Demographics details for Odessa, MO vs New london, CT
Population Overview
Compare main population characteristics in Odessa, MO vs New london, CT.
| Data | Odessa | New london |
|---|---|---|
| Population | 5,606 | 27,980 |
| Median Age | 40.0 years | 35.5 years |
| Median Income | $86,125 | $56,237 |
| Married Families | 42.0% | 24.0% |
| Poverty Level | 6% | 12% |
| Unemployment Rate | 3.2 | 3.6 |
Population Comparison: Odessa vs New london
- The population in New london is higher at 27,980, compared to 5,606 in Odessa.
- Residents in Odessa have a higher median age of 40.0 years compared to 35.5 years in New london.
- Odessa has a higher median income of $86,125 compared to $56,237 in New london.
- A higher percentage of married families is found in Odessa at 42.0% compared to 24.0% in New london.
- The poverty level is higher in New london at 12%, compared to 6% in Odessa.
- New london has a higher unemployment rate at 3.6% compared to 3.2% in Odessa.
Demographics
Demographics Odessa vs New london provide insight into the diversity of the communities to compare.
| Demographic | Odessa | New london |
|---|---|---|
| Black | 1 | 17 |
| White | 94 | 41 |
| Asian | Data is updating | 2 |
| Hispanic | 2 | 29 |
| Two or More Races | 2 | 11 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Odessa vs New london
- In New london, the percentage of Black residents is higher at 17% compared to 1% in Odessa.
- Odessa has a higher percentage of White residents at 94% compared to 41% in New london.
- In New london, the Asian population stands at 2%, greater than 0% in Odessa.
- New london has a higher percentage of Hispanic residents at 29%, compared to 2% in Odessa.
- The percentage of residents identifying as two or more races is higher in New london at 11%, compared to 2% in Odessa.
- A greater percentage of American Indian residents live in Odessa at 1% compared to 0% in New london.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Odessa | New london |
|---|---|---|
| Mental Health Not Good | 17.5% | 17.9% |
| Physical Health Not Good | 12.4% | 12.5% |
| Depression | 24.4% | 23.3% |
| Smoking | 21.6% | 19.5% |
| Binge Drinking | 19.9% | 15.2% |
| Obesity | 40.2% | 37.1% |
| Disability Percentage | 12.0% | 14.0% |
Health Statistics Comparison: Odessa vs New london
- In New london, a higher percentage report poor mental health at 17.9% compared to 17.5% in Odessa.
- Depression is more prevalent in Odessa at 24.4% compared to 23.3% in New london.
- Smoking is more prevalent in Odessa at 21.6% compared to 19.5% in New london.
- Binge drinking is more common in Odessa at 19.9% compared to 15.2% in New london.
- Obesity rates are higher in Odessa at 40.2% compared to 37.1% in New london.
- There is a higher percentage of disabled individuals in New london at 14.0% compared to 12.0% in Odessa.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Odessa | New london |
|---|---|---|
| No Schooling | 0.4% (20) | 1.4% (399) |
| High School Diploma | 27.2% (1,526) | 16.0% (4,487) |
| Less than High School | 8.6% (484) | 13.7% (3,830) |
| Bachelor's Degree and Higher | 15.4% (861) | 16.9% (4,738) |
Education Levels Comparison: Odessa vs New london
- In New london, a larger percentage of residents lack formal schooling at 1.4% compared to 0.4% in Odessa.
- A higher percentage of residents in Odessa hold a high school diploma at 27.2% compared to 16.0% in New london.
- The percentage of residents with less than a high school education is higher in New london at 13.7%, compared to 8.6% in Odessa.
- In New london, a larger share of residents have a bachelor's degree or higher at 16.9% compared to 15.4% in Odessa.
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.