Demographics details for Waterbury, CT vs Sikeston, MO
Population Overview
Compare main population characteristics in Waterbury, CT vs Sikeston, MO.
| Data | Waterbury | Sikeston |
|---|---|---|
| Population | 115,016 | 16,073 |
| Median Age | 36.7 years | 37.3 years |
| Median Income | $51,451 | $47,464 |
| Married Families | 28.0% | 36.0% |
| Poverty Level | 13% | 16% |
| Unemployment Rate | 4.5 | 3.4 |
Population Comparison: Waterbury vs Sikeston
- In Waterbury, the population is higher at 115,016, compared to 16,073 in Sikeston.
- The median age in Sikeston is higher at 37.3 years, compared to 36.7 years in Waterbury.
- Waterbury has a higher median income of $51,451 compared to $47,464 in Sikeston.
- In Sikeston, the percentage of married families is higher at 36.0%, compared to 28.0% in Waterbury.
- The poverty level is higher in Sikeston at 16%, compared to 13% in Waterbury.
- The unemployment rate in Waterbury is higher at 4.5%, compared to 3.4% in Sikeston.
Demographics
Demographics Waterbury vs Sikeston provide insight into the diversity of the communities to compare.
| Demographic | Waterbury | Sikeston |
|---|---|---|
| Black | 28 | 25 |
| White | 22 | 65 |
| Asian | 3 | Data is updating |
| Hispanic | 36 | 3 |
| Two or More Races | 11 | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Waterbury vs Sikeston
- A higher percentage of Black residents are in Waterbury at 28% compared to 25% in Sikeston.
- The percentage of White residents is higher in Sikeston at 65% compared to 22% in Waterbury.
- The Asian population is larger in Waterbury at 3% compared to 0% in Sikeston.
- The Hispanic community is larger in Waterbury at 36% compared to 3% in Sikeston.
- More residents identify as two or more races in Waterbury at 11% compared to 7% in Sikeston.
- The percentage of American Indian residents is the same in both Waterbury and Sikeston at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Waterbury | Sikeston |
|---|---|---|
| Mental Health Not Good | 17.3% | 19.8% |
| Physical Health Not Good | 13.3% | 14.7% |
| Depression | 22.0% | 24.6% |
| Smoking | 21.8% | 23.9% |
| Binge Drinking | 13.7% | 15.8% |
| Obesity | 37.1% | 39.0% |
| Disability Percentage | 16.0% | 20.0% |
Health Statistics Comparison: Waterbury vs Sikeston
- In Sikeston, a higher percentage report poor mental health at 19.8% compared to 17.3% in Waterbury.
- Higher depression rates are seen in Sikeston at 24.6% versus 22.0% in Waterbury.
- Sikeston has a higher smoking rate at 23.9% compared to 21.8% in Waterbury.
- More residents engage in binge drinking in Sikeston at 15.8% compared to 13.7% in Waterbury.
- Sikeston has higher obesity rates at 39.0% compared to 37.1% in Waterbury.
- There is a higher percentage of disabled individuals in Sikeston at 20.0% compared to 16.0% in Waterbury.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Waterbury | Sikeston |
|---|---|---|
| No Schooling | 1.9% (2,221) | 0.5% (76) |
| High School Diploma | 21.4% (24,629) | 23.0% (3,696) |
| Less than High School | 20.7% (23,816) | 13.3% (2,142) |
| Bachelor's Degree and Higher | 11.1% (12,745) | 16.3% (2,619) |
Education Levels Comparison: Waterbury vs Sikeston
- A higher percentage of residents in Waterbury have no formal schooling at 1.9% compared to 0.5% in Sikeston.
- In Sikeston, the rate of residents with high school diplomas is higher at 23.0% compared to 21.4% in Waterbury.
- More residents in Waterbury have less than a high school education at 20.7% compared to 13.3% in Sikeston.
- In Sikeston, a larger share of residents have a bachelor's degree or higher at 16.3% compared to 11.1% in Waterbury.
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.