Demographics details for Wheeler, TX vs East waterford, PA
Population Overview
Compare main population characteristics in Wheeler, TX vs East waterford, PA.
Data | Wheeler | East waterford |
---|---|---|
Population | 4,807 | 145 |
Median Age | 40.0 years | 61.4 years |
Median Income | $58,158 | $56,667 |
Married Families | 49.0% | 66.0% |
Poverty Level | 14% | 5% |
Unemployment Rate | 4.1 | 3.2 |
Population Comparison: Wheeler vs East waterford
- In Wheeler, the population is higher at 4,807, compared to 145 in East waterford.
- The median age in East waterford is higher at 61.4 years, compared to 40.0 years in Wheeler.
- Wheeler has a higher median income of $58,158 compared to $56,667 in East waterford.
- In East waterford, the percentage of married families is higher at 66.0%, compared to 49.0% in Wheeler.
- Wheeler has a higher poverty level at 14% compared to 5% in East waterford.
- The unemployment rate in Wheeler is higher at 4.1%, compared to 3.2% in East waterford.
Demographics
Demographics Wheeler vs East waterford provide insight into the diversity of the communities to compare.
Demographic | Wheeler | East waterford |
---|---|---|
Black | 3 | Data is updating |
White | 63 | 100 |
Asian | Data is updating | Data is updating |
Hispanic | 26 | Data is updating |
Two or More Races | 8 | Data is updating |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Wheeler vs East waterford
- A higher percentage of Black residents are in Wheeler at 3% compared to 0% in East waterford.
- The percentage of White residents is higher in East waterford at 100% compared to 63% in Wheeler.
- Both Wheeler and East waterford have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Wheeler at 26% compared to 0% in East waterford.
- More residents identify as two or more races in Wheeler at 8% compared to 0% in East waterford.
- The percentage of American Indian residents is the same in both Wheeler and East waterford at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Wheeler | East waterford |
---|---|---|
Mental Health Not Good | 18.9% | 19.4% |
Physical Health Not Good | 13.6% | 14.2% |
Depression | 24.8% | 25.6% |
Smoking | 20.3% | 25.8% |
Binge Drinking | 17.8% | 17.7% |
Obesity | 39.0% | 38.9% |
Disability Percentage | 16.0% | 12.0% |
Health Statistics Comparison: Wheeler vs East waterford
- In East waterford, a higher percentage report poor mental health at 19.4% compared to 18.9% in Wheeler.
- Higher depression rates are seen in East waterford at 25.6% versus 24.8% in Wheeler.
- East waterford has a higher smoking rate at 25.8% compared to 20.3% in Wheeler.
- Binge drinking is more common in Wheeler at 17.8% compared to 17.7% in East waterford.
- Obesity rates are higher in Wheeler at 39.0% compared to 38.9% in East waterford.
- Disability percentages are higher in Wheeler at 16.0% compared to 12.0% in East waterford.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Wheeler | East waterford |
---|---|---|
No Schooling | 1.2% (59) | 0.0% (Data is updating) |
High School Diploma | 23.7% (1,141) | 47.6% (69) |
Less than High School | 19.7% (948) | 2.8% (4) |
Bachelor's Degree and Higher | 12.4% (596) | 18.6% (27) |
Education Levels Comparison: Wheeler vs East waterford
- A higher percentage of residents in Wheeler have no formal schooling at 1.2% compared to 0.0% in East waterford.
- In East waterford, the rate of residents with high school diplomas is higher at 47.6% compared to 23.7% in Wheeler.
- More residents in Wheeler have less than a high school education at 19.7% compared to 2.8% in East waterford.
- In East waterford, a larger share of residents have a bachelor's degree or higher at 18.6% compared to 12.4% in Wheeler.
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.