Demographics details for Waverly, TN vs Hope mills, NC
Population Overview
Compare main population characteristics in Waverly, TN vs Hope mills, NC.
Data | Waverly | Hope mills |
---|---|---|
Population | 4,297 | 17,824 |
Median Age | 46.7 years | 32.5 years |
Median Income | $43,750 | $57,864 |
Married Families | 35.0% | 34.0% |
Poverty Level | 12% | 10% |
Unemployment Rate | 4.5 | 4.2 |
Population Comparison: Waverly vs Hope mills
- The population in Hope mills is higher at 17,824, compared to 4,297 in Waverly.
- Residents in Waverly have a higher median age of 46.7 years compared to 32.5 years in Hope mills.
- Hope mills has a higher median income of $57,864, compared to $43,750 in Waverly.
- A higher percentage of married families is found in Waverly at 35.0% compared to 34.0% in Hope mills.
- Waverly has a higher poverty level at 12% compared to 10% in Hope mills.
- The unemployment rate in Waverly is higher at 4.5%, compared to 4.2% in Hope mills.
Demographics
Demographics Waverly vs Hope mills provide insight into the diversity of the communities to compare.
Demographic | Waverly | Hope mills |
---|---|---|
Black | 2 | 34 |
White | 91 | 35 |
Asian | Data is updating | 1 |
Hispanic | 2 | 15 |
Two or More Races | 5 | 13 |
American Indian | Data is updating | 2 |
Demographics Comparison: Waverly vs Hope mills
- In Hope mills, the percentage of Black residents is higher at 34% compared to 2% in Waverly.
- Waverly has a higher percentage of White residents at 91% compared to 35% in Hope mills.
- In Hope mills, the Asian population stands at 1%, greater than 0% in Waverly.
- Hope mills has a higher percentage of Hispanic residents at 15%, compared to 2% in Waverly.
- The percentage of residents identifying as two or more races is higher in Hope mills at 13%, compared to 5% in Waverly.
- In Hope mills, the percentage of American Indian residents is higher at 2%, compared to 0% in Waverly.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Waverly | Hope mills |
---|---|---|
Mental Health Not Good | 19.9% | 17.6% |
Physical Health Not Good | 13.9% | 11.9% |
Depression | 28.8% | 25.9% |
Smoking | 23.6% | 17.5% |
Binge Drinking | 15.6% | 17.6% |
Obesity | 37.8% | 38.5% |
Disability Percentage | 19.0% | 16.0% |
Health Statistics Comparison: Waverly vs Hope mills
- More residents in Waverly report poor mental health at 19.9% compared to 17.6% in Hope mills.
- Depression is more prevalent in Waverly at 28.8% compared to 25.9% in Hope mills.
- Smoking is more prevalent in Waverly at 23.6% compared to 17.5% in Hope mills.
- More residents engage in binge drinking in Hope mills at 17.6% compared to 15.6% in Waverly.
- Hope mills has higher obesity rates at 38.5% compared to 37.8% in Waverly.
- Disability percentages are higher in Waverly at 19.0% compared to 16.0% in Hope mills.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Waverly | Hope mills |
---|---|---|
No Schooling | 1.0% (41) | 0.4% (68) |
High School Diploma | 18.4% (792) | 14.7% (2,614) |
Less than High School | 21.9% (943) | 6.9% (1,237) |
Bachelor's Degree and Higher | 16.5% (709) | 13.7% (2,437) |
Education Levels Comparison: Waverly vs Hope mills
- A higher percentage of residents in Waverly have no formal schooling at 1.0% compared to 0.4% in Hope mills.
- A higher percentage of residents in Waverly hold a high school diploma at 18.4% compared to 14.7% in Hope mills.
- More residents in Waverly have less than a high school education at 21.9% compared to 6.9% in Hope mills.
- A higher percentage of residents in Waverly hold a bachelor's degree or higher at 16.5% compared to 13.7% in Hope mills.
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.