Demographics details for Cullman, AL vs Russellville, KY
Population Overview
Compare main population characteristics in Cullman, AL vs Russellville, KY.
Data | Cullman | Russellville |
---|---|---|
Population | 19,251 | 7,282 |
Median Age | 42.0 years | 35.9 years |
Median Income | $59,982 | $45,484 |
Married Families | 39.0% | 38.0% |
Poverty Level | 12% | 15% |
Unemployment Rate | 4.3 | 4.0 |
Population Comparison: Cullman vs Russellville
- In Cullman, the population is higher at 19,251, compared to 7,282 in Russellville.
- Residents in Cullman have a higher median age of 42.0 years compared to 35.9 years in Russellville.
- Cullman has a higher median income of $59,982 compared to $45,484 in Russellville.
- A higher percentage of married families is found in Cullman at 39.0% compared to 38.0% in Russellville.
- The poverty level is higher in Russellville at 15%, compared to 12% in Cullman.
- The unemployment rate in Cullman is higher at 4.3%, compared to 4.0% in Russellville.
Demographics
Demographics Cullman vs Russellville provide insight into the diversity of the communities to compare.
Demographic | Cullman | Russellville |
---|---|---|
Black | 1 | 14 |
White | 92 | 79 |
Asian | 1 | 1 |
Hispanic | 2 | 4 |
Two or More Races | 4 | 2 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Cullman vs Russellville
- In Russellville, the percentage of Black residents is higher at 14% compared to 1% in Cullman.
- Cullman has a higher percentage of White residents at 92% compared to 79% in Russellville.
- Both Cullman and Russellville have the same percentage of Asian residents at 1%.
- Russellville has a higher percentage of Hispanic residents at 4%, compared to 2% in Cullman.
- More residents identify as two or more races in Cullman at 4% compared to 2% in Russellville.
- The percentage of American Indian residents is the same in both Cullman and Russellville at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Cullman | Russellville |
---|---|---|
Mental Health Not Good | 18.5% | 20.3% |
Physical Health Not Good | 12.6% | 15.3% |
Depression | 24.9% | 28.3% |
Smoking | 18.2% | 24.1% |
Binge Drinking | 16.4% | 14.2% |
Obesity | 37.5% | 43.0% |
Disability Percentage | 14.0% | 21.0% |
Health Statistics Comparison: Cullman vs Russellville
- In Russellville, a higher percentage report poor mental health at 20.3% compared to 18.5% in Cullman.
- Higher depression rates are seen in Russellville at 28.3% versus 24.9% in Cullman.
- Russellville has a higher smoking rate at 24.1% compared to 18.2% in Cullman.
- Binge drinking is more common in Cullman at 16.4% compared to 14.2% in Russellville.
- Russellville has higher obesity rates at 43.0% compared to 37.5% in Cullman.
- There is a higher percentage of disabled individuals in Russellville at 21.0% compared to 14.0% in Cullman.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Cullman | Russellville |
---|---|---|
No Schooling | 0.7% (130) | 1.1% (83) |
High School Diploma | 13.6% (2,614) | 24.4% (1,780) |
Less than High School | 13.0% (2,512) | 12.4% (903) |
Bachelor's Degree and Higher | 22.1% (4,253) | 9.1% (665) |
Education Levels Comparison: Cullman vs Russellville
- In Russellville, a larger percentage of residents lack formal schooling at 1.1% compared to 0.7% in Cullman.
- In Russellville, the rate of residents with high school diplomas is higher at 24.4% compared to 13.6% in Cullman.
- More residents in Cullman have less than a high school education at 13.0% compared to 12.4% in Russellville.
- A higher percentage of residents in Cullman hold a bachelor's degree or higher at 22.1% compared to 9.1% in Russellville.
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.