Demographics details for Blanket, TX vs New london, CT
Population Overview
Compare main population characteristics in Blanket, TX vs New london, CT.
| Data | Blanket | New london |
|---|---|---|
| Population | 367 | 27,980 |
| Median Age | 44.5 years | 35.5 years |
| Median Income | $54,583 | $56,237 |
| Married Families | 40.0% | 24.0% |
| Poverty Level | 10% | 12% |
| Unemployment Rate | 3.5 | 3.6 |
Population Comparison: Blanket vs New london
- The population in New london is higher at 27,980, compared to 367 in Blanket.
- Residents in Blanket have a higher median age of 44.5 years compared to 35.5 years in New london.
- New london has a higher median income of $56,237, compared to $54,583 in Blanket.
- A higher percentage of married families is found in Blanket at 40.0% compared to 24.0% in New london.
- The poverty level is higher in New london at 12%, compared to 10% in Blanket.
- New london has a higher unemployment rate at 3.6% compared to 3.5% in Blanket.
Demographics
Demographics Blanket vs New london provide insight into the diversity of the communities to compare.
| Demographic | Blanket | New london |
|---|---|---|
| Black | Data is updating | 17 |
| White | 75 | 41 |
| Asian | Data is updating | 2 |
| Hispanic | 22 | 29 |
| Two or More Races | 2 | 11 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Blanket vs New london
- In New london, the percentage of Black residents is higher at 17% compared to 0% in Blanket.
- Blanket has a higher percentage of White residents at 75% compared to 41% in New london.
- In New london, the Asian population stands at 2%, greater than 0% in Blanket.
- New london has a higher percentage of Hispanic residents at 29%, compared to 22% in Blanket.
- The percentage of residents identifying as two or more races is higher in New london at 11%, compared to 2% in Blanket.
- A greater percentage of American Indian residents live in Blanket at 1% compared to 0% in New london.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Blanket | New london |
|---|---|---|
| Mental Health Not Good | 17.6% | 17.9% |
| Physical Health Not Good | 11.4% | 12.5% |
| Depression | 24.9% | 23.3% |
| Smoking | 17.7% | 19.5% |
| Binge Drinking | 19.9% | 15.2% |
| Obesity | 35.3% | 37.1% |
| Disability Percentage | 25.0% | 14.0% |
Health Statistics Comparison: Blanket vs New london
- In New london, a higher percentage report poor mental health at 17.9% compared to 17.6% in Blanket.
- Depression is more prevalent in Blanket at 24.9% compared to 23.3% in New london.
- New london has a higher smoking rate at 19.5% compared to 17.7% in Blanket.
- Binge drinking is more common in Blanket at 19.9% compared to 15.2% in New london.
- New london has higher obesity rates at 37.1% compared to 35.3% in Blanket.
- Disability percentages are higher in Blanket at 25.0% 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 | Blanket | New london |
|---|---|---|
| No Schooling | 1.4% (5) | 1.4% (399) |
| High School Diploma | 18.8% (69) | 16.0% (4,487) |
| Less than High School | 34.9% (128) | 13.7% (3,830) |
| Bachelor's Degree and Higher | 6.5% (24) | 16.9% (4,738) |
Education Levels Comparison: Blanket vs New london
- The percentage of residents with no formal schooling is the same in both Blanket and New london at 1.4%.
- A higher percentage of residents in Blanket hold a high school diploma at 18.8% compared to 16.0% in New london.
- More residents in Blanket have less than a high school education at 34.9% 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 6.5% in Blanket.
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.