Demographics details for Watertown, SD vs Hackberry, LA
Population Overview
Compare main population characteristics in Watertown, SD vs Hackberry, LA.
Data | Watertown | Hackberry |
---|---|---|
Population | 23,019 | 988 |
Median Age | 38.9 years | 52.2 years |
Median Income | $61,320 | $98,056 |
Married Families | 40.0% | 64.0% |
Poverty Level | 10% | 15% |
Unemployment Rate | 3.5 | 5.0 |
Population Comparison: Watertown vs Hackberry
- In Watertown, the population is higher at 23,019, compared to 988 in Hackberry.
- The median age in Hackberry is higher at 52.2 years, compared to 38.9 years in Watertown.
- Hackberry has a higher median income of $98,056, compared to $61,320 in Watertown.
- In Hackberry, the percentage of married families is higher at 64.0%, compared to 40.0% in Watertown.
- The poverty level is higher in Hackberry at 15%, compared to 10% in Watertown.
- Hackberry has a higher unemployment rate at 5.0% compared to 3.5% in Watertown.
Demographics
Demographics Watertown vs Hackberry provide insight into the diversity of the communities to compare.
Demographic | Watertown | Hackberry |
---|---|---|
Black | 1 | Data is updating |
White | 87 | 100 |
Asian | 1 | Data is updating |
Hispanic | 4 | Data is updating |
Two or More Races | 4 | Data is updating |
American Indian | 3 | Data is updating |
Demographics Comparison: Watertown vs Hackberry
- A higher percentage of Black residents are in Watertown at 1% compared to 0% in Hackberry.
- The percentage of White residents is higher in Hackberry at 100% compared to 87% in Watertown.
- The Asian population is larger in Watertown at 1% compared to 0% in Hackberry.
- The Hispanic community is larger in Watertown at 4% compared to 0% in Hackberry.
- More residents identify as two or more races in Watertown at 4% compared to 0% in Hackberry.
- A greater percentage of American Indian residents live in Watertown at 3% compared to 0% in Hackberry.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Watertown | Hackberry |
---|---|---|
Mental Health Not Good | 13.4% | 20.3% |
Physical Health Not Good | 9.4% | 13.7% |
Depression | 20.1% | 29.8% |
Smoking | 18.3% | 23.3% |
Binge Drinking | 20.1% | 19.9% |
Obesity | 37.2% | 37.1% |
Disability Percentage | 13.0% | 11.0% |
Health Statistics Comparison: Watertown vs Hackberry
- In Hackberry, a higher percentage report poor mental health at 20.3% compared to 13.4% in Watertown.
- Higher depression rates are seen in Hackberry at 29.8% versus 20.1% in Watertown.
- Hackberry has a higher smoking rate at 23.3% compared to 18.3% in Watertown.
- Binge drinking is more common in Watertown at 20.1% compared to 19.9% in Hackberry.
- Obesity rates are higher in Watertown at 37.2% compared to 37.1% in Hackberry.
- Disability percentages are higher in Watertown at 13.0% compared to 11.0% in Hackberry.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Watertown | Hackberry |
---|---|---|
No Schooling | 1.6% (364) | 0.5% (5) |
High School Diploma | 23.1% (5,313) | 21.8% (215) |
Less than High School | 11.9% (2,738) | 13.6% (134) |
Bachelor's Degree and Higher | 13.7% (3,162) | 11.7% (116) |
Education Levels Comparison: Watertown vs Hackberry
- A higher percentage of residents in Watertown have no formal schooling at 1.6% compared to 0.5% in Hackberry.
- A higher percentage of residents in Watertown hold a high school diploma at 23.1% compared to 21.8% in Hackberry.
- The percentage of residents with less than a high school education is higher in Hackberry at 13.6%, compared to 11.9% in Watertown.
- A higher percentage of residents in Watertown hold a bachelor's degree or higher at 13.7% compared to 11.7% in Hackberry.
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.