Demographics details for Woodstock, MN vs Swan lake, NY
Population Overview
Compare main population characteristics in Woodstock, MN vs Swan lake, NY.
Data | Woodstock | Swan lake |
---|---|---|
Population | 110 | 331 |
Median Age | 33.6 years | 40.0 years |
Median Income | $53,804 | $55,000 |
Married Families | 68.0% | 52.0% |
Poverty Level | 10% | 5% |
Unemployment Rate | 3.1 | 3.0 |
Population Comparison: Woodstock vs Swan lake
- The population in Swan lake is higher at 331, compared to 110 in Woodstock.
- The median age in Swan lake is higher at 40.0 years, compared to 33.6 years in Woodstock.
- Swan lake has a higher median income of $55,000, compared to $53,804 in Woodstock.
- A higher percentage of married families is found in Woodstock at 68.0% compared to 52.0% in Swan lake.
- Woodstock has a higher poverty level at 10% compared to 5% in Swan lake.
- The unemployment rate in Woodstock is higher at 3.1%, compared to 3.0% in Swan lake.
Demographics
Demographics Woodstock vs Swan lake provide insight into the diversity of the communities to compare.
Demographic | Woodstock | Swan lake |
---|---|---|
Black | Data is updating | 5 |
White | 95 | 80 |
Asian | Data is updating | 10 |
Hispanic | 3 | 5 |
Two or More Races | 2 | Data is updating |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Woodstock vs Swan lake
- In Swan lake, the percentage of Black residents is higher at 5% compared to 0% in Woodstock.
- Woodstock has a higher percentage of White residents at 95% compared to 80% in Swan lake.
- In Swan lake, the Asian population stands at 10%, greater than 0% in Woodstock.
- Swan lake has a higher percentage of Hispanic residents at 5%, compared to 3% in Woodstock.
- More residents identify as two or more races in Woodstock at 2% compared to 0% in Swan lake.
- The percentage of American Indian residents is the same in both Woodstock and Swan lake at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Woodstock | Swan lake |
---|---|---|
Mental Health Not Good | 14.4% | Data is updating% |
Physical Health Not Good | 9.1% | Data is updating% |
Depression | 21.7% | Data is updating% |
Smoking | 17.8% | Data is updating% |
Binge Drinking | 20.9% | Data is updating% |
Obesity | 34.6% | Data is updating% |
Disability Percentage | 5.0% | Data is updating% |
Health Statistics Comparison: Woodstock vs Swan lake
- More residents in Woodstock report poor mental health at 14.4% compared to 0.0% in Swan lake.
- Depression is more prevalent in Woodstock at 21.7% compared to 0.0% in Swan lake.
- Smoking is more prevalent in Woodstock at 17.8% compared to 0.0% in Swan lake.
- Binge drinking is more common in Woodstock at 20.9% compared to 0.0% in Swan lake.
- Obesity rates are higher in Woodstock at 34.6% compared to 0.0% in Swan lake.
- Disability percentages are higher in Woodstock at 5.0% compared to 0.0% in Swan lake.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Woodstock | Swan lake |
---|---|---|
No Schooling | 0.9% (1) | 0.0% (Data is updating) |
High School Diploma | 20.0% (22) | 0.0% (Data is updating) |
Less than High School | 14.5% (16) | 0.0% (Data is updating) |
Bachelor's Degree and Higher | 10.9% (12) | 0.0% (Data is updating) |
Education Levels Comparison: Woodstock vs Swan lake
- A higher percentage of residents in Woodstock have no formal schooling at 0.9% compared to 0.0% in Swan lake.
- A higher percentage of residents in Woodstock hold a high school diploma at 20.0% compared to 0.0% in Swan lake.
- More residents in Woodstock have less than a high school education at 14.5% compared to 0.0% in Swan lake.
- A higher percentage of residents in Woodstock hold a bachelor's degree or higher at 10.9% compared to 0.0% in Swan lake.
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.