Demographics details for Watertown, SD vs Pana, IL
Population Overview
Compare main population characteristics in Watertown, SD vs Pana, IL.
| Data | Watertown | Pana |
|---|---|---|
| Population | 23,019 | 5,093 |
| Median Age | 38.9 years | 41.7 years |
| Median Income | $61,320 | $47,763 |
| Married Families | 40.0% | 32.0% |
| Poverty Level | 10% | 10% |
| Unemployment Rate | 3.5 | 5.2 |
Population Comparison: Watertown vs Pana
- In Watertown, the population is higher at 23,019, compared to 5,093 in Pana.
- The median age in Pana is higher at 41.7 years, compared to 38.9 years in Watertown.
- Watertown has a higher median income of $61,320 compared to $47,763 in Pana.
- A higher percentage of married families is found in Watertown at 40.0% compared to 32.0% in Pana.
- The poverty level is identical in both Watertown and Pana at 10%.
- Pana has a higher unemployment rate at 5.2% compared to 3.5% in Watertown.
Demographics
Demographics Watertown vs Pana provide insight into the diversity of the communities to compare.
| Demographic | Watertown | Pana |
|---|---|---|
| Black | 1 | Data is updating |
| White | 87 | 93 |
| Asian | 1 | 1 |
| Hispanic | 4 | 3 |
| Two or More Races | 4 | 3 |
| American Indian | 3 | Data is updating |
Demographics Comparison: Watertown vs Pana
- A higher percentage of Black residents are in Watertown at 1% compared to 0% in Pana.
- The percentage of White residents is higher in Pana at 93% compared to 87% in Watertown.
- Both Watertown and Pana have the same percentage of Asian residents at 1%.
- The Hispanic community is larger in Watertown at 4% compared to 3% in Pana.
- More residents identify as two or more races in Watertown at 4% compared to 3% in Pana.
- A greater percentage of American Indian residents live in Watertown at 3% compared to 0% in Pana.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Watertown | Pana |
|---|---|---|
| Mental Health Not Good | 13.4% | 17.9% |
| Physical Health Not Good | 9.4% | 12.5% |
| Depression | 20.1% | 22.8% |
| Smoking | 18.3% | 21.3% |
| Binge Drinking | 20.1% | 17.5% |
| Obesity | 37.2% | 39.1% |
| Disability Percentage | 13.0% | 16.0% |
Health Statistics Comparison: Watertown vs Pana
- In Pana, a higher percentage report poor mental health at 17.9% compared to 13.4% in Watertown.
- Higher depression rates are seen in Pana at 22.8% versus 20.1% in Watertown.
- Pana has a higher smoking rate at 21.3% compared to 18.3% in Watertown.
- Binge drinking is more common in Watertown at 20.1% compared to 17.5% in Pana.
- Pana has higher obesity rates at 39.1% compared to 37.2% in Watertown.
- There is a higher percentage of disabled individuals in Pana at 16.0% compared to 13.0% in Watertown.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Watertown | Pana |
|---|---|---|
| No Schooling | 1.6% (364) | 0.4% (21) |
| High School Diploma | 23.1% (5,313) | 30.7% (1,563) |
| Less than High School | 11.9% (2,738) | 17.1% (870) |
| Bachelor's Degree and Higher | 13.7% (3,162) | 11.0% (559) |
Education Levels Comparison: Watertown vs Pana
- A higher percentage of residents in Watertown have no formal schooling at 1.6% compared to 0.4% in Pana.
- In Pana, the rate of residents with high school diplomas is higher at 30.7% compared to 23.1% in Watertown.
- The percentage of residents with less than a high school education is higher in Pana at 17.1%, 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 11.0% in Pana.
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.