Demographics details for Wheeler, WI vs New london, CT
Population Overview
Compare main population characteristics in Wheeler, WI vs New london, CT.
| Data | Wheeler | New london |
|---|---|---|
| Population | 331 | 27,980 |
| Median Age | 42.6 years | 35.5 years |
| Median Income | $54,167 | $56,237 |
| Married Families | 31.0% | 24.0% |
| Poverty Level | 8% | 12% |
| Unemployment Rate | 4.0 | 3.6 |
Population Comparison: Wheeler vs New london
- The population in New london is higher at 27,980, compared to 331 in Wheeler.
- Residents in Wheeler have a higher median age of 42.6 years compared to 35.5 years in New london.
- New london has a higher median income of $56,237, compared to $54,167 in Wheeler.
- A higher percentage of married families is found in Wheeler at 31.0% compared to 24.0% in New london.
- The poverty level is higher in New london at 12%, compared to 8% in Wheeler.
- The unemployment rate in Wheeler is higher at 4.0%, compared to 3.6% in New london.
Demographics
Demographics Wheeler vs New london provide insight into the diversity of the communities to compare.
| Demographic | Wheeler | New london |
|---|---|---|
| Black | Data is updating | 17 |
| White | 94 | 41 |
| Asian | Data is updating | 2 |
| Hispanic | 4 | 29 |
| Two or More Races | 2 | 11 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Wheeler vs New london
- In New london, the percentage of Black residents is higher at 17% compared to 0% in Wheeler.
- Wheeler has a higher percentage of White residents at 94% compared to 41% in New london.
- In New london, the Asian population stands at 2%, greater than 0% in Wheeler.
- New london has a higher percentage of Hispanic residents at 29%, compared to 4% in Wheeler.
- The percentage of residents identifying as two or more races is higher in New london at 11%, compared to 2% in Wheeler.
- The percentage of American Indian residents is the same in both Wheeler and New london at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Wheeler | New london |
|---|---|---|
| Mental Health Not Good | 15.9% | 17.9% |
| Physical Health Not Good | 10.8% | 12.5% |
| Depression | 24.4% | 23.3% |
| Smoking | 17.9% | 19.5% |
| Binge Drinking | 23.6% | 15.2% |
| Obesity | 37.4% | 37.1% |
| Disability Percentage | 24.0% | 14.0% |
Health Statistics Comparison: Wheeler vs New london
- In New london, a higher percentage report poor mental health at 17.9% compared to 15.9% in Wheeler.
- Depression is more prevalent in Wheeler at 24.4% compared to 23.3% in New london.
- New london has a higher smoking rate at 19.5% compared to 17.9% in Wheeler.
- Binge drinking is more common in Wheeler at 23.6% compared to 15.2% in New london.
- Obesity rates are higher in Wheeler at 37.4% compared to 37.1% in New london.
- Disability percentages are higher in Wheeler at 24.0% compared to 14.0% in New london.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Wheeler | New london |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.4% (399) |
| High School Diploma | 18.1% (60) | 16.0% (4,487) |
| Less than High School | 16.3% (54) | 13.7% (3,830) |
| Bachelor's Degree and Higher | 3.9% (13) | 16.9% (4,738) |
Education Levels Comparison: Wheeler vs New london
- In New london, a larger percentage of residents lack formal schooling at 1.4% compared to 0.0% in Wheeler.
- A higher percentage of residents in Wheeler hold a high school diploma at 18.1% compared to 16.0% in New london.
- More residents in Wheeler have less than a high school education at 16.3% compared to 13.7% in New london.
- In New london, a larger share of residents have a bachelor's degree or higher at 16.9% compared to 3.9% in Wheeler.
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.