Demographics details for Watertown, SD vs Central point, OR
Population Overview
Compare main population characteristics in Watertown, SD vs Central point, OR.
Data | Watertown | Central point |
---|---|---|
Population | 23,019 | 19,222 |
Median Age | 38.9 years | 40.3 years |
Median Income | $61,320 | $79,731 |
Married Families | 40.0% | 45.0% |
Poverty Level | 10% | 10% |
Unemployment Rate | 3.5 | 4.5 |
Population Comparison: Watertown vs Central point
- In Watertown, the population is higher at 23,019, compared to 19,222 in Central point.
- The median age in Central point is higher at 40.3 years, compared to 38.9 years in Watertown.
- Central point has a higher median income of $79,731, compared to $61,320 in Watertown.
- In Central point, the percentage of married families is higher at 45.0%, compared to 40.0% in Watertown.
- The poverty level is identical in both Watertown and Central point at 10%.
- Central point has a higher unemployment rate at 4.5% compared to 3.5% in Watertown.
Demographics
Demographics Watertown vs Central point provide insight into the diversity of the communities to compare.
Demographic | Watertown | Central point |
---|---|---|
Black | 1 | Data is updating |
White | 87 | 76 |
Asian | 1 | 1 |
Hispanic | 4 | 15 |
Two or More Races | 4 | 7 |
American Indian | 3 | 1 |
Demographics Comparison: Watertown vs Central point
- A higher percentage of Black residents are in Watertown at 1% compared to 0% in Central point.
- Watertown has a higher percentage of White residents at 87% compared to 76% in Central point.
- Both Watertown and Central point have the same percentage of Asian residents at 1%.
- Central point has a higher percentage of Hispanic residents at 15%, compared to 4% in Watertown.
- The percentage of residents identifying as two or more races is higher in Central point at 7%, compared to 4% in Watertown.
- A greater percentage of American Indian residents live in Watertown at 3% compared to 1% in Central point.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Watertown | Central point |
---|---|---|
Mental Health Not Good | 13.4% | 19.4% |
Physical Health Not Good | 9.4% | 12.0% |
Depression | 20.1% | 29.4% |
Smoking | 18.3% | 16.7% |
Binge Drinking | 20.1% | 16.5% |
Obesity | 37.2% | 30.1% |
Disability Percentage | 13.0% | 11.0% |
Health Statistics Comparison: Watertown vs Central point
- In Central point, a higher percentage report poor mental health at 19.4% compared to 13.4% in Watertown.
- Higher depression rates are seen in Central point at 29.4% versus 20.1% in Watertown.
- Smoking is more prevalent in Watertown at 18.3% compared to 16.7% in Central point.
- Binge drinking is more common in Watertown at 20.1% compared to 16.5% in Central point.
- Obesity rates are higher in Watertown at 37.2% compared to 30.1% in Central point.
- Disability percentages are higher in Watertown at 13.0% compared to 11.0% in Central point.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Watertown | Central point |
---|---|---|
No Schooling | 1.6% (364) | 1.7% (319) |
High School Diploma | 23.1% (5,313) | 16.1% (3,095) |
Less than High School | 11.9% (2,738) | 13.2% (2,530) |
Bachelor's Degree and Higher | 13.7% (3,162) | 15.6% (3,003) |
Education Levels Comparison: Watertown vs Central point
- In Central point, a larger percentage of residents lack formal schooling at 1.7% compared to 1.6% in Watertown.
- A higher percentage of residents in Watertown hold a high school diploma at 23.1% compared to 16.1% in Central point.
- The percentage of residents with less than a high school education is higher in Central point at 13.2%, compared to 11.9% in Watertown.
- In Central point, a larger share of residents have a bachelor's degree or higher at 15.6% compared to 13.7% in Watertown.
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.