Demographics details for Cottonwood, AL vs Logan, OH
Population Overview
Compare main population characteristics in Cottonwood, AL vs Logan, OH.
Data | Cottonwood | Logan |
---|---|---|
Population | 1,057 | 46,040 |
Median Age | 44.5 years | 41.8 years |
Median Income | $31,591 | $69,125 |
Married Families | 35.0% | 47.0% |
Poverty Level | 10% | 9% |
Unemployment Rate | 3.5 | 4.8 |
Population Comparison: Cottonwood vs Logan
- The population in Logan is higher at 46,040, compared to 1,057 in Cottonwood.
- Residents in Cottonwood have a higher median age of 44.5 years compared to 41.8 years in Logan.
- Logan has a higher median income of $69,125, compared to $31,591 in Cottonwood.
- In Logan, the percentage of married families is higher at 47.0%, compared to 35.0% in Cottonwood.
- Cottonwood has a higher poverty level at 10% compared to 9% in Logan.
- Logan has a higher unemployment rate at 4.8% compared to 3.5% in Cottonwood.
Demographics
Demographics Cottonwood vs Logan provide insight into the diversity of the communities to compare.
Demographic | Cottonwood | Logan |
---|---|---|
Black | 37 | 2 |
White | 57 | 91 |
Asian | Data is updating | 1 |
Hispanic | Data is updating | 2 |
Two or More Races | 4 | 4 |
American Indian | 2 | Data is updating |
Demographics Comparison: Cottonwood vs Logan
- A higher percentage of Black residents are in Cottonwood at 37% compared to 2% in Logan.
- The percentage of White residents is higher in Logan at 91% compared to 57% in Cottonwood.
- In Logan, the Asian population stands at 1%, greater than 0% in Cottonwood.
- Logan has a higher percentage of Hispanic residents at 2%, compared to 0% in Cottonwood.
- Both Cottonwood and Logan have the same percentage of residents identifying as two or more races at 4%.
- A greater percentage of American Indian residents live in Cottonwood at 2% compared to 0% in Logan.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Cottonwood | Logan |
---|---|---|
Mental Health Not Good | 20.4% | 17.7% |
Physical Health Not Good | 14.1% | 11.8% |
Depression | 26.3% | 24.6% |
Smoking | 22.7% | 21.1% |
Binge Drinking | 14.5% | 18.5% |
Obesity | 40.8% | 39.9% |
Disability Percentage | 20.0% | 13.0% |
Health Statistics Comparison: Cottonwood vs Logan
- More residents in Cottonwood report poor mental health at 20.4% compared to 17.7% in Logan.
- Depression is more prevalent in Cottonwood at 26.3% compared to 24.6% in Logan.
- Smoking is more prevalent in Cottonwood at 22.7% compared to 21.1% in Logan.
- More residents engage in binge drinking in Logan at 18.5% compared to 14.5% in Cottonwood.
- Obesity rates are higher in Cottonwood at 40.8% compared to 39.9% in Logan.
- Disability percentages are higher in Cottonwood at 20.0% compared to 13.0% in Logan.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Cottonwood | Logan |
---|---|---|
No Schooling | 3.4% (36) | 0.4% (204) |
High School Diploma | 29.8% (315) | 27.1% (12,459) |
Less than High School | 28.8% (304) | 9.5% (4,365) |
Bachelor's Degree and Higher | 9.2% (97) | 13.1% (6,040) |
Education Levels Comparison: Cottonwood vs Logan
- A higher percentage of residents in Cottonwood have no formal schooling at 3.4% compared to 0.4% in Logan.
- A higher percentage of residents in Cottonwood hold a high school diploma at 29.8% compared to 27.1% in Logan.
- More residents in Cottonwood have less than a high school education at 28.8% compared to 9.5% in Logan.
- In Logan, a larger share of residents have a bachelor's degree or higher at 13.1% compared to 9.2% in Cottonwood.
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.