Demographics details for Tyler, TX vs New london, CT
Population Overview
Compare main population characteristics in Tyler, TX vs New london, CT.
| Data | Tyler | New london |
|---|---|---|
| Population | 109,286 | 27,980 |
| Median Age | 34.9 years | 35.5 years |
| Median Income | $63,056 | $56,237 |
| Married Families | 35.0% | 24.0% |
| Poverty Level | 12% | 12% |
| Unemployment Rate | 4.2 | 3.6 |
Population Comparison: Tyler vs New london
- In Tyler, the population is higher at 109,286, compared to 27,980 in New london.
- The median age in New london is higher at 35.5 years, compared to 34.9 years in Tyler.
- Tyler has a higher median income of $63,056 compared to $56,237 in New london.
- A higher percentage of married families is found in Tyler at 35.0% compared to 24.0% in New london.
- The poverty level is identical in both Tyler and New london at 12%.
- The unemployment rate in Tyler is higher at 4.2%, compared to 3.6% in New london.
Demographics
Demographics Tyler vs New london provide insight into the diversity of the communities to compare.
| Demographic | Tyler | New london |
|---|---|---|
| Black | 23 | 17 |
| White | 46 | 41 |
| Asian | 3 | 2 |
| Hispanic | 21 | 29 |
| Two or More Races | 6 | 11 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Tyler vs New london
- A higher percentage of Black residents are in Tyler at 23% compared to 17% in New london.
- Tyler has a higher percentage of White residents at 46% compared to 41% in New london.
- The Asian population is larger in Tyler at 3% compared to 2% in New london.
- New london has a higher percentage of Hispanic residents at 29%, compared to 21% in Tyler.
- The percentage of residents identifying as two or more races is higher in New london at 11%, compared to 6% in Tyler.
- A greater percentage of American Indian residents live in Tyler at 1% compared to 0% in New london.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Tyler | New london |
|---|---|---|
| Mental Health Not Good | 18.0% | 17.9% |
| Physical Health Not Good | 12.5% | 12.5% |
| Depression | 22.9% | 23.3% |
| Smoking | 18.0% | 19.5% |
| Binge Drinking | 16.8% | 15.2% |
| Obesity | 37.5% | 37.1% |
| Disability Percentage | 11.0% | 14.0% |
Health Statistics Comparison: Tyler vs New london
- More residents in Tyler report poor mental health at 18.0% compared to 17.9% in New london.
- Higher depression rates are seen in New london at 23.3% versus 22.9% in Tyler.
- New london has a higher smoking rate at 19.5% compared to 18.0% in Tyler.
- Binge drinking is more common in Tyler at 16.8% compared to 15.2% in New london.
- Obesity rates are higher in Tyler at 37.5% compared to 37.1% in New london.
- There is a higher percentage of disabled individuals in New london at 14.0% compared to 11.0% in Tyler.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Tyler | New london |
|---|---|---|
| No Schooling | 0.9% (1,016) | 1.4% (399) |
| High School Diploma | 11.0% (12,027) | 16.0% (4,487) |
| Less than High School | 13.4% (14,636) | 13.7% (3,830) |
| Bachelor's Degree and Higher | 19.4% (21,157) | 16.9% (4,738) |
Education Levels Comparison: Tyler vs New london
- In New london, a larger percentage of residents lack formal schooling at 1.4% compared to 0.9% in Tyler.
- In New london, the rate of residents with high school diplomas is higher at 16.0% compared to 11.0% in Tyler.
- The percentage of residents with less than a high school education is higher in New london at 13.7%, compared to 13.4% in Tyler.
- A higher percentage of residents in Tyler hold a bachelor's degree or higher at 19.4% compared to 16.9% in New london.
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.