Demographics details for New london, OH vs Otto, NC
Population Overview
Compare main population characteristics in New london, OH vs Otto, NC.
| Data | New london | Otto |
|---|---|---|
| Population | 2,386 | 1,000 |
| Median Age | 37.1 years | 45.0 years |
| Median Income | $50,778 | $50,000 |
| Married Families | 41.0% | 300.0% |
| Poverty Level | 12% | 12% |
| Unemployment Rate | 3.6 | 4.5 |
Population Comparison: New london vs Otto
- In New london, the population is higher at 2,386, compared to 1,000 in Otto.
- The median age in Otto is higher at 45.0 years, compared to 37.1 years in New london.
- New london has a higher median income of $50,778 compared to $50,000 in Otto.
- In Otto, the percentage of married families is higher at 300.0%, compared to 41.0% in New london.
- The poverty level is identical in both New london and Otto at 12%.
- Otto has a higher unemployment rate at 4.5% compared to 3.6% in New london.
Demographics
Demographics New london vs Otto provide insight into the diversity of the communities to compare.
| Demographic | New london | Otto |
|---|---|---|
| Black | 2 | 5 |
| White | 93 | 95 |
| Asian | Data is updating | Data is updating |
| Hispanic | 1 | Data is updating |
| Two or More Races | 4 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: New london vs Otto
- In Otto, the percentage of Black residents is higher at 5% compared to 2% in New london.
- The percentage of White residents is higher in Otto at 95% compared to 93% in New london.
- Both New london and Otto have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in New london at 1% compared to 0% in Otto.
- More residents identify as two or more races in New london at 4% compared to 0% in Otto.
- The percentage of American Indian residents is the same in both New london and Otto at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | New london | Otto |
|---|---|---|
| Mental Health Not Good | 19.7% | Data is updating% |
| Physical Health Not Good | 14.3% | Data is updating% |
| Depression | 26.4% | Data is updating% |
| Smoking | 25.2% | Data is updating% |
| Binge Drinking | 18.4% | Data is updating% |
| Obesity | 44.0% | Data is updating% |
| Disability Percentage | 18.0% | Data is updating% |
Health Statistics Comparison: New london vs Otto
- More residents in New london report poor mental health at 19.7% compared to 0.0% in Otto.
- Depression is more prevalent in New london at 26.4% compared to 0.0% in Otto.
- Smoking is more prevalent in New london at 25.2% compared to 0.0% in Otto.
- Binge drinking is more common in New london at 18.4% compared to 0.0% in Otto.
- Obesity rates are higher in New london at 44.0% compared to 0.0% in Otto.
- Disability percentages are higher in New london at 18.0% compared to 0.0% in Otto.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | New london | Otto |
|---|---|---|
| No Schooling | 0.4% (9) | 0.0% (Data is updating) |
| High School Diploma | 29.3% (698) | 0.0% (Data is updating) |
| Less than High School | 18.7% (447) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 5.2% (124) | 0.0% (Data is updating) |
Education Levels Comparison: New london vs Otto
- A higher percentage of residents in New london have no formal schooling at 0.4% compared to 0.0% in Otto.
- A higher percentage of residents in New london hold a high school diploma at 29.3% compared to 0.0% in Otto.
- More residents in New london have less than a high school education at 18.7% compared to 0.0% in Otto.
- A higher percentage of residents in New london hold a bachelor's degree or higher at 5.2% compared to 0.0% in Otto.
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.