Demographics details for Helena, AL vs Smith center, KS
Population Overview
Compare main population characteristics in Helena, AL vs Smith center, KS.
| Data | Helena | Smith center |
|---|---|---|
| Population | 21,862 | 1,561 |
| Median Age | 38.2 years | 46.6 years |
| Median Income | $107,360 | $49,444 |
| Married Families | 46.0% | 43.0% |
| Poverty Level | 6% | 10% |
| Unemployment Rate | 2.8 | 3.2 |
Population Comparison: Helena vs Smith center
- In Helena, the population is higher at 21,862, compared to 1,561 in Smith center.
- The median age in Smith center is higher at 46.6 years, compared to 38.2 years in Helena.
- Helena has a higher median income of $107,360 compared to $49,444 in Smith center.
- A higher percentage of married families is found in Helena at 46.0% compared to 43.0% in Smith center.
- The poverty level is higher in Smith center at 10%, compared to 6% in Helena.
- Smith center has a higher unemployment rate at 3.2% compared to 2.8% in Helena.
Demographics
Demographics Helena vs Smith center provide insight into the diversity of the communities to compare.
| Demographic | Helena | Smith center |
|---|---|---|
| Black | 18 | 1 |
| White | 73 | 94 |
| Asian | 1 | Data is updating |
| Hispanic | 3 | 3 |
| Two or More Races | 5 | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Helena vs Smith center
- A higher percentage of Black residents are in Helena at 18% compared to 1% in Smith center.
- The percentage of White residents is higher in Smith center at 94% compared to 73% in Helena.
- The Asian population is larger in Helena at 1% compared to 0% in Smith center.
- The percentage of Hispanic residents is the same in both Helena and Smith center at 3%.
- More residents identify as two or more races in Helena at 5% compared to 2% in Smith center.
- The percentage of American Indian residents is the same in both Helena and Smith center at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Helena | Smith center |
|---|---|---|
| Mental Health Not Good | 15.2% | 16.7% |
| Physical Health Not Good | 8.6% | 10.8% |
| Depression | 21.9% | 21.7% |
| Smoking | 11.8% | 19.2% |
| Binge Drinking | 18.0% | 19.0% |
| Obesity | 32.1% | 38.8% |
| Disability Percentage | 7.0% | 15.0% |
Health Statistics Comparison: Helena vs Smith center
- In Smith center, a higher percentage report poor mental health at 16.7% compared to 15.2% in Helena.
- Depression is more prevalent in Helena at 21.9% compared to 21.7% in Smith center.
- Smith center has a higher smoking rate at 19.2% compared to 11.8% in Helena.
- More residents engage in binge drinking in Smith center at 19.0% compared to 18.0% in Helena.
- Smith center has higher obesity rates at 38.8% compared to 32.1% in Helena.
- There is a higher percentage of disabled individuals in Smith center at 15.0% compared to 7.0% in Helena.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Helena | Smith center |
|---|---|---|
| No Schooling | 0.5% (106) | 0.2% (3) |
| High School Diploma | 9.7% (2,129) | 29.4% (459) |
| Less than High School | 3.4% (749) | 7.6% (118) |
| Bachelor's Degree and Higher | 30.8% (6,741) | 14.8% (231) |
Education Levels Comparison: Helena vs Smith center
- A higher percentage of residents in Helena have no formal schooling at 0.5% 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 9.7% in Helena.
- The percentage of residents with less than a high school education is higher in Smith center at 7.6%, compared to 3.4% in Helena.
- A higher percentage of residents in Helena hold a bachelor's degree or higher at 30.8% compared to 14.8% in Smith center.
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.