Demographics details for Odessa, TX vs South plainfield, NJ
Population Overview
Compare main population characteristics in Odessa, TX vs South plainfield, NJ.
| Data | Odessa | South plainfield |
|---|---|---|
| Population | 112,906 | 24,228 |
| Median Age | 30.7 years | 41.8 years |
| Median Income | $71,293 | $123,417 |
| Married Families | 36.0% | 50.0% |
| Poverty Level | 15% | 6% |
| Unemployment Rate | 3.8 | 4.2 |
Population Comparison: Odessa vs South plainfield
- In Odessa, the population is higher at 112,906, compared to 24,228 in South plainfield.
- The median age in South plainfield is higher at 41.8 years, compared to 30.7 years in Odessa.
- South plainfield has a higher median income of $123,417, compared to $71,293 in Odessa.
- In South plainfield, the percentage of married families is higher at 50.0%, compared to 36.0% in Odessa.
- Odessa has a higher poverty level at 15% compared to 6% in South plainfield.
- South plainfield has a higher unemployment rate at 4.2% compared to 3.8% in Odessa.
Demographics
Demographics Odessa vs South plainfield provide insight into the diversity of the communities to compare.
| Demographic | Odessa | South plainfield |
|---|---|---|
| Black | 7 | 12 |
| White | 13 | 46 |
| Asian | 2 | 17 |
| Hispanic | 62 | 18 |
| Two or More Races | 15 | 7 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Odessa vs South plainfield
- In South plainfield, the percentage of Black residents is higher at 12% compared to 7% in Odessa.
- The percentage of White residents is higher in South plainfield at 46% compared to 13% in Odessa.
- In South plainfield, the Asian population stands at 17%, greater than 2% in Odessa.
- The Hispanic community is larger in Odessa at 62% compared to 18% in South plainfield.
- More residents identify as two or more races in Odessa at 15% compared to 7% in South plainfield.
- A greater percentage of American Indian residents live in Odessa at 1% compared to 0% in South plainfield.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Odessa | South plainfield |
|---|---|---|
| Mental Health Not Good | 16.9% | 14.4% |
| Physical Health Not Good | 12.5% | 9.0% |
| Depression | 22.9% | 19.0% |
| Smoking | 16.5% | 12.0% |
| Binge Drinking | 17.2% | 15.2% |
| Obesity | 37.4% | 29.0% |
| Disability Percentage | 10.0% | 9.0% |
Health Statistics Comparison: Odessa vs South plainfield
- More residents in Odessa report poor mental health at 16.9% compared to 14.4% in South plainfield.
- Depression is more prevalent in Odessa at 22.9% compared to 19.0% in South plainfield.
- Smoking is more prevalent in Odessa at 16.5% compared to 12.0% in South plainfield.
- Binge drinking is more common in Odessa at 17.2% compared to 15.2% in South plainfield.
- Obesity rates are higher in Odessa at 37.4% compared to 29.0% in South plainfield.
- Disability percentages are higher in Odessa at 10.0% compared to 9.0% in South plainfield.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Odessa | South plainfield |
|---|---|---|
| No Schooling | 1.8% (2,019) | 1.4% (328) |
| High School Diploma | 14.3% (16,149) | 16.6% (4,012) |
| Less than High School | 22.4% (25,268) | 9.0% (2,175) |
| Bachelor's Degree and Higher | 11.2% (12,609) | 31.5% (7,629) |
Education Levels Comparison: Odessa vs South plainfield
- A higher percentage of residents in Odessa have no formal schooling at 1.8% compared to 1.4% in South plainfield.
- In South plainfield, the rate of residents with high school diplomas is higher at 16.6% compared to 14.3% in Odessa.
- More residents in Odessa have less than a high school education at 22.4% compared to 9.0% in South plainfield.
- In South plainfield, a larger share of residents have a bachelor's degree or higher at 31.5% compared to 11.2% 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.