Demographics details for Dickinson, TX vs Maryville, MO
Population Overview
Compare main population characteristics in Dickinson, TX vs Maryville, MO.
| Data | Dickinson | Maryville |
|---|---|---|
| Population | 21,738 | 10,461 |
| Median Age | 35.8 years | 25.0 years |
| Median Income | $81,739 | $49,144 |
| Married Families | 42.0% | 28.0% |
| Poverty Level | 9% | 15% |
| Unemployment Rate | 4.9 | 3.5 |
Population Comparison: Dickinson vs Maryville
- In Dickinson, the population is higher at 21,738, compared to 10,461 in Maryville.
- Residents in Dickinson have a higher median age of 35.8 years compared to 25.0 years in Maryville.
- Dickinson has a higher median income of $81,739 compared to $49,144 in Maryville.
- A higher percentage of married families is found in Dickinson at 42.0% compared to 28.0% in Maryville.
- The poverty level is higher in Maryville at 15%, compared to 9% in Dickinson.
- The unemployment rate in Dickinson is higher at 4.9%, compared to 3.5% in Maryville.
Demographics
Demographics Dickinson vs Maryville provide insight into the diversity of the communities to compare.
| Demographic | Dickinson | Maryville |
|---|---|---|
| Black | 7 | 4 |
| White | 36 | 89 |
| Asian | 1 | 2 |
| Hispanic | 39 | 3 |
| Two or More Races | 17 | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Dickinson vs Maryville
- A higher percentage of Black residents are in Dickinson at 7% compared to 4% in Maryville.
- The percentage of White residents is higher in Maryville at 89% compared to 36% in Dickinson.
- In Maryville, the Asian population stands at 2%, greater than 1% in Dickinson.
- The Hispanic community is larger in Dickinson at 39% compared to 3% in Maryville.
- More residents identify as two or more races in Dickinson at 17% compared to 2% in Maryville.
- The percentage of American Indian residents is the same in both Dickinson and Maryville at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Dickinson | Maryville |
|---|---|---|
| Mental Health Not Good | 17.2% | 18.1% |
| Physical Health Not Good | 12.3% | 13.2% |
| Depression | 22.7% | 23.8% |
| Smoking | 17.2% | 20.1% |
| Binge Drinking | 17.6% | 17.9% |
| Obesity | 36.5% | 40.4% |
| Disability Percentage | 11.0% | 11.0% |
Health Statistics Comparison: Dickinson vs Maryville
- In Maryville, a higher percentage report poor mental health at 18.1% compared to 17.2% in Dickinson.
- Higher depression rates are seen in Maryville at 23.8% versus 22.7% in Dickinson.
- Maryville has a higher smoking rate at 20.1% compared to 17.2% in Dickinson.
- More residents engage in binge drinking in Maryville at 17.9% compared to 17.6% in Dickinson.
- Maryville has higher obesity rates at 40.4% compared to 36.5% in Dickinson.
- Disability percentages are the same in both Dickinson and Maryville at 11.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Dickinson | Maryville |
|---|---|---|
| No Schooling | 1.9% (403) | 0.1% (15) |
| High School Diploma | 12.0% (2,607) | 14.1% (1,471) |
| Less than High School | 18.9% (4,116) | 5.0% (522) |
| Bachelor's Degree and Higher | 15.8% (3,445) | 16.7% (1,743) |
Education Levels Comparison: Dickinson vs Maryville
- A higher percentage of residents in Dickinson have no formal schooling at 1.9% compared to 0.1% in Maryville.
- In Maryville, the rate of residents with high school diplomas is higher at 14.1% compared to 12.0% in Dickinson.
- More residents in Dickinson have less than a high school education at 18.9% compared to 5.0% in Maryville.
- In Maryville, a larger share of residents have a bachelor's degree or higher at 16.7% compared to 15.8% in Dickinson.
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.