Demographics details for Webster, SD vs Smith center, KS
Population Overview
Compare main population characteristics in Webster, SD vs Smith center, KS.
| Data | Webster | Smith center |
|---|---|---|
| Population | 1,714 | 1,561 |
| Median Age | 42.8 years | 46.6 years |
| Median Income | $50,500 | $49,444 |
| Married Families | 34.0% | 43.0% |
| Poverty Level | 9% | 10% |
| Unemployment Rate | 3.2 | 3.2 |
Population Comparison: Webster vs Smith center
- In Webster, the population is higher at 1,714, compared to 1,561 in Smith center.
- The median age in Smith center is higher at 46.6 years, compared to 42.8 years in Webster.
- Webster has a higher median income of $50,500 compared to $49,444 in Smith center.
- In Smith center, the percentage of married families is higher at 43.0%, compared to 34.0% in Webster.
- The poverty level is higher in Smith center at 10%, compared to 9% in Webster.
- The unemployment rate is the same in both Webster and Smith center at 3.2%.
Demographics
Demographics Webster vs Smith center provide insight into the diversity of the communities to compare.
| Demographic | Webster | Smith center |
|---|---|---|
| Black | Data is updating | 1 |
| White | 94 | 94 |
| Asian | Data is updating | Data is updating |
| Hispanic | 3 | 3 |
| Two or More Races | 1 | 2 |
| American Indian | 2 | Data is updating |
Demographics Comparison: Webster vs Smith center
- In Smith center, the percentage of Black residents is higher at 1% compared to 0% in Webster.
- The percentage of White residents is the same in both Webster and Smith center at 94%.
- Both Webster and Smith center have the same percentage of Asian residents at 0%.
- The percentage of Hispanic residents is the same in both Webster and Smith center at 3%.
- The percentage of residents identifying as two or more races is higher in Smith center at 2%, compared to 1% in Webster.
- A greater percentage of American Indian residents live in Webster at 2% compared to 0% in Smith center.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Webster | Smith center |
|---|---|---|
| Mental Health Not Good | 14.7% | 16.7% |
| Physical Health Not Good | 10.6% | 10.8% |
| Depression | 18.7% | 21.7% |
| Smoking | 20.1% | 19.2% |
| Binge Drinking | 20.1% | 19.0% |
| Obesity | 39.0% | 38.8% |
| Disability Percentage | 14.0% | 15.0% |
Health Statistics Comparison: Webster vs Smith center
- In Smith center, a higher percentage report poor mental health at 16.7% compared to 14.7% in Webster.
- Higher depression rates are seen in Smith center at 21.7% versus 18.7% in Webster.
- Smoking is more prevalent in Webster at 20.1% compared to 19.2% in Smith center.
- Binge drinking is more common in Webster at 20.1% compared to 19.0% in Smith center.
- Obesity rates are higher in Webster at 39.0% compared to 38.8% in Smith center.
- There is a higher percentage of disabled individuals in Smith center at 15.0% compared to 14.0% in Webster.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Webster | Smith center |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.2% (3) |
| High School Diploma | 21.9% (375) | 29.4% (459) |
| Less than High School | 12.6% (216) | 7.6% (118) |
| Bachelor's Degree and Higher | 14.8% (253) | 14.8% (231) |
Education Levels Comparison: Webster vs Smith center
- In Smith center, a larger percentage of residents lack formal schooling at 0.2% compared to 0.0% in Webster.
- In Smith center, the rate of residents with high school diplomas is higher at 29.4% compared to 21.9% in Webster.
- More residents in Webster have less than a high school education at 12.6% compared to 7.6% in Smith center.
- The percentage of residents with a bachelor's degree or higher is identical in both Webster and Smith center at 14.8%.
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.