Demographics details for Crum lynne, PA vs Tea, SD
Population Overview
Compare main population characteristics in Crum lynne, PA vs Tea, SD.
| Data | Crum lynne | Tea |
|---|---|---|
| Population | 735 | 6,918 |
| Median Age | 38.0 years | 30.2 years |
| Median Income | $60,000 | $99,153 |
| Married Families | 50.0% | 39.0% |
| Poverty Level | 12% | 6% |
| Unemployment Rate | 4.0 | 2.5 |
Population Comparison: Crum lynne vs Tea
- The population in Tea is higher at 6,918, compared to 735 in Crum lynne.
- Residents in Crum lynne have a higher median age of 38.0 years compared to 30.2 years in Tea.
- Tea has a higher median income of $99,153, compared to $60,000 in Crum lynne.
- A higher percentage of married families is found in Crum lynne at 50.0% compared to 39.0% in Tea.
- Crum lynne has a higher poverty level at 12% compared to 6% in Tea.
- The unemployment rate in Crum lynne is higher at 4.0%, compared to 2.5% in Tea.
Demographics
Demographics Crum lynne vs Tea provide insight into the diversity of the communities to compare.
| Demographic | Crum lynne | Tea |
|---|---|---|
| Black | 5 | 2 |
| White | 90 | 95 |
| Asian | 2 | 1 |
| Hispanic | 1 | Data is updating |
| Two or More Races | 2 | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Crum lynne vs Tea
- A higher percentage of Black residents are in Crum lynne at 5% compared to 2% in Tea.
- The percentage of White residents is higher in Tea at 95% compared to 90% in Crum lynne.
- The Asian population is larger in Crum lynne at 2% compared to 1% in Tea.
- The Hispanic community is larger in Crum lynne at 1% compared to 0% in Tea.
- Both Crum lynne and Tea have the same percentage of residents identifying as two or more races at 2%.
- The percentage of American Indian residents is the same in both Crum lynne and Tea at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Crum lynne | Tea |
|---|---|---|
| Mental Health Not Good | Data is updating% | 11.3% |
| Physical Health Not Good | Data is updating% | 7.7% |
| Depression | Data is updating% | 16.6% |
| Smoking | Data is updating% | 12.6% |
| Binge Drinking | Data is updating% | 21.6% |
| Obesity | Data is updating% | 34.5% |
| Disability Percentage | Data is updating% | 4.0% |
Health Statistics Comparison: Crum lynne vs Tea
- In Tea, a higher percentage report poor mental health at 11.3% compared to 0.0% in Crum lynne.
- Higher depression rates are seen in Tea at 16.6% versus 0.0% in Crum lynne.
- Tea has a higher smoking rate at 12.6% compared to 0.0% in Crum lynne.
- More residents engage in binge drinking in Tea at 21.6% compared to 0.0% in Crum lynne.
- Tea has higher obesity rates at 34.5% compared to 0.0% in Crum lynne.
- There is a higher percentage of disabled individuals in Tea at 4.0% compared to 0.0% in Crum lynne.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Crum lynne | Tea |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.1% (10) |
| High School Diploma | 0.0% (Data is updating) | 7.8% (537) |
| Less than High School | 0.0% (Data is updating) | 1.6% (108) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 19.9% (1,378) |
Education Levels Comparison: Crum lynne vs Tea
- In Tea, a larger percentage of residents lack formal schooling at 0.1% compared to 0.0% in Crum lynne.
- In Tea, the rate of residents with high school diplomas is higher at 7.8% compared to 0.0% in Crum lynne.
- The percentage of residents with less than a high school education is higher in Tea at 1.6%, compared to 0.0% in Crum lynne.
- In Tea, a larger share of residents have a bachelor's degree or higher at 19.9% compared to 0.0% in Crum lynne.
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.