Demographics details for Russellville, KY vs Wiggins, MS
Population Overview
Compare main population characteristics in Russellville, KY vs Wiggins, MS.
Data | Russellville | Wiggins |
---|---|---|
Population | 7,282 | 4,266 |
Median Age | 35.9 years | 38.7 years |
Median Income | $45,484 | $44,250 |
Married Families | 38.0% | 24.0% |
Poverty Level | 15% | 14% |
Unemployment Rate | 4.0 | 4.7 |
Population Comparison: Russellville vs Wiggins
- In Russellville, the population is higher at 7,282, compared to 4,266 in Wiggins.
- The median age in Wiggins is higher at 38.7 years, compared to 35.9 years in Russellville.
- Russellville has a higher median income of $45,484 compared to $44,250 in Wiggins.
- A higher percentage of married families is found in Russellville at 38.0% compared to 24.0% in Wiggins.
- Russellville has a higher poverty level at 15% compared to 14% in Wiggins.
- Wiggins has a higher unemployment rate at 4.7% compared to 4.0% in Russellville.
Demographics
Demographics Russellville vs Wiggins provide insight into the diversity of the communities to compare.
Demographic | Russellville | Wiggins |
---|---|---|
Black | 14 | 37 |
White | 79 | 59 |
Asian | 1 | Data is updating |
Hispanic | 4 | 2 |
Two or More Races | 2 | 2 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Russellville vs Wiggins
- In Wiggins, the percentage of Black residents is higher at 37% compared to 14% in Russellville.
- Russellville has a higher percentage of White residents at 79% compared to 59% in Wiggins.
- The Asian population is larger in Russellville at 1% compared to 0% in Wiggins.
- The Hispanic community is larger in Russellville at 4% compared to 2% in Wiggins.
- Both Russellville and Wiggins have the same percentage of residents identifying as two or more races at 2%.
- The percentage of American Indian residents is the same in both Russellville and Wiggins at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Russellville | Wiggins |
---|---|---|
Mental Health Not Good | 20.3% | 18.5% |
Physical Health Not Good | 15.3% | 14.5% |
Depression | 28.3% | 23.5% |
Smoking | 24.1% | 24.3% |
Binge Drinking | 14.2% | 13.6% |
Obesity | 43.0% | 43.2% |
Disability Percentage | 21.0% | 31.0% |
Health Statistics Comparison: Russellville vs Wiggins
- More residents in Russellville report poor mental health at 20.3% compared to 18.5% in Wiggins.
- Depression is more prevalent in Russellville at 28.3% compared to 23.5% in Wiggins.
- Wiggins has a higher smoking rate at 24.3% compared to 24.1% in Russellville.
- Binge drinking is more common in Russellville at 14.2% compared to 13.6% in Wiggins.
- Wiggins has higher obesity rates at 43.2% compared to 43.0% in Russellville.
- There is a higher percentage of disabled individuals in Wiggins at 31.0% compared to 21.0% in Russellville.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Russellville | Wiggins |
---|---|---|
No Schooling | 1.1% (83) | 1.8% (78) |
High School Diploma | 24.4% (1,780) | 16.7% (713) |
Less than High School | 12.4% (903) | 20.0% (852) |
Bachelor's Degree and Higher | 9.1% (665) | 8.4% (357) |
Education Levels Comparison: Russellville vs Wiggins
- In Wiggins, a larger percentage of residents lack formal schooling at 1.8% compared to 1.1% in Russellville.
- A higher percentage of residents in Russellville hold a high school diploma at 24.4% compared to 16.7% in Wiggins.
- The percentage of residents with less than a high school education is higher in Wiggins at 20.0%, compared to 12.4% in Russellville.
- A higher percentage of residents in Russellville hold a bachelor's degree or higher at 9.1% compared to 8.4% in Wiggins.
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.