Demographics details for Water valley, MS vs Avella, PA
Population Overview
Compare main population characteristics in Water valley, MS vs Avella, PA.
Data | Water valley | Avella |
---|---|---|
Population | 3,361 | 798 |
Median Age | 35.8 years | 33.2 years |
Median Income | $45,718 | $61,806 |
Married Families | 27.0% | 28.0% |
Poverty Level | Data is updating | 10% |
Unemployment Rate | 4.3 | 4.5 |
Population Comparison: Water valley vs Avella
- In Water valley, the population is higher at 3,361, compared to 798 in Avella.
- Residents in Water valley have a higher median age of 35.8 years compared to 33.2 years in Avella.
- Avella has a higher median income of $61,806, compared to $45,718 in Water valley.
- In Avella, the percentage of married families is higher at 28.0%, compared to 27.0% in Water valley.
- The poverty level is higher in Avella at 10%, compared to 0% in Water valley.
- Avella has a higher unemployment rate at 4.5% compared to 4.3% in Water valley.
Demographics
Demographics Water valley vs Avella provide insight into the diversity of the communities to compare.
Demographic | Water valley | Avella |
---|---|---|
Black | 49 | Data is updating |
White | 49 | 96 |
Asian | Data is updating | Data is updating |
Hispanic | 2 | Data is updating |
Two or More Races | Data is updating | 4 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Water valley vs Avella
- A higher percentage of Black residents are in Water valley at 49% compared to 0% in Avella.
- The percentage of White residents is higher in Avella at 96% compared to 49% in Water valley.
- Both Water valley and Avella have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Water valley at 2% compared to 0% in Avella.
- The percentage of residents identifying as two or more races is higher in Avella at 4%, compared to 0% in Water valley.
- The percentage of American Indian residents is the same in both Water valley and Avella at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Water valley | Avella |
---|---|---|
Mental Health Not Good | 18.2% | 16.5% |
Physical Health Not Good | 13.8% | 11.0% |
Depression | 22.0% | 22.2% |
Smoking | 23.1% | 19.0% |
Binge Drinking | 12.9% | 19.1% |
Obesity | 44.0% | 34.4% |
Disability Percentage | 14.0% | 27.0% |
Health Statistics Comparison: Water valley vs Avella
- More residents in Water valley report poor mental health at 18.2% compared to 16.5% in Avella.
- Higher depression rates are seen in Avella at 22.2% versus 22.0% in Water valley.
- Smoking is more prevalent in Water valley at 23.1% compared to 19.0% in Avella.
- More residents engage in binge drinking in Avella at 19.1% compared to 12.9% in Water valley.
- Obesity rates are higher in Water valley at 44.0% compared to 34.4% in Avella.
- There is a higher percentage of disabled individuals in Avella at 27.0% compared to 14.0% in Water valley.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Water valley | Avella |
---|---|---|
No Schooling | 1.0% (34) | 0.0% (Data is updating) |
High School Diploma | 24.0% (805) | 26.6% (212) |
Less than High School | 13.0% (437) | 17.3% (138) |
Bachelor's Degree and Higher | 9.6% (322) | 7.5% (60) |
Education Levels Comparison: Water valley vs Avella
- A higher percentage of residents in Water valley have no formal schooling at 1.0% compared to 0.0% in Avella.
- In Avella, the rate of residents with high school diplomas is higher at 26.6% compared to 24.0% in Water valley.
- The percentage of residents with less than a high school education is higher in Avella at 17.3%, compared to 13.0% in Water valley.
- A higher percentage of residents in Water valley hold a bachelor's degree or higher at 9.6% compared to 7.5% in Avella.
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.