Demographics details for New london, OH vs Lexington, NC
Population Overview
Compare main population characteristics in New london, OH vs Lexington, NC.
| Data | New london | Lexington |
|---|---|---|
| Population | 2,386 | 19,679 |
| Median Age | 37.1 years | 38.6 years |
| Median Income | $50,778 | $36,868 |
| Married Families | 41.0% | 31.0% |
| Poverty Level | 12% | 15% |
| Unemployment Rate | 3.6 | 5.2 |
Population Comparison: New london vs Lexington
- The population in Lexington is higher at 19,679, compared to 2,386 in New london.
- The median age in Lexington is higher at 38.6 years, compared to 37.1 years in New london.
- New london has a higher median income of $50,778 compared to $36,868 in Lexington.
- A higher percentage of married families is found in New london at 41.0% compared to 31.0% in Lexington.
- The poverty level is higher in Lexington at 15%, compared to 12% in New london.
- Lexington has a higher unemployment rate at 5.2% compared to 3.6% in New london.
Demographics
Demographics New london vs Lexington provide insight into the diversity of the communities to compare.
| Demographic | New london | Lexington |
|---|---|---|
| Black | 2 | 31 |
| White | 93 | 38 |
| Asian | Data is updating | 4 |
| Hispanic | 1 | 16 |
| Two or More Races | 4 | 11 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: New london vs Lexington
- In Lexington, the percentage of Black residents is higher at 31% compared to 2% in New london.
- New london has a higher percentage of White residents at 93% compared to 38% in Lexington.
- In Lexington, the Asian population stands at 4%, greater than 0% in New london.
- Lexington has a higher percentage of Hispanic residents at 16%, compared to 1% in New london.
- The percentage of residents identifying as two or more races is higher in Lexington at 11%, compared to 4% in New london.
- The percentage of American Indian residents is the same in both New london and Lexington at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | New london | Lexington |
|---|---|---|
| Mental Health Not Good | 19.7% | 19.2% |
| Physical Health Not Good | 14.3% | 15.5% |
| Depression | 26.4% | 25.0% |
| Smoking | 25.2% | 24.1% |
| Binge Drinking | 18.4% | 13.8% |
| Obesity | 44.0% | 42.7% |
| Disability Percentage | 18.0% | 18.0% |
Health Statistics Comparison: New london vs Lexington
- More residents in New london report poor mental health at 19.7% compared to 19.2% in Lexington.
- Depression is more prevalent in New london at 26.4% compared to 25.0% in Lexington.
- Smoking is more prevalent in New london at 25.2% compared to 24.1% in Lexington.
- Binge drinking is more common in New london at 18.4% compared to 13.8% in Lexington.
- Obesity rates are higher in New london at 44.0% compared to 42.7% in Lexington.
- Disability percentages are the same in both New london and Lexington at 18.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | New london | Lexington |
|---|---|---|
| No Schooling | 0.4% (9) | 2.7% (531) |
| High School Diploma | 29.3% (698) | 17.0% (3,355) |
| Less than High School | 18.7% (447) | 25.6% (5,036) |
| Bachelor's Degree and Higher | 5.2% (124) | 10.2% (2,009) |
Education Levels Comparison: New london vs Lexington
- In Lexington, a larger percentage of residents lack formal schooling at 2.7% compared to 0.4% in New london.
- A higher percentage of residents in New london hold a high school diploma at 29.3% compared to 17.0% in Lexington.
- The percentage of residents with less than a high school education is higher in Lexington at 25.6%, compared to 18.7% in New london.
- In Lexington, a larger share of residents have a bachelor's degree or higher at 10.2% compared to 5.2% 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.