Demographics details for Tallulah, LA vs Waterbury, CT
Population Overview
Compare main population characteristics in Tallulah, LA vs Waterbury, CT.
| Data | Tallulah | Waterbury |
|---|---|---|
| Population | 5,946 | 115,016 |
| Median Age | 35.1 years | 36.7 years |
| Median Income | $31,070 | $51,451 |
| Married Families | 21.0% | 28.0% |
| Poverty Level | 25% | 13% |
| Unemployment Rate | 5.0 | 4.5 |
Population Comparison: Tallulah vs Waterbury
- The population in Waterbury is higher at 115,016, compared to 5,946 in Tallulah.
- The median age in Waterbury is higher at 36.7 years, compared to 35.1 years in Tallulah.
- Waterbury has a higher median income of $51,451, compared to $31,070 in Tallulah.
- In Waterbury, the percentage of married families is higher at 28.0%, compared to 21.0% in Tallulah.
- Tallulah has a higher poverty level at 25% compared to 13% in Waterbury.
- The unemployment rate in Tallulah is higher at 5.0%, compared to 4.5% in Waterbury.
Demographics
Demographics Tallulah vs Waterbury provide insight into the diversity of the communities to compare.
| Demographic | Tallulah | Waterbury |
|---|---|---|
| Black | 86 | 28 |
| White | 11 | 22 |
| Asian | Data is updating | 3 |
| Hispanic | 1 | 36 |
| Two or More Races | 2 | 11 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Tallulah vs Waterbury
- A higher percentage of Black residents are in Tallulah at 86% compared to 28% in Waterbury.
- The percentage of White residents is higher in Waterbury at 22% compared to 11% in Tallulah.
- In Waterbury, the Asian population stands at 3%, greater than 0% in Tallulah.
- Waterbury has a higher percentage of Hispanic residents at 36%, compared to 1% in Tallulah.
- The percentage of residents identifying as two or more races is higher in Waterbury at 11%, compared to 2% in Tallulah.
- The percentage of American Indian residents is the same in both Tallulah and Waterbury at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Tallulah | Waterbury |
|---|---|---|
| Mental Health Not Good | 24.5% | 17.3% |
| Physical Health Not Good | 19.5% | 13.3% |
| Depression | 26.5% | 22.0% |
| Smoking | 32.8% | 21.8% |
| Binge Drinking | 12.7% | 13.7% |
| Obesity | 49.5% | 37.1% |
| Disability Percentage | 20.0% | 16.0% |
Health Statistics Comparison: Tallulah vs Waterbury
- More residents in Tallulah report poor mental health at 24.5% compared to 17.3% in Waterbury.
- Depression is more prevalent in Tallulah at 26.5% compared to 22.0% in Waterbury.
- Smoking is more prevalent in Tallulah at 32.8% compared to 21.8% in Waterbury.
- More residents engage in binge drinking in Waterbury at 13.7% compared to 12.7% in Tallulah.
- Obesity rates are higher in Tallulah at 49.5% compared to 37.1% in Waterbury.
- Disability percentages are higher in Tallulah 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 | Tallulah | Waterbury |
|---|---|---|
| No Schooling | 1.4% (84) | 1.9% (2,221) |
| High School Diploma | 18.8% (1,115) | 21.4% (24,629) |
| Less than High School | 15.4% (916) | 20.7% (23,816) |
| Bachelor's Degree and Higher | 9.3% (555) | 11.1% (12,745) |
Education Levels Comparison: Tallulah vs Waterbury
- In Waterbury, a larger percentage of residents lack formal schooling at 1.9% compared to 1.4% in Tallulah.
- In Waterbury, the rate of residents with high school diplomas is higher at 21.4% compared to 18.8% in Tallulah.
- The percentage of residents with less than a high school education is higher in Waterbury at 20.7%, compared to 15.4% in Tallulah.
- In Waterbury, a larger share of residents have a bachelor's degree or higher at 11.1% compared to 9.3% in Tallulah.
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.