Demographics details for Dickinson, TX vs Eufaula, OK
Population Overview
Compare main population characteristics in Dickinson, TX vs Eufaula, OK.
Data | Dickinson | Eufaula |
---|---|---|
Population | 21,738 | 2,805 |
Median Age | 35.8 years | 47.7 years |
Median Income | $81,739 | $38,774 |
Married Families | 42.0% | 26.0% |
Poverty Level | 9% | 15% |
Unemployment Rate | 4.9 | 3.2 |
Population Comparison: Dickinson vs Eufaula
- In Dickinson, the population is higher at 21,738, compared to 2,805 in Eufaula.
- The median age in Eufaula is higher at 47.7 years, compared to 35.8 years in Dickinson.
- Dickinson has a higher median income of $81,739 compared to $38,774 in Eufaula.
- A higher percentage of married families is found in Dickinson at 42.0% compared to 26.0% in Eufaula.
- The poverty level is higher in Eufaula at 15%, compared to 9% in Dickinson.
- The unemployment rate in Dickinson is higher at 4.9%, compared to 3.2% in Eufaula.
Demographics
Demographics Dickinson vs Eufaula provide insight into the diversity of the communities to compare.
Demographic | Dickinson | Eufaula |
---|---|---|
Black | 7 | 5 |
White | 36 | 70 |
Asian | 1 | 1 |
Hispanic | 39 | Data is updating |
Two or More Races | 17 | 11 |
American Indian | Data is updating | 13 |
Demographics Comparison: Dickinson vs Eufaula
- A higher percentage of Black residents are in Dickinson at 7% compared to 5% in Eufaula.
- The percentage of White residents is higher in Eufaula at 70% compared to 36% in Dickinson.
- Both Dickinson and Eufaula have the same percentage of Asian residents at 1%.
- The Hispanic community is larger in Dickinson at 39% compared to 0% in Eufaula.
- More residents identify as two or more races in Dickinson at 17% compared to 11% in Eufaula.
- In Eufaula, the percentage of American Indian residents is higher at 13%, compared to 0% in Dickinson.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Dickinson | Eufaula |
---|---|---|
Mental Health Not Good | 17.2% | 21.4% |
Physical Health Not Good | 12.3% | 16.1% |
Depression | 22.7% | 26.7% |
Smoking | 17.2% | 26.9% |
Binge Drinking | 17.6% | 13.1% |
Obesity | 36.5% | 45.3% |
Disability Percentage | 11.0% | 24.0% |
Health Statistics Comparison: Dickinson vs Eufaula
- In Eufaula, a higher percentage report poor mental health at 21.4% compared to 17.2% in Dickinson.
- Higher depression rates are seen in Eufaula at 26.7% versus 22.7% in Dickinson.
- Eufaula has a higher smoking rate at 26.9% compared to 17.2% in Dickinson.
- Binge drinking is more common in Dickinson at 17.6% compared to 13.1% in Eufaula.
- Eufaula has higher obesity rates at 45.3% compared to 36.5% in Dickinson.
- There is a higher percentage of disabled individuals in Eufaula at 24.0% compared to 11.0% in Dickinson.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Dickinson | Eufaula |
---|---|---|
No Schooling | 1.9% (403) | 0.0% (1) |
High School Diploma | 12.0% (2,607) | 21.7% (608) |
Less than High School | 18.9% (4,116) | 22.1% (620) |
Bachelor's Degree and Higher | 15.8% (3,445) | 7.6% (213) |
Education Levels Comparison: Dickinson vs Eufaula
- A higher percentage of residents in Dickinson have no formal schooling at 1.9% compared to 0.0% in Eufaula.
- In Eufaula, the rate of residents with high school diplomas is higher at 21.7% compared to 12.0% in Dickinson.
- The percentage of residents with less than a high school education is higher in Eufaula at 22.1%, compared to 18.9% in Dickinson.
- A higher percentage of residents in Dickinson hold a bachelor's degree or higher at 15.8% compared to 7.6% in Eufaula.
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.