Demographics details for Malad city, ID vs Waverly, TN
Population Overview
Compare main population characteristics in Malad city, ID vs Waverly, TN.
| Data | Malad city | Waverly |
|---|---|---|
| Population | 2,273 | 4,297 |
| Median Age | 39.8 years | 46.7 years |
| Median Income | $68,594 | $43,750 |
| Married Families | 47.0% | 35.0% |
| Poverty Level | Data is updating | 12% |
| Unemployment Rate | 3.6 | 4.5 |
Population Comparison: Malad city vs Waverly
- The population in Waverly is higher at 4,297, compared to 2,273 in Malad city.
- The median age in Waverly is higher at 46.7 years, compared to 39.8 years in Malad city.
- Malad city has a higher median income of $68,594 compared to $43,750 in Waverly.
- A higher percentage of married families is found in Malad city at 47.0% compared to 35.0% in Waverly.
- The poverty level is higher in Waverly at 12%, compared to 0% in Malad city.
- Waverly has a higher unemployment rate at 4.5% compared to 3.6% in Malad city.
Demographics
Demographics Malad city vs Waverly provide insight into the diversity of the communities to compare.
| Demographic | Malad city | Waverly |
|---|---|---|
| Black | Data is updating | 2 |
| White | 97 | 91 |
| Asian | Data is updating | Data is updating |
| Hispanic | 2 | 2 |
| Two or More Races | Data is updating | 5 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Malad city vs Waverly
- In Waverly, the percentage of Black residents is higher at 2% compared to 0% in Malad city.
- Malad city has a higher percentage of White residents at 97% compared to 91% in Waverly.
- Both Malad city and Waverly have the same percentage of Asian residents at 0%.
- The percentage of Hispanic residents is the same in both Malad city and Waverly at 2%.
- The percentage of residents identifying as two or more races is higher in Waverly at 5%, compared to 0% in Malad city.
- A greater percentage of American Indian residents live in Malad city at 1% compared to 0% in Waverly.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Malad city | Waverly |
|---|---|---|
| Mental Health Not Good | 16.3% | 19.9% |
| Physical Health Not Good | 11.4% | 13.9% |
| Depression | 22.9% | 28.8% |
| Smoking | 16.7% | 23.6% |
| Binge Drinking | 16.8% | 15.6% |
| Obesity | 32.0% | 37.8% |
| Disability Percentage | 15.0% | 19.0% |
Health Statistics Comparison: Malad city vs Waverly
- In Waverly, a higher percentage report poor mental health at 19.9% compared to 16.3% in Malad city.
- Higher depression rates are seen in Waverly at 28.8% versus 22.9% in Malad city.
- Waverly has a higher smoking rate at 23.6% compared to 16.7% in Malad city.
- Binge drinking is more common in Malad city at 16.8% compared to 15.6% in Waverly.
- Waverly has higher obesity rates at 37.8% compared to 32.0% in Malad city.
- There is a higher percentage of disabled individuals in Waverly at 19.0% compared to 15.0% in Malad city.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Malad city | Waverly |
|---|---|---|
| No Schooling | 0.4% (9) | 1.0% (41) |
| High School Diploma | 19.5% (443) | 18.4% (792) |
| Less than High School | 8.6% (196) | 21.9% (943) |
| Bachelor's Degree and Higher | 14.4% (327) | 16.5% (709) |
Education Levels Comparison: Malad city vs Waverly
- In Waverly, a larger percentage of residents lack formal schooling at 1.0% compared to 0.4% in Malad city.
- A higher percentage of residents in Malad city hold a high school diploma at 19.5% compared to 18.4% in Waverly.
- The percentage of residents with less than a high school education is higher in Waverly at 21.9%, compared to 8.6% in Malad city.
- In Waverly, a larger share of residents have a bachelor's degree or higher at 16.5% compared to 14.4% in Malad city.
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.