Demographics details for Stockholm, WI vs Sterling, CT
Population Overview
Compare main population characteristics in Stockholm, WI vs Sterling, CT.
Data | Stockholm | Sterling |
---|---|---|
Population | 82 | 3,830 |
Median Age | 69.8 years | 42.0 years |
Median Income | $62,500 | $85,000 |
Married Families | 84.0% | 80.0% |
Poverty Level | Data is updating | 5% |
Unemployment Rate | 2.5 | 2.9 |
Population Comparison: Stockholm vs Sterling
- The population in Sterling is higher at 3,830, compared to 82 in Stockholm.
- Residents in Stockholm have a higher median age of 69.8 years compared to 42.0 years in Sterling.
- Sterling has a higher median income of $85,000, compared to $62,500 in Stockholm.
- A higher percentage of married families is found in Stockholm at 84.0% compared to 80.0% in Sterling.
- The poverty level is higher in Sterling at 5%, compared to 0% in Stockholm.
- Sterling has a higher unemployment rate at 2.9% compared to 2.5% in Stockholm.
Demographics
Demographics Stockholm vs Sterling provide insight into the diversity of the communities to compare.
Demographic | Stockholm | Sterling |
---|---|---|
Black | Data is updating | 2 |
White | 100 | 95 |
Asian | Data is updating | 1 |
Hispanic | Data is updating | 2 |
Two or More Races | Data is updating | Data is updating |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Stockholm vs Sterling
- In Sterling, the percentage of Black residents is higher at 2% compared to 0% in Stockholm.
- Stockholm has a higher percentage of White residents at 100% compared to 95% in Sterling.
- In Sterling, the Asian population stands at 1%, greater than 0% in Stockholm.
- Sterling has a higher percentage of Hispanic residents at 2%, compared to 0% in Stockholm.
- Both Stockholm and Sterling have the same percentage of residents identifying as two or more races at 0%.
- The percentage of American Indian residents is the same in both Stockholm and Sterling at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Stockholm | Sterling |
---|---|---|
Mental Health Not Good | 11.8% | Data is updating% |
Physical Health Not Good | 12.6% | Data is updating% |
Depression | 20.6% | Data is updating% |
Smoking | 16.4% | Data is updating% |
Binge Drinking | 19.3% | Data is updating% |
Obesity | 38.6% | Data is updating% |
Disability Percentage | 26.0% | Data is updating% |
Health Statistics Comparison: Stockholm vs Sterling
- More residents in Stockholm report poor mental health at 11.8% compared to 0.0% in Sterling.
- Depression is more prevalent in Stockholm at 20.6% compared to 0.0% in Sterling.
- Smoking is more prevalent in Stockholm at 16.4% compared to 0.0% in Sterling.
- Binge drinking is more common in Stockholm at 19.3% compared to 0.0% in Sterling.
- Obesity rates are higher in Stockholm at 38.6% compared to 0.0% in Sterling.
- Disability percentages are higher in Stockholm at 26.0% compared to 0.0% in Sterling.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Stockholm | Sterling |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
High School Diploma | 28.0% (23) | 0.0% (Data is updating) |
Less than High School | 2.4% (2) | 0.0% (Data is updating) |
Bachelor's Degree and Higher | 64.6% (53) | 0.0% (Data is updating) |
Education Levels Comparison: Stockholm vs Sterling
- The percentage of residents with no formal schooling is the same in both Stockholm and Sterling at 0.0%.
- A higher percentage of residents in Stockholm hold a high school diploma at 28.0% compared to 0.0% in Sterling.
- More residents in Stockholm have less than a high school education at 2.4% compared to 0.0% in Sterling.
- A higher percentage of residents in Stockholm hold a bachelor's degree or higher at 64.6% compared to 0.0% in Sterling.
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.