Demographics details for Waterbury, CT vs Keiser, AR
Population Overview
Compare main population characteristics in Waterbury, CT vs Keiser, AR.
| Data | Waterbury | Keiser |
|---|---|---|
| Population | 115,016 | 713 |
| Median Age | 36.7 years | 41.6 years |
| Median Income | $51,451 | $50,136 |
| Married Families | 28.0% | 35.0% |
| Poverty Level | 13% | 12% |
| Unemployment Rate | 4.5 | 3.5 |
Population Comparison: Waterbury vs Keiser
- In Waterbury, the population is higher at 115,016, compared to 713 in Keiser.
- The median age in Keiser is higher at 41.6 years, compared to 36.7 years in Waterbury.
- Waterbury has a higher median income of $51,451 compared to $50,136 in Keiser.
- In Keiser, the percentage of married families is higher at 35.0%, compared to 28.0% in Waterbury.
- Waterbury has a higher poverty level at 13% compared to 12% in Keiser.
- The unemployment rate in Waterbury is higher at 4.5%, compared to 3.5% in Keiser.
Demographics
Demographics Waterbury vs Keiser provide insight into the diversity of the communities to compare.
| Demographic | Waterbury | Keiser |
|---|---|---|
| Black | 28 | 4 |
| White | 22 | 83 |
| Asian | 3 | Data is updating |
| Hispanic | 36 | 1 |
| Two or More Races | 11 | 12 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Waterbury vs Keiser
- A higher percentage of Black residents are in Waterbury at 28% compared to 4% in Keiser.
- The percentage of White residents is higher in Keiser at 83% compared to 22% in Waterbury.
- The Asian population is larger in Waterbury at 3% compared to 0% in Keiser.
- The Hispanic community is larger in Waterbury at 36% compared to 1% in Keiser.
- The percentage of residents identifying as two or more races is higher in Keiser at 12%, compared to 11% in Waterbury.
- The percentage of American Indian residents is the same in both Waterbury and Keiser at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Waterbury | Keiser |
|---|---|---|
| Mental Health Not Good | 17.3% | 20.3% |
| Physical Health Not Good | 13.3% | 14.6% |
| Depression | 22.0% | 28.9% |
| Smoking | 21.8% | 24.9% |
| Binge Drinking | 13.7% | 15.2% |
| Obesity | 37.1% | 34.9% |
| Disability Percentage | 16.0% | 27.0% |
Health Statistics Comparison: Waterbury vs Keiser
- In Keiser, a higher percentage report poor mental health at 20.3% compared to 17.3% in Waterbury.
- Higher depression rates are seen in Keiser at 28.9% versus 22.0% in Waterbury.
- Keiser has a higher smoking rate at 24.9% compared to 21.8% in Waterbury.
- More residents engage in binge drinking in Keiser at 15.2% compared to 13.7% in Waterbury.
- Obesity rates are higher in Waterbury at 37.1% compared to 34.9% in Keiser.
- There is a higher percentage of disabled individuals in Keiser at 27.0% 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 | Keiser |
|---|---|---|
| No Schooling | 1.9% (2,221) | 6.2% (44) |
| High School Diploma | 21.4% (24,629) | 15.0% (107) |
| Less than High School | 20.7% (23,816) | 55.5% (396) |
| Bachelor's Degree and Higher | 11.1% (12,745) | 7.3% (52) |
Education Levels Comparison: Waterbury vs Keiser
- In Keiser, a larger percentage of residents lack formal schooling at 6.2% compared to 1.9% in Waterbury.
- A higher percentage of residents in Waterbury hold a high school diploma at 21.4% compared to 15.0% in Keiser.
- The percentage of residents with less than a high school education is higher in Keiser at 55.5%, compared to 20.7% in Waterbury.
- A higher percentage of residents in Waterbury hold a bachelor's degree or higher at 11.1% compared to 7.3% in Keiser.
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.