junction city and Marshall have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Junction city at 7% compared to 3% in Marshall.
- Both Junction city and Marshall have the same percentage of residents identifying as two or more races at 12%.
- In Marshall, the percentage of American Indian residents is higher at 1%, compared to 0% in Junction city.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Junction city | Marshall |
---|---|---|
Mental Health Not Good | 20.0% | 21.7% |
Physical Health Not Good | 14.8% | 16.2% |
Depression | 29.5% | 29.8% |
Smoking | 23.5% | 27.2% |
Binge Drinking | 15.1% | 14.7% |
Obesity | 41.2% | 39.2% |
Disability Percentage | 27.0% | 30.0% |
Health Statistics Comparison: Junction city vs Marshall
- In Marshall, a higher percentage report poor mental health at 21.7% compared to 20.0% in Junction city.
- Higher depression rates are seen in Marshall at 29.8% versus 29.5% in Junction city.
- Marshall has a higher smoking rate at 27.2% compared to 23.5% in Junction city.
- Binge drinking is more common in Junction city at 15.1% compared to 14.7% in Marshall.
- Obesity rates are higher in Junction city at 41.2% compared to 39.2% in Marshall.
- There is a higher percentage of disabled individuals in Marshall at 30.0% compared to 27.0% in Junction city.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Junction city | Marshall |
---|---|---|
No Schooling | 1.6% (37) | 0.9% (12) |
High School Diploma | 23.9% (547) | 27.9% (373) |
Less than High School | 18.0% (412) | 32.4% (434) |
Bachelor's Degree and Higher | 9.2% (211) | 11.7% (156) |
Education Levels Comparison: Junction city vs Marshall
- A higher percentage of residents in Junction city have no formal schooling at 1.6% compared to 0.9% in Marshall.
- In Marshall, the rate of residents with high school diplomas is higher at 27.9% compared to 23.9% in Junction city.
- The percentage of residents with less than a high school education is higher in Marshall at 32.4%, compared to 18.0% in Junction city.
- In Marshall, a larger share of residents have a bachelor's degree or higher at 11.7% compared to 9.2% in Junction 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.