Demographics details for Rockville, MD vs Klickitat, WA
Population Overview
Compare main population characteristics in Rockville, MD vs Klickitat, WA.
Data | Rockville | Klickitat |
---|---|---|
Population | 66,924 | 23,271 |
Median Age | 38.8 years | 47.0 years |
Median Income | $122,470 | $66,581 |
Married Families | 43.0% | 45.0% |
Poverty Level | 5% | 8% |
Unemployment Rate | 2.9 | 4.7 |
Population Comparison: Rockville vs Klickitat
- In Rockville, the population is higher at 66,924, compared to 23,271 in Klickitat.
- The median age in Klickitat is higher at 47.0 years, compared to 38.8 years in Rockville.
- Rockville has a higher median income of $122,470 compared to $66,581 in Klickitat.
- In Klickitat, the percentage of married families is higher at 45.0%, compared to 43.0% in Rockville.
- The poverty level is higher in Klickitat at 8%, compared to 5% in Rockville.
- Klickitat has a higher unemployment rate at 4.7% compared to 2.9% in Rockville.
Demographics
Demographics Rockville vs Klickitat provide insight into the diversity of the communities to compare.
Demographic | Rockville | Klickitat |
---|---|---|
Black | 10 | 1 |
White | 41 | 77 |
Asian | 23 | 1 |
Hispanic | 18 | 12 |
Two or More Races | 8 | 8 |
American Indian | Data is updating | 1 |
Demographics Comparison: Rockville vs Klickitat
- A higher percentage of Black residents are in Rockville at 10% compared to 1% in Klickitat.
- The percentage of White residents is higher in Klickitat at 77% compared to 41% in Rockville.
- The Asian population is larger in Rockville at 23% compared to 1% in Klickitat.
- The Hispanic community is larger in Rockville at 18% compared to 12% in Klickitat.
- Both Rockville and Klickitat have the same percentage of residents identifying as two or more races at 8%.
- In Klickitat, the percentage of American Indian residents is higher at 1%, compared to 0% in Rockville.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Rockville | Klickitat |
---|---|---|
Mental Health Not Good | 12.6% | 17.6% |
Physical Health Not Good | 7.1% | 11.7% |
Depression | 17.8% | 25.6% |
Smoking | 8.4% | 15.5% |
Binge Drinking | 12.6% | 18.7% |
Obesity | 22.8% | 30.7% |
Disability Percentage | 9.0% | 15.0% |
Health Statistics Comparison: Rockville vs Klickitat
- In Klickitat, a higher percentage report poor mental health at 17.6% compared to 12.6% in Rockville.
- Higher depression rates are seen in Klickitat at 25.6% versus 17.8% in Rockville.
- Klickitat has a higher smoking rate at 15.5% compared to 8.4% in Rockville.
- More residents engage in binge drinking in Klickitat at 18.7% compared to 12.6% in Rockville.
- Klickitat has higher obesity rates at 30.7% compared to 22.8% in Rockville.
- There is a higher percentage of disabled individuals in Klickitat 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 | Klickitat |
---|---|---|
No Schooling | 1.1% (749) | 1.0% (223) |
High School Diploma | 6.7% (4,473) | 16.1% (3,753) |
Less than High School | 8.2% (5,509) | 15.2% (3,532) |
Bachelor's Degree and Higher | 46.6% (31,165) | 22.7% (5,271) |
Education Levels Comparison: Rockville vs Klickitat
- A higher percentage of residents in Rockville have no formal schooling at 1.1% compared to 1.0% in Klickitat.
- In Klickitat, the rate of residents with high school diplomas is higher at 16.1% compared to 6.7% in Rockville.
- The percentage of residents with less than a high school education is higher in Klickitat at 15.2%, compared to 8.2% in Rockville.
- A higher percentage of residents in Rockville hold a bachelor's degree or higher at 46.6% compared to 22.7% in Klickitat.
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.