Demographics details for Denton, MD vs Mountain view, CA
Population Overview
Compare main population characteristics in Denton, MD vs Mountain view, CA.
Data | Denton | Mountain view |
---|---|---|
Population | 4,924 | 81,059 |
Median Age | 36.2 years | 35.5 years |
Median Income | $59,155 | $174,156 |
Married Families | 28.0% | 43.0% |
Poverty Level | 5% | 6% |
Unemployment Rate | 3.2 | 3.2 |
Population Comparison: Denton vs Mountain view
- The population in Mountain view is higher at 81,059, compared to 4,924 in Denton.
- Residents in Denton have a higher median age of 36.2 years compared to 35.5 years in Mountain view.
- Mountain view has a higher median income of $174,156, compared to $59,155 in Denton.
- In Mountain view, the percentage of married families is higher at 43.0%, compared to 28.0% in Denton.
- The poverty level is higher in Mountain view at 6%, compared to 5% in Denton.
- The unemployment rate is the same in both Denton and Mountain view at 3.2%.
Demographics
Demographics Denton vs Mountain view provide insight into the diversity of the communities to compare.
Demographic | Denton | Mountain view |
---|---|---|
Black | 25 | 2 |
White | 67 | 32 |
Asian | Data is updating | 34 |
Hispanic | 3 | 19 |
Two or More Races | 5 | 12 |
American Indian | Data is updating | 1 |
Demographics Comparison: Denton vs Mountain view
- A higher percentage of Black residents are in Denton at 25% compared to 2% in Mountain view.
- Denton has a higher percentage of White residents at 67% compared to 32% in Mountain view.
- In Mountain view, the Asian population stands at 34%, greater than 0% in Denton.
- Mountain view has a higher percentage of Hispanic residents at 19%, compared to 3% in Denton.
- The percentage of residents identifying as two or more races is higher in Mountain view at 12%, compared to 5% in Denton.
- In Mountain view, the percentage of American Indian residents is higher at 1%, compared to 0% in Denton.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Denton | Mountain view |
---|---|---|
Mental Health Not Good | 18.7% | 11.7% |
Physical Health Not Good | 12.0% | 7.1% |
Depression | 22.5% | 14.7% |
Smoking | 19.1% | 6.5% |
Binge Drinking | 14.4% | 14.9% |
Obesity | 43.5% | 19.1% |
Disability Percentage | 15.0% | 6.0% |
Health Statistics Comparison: Denton vs Mountain view
- More residents in Denton report poor mental health at 18.7% compared to 11.7% in Mountain view.
- Depression is more prevalent in Denton at 22.5% compared to 14.7% in Mountain view.
- Smoking is more prevalent in Denton at 19.1% compared to 6.5% in Mountain view.
- More residents engage in binge drinking in Mountain view at 14.9% compared to 14.4% in Denton.
- Obesity rates are higher in Denton at 43.5% compared to 19.1% in Mountain view.
- Disability percentages are higher in Denton at 15.0% compared to 6.0% in Mountain view.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Denton | Mountain view |
---|---|---|
No Schooling | 0.7% (33) | 1.0% (826) |
High School Diploma | 19.2% (944) | 4.9% (3,963) |
Less than High School | 23.0% (1,134) | 7.1% (5,739) |
Bachelor's Degree and Higher | 8.8% (433) | 54.5% (44,174) |
Education Levels Comparison: Denton vs Mountain view
- In Mountain view, a larger percentage of residents lack formal schooling at 1.0% compared to 0.7% in Denton.
- A higher percentage of residents in Denton hold a high school diploma at 19.2% compared to 4.9% in Mountain view.
- More residents in Denton have less than a high school education at 23.0% compared to 7.1% in Mountain view.
- In Mountain view, a larger share of residents have a bachelor's degree or higher at 54.5% compared to 8.8% in Denton.
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.