Demographics details for Rockville, MD vs Smith center, KS
Population Overview
Compare main population characteristics in Rockville, MD vs Smith center, KS.
| Data | Rockville | Smith center |
|---|---|---|
| Population | 66,924 | 1,561 |
| Median Age | 38.8 years | 46.6 years |
| Median Income | $122,470 | $49,444 |
| Married Families | 43.0% | 43.0% |
| Poverty Level | 5% | 10% |
| Unemployment Rate | 2.9 | 3.2 |
Population Comparison: Rockville vs Smith center
- In Rockville, the population is higher at 66,924, compared to 1,561 in Smith center.
- The median age in Smith center is higher at 46.6 years, compared to 38.8 years in Rockville.
- Rockville has a higher median income of $122,470 compared to $49,444 in Smith center.
- The percentage of married families is the same in both Rockville and Smith center at 43.0%.
- The poverty level is higher in Smith center at 10%, compared to 5% in Rockville.
- Smith center has a higher unemployment rate at 3.2% compared to 2.9% in Rockville.
Demographics
Demographics Rockville vs Smith center provide insight into the diversity of the communities to compare.
| Demographic | Rockville | Smith center |
|---|---|---|
| Black | 10 | 1 |
| White | 41 | 94 |
| Asian | 23 | Data is updating |
| Hispanic | 18 | 3 |
| Two or More Races | 8 | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Rockville vs Smith center
- A higher percentage of Black residents are in Rockville at 10% compared to 1% in Smith center.
- The percentage of White residents is higher in Smith center at 94% compared to 41% in Rockville.
- The Asian population is larger in Rockville at 23% compared to 0% in Smith center.
- The Hispanic community is larger in Rockville at 18% compared to 3% in Smith center.
- More residents identify as two or more races in Rockville at 8% compared to 2% in Smith center.
- The percentage of American Indian residents is the same in both Rockville and Smith center at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Rockville | Smith center |
|---|---|---|
| Mental Health Not Good | 12.6% | 16.7% |
| Physical Health Not Good | 7.1% | 10.8% |
| Depression | 17.8% | 21.7% |
| Smoking | 8.4% | 19.2% |
| Binge Drinking | 12.6% | 19.0% |
| Obesity | 22.8% | 38.8% |
| Disability Percentage | 9.0% | 15.0% |
Health Statistics Comparison: Rockville vs Smith center
- In Smith center, a higher percentage report poor mental health at 16.7% compared to 12.6% in Rockville.
- Higher depression rates are seen in Smith center at 21.7% versus 17.8% in Rockville.
- Smith center has a higher smoking rate at 19.2% compared to 8.4% in Rockville.
- More residents engage in binge drinking in Smith center at 19.0% compared to 12.6% in Rockville.
- Smith center has higher obesity rates at 38.8% compared to 22.8% in Rockville.
- There is a higher percentage of disabled individuals in Smith center at 15.0% compared to 9.0% in Rockville.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Rockville | Smith center |
|---|---|---|
| No Schooling | 1.1% (749) | 0.2% (3) |
| High School Diploma | 6.7% (4,473) | 29.4% (459) |
| Less than High School | 8.2% (5,509) | 7.6% (118) |
| Bachelor's Degree and Higher | 46.6% (31,165) | 14.8% (231) |
Education Levels Comparison: Rockville vs Smith center
- A higher percentage of residents in Rockville have no formal schooling at 1.1% 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 6.7% in Rockville.
- More residents in Rockville have less than a high school education at 8.2% compared to 7.6% in Smith center.
- A higher percentage of residents in Rockville hold a bachelor's degree or higher at 46.6% 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.