Demographics details for Dike, TX vs Swansea, MA
Population Overview
Compare main population characteristics in Dike, TX vs Swansea, MA.
| Data | Dike | Swansea |
|---|---|---|
| Population | 103 | 16,705 |
| Median Age | 44.0 years | 42.0 years |
| Median Income | $50,000 | $71,000 |
| Married Families | 20.0% | 60.0% |
| Poverty Level | 15% | 7% |
| Unemployment Rate | 4.0 | 3.4 |
Population Comparison: Dike vs Swansea
- The population in Swansea is higher at 16,705, compared to 103 in Dike.
- Residents in Dike have a higher median age of 44.0 years compared to 42.0 years in Swansea.
- Swansea has a higher median income of $71,000, compared to $50,000 in Dike.
- In Swansea, the percentage of married families is higher at 60.0%, compared to 20.0% in Dike.
- Dike has a higher poverty level at 15% compared to 7% in Swansea.
- The unemployment rate in Dike is higher at 4.0%, compared to 3.4% in Swansea.
Demographics
Demographics Dike vs Swansea provide insight into the diversity of the communities to compare.
| Demographic | Dike | Swansea |
|---|---|---|
| Black | Data is updating | 2 |
| White | 100 | 90 |
| Asian | Data is updating | 1 |
| Hispanic | Data is updating | 5 |
| Two or More Races | Data is updating | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Dike vs Swansea
- In Swansea, the percentage of Black residents is higher at 2% compared to 0% in Dike.
- Dike has a higher percentage of White residents at 100% compared to 90% in Swansea.
- In Swansea, the Asian population stands at 1%, greater than 0% in Dike.
- Swansea has a higher percentage of Hispanic residents at 5%, compared to 0% in Dike.
- The percentage of residents identifying as two or more races is higher in Swansea at 2%, compared to 0% in Dike.
- The percentage of American Indian residents is the same in both Dike and Swansea at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Dike | Swansea |
|---|---|---|
| Mental Health Not Good | Data is updating% | Data is updating% |
| Physical Health Not Good | Data is updating% | Data is updating% |
| Depression | Data is updating% | Data is updating% |
| Smoking | Data is updating% | Data is updating% |
| Binge Drinking | Data is updating% | Data is updating% |
| Obesity | Data is updating% | Data is updating% |
| Disability Percentage | Data is updating% | Data is updating% |
Health Statistics Comparison: Dike vs Swansea
- Poor mental health levels are equal in both Dike and Swansea at 0.0%.
- Both cities have comparable depression rates at 0.0%.
- Smoking rates are the same in both Dike and Swansea at 0.0%.
- Binge drinking rates are similar in both Dike and Swansea at 0.0%.
- Both cities have the same obesity rates at 0.0%.
- Disability percentages are the same in both Dike and Swansea at 0.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Dike | Swansea |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
| High School Diploma | 0.0% (Data is updating) | 0.0% (Data is updating) |
| Less than High School | 0.0% (Data is updating) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 0.0% (Data is updating) |
Education Levels Comparison: Dike vs Swansea
- The percentage of residents with no formal schooling is the same in both Dike and Swansea at 0.0%.
- Both cities have the same percentage of residents with high school diplomas at 0.0%.
- Both cities report the same percentage of residents with less than a high school education at 0.0%.
- The percentage of residents with a bachelor's degree or higher is identical in both Dike and Swansea at 0.0%.
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.