Demographics details for Iuka, MS vs Smith center, KS
Population Overview
Compare main population characteristics in Iuka, MS vs Smith center, KS.
| Data | Iuka | Smith center |
|---|---|---|
| Population | 3,096 | 1,561 |
| Median Age | 37.2 years | 46.6 years |
| Median Income | $43,887 | $49,444 |
| Married Families | 40.0% | 43.0% |
| Poverty Level | 22% | 10% |
| Unemployment Rate | 5.0 | 3.2 |
Population Comparison: Iuka vs Smith center
- In Iuka, the population is higher at 3,096, compared to 1,561 in Smith center.
- The median age in Smith center is higher at 46.6 years, compared to 37.2 years in Iuka.
- Smith center has a higher median income of $49,444, compared to $43,887 in Iuka.
- In Smith center, the percentage of married families is higher at 43.0%, compared to 40.0% in Iuka.
- Iuka has a higher poverty level at 22% compared to 10% in Smith center.
- The unemployment rate in Iuka is higher at 5.0%, compared to 3.2% in Smith center.
Demographics
Demographics Iuka vs Smith center provide insight into the diversity of the communities to compare.
| Demographic | Iuka | Smith center |
|---|---|---|
| Black | 4 | 1 |
| White | 94 | 94 |
| Asian | Data is updating | Data is updating |
| Hispanic | Data is updating | 3 |
| Two or More Races | 2 | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Iuka vs Smith center
- A higher percentage of Black residents are in Iuka at 4% compared to 1% in Smith center.
- The percentage of White residents is the same in both Iuka and Smith center at 94%.
- Both Iuka and Smith center have the same percentage of Asian residents at 0%.
- Smith center has a higher percentage of Hispanic residents at 3%, compared to 0% in Iuka.
- Both Iuka and Smith center have the same percentage of residents identifying as two or more races at 2%.
- The percentage of American Indian residents is the same in both Iuka and Smith center at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Iuka | Smith center |
|---|---|---|
| Mental Health Not Good | 19.6% | 16.7% |
| Physical Health Not Good | 15.1% | 10.8% |
| Depression | 26.4% | 21.7% |
| Smoking | 25.7% | 19.2% |
| Binge Drinking | 14.6% | 19.0% |
| Obesity | 40.0% | 38.8% |
| Disability Percentage | 19.0% | 15.0% |
Health Statistics Comparison: Iuka vs Smith center
- More residents in Iuka report poor mental health at 19.6% compared to 16.7% in Smith center.
- Depression is more prevalent in Iuka at 26.4% compared to 21.7% in Smith center.
- Smoking is more prevalent in Iuka at 25.7% compared to 19.2% in Smith center.
- More residents engage in binge drinking in Smith center at 19.0% compared to 14.6% in Iuka.
- Obesity rates are higher in Iuka at 40.0% compared to 38.8% in Smith center.
- Disability percentages are higher in Iuka at 19.0% compared to 15.0% in Smith center.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Iuka | Smith center |
|---|---|---|
| No Schooling | 2.4% (75) | 0.2% (3) |
| High School Diploma | 19.9% (616) | 29.4% (459) |
| Less than High School | 21.0% (650) | 7.6% (118) |
| Bachelor's Degree and Higher | 11.2% (348) | 14.8% (231) |
Education Levels Comparison: Iuka vs Smith center
- A higher percentage of residents in Iuka have no formal schooling at 2.4% 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 19.9% in Iuka.
- More residents in Iuka have less than a high school education at 21.0% 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 11.2% in Iuka.
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.