Demographics details for Pana, IL vs Smith center, KS
Population Overview
Compare main population characteristics in Pana, IL vs Smith center, KS.
| Data | Pana | Smith center |
|---|---|---|
| Population | 5,093 | 1,561 |
| Median Age | 41.7 years | 46.6 years |
| Median Income | $47,763 | $49,444 |
| Married Families | 32.0% | 43.0% |
| Poverty Level | 10% | 10% |
| Unemployment Rate | 5.2 | 3.2 |
Population Comparison: Pana vs Smith center
- In Pana, the population is higher at 5,093, compared to 1,561 in Smith center.
- The median age in Smith center is higher at 46.6 years, compared to 41.7 years in Pana.
- Smith center has a higher median income of $49,444, compared to $47,763 in Pana.
- In Smith center, the percentage of married families is higher at 43.0%, compared to 32.0% in Pana.
- The poverty level is identical in both Pana and Smith center at 10%.
- The unemployment rate in Pana is higher at 5.2%, compared to 3.2% in Smith center.
Demographics
Demographics Pana vs Smith center provide insight into the diversity of the communities to compare.
| Demographic | Pana | Smith center |
|---|---|---|
| Black | Data is updating | 1 |
| White | 93 | 94 |
| Asian | 1 | Data is updating |
| Hispanic | 3 | 3 |
| Two or More Races | 3 | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Pana vs Smith center
- In Smith center, the percentage of Black residents is higher at 1% compared to 0% in Pana.
- The percentage of White residents is higher in Smith center at 94% compared to 93% in Pana.
- The Asian population is larger in Pana at 1% compared to 0% in Smith center.
- The percentage of Hispanic residents is the same in both Pana and Smith center at 3%.
- More residents identify as two or more races in Pana at 3% compared to 2% in Smith center.
- The percentage of American Indian residents is the same in both Pana and Smith center at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Pana | Smith center |
|---|---|---|
| Mental Health Not Good | 17.9% | 16.7% |
| Physical Health Not Good | 12.5% | 10.8% |
| Depression | 22.8% | 21.7% |
| Smoking | 21.3% | 19.2% |
| Binge Drinking | 17.5% | 19.0% |
| Obesity | 39.1% | 38.8% |
| Disability Percentage | 16.0% | 15.0% |
Health Statistics Comparison: Pana vs Smith center
- More residents in Pana report poor mental health at 17.9% compared to 16.7% in Smith center.
- Depression is more prevalent in Pana at 22.8% compared to 21.7% in Smith center.
- Smoking is more prevalent in Pana at 21.3% compared to 19.2% in Smith center.
- More residents engage in binge drinking in Smith center at 19.0% compared to 17.5% in Pana.
- Obesity rates are higher in Pana at 39.1% compared to 38.8% in Smith center.
- Disability percentages are higher in Pana at 16.0% 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 | Pana | Smith center |
|---|---|---|
| No Schooling | 0.4% (21) | 0.2% (3) |
| High School Diploma | 30.7% (1,563) | 29.4% (459) |
| Less than High School | 17.1% (870) | 7.6% (118) |
| Bachelor's Degree and Higher | 11.0% (559) | 14.8% (231) |
Education Levels Comparison: Pana vs Smith center
- A higher percentage of residents in Pana have no formal schooling at 0.4% compared to 0.2% in Smith center.
- A higher percentage of residents in Pana hold a high school diploma at 30.7% compared to 29.4% in Smith center.
- More residents in Pana have less than a high school education at 17.1% 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 11.0% in Pana.
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.