Demographics details for Smith center, KS vs Carroll, IA
Population Overview
Compare main population characteristics in Smith center, KS vs Carroll, IA.
| Data | Smith center | Carroll |
|---|---|---|
| Population | 1,561 | 10,184 |
| Median Age | 46.6 years | 43.7 years |
| Median Income | $49,444 | $60,368 |
| Married Families | 43.0% | 39.0% |
| Poverty Level | 10% | 10% |
| Unemployment Rate | 3.2 | 3.5 |
Population Comparison: Smith center vs Carroll
- The population in Carroll is higher at 10,184, compared to 1,561 in Smith center.
- Residents in Smith center have a higher median age of 46.6 years compared to 43.7 years in Carroll.
- Carroll has a higher median income of $60,368, compared to $49,444 in Smith center.
- A higher percentage of married families is found in Smith center at 43.0% compared to 39.0% in Carroll.
- The poverty level is identical in both Smith center and Carroll at 10%.
- Carroll has a higher unemployment rate at 3.5% compared to 3.2% in Smith center.
Demographics
Demographics Smith center vs Carroll provide insight into the diversity of the communities to compare.
| Demographic | Smith center | Carroll |
|---|---|---|
| Black | 1 | 2 |
| White | 94 | 91 |
| Asian | Data is updating | 1 |
| Hispanic | 3 | 4 |
| Two or More Races | 2 | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Smith center vs Carroll
- In Carroll, the percentage of Black residents is higher at 2% compared to 1% in Smith center.
- Smith center has a higher percentage of White residents at 94% compared to 91% in Carroll.
- In Carroll, the Asian population stands at 1%, greater than 0% in Smith center.
- Carroll has a higher percentage of Hispanic residents at 4%, compared to 3% in Smith center.
- Both Smith center and Carroll 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 Smith center and Carroll at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Smith center | Carroll |
|---|---|---|
| Mental Health Not Good | 16.7% | 15.5% |
| Physical Health Not Good | 10.8% | 9.8% |
| Depression | 21.7% | 19.3% |
| Smoking | 19.2% | 17.3% |
| Binge Drinking | 19.0% | 21.7% |
| Obesity | 38.8% | 39.0% |
| Disability Percentage | 15.0% | 15.0% |
Health Statistics Comparison: Smith center vs Carroll
- More residents in Smith center report poor mental health at 16.7% compared to 15.5% in Carroll.
- Depression is more prevalent in Smith center at 21.7% compared to 19.3% in Carroll.
- Smoking is more prevalent in Smith center at 19.2% compared to 17.3% in Carroll.
- More residents engage in binge drinking in Carroll at 21.7% compared to 19.0% in Smith center.
- Carroll has higher obesity rates at 39.0% compared to 38.8% in Smith center.
- Disability percentages are the same in both Smith center and Carroll at 15.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Smith center | Carroll |
|---|---|---|
| No Schooling | 0.2% (3) | 0.0% (Data is updating) |
| High School Diploma | 29.4% (459) | 22.7% (2,316) |
| Less than High School | 7.6% (118) | 7.3% (742) |
| Bachelor's Degree and Higher | 14.8% (231) | 17.3% (1,763) |
Education Levels Comparison: Smith center vs Carroll
- A higher percentage of residents in Smith center have no formal schooling at 0.2% compared to 0.0% in Carroll.
- A higher percentage of residents in Smith center hold a high school diploma at 29.4% compared to 22.7% in Carroll.
- More residents in Smith center have less than a high school education at 7.6% compared to 7.3% in Carroll.
- In Carroll, a larger share of residents have a bachelor's degree or higher at 17.3% 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.