Demographics details for Cullman, AL vs Jeffersonville, IN
Population Overview
Compare main population characteristics in Cullman, AL vs Jeffersonville, IN.
Data | Cullman | Jeffersonville |
---|---|---|
Population | 19,251 | 51,030 |
Median Age | 42.0 years | 38.6 years |
Median Income | $59,982 | $67,566 |
Married Families | 39.0% | 37.0% |
Poverty Level | 12% | 10% |
Unemployment Rate | 4.3 | 4.1 |
Population Comparison: Cullman vs Jeffersonville
- The population in Jeffersonville is higher at 51,030, compared to 19,251 in Cullman.
- Residents in Cullman have a higher median age of 42.0 years compared to 38.6 years in Jeffersonville.
- Jeffersonville has a higher median income of $67,566, compared to $59,982 in Cullman.
- A higher percentage of married families is found in Cullman at 39.0% compared to 37.0% in Jeffersonville.
- Cullman has a higher poverty level at 12% compared to 10% in Jeffersonville.
- The unemployment rate in Cullman is higher at 4.3%, compared to 4.1% in Jeffersonville.
Demographics
Demographics Cullman vs Jeffersonville provide insight into the diversity of the communities to compare.
Demographic | Cullman | Jeffersonville |
---|---|---|
Black | 1 | 12 |
White | 92 | 75 |
Asian | 1 | 1 |
Hispanic | 2 | 5 |
Two or More Races | 4 | 7 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Cullman vs Jeffersonville
- In Jeffersonville, the percentage of Black residents is higher at 12% compared to 1% in Cullman.
- Cullman has a higher percentage of White residents at 92% compared to 75% in Jeffersonville.
- Both Cullman and Jeffersonville have the same percentage of Asian residents at 1%.
- Jeffersonville has a higher percentage of Hispanic residents at 5%, compared to 2% in Cullman.
- The percentage of residents identifying as two or more races is higher in Jeffersonville at 7%, compared to 4% in Cullman.
- The percentage of American Indian residents is the same in both Cullman and Jeffersonville at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Cullman | Jeffersonville |
---|---|---|
Mental Health Not Good | 18.5% | 17.3% |
Physical Health Not Good | 12.6% | 11.7% |
Depression | 24.9% | 23.5% |
Smoking | 18.2% | 20.2% |
Binge Drinking | 16.4% | 16.9% |
Obesity | 37.5% | 40.2% |
Disability Percentage | 14.0% | 13.0% |
Health Statistics Comparison: Cullman vs Jeffersonville
- More residents in Cullman report poor mental health at 18.5% compared to 17.3% in Jeffersonville.
- Depression is more prevalent in Cullman at 24.9% compared to 23.5% in Jeffersonville.
- Jeffersonville has a higher smoking rate at 20.2% compared to 18.2% in Cullman.
- More residents engage in binge drinking in Jeffersonville at 16.9% compared to 16.4% in Cullman.
- Jeffersonville has higher obesity rates at 40.2% compared to 37.5% in Cullman.
- Disability percentages are higher in Cullman at 14.0% compared to 13.0% in Jeffersonville.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Cullman | Jeffersonville |
---|---|---|
No Schooling | 0.7% (130) | 0.6% (293) |
High School Diploma | 13.6% (2,614) | 18.6% (9,472) |
Less than High School | 13.0% (2,512) | 9.7% (4,952) |
Bachelor's Degree and Higher | 22.1% (4,253) | 16.9% (8,649) |
Education Levels Comparison: Cullman vs Jeffersonville
- A higher percentage of residents in Cullman have no formal schooling at 0.7% compared to 0.6% in Jeffersonville.
- In Jeffersonville, the rate of residents with high school diplomas is higher at 18.6% compared to 13.6% in Cullman.
- More residents in Cullman have less than a high school education at 13.0% compared to 9.7% in Jeffersonville.
- A higher percentage of residents in Cullman hold a bachelor's degree or higher at 22.1% compared to 16.9% in Jeffersonville.
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.