Demographics details for Dighton, MA vs Cullman, AL
Population Overview
Compare main population characteristics in Dighton, MA vs Cullman, AL.
| Data | Dighton | Cullman |
|---|---|---|
| Population | 7,891 | 19,251 |
| Median Age | 42.0 years | 42.0 years |
| Median Income | $77,750 | $59,982 |
| Married Families | 64.0% | 39.0% |
| Poverty Level | 5% | 12% |
| Unemployment Rate | 3.5 | 4.3 |
Population Comparison: Dighton vs Cullman
- The population in Cullman is higher at 19,251, compared to 7,891 in Dighton.
- The median age is the same in both Dighton and Cullman at 42.0 years.
- Dighton has a higher median income of $77,750 compared to $59,982 in Cullman.
- A higher percentage of married families is found in Dighton at 64.0% compared to 39.0% in Cullman.
- The poverty level is higher in Cullman at 12%, compared to 5% in Dighton.
- Cullman has a higher unemployment rate at 4.3% compared to 3.5% in Dighton.
Demographics
Demographics Dighton vs Cullman provide insight into the diversity of the communities to compare.
| Demographic | Dighton | Cullman |
|---|---|---|
| Black | Data is updating | 1 |
| White | 96 | 92 |
| Asian | 1 | 1 |
| Hispanic | 2 | 2 |
| Two or More Races | 1 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Dighton vs Cullman
- In Cullman, the percentage of Black residents is higher at 1% compared to 0% in Dighton.
- Dighton has a higher percentage of White residents at 96% compared to 92% in Cullman.
- Both Dighton and Cullman have the same percentage of Asian residents at 1%.
- The percentage of Hispanic residents is the same in both Dighton and Cullman at 2%.
- The percentage of residents identifying as two or more races is higher in Cullman at 4%, compared to 1% in Dighton.
- The percentage of American Indian residents is the same in both Dighton and Cullman at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Dighton | Cullman |
|---|---|---|
| Mental Health Not Good | Data is updating% | 18.5% |
| Physical Health Not Good | Data is updating% | 12.6% |
| Depression | Data is updating% | 24.9% |
| Smoking | Data is updating% | 18.2% |
| Binge Drinking | Data is updating% | 16.4% |
| Obesity | Data is updating% | 37.5% |
| Disability Percentage | Data is updating% | 14.0% |
Health Statistics Comparison: Dighton vs Cullman
- In Cullman, a higher percentage report poor mental health at 18.5% compared to 0.0% in Dighton.
- Higher depression rates are seen in Cullman at 24.9% versus 0.0% in Dighton.
- Cullman has a higher smoking rate at 18.2% compared to 0.0% in Dighton.
- More residents engage in binge drinking in Cullman at 16.4% compared to 0.0% in Dighton.
- Cullman has higher obesity rates at 37.5% compared to 0.0% in Dighton.
- There is a higher percentage of disabled individuals in Cullman at 14.0% compared to 0.0% in Dighton.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Dighton | Cullman |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.7% (130) |
| High School Diploma | 0.0% (Data is updating) | 13.6% (2,614) |
| Less than High School | 0.0% (Data is updating) | 13.0% (2,512) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 22.1% (4,253) |
Education Levels Comparison: Dighton vs Cullman
- In Cullman, a larger percentage of residents lack formal schooling at 0.7% compared to 0.0% in Dighton.
- In Cullman, the rate of residents with high school diplomas is higher at 13.6% compared to 0.0% in Dighton.
- The percentage of residents with less than a high school education is higher in Cullman at 13.0%, compared to 0.0% in Dighton.
- In Cullman, a larger share of residents have a bachelor's degree or higher at 22.1% compared to 0.0% in Dighton.
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.