Demographics details for New london, CT vs Orange, CA
Population Overview
Compare main population characteristics in New london, CT vs Orange, CA.
| Data | New london | Orange |
|---|---|---|
| Population | 27,980 | 136,178 |
| Median Age | 35.5 years | 36.5 years |
| Median Income | $56,237 | $109,335 |
| Married Families | 24.0% | 40.0% |
| Poverty Level | 12% | 9% |
| Unemployment Rate | 3.6 | 4.1 |
Population Comparison: New london vs Orange
- The population in Orange is higher at 136,178, compared to 27,980 in New london.
- The median age in Orange is higher at 36.5 years, compared to 35.5 years in New london.
- Orange has a higher median income of $109,335, compared to $56,237 in New london.
- In Orange, the percentage of married families is higher at 40.0%, compared to 24.0% in New london.
- New london has a higher poverty level at 12% compared to 9% in Orange.
- Orange has a higher unemployment rate at 4.1% compared to 3.6% in New london.
Demographics
Demographics New london vs Orange provide insight into the diversity of the communities to compare.
| Demographic | New london | Orange |
|---|---|---|
| Black | 17 | 2 |
| White | 41 | 29 |
| Asian | 2 | 14 |
| Hispanic | 29 | 40 |
| Two or More Races | 11 | 14 |
| American Indian | Data is updating | 1 |
Demographics Comparison: New london vs Orange
- A higher percentage of Black residents are in New london at 17% compared to 2% in Orange.
- New london has a higher percentage of White residents at 41% compared to 29% in Orange.
- In Orange, the Asian population stands at 14%, greater than 2% in New london.
- Orange has a higher percentage of Hispanic residents at 40%, compared to 29% in New london.
- The percentage of residents identifying as two or more races is higher in Orange at 14%, compared to 11% in New london.
- In Orange, the percentage of American Indian residents is higher at 1%, compared to 0% in New london.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | New london | Orange |
|---|---|---|
| Mental Health Not Good | 17.9% | 14.9% |
| Physical Health Not Good | 12.5% | 10.2% |
| Depression | 23.3% | 17.9% |
| Smoking | 19.5% | 10.5% |
| Binge Drinking | 15.2% | 16.8% |
| Obesity | 37.1% | 27.1% |
| Disability Percentage | 14.0% | 8.0% |
Health Statistics Comparison: New london vs Orange
- More residents in New london report poor mental health at 17.9% compared to 14.9% in Orange.
- Depression is more prevalent in New london at 23.3% compared to 17.9% in Orange.
- Smoking is more prevalent in New london at 19.5% compared to 10.5% in Orange.
- More residents engage in binge drinking in Orange at 16.8% compared to 15.2% in New london.
- Obesity rates are higher in New london at 37.1% compared to 27.1% in Orange.
- Disability percentages are higher in New london at 14.0% compared to 8.0% in Orange.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | New london | Orange |
|---|---|---|
| No Schooling | 1.4% (399) | 1.8% (2,483) |
| High School Diploma | 16.0% (4,487) | 11.0% (14,986) |
| Less than High School | 13.7% (3,830) | 15.5% (21,174) |
| Bachelor's Degree and Higher | 16.9% (4,738) | 28.2% (38,372) |
Education Levels Comparison: New london vs Orange
- In Orange, a larger percentage of residents lack formal schooling at 1.8% compared to 1.4% in New london.
- A higher percentage of residents in New london hold a high school diploma at 16.0% compared to 11.0% in Orange.
- The percentage of residents with less than a high school education is higher in Orange at 15.5%, compared to 13.7% in New london.
- In Orange, a larger share of residents have a bachelor's degree or higher at 28.2% 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.