Demographics details for Smith center, KS vs Vero beach, FL
Population Overview
Compare main population characteristics in Smith center, KS vs Vero beach, FL.
Data | Smith center | Vero beach |
---|---|---|
Population | 1,561 | 17,096 |
Median Age | 46.6 years | 54.3 years |
Median Income | $49,444 | $59,335 |
Married Families | 43.0% | 39.0% |
Poverty Level | 10% | 10% |
Unemployment Rate | 3.2 | 4.2 |
Population Comparison: Smith center vs Vero beach
- The population in Vero beach is higher at 17,096, compared to 1,561 in Smith center.
- The median age in Vero beach is higher at 54.3 years, compared to 46.6 years in Smith center.
- Vero beach has a higher median income of $59,335, 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 Vero beach.
- The poverty level is identical in both Smith center and Vero beach at 10%.
- Vero beach has a higher unemployment rate at 4.2% compared to 3.2% in Smith center.
Demographics
Demographics Smith center vs Vero beach provide insight into the diversity of the communities to compare.
Demographic | Smith center | Vero beach |
---|---|---|
Black | 1 | 7 |
White | 94 | 74 |
Asian | Data is updating | 3 |
Hispanic | 3 | 9 |
Two or More Races | 2 | 7 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Smith center vs Vero beach
- In Vero beach, the percentage of Black residents is higher at 7% compared to 1% in Smith center.
- Smith center has a higher percentage of White residents at 94% compared to 74% in Vero beach.
- In Vero beach, the Asian population stands at 3%, greater than 0% in Smith center.
- Vero beach has a higher percentage of Hispanic residents at 9%, compared to 3% in Smith center.
- The percentage of residents identifying as two or more races is higher in Vero beach at 7%, compared to 2% in Smith center.
- The percentage of American Indian residents is the same in both Smith center and Vero beach at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Smith center | Vero beach |
---|---|---|
Mental Health Not Good | 16.7% | 15.6% |
Physical Health Not Good | 10.8% | 10.6% |
Depression | 21.7% | 18.8% |
Smoking | 19.2% | 20.2% |
Binge Drinking | 19.0% | 16.0% |
Obesity | 38.8% | 31.3% |
Disability Percentage | 15.0% | 13.0% |
Health Statistics Comparison: Smith center vs Vero beach
- More residents in Smith center report poor mental health at 16.7% compared to 15.6% in Vero beach.
- Depression is more prevalent in Smith center at 21.7% compared to 18.8% in Vero beach.
- Vero beach has a higher smoking rate at 20.2% compared to 19.2% in Smith center.
- Binge drinking is more common in Smith center at 19.0% compared to 16.0% in Vero beach.
- Obesity rates are higher in Smith center at 38.8% compared to 31.3% in Vero beach.
- Disability percentages are higher in Smith center at 15.0% compared to 13.0% in Vero beach.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Smith center | Vero beach |
---|---|---|
No Schooling | 0.2% (3) | 2.4% (409) |
High School Diploma | 29.4% (459) | 15.7% (2,688) |
Less than High School | 7.6% (118) | 13.0% (2,224) |
Bachelor's Degree and Higher | 14.8% (231) | 29.6% (5,060) |
Education Levels Comparison: Smith center vs Vero beach
- In Vero beach, a larger percentage of residents lack formal schooling at 2.4% compared to 0.2% in Smith center.
- A higher percentage of residents in Smith center hold a high school diploma at 29.4% compared to 15.7% in Vero beach.
- The percentage of residents with less than a high school education is higher in Vero beach at 13.0%, compared to 7.6% in Smith center.
- In Vero beach, a larger share of residents have a bachelor's degree or higher at 29.6% 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.