Demographics details for Logan, OH vs Smith center, KS
Population Overview
Compare main population characteristics in Logan, OH vs Smith center, KS.
| Data | Logan | Smith center |
|---|---|---|
| Population | 46,040 | 1,561 |
| Median Age | 41.8 years | 46.6 years |
| Median Income | $69,125 | $49,444 |
| Married Families | 47.0% | 43.0% |
| Poverty Level | 9% | 10% |
| Unemployment Rate | 4.8 | 3.2 |
Population Comparison: Logan vs Smith center
- In Logan, the population is higher at 46,040, compared to 1,561 in Smith center.
- The median age in Smith center is higher at 46.6 years, compared to 41.8 years in Logan.
- Logan has a higher median income of $69,125 compared to $49,444 in Smith center.
- A higher percentage of married families is found in Logan at 47.0% compared to 43.0% in Smith center.
- The poverty level is higher in Smith center at 10%, compared to 9% in Logan.
- The unemployment rate in Logan is higher at 4.8%, compared to 3.2% in Smith center.
Demographics
Demographics Logan vs Smith center provide insight into the diversity of the communities to compare.
| Demographic | Logan | Smith center |
|---|---|---|
| Black | 2 | 1 |
| White | 91 | 94 |
| Asian | 1 | Data is updating |
| Hispanic | 2 | 3 |
| Two or More Races | 4 | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Logan vs Smith center
- A higher percentage of Black residents are in Logan at 2% compared to 1% in Smith center.
- The percentage of White residents is higher in Smith center at 94% compared to 91% in Logan.
- The Asian population is larger in Logan at 1% compared to 0% in Smith center.
- Smith center has a higher percentage of Hispanic residents at 3%, compared to 2% in Logan.
- More residents identify as two or more races in Logan at 4% compared to 2% in Smith center.
- The percentage of American Indian residents is the same in both Logan and Smith center at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Logan | Smith center |
|---|---|---|
| Mental Health Not Good | 17.7% | 16.7% |
| Physical Health Not Good | 11.8% | 10.8% |
| Depression | 24.6% | 21.7% |
| Smoking | 21.1% | 19.2% |
| Binge Drinking | 18.5% | 19.0% |
| Obesity | 39.9% | 38.8% |
| Disability Percentage | 13.0% | 15.0% |
Health Statistics Comparison: Logan vs Smith center
- More residents in Logan report poor mental health at 17.7% compared to 16.7% in Smith center.
- Depression is more prevalent in Logan at 24.6% compared to 21.7% in Smith center.
- Smoking is more prevalent in Logan at 21.1% compared to 19.2% in Smith center.
- More residents engage in binge drinking in Smith center at 19.0% compared to 18.5% in Logan.
- Obesity rates are higher in Logan at 39.9% compared to 38.8% in Smith center.
- There is a higher percentage of disabled individuals in Smith center at 15.0% 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 | Logan | Smith center |
|---|---|---|
| No Schooling | 0.4% (204) | 0.2% (3) |
| High School Diploma | 27.1% (12,459) | 29.4% (459) |
| Less than High School | 9.5% (4,365) | 7.6% (118) |
| Bachelor's Degree and Higher | 13.1% (6,040) | 14.8% (231) |
Education Levels Comparison: Logan vs Smith center
- A higher percentage of residents in Logan have no formal schooling at 0.4% compared to 0.2% in Smith center.
- In Smith center, the rate of residents with high school diplomas is higher at 29.4% compared to 27.1% in Logan.
- More residents in Logan have less than a high school education at 9.5% compared to 7.6% in Smith center.
- In Smith center, a larger share of residents have a bachelor's degree or higher at 14.8% compared to 13.1% in Logan.
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.